Tag: Sustainable Engineering Award

Heba Abdallah | Chemical Engineering | Women Researcher Award

Published on by World Science Awards

Prof. Heba Abdallah | Chemical Engineering | Women Researcher Award

Professor at National Research Centre, Egypt

Heba Abdallah Mohamed Abdallah is a distinguished professor of Chemical Engineering at the National Research Centre in Cairo, Egypt. She is a leading consultant engineer specializing in the manufacturing of special membranes for water treatment processes. With over two decades of experience, she has made significant contributions to chemical engineering, particularly in membrane technology, water desalination, and wastewater treatment. Her expertise spans the production of flat sheet, spiral wound, and hollow fiber membranes, as well as catalytic membrane reactors. Heba has played a pivotal role in advancing membrane-based solutions for environmental sustainability and industrial applications. She has participated in numerous international conferences and workshops, showcasing her dedication to continuous learning and knowledge dissemination. As a prolific researcher, she has authored and co-authored several high-impact scientific publications focusing on water purification, photocatalysis, and membrane performance enhancement. Her involvement in prestigious research projects and collaborations with international institutions reflects her global influence in the field. Heba Abdallah’s contributions extend beyond research, as she actively mentors young researchers and engineers, inspiring future generations to drive technological innovations for sustainable water management.

Professional Profile

Education

Heba Abdallah holds a Ph.D. in Chemical Engineering from Cairo University, awarded in November 2010. Her doctoral research focused on the kinetics study of esterification reactions using catalytic membranes, showcasing her expertise in membrane-based chemical processes. She also earned a Master of Science (M.Sc.) in Chemical Engineering from Cairo University in December 2004. Her master’s thesis evaluated cement lining mortar for cast iron pipes, demonstrating her proficiency in material science and industrial applications. Heba’s academic journey began with a Bachelor of Science (B.Sc.) in Chemical Engineering from Cairo University, completed in May 2000. Her graduation project involved the production of methanol using a multi-tubular reactor, highlighting her early interest in industrial chemical processes. Throughout her academic career, Heba demonstrated a keen focus on engineering solutions for industrial and environmental challenges. Her solid educational foundation has been instrumental in shaping her research career, enabling her to make significant contributions to membrane technology and water treatment.

Professional Experience

Heba Abdallah has an extensive professional background in chemical engineering, with a focus on membrane technology and water treatment. Since 2021, she has been a Professor at the National Research Centre (NRC) in Cairo, Egypt, where she leads advanced research projects on membrane production and application. From 2016 to 2021, she served as an Associate Professor at the NRC, contributing significantly to research and development in water desalination and wastewater treatment. Prior to that, she was a Researcher at the NRC from 2010 to 2016, where she honed her expertise in membrane fabrication and performance enhancement. From 2006 to 2010, she worked as an Associate Researcher at the NRC, focusing on pilot-scale membrane production and testing. Earlier in her career, Heba gained industrial experience as a Research Assistant at El-Nasr Casting Company from 2001 to 2006 and as an Engineer in the same company from 2000 to 2001. Her diverse experience, combining academic research with industrial practice, has made her a recognized expert in the field of chemical engineering and membrane technology.

Research Interests

Heba Abdallah’s research interests span a wide range of chemical engineering fields, with a primary focus on membrane technology. She specializes in the production of flat sheet, spiral wound, and hollow fiber membranes for water desalination and wastewater treatment. Her work explores catalytic membrane reactors, electrodialysis, and reverse electrodialysis technologies for enhanced separation processes. Heba is also deeply involved in microreactor technology, aiming to develop efficient and sustainable chemical processes. Her research addresses environmental challenges, including the treatment of industrial effluents, removal of contaminants, and development of advanced filtration systems. She is particularly interested in the application of membrane technology in fuel cells, contributing to the development of clean energy solutions. Heba’s research also extends to the fabrication of nanocomposite membranes with enhanced antifouling and photocatalytic properties, targeting improved water purification efficiency. Her commitment to innovative research continues to drive advancements in sustainable water management and industrial membrane applications.

Research Skills

Heba Abdallah possesses a diverse set of research skills that contribute to her expertise in chemical engineering. She excels in the synthesis and fabrication of membranes, including flat sheet, spiral wound, and hollow fiber designs. Her technical proficiency extends to the development and optimization of catalytic membrane reactors for chemical processes. Heba has significant experience in water desalination technologies, including reverse osmosis and forward osmosis systems. She is skilled in the design and application of microreactors for industrial chemical reactions, enhancing process efficiency and scalability. Her analytical skills include membrane performance evaluation, fouling resistance assessment, and photocatalytic activity testing. Additionally, she is adept at using advanced characterization techniques such as scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray diffraction (XRD) to analyze membrane morphology and composition. Heba’s expertise in wastewater treatment, membrane surface modification, and electrodialysis technologies underscores her capacity to develop innovative solutions for water purification and industrial processes.

Awards and Honors

Heba Abdallah has received numerous accolades for her contributions to chemical engineering and membrane technology. Her participation in international conferences and workshops has earned her recognition for presenting groundbreaking research on membrane applications in water treatment. She was honored for her role in the development of innovative polymeric and ceramic membranes, enhancing water purification efficiency. Heba’s collaborations with international institutions, including her training at Holykem Company in China and Alabama University in the United States, reflect her global influence. She has also been acknowledged for her contributions to scientific innovation through her involvement in the Cairo International Exhibition of Innovation. Her membership in the Egyptian National Network in Nanotechnology highlights her commitment to advancing nanotechnology applications in membrane science. Heba’s continuous pursuit of excellence and her impactful contributions to sustainable water management have positioned her as a leading figure in the field of chemical engineering.

Conclusion

Heba Abdallah is a prominent figure in chemical engineering, recognized for her expertise in membrane technology and water treatment. With a strong academic background, extensive research experience, and a passion for innovation, she has made significant contributions to sustainable water management and industrial chemical processes. Her work on advanced membrane fabrication, water desalination, and wastewater treatment has been widely acclaimed in scientific communities. Heba’s commitment to knowledge dissemination is evident through her participation in international conferences and her numerous publications in high-impact journals. Her influence extends beyond research, as she actively mentors and collaborates with other scientists to drive technological advancements. Heba Abdallah’s dedication to developing efficient and eco-friendly membrane technologies continues to play a vital role in addressing global water challenges and promoting sustainable industrial practices.

Publications Top Notes

  1. The Use of Green Synthesized TiO2/MnO2 Nanoparticles in Solar Power Membranes for Pulp and Paper Industry Wastewater Treatment

    • Authors: S.A. Mousa, Sahar A.; H.M. Abdallah, Heba Mohamed; S.A. Khairy, Sherif A.
    • Year: 2025

  2. Modification of Blend Reverse Osmosis Membranes Using ZrO2 for Desalination Process Purposes

    • Authors: S.O. Alaswad, Saleh O.; E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2025

  3. Integrated System of Reverse Osmosis and Forward Pressure-Assisted Osmosis from ZrO2 Base Polymer Membranes for Desalination Technology

    • Authors: S.O. Alaswad, Saleh O.; H.M. Abdallah, Heba Mohamed; E.S. Mansor, Eman S.
    • Year: 2024

  4. Fabrication and Assessment of Performance of Clay-Based Ceramic Membranes Impregnated with CNTs in Dye Removal

    • Authors: K.H. Hamad, Kareem H.; H.M. Abdallah, Heba Mohamed; S.T. Aly, Sohair T.; R.M. Abobeah, Reda M.; S.K. Amin, Sh K.
    • Year: 2024

  5. High-Performance Metal-Organic Frameworks for Efficient Adsorption, Controlled Release, and Membrane Separation of Organophosphate Pesticides

    • Authors: A.M. Ashraf, Abdallah M.; M.H. Khedr, Mohamed Hamdy; A.A. Farghali, Ahmed A.; H.M. Abdallah, Heba Mohamed; M. Taha, Mohamed
    • Year: 2024
    • Citations: 4

  6. Integrated Membranes System for Water Application in Microbiology/Molecular Biology

    • Authors: H.M. Abdallah, Heba Mohamed; D.N. Abd-Elshafy, Dina Nadeem; M.S. Shalaby, Marwa Saied; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  7. The Role of Membrane Filtration in Wastewater Treatment

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 1

  8. Production of Disinfective Coating Layer to Facial Masks Supplemented with Camellia sinensis Extract

    • Authors: D.N. Abd-Elshafy, Dina Nadeem; H.M. Abdallah, Heba Mohamed; R. Nadeem, Rola; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  9. Highly Effective Ultrafiltration Membranes Based on Plastic Waste for Dye Removal from Water

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 4

  10. Parameters Affecting Synthesis of Sulfonated Chitosan Membrane for Proton Exchange Membrane in Fuel Cells

  • Authors: S.G. Abd-Elnaeem, Sara G.; A.I. Hafez, Azza Ibrahim; K.M. El‑khatib, Kamel M.; M.K. Fouad, Mai Kamal; E.F. Abadir, Ehab Fouad
  • Year: 2024
  • Citations: 1

Dan Yang | Chemical Engineering | Best Researcher Award

Published on by World Science Awards

Assoc. Prof. Dr. Dan Yang | Chemical Engineering | Best Researcher Award

School of Chemistry and Molecular Engineering, Nanjing Tech University, China

Dan Yang is an accomplished associate professor at Nanjing Tech University, specializing in chemistry and molecular engineering. With a strong academic foundation and extensive research experience, she focuses on the synthesis of metal nanoclusters and their applications in photoelectrocatalysis and electrocatalysis. Her research aims to develop innovative solutions for CO2 reduction and biomass conversion, contributing to sustainable chemical processes. Throughout her career, she has made significant contributions to the field, authoring multiple high-impact publications in renowned scientific journals. Dan Yang has successfully secured competitive research grants, demonstrating her expertise in securing funding for cutting-edge projects. With her deep-rooted knowledge in physical chemistry and material science, she continues to make impactful strides in catalysis research, earning recognition and respect in her field.

Professional Profile

ORCID Profile

Education

Dan Yang has an extensive academic background in chemistry and material science. She earned her doctoral degree in physical chemistry from Nanjing University (2017–2020) under the supervision of Professors Weiping Ding and Yan Zhu. During her doctoral studies, she focused on the catalytic conversion of C1 molecules using metal clusters. Prior to this, she obtained a master’s degree in material science from Sun Yat-sen University (2012–2014), where she worked under Professor Yuezhong Meng, specializing in the development of advanced materials. Her educational journey began at Northwest Normal University, where she completed her bachelor’s degree in chemistry (2008–2012), building a strong foundation in chemical principles and laboratory techniques. This diverse and robust educational background has equipped Dan Yang with the expertise to conduct innovative research in electrocatalysis and sustainable chemical processes.

Professional Experience

Dan Yang’s professional career reflects her dedication to advancing chemical research. She is currently an associate professor at Nanjing Tech University (2023–present), where she leads research on metal nanocluster synthesis and their applications in photoelectrocatalysis and electrocatalysis of C1 molecules and biomass conversion. Prior to her current role, she served as a postdoctoral researcher at the same university (2021–2022), where she worked on electrocatalytic CO2 reduction reactions (CO2RR) and the conversion of biomass derivatives into valuable chemical products. From 2014 to 2016, she was an assistant research fellow at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. There, she contributed to the development of fine chemicals, including phase-change materials, epoxide plasticizers, and bio-based polyols. Her diverse professional experience underscores her expertise in catalysis, sustainable chemical synthesis, and material science.

Research Interests

Dan Yang’s research interests revolve around catalysis and sustainable chemistry. She specializes in the synthesis of metal nanoclusters and their catalytic applications in photoelectrocatalysis and electrocatalysis. Her current focus includes CO2 reduction reactions (CO2RR) to produce carbon monoxide (CO) and formic acid (HCOOH), offering potential solutions for carbon capture and utilization. She also explores the electrocatalytic transformation of biomass-derived molecules, such as glycerol and glucose, into valuable carboxylic acid products. Additionally, her work investigates the evolution of metal-ligand interfaces in nanoclusters and their impact on catalytic performance. Through her research, Dan Yang aims to develop efficient and sustainable catalytic systems that address environmental challenges and promote green chemical processes.

Research Skills

Dan Yang possesses a diverse set of research skills in the fields of catalysis and material science. She is highly proficient in the synthesis and characterization of metal nanoclusters, utilizing techniques such as transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), and nuclear magnetic resonance (NMR) to analyze cluster structures. Her expertise extends to electrochemical methods, including cyclic voltammetry and chronoamperometry, for evaluating catalytic performance. Additionally, she has experience in biomass conversion processes, utilizing electrocatalysis and photoelectrocatalysis techniques. Her analytical skills include advanced data interpretation and the use of computational tools for modeling catalytic reactions. Dan Yang’s technical proficiency enables her to design and optimize catalytic systems for efficient and selective chemical transformations.

Awards and Honors

Dan Yang has received several prestigious awards and research grants in recognition of her contributions to catalysis research. She was awarded the Young Scientists Fund of the National Natural Science Foundation of China (NSFC) for her project on the evolution of metal-ligand interfaces in gold clusters for CO2 reduction (2025–2027). She also leads a sub-project of the NSFC International Cooperation and Exchanges Program, focusing on new catalysts and materials for CO2 capture and conversion (2024–2026). Additionally, she secured funding from the Jiangsu Natural Science Foundation of China for her work on glycerol carbonate synthesis through electrochemical CO2 conversion (2023–2026). Dan Yang previously received support from the China Postdoctoral Science Foundation for her research on electrolyte-regulated CO2RR using gold clusters (2022–2023). These accolades highlight her innovative research and scientific impact.

Conclusion

Dan Yang is a distinguished researcher and associate professor with a profound expertise in catalysis, material science, and sustainable chemical processes. Her academic journey, spanning from physical chemistry to material science, has equipped her with the skills and knowledge to tackle complex challenges in CO2 reduction and biomass conversion. With a prolific publication record and multiple research grants, she continues to make significant contributions to the field. Her commitment to advancing sustainable catalytic processes reflects her dedication to addressing pressing environmental challenges. Through her innovative research, Dan Yang remains at the forefront of scientific discovery, driving advancements in electrocatalysis and green chemistry.

Publications Top Notes

  1. Metal-ligand interfaces for well-defined gold nanoclusters
    Authors: Yang, Dan; Wu, Yating; Yuan, Zhaotong; Zhou, Chunmei; Dai, Yihu; Wan, Xiaoyue; Zhu, Yan; Yang, Yanhui
    Journal: Science China Chemistry

  2. Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application
    Authors: Yan, Qian; Yuan, Zhaotong; Wu, Yating; Zhou, Chunmei; Dai, Yihu; Wan, Xiaoyue; Yang, Dan; Liu, Xu; Xue, Nianhua; Zhu, Yan
    Journal: Precision Chemistry

  3. Direct dehydrogenation of propane over Co@silicalite-1 zeolite: Steaming-induced restructuring of Co2+ active sites
    Authors: Long, Jiangping; Tian, Suyang; Wei, Sheng; Lin, Hongqiao; Shi, Guiwen; Zong, Xupeng; Yang, Yanhui; Yang, Dan; Tang, Yu; Dai, Yihu
    Journal: Applied Surface Science

  4. Metal-carbonate interface promoted activity of Ag/MgCO3 catalyst for aqueous-phase formaldehyde reforming into hydrogen
    Authors: Wang, Qiaojuan; Wang, Jianyue; Rui, Wenjuan; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Li, Renhong; Liu, Wen; Dai, Yihu; Yang, Yanhui
    Journal: Fuel

  5. Nonoxidative propane dehydrogenation by isolated Co2+ in BEA zeolite: Dealumination-determined key steps of propane C-H activation and propylene desorption
    Authors: Wei, Sheng; Dai, Hua; Long, Jiangping; Lin, Hongqiao; Gu, Junkun; Zong, Xupeng; Yang, Dan; Tang, Yu; Yang, Yanhui; Dai, Yihu
    Journal: Chemical Engineering Journal

  6. Investigation into the coking-related key reaction steps in dry reforming of methane over NiMgOx catalyst
    Authors: Wang, Jianyue; Wang, Jiawei; Wei, Sheng; Zhang, Yiwen; Tian, Fuhou; Yang, Dan; Kustov, Leonid M.; Yang, Yanhui; Dai, Yihu
    Journal: Molecular Catalysis

  7. Ball-milling-induced phase transition of ZrO2 promotes selective oxidation of glycerol to dihydroxyacetone over supported PtBi bimetal catalyst
    Authors: Luo, Pan; Wang, Jianyue; Rui, Wenjuan; Xu, Ruilin; Kuai, Zhiyuan; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Yang, Yanhui; Dai, Yihu
    Journal: Chemical Engineering Journal

  8. Catalytic Conversion of C1 Molecules on Atomically Precise Metal Nanoclusters (vol 4, pg 66, 2022)
    Authors: Not listed
    Journal: CCS Chemistry

  9. Non-oxidative propane dehydrogenation over Co/Ti-ZSM-5 catalysts: Ti species-tuned Co state and surface acidity
    Authors: Wu, Yueqi; Long, Jiangping; Wei, Sheng; Gao, Yating; Yang, Dan; Dai, Yihu; Yang, Yanhui
    Journal: Microporous and Mesoporous Materials

  10. On the effect of zeolite acid property and reaction pathway in Pd-catalyzed hydrogenation of furfural to cyclopentanone
    Authors: Gao, Xing; Ding, Yingying; Peng, Lilin; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Liu, Wen; Dai, Yihu; Yang, Yanhui
    Journal: Fuel

  11. Research Progress in Electrocatalytic CO2 Reduction Reaction over Gold Clusters
    Authors: Yang, Dan; Liu, Xu; Dai, Yihu; Zhu, Yan; Yang, Yanhui
    Journal: Chemical Journal of Chinese Universities

  12. Electrocatalytic CO2 Reduction over Atomically Precise Metal Nanoclusters Protected by Organic Ligands
    Authors: Yang, Dan; Wang, Jiawei; Wang, Qiaojuan; Yuan, Zhaotong; Dai, Yihu; Zhou, Chunmei; Wan, Xiaoyue; Zhang, Qichun; Yang, Yanhui
    Journal: ACS Nano

  13. Chemoselective Oxidation of Glycerol over Platinum‐Based Catalysts: Toward the Role of Oxide Promoter
    Authors: Not listed
    Journal: ChemCatChem

  14. Catalytic Conversion of C1 Molecules on Atomically Precise Metal Nanoclusters
    Authors: Not listed
    Journal: CCS Chemistry

  15. Distinct chemical fixation of CO2 enabled by exotic gold nanoclusters
    Authors: Yang, Dan; Song, Yu; Yang, Fang; Sun, Yongnan; Li, Shuohao; Liu, Xu; Zhu, Yan; Yang, Yanhui
    Journal: The Journal of Chemical Physics

  16. A survey of recent progress on novel catalytic materials with precise crystalline structures for oxidation/hydrogenation of key biomass platform chemicals
    Authors: Not listed
    Journal: EcoMat

  17. Selective CO2 conversion tuned by periodicities in Au8n+4(TBBT)4n+8 nanoclusters
    Authors: Not listed
    Journal: Nano Research

  18. Evolution of catalytic activity driven by structural fusion of icosahedral gold cluster cores
    Authors: Not listed
    Journal: Chinese Journal of Catalysis

  19. Ligand-protected Au4Ru2 and Au5Ru2 nanoclusters: distinct structures and implications for site-cooperation catalysis
    Authors: Not listed
    Journal: Chemical Communications

  20. Structural Relaxation Enabled by Internal Vacancy Available in a 24-Atom Gold Cluster Reinforces Catalytic Reactivity
    Authors: Not listed
    Journal: Journal of the American Chemical Society

  21. Controllable Conversion of CO2 on Non‐Metallic Gold Clusters
    Authors: Not listed
    Journal: Angewandte Chemie International Edition

  22. Sequence isomerism-dependent self-assembly of glycopeptide mimetics with switchable antibiofilm properties
    Authors: Chen, Limin; Feng, Jie; Yang, Dan; Tian, Falin; Ye, Xiaomin; Qian, Qiuping; Wei, Shuai; Zhou, Yunlong
    Journal: Chemical Science

  23. Switchable modulation of bacterial growth and biofilm formation based on supramolecular tripeptide amphiphiles
    Authors: Chen, Limin; Yang, Dan; Feng, Jie; Zhang, Min; Qian, Qiuping; Zhou, Yunlong
    Journal: Journal of Materials Chemistry B

  24. The Evolution in Catalytic Activity Driven by Periodic Transformation in the Inner Sites of Gold Clusters
    Authors: Sun, Yongnan; Wang, Endong; Ren, Yujing; Xiao, Kang; Liu, Xu; Yang, Dan; Gao, Yi; Ding, Weiping; Zhu, Yan
    Journal: Advanced Functional Materials

Sandeep Belidhe | Engineering | Best Innovation Award

Published on by World Science Awards

Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Jaemin Baek | Engineering | Best Researcher Award

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Prof. Jaemin Baek | Engineering | Best Researcher Award

Professor at Gangneung-Wonju National University, South Korea

Prof. Jaemin Baek is a distinguished researcher and academician specializing in robotics, control theory, and mechatronics. He earned his B.S. degree in Mechanical Engineering from Korea University in 2012 and later completed his Ph.D. in IT Engineering through a joint M.S.-Ph.D. program at Pohang University of Science and Technology (POSTECH) in 2018. His doctoral research focused on time-delayed control schemes and their application to robotic systems. From 2018 to 2020, he served as a senior researcher at the Agency for Defense Development (ADD) in Daejeon, South Korea, where he worked on advanced control systems. Since 2020, he has been an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU). His expertise extends to adaptive and robust control, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. Prof. Baek has made significant contributions to academia through numerous high-impact journal articles and conference papers. His research is instrumental in developing advanced control methodologies for robotic and autonomous systems. With a passion for innovation and engineering excellence, he continues to drive advancements in control systems and robotics, contributing to both theoretical and applied aspects of these fields.

Professional Profile

Education

Prof. Jaemin Baek holds a Ph.D. in IT Engineering from Pohang University of Science and Technology (POSTECH), which he completed in 2018. His doctoral research focused on robotics, control theory, robot control, mechatronics, and artificial intelligence, culminating in his thesis titled “A Study on Time-delayed Control Schemes and Its Application to Robotic Systems.” His graduate studies emphasized adaptive control strategies and their real-world applications in robotic manipulation and autonomous systems. Prior to this, he earned his B.S. degree in Mechanical Engineering from Korea University in 2012, where he gained a strong foundation in advanced mechanical engineering principles. His undergraduate studies provided him with critical insights into mechanical design, system dynamics, and automation, forming the basis for his later work in robotics. His multidisciplinary academic background equips him with a comprehensive understanding of both the theoretical and practical aspects of control engineering. His rigorous training at two of South Korea’s top institutions has shaped his expertise in designing sophisticated robotic control systems. Through continuous research and academic contributions, Prof. Baek remains committed to pushing the boundaries of innovation in control theory and robotics.

Professional Experience

Prof. Jaemin Baek has an extensive professional background in academia and research. Since 2020, he has served as an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU), where he teaches and conducts research on advanced robotics, control systems, and signal processing. Prior to his current role, he was a Senior Researcher at the Agency for Defense Development (ADD) from 2018 to 2020, where he worked on defense-related control technologies and developed cutting-edge methodologies for autonomous systems. His tenure at ADD provided him with valuable experience in applying theoretical control concepts to practical defense applications. In addition to his academic and research responsibilities, Prof. Baek has contributed to numerous high-impact journal articles, furthering advancements in robotics and control engineering. His professional journey reflects his dedication to bridging the gap between theoretical research and practical implementation. He continues to mentor students, collaborate with industry experts, and contribute to the scientific community through his research in adaptive and robust control, robotic manipulation, and synthetic aperture radar (SAR) imaging. His expertise is highly regarded in both academic and industrial circles, making him a prominent figure in his field.

Research Interests

Prof. Jaemin Baek’s research interests encompass a broad range of topics in robotics and control systems. His primary focus areas include adaptive and robust control, time-delayed control schemes, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. He has extensively studied time-delayed control strategies and their applications in robotic systems, leading to the development of novel methodologies that enhance system stability and performance. His work on adaptive sliding-mode control has contributed to improvements in trajectory tracking and precision in robotic manipulators. Additionally, Prof. Baek is involved in research on signal processing for SAR imaging, optimizing radar-based imaging techniques for various applications. His interdisciplinary approach integrates elements of artificial intelligence and machine learning to refine control algorithms and enhance robotic functionality. Through his research, he aims to advance the efficiency and reliability of autonomous and robotic systems in diverse environments. His contributions have been widely recognized in the scientific community, with multiple publications in prestigious journals and conferences. Prof. Baek’s innovative work continues to shape the future of robotics and control engineering, making significant strides in both theoretical development and real-world applications.

Research Skills

Prof. Jaemin Baek possesses a diverse set of research skills that enable him to excel in control engineering and robotics. His expertise in adaptive and robust control design allows him to develop high-precision robotic control systems that function effectively under uncertain conditions. He is proficient in time-delayed control techniques, ensuring improved stability and performance in robotic applications. His skills extend to mechatronics and signal processing, particularly in synthetic aperture radar (SAR) imaging, where he applies advanced computational methods to enhance radar-based imaging systems. Prof. Baek has substantial experience in developing sliding-mode control algorithms, which have been successfully applied to robot manipulators and autonomous systems. Additionally, he has strong analytical skills in mathematical modeling and simulation, utilizing platforms like MATLAB and Simulink for system analysis and control design. His expertise in artificial intelligence and machine learning enables him to optimize control algorithms for enhanced automation. With a strong publication record in high-impact journals, Prof. Baek demonstrates his ability to conduct cutting-edge research and contribute to advancements in his field. His diverse skill set positions him as a leading researcher in robotics and control engineering.

Awards and Honors

Throughout his career, Prof. Jaemin Baek has received several awards and honors in recognition of his contributions to control engineering and robotics. His research on adaptive control, robot manipulator systems, and SAR imaging has earned him accolades from both academic and industry circles. He has been recognized for his high-impact journal publications in IEEE Transactions, Applied Sciences, and other top-tier journals, demonstrating his excellence in research. His contributions to sliding-mode control and time-delayed control methodologies have been widely cited, highlighting their significance in the field. In addition to his academic achievements, he has been invited to present at prestigious international conferences, where he has shared insights into advanced control strategies and robotics applications. His work at the Agency for Defense Development (ADD) also earned him commendations for his contributions to national defense research projects. As an influential figure in robotics and control engineering, Prof. Baek continues to receive recognition for his innovative research, solidifying his reputation as a leading expert in the field. His awards and honors underscore his commitment to advancing technology and engineering excellence.

Conclusion

Prof. Jaemin Baek is a highly accomplished researcher and educator whose contributions to robotics, control engineering, and mechatronics have significantly impacted the field. With a solid academic foundation from Korea University and POSTECH, he has built a career dedicated to advancing adaptive control systems, time-delayed control strategies, and robotic manipulation. His professional experience spans both academia and defense research, demonstrating his ability to apply theoretical innovations to practical applications. His research interests in robotics, artificial intelligence, and SAR imaging have led to groundbreaking developments in control methodologies. His extensive publication record and numerous accolades highlight his influence and expertise. As an Associate Professor at Gangneung-Wonju National University, he continues to mentor students, conduct pioneering research, and contribute to the scientific community. His diverse skill set and interdisciplinary approach make him a driving force in robotics and automation. Prof. Baek’s ongoing work promises to shape the future of intelligent control systems and robotics, ensuring continued advancements in engineering and technology. His dedication to innovation and excellence establishes him as a leading figure in his field, inspiring the next generation of researchers and engineers.

Publications Top Notes

  1. Compressive Sensing-Based Omega-K Algorithm for SAR Focusing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2025

  2. “Effective Denoising of InSAR Phase Images via Compressive Sensing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2024
    • Citations: 1

  3. “Dynamic Model Learning and Control of Robot Manipulator Based on Multi-layer Perceptron Neural Network”

    • Authors: S. Shin (Seungcheon), M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2023

 

 

Chuan-Pei Lee | Chemical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chuan-Pei Lee | Chemical Engineering | Best Researcher Award

Associate Professor at Department of Applied Physics and Chemistry/University of Taipei, Taiwan

Professor Chuan-Pei Lee is an esteemed researcher in the fields of nanomaterials, solar energy, and electrochemical applications. Currently serving as an Associate Professor in the Department of Applied Physics and Chemistry at the University of Taipei, he has made significant contributions to renewable energy research. With a Ph.D. in Chemical Engineering from National Taiwan University, his expertise spans photocatalysis, energy storage devices, and water-splitting technologies. Prof. Lee has authored 117 SCI papers and 13 book chapters, earning a Google Scholar citation count of 5,537 with an H-index of 44. His research has been published in high-impact journals such as ACS Omega, Nano Energy, and J. Mater. Chem. A. Additionally, he has collaborated with international researchers and contributed to advancing sustainable energy solutions. His dedication to interdisciplinary research and scientific advancements makes him a prominent figure in his field.

Professional Profile

Education

Prof. Chuan-Pei Lee received his Ph.D. in Chemical Engineering from National Taiwan University in 2012, where he specialized in nanomaterials and energy conversion systems. His doctoral research focused on the synthesis and application of functional materials for energy devices, including dye-sensitized solar cells and electrocatalysts. Prior to his Ph.D., he completed his Master’s and Bachelor’s degrees in related fields, building a strong foundation in applied chemistry and physics. To further his expertise, he pursued postdoctoral research at the University of California, Berkeley, where he worked on 2D-layered transition metal dichalcogenides for electrochemical energy applications. His academic journey has been marked by a commitment to advancing energy-efficient technologies and exploring innovative nanostructured materials.

Professional Experience

Prof. Chuan-Pei Lee has held multiple academic and research positions that reflect his dedication to scientific innovation. Since joining the University of Taipei as an Associate Professor, he has led various research initiatives focusing on energy storage, nanomaterial synthesis, and catalysis. Prior to his current role, he conducted postdoctoral research at the University of California, Berkeley, where he explored the properties of 2D materials for energy applications. Over the years, he has collaborated with leading institutions and research groups, contributing to breakthrough studies in sustainable energy and nanotechnology. His work extends beyond academia, involving participation in industrial research projects and government-funded studies aimed at developing next-generation energy solutions.

Research Interests

Prof. Lee’s research interests revolve around renewable energy and nanotechnology. His work primarily focuses on the synthesis and application of nanomaterials for energy storage and conversion, including supercapacitors, photocatalytic CO₂ reduction, and dye-sensitized solar cells. He is particularly interested in exploring novel electrocatalysts for hydrogen evolution and oxygen reduction reactions, aiming to improve the efficiency of energy conversion devices. His studies on carbon-based materials, metal oxides, and transition metal dichalcogenides contribute to advancements in sustainable and efficient energy technologies. By integrating electrochemical techniques, he seeks to develop cost-effective and environmentally friendly energy solutions.

Research Skills

Prof. Lee possesses extensive expertise in nanomaterials synthesis, electrochemical analysis, and energy device fabrication. He is proficient in advanced characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) for material analysis. His experience includes the development of thin-film electrodes, nanostructured catalysts, and hybrid composite materials for solar energy applications. Additionally, he specializes in electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) to evaluate the performance of energy storage systems. His ability to integrate materials science with electrochemical engineering makes him a versatile researcher in the field of applied physics and chemistry.

Awards and Honors

Prof. Chuan-Pei Lee has received several awards and recognitions for his outstanding contributions to research. His high-impact publications and innovative work in nanotechnology have earned him accolades from prestigious institutions and scientific societies. He has been recognized for his contributions to sustainable energy research and has received grants for his pioneering studies on nanostructured materials. His role as a corresponding author in multiple high-impact journals highlights his influence in the field. Additionally, he has been invited to present his research at international conferences and symposiums, further solidifying his reputation as a leading expert in applied physics and chemistry.

Conclusion

Prof. Chuan-Pei Lee is a highly accomplished researcher with a strong academic background, significant research contributions, and extensive expertise in nanomaterials and energy applications. His work in sustainable energy technologies, coupled with his proficiency in electrochemical techniques, has positioned him as a leader in his field. With a remarkable publication record and international collaborations, he continues to drive advancements in energy storage and conversion. His dedication to scientific discovery and innovation makes him a deserving candidate for prestigious research awards. Moving forward, his contributions to renewable energy solutions will play a crucial role in shaping the future of clean energy technologies.

Publications Top Notes

  1. Title: Use of organic materials in dye-sensitized solar cells
    Authors: CP Lee, CT Li, KC Ho
    Year: 2017
    Citations: 342

  2. Title: Recent progress in organic sensitizers for dye-sensitized solar cells
    Authors: CP Lee, RYY Lin, LY Lin, CT Li, TC Chu, SS Sun, JT Lin, KC Ho
    Year: 2015
    Citations: 270

  3. Title: Organic dyes containing carbazole as donor and π-linker: optical, electrochemical, and photovoltaic properties
    Authors: A Venkateswararao, KRJ Thomas, CP Lee, CT Li, KC Ho
    Year: 2014
    Citations: 200

  4. Title: A paper-based electrode using a graphene dot/PEDOT: PSS composite for flexible solar cells
    Authors: CP Lee, KY Lai, CA Lin, CT Li, KC Ho, CI Wu, SP Lau, JH He
    Year: 2017
    Citations: 163

  5. Title: Conducting polymer-based counter electrode for a quantum-dot-sensitized solar cell (QDSSC) with a polysulfide electrolyte
    Authors: MH Yeh, CP Lee, CY Chou, LY Lin, HY Wei, CW Chu, R Vittal, KC Ho
    Year: 2011
    Citations: 142

  6. Title: Iodine-free high efficient quasi solid-state dye-sensitized solar cell containing ionic liquid and polyaniline-loaded carbon black
    Authors: CP Lee, PY Chen, R Vittal, KC Ho
    Year: 2010
    Citations: 135

  7. Title: Unsymmetrical squaraines incorporating the thiophene unit for panchromatic dye-sensitized solar cells
    Authors: JY Li, CY Chen, CP Lee, SC Chen, TH Lin, HH Tsai, KC Ho, CG Wu
    Year: 2010
    Citations: 109

  8. Title: 2,7-Diaminofluorene-based organic dyes for dye-sensitized solar cells: effect of auxiliary donor on optical and electrochemical properties
    Authors: A Baheti, P Singh, CP Lee, KRJ Thomas, KC Ho
    Year: 2011
    Citations: 108

  9. Title: Beaded stream-like CoSe₂ nanoneedle array for efficient hydrogen evolution electrocatalysis
    Authors: CP Lee, WF Chen, T Billo, YG Lin, FY Fu, S Samireddi, CH Lee, …
    Year: 2016
    Citations: 98

  10. Title: Fluorene-based sensitizers with a phenothiazine donor: effect of mode of donor tethering on the performance of dye-sensitized solar cells
    Authors: A Baheti, KR Justin Thomas, CT Li, CP Lee, KC Ho
    Year: 2015
    Citations: 95

Yang Xiang | Structural Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yang Xiang | Structural Engineering | Best Researcher Award

Vice Director of Tongji-CSCEC-Lanke Collaborating Research Center for Metallic Damper Technologies, Tongji University, China

Dr. Yang Xiang is an Associate Professor at Tongji University, specializing in the aseismic design of building structures. His research focuses on seismic response analysis, performance evaluation, and resilience enhancement techniques. With a Doctor of Engineering degree from Tongji University, he has extensive academic and research experience, having worked at Tokyo Institute of Technology and Kyoto University. His contributions to structural engineering and earthquake-resistant design have been recognized through prestigious national awards and editorial roles in leading journals. Dr. Xiang has also secured significant research funding and played a key role in national and international research projects. His expertise and dedication to advancing structural safety make him a prominent figure in his field.

Professional Profile

Education

Dr. Yang Xiang has a strong academic background in structural and civil engineering. He earned his Doctor of Engineering degree from Tongji University in 2018, focusing on earthquake-resistant building structures. Prior to this, he completed his Master’s degree in Structural Engineering from the same university in 2012. His undergraduate studies in Civil Engineering were conducted at Taiyuan University of Technology, where he built a strong foundation in engineering principles. His academic journey has been centered on understanding, analyzing, and designing structures to withstand seismic events. Through his studies at top engineering institutions, Dr. Xiang has developed expertise in both theoretical research and practical applications of seismic resilience in construction.

Professional Experience

Dr. Xiang has held key research and academic positions at renowned institutions in China and Japan. From 2018 to 2020, he was a JSPS Research Fellow at Kyoto University, conducting advanced research on structural resilience. He then joined Tokyo Institute of Technology as a Postdoctoral Research Fellow in 2020, later serving as an Assistant Professor in 2021. His tenure in Japan allowed him to collaborate on cutting-edge earthquake engineering research. In 2021, he returned to Tongji University as an Associate Professor, where he continues to advance his research in seismic safety and building performance evaluation. His international academic experience has enhanced his research vision and contributed to significant developments in the field.

Research Interests

Dr. Xiang’s research focuses on aseismic building structures, particularly in response analysis, performance-based design, and structural resilience. He is dedicated to improving seismic safety through innovative design methods that enhance building performance and earthquake resistance. His studies integrate computational simulations, experimental validation, and engineering applications to develop more efficient and robust structural solutions. His research contributes to mitigating earthquake damage and enhancing the durability of buildings in seismic-prone regions. Through interdisciplinary approaches, he aims to bridge the gap between theoretical models and practical construction techniques, ensuring safer and more sustainable urban infrastructures.

Research Skills

Dr. Xiang possesses advanced research skills in structural engineering and seismic analysis. He is proficient in numerical modeling, experimental testing, and performance evaluation of earthquake-resistant buildings. His expertise includes finite element analysis (FEA), structural dynamics, and resilience assessment techniques. He is skilled in using engineering software for structural simulation and seismic analysis, contributing to the development of innovative design strategies. His ability to secure research funding and lead collaborative projects highlights his strong project management and leadership skills. Additionally, his experience in academic publishing and editorial work further strengthens his research capabilities.

Awards and Honors

Dr. Xiang has received multiple prestigious awards recognizing his contributions to structural engineering research. He was awarded the First Prize in Science and Technology by the China Steel Construction Society in 2024, demonstrating his impact in the field. He also received the Special Prize for Science and Technology from the same organization in 2022. Additionally, he was honored with the Second Prize for Research from the Shanghai J.Z. Huang Education Development Foundation in 2023. These accolades reflect his significant contributions to earthquake-resistant building design and structural performance evaluation, establishing him as a leading researcher in his domain.

Conclusion

Dr. Yang Xiang is a distinguished researcher in structural and earthquake engineering, with a strong academic background, international research experience, and significant contributions to seismic safety. His work in performance evaluation and resilience improvement has earned him prestigious awards, major research funding, and recognition from leading academic institutions. With expertise in numerical modeling, experimental testing, and advanced engineering analysis, he continues to push the boundaries of earthquake-resistant design. His editorial roles, research leadership, and commitment to enhancing structural safety position him as a highly qualified candidate for the Best Researcher Award.

Publications Top Notes

  1. Title: Amplitude-dependent modal viscous damping for distributed stick–slip systems

    • Authors: C. He, Chong; F. Sun, Feifei; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024

  2. Title: Quantification of floor seismic response: Formulated PFA for non-classically damped structure and empirical PFV for elasto-plastic structure

    • Authors: S. Guo, Shili; Y. Xiang, Yang; L. Dai, Liusi; G. Li, Guoqiang
    • Year: 2024

  3. Title: Strain amplitude-dependent hardening property of Q235 steel for metallic dampers

    • Authors: Y. Zhong, Yunlong; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024
    • Citations: 2

  4. Title: Multi-objective seismic optimization and evaluation of core-damper-frame tall buildings considering SSI effect

    • Authors: M. Wang, Meng; Y. Xiang, Yang; F. Sun, Feifei; G. Li, Guoqiang
    • Year: 2024
    • Citations: 3

  5. Title: Seismic performance assessment of GFRP-steel double-skin confined rubber concrete composite columns

    • Authors: J. Yan, Jianhuang; J. Wu, Junchao; Y. Xiang, Yang; X. Han, Xue; H. Li, Haifeng
    • Year: 2024
    • Citations: 4

 

Yuxin Ma | Engineering | Best Researcher Award

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Mr. Yuxin Ma | Engineering | Best Researcher Award

Master Degree Candidate at Shanghai Dianji University, China

Ma Yuxin is an emerging researcher in Electrical Engineering, currently pursuing a Master’s degree at Shanghai Dianji University. With a strong academic background and research focus on Permanent Magnet Synchronous Motor (PMSM) control, Ma has already contributed three research papers to international conferences and journals. Recognized for academic excellence, innovation, and technical proficiency, Ma has received multiple scholarships and awards, including the Shanghai “Science and Technology Star of Tomorrow” Creative Award. Alongside research, Ma has practical experience through an internship at Shanghai Electric Fuji Electric Power Technology Co., Ltd., where they are engaged in PMSM sensorless full-speed control projects. Proficient in MATLAB, AD, PSIM, and Keil, Ma has also earned a Siemens NX CAD Engineer Intermediate Qualification. These achievements reflect a commitment to advancing electrical engineering technologies through both theoretical and practical applications.

Professional Profile

Education

Ma Yuxin completed a Bachelor’s degree in Electrical Engineering from Shanghai Dianji University (2018-2022) with outstanding academic performance, earning multiple university scholarships. Currently, Ma is pursuing a Master’s degree in Electrical Engineering at the same institution (2023-present). During undergraduate studies, Ma actively participated in innovation and entrepreneurship projects, winning recognition for contributions to scientific research. The master’s research focuses on PMSM speed control, leading to three published papers in reputable journals and conferences. Academic achievements also include certification as a Siemens NX CAD Engineer and recognition in the Challenge Cup Shanghai University Science and Technology Competition. These educational experiences have provided a strong foundation in theoretical knowledge, research methodologies, and practical applications, preparing Ma for further advancements in electrical engineering research and development.

Professional Experience

Ma Yuxin is currently working as a Technical Research and Development Engineer at Shanghai Electric Fuji Electric Power Technology Co., Ltd. (2024-2025). This role involves conducting research and development on PMSM sensorless full-speed control projects and software testing experiments. During this position, Ma has gained hands-on experience in electrical system simulation, motor control optimization, and embedded system programming. Additionally, Ma’s university years included participation in competitive engineering projects and industry-relevant training programs, reinforcing both practical and theoretical expertise. This experience, combined with academic research, enables Ma to bridge the gap between academia and industry by applying research insights to real-world engineering challenges. The combination of research and industry exposure highlights Ma’s capability to innovate within electrical engineering and contribute to advancements in motor control technologies.

Research Interests

Ma Yuxin’s primary research interests lie in Permanent Magnet Synchronous Motor (PMSM) speed control, with a focus on sensorless full-speed control optimization. Other areas of interest include power electronics, motor drive systems, embedded control systems, and intelligent motor control using AI-based algorithms. Ma is also keen on exploring advanced control strategies for electric vehicles (EVs), renewable energy applications, and industrial automation. The integration of machine learning with motor control to enhance efficiency, reliability, and fault diagnosis is another potential research direction. By combining theoretical knowledge with experimental validation, Ma aims to contribute to the development of more efficient, robust, and cost-effective electrical motor control systems. These interests align with emerging trends in smart grid technologies, automation, and energy-efficient electrical systems, positioning Ma as a promising researcher in modern electrical engineering applications.

Research Skills

Ma Yuxin possesses strong research skills in electrical system modeling, simulation, and motor control algorithm development. Proficient in using MATLAB, PSIM, AD, and Keil for electrical simulations and control system design, Ma also has experience with embedded programming and software testing. Expertise extends to hardware implementation and real-time testing of PMSM control systems, ensuring research findings are practically applicable. Additionally, Ma is skilled in scientific writing and publishing, having successfully authored and published three research papers in reputable journals and conferences. Knowledge of data analysis, experimental design, and optimization techniques further strengthens Ma’s ability to conduct impactful research. These research skills, coupled with technical proficiency, provide a solid foundation for continued contributions to the field of electrical engineering and motor control technology.

Awards and Honors

Ma Yuxin has received numerous awards and honors for academic excellence, innovation, and research contributions. During undergraduate studies, Ma was recognized as an Outstanding Graduate of Shanghai and awarded multiple university scholarships for both academic performance and practical achievements. Additionally, Ma won the Creative Award in the 18th Shanghai “Science and Technology Star of Tomorrow” selection activity, highlighting innovation in scientific research. Another significant achievement includes securing second prize in the 17th “Challenge Cup” Shanghai University Science and Technology Competition, showcasing strong problem-solving and research capabilities. Further honors include the Siemens NX CAD Engineer Intermediate Qualification Certificate, demonstrating technical expertise. These achievements reflect Ma’s commitment to excellence in research, technical skill development, and innovative problem-solving, reinforcing their suitability for prestigious research awards.

Conclusion

Ma Yuxin is a promising researcher in electrical engineering, demonstrating strong academic performance, research productivity, and technical expertise. With three research papers published, awards in innovation competitions, and hands-on experience in PMSM control projects, Ma has a solid foundation for continued contributions to the field. However, further research in high-impact journals, international collaborations, and patent applications would strengthen the case for prestigious research awards. Participation in conferences, industrial projects, and interdisciplinary research could also enhance visibility in the academic community. Given Ma’s current trajectory, continued growth in these areas will position them as a leading researcher in electrical motor control and automation technologies.

Publications Top Notes

  1. Publication: Speed Control of PMSM Based on Series Lead Correction Doubly Fed Differential LADRC

    • Authors: Yuxin Ma
    • Year: 2025

  2. Publication: Research on PMSM Speed Control Based on Improved Super-Twisting Sliding Mode Active Disturbance Rejection Control

    • Authors: Yuxin Ma, Ziqi Lei, Pingping Gu, Xinpeng Feng, Wei Zhang, Chaohui Zhao
    • Year: 2024

 

Ali Nawaz Sanjrani | Engineering | Best Researcher Award

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Assist. Prof. Dr Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Assistant Professor at University of Electronic Science and Technology of China

Dr. Ali Nawaz Sanjrani is a highly accomplished mechanical engineer and academic with over 18 years of interdisciplinary experience in project management, reliability, quality assurance, and health and safety systems. He holds a PhD in Mechanical Engineering from the University of Electronics Science and Technology, China, and specializes in reliability monitoring, diagnostics, and prognostics of complex machinery. Dr. Sanjrani has a strong background in advanced manufacturing processes, lean manufacturing, and machine learning applications in engineering systems. He has served as an Assistant Professor at Mehran University of Engineering and Technology and has contributed significantly to both academia and industry. His research focuses on fluid dynamics, heat transfer, and predictive maintenance using AI-driven models. Dr. Sanjrani has published extensively in high-impact journals and conferences, earning recognition for his innovative approaches to engineering challenges. He is a certified lead auditor in ISO and OHSAS standards and a member of the Pakistan Engineering Council.

Professional Profile

Education

Dr. Ali Nawaz Sanjrani earned his PhD in Mechanical Engineering from the University of Electronics Science and Technology, Chengdu, China, with a CGPA of 3.89/4. His doctoral research focused on reliability monitoring, diagnostics, and prognostics of complex machinery. He completed his M.Engg. in Industrial Manufacturing from NED University, Karachi, with a CGPA of 3.04/4, specializing in lean manufacturing. His undergraduate degree in Mechanical Engineering was obtained from QUEST, Nawabshah, with an aggregate of 70%, specializing in mechanical manufacturing and materials. Throughout his academic journey, Dr. Sanjrani studied advanced courses such as Finite Element Analysis (FEA), Computer-Aided Manufacturing (CAM), Operations Research (OR), and Agile & Lean Manufacturing. His education has equipped him with a strong foundation in both theoretical and practical aspects of mechanical and industrial engineering, enabling him to excel in research, teaching, and industry applications.

Professional Experience 

Dr. Ali Nawaz Sanjrani has over 18 years of professional experience spanning academia, research, and industry. He served as an Assistant Professor at Mehran University of Engineering and Technology, SZAB Campus, from 2016 to 2020, where he specialized in fluid dynamics, heat transfer, and machine learning applications. Prior to this, he worked as a Lecturer at the same institution and as a visiting faculty member at INDUS University, Karachi. In the industry, Dr. Sanjrani was an Engineer in Quality Assurance and Quality Control at DESCON Engineering Works Limited, Lahore, from 2006 to 2011. His roles included implementing ISO standards, conducting audits, and ensuring quality and safety compliance. Dr. Sanjrani has also led research projects in predictive maintenance, reliability engineering, and lean manufacturing, bridging the gap between academic theory and industrial practice. His expertise in project management and integrated management systems has made him a valuable asset in both academic and professional settings.

Awards and Honors

Dr. Ali Nawaz Sanjrani has received numerous accolades for his academic and professional excellence. He was awarded the 3rd Prize in Academic Excellence and Performance Excellence at the University of Electronics Science and Technology, Chengdu, China, in 2024. He secured a fully funded Chinese Government Scholarship (CSC) for his PhD studies in 2020. Dr. Sanjrani was also recognized with an Appreciation Certificate from Karachi Shipyard & Engineering Works for achieving ISO certifications (QMS, EMS, OH&SMS) in 2011. His innovative approach to dismantling a luffing crane earned him an Appreciation Letter from the Managing Director of KSEW in 2013. Additionally, Dr. Sanjrani has been acknowledged for his research contributions through publications in high-impact journals and presentations at international conferences. His achievements reflect his dedication to advancing engineering knowledge and applying it to real-world challenges.

Research Interests

Dr. Ali Nawaz Sanjrani’s research interests lie at the intersection of mechanical engineering, machine learning, and reliability engineering. He specializes in predictive maintenance, diagnostics, and prognostics of complex machinery, particularly in high-speed trains and industrial systems. His work focuses on developing AI-driven models, such as LSTM networks and neural networks, for fault diagnosis and residual life prediction. Dr. Sanjrani is also deeply involved in fluid dynamics, heat transfer, and energy systems, exploring advanced manufacturing processes and lean manufacturing techniques. His research extends to renewable energy systems, including solar power and biogas utilization, as well as dynamic power management in microgrids. By integrating machine learning with traditional engineering practices, Dr. Sanjrani aims to enhance system reliability, efficiency, and sustainability. His interdisciplinary approach bridges the gap between theoretical research and practical applications, making significant contributions to both academia and industry.

Research Skills

  • Machine Learning & AI: Neural Networks, LSTM, Predictive Modeling, Fault Diagnosis.
  • Reliability Engineering: Prognostics, Diagnostics, Residual Life Prediction.
  • Fluid Dynamics & Heat Transfer: Modeling, Simulation, and Analysis.
  • Advanced Manufacturing: Lean Manufacturing, FEA, CAM, Agile Processes.
  • Renewable Energy Systems: Solar Power, Biogas, Microgrids.
  • Software Proficiency: Python, MATLAB, SolidWorks, Auto CAD, FEA Tools.
  • Certifications: ISO 9001, ISO 14001, OHSAS 18001 Lead Auditor.

Conclusion

Dr. Ali Nawaz Sanjrani is a distinguished mechanical engineer and academic with a proven track record in research, teaching, and industry. His expertise in reliability engineering, machine learning, and advanced manufacturing has led to significant contributions in predictive maintenance and system optimization. With numerous publications, awards, and certifications, Dr. Sanjrani continues to push the boundaries of engineering knowledge, applying innovative solutions to real-world challenges. His interdisciplinary approach and dedication to excellence make him a valuable asset in both academic and professional settings.

Publication Top Notes

  1. Ali Nawaz1 – RHSA Based Hybrid Prognostic Model for Predicting Residual Life of Bearing: A Novel Approach – Mechanical Systems and Signal Processing – To be published.
  2. Ali Nawaz1 – Multiparametric Dual Task Multioutput Artificial Neural Network Model for Bearing Fault Diagnosis and Residual Life Prediction in High-Speed Trains – IEEE Transaction of Reliability – To be published.
  3. Ali Nawaz1 – Advanced Learning Interferential ALI-Former: A Novel Approach for Live and Reliable High-Speed Train Bearing Fault Diagnosis – Neural Computing and Applications – To be published.
  4. Ali Nawaz Sanjrani1 – High-Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual-Task LSTM With Attention Mechanism – Quality and Reliability Engineering International Journal WILEY – 2025.
  5. Ali Nawaz Sanjrani3 – Dynamic Temporal LSTM-Seqtrans for Long Sequence: An Approach for Credit Card and Banking Accounts Fraud Detection in Banking System – 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing – 2025.
  6. Ali Nawaz Sanjrani1 – High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment – Results in Engineering – 2025.
  7. Ali Nawaz Sanjrani5 – Advanced dynamic power management using model predictive control in DC microgrids with hybrid storage and renewable energy sources – Journal of Energy Storage – 2025.
  8. Ali Nawaz Sanjrani1 – High-Speed Train Health Assessment Based on Degradation Stages and Fault Classification by using Dual Task LSTM with Attention Mechanism – 2024 6th International Conference on System Reliability and Safety Engineering – 2024.
  9. A.N. Sanjrani – A C-band Sheet Beam Staggered Double Grating Extended Interaction Oscillator – 2024 IEEE International Conference on Plasma Science (ICOPS) – 2024.
  10. Ali Nawaz1 – Bearing Health and Safety Analysis to improve the reliability and efficiency of Horizontal Axis Wind Turbine (HAWT) – ESREL 2023 – 2023.
  11. Ali Nawaz2 – Prediction of Remaining Useful Life of Bearings using a Parallel Neural Network – ESREL 2023 – 2023.
  12. Ali Nawaz Sanjrani2 – Performance Improvement through Lean System Case study of Karachi Shipyard & Engineering Works – IEIM 2024 – 2023.
  13. Ali Nawaz Sanjrani3 – Dynamic Performance of Partially Orifice Porous Aerostatic Thrust Bearing – Micromachines – 2021.
  14. Sanjrani; Ali Nawaz2 – Performance Evaluation of Mono Crystalline Silicon Solar Panels in Khairpur, Sind, Pakistan – JOJ Material Science – 2017.
  15. A. N. Sanjrani1 – Utilization of Biogas using Portable Biogas Anaerobic Digester in Shikarpur and Sukkur Districts: A case study – Pakistan Journal of Agriculture Engineering Veterinary Science – 2017.
  16. A. N. Sanjrani1 – Lean Manufacturing for Minimization of Defects in the Fabrication Process of Shipbuilding: A case study – Australian Journal of Engineering and Technology Research – 2017.

 

Pei Zhang | Engineering | Best Researcher Award

Published on by World Science Awards

Dr. Pei Zhang | Engineering | Best Researcher Award

Nanjing Institute of Technology, China

Pei Zhang is a researcher affiliated with the Nanjing Institute of Technology, contributing to advancements in science and technology. With a strong academic background and research expertise, Pei Zhang has been involved in multiple research projects, demonstrating a commitment to innovation and excellence. The research contributions span various domains, including published journal articles, patents, and industry collaborations. Pei Zhang’s work has been recognized in scientific communities through citations in indexed journals, participation in editorial boards, and membership in professional organizations. The research focuses on addressing real-world challenges through innovative solutions, making a significant impact on both academia and industry.

Professional Profile

Education

Pei Zhang holds an advanced degree from a reputable institution, equipping them with the necessary knowledge and skills for high-level research. The academic journey includes undergraduate and postgraduate studies in a relevant field, providing a strong foundation for scientific exploration. The education background has played a crucial role in shaping Pei Zhang’s expertise and research focus, allowing for specialization in key areas of study. The rigorous academic training has also contributed to the ability to conduct high-quality research, publish in esteemed journals, and collaborate with professionals across various disciplines.

Professional Experience

Pei Zhang has accumulated extensive experience through various roles in academic and research institutions. Working at the Nanjing Institute of Technology has provided opportunities to lead and contribute to significant research projects. The professional journey includes participation in multidisciplinary teams, collaboration with industry experts, and involvement in cutting-edge research initiatives. Experience in grant applications, project management, and academic publishing has further strengthened Pei Zhang’s professional standing. In addition, contributions to academia include mentoring students, peer reviewing scientific articles, and engaging in knowledge dissemination through conferences and workshops.

Research Interest

Pei Zhang’s research interests lie in the intersection of technology and scientific innovation, addressing pressing challenges in the field. Areas of focus include applied sciences, material science, engineering, and emerging technologies. The research aims to develop sustainable and effective solutions with real-world applications. Pei Zhang is particularly interested in interdisciplinary collaborations that bridge gaps between theoretical research and practical implementation. The work emphasizes innovation, problem-solving, and the development of new methodologies to enhance efficiency and effectiveness in various industries.

Research Skills

Pei Zhang possesses a diverse set of research skills, essential for conducting high-quality scientific investigations. Expertise includes experimental design, data analysis, scientific writing, and the use of advanced research methodologies. Proficiency in statistical tools, software applications, and laboratory techniques enables effective research execution. Strong analytical and critical thinking abilities aid in problem-solving and hypothesis testing. Additionally, skills in academic publishing, peer reviewing, and grant writing contribute to professional growth and research impact. Pei Zhang’s adaptability and continuous learning mindset ensure staying updated with the latest advancements in the field.

Awards and Honors

Pei Zhang has received recognition for contributions to research and innovation, earning awards and honors from academic institutions and professional organizations. These accolades highlight the impact of research achievements, reinforcing credibility and expertise in the field. Awards may include best researcher distinctions, conference recognitions, or institutional honors for outstanding contributions. Recognition from scientific communities further validates Pei Zhang’s commitment to advancing knowledge and technology. Such achievements reflect the dedication to excellence and the pursuit of groundbreaking discoveries in the research domain.

Conclusion

Pei Zhang is a dedicated researcher with a strong academic background, extensive professional experience, and impactful research contributions. Expertise in advanced methodologies, interdisciplinary collaborations, and academic publishing establishes Pei Zhang as a valuable contributor to the scientific community. The combination of research excellence, industry engagement, and academic mentorship enhances the overall impact of the work. Recognized for achievements and contributions, Pei Zhang continues to advance knowledge in the field, demonstrating a commitment to innovation and scientific discovery. With continued efforts in research, industry collaboration, and academic mentorship, Pei Zhang’s influence in the scientific community is set to grow further.

Mahmoud Ghazavi | Engineering | Scientific Excellence Achievement Award

Published on by World Science Awards

Prof. Mahmoud Ghazavi | Engineering | Scientific Excellence Achievement Award

Geotechnical Engineering at K N Toosi University of Technology, 

Professor Mahmoud Ghazavi is a distinguished figure in geotechnical engineering, currently serving as a faculty member at the Faculty of Civil Engineering, K. N. Toosi University of Technology in Tehran, Iran. With a career spanning several decades, he has made significant contributions to both academia and industry. His research interests encompass a wide range of topics within geotechnical engineering, including soil mechanics, foundation engineering, and soil reinforcement techniques. Professor Ghazavi’s dedication to advancing the field is evident through his extensive publication record and his active involvement in supervising graduate students. His work has not only enriched academic literature but has also provided practical solutions to complex engineering challenges.

Professional Profile

Education

Professor Ghazavi’s academic journey began with a Bachelor of Science (BSc) and Master of Science (MSc) in Civil Engineering from the University of Tehran, completed in 1987. He furthered his education by obtaining a Ph.D. in Geotechnical Engineering from the University of Queensland, St Lucia, Brisbane, Australia, in July 1997. His doctoral research focused on the “Static and Dynamic Analysis of Piled Foundations,” laying the groundwork for his future endeavors in foundation engineering and soil dynamics. This solid educational foundation has been instrumental in shaping his research trajectory and teaching philosophy.

Professional Experience

Professor Ghazavi’s professional career is marked by progressive academic appointments. He began as an Assistant Professor in Geotechnical Engineering at Isfahan University of Technology from 1997 to 2002. He then joined K. N. Toosi University of Technology, where he served as an Assistant Professor from 2002 to 2005, Associate Professor from 2005 to 2013, and has been a full Professor since 2013. In addition to his teaching roles, he has held various administrative positions, including Deputy for Research and Coordinator of Postgraduate Studies, contributing to the academic and administrative growth of the institutions he has been affiliated with.

Research Interests

Professor Ghazavi’s research interests are diverse and encompass several critical areas within geotechnical engineering. He has extensively explored soil reinforcement techniques, particularly the use of waste materials such as tire shreds to enhance soil properties. His work on the behavior of shallow and deep foundations under static and dynamic loading conditions has provided valuable insights into foundation design. Additionally, he has investigated the stability of slopes reinforced with stone columns and the application of probabilistic analyses in geomechanics. His commitment to addressing contemporary engineering challenges is evident through his innovative research projects and collaborations.

Research Skills

Throughout his career, Professor Ghazavi has honed a comprehensive set of research skills. He is proficient in both experimental and numerical modeling techniques, enabling him to analyze complex geotechnical problems effectively. His expertise in soil mechanics and foundation engineering is complemented by his ability to apply probabilistic and statistical methods to assess geotechnical uncertainties. Moreover, his experience in supervising over 120 MSc and 20 Ph.D. students has refined his mentorship abilities, fostering a collaborative research environment. His active participation in editorial boards and peer-review processes further underscores his critical evaluation skills and commitment to academic excellence.

Awards and Honors

Professor Ghazavi’s contributions have been recognized through various accolades. Notably, he has been ranked among the world’s top 2% of scientists from 2020 to 2023, a testament to his impactful research and scholarly influence. His role as Chief Editor of the Journal of Experimental Research in Civil Engineering and membership on several editorial boards highlight his standing in the academic community. These honors reflect his dedication to advancing geotechnical engineering and his influence as a thought leader in the field.

Conclusion

In summary, Professor Mahmoud Ghazavi’s illustrious career is characterized by a harmonious blend of teaching, research, and professional service. His unwavering commitment to geotechnical engineering has led to significant advancements in both theoretical understanding and practical applications. Through his mentorship, he has shaped the careers of numerous engineers and researchers, ensuring the continued growth and evolution of the field. Professor Ghazavi’s work stands as a testament to the profound impact that dedicated educators and researchers can have on society and the engineering profession.

Publication Top Notes

  • “The influence of freeze–thaw cycles on the unconfined compressive strength of fiber-reinforced clay”

    • Authors: M. Ghazavi, M. Roustaie
    • Year: 2010
    • Citations: 293

  • “Bearing capacity of geosynthetic encased stone columns”

    • Authors: M. Ghazavi, J.N. Afshar
    • Year: 2013
    • Citations: 287

  • “Interference effect of shallow foundations constructed on sand reinforced with geosynthetics”

    • Authors: M. Ghazavi, A.A. Lavasan
    • Year: 2008
    • Citations: 225

  • “Influence of optimized tire shreds on shear strength parameters of sand”

    • Authors: M. Ghazavi, M.A. Sakhi
    • Year: 2005
    • Citations: 214

  • “Shear strength characteristics of sand-mixed with granular rubber”

    • Authors: M. Ghazavi
    • Year: 2004
    • Citations: 199

  • “Numerical study on stability analysis of geocell reinforced slopes by considering the bending effect”

    • Authors: I. Mehdipour, M. Ghazavi, R.Z. Moayed
    • Year: 2013
    • Citations: 159

  • “Behavior of closely spaced square and circular footings on reinforced sand”

    • Authors: A.A. Lavasan, M. Ghazavi
    • Year: 2012
    • Citations: 134

  • “Effects of freeze–thaw cycles on a fiber reinforced fine grained soil in relation to geotechnical parameters”

    • Authors: M. Roustaei, A. Eslami, M. Ghazavi
    • Year: 2015
    • Citations: 123

  • “Freeze–thaw performance of clayey soil reinforced with geotextile layer”

    • Authors: M. Ghazavi, M. Roustaei
    • Year: 2013
    • Citations: 116

  • “Influence of nano-SiO2 on geotechnical properties of fine soils subjected to freeze-thaw cycles”

    • Authors: A. Kalhor, M. Ghazavi, M. Roustaei, S.M. Mirhosseini
    • Year: 2019
    • Citations: 103