Abdul Manan Sheikh
Lecturer in Electronic and Communication Engineering College of Engineering
- Job Title
- Lecturer in Electronic and Communication Engineering
- College
- College of Engineering
- Ext.
- 1204
Dr. Abdul Manan Sheikh is an experienced academic, researcher, and electronics engineer with over 20 years of combined academic and industry experience. His professional career includes working as a digital design engineer before transitioning to higher education, where he has developed extensive experience in teaching, research, curriculum development, quality assurance, and academic program coordination.
Doctor of Philosophy (PhD), Electrical and Computer Engineering
Master of Technology (M.Tech.) in Electronics Design & Technology
Bachelor of Engineering in Electronics & Communication
Research interests include hardware security, Physical Unclonable Functions (PUFs), FPGA-based computing, embedded systems, IoT security, edge computing, and machine learning for hardware security.
Journal paper
Honnurvali MS, El-Saleh AA, Sheikh AM, Goh K, Gupta N, Umar T. Sustainable Engineering higher education in Oman-lessons learned from the pandemic (COVID-19), improvements, and suggestions in the teaching, learning and administrative framework. Journal of Engineering Education Transformations. 2022 Jan 22;35(3).
Albreem MA, Sheikh AM, Bashir MJ, El-Saleh AA. Towards green Internet of Things (IoT) for a sustainable future in Gulf Cooperation Council countries: current practices, challenges and future prospective. Wireless Networks. 2022 Oct 4:1-29.
https://doi.org/10.1007/s11276-022-03133-3M. A. Albreem, A. M. Sheikh, M. H. Alsharif, M. Jusoh, and M. N. Mohd Yasin, "Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges," in IEEE Access, vol. 9, pp. 38833-38858, 2021, doi: 10.1109/ACCESS.2021.3061697.
10.1109/ACCESS.2021.3061697.Honnurvali Mohamed Shaik, Adnan Kabbani, Abdul Manan Sheikh, Keng Goh, Naren Gupta, Tariq Umar. Measurement and validation of polysilicon photovoltaic module degradation rates over five years of field exposure in Oman[J]. AIMS Energy, 2021, 9(6): 1192-1212. doi: 10.3934/energy.2021055
10.3934/energy.2021055Conference paper
A. Manan, "Efficient 16 nm SRAM Design for FPGA’s," 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2018, pp. 457-461, doi: 10.1109/SPIN.2018.8474069.
10.1109/SPIN.2018.8474069.,FHEA: Fellow of Advance HE, United Kingdom | 2025 (Fellowship reference: PR333407)
IEEE: Member, Institute of Electrical and Electronics Engineers (Membership Number: 97624738)
IET: Member, Institution of Engineering and Technology (Membership Number: 1101029059)
Principal Investigator (PI) | A’Sharqiyah University, Oman March 2024 – February 2026
• Contributed to a USD 13,000 research project on developing a hardware-aware machine learning-based intrusion detection framework for IoT networks. Investigated device-level hardware characteristics and behavioral signatures for detecting anomalous and malicious activities, with emphasis on lightweight security mechanisms suitable for resource-constrained IoT devices. The work involved exploring machine learning techniques for hardware-based feature analysis and developing approaches to enhance the security, reliability, and resilience of IoT systems.