Md Abdur Rahman, BSc (JU), MS - Computational Science (Texas A&M Uni-Commerce., USA)
Md Abdur Rahman, BSc (JU), MS - Computational Science (Texas A&M Uni-Commerce., USA) Professor, Department of Mathematics

PROFILE

SHORT BIOGRAPHY

Md. Abdur Rahman is currently working as a professor at the Department of Mathematics, Jahangirnagar University, Bangladesh. He received B.Sc. degree in Electronics & Computer Science from the same university in 2001, and MS degree in Computational Science from Texas A&M University-Commerce, TX, USA, in 2014. Mr. Rahman experienced working as a graduate teaching assistant from Aug 2012 to May 2014 at Texas A&M University, Commerce, TX, USA successively. Also, he worked in same position in South Dakota School of Mines & Technology, Rapid City, SD for Jan 2012 to May 2012. He did Master’s of Science thesis on “Multi-Agent Coordinated Path Planning using Improved Artificial Potential Field-Based Regression Search Method”.

His specialization is on Machine Learning, Cyber Security, and Robotics, and his research interests include Malware Detection/Energy Consumption Prediction/Image Processing using Machine Learning/Deep Learning,  Multi-Agent Path Planning. Research interest includes Robotics, Cyber security, Machine Learning, Big Data Analytics, Image Processing, and Bio-informatics. 

Currently, Mr. Rahman is focusing to do research on the analysis and prediction of energy consumption using time-series datasets (millions of observations), Malware Detection using machine learning & deep learning approaches (python, pandas, scikit-learn, Keras). Mr. Rahman is well capable to handle python libraries to implement his idea for papers. 

 

RESEARCH INTEREST

Cyber Security; Multi-Agent Path Planning; Classical Machine Learning/Quantum Machine Learning; Image Processing; 

JOURNAL PAPER

  1. 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.
  2. 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. 
  3. 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. 
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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: 

  1. 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).  
  2. 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). 
  3. 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. 
  4. 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). 
  5. 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.
  6. 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.
  7. 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.
  8. 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

Institute: B.Sc. in Electronics & Computer Science, Jahangirnagar University, Savar, Dhaka, Bangladesh
Period: 1996-2001

Institute: MS in Computational Science (Intelligent Systems Track) at Texas A&M University, Commerce, USA
Period: 2012-2014

Experience

Organization: Jahangirnagar University, Bangladesh
Position: Lecturer -- Professor
Period: October 2002-Present
Organization: Texas A&M University, Commerce, TX, USA
Position: Graduate Teaching Assistant
Period: August 2012 - May 2014
Organization: South Dakota School of Mines & Technology
Position: Graduate Teaching Assistant
Period: Jan 2012 - May 2012

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

USEFUL LINKS
ADMISSION LINKS
OTHERS
Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. Telephone: PABX:02224491045-51 , Fax:02224491052
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