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                                                            Leave                    Md Abdur Rahman, BSc (JU), MS - Computational Science (Texas A&M Uni-Commerce., USA) Professor, Department of Mathematics
PROFILE
SHORT BIOGRAPHY
I am a Ph.D. Candidate (ABD) in Intelligent Systems and Robotics at the University of West Florida, and professor at Jahangirnagar University, (study leave) with a decade of experience. I bring a wealth of knowledge to my teaching of machine learning, deep learning, image processing, data structures, C++, python, marketing analytics, big data marketing, MIS, courses. Previously, I obtained an M.S. in Computational Science from East Texas A&M University, Commerce in 2014 and a B.Sc. in Electronics and Computer Science from Jahangirnagar University in 2001. Currently, I focus to take advantages of using agentic AI and Large Language Models (LLMs) to my research. My research interests include Cybersecurity & Healthcare (Agentic AI, LLMs, Big Data, Quantum ML & Dynamic Analysis) and I publish in top machine learning conferences such as WISE, CAI, COMPSAC, Big Data conference, etc.
RESEARCH INTEREST
Cyber Security; Multi-Agent Path Planning; Classical Machine Learning/Quantum Machine Learning; Image Processing;
JOURNAL PAPER
- Rahman, M. A., Francia, G. A., & Shahriar, H. (2025). Leveraging GANs for Synthetic Data Generation to Improve Intrusion Detection Systems. Journal of Future Artificial Intelligence and Technologies, Vol. 1 No. 4 (2025): March 2025.
- Rahman, Md Abdur, Tarafder Md. Mehedi Al Masud and Purba Biswas. “Prediction of electric energy consumption using recurrent neural networks.” International Journal of Smartcare Home, Global Vision Press (July 2021), Australia.
- Rahman, Md Abdur. “Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms.” International Journal of Smart Home, Global Vision Press 14.2 (2020): 15-24, Australia.
- Rahman, Md Abdur. “Deep Learning Approaches for Tomato Plant Disease Detection.” International Journal of Hybrid Information Technology, Global Vision Press 13.2 (2020): 71-78, Australia.
- Rahman, Md. Abdur. "Influence of Increasing Number of Epochs on Electric Power Consumption Dataset." International Journal of Scientific & Engineering Research 11.12(2020): 123-128, India.
- Rahman, Md. Abdur. "Machine Learning for the Classification of Rice Plant Diseases." International Research Journal of Modernization in Engineering Technology & Science 2.8(2020): 1209-1215, India.
- Rahman, Md. Abdur. "Artificial Potential Field Approach to Escape Local Minimum Problem Using Regression Search Method." International Research Journal of Modernization in Engineering Technology & Science 2.10(2020): 839-846, India.
- Azad, Md. Abul Kalam, Rahman, Md. Abdur, and Khatun, Amina. "An Energy-Efficient Slotted MAC for the Real-time Applications in Industrial Wireless Sensor Networks." International Journal of Electronics Communication and Computer Engineering 8.1(2017): 69-75, India.
- Azad, Md. Abul Kalam, Rahman, Md. Abdur and Khatun, Amina. "A Skewed Slot Scheduling Approach For Real-Time Data Transmission in Industrial Wireless Sensor Networks." International Journal of Engineering Sciences & Research Technology 6.3(2017): 510-520, India.
- Azad, Md. Abul Kalam, Khatun, Amina, and Rahman, Md. Abdur. "A Slotted-sense Streaming MAC for Real-time Data Transmission in Industrial Wireless Sensor Networks." International Journal of Advanced Engineering Research and Science 4.3(2017): 236-244, India.
CONFERENCE PAPER
Recent Published Conference Papers:
- Rahman, M. A., Shahriar, H., Wu, F., & Cuzzocrea, A. (2024, September). Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection. In 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), Michigan, USA (pp. 1-7). IEEE.
- Rahman, Md Abdur, and Shahriar, Hossain. (2023, December). “Clustering Enabled Robust Intrusion Detection System for Big Data using Hadoop-PySpark”, 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET), Boca Raton, Florida, USA -(accepted & presented at Dec 6, 2023).
- Akter, Shapna., Rahman, Md. Abdur., Shahriar, Hossain., Rahman, Muhammad. (2023, December). Early Prediction of Cryptocurrency Price Decline: A Deep Learning Approach. IEEE 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh- (accepted & presented at Dec 14, 2023).
- Rahman, Md. Abdur., Shahriar, Hossain., Clincy, Victor., Hossain, Md. Faruque., Rahman, Muhammad. (2023, June). A Quantum Generative Adversarial Network-based Intrusion Detection System. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC-2023), Torino, Italy.
- Hossain, Mosaddeq, Rahman, Md Abdur. “Brain Tumor Detection Using Deep Network EfficientNet-B0” International Conference on Machine Intelligence and Emerging Technologies (MIET 2022) September 23-25, 2022 Noakhali Science and Technology University (NSTU), Noakhali, Bangladesh (Springer).
- Suh, Sang C., Rahman, Md. Abdur. “Power Consumption Analysis Using LSTM Neural Networks For Residential Building”, 2022 International Symposium on Innovation in Information Technology and Application, Jeju Island, South Korea, Feb 10-12, 2022.
- Suh, Sang C., Rahman, Md. Abdur}, Kim, Jinoh. “A Path Planning Technique to Avoid Collisions For Multi-Agent Using Improved Artificial Potential Field Based Regression Search Method”, SDPS 2018 BOLOGNA Workshop (Society for Design and Process Science), Bologna, Italy, December 6-7, 2018.
- Rahman, Md. Abdur, Hoque, Mohammad Abdul. “Markovian Decision Process Analysis on Traffic Congestion at Dhaka City”, 2018 International Conference on Recent Advances in Mathematical and Physical Sciences, Bangladesh, January 27-29, 2018.
- Rahman, Md. Abdur, Azad, Md. Abul Kalam. “To Escape Local Minimum Problem for Multi-Agent Path Planning using Improved Artificial Potential Field-Based Regression Search Method”, International Conference on Information Technology (ACM Digital Library), Singapore”, December 27-29, 2017.
WORKSHOP
Academic Info
Period: January 2024-
Period: 1996-2001
Period: 2012-2014
Experience
Position: Lecturer -- Professor
Period: October 2002-Present
Position: Graduate Teaching Assistant
Period: August 2012 - May 2014
Contact
Md Abdur Rahman, BSc (JU), MS - Computational Science (Texas A&M Uni-Commerce., USA)
                            Professor
                             Department of Mathematics 
                            Jahangirnagar University, Savar, Dhaka-1342, Bangladesh.
                                                        Cell Phone: +8801977446477
                                                                                    Work Phone: PABX: 880-2-7791045-51 (EXT- 1423), Fax: 880-2-7791052
                            
                            Email: marahmanju@juniv.edu
                            , marahmanju@gmail.com                            
                        
 
                    