Dr. Md. Atiqur Rahman

Assistant Professor
Department of Computer Science & Engineering

Faculty

Faculty of Sciences and Engineering

Address

A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh

Office

Ext: 370 || Room No# 260
atiqur.rahman@ewubd.edu

Academic Background

Ph.D. in Computer Science and Engineering, The University of Aizu, Japan
M.Sc. in Computer Science and Engineering, University of Rajshahi, Bangladesh
B.Sc. in Computer Science and Engineering , University of Rajshahi, Bangladesh

Dr. Md. Atiqur Rahman is currently serving as an Assistant Professor in the Department of Computer Science and Engineering (CSE) at East West University, Dhaka, Bangladesh. He completed his B.Sc. and M.Sc. in Computer Science and Engineering from the University of Rajshahi, Bangladesh, and earned his Ph.D. in Computer Science and Engineering from the University of Aizu, Japan, in 2022.

Dr. Rahman is a skilled programmer and an accomplished researcher with a strong background in programming contests. He has participated in several online programming platforms, including LightOJ, UVA Online Judge, URI Online Judge, CodeMarshal, and Codeforces, where he has solved numerous complex programming problems. He has also hosted multiple programming contests on HackerRank for students and organized multiple machine learning competitions on Kaggle, providing students with practical opportunities to develop their programming, problem-solving, and machine learning skills. He has gained substantial industry experience both locally and internationally. During his Ph.D. studies, Dr. Rahman was awarded 576,000 yen for his outstanding research contributions.

His research interests span machine learning, deep learning, image processing, and data science. Dr. Rahman has published numerous peer-reviewed articles in internationally recognized journals and conferences. He has also received several research grants from both domestic and international sources. His academic service includes roles as a co-chair, TPC member, reviewer, session chair, and moderator at various international conferences.

Dr. Rahman’s career reflects a strong commitment to advancing computer science and engineering through teaching, programming, competitive learning, and research, with a particular focus on both theoretical and applied aspects of machine learning and deep learning.

Professional Experience

Teaching Experience

Assistant Professor, Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh (2023 – Present)
Visiting Professor, Department of Computer Science and Engineering, Assam Down Town University (ADTU), Assam, India (2022)
Research Assistant (April, 2019 -March, 2022), School of Computer Science and Engineering, The University of Aizu, Japan
Teaching Assistant (April, 2019 -March, 2022), School of Computer Science and Engineering, The University of Aizu, Japan
Assistant Professor, Department of Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh (2015-2022)
Lecturer, Department of Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh (2012-2015)

Software Development Experience

Three years of experience as a Software Developer in the IT industry, working in both Japan and Bangladesh

Invited Talks

Topic: How to Think When Creating an AI Model? Organizer: Department of Computer Science and Engineering, East West University Vanue: S.M. Nousher Ali Lecture Gallery, East West University, Dhaka, Date:16/07/2025

Topic: How to create an AI model? Organizer: Department of Computer Science and Engineering, Daffodil International University Vanue: International Conference Hall, Daffodil International University, Dhaka, Date: 06/05/2023

Research Interest

Machine Learning
Deep Learning
Image processing

Selected Publications

Md Atiqur Rahman, Md Nawab Yousuf Ali, Fatema Tuj Johora, Aliza Ahmed Khan, Mohammad Nurul Huda, Securing Aviation Networks: A Generalized and Robust Machine Learning Solution for Monitoring Abnormalities in Commercial Aircraft, Results in Engineering, Elsevier, 2026, 108884, ISSN 2590-1230, 10.1016/j.rineng.2025.108884. (Q1, IF 9.4, Cite Score 8.8)
Md. Atiqur Rahman, Touhid Bhuiyan, M. Ameer Ali, 2025. Enhancing aviation safety: Machine learning for real-time ADS-B injection detection through advanced data analysis. Alexandria Engineering Journal, 126, pp.262-276, DOI: https://doi.org/10.1016/j.aej.2025.04.045. (Q1, IF 6.4, Cite Score 12.9)
Md Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md Mafiul Hasan Matin, M Ameer Ali, Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches, IEEE Access, 2025, ISSN 2169-3536, 10.1109/ACCESS.2025.3535535 . (Q1, IF 4.2, Cite Score 9.3)
Md. Atiqur Rahman, Mohamed Hamada, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Nafees Imran, Khadijatul Kobra, Md Ridwan Ahmed, Md Rabbi, Md. Mafiul Hasan Matin and M. Ameer Ali, Enhancing Early Breast Cancer Detection through Advanced Data Analysis., IEEE Access, 2024, ISSN 2169-3536, 10.1109/ACCESS.2024.3483095. (Q1, IF 4.2, Cite Score 9.3)
Md. Atiqur Rahman and Mohamed Hamada, 2021. PCBMS: A Model to Select an Optimal Lossless Image Compression Technique. IEEE Access, pp.167426 - 167433, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2021.3137345 (Q1, IF 4.2, Cite Score 9.3)
Md. Atiqur Rahman, M. Saddam Hossain Khan,Yutaka Watanobe, Jarin Tasnim Prioty, Tasfia Tahsin Annita, Samura Rahman, Md. Shakil Hossain, Saddit Ahmed Aitijjo, Rafsun Islam Taskin, Victor Dhrubo, Abubokor Hanip and Touhid Bhuiyan, Advancements in Breast Cancer Detection: A Review of Global Trends, Risk Factors, Imaging Modalities, Machine Learning, and Deep Learning Approaches, BioMedInformatics, MDPI, 2025, ISSN 2673-7426. (Q1, IF 3.6, Cite Score 7.1)
Md. Atiqur Rahman, Mohamed Hamada, 2022. A prediction-based lossless image compression procedure using dimension reduction and Huffman coding, Multimedia Tools and Applications, Springer. DOI: 10.1007/s11042-022-13283-3 (Q1, IF 3.0)
Md. Atiqur Rahman, Mohamed Hamada and Jungpil Shin, 2021. The Impact of State-of-the-Art Techniques for Lossless Still Image Compression. Electronics, 10(3), p.360. DOI:10.3390/electronics10030360, (Q1, IF 2.9, Cite Score 7.0)
Md. Atiqur Rahman, Mohamed Hamada, 2020. Burrows-Wheeler Transform Based Lossless Text Compression Using Keys and Huffman Coding. Symmetry, 12(10), p.1654. DOI:10.3390/sym12101654, (Q1, IF 2.2, Cite Score 5.2)
Md. Atiqur Rahman, Mohamed Hamada Rahman, 2019. Lossless Image Compression Techniques: A State-of-the-Art Survey. DOI: 10.3390/sym11101274, Symmetry, 11(10), p.1274. (Q1, IF 2.2, Cite Score 5.2)
Md Hasanul Ferdaus, Rizvee Hassan Prito, Masud Ahmed, Mohammad Manzurul Islam, Md Sawkat Ali, Muhammad Ibrahim, Ahmed Abdal Shafi Rasel, Maheen Islam, Taskeed Jabid, Md Atiqur Rahman, Md Mizanur Rahoman, MangoImageBD: An Extensive Mango Image Dataset for Identification and Classification of Various Mango Varieties in Bangladesh, Data in Brief, Elsevier, 2025, 111908, ISSN 2352-3409. (Q1, IF 1.9, Cite Score 3.4)
Mohammad Manzurul Islam, Sanjida Rahman, Nahida Hoque, Md. Al Mamun, Md. Sultan Moheuddin, Md. Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Saleh Masum, Md. Hasanul Ferdaus, Nishat Tasnim Niloy, Md. Atiqur Rahman, REMP: A Unique Dataset of Rare and Endangered Medicinal Plants in Bangladesh for Sustainable Healing and Biodiversity Conservation., Data in Brief, 2024, 110895, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110895. (Q1, IF 1.9, Cite Score 3.4)
Md. Atiqur Rahman and M.M. Fazle Rabbi, DWT-SVD based New Watermarking Idea in RGB Color Space, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.6 (2015), pp.193-198. (Scopus)
Khadijatul kobra, Md. Atiqur Rahman, Mohammad Shah Shuja Bin Jabber, Syeda Maria Rahman, Nafees Imran, Izaz Ahmmed Tuhin, and Md Faisal Kabir, An application of fuzzy logic to Bank ranking: A study of the banking sector in Bangladesh, International Journal of Recent Technology and Engineering, 2023. (Scopus)
Md. Atiqur Rahman and MM Fazle Rabbi, Challenges and Solutions in Selecting Optimal Lossless Data Compression Algorithms, 2025, eprint:2509.25219,arXiv.org, url: https://arxiv.org/abs/2509.25219
Md. Atiqur Rahman, M.M. Fazle Rabbi, and Md.Azimul Islam, Dynamic Hand Gesture recognition from a complex background and finger identification using RGB colours, International Journal of Computer Science & Engineering Technology (IJCSET),Vol. 9 No. 03 May-Jun 2018, online ISSN : 2229-3345, Page 46-50.
Md. Atiqur Rahman and M.M. Fazle Rabbi, Non-Blind DWT-SVD based Watermarking Technique for RGB Image, Global Journal of Researches in Engineering: F Electrical and Electronics Engineering Volume 15 Issue 4 Version 1.0 Year 2015 Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4596 & Print ISSN: 0975-5861.
M. M. Fazle Rabbi and Md. Atiqur Rahman, 2019. Dictionary based image compression by removing MSB and LSB using Huffman coding, BUBT Journal, Vol.BUBT Journal 2019, pp.139-151, ISSN: 2072-7542.
Md. Ashfakur Rahman, M. Ameer Ali and Md. Atiqur Rahman, 2019, Unsupervised Classification Based Object Recognition Using Deep Convolutional Neural Networks, BUBT Journal, Vol.BUBT Journal 2019, pp.152-169, ISSN: 2072-7542.

T M Amir Ul Haque Bhuiyan, Md Abu Obida, Sithi Debnath, Snigdha Paul Suppri, Nahida Parvin, Md. Shobuz Hossain, Md. Anwar Hussen Wadud, Md. Atiqur Rahman, T M Amir - Ul - Haque Bhuiyan, A Customized Stacked Ensemble Framework Integrating Deep Learning and Transfer Learning for Multi-Class Cattle Disease, 11th IEEE International Conference on Computer Science and Digital Engineering (IEEE CSDE 2026)
Ahmed , Afra Sultana, Md. Atiqur Rahman, T. M. Amir - Ul - Haque Bhuiyan, M Ameer Ali, Interpretable Short-Term Electricity Demand Forecasting for the PGCB Grid Using Feature Fusion, 11th IEEE International Conference on Computer Science and Digital Engineering (IEEE CSDE 2026)
Shaha, S. P., Ahmed, A., Ahmad, M. H., Akhi, A. B., Badhan, M. H., & Rahman, M. A., “Diff-AS: Diffusion-Augmented Strategy for Chrysanthemum Leaf Classification,” in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026.
Ferdaus, M. H., Prito, R. H., Ahmed, M., Rahoman, M. M., Islam, M. M., Ali, S., Islam, M., Rasel, A. A. S., Rahman, M. A., Jabid, T., & Ibrahim, M. (2024). MangoImageBD: An extensive image dataset of common and popular mango varieties in Bangladesh for identification and classification (Version 2) [Data set]. Mendeley Data. https://doi.org/10.17632/hp2cdckpdr.2
Md. Atiqur Rahman, Israt Jahan Payel, Mariyam Bin Ayan, Md. Asraful Sharker, Sajib Bin Mamun, Clinical Laboratory Data-Based Bladder Cancer Prediction Using Machine Learning Approach, 4th International Conference on Electrical, Computer and Communication Engineering, 2025, Bangladesh.
Md. Atiqur Rahman, Mariyam Bin Ayan, Sajib Bin Mamun, Israt Jahan Payel, Md. Asraful Sharker Nirob, Early Detection of Autism Spectrum Disorder in Toddlers: A Fast and Efficient Machine Learning Approach, 4th International Conference on Electrical, Computer and Communication Engineering, 2025, Bangladesh
Md Jakaria Zobair, Md. Atiqur Rahman, Md. Shakhawath Hossain, Nusrat Khan, Md Atik Asif Khan Akash,Md Hasan Imam Bijoy, A Hybrid ViT-GRU Model for Breast Cancer Detection: Addressing Class Imbalance Challenges, 4th International Conference on Electrical, Computer and Communication Engineering, 2025, Bangladesh
Monoronjon Dutta, Md. Atiqur Rahman, Md Shafikul Islam, Chonchal Khan, Advancing Kidney Disease Diagnosis Using Convolutional Neural Networks on Medical Imaging, 4th International Conference on Electrical, Computer and Communication Engineering, 2025, Bangladesh
Monoronjon Dutta, Md. Abbas Ali Khan, MM Fazle Rabbi, Md. Atiqur Rahman, Mohammad Monirul Islam, Retinal Fundus Image Classification Using Generative Adversarial Networks, 4th International Conference on Electrical, Computer and Communication Engineering, 2025, Bangladesh
Md. Atiqur Rahman, Sajib Bin Mamun, M. A. Omar Faruq, Mashreka Akter, Pranta Saha and Mariyam Bin Ayan, Depression Detection Approach Based on Sociodemographic and Psychosocial Factors. The 28th International Conference on Science, Technology and Innovation Indicators, 2024.
Md. Atiqur Rahman, Md. Asraful Sharker Nirob, Mashreka Akter, Mariyam Bin Ayan, and Israt Jahan Payel, A Novel Approach to Select an Optimal Text Compression Method Based on Application. The 28th International Conference on Science, Technology and Innovation Indicators, 2024.
Nayma Alam, Sofia Noor Rafa, Tasfia Tahsin Annita, Md. Atiqur Rahman, M. Saddam Hossain Khan, Rashedul Amin Tuhin, Md. Mohsin Uddin, A Machine Learning Framework for Early Detection of Autism Spectrum Disorder in Adults Using Feature Scaling and Classification Techniques, 27th International Conference on Computer and Information Technology, 2024. (CORE C)
Md. Shamsuzzaman Miah, Abu Sufiun, Md. Atiqur Rahman, Ifat Hasan, Touhid Bhuiyan and M. Ameer Ali, Towards COVID-19 Detection Information System based on AIoT, International Conference on Big Data, IoT and Machine Learning (BIM 2023), Dhaka, Bangladesh.
Sonjoy Prosad Shaha, Sajeeb Datta, Md Nadim Mahmud, Md Hassan Ahmad and Md. Atiqur Rahman, 2023, September. Peripheral Blood Smear Image Based Blood Cancer Detection Using Transfer Learning, International Conference on Big Data, IoT and Machine Learning (pp. 1007-1022). Singapore: Springer Nature Singapore.
Cyril Elorm Agbewali-Koku, Md. Atiqur Rahman, Mohamed Hamada, Md Hossain, Lutfun Nahar Oysharja, A systematic review of machine learning techniques in online learning platforms, The 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, Universiti Sains Malaysia, Malaysia.
Md. Atiqur Rahman and Mohamed Hamada, An integer wavelet transform based lossless image compression technique using Arithmetic coding. The 21st international conference on intelligent software methodologies, tools and techniques (SOMET 2022), The University of Aizu, Japan.
Md. Atiqur Rahman, Mohamed Hamada, and Md Asfaqur Rahman, 2021, December. Text compression based on an alternative approach of run-length coding using Burrows-Wheeler transform and arithmetic coding. In 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 287-291). IEEE.
Md. Atiqur Rahman, Mohamed Hamada, and Md AsfaqurRahman, 2022 "A comparative analysis of the state-of-the-art lossless image compression techniques" The 4th International Conference on ICT Integration in Technical Education (ETLTC 2022).
Md. Atiqur Rahman, and Mohamed Hamada, 2021. "Lossless text compression using GPT-2 language model and Huffman coding" The 2021 3rd ETLTC - ACM Chapter International Conference on Information and Communications Technology, In SHS Web of Conferences (Vol. 102). EDP Sciences.
Md. Atiqur Rahman, Md Faizul Ibne Amin, Mohamed Hamada, 2020 "Edge Detection Technique By Histogram Processing with Canny Edge Detector" In 2020 3rd IEEE International Conference on Knowledge Innovation and Invention (ICKII) (pp. 128-131). IEEE.
Md. Atiqur Rahman, Mohamed Hamada ", 2019, October. A semi-lossless image compression procedure using a lossless mode of JPEG. In 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 143-148). IEEE.
Md. Atiqur Rahman, Jungpil Shin, Aloke Kumar Saha, and Md. Rashedul Islam, 2018. "A Novel Lossless Coding Technique for Image Compression," 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision \& Pattern Recognition (icIVPR) (pp. 82-86). IEEE.
Md. Atiqur Rahman, M. M. Fazle Rabbi, Md. Mijanur Rahman, Md. Masudul Islam and Md. Rashedul Islam, 2019. "Histogram modification based lossy image compression scheme using Huffman coding," 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 279-284). IEEE.
Md. Atiqur Rahman, Syed Mohammed Shamsul Islam, Jungpil Shin, Md. Rashedul Islam, 2019. "Histogram Alternation Based Digital Image Compression using Base-2 Coding," 2018 Digital Image Computing Techniques and Applications (DICTA) (pp. 1-8). IEEE. (CORE C)
Md. Atiqur Rahman, Most. Jannatul Ferdous, Md. Mamun Hossain, Md Rashedul Islam, Mohamed Hamada, 2019. "A lossless speech signal compression technique", 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-7). IEEE.
Md. Ashfakur Rahman, Subhra Prosun Paul, Mrinmoy Das, Md. Mamun Hossain, Rejwana Haque and Md. Atiqur Rahman, 2019, February "Convolutional Neural Networks based multi-object recognition from a RGB image", In 2019 international conference on electrical, computer and communication engineering (ECCE) (pp. 1-6). IEEE.

Md. Jakaria Zobair, AI-Driven Feature Decoding for Breast Cancer Detection: A Hybrid Deep Learning Model (Ongoing) (Graduate)
Runa Akter, Sanjida Islam Ipty, Momrna Khatun Methila, Thesis Title: "A Machine Learning-Based Approach to Credit Card Fraud Detection", Year: 2024 (Undergraduate)

Awards & Achievements

Awarded, Research Award Ceremony 2023, Daffodil International University, Bangladesh. (20,000 Taka) (2023)

Research Assistant (Outstanding Category), The University of Aizu, Japan. (2,88,000 yen) (2020-2021)

Research Assistant (Outstanding Category), The University of Aizu, Japan. (2,88,000 yen) (2021-2022)

JASSO (Japan Student Services Organization) scholarship. (2019-2021)

Teaching Materials

I have taught the following courses. All related teaching materials—including lecture notes, slides, videos, books, assignments, lab manuals, and additional learning resources—are available on my Google Classroom.

CSE 475 – Machine Learning (Deep Learning)
CSE 477 - Data Mining
CSE 487 - Big Data Analytics
CSE 438 - Digital Image Processing
CSE 207 – Data Structures
CSE 246 - Algorithms
CSE 103 – Structured Programming Language
CSE 313 - Theory of Computation

Affiliation Professional Membership

Membership

Bangladesh Computer Society

Reviewer

IEEE Access (IEEE)
The Journal of Supercomputing, Springer Nature
Scientific Report (Nature)
Applied Sciences (MDPI)
Multimedia Tools and Applications (Springer)
Sensors (MDPI)
Symmetry (MDPI)

Other activities

Problem Setter: Designed and developed programming problems for multiple student-level contests, fostering critical thinking and problem-solving skills.
Question Setter: IT Olympiad 2024 ( Senior and Junior level), organized by the Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
Research coordinator: Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh. September 2022 to August 2023
Session chair: Session Title: Pattern Recognition and Classification - 01 and Artificial Intelligence for Imaging Application-03, International Conference on Big Data, IoT and Machine Learning (BIM 2023), Daffodil International University, Dhaka, Bangladesh.
Technical Secretary: International Conference on Big Data, IoT and Machine Learning (BIM 2023)
Session co-chairs: Session: Intelligent Systems and Learning Technologies: Models, Methods, and Applications, The IEEE 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2019), Nanyang Executive Centre, Nanyang Technological University, Singapore.
PC Members and Moderator: Session: Intelligent Systems and Learning Technologies: Models, Methods, and Applications, The IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021), Singapore University of Technology and Design, Singapore.
Member: Organizing Committee, ACM-ICPC Asia Regional Dhaka Site 2014, Bangladesh University of Business and Technology.