Month: November 2025

Weidong Wen | Chemistry | Best Researcher Award

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Dr. Weidong Wen | Chemistry | Best Researcher Award

Anhui University | China

Dr. Weidong Wen is an emerging materials scientist whose research focuses on electrocatalytic nitrate reduction to ammonia, plasma-assisted nanoarray catalyst fabrication, and in-situ electrochemical spectroscopy. His work addresses a globally significant scientific challenge: developing sustainable, energy-efficient pathways for ammonia synthesis while contributing to nitrate pollution mitigation. Dr. Wen has established a strong research track record at an early career stage, with multiple publications in high-impact journals such as Advanced Functional Materials and Angewandte Chemie International Edition, where he has served as both first and contributing author. His studies on metastable copper phases, electrolyte microenvironment modulation, and atomically dispersed active sites have expanded fundamental understanding of catalytic mechanisms and enabled the design of high-performance electrocatalysts for selective ammonia production. Collectively, his publications have garnered strong visibility in the materials and electrochemistry communities, reflecting the relevance and novelty of his contributions. Dr. Wen’s academic training includes rigorous research experience across institutions in China and Germany, where he collaborated with interdisciplinary teams and contributed to joint Ph.D. research efforts in solid-state physics and materials engineering. These collaborations have strengthened his expertise in advanced characterization techniques and provided an international dimension to his scientific development. His work has also resulted in impactful insights with potential societal benefits, including pathways to cleaner fertilizer production, reduction of industrial energy consumption, and environmental remediation through nitrate conversion technologies. Throughout his academic career, Dr. Wen has earned multiple institutional scholarships in recognition of his academic excellence, research productivity, and commitment to scientific advancement. With a growing publication record, strong methodological skills, and a clear focus on addressing environmentally relevant challenges, Dr. Wen is positioned to make sustained and influential contributions to materials science, catalysis, and sustainable chemical engineering. His trajectory reflects a promising future as a researcher capable of driving innovations with both scientific and societal relevance.

Profile: Scopus

Featured Publications

  1. Wen, W., Yan, P., Sun, W., Zhou, Y., & Yu, X.-Y. (2023). Metastable phase Cu with optimized local electronic state for efficient electrocatalytic production of ammonia from nitrate. Advanced Functional Materials, 33, 2212236.
  2. Wen, W., Fang, S., Zhou, Y., Zhao, Y., Li, P., & Yu, X.-Y. (2024). Modulating the electrolyte microenvironment in electrical double layer for boosting electrocatalytic nitrate reduction to ammonia. Angewandte Chemie International Edition, 63, e202408382.
  3. Wang, Y., Zhang, W., Wen, W., Yu, X., Du, Y., Ni, K., Zhu, Y., & Zhu, M. (2023). Atomically dispersed unsaturated Cu-N3 sites on high-curvature hierarchically porous carbon nanotube for synergistic enhanced nitrate electroreduction to ammonia. Advanced Functional Materials, 33, 2302651.

Himanshi Yaduvanshi | Onco-Immunology | Best Researcher Award

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Dr. Himanshi Yaduvanshi | Onco-Immunology | Best Researcher Award

Springer Nature | India

Dr. Himanshi Yaduvanshi is a PhD-trained life sciences researcher with strong expertise in oncology, immunology, and metabolic disorders, specializing in the interplay between glucose and lipid metabolism and cancer progression. Her research contributions span mechanistic studies in melanoma, breast cancer, and colon cancer, with a particular focus on metabolic reprogramming, macrophage phenotypic switching in obesity-linked tumor growth, and therapeutic modulation of cholesterol pathways. She has published several peer-reviewed research articles in respected journals such as Cancer Research, Cancer Metabolism, Molecular Cell Research, and Journal of Biosciences, in addition to contributing to preprints and collaborative manuscripts currently in preparation. Her work is further strengthened by involvement in an Indian patent on a novel anticancer therapeutic combination, demonstrating her commitment to translational innovation. Dr. Yaduvanshi’s technical proficiency encompasses flow cytometry, confocal microscopy, in vivo tumor models, metabolic assays using Seahorse technology, immunophenotyping, molecular cloning, qPCR, immunoblotting, and proteomics workflows. Her research background is distinguished by effective collaboration across multidisciplinary teams at the National Centre for Cell Science (NCCS), where she led experimental design, troubleshooting, and data analysis for complex, multi-lab projects. She has participated in national and international scientific platforms, presenting her work at the International Union of Immunological Societies (IUIS) Conference, CMBC Conference, and Immuno-Oncology Society of India (I-OSI), earning recognition for both poster and oral presentations. Beyond academic research, Dr. Yaduvanshi contributes to scientific communication and industry engagement through her roles as Technical Sales Manager at Bio Bench Solutions and Associate Editor with Springer Nature, where she ensures the quality and integrity of scientific protocols. Her work collectively supports societal impact by advancing understanding of cancer metabolism and informing the development of more effective therapeutic strategies. With a strong record of research excellence, innovation, and interdisciplinary collaboration, Dr. Yaduvanshi continues to contribute meaningfully to global biomedical science.

Profile: ORCID

Featured Publications

  1. Athavale, D., Yaduvanshi, H., Bhati, F. K., Mayengbam, S. S., More, T., Rapole, S., & Bhat, M. K. (2024). Hypercholesterolemia-induced impairment in sorafenib functionality is overcome by avasimibe co-treatment.
  2. Mayengbam, S. S., Singh, A., Yaduvanshi, H., Bhati, F. K., Deshmukh, B., Athavale, D., Ramteke, P. L., & Bhat, M. K. (2023). Correction: Cholesterol reprograms glucose and lipid metabolism to promote proliferation in colon cancer cells. Cancer & Metabolism, 11.
  3. Singh, A., Mayengbam, S. S., Yaduvanshi, H., Wani, M. R., & Bhat, M. K. (2022). Obesity programs macrophages to support cancer progression. Cancer Research, 82.

Omid Mehrpour | Pharmaceutical Science | Editorial Board Member

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Dr. Omid Mehrpour | Pharmaceutical Science | Editorial Board Member

Wayne State University | United States

Dr. Omid Mehrpour is a distinguished medical toxicologist, clinical data scientist, and physician whose work integrates toxicology, public health, and artificial intelligence to advance diagnostic accuracy and patient outcomes. With over two decades of academic, clinical, and research experience, he has become an internationally recognized expert in poisoning, substance use disorders, and AI-driven medical decision-making. Dr. Mehrpour has authored more than 200 peer-reviewed articles, ten book chapters, and a book translation, accumulating over 4,000 scientific citations. His publications and research outputs have significantly shaped clinical toxicology guidelines globally, particularly in areas related to opioids, heavy metals, aluminum phosphide, cannabinoids, and environmental toxicants. A pioneer in AI-based diagnostic innovation, Dr. Mehrpour developed machine learning–driven protocols for poison diagnosis, leading to two registered U.S. patents and additional patents in Iran for diagnostic software and toxicology devices. His work at the Rocky Mountain Poison & Drug Safety Center and collaborations with national databases such as NPDS and ToxIC contributed foundational methods for rapid identification and triage of poisoning cases. He has also led AI and clinical informatics initiatives at the University of Colorado Anschutz Medical Campus and founded AI and Health LLC to develop intelligent clinical tools that enhance diagnosis and care delivery. Throughout his career, Dr. Mehrpour has held leadership roles including Head of the Medical Toxicology and Drug Abuse Research Center and Director of the Poisoning Ward at Birjand University of Medical Sciences. He has supervised numerous graduate researchers and served on editorial boards of multiple international journals. His contributions have received global recognition, including placement among the top 2% of scientists worldwide, multiple “Top Reviewer” honors from Publons, and numerous national research awards. Dr. Mehrpour’s work continues to elevate the fields of toxicology, predictive modeling, and precision medicine, contributing impactful solutions that improve healthcare systems and advance patient safety worldwide.

Profiles: Scopus | ORCID

Featured Publications

1. Eizadi-Mood, N., Barzam, E., Pirali, Z., Feizi, A., Namvar, M., Abdi, E., Mirmoghtadaee, P., Mehrpour, O., & Meamar, R. (2025). Gender differences in opioid and stimulant poisoning in the central region of Iran: A cross-sectional study. Scientific Reports.

2. Amrollahi-Sharifabadi, M., Oladejo, T. O., Ibrahim, A. S., Shakoor, B., Mehrpour, O., Sadeghi-Hashjin, G., & Gonçalves, S. (2025). Melatonin’s paradox: From therapeutic benefits to toxicity warnings. Chemico-Biological Interactions, 111556.

3. Kooshki, A., Mansouri, B., Farmani, R., Amirabadizadeh, A., Mehrpour, O., Sanjari, M. J., & Nakhaee, S. (2024). Essential and toxic metal concentrations in biological samples of multiple sclerosis patients: A systematic review and meta-analysis. PLOS ONE, 19(12), e0313851.

4. Mehrpour, O., & Sadeghi, M. (2024). The occurrence of unusually cold weather could contribute to the incidence of carbon monoxide poisoning. Clinical and Experimental Emergency Medicine.

5. Nakhaee, S., Kooshki, A., Hormozi, A., Akbari, A., Mehrpour, O., & Farrokhfall, K. (2023). Cinnamon and cognitive function: A systematic review of preclinical and clinical studies. Nutritional Neuroscience.

Kasye Shitu Mulat | Engineering | Editorial Board Member

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Mr. Kasye Shitu Mulat | Engineering | Editorial Board Member

Anhui University | Ethiopia

Mr. Kasye Shitu Mulat is an accomplished Irrigation Engineer and GIS & Remote Sensing Specialist with extensive academic, research, and professional experience in water resources, climate change impacts, hydrological modeling, and sustainable agricultural development. Born on 02 October 1991 in Borena Mekane Selam, Ethiopia, he currently serves as a Lecturer and Researcher at Assosa University, where he contributes to teaching, scientific research, and community-centered development initiatives. Mr. Kasye earned his Bachelor of Science in Water Resource and Irrigation Management from Aksum University with Very Great Distinction (CGPA 3.64). He later completed his MSc in Irrigation Engineering at Haramaya University, achieving an “A” thesis grade and a CGPA of 3.79. Further expanding his scientific expertise, he obtained a second Master of Science in GIS and Remote Sensing from Wollo University. His multidisciplinary background positions him at the forefront of research linking climate dynamics, hydrological systems, and agricultural water management. He has authored more than 11 peer-reviewed publications and has four additional manuscripts under review in reputable international journals. His research outputs span topics such as climate change impacts on irrigation potential, hydrological modeling of river basins, statistical downscaling, kriging-based spatial analyses, land use/land cover dynamics, and soil–water interactions. His works have contributed to improving understanding of the Upper Blue Nile Basin, Borkena Catchment, and other key Ethiopian watersheds. In addition to academic research, Mr. Kasye has led impactful community engagement projects, including free-energy garden irrigation initiatives and wheat production enhancement programs across Benishangul-Gumuz. These interventions have strengthened food security, improved smallholder livelihoods, and promoted climate-resilient agricultural practices. With advanced skills in ArcGIS, SWAT, HBV, R, GAMS, CropWat, and hydrological modeling software, he collaborates with agricultural offices, university research committees, and interdisciplinary teams. His contributions continue to influence regional water resource planning, climate adaptation strategies, and sustainable development efforts in Ethiopia.

Profile: Scopus

Featured Publications

  1. (2025). Assessing drought dynamics in a semi-arid basin: A multi-index approach using hydrological and remote-sensing indicators. Environmental Sciences Europe.

Moshe Mello | Chemical Engineering | Editorial Board Member

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Mr. Moshe Mello | Chemical Engineering | Editorial Board Member

Chemical Engineering | South Africa

Mr. Moshe Mello is an emerging scholar and multidisciplinary engineering professional with expertise spanning chemical engineering, metallurgical production, waste management, and renewable energy systems. He holds a Master of Technology (MTech) in Chemical Engineering from the Vaal University of Technology (VUT), where his postgraduate research focused on the desulfurization of tire pyrolytic oil using adsorption and photodegradation—contributing to ongoing global efforts in sustainable fuel development and circular waste-to-energy technologies. His research outputs include peer-reviewed articles published in the Journal of Air and Waste Management (Taylor & Francis) and Chemical Engineering Transactions, reflecting his growing academic impact within waste valorization and environmental process engineering. Mr. Mello’s professional experience integrates academia, laboratory practice, and metallurgical engineering. As a Junior Lecturer at VUT, he has played a pivotal role in curriculum development for Diploma, Advanced Diploma, BEngTech, and postgraduate programs, particularly in Heat and Mass Transfer, Separation Technologies, and Petroleum Engineering electives. He has supervised undergraduate research projects, contributed to teaching and learning innovation, and supported departmental outreach activities. His earlier work as a Laboratory Technician strengthened his proficiency with analytical equipment, experimental method design, and student mentorship. In industry, Mr. Mello served as a Metallurgical Production Engineer (Training) at Samancor Middelburg Ferrochrome, where he led process optimization initiatives, metallurgical control, electrode management, and mass–energy balance assessments. His notable achievements include reducing coke consumption to 17% in SAF operations, saving the company over 50 million rands annually, and developing a recyclable mould-coating product that expanded production capacity and created new employment opportunities. He also contributed to a Blue Drop certification milestone for a public water treatment facility through collaborative undergraduate research.

Profile: Scopus

Featured Publications

  1. (2023). Semi-empirical modelling for dissolution of calcium from ironmaking slag in ammonium acetate for CO₂ utilization. Engineering Proceedings

 

Mohammed Laid Tedjani | Materials Science | Editorial Board Member

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Dr. Mohammed Laid Tedjani | Materials Science | Editorial Board Member

El oued university | Algeria

Dr. Mohammed Laid Tedjani is a Process Engineering specialist at the Faculty of Technology, University of El-Oued, Algeria, where he also serves as a Temporary Professor. He earned his Ph.D. in Process Engineering in March 2022, following a Master’s degree in Petroleum Refining Engineering (2018) and a Bachelor’s degree in Refining and Petrochemicals (2016), consistently ranking first in his cohort with an outstanding academic record. His research spans process optimization, nanotechnology, material science, biosynthesis, antioxidant and antibacterial activity, chemical engineering, crystal engineering, numerical optimization, and petroleum engineering. Dr. Tedjani has established a strong scholarly presence, contributing to numerous peer-reviewed publications in high-impact journals such as the Journal of Molecular Structure, Journal of Cluster Science, Membranes, Textile Research Journal, Journal of Inorganic and Organometallic Polymers, and Ferroelectrics. His work has received growing visibility, reflecting impactful contributions in green synthesis of metal and metal-oxide nanoparticles, their physicochemical characterization, and applications in optoelectronics, catalysis, and bioactivity enhancement. He has also presented at international conferences, including the International Seminar on Green Chemistry and Sustainable Engineering. As a Publons Academy Certified Peer Reviewer, Dr. Tedjani has completed more than 20 reviews for reputable journals, demonstrating his active role in scientific quality assurance. His collaborative research network includes national and international scholars working across materials chemistry, nanoscience, electrochemistry, and environmental engineering. His publications continue to gain citations, highlighting the societal relevance of his work in sustainable materials, green nanotechnology, and environmental remediation.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Laouini, S. E., Bouafia, A., Soldatov, A. V., Algarni, H., Tedjani, M. L., Ali, G. A. M., … (2021). Green synthesized Ag/Ag₂O nanoparticles using aqueous leaves extracts of Phoenix dactylifera L. and their azo dye photodegradation. Membranes, 11(7), 468.

2. Gherbi, B., Laouini, S. E., Meneceur, S., Bouafia, A., Hemmami, H., Tedjani, M. L., … (2022). Effect of pH value on the bandgap energy and particles size for biosynthesis of ZnO nanoparticles: Efficiency for photocatalytic adsorption of methyl orange. Sustainability, 14(18), 11300.

3. Bouafia, A., Laouini, S. E., Khelef, A., Tedjani, M. L., & Guemari, F. (2021).
Effect of ferric chloride concentration on the type of magnetite (Fe₃O₄) nanoparticles biosynthesized by aqueous leaves extract of Artemisia and assessment of their antioxidant properties. Journal of Cluster Science, 32(4), 1033–1041.

4. Laid, T. M., Abdelhamid, K., Eddine, L. S., & Abderrhmane, B. (2021).
Optimizing the biosynthesis parameters of iron oxide nanoparticles using central composite design. Journal of Molecular Structure, 1229, 129497.

5. Bouafia, A., Laouini, S. E., Tedjani, M. L., Ali, G. A. M., & Barhoum, A. (2022).
Green biosynthesis and physicochemical characterization of Fe₃O₄ nanoparticles using Punica granatum L. fruit peel extract for optoelectronic applications. Textile Research Journal, 92(15–16), 2685–2696.

Eleftherios Manousakis | Decision Sciences | Editorial Board Member

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Dr. Eleftherios Manousakis | Decision Sciences | Editorial Board Member

Athens University of Economics and Business | Greece

Dr. Eleftherios G. Manousakis is a researcher in Operations Research and Quantitative Decision Sciences, specializing in mathematical optimization, transportation systems, and logistics management. He earned his Ph.D. in Operations Research from the Athens University of Economics and Business (AUEB), where his doctoral work focused on advanced optimization methods for integrated problems in transportation, inventory, and production routing. He also holds an MSc in Computer Science with Distinction from the University of Edinburgh, specializing in Machine Learning, and a top-ranked BSc in Management Science and Technology from AUEB. Dr. Manousakis has established a strong research record, with multiple publications in high-impact, ABS-ranked international journals such as European Journal of Operational Research, Expert Systems with Applications, and the International Journal of Contemporary Hospitality Management. His scientific contributions include novel exact and matheuristic optimization frameworks for complex logistics problems, including Inventory Routing Problems (IRP), Production Routing Problems (PRP), Set Orienteering Problems, and airport slot allocation. His work has been cited by scholars globally, reflecting its methodological depth and practical relevance. He has collaborated extensively within interdisciplinary teams through major EU-funded initiatives such as the TransformingTransport project, where he served as Scenario Leader for dynamic supply chain management applications in real retail environments. His collaborations span academia, the logistics sector, and government institutions, contributing to data-driven decision support tools with measurable societal and economic impact. Dr. Manousakis has taught at the postgraduate level in AUEB’s MSc in Business Analytics program and has participated in leading international conferences including EURO, CPAIOR, POMS, and FSDET. His work has received multiple distinctions, including the University of Edinburgh Outstanding Project Submission award and first place in the Law & Artificial Intelligence Hackathon. His research interests continue to center on optimization modeling, computational intelligence, large-scale decision analytics, and real-world logistics applications, positioning him as a promising contributor to the global Operations Research community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Anagnostopoulou, S. C., Buhalis, D., Kountouri, I. L., Manousakis, E. G., & … (2019). The impact of online reputation on hotel profitability. International Journal of Contemporary Hospitality Management, 32(1), 20–39.

Manousakis, E., Repoussis, P., Zachariadis, E., & Tarantilis, C. (2021). Improved branch-and-cut for the inventory routing problem based on a two-commodity flow formulation. European Journal of Operational Research, 290(3), 870–885.

Androutsopoulos, K. N., Manousakis, E. G., & Madas, M. A. (2020). Modeling and solving a bi-objective airport slot scheduling problem. European Journal of Operational Research, 284(1), 135–151.

Manousakis, E. G., Kasapidis, G. A., Kiranoudis, C. T., & Zachariadis, E. E. (2022). An infeasible space exploring matheuristic for the production routing problem. European Journal of Operational Research, 298(2), 478–495.

Zachariadis, E. E., Nikolopoulou, A. I., Manousakis, E. G., Repoussis, P. P., & … (2022). The vehicle routing problem with capacitated cross-docking. Expert Systems with Applications, 196, 116620.

Rim Werheni Ammeri | Agricultural and Biological Sciences | Editorial Board Member

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Assist Prof Dr. Rim Werheni Ammeri | Agricultural and Biological Sciences | Editorial Board Member

Bone Marrow Transplant Center | Tunisia

Assist. Prof. Dr. Rim Werheni Ammeri is a specialist in soil and wastewater microbiology, with a research focus on bioremediation of polluted environments, particularly those contaminated with organochlorine pesticides. She holds a Ph.D. in Biological Sciences (2017) from the Faculty of Sciences of Tunis, conducted at the Laboratory of Treatment and Valorization of Water Discharges (LTVRH) and the Water Research and Technology Center (CERTE), Tunisia. Her academic formation is complemented by advanced training in molecular biology, microbial ecology, environmental biotechnology, and analytical techniques such as HPLC, phylogeny, sequencing, and proteomics. Dr. Werheni’s research investigates the microbial, biochemical, molecular, and physicochemical dynamics of contaminated soils and wastewater, with special emphasis on microbial community diversity and the effects of environmental stressors on bacteria and fungi. Her work integrates bioaugmentation, biostimulation, phytoremediation, and adsorption processes to develop innovative solutions for pollutant removal. She has significantly contributed to understanding the long- and short-term impacts of treated wastewater reuse in agriculture, particularly in arid regions, through detailed physico-chemical, microbiological, and molecular assessments. She has held key research positions, including a Postdoctoral Fellowship at the Arid Lands Institute (Mednine, Tunisia) within the MEDISS project and scientific involvement in the internationally collaborative PEER program with the University of Texas. Her international exposure includes a research internship at the Soil Proteomics Laboratory in Naples, Italy, focused on bioremediation strategies for pesticide-contaminated forest soils. Dr. Werheni has authored more than 30 scientific publications in high-impact international journals such as Applied Soil Ecology, International Journal of Phytoremediation, Archives of Microbiology, and International Journal of Environmental Health Research. Her work is widely cited within the fields of environmental microbiology, bioremediation, and wastewater research, contributing to sustainable agricultural practices, environmental protection policies, and improved public health.

Profile: ORCID

Featured Publications

1. Werheni, R., Badi, S., Eturki, S., Ouesleti, M., Sadfi-Zouaoui, N., Benabderrahim, M. A., Hachicha, M., & Hassen, A. (2025). Phosphorus biostimulation and phytoremediation in wastewater treatment used for alfalfa plant irrigation. Water Reuse.

2. Werheni Ammeri, R., Hidri, Y., Ouesleti, M., Eturki, S., Sadfi-Zouaoui, N., & Hassen, A. (2025). Impact of phosphorus biofertilization on arid Tunisian soils irrigated with treated wastewater. Journal of Soil Science and Plant Nutrition.

3. Sallami, I., Werheni Ammeri, R., Turki-Ghodbane, Y., & Hassan, A. (2024). Application of a cocktail of three bacteriophages for the biocontrol of Salmonella in raw fresh milk. Preprint.

4. Werheni Ammeri, R., Eturki, S., Di Rauso Simeone, G., Ben Moussa, K., Hassen, W., Moussa, M., & Hassen, A. (2023). Effectiveness of combined tools: Adsorption, bioaugmentation and phytoremediation for pesticides removal from wastewater. International Journal of Phytoremediation, 25(??).

5. Werheni Ammeri, R., Kouki, S., Hassen, W., Oueslati, M., Sadfi-Zouaoui, N., & Hassen, A. (2023). Bioaugmentation and phytoremediation wastewater treatment process as a viable alternative for pesticides removal: Case of pentachlorophenol. Journal of Environmental Health Science and Engineering.

S M Nahian Al Sunny | Computer Science | Editorial Board Member

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Dr. S M Nahian Al Sunny | Computer Science | Editorial Board Member

Walmart Global Tech | United States

Dr. S. M. Nahian Al Sunny is an accomplished researcher and software engineering professional with extensive experience in data-driven cloud applications, next-generation cyber-physical systems, and large-scale data engineering. With over two years of industry experience and five years of research-focused development, he combines academic rigor with practical innovation to address complex, real-world problems through scalable and intelligent technological solutions. He holds a Ph.D. in Computer Engineering from the University of Arkansas, USA, and a Bachelor’s degree in Electrical and Electronics Engineering from the Bangladesh University of Engineering and Technology. Dr. Sunny’s expertise spans Python, Java, R, advanced data engineering, distributed computing, big data analytics, machine learning pipelines, and cloud platforms including Google Cloud Platform, AWS, and Snowflake. His professional career at Walmart Global Tech involves architecting high-performance Spark/PySpark applications, forecasting systems, anomaly detection frameworks, and ETL pipelines that support decision-making at national scale. His contributions include developing predictive models with accuracies exceeding 90%, engineering multi-variate machine learning pipelines for more than 20,000 retail items, and designing cost-optimization strategies that produced substantial yearly savings in cloud resource utilization. In academia, Dr. Sunny pioneered research in cloud-based cyber-physical manufacturing systems, contributing to the development of MTComm—an Internet-scale communication method for remote machine tool interoperability. His work on IoT-integrated grocery delivery systems, smart edge hubs, and latency-optimized communication architectures demonstrates a strong commitment to advancing Industry 4.0 technologies. Dr. Sunny has published 12 peer-reviewed documents, including 3 journal articles and 9 conference papers, accumulating 487+ citations and an h-index of 8, reflecting the impact and visibility of his research. He has collaborated with interdisciplinary teams across cloud computing, manufacturing automation, robotics, and embedded systems, contributing to systems that hold both industrial and societal relevance. His ongoing work continues to bridge intelligent automation, data engineering, and cloud ecosystems to create future-ready technological solutions.

Profiles: Scopus | Google Scholar

Featured Publications

Hu, L., Nguyen, N. T., Tao, W., Leu, M. C., Liu, X. F., Shahriar, M. R., & Al Sunny, S. M. N. (2018). Modeling of cloud-based digital twins for smart manufacturing with MT Connect. Procedia Manufacturing, 26, 1193–1203.

Liu, X. F., Shahriar, M. R., Al Sunny, S. M. N., Leu, M. C., & Hu, L. (2017). Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed. Journal of Manufacturing Systems, 43, 352–364.

Shahriar, M. R., Al Sunny, S. M. N., Liu, X., Leu, M. C., Hu, L., & Nguyen, N. T. (2018). MTComm-based virtualization and integration of physical machine operations with digital twins in cyber-physical manufacturing cloud. In 2018 5th IEEE International Conference on Cyber Security and Cloud Computing.

Sunny, S. M. N. A., Liu, X. F., & Shahriar, M. R. (2018). Communication method for manufacturing services in a cyber–physical manufacturing cloud. International Journal of Computer Integrated Manufacturing, 31(7), 636–652.

Liu, X. F., Sunny, S. M. N. A., Shahriar, M. R., Leu, M. C., Cheng, M., & Hu, L. (2016). Implementation of MTConnect for open-source 3D printers in cyber physical manufacturing cloud. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

Ying Mei | Radiology | Best Researcher Award

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Mr. Ying Mei | Radiology | Best Researcher Award

Institute of Public Health and Preventive Medicine | China

Ying Mei demonstrates a strong blend of clinical expertise, academic contribution, and innovative thinking that positions him as a valuable candidate for professional recognition. His strengths are evident in his long-standing contributions to radiology, particularly in CT, MR, and ultrasound diagnostics, where his diagnostic accuracy and methodological rigor have consistently supported improved patient outcomes and enhanced clinical decision-making. His experience in interventional diagnosis and his sustained engagement in chronic disease health management research reflect his commitment to expanding the role of radiology in preventive and long-term care. In addition to his clinical proficiency, he has strengthened the professional knowledge base through two published monographs—serving as both chief editor and deputy chief editor—and through multiple domestic and international publications. His academic profile includes 2 documents, 19 citations, and an h-index of 1, demonstrating active participation in scientific dissemination and growing scholarly impact. Another notable strength is his capacity for innovation, evidenced by four national invention patent applications that advance technical solutions in medical imaging and demonstrate his drive to translate clinical challenges into practical, scalable innovations. While his clinical and academic achievements are impressive, continued expansion of international collaborations, deeper engagement in high-impact research projects, and increased involvement in multidisciplinary initiatives would further elevate his scholarly visibility and broaden the global relevance of his work. Strengthening publication output in top-tier journals and increasing citation influence could enhance his academic metrics and reinforce his leadership in the field. Looking ahead, Ying Mei’s future potential is significant: his combined clinical insight, research experience, and inventive capability provide a strong foundation for leading advancements in imaging-based chronic disease management, contributing to evidence-based radiology, and fostering innovation in diagnostic technologies. His background and achievements position him well for broader professional leadership roles, expanded contributions to scientific societies, and further advancements in medical imaging research and healthcare innovation—making him a promising figure poised for continued growth and impactful contributions to the radiology profession.

Profile: ORCID

Featured Publications

  1. Li, X., Zhao, C., Xu, D., Ye, J., & Mei, Y. (2025). 3-month postoperative efficacy evaluation of CT-guided ¹²⁵I seed implantation treatment for intracranial tumors: A double-center retrospective analysis. Cancer Treatment and Research Communications, 101033.