Tag: Green Engineering Award

Kuo Liu | Engineering | Best Researcher Award

Published on by World Science Awards

Prof. Kuo Liu | Engineering | Best Researcher Award

Deputy director at Dalian University of Technology, China

Liu Kuo is a distinguished professor and doctoral supervisor at the School of Mechanical Engineering, Dalian University of Technology. He serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory and has been recognized as a young top talent in China’s “Ten Thousand People Plan.” He has also been honored under the Liaoning Province “Xingliao Talent Plan” and is regarded as a high-end talent in Dalian City. In addition to his academic and administrative roles, Liu Kuo holds significant positions in national standardization committees. He is a member of the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). Furthermore, he serves as a review expert for the Chinese Mechanical Engineering Society on “Machine Tool Equipment Manufacturing Maturity.” His expertise spans precision maintenance theory, real-time thermal error compensation, intelligent monitoring technology, and performance optimization for CNC machine tools. With extensive contributions to research, Liu Kuo has led over 20 major scientific projects and has published more than 80 high-impact papers. His work has resulted in numerous patents and software copyrights, reinforcing his status as a leading researcher in intelligent manufacturing and CNC technology.

Professional Profile

Education

Liu Kuo has pursued an extensive academic journey in mechanical engineering, culminating in his current role as a professor at Dalian University of Technology. He obtained his bachelor’s, master’s, and doctoral degrees in Mechanical Engineering from prestigious institutions in China. His academic training provided a strong foundation in advanced manufacturing, precision engineering, and intelligent monitoring systems. Throughout his education, Liu Kuo specialized in CNC machine tools, focusing on precision maintenance theory and real-time error compensation. His doctoral research was instrumental in developing innovative methodologies for optimizing machine tool performance. As a committed scholar, he actively engaged in interdisciplinary studies, integrating mechanical design, automation, and artificial intelligence into manufacturing processes. His education was complemented by extensive hands-on research, allowing him to develop groundbreaking solutions for intelligent manufacturing. Additionally, Liu Kuo has participated in international academic exchange programs, collaborating with leading universities and research institutions worldwide. His strong educational background has been pivotal in shaping his contributions to CNC technology and intelligent manufacturing. Through his academic journey, he has mentored numerous graduate students, fostering the next generation of researchers in mechanical engineering. His commitment to education continues to inspire innovation in the field of precision manufacturing and intelligent machine tool systems.

Professional Experience

Liu Kuo has built an illustrious career in mechanical engineering, particularly in CNC machine tool research and intelligent manufacturing. Currently a professor and doctoral supervisor at the School of Mechanical Engineering at Dalian University of Technology, he also serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory. His expertise has led him to significant roles in national standardization efforts, including membership in the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). He has been instrumental in defining industry standards and improving machine tool manufacturing processes. Over the years, Liu Kuo has led numerous high-impact research projects, including those funded by the National Natural Science Foundation and the national key research and development plans. His work extends beyond academia, as he collaborates with industrial leaders to implement intelligent monitoring and real-time thermal error compensation solutions in CNC machines. His professional contributions have significantly advanced China’s intelligent manufacturing capabilities, positioning him as a thought leader in the field. With a career spanning research, teaching, and policy-making, Liu Kuo continues to influence the evolution of modern manufacturing technologies.

Research Interests

Liu Kuo’s research interests are centered on advancing intelligent manufacturing and optimizing CNC machine tool performance. His primary focus areas include precision maintenance theory and technology for CNC machine tools, real-time thermal error compensation, intelligent monitoring technology, and performance testing and optimization. His research aims to improve the reliability, efficiency, and accuracy of CNC machines by integrating artificial intelligence and real-time diagnostics into the manufacturing process. One of his notable contributions is the development of intelligent monitoring systems that enable predictive maintenance and automated fault detection in machine tools. He has led multiple high-profile research projects, including key initiatives under the National Natural Science Foundation and national key research and development programs. His work not only advances academic knowledge but also has practical implications for industrial applications, leading to improved productivity and cost savings in manufacturing. Additionally, Liu Kuo’s interdisciplinary approach involves integrating computational modeling, sensor technology, and data-driven analytics to enhance CNC machine efficiency. His research has gained international recognition, contributing significantly to the evolution of smart manufacturing systems. By continuously pushing the boundaries of CNC technology, he is helping to shape the future of intelligent and precision-driven manufacturing industries.

Research Skills

Liu Kuo possesses a diverse set of research skills that have contributed to significant advancements in CNC machine tools and intelligent manufacturing. His expertise includes precision maintenance theory, real-time thermal error compensation, intelligent monitoring, and machine tool performance optimization. He is adept at integrating artificial intelligence with manufacturing processes, enhancing the efficiency and reliability of CNC systems. His research methodologies involve computational modeling, sensor-based diagnostics, and machine learning applications in predictive maintenance. Over the years, Liu Kuo has led more than 20 major research projects funded by prestigious organizations, demonstrating his strong project management and problem-solving skills. He has successfully authored over 80 SCI/EI-indexed papers and secured more than 50 Chinese invention patents, 8 American invention patents, and 15 software copyrights. His technical expertise extends to developing industry standards for CNC machine tools, collaborating with national committees, and formulating guidelines for intelligent manufacturing systems. With a strong foundation in mechanical engineering, automation, and data analytics, he continues to pioneer innovative research that bridges academia and industry. His extensive research skills have made him a leading figure in advancing precision engineering and smart manufacturing technologies worldwide.

Awards and Honors

Liu Kuo’s contributions to mechanical engineering and intelligent manufacturing have been recognized through numerous prestigious awards and honors. He has been named a young top talent under China’s “Ten Thousand People Plan,” a highly competitive program aimed at fostering top-tier researchers. Additionally, he has been selected for the Liaoning Province “Xingliao Talent Plan,” which acknowledges outstanding professionals in engineering and technology. His recognition as a high-end talent in Dalian City further underscores his influence in the field. Beyond these honors, Liu Kuo has received multiple awards for his groundbreaking research in CNC machine tools and precision manufacturing. His patents and scientific publications have earned national and international acclaim, contributing to advancements in intelligent machine tool systems. His role in national standardization committees highlights his leadership in shaping the future of CNC technology. Through his dedication to research, innovation, and knowledge dissemination, he has significantly impacted China’s industrial and academic landscapes. Liu Kuo’s achievements demonstrate his commitment to excellence and his continuous pursuit of cutting-edge solutions in mechanical engineering and manufacturing.

Conclusion

Liu Kuo is a highly accomplished professor and researcher whose contributions have significantly advanced CNC machine tool technology and intelligent manufacturing. His work in precision maintenance, real-time error compensation, and intelligent monitoring has positioned him as a leader in mechanical engineering. As a professor at Dalian University of Technology and deputy director of the Intelligent Manufacturing Longcheng Laboratory, he plays a crucial role in shaping future advancements in manufacturing technology. His extensive portfolio of research projects, patents, and scientific publications underscores his dedication to innovation. Recognized as a young top talent in China, he has received numerous prestigious awards and honors for his contributions. His leadership in national standardization committees further highlights his influence in the field. By integrating artificial intelligence and real-time monitoring into CNC machines, Liu Kuo continues to revolutionize intelligent manufacturing. His research and expertise bridge the gap between academia and industry, fostering technological advancements that drive economic growth. As he continues to push the boundaries of precision engineering, Liu Kuo remains a key figure in the development of cutting-edge manufacturing solutions. His work not only enhances industrial efficiency but also paves the way for the future of smart manufacturing.

Publication Top Notes

  1. Title: Characteristics of time series development and formation mechanism of icing interface strain under three-dimensional freezing conditions

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  2. Title: Research on precision machining for ultra-thin structures based on 3D in-situ ice clamping

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  3. Title: Cryogenic fluid labyrinth sealing characteristics considering cavitation effect

    • Authors: L. Han, Lingsheng; Y. Cheng, Yishun; X. Duan, Xinbo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  4. Title: Defect formation mechanism in the shear section of GH4099 superalloy honeycomb under milling with ice fixation clamping

    • Authors: S. Jiang, Shaowei; D. Sun, Daomian; H. Liu, Haibo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  5. Title: Multi-objective topology optimization for cooling element of precision gear grinding machine tool

    • Authors: C. Ma, Chi; J. Hu, Jiarui; M. Li, Mingming; X. Deng, Xiaolei; S. Weng, Shengbin
    • Year: 2025
    • Citations: 4

  6. Title: A semi-supervised learning method combining tool wear laws for machining tool wear states monitoring

    • Authors: M. Niu, Mengmeng; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
    • Citations: 1

  7. Title: Influence of feed entrance angle on transverse tearing burr formation in the milling of superalloy honeycomb with ice filling constraint

    • Authors: S. Jiang, Shaowei; H. Liu, Haibo; Y. Zuo, Yueshuai; Y. Wang, Yongqing; S.Y. Liang, Steven Y.
    • Year: 2024

  8. Title: Hole position correction method for robotic drilling based on single reference hole and local surface features

    • Authors: T. Li, Te; B. Liang, Bochao; T. Zhang, Tianyi; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2024

  9. Title: Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network

    • Authors: Q. Chen, Qian; X. Mei, Xuesong; J. He, Jialong; J. Zhou, Jianqiang; S. Weng, Shengbin
    • Year: 2024
    • Citations: 38

  10. Title: A tool wear monitoring approach based on triplet long short-term memory neural networks

  • Authors: B. Qin, Bo; Y. Wang, Yongqing; K. Liu, Kuo; M. Niu, Mengmeng; Y. Jiang, Yeming
  • Year: 2024

 

YI LIU | Engineering | Best Researcher Award

Published on by World Science Awards

Dr. YI LIU | Engineering | Best Researcher Award

Associate Professor at China University of Mining and Technology-Beijing, China

Dr. Liu Yi serves as an Associate Professor and the Director of the Information Engineering Research Institute at the China University of Mining and Technology-Beijing. His extensive research focuses on mine personnel and vehicle positioning, mine monitoring, and mine communication systems. As an inventor, he holds 109 authorized patents, including one in the United States as the sole inventor. Dr. Liu has significantly contributed to the revision of China’s “Coal Mine Safety Regulations” and has been instrumental in developing 10 industry standards related to safety production, coal, and energy. His work has been recognized with several prestigious awards, including the State Technological Innovation Award and multiple provincial and ministerial scientific and technological progress awards. Additionally, he played a key role in the security engineering of four events during the 2008 Olympic Games, earning him several accolades for his outstanding contributions.

Professional Profile

Education

Dr. Liu Yi’s educational background is not detailed in the available information. However, his current position as an Associate Professor and Director at a prominent institution suggests a strong academic foundation in fields related to mining technology and information engineering. His expertise and leadership roles indicate a deep understanding of his specialization, likely supported by advanced degrees and extensive research experience.

Professional Experience

Throughout his career, Dr. Liu has been deeply involved in scientific research focusing on mine safety technologies. His work encompasses the development of systems for accurate positioning of mine personnel and vehicles, as well as advancements in mine monitoring and communication. He has been granted 109 authorized patents, including one U.S. patent as the sole inventor, highlighting his innovative contributions to the field. Dr. Liu has also played a significant role in revising the “Coal Mine Safety Regulations” for China’s Emergency Management Department and has contributed to the development of 10 industry standards related to safety production, coal, and energy. His leadership extends to his role as the Director of the Information Engineering Research Institute at the China University of Mining and Technology-Beijing, where he oversees research initiatives and guides the next generation of engineers and researchers.

Research Interests

Dr. Liu’s research interests are centered on enhancing safety and efficiency in mining operations. He focuses on developing advanced systems for the precise positioning of mine personnel and vehicles, improving mine monitoring mechanisms, and innovating mine communication technologies. His work aims to integrate cutting-edge information engineering solutions into mining practices to mitigate risks and enhance operational safety. By addressing these critical areas, Dr. Liu contributes to the advancement of mining safety standards and the implementation of effective monitoring and communication systems within the industry.

Research Skills

Dr. Liu possesses a robust set of research skills, particularly in the development and implementation of advanced technologies for mining safety. His expertise includes the design of precise positioning systems for mine personnel and vehicles, the creation of comprehensive mine monitoring frameworks, and the advancement of communication systems tailored for mining environments. His ability to innovate is evidenced by his portfolio of 109 authorized patents, reflecting his capacity to translate complex research into practical applications. Additionally, his involvement in revising national safety regulations and developing industry standards showcases his skill in applying research outcomes to influence policy and standardization in the mining sector.

Awards and Honors

Dr. Liu’s contributions have been recognized through several prestigious awards. In 2019, he received the State Technological Innovation Award (Second Prize) for his work on key technologies and systems for accurate positioning of mine personnel and vehicles. He was also honored with the China Gold Science and Technology Progress Award (Special Award) in 2017 for developing mine personnel positioning technology and systems. In 2013, he earned the China Coal Industry Association Science and Technology Progress Award (First Prize) for his contributions to key technology and equipment for mine personnel positioning, broadcasting, and communication. Additionally, his outstanding work in the security engineering of four events during the 2008 Olympic Games was recognized with several awards, including the “Outstanding Contribution” Award and the title of “Exemplary Individual for Olympic Security.”

Conclusion

Dr. Liu Yi’s extensive contributions to mining safety and technology, evidenced by his numerous patents, involvement in setting industry standards, and receipt of prestigious awards, underscore his significant impact on the field. His work not only advances technological innovations but also enhances safety protocols within the mining industry. Dr. Liu’s dedication to integrating advanced information engineering solutions into mining practices positions him as a leading figure in his field, with a lasting influence on both national and international mining safety standards.

Publication Top Notes

  1. Research on the damage characteristics of macro and microscopic scales of a loaded coal under uniaxial compression”
    • Authors: Q. Zhang, X. Li, B. Li, C. Zhou, G. Yang
    • Year: 2024
    • Journal: Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering
  2. “EDSD: efficient driving scenes detection based on Swin Transformer”
    • Authors: Wei Chen, Ruihan Zheng, Jiade Jiang, Zijian Tian, Fan Zhang, Yi Liu
    • Year: 2024
    • Journal: Multimedia Tools and Applications
  3. “Research on High-Accuracy Indoor Visual Positioning Technology Using an Optimized SE-ResNeXt Architecture”
    • Authors: Yi Liu, Minghui Wang, Changxin Li
    • Year: 2024
    • Publication Type: Conference Paper

 

Mohammad Ehtisham Khan | Chemical Engineering | Outstanding Scientists Awards

Published on by World Science Awards

Mohammad Ehtisham Khan | Chemical Engineering | Outstanding Scientists Awards

Assistant Professor at Jazan University, Saudi Arabia.

Dr. Mohammad Ehtisham Khan is an Assistant Professor in the Department of Chemical Engineering at Jazan University, Saudi Arabia. With a robust academic and research background, he specializes in nanotechnology, wastewater treatment, and environmental remediation. Dr. Khan has published numerous high-impact research articles in leading journals and has played a key role in advancing chemical engineering technologies, particularly in sustainable practices for water purification. His work spans diverse fields including nanocomposites, biosensors, and renewable energy applications, showcasing his commitment to addressing environmental challenges. Dr. Khan’s international exposure through postdoctoral research in South Korea and extensive experience in academia highlights his dedication to fostering scientific innovation. He has earned multiple prestigious awards and consistently contributes to scientific literature, editorial responsibilities, and advanced research projects, further solidifying his reputation as a leading researcher in his field.

Profile👤

Google Scholar

Education📝

Dr. Khan holds a Ph.D. in Chemical Engineering from Yeungnam University, South Korea, where he completed a dissertation on graphene-based nanocomposites for photocatalytic and photoelectrochemical applications. His doctoral research encompassed advanced coursework and experimental work, achieving an A+ in all subjects. Prior to his Ph.D., he earned a Master’s in Technology (M. Tech) in a related engineering discipline. He also undertook a postdoctoral research position at the same university, contributing to cutting-edge studies in chemical engineering. His academic journey is marked by a strong focus on nanotechnology and environmental sciences, equipping him with the expertise to address complex challenges in water purification and renewable energy systems. His education, combined with his global exposure, positions him as an expert in chemical engineering technology.

Experience👨‍🏫

Dr. Khan has accumulated a wealth of academic and research experience. He is currently an Assistant Professor in the Department of Chemical Engineering at Jazan University, where he has been since 2018. Prior to this, he held a postdoctoral research associate position at Yeungnam University, South Korea, working on advanced chemical engineering projects. Dr. Khan also served as a researcher at the Institute of Clean Technology and the School of Chemical Engineering at Yeungnam University, focusing on sustainable technologies for environmental applications. Additionally, he has taken on administrative responsibilities as the head of the Chemical Engineering Technology Department at Jazan University, overseeing academic programs and student projects. His experience also includes supervising final-year projects, mentoring undergraduate students, and managing multiple funded research projects.

Research Interest🔬 

Dr. Khan’s primary research interests lie in the development of nanotechnology-based solutions for environmental and industrial applications. His work focuses on the synthesis of nanocomposites and their use in photocatalytic and photoelectrochemical processes, particularly for water treatment and energy applications. He is also deeply involved in the fabrication of biosensors for environmental monitoring and medical diagnostics. Dr. Khan is interested in the intersection of chemical engineering with sustainability, exploring carbon-based nanomaterials for wastewater purification and renewable energy storage. His ongoing research includes projects on smart nanostructured catalysts, recycling of wastewater, and the development of affordable, environmentally-friendly materials for energy and environmental applications. His expertise positions him at the forefront of efforts to address global environmental challenges through innovative chemical engineering technologies.

Awards and Honors🏆

Dr. Khan has been recognized for his significant contributions to chemical engineering and environmental science. He was listed among the top 2% of scientists in the world based on a 2023 analysis by Stanford University. He has also received the prestigious “Best Young Scientist Award (Male)” at the International Academic and Research Excellence Awards (IARE) in 2019. Additionally, he has been appointed as the “Bentham Brand Ambassador” by the Editor-in-Chief of the journal Current Medicinal Chemistry, a reflection of his influence in the scientific community. He is also a member of several editorial boards of international journals, further acknowledging his role in shaping the field through peer review and scientific discourse. His achievements underscore his dedication to advancing research in chemical engineering and environmental sustainability.

Skills🛠️

Dr. Khan possesses a comprehensive skill set that spans across chemical engineering, nanotechnology, and environmental sciences. He has expertise in the synthesis and characterization of nanocomposites, specifically for use in photocatalytic, photoelectrochemical, and biosensor applications. His technical skills also include advanced laboratory techniques, project management, and the use of analytical tools for environmental monitoring. As an academic, he has strong teaching and mentoring skills, having supervised numerous final-year student projects and managed research teams. Dr. Khan is also proficient in coordinating interdisciplinary research projects, as demonstrated by his leadership roles in various funded initiatives. His skills in scientific writing, peer review, and editorial responsibilities are further enhanced by his contributions to high-impact journals and international conferences.

Conclusion 🔍 

Dr. Mohammad Ehtisham Khan is a distinguished academic and researcher whose contributions to chemical engineering and environmental sustainability have earned him international recognition. His extensive research in nanotechnology, particularly in the development of materials for water purification and renewable energy, aligns with global efforts to combat environmental degradation. Dr. Khan’s expertise, coupled with his leadership roles in academia, make him a strong candidate for research-focused awards. His accolades, including being listed among the top 2% of scientists, highlight his impact on the field. Overall, his dedication to advancing chemical engineering technologies, mentoring students, and contributing to scientific discourse solidifies his position as a leading figure in his field.

Publication Top Notes

A focused review on organic electrochemical transistors: A potential futuristic technological application in microelectronics
Authors: A Raza, U Farooq, K Naseem, S Alam, ME Khan, A Mohammad, W Zakri, et al.
Year: 2024
Journal: Microchemical Journal, Article 111737

Comparative analysis of dye degradation methods: Unveiling the most effective and environmentally sustainable approaches, a critical review
Authors: FU Nisa, K Naseem, A Aziz, W Hassan, N Fatima, J Najeeb, SU Rehman, et al.
Year: 2024
Journal: Review in Inorganic Chemistry, Vol. 1, pp. 1-27

Advancement in optical and dielectric properties of unsaturated polyester resin/zinc oxide nanocomposite: Synthesis to application in electronics
Authors: H Noor, A Zafar, A Raza, A Baqi, U Farooq, ME Khan, W Ali, SK Ali, et al.
Year: 2024
Journal: Journal of Materials Science: Materials in Electronics, Vol. 35(23), pp. 1598
Citations: 1

Excellent electrochemical performance of N and Mn doped NiCo2O4 functional nanostructures: An effective approach for symmetric supercapacitor application
Authors: A Sasmal, AK Nayak, ME Khan, W Ali, SK Ali, AH Bashiri
Year: 2024
Journal: Physica Scripta, Vol. 99(8), Article 085919

Fabrication and characterization of binary composite MgO/CuO nanostructures for the efficient photocatalytic ability to eliminate organic contaminants: A detailed spectroscopic analysis
Authors: U Farooq, M Raza, SA Khan, S Alam, ME Khan, W Ali, W Al Zoubi, SK Ali, et al.
Year: 2024
Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Vol. 315, Article 124264
Citations: 9

Insight into mechanism of excellent visible-light photocatalytic activity of CuO/MgO/ZnO nanocomposite for advanced solution of environmental remediation
Authors: M Imran, M Raza, H Noor, SM Faraz, A Raza, U Farooq, ME Khan, SK Ali, et al.
Year: 2024
Journal: Chemosphere, Vol. 359, Article 142224
Citations: 5

An affordable label-free ultrasensitive immunosensor based on gold nanoparticles deposited on glassy carbon electrode for the transferrin receptor detection
Authors: A Ahmad, G Rabbani, MA Zamzami, S Hosawi, OA Baothman, H Altayeb, ME Khan, et al.
Year: 2024
Journal: International Journal of Biological Macromolecules, Vol. 273(2), Article 133083
Citations: 3

Computational Drug Discovery of Medicinal Compounds for Cancer Management -Volume II
Authors: K Ahmad, S Shaikh, FI Khan, ME Khan
Year: 2024
Journal: Frontiers in Chemistry, Vol. 1, Article 1446510

Temperature and pressure dependent tunable GaAsSb/InGaAs QW heterostructure for application in IR-photodetector
Authors: W Ali, AM Quraishi, K Kumawat, ME Khan, SK Ali, AU Khan, AH Bashiri, et al.
Year: 2024
Journal: Physica E: Low-dimensional Systems and Nanostructures, Vol. 160, Article 115939

Solving the fouling mechanisms in composite membranes for water purification: An advanced approach
Authors: Y Ezaier, A Hader, A Latif, ME Khan, W Ali, SK Ali, AU Khan, AH Bashiri, et al.
Year: 2024
Journal: Environmental Research, Vol. 250, Article 118487
Citations: 4

Synthesis and characterization of X (X= Ni or Fe) modified BaTiO3 for effective degradation of Reactive Red 120 dye under UV-A light and its biological activity
Authors: K Balu, T Abisheik, T Niyitanga, S Kumaravel, W Ali, ME Khan, SK Ali, et al.
Year: 2024
Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Article 124556
Citations: 1

Applications of nanomedicine-integrated phototherapeutic agents in cancer theranostics: A comprehensive review of the current state of research
Authors: A Shoaib, S Javed, M Tabish, ME Khan, M Zaki, SS Alqahtani, MH Sultan, et al.
Year: 2024
Journal: Nanotechnology Reviews, Vol. 13, Article 20240023

Preparation and Spectrochemical characterization of Ni-doped ZnS nanocomposite for effective removal of emerging contaminants and hydrogen production: Reaction kinetics and mechanisms
Authors: M Raza, U Farooq, SA Khan, Z Ullah, ME Khan, SK Ali, OY Bakather, et al.
Year: 2024
Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Article 124513
Citations: 6

Non-Enzymatic Glucose Sensors Composed of Polyaniline Nanofibers with High Electrochemical Performance
Authors: N Sobahi, MM Alam, M Imran, ME Khan, A Mohammad, T Yoon, et al.
Year: 2024
Journal: Molecules, Vol. 29(11), Article 2439