Metropolitan University

Md. Shadman Shakib

Lecturer

Biography

Md. Shadman Shakib is a Lecturer (Senior Grade) in the Department of Electrical and Electronic Engineering at Metropolitan University, Sylhet, Bangladesh. He received his B.Sc.Eng. and M.Sc.Eng. degrees in Electrical and Electronic Engineering from Noakhali Science and Technology University (THE: 1200-1500), graduating with distinction and ranking among the top students of his department. His research interests include machine learning, deep learning, computer vision, optical camera communication, smart grid systems, and IoT-based intelligent applications. He has published research articles in reputed international journals and conferences and is actively involved in UGC-funded research projects. Mr. Shakib teaches undergraduate courses in computer network, microprocessors, robotics, computer vision, and core electrical and electronic engineering subjects.

Education

Master of Science in Electrical and Electronic Engineering, Noakhali Science and Technology University

Bachelor of Science in Electrical and Electronic Engineering, Noakhali Science and Technology University

Award & Achievements

Research Activities

1.	Manuscript under preparation: M. S. Shakib, Kamaruzzaman, M.E.Ali, “Enhancing Smart Grid Stability and Energy Management using ML-Based Predictive Analytics.” 
2.	Manuscript under review: Dr. Nabil Hossain Bhuiyan, Md. Shadman Shakib, Kamaruz Zaman, Mohammad Saidul Arefin Taibin, Eman Hossen, Md. Eyakub Ali, Robin Khisa, “An AI-Powered Smartphone-Based Solution for Rice Leaf Disease Detection and a Smart Electronic Reporting System Integrating Deep Convolutional Neural Network and the Internet of Things.” 
3.	Manuscript under review: Md. Shadman Shakib, Md. Eyakub Ali, Nabil H. Bhuiyan, Kamaruzzaman, Badhan Dey, Md. Istihad Bhuiyan, Md. Hasibul Hoque, “MonoGRU: A Theoretical and Empirical Evaluation of a Streamlined Gated Recurrent Unit for Rainfall Forecasting.” 
4.	Accepted: Badhan Dey, Md. Istihad Bhuiyan, Md. Sabbir Ahmed, Md. Eyakub Ali, Md. Shadman Shakib, Fazlul Karim, “A Hybrid Prophet–LSTM Framework for Enhanced Monthly Rainfall Forecasting in Climate-Sensitive Regions: A Case Study of Cox’s Bazar, Bangladesh”, Accepted in: Undergraduate Conference on Intelligent Computing and Systems (UCICS 2026) Varendra University, Rajshahi, Bangladesh
5.	Accepted: Panna Shil, Md. Eyakub Ali, Md. Shadman Shakib, Md. Istihad Bhuiyan, Badhan Dey, Md. Hasibul Hoque, Fazlul Karim, “A Comprehensive Analysis and Rainfall Forecastingn Cox’s Bazar using Seasonal ARIMA Model”, Accepted in: 2025 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) 21-22 November 2025, Department of ICE, University of Rajshahi, Rajshahi-6205, Bangladesh.
6.	Accepted: N. H. Bhuiyan, M. S. Shakib, Z. Ferdousi, X. Li, M. T. Rahman, and S. Hossen, “EasyBatt: Simplifying Battery Optimization Process with an AI-Powered Data Organization and Visualization Tool”, Accepted in: International Conference on Electrical, Computer, and Energy Technologies (ICECET 2025), Paris, France. 
7.	Ahmed, M. F., Hossain, M. A., & Shakib, M. S. (2025). Deep learning based non-line of sight optical camera communication system designed for indoor applications. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-025-21063-y  
8.	Ahmed, M., Jaman, A., Islam, Md. N., Shakib, Md. S., & Amin, I. K. (2024). Identifying Optimal EV Charging Station Locations: A Smart Grid and Machine Learning Approach. 2024 13th International Conference on Electrical and Computer Engineering (ICECE), 97-102. https://doi.org/10.1109/icece64886.2024.11025023 
9.	Ali, M. E., Panna Shil, Shakib, M. S., Chanda, A., Khisa, R., Baten, M. A., & Ferdousi Mayoa. (2024). A Comparative Analysis of Rainfall Forecasting in Cox’s Bazar using SARIMA, LSTM and GRU. 2024 27th International Conference on Computer and Information Technology (ICCIT), 2671–2676. https://doi.org/10.1109/iccit64611.2024.11021778   
10.	Shakib, M. S., Ali, M. E., Khisa, R., Kamaruzzaman, & Bhowmik, S. (2024). Machine Learning Based Smart System for Blind and Visually Impaired People. 2024 2nd International Conference on Information and Communication Technology (ICICT), 204–208. https://doi.org/10.1109/icict64387.2024.10839742  
11.	Shakib, Md. S., Kamaruzzaman, Jaman, A., & Islam, Md. N. (2024). A Comprehensive Analysis of Multi-Modal Deep Transfer Learning for Rice Leaf Disease Detection. 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 1240–1245. https://doi.org/10.1109/iceeict62016.2024.10534555

Award

1.	University Merit Scholarship (at 5 semesters, during undergraduate) 
2.	Training on “Industrial Technology on Electrical Engineering and Instrumentation” (Grade: A+, 2021)
3.	Silver Award on Virtual Poster Presentation Organized by Bangladesh Research and Innovation Society (BRIS), 2020

Interests

Machine Learning

Artificial Intelligence and Deep Learning

Neural network architectures (CNN, RNN, LSTM, GRU) and Computer Vision

Applications in time-series forecasting, smart grid and renewable energy systems

Optical Camera Communication (OCC)

IoT-based assistive technologies

University

Leadership and Management

Faculty Members

Office Administration

Honours Programmes

Masters Programmes

Short Programmes

Departments

Academic Information

Admission

Facilities

Club & Organisations

Department of Electrical & Electronic Engineering