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).
Profile
Education π
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Ph.D. in Computer Engineering (2018 β 2022) β Wayne State University, USA
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M.Sc. in Electrical and Computer Engineering (2016 β 2017) β Wayne State University, USA
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B.Sc. in Computer Engineering (2008 β 2013) β Qassim University, KSA
Experience π¨βπ«
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Qassim University (2022 β Present) β Assistant Professor, now Head of the Computer Engineering Department (2024βPresent)
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Wayne State University (2016 β 2022) β Research Assistant in IoT and Security Labs
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STC Company (2013) β Network Engineer
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Consultations:
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Ford Motor Company (2020 β 2022) β Embedded Systems Consultant for Electric Vehicles
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Verizon Company (2021β2022) β V2V Infrastructure Consultant
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City of Detroit (2021β2023) β IoV Consultant
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Research Interests π¬
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Internet of Vehicles (IoV) and Fog Computing
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Software-Defined Networking (SDN) for Smart Transportation
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Blockchain-based Security Solutions
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Machine Learning for Secure Communication Systems
Awards π
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Head of IoT Research Lab β Wayne State University
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Head of Research Committee β Qassim University (2023 β Present)
Publications Top Notes: π
SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain
IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021
A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles
IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021
PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain
IEEE World AI IoT Congress, 2022
Insight into IoT Applications and Common Practice Challenges
Insight Journal, 2022