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Abdul Manan Sheikh

Abdul Manan Sheikh

Lecturer in Electronic and Communication Engineering College of Engineering

Contact Details
Job Title
Lecturer in Electronic and Communication Engineering
College
College of Engineering
Ext.
1204
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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

2026 Explainable AI with EDA for V2I path loss prediction https://www.nature.com/articles/s41598-026-34987-8
2026 Securing IoT Networks Using Machine Learning-Resistant Physical Unclonable Functions (PUFs) on Edge Devices https://www.mdpi.com/2673-8732/6/1/6
2026 Federated learning-based distributed solar forecasting for smart buildings in Muscat, Oman using GRU networks https://www.mdpi.com/1996-1073/19/11/2496
2025 The Internet of Medical Things (IoMT): opportunities and challenges https://link.springer.com/article/10.1007/s11276-024-03764-8
2025 Research on Very Short-Term Wind Power Predicting Using Artificial Neural Networks 10.15866/irea.v13i2.25374
2025 A Survey on Edge Computing (EC) Security Challenges: Classification, Threats, and Mitigation Strategies https://www.mdpi.com/1999-5903/17/4/175
2025 Integrating Physical Unclonable Functions with Machine Learning for the Authentication of Edge Devices in IoT Networks https://www.mdpi.com/1999-5903/17/7/275
2024 Development of wind and solar systems for power charging: Anapplication of an electric vehicle to grid systems https://www.aimspress.com/aimspress-data/aimse/2024/3/PDF/energy-12-03-031.pdf
2024 Securing the IoT Edge Devices Using Advanced Digital Technologies https://alambiblio.com/ojs/index.php/ajoeee/article/view/69
2022

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).

2022

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/s11276-022-03133-3
2021

M. 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.
2021

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.2021055

Conference paper

2023 Machine Learning (ML) assisted Edge security framework on FPGAs https://ieeexplore.ieee.org/document/10246095
2022 Towards a Sustainable Environment with a Green IoT: An Overview https://ieeexplore.ieee.org/document/10046164
2018

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.