Prof. Dr. Mo Jamshidi | Engineering | Best Researcher Award

The University of Texas at San Antonio | United States

Prof. Dr. Mo Jamshidi is a globally recognized authority in systems engineering, intelligent systems, and system-of-systems engineering, with seminal contributions spanning soft computing, fuzzy logic, neural networks, robotics, and large-scale complex systems. His research integrates control theory, artificial intelligence, and computational intelligence to address challenges in autonomous systems, energy systems, cloud and cyber-physical infrastructures, and bioinformatics, including influential work on genome-scale metabolic networks. He has played a foundational role in defining and advancing system-of-systems as a discipline, shaping both theoretical frameworks and practical applications. His professional experience reflects sustained leadership in interdisciplinary research, authorship of landmark books, and mentorship that has influenced generations of researchers worldwide.

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Citations
16,907

i10-index
239

h-index
54

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Featured Publications

Global Reconstruction of the Human Metabolic Network Based on Genomic and Bibliomic Data

– Proceedings of the National Academy of Sciences

System of Systems Engineering: Innovations for the 21st Century

– IEEE & Wiley

Systems of Systems Engineering: Principles and Applications

– CRC Press

Prediction of cloud data center networks loads using stochastic and neural models

– IEEE & Pearson

Techno-Economic Analysis and Size Optimization of Hybrid Renewable Energy Systems

– Sustainable Cities and Society

Assist. Prof. Dr. Jamal Alotaibi | Engineering | Best Researcher Award

Department of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Dr. Jamal Alotaibi is an accomplished researcher and educator in the field of Computer Engineering. With expertise in IoT, AI, and security, he has contributed significantly to the advancement of Smart Transportation and Vehicle-to-Vehicle (V2V) communication. Currently serving as the Head of the Computer Engineering Department at Qassim University, his work focuses on secure and efficient computing frameworks for the Internet of Vehicles (IoV).

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Education 🎓

Ph.D. in Computer Engineering (2018 – 2022) – Wayne State University, USA
M.Sc. in Electrical and Computer Engineering (2016 – 2017) – Wayne State University, USA
B.Sc. in Computer Engineering (2008 – 2013) – Qassim University, KSA

Experience 👨‍🏫

Qassim University (2022 – Present) – Assistant Professor, now Head of the Computer Engineering Department (2024–Present)
Wayne State University (2016 – 2022) – Research Assistant in IoT and Security Labs
STC Company (2013) – Network Engineer
Consultations:
- Ford Motor Company (2020 – 2022) – Embedded Systems Consultant for Electric Vehicles
- Verizon Company (2021–2022) – V2V Infrastructure Consultant
- City of Detroit (2021–2023) – IoV Consultant