Ashifur Rahman
Lecturer — Department of Computer Science & Engineering
Ashifur Rahman
Lecturer - Department of Computer Science & Engineering
Email: ashifurrahman@bubt.edu.bd
Blood Group: B+
Professional Summary
Ashifur Rahman is a Lecturer in the Department of Computer Science and Engineering at the Bangladesh University of Business and Technology (BUBT), Bangladesh. He holds a B.Sc. in Computer Science and Engineering with a specialization in Artificial Intelligence and is currently pursuing an M.Sc. in Computer Science and Engineering at the Dhaka University of Engineering and Technology (DUET), Bangladesh. From the early stages of his academic career, he has been actively involved in research, developing a strong interest in computer vision, deep learning, and applied artificial intelligence. Previously, he worked as a Research Assistant at the RIoT Research Center, Independent University, Bangladesh, from September 2022 to July 2024. During this period, he contributed to research on AI-based cancer diagnosis, mental health analysis, and water quality profiling through data-driven and machine learning approaches. His current research focuses on advanced deep learning architectures, including vision transformers and vision–language models, particularly for medical image analysis and medical visual question answering systems. To date, Mr. Rahman has authored and co-authored 15 journal articles, including 11 published in Q1-ranked journals, and over 20 international conference papers with reputable publishers such as IEEE, Springer Nature, and Elsevier. As a faculty member, he teaches undergraduate courses including Data Mining, Neural Networks, Internet of Things (IoT), Distributed Database Management Systems, and introductory computer science courses, while actively supervising student projects and promoting a research-oriented academic environment. His research interests include Computer Vision, Deep Learning, Machine Learning, Explainable AI (X-AI), Vision–Language Models (VLMs), and AI applications in healthcare and environmental intelligence.
Education
Bachelor of Science in Engineering (B.Sc. Engr)
Major: Computer Science and Engineering
Institute: Bangladesh University of Business and Technology
Passing Year: 2022
Master of Science in Engineering (MSc Engr)
Major: Computer Science and Engineering
Institute: Dhaka University of Engineering & Technology
Passing Year: 2027
Academic Experience
| Institute | Department | Position | Year |
|---|---|---|---|
| Bangladesh University of Business and Technology | Computer Science and Engineering | Lecturer | 12 Jan 2025 - Till Date |
| Independent University Bangladesh | Computer Science and Engineering | Research Assistant | 18 Sep 2022 - 30 Jun 2024 |
Professional Experience
| Institute | Department | Position | Year |
|---|---|---|---|
| Independent University Bangladesh | Computer Science and Engineering | Research Assistant | 18 Sep 2022 - 30 Jun 2024 |
Journal Papers
Md Mohsin Kabir, Ashifur Rahman, Md Nahid Hasan and MF Mridha, "Computer Vision Algorithms in Healthcare: Recent Advancements and Future Challenges, " In: Computers in Biology and Medicine, 185 109531 (2025-01-01) .
Ashifur Rahman, Md. Mohsin Kabir, MF. Mridha, Mohammed Alatiyyah, Haifa F. Alhasson, and Shuaa S. Alharbi, "Arabic Speech Recognition: Advancement and Challenges, " In: IEEE Access, 12 39689 (2024-01-01) .
Md Mohsin Kabir, MF Mridha, Ashifur Rahman, Md Abdul Hamid, and Muhammad Mostafa Monowar, "Detection of Covid-19, Pneumonia, and Tuberculosis from Radiographs using AI driven Knowledge Distillation, " In: Heliyon, 10(5), 26801 (2024-01-01) .
Md Khairul Alam Mazumder, Md Mohsin Kabir, Ashifur Rahman, Md Abdullah-Al-Jubair, and MF Mridha, "DenseNet201Plus: Cost-Effective Transfer-Learning Architecture for Rapid Leaf Disease Identification with Attention Mechanisms, " In: Heliyon, 10(15), 35625 (2024-01-01) .
Md Reazul Islam, Khondokar Oliullah, Md. Mohsin Kabir, Ashifur Rahman, MF Mridha, Muhammed Fayyaz Khan, and Nilanjan Dey, "Machine Learning-Driven IoT Device for Women’s Safety: A Real-Time Sexual Harassment Prevention System, " In: Multimedia Tools and Applications, 1--30 (2024-01-01) .
Ashifur Rahman, Md Mazharul Islam, Mohasina Jannat Moon, Tahera Tasnim,, Nipo Siddique, Md Shahiduzzaman, and Samsuddin Ahmed, "A qualitative survey on deep learning based deep fake video creation and detection method, " In: Australian Journal of Engineering and Innovative Technology (AJEIT), 4(1), 13--26 (2022-01-01) .
Md Sabbir Hossain, Mostafijur Rahman, Ashifur Rahman, Md Mohsin Kabir, M. F. Mridha, Jie Huang and Jungpil Shin, "Automatic navigation and self-driving technology in agricultural machinery: A state-of-the-art systematic review, " In: IEEE Access, 14(2), 1-32 (2025-01-01) .
Ashifur Rahman, MM Mahbubul Syeed, Kaniz Fatema, Md. Rajaul Karim, Razib Hayat Khan, Md Shakhawat Hossain, and Mohammad Faisal Uddin, "An enhanced multi-head attention based lstm model for forecasting surface water quality index,, " In: Water Practice & Technology, 20(4), 896-914 (2025-01-01) .
Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin, "An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues, " In: Applied Water Science, 15(5), 1-27 (2025-01-01) .
Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md Nazmul Hossain Mir, Ashifur Rahman, M. F. Mridha, Md Rashedul Islam, Yutaka Watanobe, "A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment, " In: IEEE Access, 13(1), 53621-5363 (2025-01-01) .
Md. Rajaul Karim, M. M. Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, "A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empirical and ML Adopted Research, " In: Nature Scientific Data, 12(1), 1-13 (2025-01-01) .
Hashibul Ahsan Shoaib, Md Anisur Rahman, Jannatul Maua, Ashifur Rahman, M. F. Mridha, Pankoo Kim, and Jungpil Shin, "An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization, " In: IEEE Open Journal of the Computer Society, 6(1), 468-479 (2025-01-01) .
Md Sabbir Hossain, Mostafijur Rahman, Mumtahina Ahmed, Ashifur Rahman, Md Mohsin Kabir, MF Mridha, Jungpil Shin, "An in-depth review and analysis of deep learning methods and applications in spinal cord imaging, " In: Healthcare Analytics, 8 1-21 (2025-01-01) .
Md Sabbir Hossain, Mostafijur Rahman, Md Golam Rabbani Abir, Jannatul Maua, Ashifur Rahman, "Plant Leaf Disease Detection Using Deep Stacking: Integrating CNNs and Gradient Boosting for Enhanced Classification Accuracy, " In: Studies in Computational Intelligence, 15-26 (2025-01-01) .
Conference Papers
, "Short and Low Resolution Deepfake Video Detection Using CNN", In: Proceedings of the
2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad
, 2022-09-15 2022-09-17,
, "Short and Low Resolution Deepfake Video Detection Using CNN", In: Proceedings of the
2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), Hyderabad
, 2022-09-15 2022-09-17,
, "An LSTM Based Forecast Of COVID-19 For Bangladesh", In: Proceedings of the
Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, Dhaka
, 2021-12-09 2021-12-11,
, "An LSTM Based Forecast Of COVID-19 For Bangladesh", In: Proceedings of the
Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, Dhaka
, 2021-12-09 2021-12-11,
, "NeuroXAI An Efficient X-AI Intensive Brain Cancer Detection and Localization", In: Proceedings of the
2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur
, 2023-06-16 2023-06-17,
, "NeuroXAI An Efficient X-AI Intensive Brain Cancer Detection and Localization", In: Proceedings of the
2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur
, 2023-06-16 2023-06-17,
, "Real Time Sign Language Detection Using CNN", In: Proceedings of the
2022 International Conference on Data Analytics for Business and Industry (ICDABI), Bahrain
, 2022-10-25 2022-10-26,
, "Real Time Sign Language Detection Using CNN", In: Proceedings of the
2022 International Conference on Data Analytics for Business and Industry (ICDABI), Bahrain
, 2022-10-25 2022-10-26,
, "Harnessing AI for Accurate and Faster Results Reducing COVID-19 RT-PCR Testing Cost Through Machine", In: Proceedings of the
2023 26th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2023-12-11 2023-12-13,
, "Harnessing AI for Accurate and Faster Results Reducing COVID-19 RT-PCR Testing Cost Through Machine", In: Proceedings of the
2023 26th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2023-12-11 2023-12-13,
, "A Multi-cancer Detection and Localization System Utilizing X-AI and Ensemble CNN Technique", In: Proceedings of the
2024 6th ICEEICT, Dhaka
, 2024-05-02 2024-05-04,
, "A Multi-cancer Detection and Localization System Utilizing X-AI and Ensemble CNN Technique", In: Proceedings of the
2024 6th ICEEICT, Dhaka
, 2024-05-02 2024-05-04,
, "COVID EmotionNet A Machine Learning Approach to Unraveling Pandemic Sentiments", In: Proceedings of the
2024 6th ICEEICT, Dhaka
, 2024-05-02 2024-05-04,
, "COVID EmotionNet A Machine Learning Approach to Unraveling Pandemic Sentiments", In: Proceedings of the
2024 6th ICEEICT, Dhaka
, 2024-05-02 2024-05-04,
, "Domain Adaptation in Medical Imaging Evaluating the Effectiveness of Transfer Learning", In: Proceedings of the
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging,2024, Dhaka
, 2024-01-15 2024-01-16,
, "Domain Adaptation in Medical Imaging Evaluating the Effectiveness of Transfer Learning", In: Proceedings of the
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging,2024, Dhaka
, 2024-01-15 2024-01-16,
, "Forecasting Surface Water Quality Using Spatiotemporal Multi-Head Attention-Based LSTM Model", In: Proceedings of the
5th Euro-Mediterranean Conference for Environmental Integration (EMCEI-2023), Italy
, 2023-06-15 2023-06-17,
, "Forecasting Surface Water Quality Using Spatiotemporal Multi-Head Attention-Based LSTM Model", In: Proceedings of the
5th Euro-Mediterranean Conference for Environmental Integration (EMCEI-2023), Italy
, 2023-06-15 2023-06-17,
, "An Interpretable Hybrid CNN-SVM Model for Predicting Stress Among University Students", In: Proceedings of the
ACSIEEE 21st International Conference on Computer Systems and Applications (AICCSA 2024), Tunisia
, 2024-12-21 2024-12-23,
, "An Interpretable Hybrid CNN-SVM Model for Predicting Stress Among University Students", In: Proceedings of the
ACSIEEE 21st International Conference on Computer Systems and Applications (AICCSA 2024), Tunisia
, 2024-12-21 2024-12-23,
, "A Hybrid Multiclass Brain Tumor Segmentation Method Combining EfficientNet and U-Net", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
, "A Hybrid Multiclass Brain Tumor Segmentation Method Combining EfficientNet and U-Net", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
, "Transforming Ocular Health A Vision Transformer Based Eye Disease Detection with GradCam Visualizat", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
, "Transforming Ocular Health A Vision Transformer Based Eye Disease Detection with GradCam Visualizat", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
, "DeepJurist A Hybrid Deep Learning Architecture for Detecting Fake Visual Evidence in Judicial System", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
, "DeepJurist A Hybrid Deep Learning Architecture for Detecting Fake Visual Evidence in Judicial System", In: Proceedings of the
2024 27th International Conference on Computer and Information Technology (ICCIT), Coxs Bazar
, 2024-12-21 2024-12-23,
AWARDS AND RESEARCH GRANTS
| Award Title | Organization | Award year | Awardee Position | Award Description | |
|---|---|---|---|---|---|
| Best Presenter Award | ICCIT | ICCIT | 2024-01-01 | The Best Presenter Award recognizes the most outstanding presentation delivered during a technical session at the ICCIT 2024 conference, held in Coxs Bazar. | |
| Merit Scholarship | Bangladesh University of Business and Technology | Bangladesh University of Business and Technology | 2022-01-01 | This award recognizes outstanding academic excellence, granted for achieving a perfect SGPA of 4.0 out of 4.0 across eight consecutive semesters, accompanied by a 100 percent tuition fee waiver. | |
| Outstanding Research Awards | Bangladesh University of Business and Technology | Bangladesh University of Business and Technology | 2025-01-01 | This award is conferred in acknowledgment of the recipients outstanding high-impact research contribution in 2025. |