Suleiman ZubairSZ

Engr. Dr. Suleiman Zubair

Rank: Associate Professor

Department: Telecommunications Engineering

School: School of Electrical Engineering & Technology

Biography

Dr. Suleiman Zubair, an Associate Professor in Telecommunication Engineering at the Federal University of Technology, Minna, leads the department with over 18 years of academic and professional experience. He earned his Ph.D. in Electrical Engineering from Universiti Teknologi Malaysia, an M.Eng., and a B.Eng. in Telecommunication Engineering from FUT Minna. Dr. Zubair is a renowned scholar and expert in Wireless Sensor Networks, Internet of Things (IoT), Embedded Systems, Wireless Communication, and 6G Cellular Systems. His research contributions have been featured in leading journals, reflecting his commitment to advancing telecommunication technologies and addressing challenges in developing regions. Beyond academia, Dr. Zubair is deeply involved in consultancy and community development projects.

Research Interests

Wireless Sensor Networks
Internet of Things (IoT)
Embedded Systems
Wireless Communication
Nano-Scale Communication
6G Cellular Systems
Software Defined Networking
Technological Development in Third World Countries. Biomedical Technology.

Academic Qualifications

Ph.D. Electrical Engineering (Telecommunication Engineering)

Universiti Teknologi Malaysia · 2015

M.Eng. Communication Engineering

Federal University of Technology Minna · 2010

B.Eng Electrical and Computer Engineering

Federal University of Technology Minna · 2003

Professional Affiliations

Member Council for The Regulation of Engineering in Nigeria (COREN) Reg. No. 20,589
International Association of Engineers (IAENG), (Member No: 138551)
Soft Computing Research Society (Member No: 2023-02-27-3815)

Teaching

Undergraduate Courses

CME 415Data Communications and Networks II
CME 515Computer Networks and Internets
CME 523Communication Systems Planning

Postgraduate Courses

CME 713Advanced Computer Communication Networks
CME 718Intelligent Sensors and Network
CME 728Wireless Communication Networks
CME 723Intelligent Systems and Applications

Supervision

Master's Degree

ANYIMONU Ben Cephas

Investigation of Compatibility Between IMTAdvanced Systems Operating in Band 3300 – 3400 MHz and Radiolocation Systems Operating in Adjacent Band Below 3300 MHz

2017
completed

FAPOHUNDA Kofoworola Omotolani

Bat Inspired Hidden Node Detection Algorithm and Collision Minimization Scheme for IEEE802.11AH Network

2018
completed

ABDULLAHI Hassan Musa

A cuckoo search optimization-based forward consecutive mean excision model for threshold adaptation in cognitive radio

2019
completed

YUSUFU Ramat Ubimago

High-quality multimedia content delivery in IEEE802.11

2019
completed

AGBOLA Kehinde Oyemade

Machine-to-Machine (M2M) communications in IEEE802.11

2019
completed

Doctor of Philosophy

YUSUFU Ramat Ubimago

Design of Reconfigurable Intelligent Surfaces with Metamaterials for Energy-Efficient and Affordable 5G/6G Connectivity in Open RAN Deployments for Underserved Communities in Nigeria

Aliyu, Idris Balarabe

A Novel Architecture for IoMT Vital Signs Monitoring Network for Remote Medical Diagnosis

JIBRIL Ibrahim

Development and Optimization of a Solar-Powered Smart-Drip Irrigation System for Tomato (lycopersicum esculentum) and Fluted Pumpkin (telfaira occidentalis).

IHEMELANDU John Chigbu

Development of a Broadband RF Energy Harvester Towards Always Powered Mobile Devices for Green 5G Networks

AHMAD Suleiman

2nd order masking with Nth degree truncated polynomial Ring unit against side channel attack of IoT devices

Chikezie Chekwas Ifeanyi

5G Internet of Things Network Anomaly Detection Using Deep Neural Network Models

Publications

1.

Adaptive Optimization of Diffuse Spot Intensities and Locations for Enhanced Performance in Indoor Visible-Light Optical Wireless Communications

David, M., Babadoko, A. B., S. Zubair, Usman, A. U., Morakinyo, A. D., Oyewobi, S. S., & Mathonsi, T. E.

Computers
2026
DOI
2.

Development of a Model for Prediction of IoT Processor Power Utilization Using Instruction Dissection-Based Technique

4. Yusuf, D. P., Ahmed, H. E., Onwuka, E. N., & S. Zubair

IEEE Access
2024
DOI