About
I am currently pursuing my Ph.D. in Computer Engineering at Clemson University in the Holcombe Department of Electrical and Computer Engineering. My doctoral research is conducted in the Intelligent Systems and Wireless Networking (IS-WiN) Laboratory under the guidance of Dr. Fatemeh Afghah, focusing on advanced machine learning, artificial intelligence, and wireless communications.
I am also completing my Master of Science in Engineering (MSE) in Electrical Engineering at The University of Alabama in Huntsville, expected to graduate in December 2025. During my master's studies, I have been affiliated with the Networking, Intelligence and Security (NIS) Laboratory, advised by Dr. Dinh C. Nguyen, where I conducted research on federated learning, quantum computing, and privacy-preserving systems.
I completed my B.Sc. in Electronics and Telecommunication Engineering from Daffodil International University in Dhaka under advisor Dr. Md. Taslim Arefin. Since then, I have been deeply involved in research spanning machine learning, artificial intelligence, privacy & security, and wireless communications.
Since 2015, I have been an active IEEE member, contributing to the Bangladesh Chapter and the IEEE Region 3, Huntsville Section. My role in IEEE has allowed me to bridge communities and enhance student engagement through numerous conferences and events across Bangladesh, India, and Nepal.
I am passionate about creating platforms for intellectual exchange, demonstrated by my role as Head Organizer of TEDxUA Huntsville 2025, and my leadership as President of the UAH Bangladeshi Student Association (2024-2026) and Secretary of the UAH Graduate Student Association (2024-2025). I also serve as a peer reviewer for top-tier journals including IEEE Internet of Things Journal and ACM Computing Surveys.
Publications
SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
R. Rahman, A. Pokharel, M. R. Uddin, D. C. Nguyen
IEEE International Conference on Quantum Computing and Engineering, 2025
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
M. R. Uddin, R. Rahman, D. C. Nguyen
IEEE Consumer Communications & Networking Conference (CCNC), 2025
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
V. K. Quy, N. M. Quy, T. T. Hoai, S. Shaon, M. R. Uddin, D. C. Nguyen, T., & P. Chatzimisios
IEEE Conference on Standards for Communications and Networking (CSCN), 2024
Enterprise Network: Security Enhancement and Policy Management Using Next-Generation Firewall (NGFW)
M. Arefin, M. R. Uddin, N. A. Evan, M. R. Alam, et al.
Computer Networks, Big Data and IoT, Springer, 2021, pp. 753–769
Analysis of Generic Routing Encapsulation (GRE) over IPSec VPN Tunneling in IPv6 Network
M. Uddin, N. A. Evan, M. R. Alam, M. Arefin, et al.
International Conference on Ubiquitous Communications and Network Computing, Springer, 2021, pp. 3–15
Performance Analysis of SDN-based Intrusion Detection Model with Feature Selection Approach
S. K. Dey, M. R. Uddin, M. Rahman, et al.
Proceedings of International Joint Conference on Computational Intelligence, Springer, 2020, pp. 483–494
Performance Optimization of Layered Signature Based Intrusion Detection System Using Snort
N. F. Firoz, M. Arefin, M. R. Uddin, et al.
International Conference on Cyber Security and Computer Science, Springer, 2020, pp. 14–27
Artificial Neural Network Inducement for Enhancement of Cloud Computing Security
M. R. Uddin, K. M. Kabir, and M. T. Arefin
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), IEEE, 2019, pp. 1–6
Detection of Flow Based Anomaly in OpenFlow Controller: Machine Learning Approach in Software Defined Networking
S. K. Dey, M. M. Rahman, and M. R. Uddin
2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), IEEE, 2018, pp. 416–421
Enhancing the Security of Cloud Computing: Genetic Algorithm and QR Code Approach
S. K. Dey, M. R. Uddin, K. M. Kabir, and M. M. Rahman
2017 4th International Conference on Advances in Electrical Engineering (ICAEE), IEEE, 2017, pp. 181–186
Data Security Through Image Processing by Blowfish Algorithm, Genetic Algorithm and LSB
M. R. Uddin, K. M. Kabir, and M. M. Hasan
Foundation of Computer Science, vol. 148, 2016
Unmanned Aerial Vehicles (UAVs): A State of the Art Survey
M. R. Uddin, D. C. Nguyen
Submitted to IEEE Communications Surveys & Tutorials
Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs
M. B. Zami, M. R. Uddin, D. C. Nguyen
Submitted to IEEE Internet of Things Journal
Aerial Intelligent Reflecting Surface (A-IRS) for Wireless Power Transfer in 6G Networks: Security Challenges and Solutions
V. K. Quy, S. Shaon, M. R. Uddin, N. M. Quy, D. C. Nguyen
Submitted to IEEE Network Magazine
Synergy Quantum Federated Learning and Security
M. R. Uddin, R. Rahman, D. C. Nguyen
Submitted to IEEE International Conference on Quantum Computing & Engineering (QCE)
Quantum Federated Learning: A Comprehensive Survey
M. R. Uddin, D. C. Nguyen
Submitted to IEEE Communications Surveys & Tutorials
SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
R. Rahman, A. Pokharel, M. R. Uddin, D. C. Nguyen
Submitted to IEEE Transactions on Quantum Engineering
Quantum Federated Learning in AI-Native 6G Wireless Networks
S. Shaon, M. R. Uddin, D. C. Nguyen
Submitted to IEEE Network Magazine
