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Dr. Md Roman Bhuiyan

Dr. Md Roman Bhuiyan

Lecturer
Dr. Roman Bhuiyan is a computer science & informatics lecturer at BSBI. Dr Bhuiyan completed his postdoctoral fellowship at Fraunhofer IGD in Rostock, Germany, from November 2022 to October 2023. He holds a Ph.D. in Information Technology from Multimedia University, Malaysia, where his research focused on computer vision and deep learning techniques and their applications in visual data analysis.

Overview

Dr. Roman Bhuiyan is a dedicated academic and researcher with a strong foundation in software engineering and a speciality in artificial intelligence, machine learning, computer vision, and deep learning. Currently serving as a lecturer in computer science and informatics, he brings a wealth of experience from both academia and industry to his teaching and research.

He earned his Ph.D. in Information Technology from Multimedia University, Malaysia, where he served as a graduate research assistant (GRA) from 2019 to 2022. During his doctoral studies, he conducted rigorous research using both qualitative and quantitative methodologies, published in top-tier journals and international conferences, and authored a comprehensive Ph.D. thesis that contributed significantly to his field.

Following his Ph.D., Dr. Bhuiyan worked as a postdoctoral fellow at the Fraunhofer-Institut für Graphische Datenverarbeitung IGD in Rostock, Germany, from November 2022 to October 2023. There, he led a smart farming project focused on chicken behaviour analysis using deep learning techniques. His model achieved state-of-the-art results. His research led to the publication of a high-impact journal article in IEEE Access (Q1 ranked) and a conference paper presented at ICIEV 2023 in London.

Before transitioning to academia, Dr. Bhuiyan gained substantial industry experience as a C# programmer at Troyee (3BL) Ltd. in Bangladesh from January 1st, 2015, to April 4th, 2016, and he also worked as a senior C# programmer from October 2017 to December 2018. During that time, he developed and maintained ERP solutions, including human resource and account management systems, contributing to organisational efficiency and digital transformation. His research has been recognised with prestigious awards, including the Best Paper Award and two Innovation Project Bronze Awards. Dr. Bhuiyan combines his practical software development background with deep theoretical knowledge, making him a valuable contributor to interdisciplinary research and education.

Areas of Expertise

  • Programming Language (Python, C# and C++)
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Algorithm Development
  • Database Design and Development

Research interests

  • Image and video analysis using deep learning
  • Massive Crowd Analysis
  • Smart Farming
  • Animal behaviour analysis using vision techniques
  • Computer Vision for health care sector
  • Large scale data analytics
  • AR, VR, MR and XR

Awards and Honours

  • ERCIM Alain Bensoussan Fellowship Programme – Fully funded Postdoctoral Program in Germany.
  • MMU GRA – Fully funded doctoral scholarship in Malaysia.
  • Research Project Showcase – RICES, BRONZE MEDAL (11/2022 – 11/2022) Multimedia University, Malaysia.
  • Research Project Showcase – Innovative research, invention and application exhibition, BRONZE MEDAL (10/2021 – 10/2021) University of Utara Malaysia.
  • Best Paper – 7th International Visual Informatics Conference 2021. – BEST PAPER AWARD (11/2021 – 11/2020) UNITEN, Malaysia.

Publications

  • Bhuiyan, M.R., Abdullah, J., Hashim, N. et al. Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN. Journal of Big Data 10, 86 (2023). https://doi.org/10.1186/s40537-023-00779-4
  • Bhuiyan, M.R.; Uddin, J. Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review. Vibration 2023, 6, 218-238. https://doi.org/10.3390/vibration6010014
  • Bhuiyan, M.R., Abdullah, J., Hashim, N. et al. Video analytics using deep learning for crowd analysis: a review. Multimedia Tools Appl (2022). https://doi.org/10.1007/s11042-022-12833-z
  • Bhuiyan MR, Abdullah J, Hashim N, Al Farid F, Ahsanul Haque M, Uddin J, Mohd Isa WN, Husen MN, Abdullah N. 2022. A deep crowd density classification model for Hajj pilgrimage using fully convolutional neural network. PeerJ Computer Science 8:e895 https://doi.org/10.7717/peerj-cs.895
  • BHUIYAN MR, Abdullah DJ, Hashim DN et al. Crowd density estimation using deep learning for Hajj pilgrimage video analytics [version 2; peer review: 3 approved]. F1000Research 2022, 10:1190 (https://doi.org/10.12688/f1000research.73156.2)
  • Bhuiyan, R.; Abdullah, J.; Hashim, N.; Al Farid, F.; Mohd Isa, W.N.; Uddin, J.; Abdullah, N. Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage. Sensors 2022, 22, 5102. doi: 10.3390/s22145102
  • Bhuiyan, R., Abdullah, J., Hashim, N., Farid, F., Samsudin, M., Abdullah, N., & Uddin, J. (2021). Hajj Pilgrimage Video Analytics Using CNN. Bulletin of Electrical Engineering and Informatics, 10(5). DOI: 10.11591/eei.v10i5.2361
  • Zamri, Muhammad Nur Hakim Bin, Junaidi Abdullah, Roman Bhuiyan, Noramiza Hashim, Fahmid Al Farid, Jia Uddin, Mohd Nizam Husen, and Norra Abdullah. (2021). A Comparison of ML and DL Approaches for Crowd Analysis on the Hajj Pilgrimage. In: Badioze Zaman H. et al. (eds) Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science, vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030- 90235-3_48
  • Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Md Roman Bhuiyan, Jia Uddin, Wan Noorshahida Mohd Isa, Mohammad Ahsanul Haque, Mohd Nizam Husen (2022) ‘A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System. Journal of Imaging, 8(6), p.153.
  • Bhuiyan, M.R.; Uddin, J. Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review. Vibration 2023, 6, 218-238. https://doi.org/10.3390/vibration6010014
  • Ahmad, S., Alam, M.G.R., Uddin, J., Bhuiyan, M.R. and Apon, T.S., 2023. Machine Learning based Stream Selection of Secondary School Students in Bangladesh. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 11(1), pp.105-118.
  • Md Roman Bhuiyan, Fahmid Al Farid, “Web-Based Smart Home Automation for Service Oriented Architecture”, FTMS Journal of Information system and engineering, Vol.5.iss2 November IJISE-2017 [https://bit.ly/2Qo8TmB]
  • M. R. Bhuiyan and P. Wree, “Animal Behavior for Chicken Identification and Monitoring the Health Condition Using Computer Vision: A Systematic Review,” in IEEE Access, vol. 11, pp. 126601-126610, 2023, doi: 10.1109/ACCESS.2023.3331092.
  • F. A. Farid et al., “Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition from Video Sequences,” in IEEE Access, vol. 12, pp. 28564-28574, 2024, doi: 10.1109/ACCESS.2024.3360857.
  • Ramadan ST, Sakib T, Al Farid F, Islam MS, Abdullah J, Bhuiyan MR, Mansor S, Karim HA. Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset. IEEE Access. 2024 May 6.

Conferences, Talks and Speaking Engagements

  • M. R. Bhuiyan, J. Abdullah, N. Hashim and F. A. Farid, “Crowd Monitoring of Hajj Pilgrimage using Video Analytics and Deep Learning *,” 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Penang, Malaysia, 2022, pp. 1-4, doi: 10.1109/ISPACS57703.2022.10082848.
  • Md Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid. (2021) ‘Video Analytics Using Deep Learning for Hajj Pilgrimage Crowd Density’, Digital Futures International Congress (DIFCON 2021) – The 1st International Conference on Computer, Information Technology and Intelligent Computing (CITIC).
  • Muhammad Nur Hakim Bin Zamri , Junaidi Abdullah, Roman Bhuiyan, Noramiza Hashim, Fahmid Al Farid, (2021) ‘Comparative Analysis of Different Machine and Deep Learning Approaches for Crowd Density Analysis Based on Hajj Pilgrimage’, 7th International Visual Informatics Conference 2021.
  • Fahmid Al Farid Noramiza Hashim, Junaidi Abdullah, Roman Bhuiyan. (2021) ‘Vision Based Hand Gesture Recognition: A Review’, Digital Futures International Congress (DIFCON 2021) –The 1st International Conference on Computer, Information Technology and Intelligent Computing (CITIC).
  • Bari, Ahsanul, Fahmid Al Farid, Md Tanjil Sarker, Sarina Mansor, Hezerul Abdul Karim, Md Roman Bhuiyan, and Hasanul Bannah. “Advancements in Multi-View Human Activity Recognition for Ambient Assisted Living.” In 2024 Multimedia University Engineering Conference (MECON), pp. 1-6. IEEE, 2024.
  • Bari, Ahsanul, Fahmid Al Farid, Md Tanjil Sarker, Sarina Mansor, Hezerul Abdul Karim, Md Roman Bhuiyan, and Hasanul Bannah. “Lightweight Deep Learning for Human Activity Recognition in Ambient Assisted Living.” In 2024 Multimedia University Engineering Conference (MECON), pp. 1-6. IEEE, 2024.