Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

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Dr. Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

Assistant Professor | King Saud University  | Saudi Arabia

Dr. Ahmed M. El-Sherbeeny is an Assistant Professor of Industrial Engineering at King Saud University, specializing in safety engineering, human factors and ergonomics, and environmental engineering. With an extensive interdisciplinary research portfolio, he has contributed significantly to high-impact domains including public health, intelligent systems, machine learning, environmental remediation, and industrial sustainability. His scholarly impact is reflected in 456 publications 7,784 citations, an h-index of 44, and an i10-index of 135, positioning him as a highly influential researcher within and beyond his primary discipline.Dr. El-Sherbeeny has collaborated on several landmark global studies most notably the Recovery trials published in The Lancet, which transformed clinical decision-making for COVID-19 treatment. His co-authored works on Tocilizumab Casirivimab/Imdevimab Azithromycin Baricitinib and corticosteroid therapy collectively account for thousands of citations underscoring his role in research that shaped international health policies. Beyond clinical research he has made notable contributions to intelligent security frameworks for electric vehicles machine-learning-driven medical diagnostics and blockchain-based IoT access control demonstrating strong engagement with emerging technological frontiers.In the environmental and materials engineering domains his publications address photocatalytic degradation nanocomposites for pollutant removal drug-delivery materials groundwater quality assessment and energy-efficient systems reflecting an impressive breadth of problem-solving across sustainability and environmental protection. His collaborative works span multiple continents involving international teams from engineering medical sciences environmental chemistry and computational intelligence.Dr. El-Sherbeeny’s research outputs appearing in top-tier journals such as The Lancet Chemical Engineering Journal Journal of Hazardous Materials ACS Omega and IEEE Access highlight both methodological rigor and societal impact. His contributions advance safer industrial systems enhance public health resilience support data-driven environmental management and promote technologically integrated solutions for global sustainability challenges.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Avatefipour, O., Al-Sumaiti, A. S., El-Sherbeeny, A. M., Awwad, E. M., & Elmeligy, M. A. (2019). An intelligent secured framework for cyberattack detection in electric vehicles’ CAN bus using machine learning. Cited By : 185

2.Nadeem, A., Ahmad, S. F., Al-Harbi, N. O., Fardan, A. S., & El-Sherbeeny, A. M. (2017). IL-17A causes depression-like symptoms via NFκB and p38MAPK signaling pathways in mice: Implications for psoriasis associated depression.
Cited By : 172

3.Nadeem, A., Al-Harbi, N. O., Al-Harbi, M. M., El-Sherbeeny, A. M., & Ahmad, S. F. (2015). Imiquimod-induced psoriasis-like skin inflammation is suppressed by BET bromodomain inhibitor in mice through RORC/IL-17A pathway modulation. Pharmacological Research, 99, 248–257.  Cited By : 132

4.Mahum, R., Rehman, S. U., Meraj, T., Rauf, H. T., Irtaza, A., & El-Sherbeeny, A. M. (2021). A novel hybrid approach based on deep CNN features to detect knee osteoarthritis. Cited By : 117

5.Yang, X., Wang, J., El-Sherbeeny, A. M., AlHammadi, A. A., & Park, W. H. (2022). Insight into the adsorption and oxidation activity of a ZnO/piezoelectric quartz core-shell for enhanced decontamination of ibuprofen: Steric, energetic, and oxidation studies. Cited By : 98

Dr. Ahmed M. El-Sherbeeny’s interdisciplinary research integrates industrial engineering, machine learning, and environmental sciences to advance public health, industrial safety, and sustainable technologies. His work informs global healthcare strategies, enhances intelligent systems, and drives innovative solutions with broad societal and industrial impact.

Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

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Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

Research Associate , School of Engineering and Design, Technical University of Munich , Germany

Naomi Y. Mbelekani 🇩🇪 is a dynamic Research Associate at the School of Engineering and Design, Technical University of Munich 🏛️. Her work bridges the cutting edge of human factors engineering 🤝, AI 🤖, and automated vehicle systems 🚗. Naomi is globally recognized for her innovative research in socially cognitive robots, behavioral adaptation, and human-computer interaction 🧠💻. With a strong publication record and cross-continental collaborations 🌍, she continues to influence both academia and industry. Passionate about responsible technology development, Naomi inspires future researchers while pushing the boundaries of human-machine symbiosis 🚀.

Professional Profile

SCOPUS

Education & Experience

Naomi holds a Ph.D. 🎓 from the Technical University of Munich, specializing in AI and automation in human-centric systems 🔄. Her research and experience span Europe and Israel, including key roles in projects like SHAPE-IT and SOCRATES 🤖. She combines neuroscience, ergonomics, and robotics to tackle challenges in automated driving and robotic-human interaction 🛣️. Naomi has worked with academic teams and industrial partners to design user-responsive technologies 🔧. Her interdisciplinary foundation in engineering, cognitive science, and project management ensures a comprehensive approach to problem-solving 🧠📘.

Professional Development

Naomi’s career is a blueprint of continual learning and impact 🌱. Through Marie Skłodowska-Curie Actions 🇪🇺, she gained high-level project management skills and collaborative leadership experience 🔬. Her training includes neuroergonomics, human-computer interfaces, and adaptive automation 🚀. She frequently engages in international conferences 🌍, publishes in leading journals 📑, and mentors early-stage researchers 👩‍🏫. Naomi’s participation in advanced workshops and policy-level research meetings shows her commitment to responsible tech integration and lifelong learning 💡. She is an emerging leader in human-centered design for future mobility and automation systems 🧩.

Research Focus Areas

Naomi’s research revolves around human-AI interaction 🤝, automated driving systems 🚗, and socially assistive robotics 🤖. Her focus includes neuroergonomics 🧠, behavioral adaptation, and the long-term cognitive impact of automation 🧩. She investigates how users interact, adapt, and trust machines in dynamic environments, contributing to safer and more intuitive systems 🔄. Projects like SHAPE-IT and SOCRATES explore these issues in practical contexts—bridging psychology, AI, and engineering 💡. Her research is critical for building ethical and human-responsive technology in public and private sectors 📈.

Awards & Honors

Naomi has received international recognition for her innovation and interdisciplinary research 🌍. She was a Marie Skłodowska-Curie Fellow 🇪🇺 under Horizon 2020, reflecting her excellence in collaborative EU research 🤝. Her impactful work on SHAPE-IT and SOCRATES has earned acclaim in academic and policy circles 🎓🏛️. Naomi’s peer-reviewed publications 📚 and public deliverables are widely cited and referenced. She has been nominated for the Best Researcher Award 🏆—a testament to her global contribution to intelligent systems, automation, and human-centered design 🚀. She continues to set standards in next-generation engineering and technology 🎖️.

Publication Top Notes

Title:
Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Technique:

Mbelekani, N. Y. (Year). Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Techniques. Conference Proceedings. School of Engineering and Design, Technical University of Munich.

Conclusion

Naomi Y. Mbelekani exemplifies the qualities of a world-class researcher: interdisciplinary depth, real-world application, international collaboration, and forward-thinking leadership. Her impactful work in the evolving domains of automation, human factors, and responsible AI directly contributes to safer, smarter, and more human-centric technologies.