Research & Publications

Choudhury M. Mukammel Wahid 

Professor, Department of CSE


Journal papers:


1. Chowdhury S., Islam K.M.S., Mohammad S.N., Amin M.R., Wahid C. (2019) Analysis on Lightning News and Correlation with Lightning Imaging Sensor (LIS) Data. Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 813. Springer, Singapore, First Online 02 September 2018, DOI https://doi.org/10.1007/978-981-13-1498-8_4

2. The relationship between tropical rainfall and Convective Available Potential Energy (CAPE). 2017, Metropolitan University Journal, Vol. 6

3. Design of a wind farm in the coastal island Sandwip, Bangladesh: International Conference on the Developments in Renewable Energy Technology (ICDRET), 2014, 29-31 May 2014, Page(s): 1 - 4, Bangladesh DOI: 10.1109/ICDRET.2014.6861738, Publisher: IEEE

4. Socio-economic impact of using rooftop solar panels- a case study conducted in the rural areas of greater Sylhet, Bangladesh, 3rd International Conference on the Developments in Renewable Energy Technology (ICDRET), 2014, 29-31 May 2014, Page(s): 1 - 5, Bangladesh DOI: 10.1109/ICDRET.2014.6861738, Publisher: IEEE.

5. M T H Bhuiyan • M D I Bhuyan • M N Chowdhury • Choudhury Wahid • S B Faruque, 2014: Characteristics of Diurnal Variation of Summer Monsoon Rainfall over Bangladesh and its Adjacent Areas, Journal of Emerging Trends in Engineering and Applied Sciences 5(3): 217-221

6. M.D. Bhuyan, T.H. Bhuiyan, J. Islam, Choudhury Wahid, S.B.Faruque 2013: Characteristics of Summer Monsoon Rainfall over South Asia using TRMM Data. Journal of Science and Technology, 3(2): p471-479. 

7. Islam M. Nazrul and C. M. Mukammel Wahid, 2003: Adaptation of a technique to estimate rainfall from satellite data in Bangladesh. Sri Lanka Journal of Physics, 4: 01-09. 

8. C. M. Mukammel Wahid, Islam M. Nazrul, and M.R. Rahman, 2000: Calculation of rainfall from satellite data in and around Bangladesh. MAUSAM, 51(4): 359-364. 

9. C. M. Mukammel Wahid. and Islam M. Nazrul, 2000: Use of satellite data to estimate rainfall over Bangladesh. J. Sci. & Tech., 2(1): 141-145. 

10. C. M. Mukammel Wahid, M.R. Rahman, and Islam M. Nazrul, 1999: Single cell and multicell clouds analyzed with satellite data in and around Bangladesh. MAUSAM, 50 (2), 177-180. 

11. Islam M. Nazrul and C. M. Mukammel Wahid, 1999: On the development of a technique to estimate surface rain using satellite data over Bangladesh. J. Sci. Res., 17(2): 181-188. 

12. C. M. Mukammel Wahid and Islam M. Nazrul, 1999: Patterns of rainfall in the northern region of Bangladesh. J. Sci. Res., 17(1): 115-120. 


Conference Papers


1. Wahid, C., Salam, M. A., & Alam, M. S. (May 2024). Decadal Trends in NO2 Pollution Across Eight Major Bangladeshi Cities. Accepted for presentation at the National Conference on Physics for the 21st Century. Khulna University.

2. Analysis of Lightning News and Correlation with Lightning Imaging Sensor (LIS) Data, International conference on emerging technologies in data mining and information security, 23- 25 February 2018, Kolkata, India.

3. TRMM Observed Characteristics of Monsoon Rainfall over Bangladesh from 2001 to 2010, The 4th TRMM and GPM International Science Conference, November 13-16, 2012 Japan.

4. Islam M. Nazrul, C. M. Mukammel Wahid, K. Kikuchi, and H. Uyeda, 1999: Remote sensing technique in rainfall estimation. Proceedings, International Conference on Material Science & Technology, Dhaka, 80-83. 

5. C. M. Mukammel Wahid, Islam M. Nazrul, and R. Rahman, 1998: Some aspects of monsoon rainfall over Bangladesh. 20th Bang. Sci. Conference, Dhaka, p 32. 

6. C. M. Mukammel Wahid, Islam M. Nazrul, and R. Rahman, 1998: Correlation between fractional cloud coverage and rainfall over northern Bangladesh. 20th Bang. Sci. Conference, Dhaka, p 32. 

Linkedin Profile : https://www.linkedin.com/in/mukammel/

Google Scholar : https://scholar.google.com/citations?user=BS25ITAAAAAJ

Research Gate : https://www.researchgate.net/profile/Choudhury-Wahid


Md. Mahfujul Hasan
Assistant Professor

1. S. R. Sabuj, Md. Mahfujul Hasan and Md. Jakir Hossain,” Effects of Backscattering and atmospheric scintillation on OFDM Based Optical Wireless Communication,” International Journal on Communications (IJC), Volume 3 Issue 1, March 2014.

2. Md. Mahfujul Hasan, S. R. Sabuj and Kazi Wohiduzzaman, “Performance Analysis
of an OFDM Based Optical Wireless Communication Impaired by Backscattering,” International Journal on Communications (IJC), Volume 2, Issue 3, September 2013.

3. Rumel M S Rahman Pir and Md. Mahfujul Hasan,”Performance Limitations of a Wireless Optical Link Impaired by Backscattering and Atmospheric Scintillation,”International Journal of Research and reviews in Computing Engineering (IJRRCE), Vol-1, No-1 (2011).

 

 

Sakhawat Hossain Saimon
Lecturer

1. Sheikh N. M., Sakhawat. H, Md. Mustafijur R., Mithun D., Md. Ruhul A., Sachetan: A Crowdsource Based Personal Safety Application, International Conference On Emerging Technologies In Data Mining And Information Security (accepted and waiting to appear)

 

Md. Mushtaq Shahriyar Rafee

Assistant Professor

Research Interests: Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition

 

Journal Papers

1. Samin, A. M., Kobir, M. H., Rafee, M. M. S., Ahmed, M. F., Hasan, M., Ghosh, P., Kibria, S., & Rahman, M. S. (2024). BanSpeech: a Multi-Domain Bangla Speech recognition benchmark toward robust performance in challenging conditions. IEEE Access, 12, 34527–34538. (2024) (Link)

2. Urnisha, N. N., Bithi, S. I., Rafee, M. M. S., Remon, N. I., Hasan, M. M., & Chowdhury, R. R. (2024). A transfer learning approach for facial emotion recognition using a deep learning model. International Journal of Research and Scientific Innovation, XI(IV), 274–284. (2024) (Link)

Conference Papers     

1. B. Biswas, M. S. A. Shanto, S. A. Masum, M. S. I. K. Limon, M. M. S. Rafee and M. M. Hasan, "CricBakko: A New Bangla Dataset on Bangladesh Cricket for Sentiment Analysis," 2025 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2025, pp. 1-5. (2025) (Link)

2. Ahnaf Mozib Samin, M Firoz Ahmed, and Md. Mushtaq Shahriyar Rafee. 2025. ColorFoil: Investigating Color Blindness in Large Vision and Language Models. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), pages 294–300, Albuquerque, USA. Association for Computational Linguistics. (2025) (Link)

3. Tabassum, A., Ema, Y. F., Rafee, M. M. S., & Limon, M. S. I. K. (2025, January). A Survey on Predicting Depression Among Teachers and Students at Metropolitan University (Sylhet, Bangladesh) Using Machine Learning. In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) (pp. 1-6). IEEE. (2025) (Link)

4. Alam, S. S., Munna, K. H., & Rafee, M. M. S. (2024, May). Covid-19 Detection From CT Scan Images Using Deep Learning Models. In 2024 International Conference on Intelligent Systems and Computer Vision (ISCV) (pp. 1-6). IEEE. (2024) (Link)

Links

1. Google Scholar: https://scholar.google.com/citations?user=fQNGWD8AAAAJ&hl=en

2. Research Gate: https://www.researchgate.net/profile/Mushtaq-Rafee

3. ORCID ID: https://orcid.org/0000-0001-8580-0821

 

 

Bushra Azmat Hussain

Lecturer

Email: bushra@metrouni.edu.bd

Research Gate: https://www.researchgate.net/profile/Bushra-Hussain-10?ev=hdr_xprf
Research interest: Machine Learning, Deep Learning, Image Processing, Natural Language Processing, and Cyber Security.

Publication:

Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction With Robust Feature Engineering

DOI: 10.1109/ACCESS.2025.3598285
Deep Learning Based IoT Device Categorization Using Network Traffic Analysis. 
DOI: 10.1145/3723178.3723234
Conference: ICCA 2024: 3rd International Conference on Computing Advancements

 

Salma Akther

Lecturer

Research Interests:

Education, Gender and Development.

My current research focuses on gender equality in professional sectors and the intersection of education and social development. In the future, I intend to explore how educational policies and technological advancements contribute to women’s empowerment and inclusive development in Bangladesh.

Publications:


Akther, S. & Khan, S. A. (2025). The Fifteenth Amendment of the Constitution of Bangladesh: A Review. Higher Education of Social Science, 28(1), 12–20.

Available at: http://www.cscanada.net/index.php/hess/article/view/13756

DOI: http://dx.doi.org/10.3968/13756

 

Akther, S. (2015). The Nature of Empowerment of Employed Women: A Study in the Banking Sector of Sylhet City. The Journal of Social Studies, No. 146, April–June, Centre for Social Studies, Dhaka.

 

Samia Rahman Rima

Lecturer
Email: rima@metrouni.edu.bd

 

Research Interests and Publications

1. Research Interests

Current Research Interests:

She is currently exploring how machine learning and supervised learning can be applied across different sectors, with a particular emphasis on healthcare. Her primary focus is on developing predictive models that can support early disease detection, predict patient outcomes, and assist doctors and hospitals in making informed decisions.

Recently, she has begun studying Hugging Face models, which are widely used in Natural Language Processing (NLP). Through this, she is learning how transformer-based models such as BERT and GPT are used for tasks like text classification, sentiment analysis, summarization, and question answering, enabling computers to better understand and process human language.

Future Research Interests:

In the future, she aims to conduct further research in deep learning for both image and text data, federated learning to ensure data privacy, and interpretable AI that aligns with ethical and real-world standards. Her long-term goal is to integrate NLP with healthcare-focused AI to build systems that are reliable, trustworthy, and beneficial for real-world medical applications.

 

List of Publications

She is currently reading and reviewing research papers related to machine learning, explainable AI, and NLP models using Hugging Face. She is also preparing for future research collaborations.

 

Example Papers Being Reviewed / Studied

Machine-Learning-Based Disease Diagnosis: A Review — PMC (2022)

https://pmc.ncbi.nlm.nih.gov/articles/PMC8950225/
A Survey of Explainable Artificial Intelligence in Healthcare — ScienceDirect (2024)

https://www.sciencedirect.com/science/article/pii/S2352914824001448


Explainable Deep Learning in Healthcare: A Methodological Survey — arXiv (2023)

https://arxiv.org/abs/2112.02625

Hugging Face Transformers: State-of-the-Art Natural Language Processing — arXiv (2020)

https://arxiv.org/abs/1910.03771

 

Shrabanti Chowdhury

Lecturer

Email shrabanti@metrouni.edu.bd

 

Current Research Interests:

Her research focuses on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Data Science, with applications spanning image processing, medical imaging, sentiment analysis, and natural language processing (NLP). She is particularly interested in developing predictive, optimization, and intelligent decision-support models to address complex challenges in healthcare, social media analytics, and other data-intensive domains. In the field of NLP, her work centers on modern transformer-based architectures such as BERT and GPT, applied to tasks including text classification, sentiment analysis, summarization, and question answering. She also works on deep learning-based medical image processing, with a focus on detection, segmentation, classification, and enhancement of low-contrast medical images. Her methodological approach incorporates techniques such as genetic algorithms, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and attention mechanisms.
Beyond healthcare and NLP, she explores advanced AI topics including explainable and interpretable AI (XAI) for reliable decision-making, reinforcement learning for optimization and intelligent agent design, and big data analytics with feature engineering for high-dimensional datasets.

 

Future Research Interests:

She aims to further integrate deep learning models for multimodal data, combining text, image, and structured datasets to develop robust and interpretable AI systems. Her long-term goal is to create practical, ethical, and explainable AI solutions for healthcare, social computing, and other critical domains where data-driven insights can create meaningful impact.

List of Publications:

She is actively reviewing and analyzing research papers in machine learning, deep learning, explainable AI, NLP, and medical image processing in preparation for future publications and research collaborations.

  1. Machine-Learning-Based Disease Diagnosis: A Review — PMC (2022)

https://pmc.ncbi.nlm.nih.gov/articles/PMC8950225/

  1. A Survey of Explainable Artificial Intelligence in Healthcare — ScienceDirect (2024), https://www.sciencedirect.com/science/article/pii/S2352914824001448
  2. Explainable Deep Learning in Healthcare: A Methodological Survey — arXiv (2023), https://arxiv.org/abs/2112.02625
  3. Transformer-Based Models in Natural Language Processing: A Comprehensive Survey — arXiv (2020), https://arxiv.org/abs/1910.03771

Research Gate

https://www.researchgate.net/profile/Shrabanti-Chowdhury?ev=prf_overview

 

Tajbin Jahan

Lecturer

Email: tajbin@metrouni.edu.bd

Research Interests and Publications

1. Research Interests

Current Research Work

Her current research focuses on applying Machine Learning (ML) and Deep Learning in the fields of Natural Language Processing (NLP), Image Processing, and Medical Data Analysis. She is working on developing intelligent systems capable of analyzing and interpreting both textual and visual data to solve real-world challenges in areas such as social media safety and healthcare.

She is currently studying and reviewing research papers to deepen her understanding of core concepts, including supervised learning, deep learning architectures, and optimization techniques, in order to strengthen the theoretical foundation behind her future research work.

Current areas of focus include:

Bangla Hate Speech Detection using NLP

Image Processing and Computer Vision

Medical Image Classification and Disease Prediction

Supervised Learning and Deep Neural Networks

Future Research Interests:

In the future, she aims to explore Explainable AI (XAI) and Multimodal Deep Learning that integrates both text and image data to create more accurate, transparent, and socially responsible AI systems.

She is also interested in studying ethical AI and AI fairness to ensure that machine learning models behave responsibly across diverse languages and datasets.

List of Publications

Tajbin Jahan, Supervised by Samihul Islam Khan Limon,

 “Bangla Hate Speech Detection using Natural Language Processing Techniques,”

 (Under Review / Unpublished Research Work).

Example Papers Being Reviewed / Studied

Bangla Hate Speech Detection Using CNN-LSTM Models – arXiv, 2021

A Benchmark Dataset for Bangla Hate Speech Detection – ACL Anthology, 2022

Explainable Deep Learning in Medical Image Analysis – Medical Image Analysis Journal, Elsevier, 2021

A Survey on Deep Learning in Medical Image Analysis – arXiv, 2017

Recent Advances in Bangla NLP: Resources and Applications – arXiv, 2022

ResearchGate:https://www.researchgate.net/profile/Tajbin-Jahan/research

 

Nazrul Islam

Lecturer

CONFERENCE PAPER

Stability analysis of 2D Viscous Burger’s equations by the Explicit Finite Difference Method

Ongoing Research Project:

Project Name: Numerical Simulation of 2D Viscous Burgers Equations

SUST Research Centre 2025-26

RESEARCH INTEREST

  1. Computational Fluid Dynamics
  2. Numerical Analysis
  3. Mathematical Programming
  4. Fluid Dynamics
  5. Data Analysis
  6. Mathematical Modeling

 

Archi Arani Basak

Lecturer

Current and Future Research Interests

Keywords: Natural Language Processing (NLP), Human-Computer Interaction (HCI), Computer Vision, Medical AI, Machine Learning

Her current research lies at the intersection of Natural Language Processing (NLP) and Human-Computer Interaction (HCI), with a focus on integrating language technologies into user-centered applications. She is currently supervising multiple student research teams: one team is working on dialect-to-standard Bangla translation using NLP techniques, while another team is developing deep learning models for brain tumor detection from MRI scans. Additional teams under her supervision are exploring machine learning applications across various domains.Her future research plans include advancing interdisciplinary methods that combine language technologies with healthcare and user interface design. She is also interested in exploring explainable AI and user-centered evaluation frameworks to ensure transparency, usability, and trust in AI-assisted systems.

 

Ishrar Nazah Chowdhury

Lecturer
Research Interests: Human–Computer Interaction, Machine Learning

Active Research Project

  1. Assessing the Impact of a Conversational Agent on English Speech Development: A Study on Preschoolers in Bangladesh – Integrating Cross-Linguistic Models.
  2. Comparative Study of Conventional and Transformer-Based Topic Modeling Approaches on Bangla Product Review Corpus.

 

Muhammad Muzammil

Lecturer

His current research focuses on evaluating and enhancing the quality of higher education through empirical and statistical modeling approaches. Using the SERVQUAL model and Structural Equation Modeling (SEM), he aims to analyze the interrelationships among service quality, student satisfaction, and student loyalty in order to develop a comprehensive framework for assessing educational quality at SUST in Sylhet, Bangladesh.

His future research interests include developing composite indices for educational quality measurement, exploring key predictors of institutional effectiveness, and examining how universities align with SDG 4 (Quality Education) and national development agendas under Vision 2041.
Keywords: Quality Education, Service Quality, Student Satisfaction, Loyalty, SEM, SERVQUAL, Higher Education, SDG 4, Institutional Effectiveness, Composite Index.

List of Scholarly Publications:

  1. Muhtasim, D. A., Pulok, R. A., Sakib, M. F. R., Amin, R., Hussain, B. A., Muzammil, M., Hasan, M. M., & Tan, S. Y. (2025). Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction with Robust Feature Engineering. IEEE Access, 1. https://doi.org/10.1109/access.2025.3598285
  2. “Ensuring Quality Education of Universities in Sylhet, Bangladesh: Faculty Resources and Infrastructure Perspective”, in the 8th International Conference on the Role of Statistics and Data Science in 4IR held in December 2024 at the Department of Statistics, University of Rajshahi.
  3. “The impact of Information and Communication Technology on Secondary Schools’ Efficiency of Sylhet, Bangladesh”, in the 8th International Conference on the Role of Statistics and Data Science in 4IR held in December 2024 at the Department of Statistics, University of Rajshahi.

Research Gate:

https://www.researchgate.net/profile/Muhammad-Muzammil-51

Abdullah Al Masud

Lecturer

 

Current and Future Research Interests

He is currently working in the fields of Nonlinear Equations and Image Processing. His research focuses on developing analytical and numerical approaches for solving nonlinear partial differential equations, as well as applying image processing techniques to real-world problems.

In the future, he intends to expand his research toward the application of mathematical modeling and computational fluid dynamics (CFD) in oceanographic studies, with a particular focus on storm surge simulation and coastal dynamics. His long-term goal is to integrate mathematical theory with computational tools to address complex challenges in environmental and fluid systems.

Keywords: Partial Differential Equations, Oceanography, Image Processing, Nonlinear Equations, Storm Surge Simulation, Computational Fluid Dynamics (CFD), Mathematical Modeling.

 

Nasif Istiak Remon

Senior Lecturer

Current & Future Research Interests

Currently looking to get a student group's work on Banglish-to-Bangla Back Transliteration published.

For future work, I am looking into research on Human-Computer Interaction. Specifically: human input about smartphones.

Other Topics of Interest: Natural Language Processing, Hate Speech Detection, Low-Resource Languages, Back Transliteration, Transformer models, Encoder-Decoder models.

Scholarly Publications

  1. Hate Speech Detection in the Sylheti Language: A Machine Learning and Deep Learning Approach [Oct. 2025 - Proceedings not available yet] [Compas 2025]
  2. A Transfer Learning Approach for Facial Emotion Recognition Using a Deep Learning Model [2024] [IJRSI - May 2024 | Volume XI Issue V]
  3. Bengali Hate Speech Detection in Public Facebook Pages [2021] [ICISET-2022]

 

Rishad Amin Pulok

Lecturer

 

His research interests lie primarily in the fields of Data Science, Machine Learning, Image Processing, Computer Vision, and Deep Learning, with a focus on developing intelligent systems that can address real-world challenges in healthcare, agriculture, and human–computer interaction. He is particularly motivated by the potential of advanced learning architectures to extract meaningful insights from complex data and enhance decision-making in critical domains. His previous work has strengthened his foundation in both theoretical and applied aspects of artificial intelligence. He has developed a Dense Stack Meta Ensemble Classifier (DSMEC) for early cardiovascular disease prediction, integrating robust feature engineering with advanced stacking ensemble methods to improve diagnostic accuracy. In addition, he has worked on Bangladeshi Sign Language recognition using Deep Convolutional Neural Networks (DCNNs) and designed a ResNet50-V2–based model for detecting paddy leaf diseases, reflecting his interest in applying deep learning to accessibility, healthcare, and agricultural intelligence.

In his future research, he aims to explore multimodal deep learning, explainable AI, data-centric AI development, and transfer learning to build adaptive models capable of operating effectively in diverse and resource-constrained environments. He is especially interested in developing hybrid architectures that integrate visual, textual, and sensor-based data to enhance the interpretability, reliability, and robustness of intelligent systems.

ResearchGate Profile: https://www.researchgate.net/profile/Rishad-Amin-Pulok

Google Scholar Profile: https://scholar.google.com/citations?user=VuVEz08AAAAJ

ORCID ID: 0009-0002-2168-4838

 

Md. Fahmidur Rahman Sakib

Lecturer (Senior Grade)

Department of Computer Science & Engineering

Google Scholar: https://scholar.google.com/citations?user=53dnMxgAAAAJ&hl

ResearchGate: https://www.researchgate.net/profile/Md-Sakib-10

Research Interest:

Computer Vision, Image Processing, Machine Learning, Data Science, Natural Language Processing, Deep Learning

An Algorithmic Approach to Driver Drowsiness Detection for Ensuring Safety in an Autonomous Car – IEEE Region 10 Symposium (TENSYMP 2020), DOI: 10.1109/TENSYMP50017.2020.9230766

A Novel Approach to Enhance Safety on Drowsy Driving in Self-Driving Car – Mobile Networks and Applications (Springer), Q2 Journal, DOI: 10.1007/s11036-022-01932-8

Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction with Robust Feature Engineering – IEEE Access (Volume: 13, Pages: 148735 - 148752), Q1 Journal, DOI: 10.1109/ACCESS.2025.3598285

 

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