Mervat Madi | Electrical | Best Researcher Award

Assist. Prof. Dr. Mervat Madi | Electrical | Best Researcher Award

Adjunct Faculty | University of Wollongong in Dubai | United Arab Emirates

Assist. Prof. Dr. Mervat Madi is an accomplished Assistant Professor and Associate Researcher specializing in Electrical and Electronics Engineering with extensive experience in education and research. She has developed a strong record in mentoring graduate students, securing research funding, and publishing in high-impact scientific journals. Her research expertise spans radio frequency and telecommunications, including advanced antenna design, waveguide technology, reconfigurable antennas, and biomedical sensors, with notable contributions to compact, frequency-reconfigurable Wi-Fi antennas and RF frontend modules for automotive radar. She has held academic positions across several international universities, teaching a wide range of courses in electrical engineering, mathematics, data science, and computer programming, while actively guiding students in research, dissertations, and practical applications. Dr. Madi is proficient in emerging technologies and software tools including Ansys HFSS, CST Studio, COMSOL Multiphysics, ADS Keysight, MATLAB, Python, C++, and LabVIEW, and integrates student-centered, experiential, and technology-driven approaches in her pedagogy. She has participated in numerous international research collaborations, conferences, and workshops, enhancing knowledge exchange in fusion energy, electromagnetics, and applied engineering fields. Beyond academia, she has co-founded a wellness initiative, emphasizing the integration of well-being and personal development alongside professional growth. Fluent in English and experienced in multicultural collaboration, she is committed to advancing student learning, fostering innovation, and bridging academic research with industry needs, supporting technological advancement and societal impact through education, mentorship, and applied engineering research.

Profile: Scopus | Orcid

Featured Publications

ElAbbasi, M. K., Madi, M., Kabalan, K. Y., & Salah, J. (2025). Optimizing microstrip patch antenna performance: Leveraging machine learning for comparative analysis of antenna dimensions and slot structures. Results in Engineering.

Salah, J., Madi, M., El Abbasi, M., Moussa, M., Daher, A., Hussein, M., & Kabalan, K. (2025). Burj Khalifa‐inspired reconfigurable microstrip patch antenna for wireless solutions. Radio Science.

Nakad, A. A., Madi, M., Aaker, O., Ntantis, E. L., & Kabalan, K. Y. (2023). Comparing supercapacitors to lithium-ion batteries through measurements and simulations. IET Conference Proceedings.

Khaled, L., Islam, S., Madi, M., Maaraoui, S., & Kabalan, K. Y. (2023). Design of a double pass shell and tube heat exchanger for marine application with COMSOL Multiphysics. In Proceedings of the 2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS 2023).

Abdaljabar, J. S., Madi, M., Al-Hindawi, A., & Kabalan, K. (2023). Design of fractal COVID-19 microstrip patch antenna array for wireless applications. In Fractal Signatures in the Dynamics of an Epidemiology: An Analysis of COVID-19 Transmission.

Jamal Alotaibi | Engineering | Best Researcher Award

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

Google Scholar

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

Research Interests 🔬

  • Internet of Vehicles (IoV) and Fog Computing

  • Software-Defined Networking (SDN) for Smart Transportation

  • Blockchain-based Security Solutions

  • Machine Learning for Secure Communication Systems

Awards 🏆

  • Head of IoT Research Lab – Wayne State University

  • Head of Research Committee – Qassim University (2023 – Present)

Publications Top Notes: 📚

SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021

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A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles

IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021

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PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain

IEEE World AI IoT Congress, 2022

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Insight into IoT Applications and Common Practice Challenges

Insight Journal, 2022

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A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

SDN-Enabled Efficient Resource Utilization in a Secure, Trustworthy and Privacy Preserving IOV-Fog Environment