1. Anomalous Behaviour Detection During Online Examination using Video Analytics
2. Identifying Counterfeit Medicine in Bangladesh Using Deep Learning
3. Deep Learning-Based Violence Detection System From Surveillance Video
4. Hand Sign to Bangla Speech: A Deep Learning in Vision based system for Recognizing Hand Sign Digits and Generating Bangla Speech
5. Smart Contract based Pharmaceutical Trading Platform
6. G-TBSA: A Generalized Lightweight Security Algorithm for IoT
7. Blood Cell Detection & Segmentation from Fluorescent Images using K-means Clustering & Morphological Operators
8. Visualizing High-dimensional Outliers By Automatic Dimension Ordering of Parallel Coordinates

Professor
(October 1, 2018 - Present)

Professor and Head
(October 1, 2018 - November 19, 2020)

Associate Professor
(February 01, 2016 to September 30, 2018)
Department of Computer Science and Engineering
University of Asia Pacific

Associate Professor and Head
(February 27, 2014 - January 31, 2016)

Assistant Professor and Head (September 1, 2012 - February 26, 2014)
Department of Computer Science and Engineering
State University of Bangladesh
Dhaka-1205, Bangladesh

Visiting Researcher (March 1, 2012 - April 30, 2012)
Multimedia Communications and Visualization Laboratory
University of Missouri-Columbia
Missouri, USA

Assistant Professor (January 8, 2004 - September 30, 2004)

Lecturer
(November 5, 1998 to January 7, 2004)
Department of Computer Science and Engineering
Shahjalal University of Science and Engineering
Sylhet, Bangladesh.

Part Time Teaching
At spring 2000, 2001, 2002 & 2003
Department of Computer Science, School of Science & Technology
Bangladesh Open University.

Teaching Assistant At winter 2009
Department of Computer Science and Mathematics
University of Groningen
The Netherlands.
Course: Image Processing (masters level): responsibilities included helping students in the laboratory and grading assignments.

At summer 2006
Department of Simulation and Graphics, Otto-Von-Guericke-Universität Magdeburg, Magdeburg, Germany
Course: Pattern Recognition in Image Analysis (masters level).

Research Assistant  At summer 2005 
Max-Planck-Institut für Dynamik komplexer technischer Systeme Magdeburg, Germany.

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Big Data Analytics, Machine Learning, Information Visualization, Image Processing

2023

1. B. J. Ferdosi, M. Rahman, A. M. Sakib, T. Helaly, (2023), "Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination", Human Behavior and Emerging Technologies (Q1 Journal, CiteScore: 14.4,  Impact Factor: 10.3). Accepted for Publication.

2. Farisha Hussain, Muntasir Shofiq, Md Jonayed Sarkar, Bilkis Jamal Ferdosi, A Machine Learning Model for Predicting Neurasthenia in Post-Covid Patients Based on their Baseline Characteristics, 2023 International Conference on Next-Generation Computing, IoT & Machine Learning (NCIM 2023), 16-17 June 2023, Gazipur-1707, Bangladesh.

3. Ferdosi, B.J., Sadi, M., Hasan, N., Rahman, M.A. (2023). Tracking Digital Device Utilization from Screenshot Analysis Using Deep Learning. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-19-6631-6_46

4. Islam, T., Chowdhury, B.R., Youki, R.A., Ferdosi, B.J.(2023). Keeping the Integrity of Online Examination: Deep Learning to Rescue. In: Dutta, P., Bhattacharya, A., Dutta, S., Lai, WC. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1348. Springer, Singapore. https://doi.org/10.1007/978-981-19-4676-9_32

5. A. M. Sakib, B. J. Ferdosi, S. Jahan and K. Jashim, "Medical Text Extraction and Classification from Prescription Images,"2022 25th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2022, pp. 472- 477, doi: 10.1109/ICCIT57492.2022.10055123.

2022

1. A. M. Sakib, B. J. Ferdosi, S. Jahan and K. Jashim, "Medical Text Extraction and Classification from Prescription Images,"2022 25th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2022, pp. 472- 477, doi: 10.1109/ICCIT57492.2022.10055123.

2021

1. Ferdosi B.J., Sakib M.A., Islam M.S., Dhar J. (2021) Identifying Counterfeit Medicine in Bangladesh Using Deep Learning. In: Zimmermann A., Howlett R.J., Jain L.C., Schmidt R. (eds) Human Centred Intelligent Systems. KES-HCIS 2021. Smart Innovation, Systems and Technologies, vol 244. Springer, Singapore. https://doi.org/10.1007/978-981-16-3264-8_5

2020

1. Bilkis Jamal Ferdosi (2020) “Unified Approach for White Blood Cell Segmentation, Feature Extraction, and Counting using Max-Tree Data Structure”, International Journal of Advanced Computer Science and Applications(IJACSA), 11(9), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110979

2019

1. Ferdosi B.J., Tarek M.M. (2019) Visual Verification and Analysis of Outliers Using Optimal Outlier Detection Result by Choosing Proper Algorithm and Parameter. In: Abraham A., Dutta P., Mandal J., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 813. Springer, Singapore. https://doi.org/10.1007/978-981-13-1498-8_45

2. Ahmed, Shahjalal and Islam, Md. Rafiqul and Hassan, Jahid and Ahmed, Minhaz Uddin and Ferdosi, Bilkis Jamal and Saha, Sanjay and Shopon, Md. (2019), Hand Sign to Bangla Speech: A Deep Learning in Vision Based System for Recognizing Hand Sign Digits and Generating Bangla Speech (February 24, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Published in ELSEVIER-SSRN Digital Library. https://ssrn.com/abstract=3358187 or http://dx.doi.org/10.2139/ssrn.3358187

3. S. F. Ahmed, M. R. Islam, T. D. Nath, B. J. Ferdosi and A. S. M. T. Hasan (2019), "G-TBSA: A Generalized Lightweight Security Algorithm for IoT," 2019 4th IEEE International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, pp. 1-6, doi: 10.1109/EICT48899.2019.9068848.

2018

1. Ferdosi, B. J. (2018). Microscopy Cell Counting and Annotation Using a Max-Tree Representation of the Blood Cell Images. In: Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing, pp. 61-65 Aug 2018, ACM. https://doi.org/10.1145/3278229.3278247

2. Ferdosi, B. J., Nowshin, S., & Sabera, F. A. (2018). White Blood Cell Detection and Segmentation from Fluorescent Images with an Improved Algorithm using K-means Clustering and Morphological Operators. In: 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), pp. 566-570 Sep 2019, IEEE. doi: 10.1109/CEEICT.2018.8628068.

3. Tarek, M. M., & Ferdosi, B. J. (2018). External Group Labeling of Objects in 2D Medical Images Using Spring-Mass Model. Journal of Biomedical Engineering and Medical Imaging, 5(2): 40.

2017 and Earlier

1. Faiza Tabassum, Susmita Lopa, Muhammad Masud Tarek, Bilkis Jamal Ferdosi (2017), Obstacle Avoiding Robot, Global Journal of Researches in Engineering: Robotics & Nano-Tech, Volume 17, Issue 1 Page 19-23, Publisher: Global Journals Inc. (USA), 2017

2. B. J. Ferdosi and J. B. T. M. Roerdink, (2011). Visualizing high-dimensional structures by dimension ordering and filtering using subspace analysis, Computer Graphics Forum, 30(3):1121- 1130, May 2011.

3. B. J. Ferdosi, H. Buddelmeijer, S. Trager, M. H. F.Wilkinson, and J. B. T. M. Roerdink (2010). Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological operators. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST). Saltlake city, USA, 35-42, October 2010.

4. B. J. Ferdosi, H. Buddelmeijer, S. Trager, M. H. F. Wilkinson, and Jos B. T. M. Roerdink (2011). Comparison of Density Estimation Methods for Astronomical Datasets. Astronomy & Astrophysics (A&A), 531:A114, 2011.

5. M. M. Tarek and B. J. Ferdosi (2013), 2D Gray Level Texture Segmentation: Statistical Features Extraction and Clustering Technique Approach with Efficient Cluster Centers, Journal of SUB, 4(2): 1- 8, July 2013.

6. B. J. Ferdosi, Y. J. Ferdosi (2007), Metropolis Monte-Carlo Computer Simulation of the Phase Behavior of Quaternary Water/Reactant/Oil/Surfactant Systems – in ASIMMOD 2007 (International Conference on Simulation & Modelling), January 2007, Chiang Mai, Thailand.

7. M. M. Tarek, B. J. Ferdosi, M. Z. Iqbal(2003), A Non-Linear Scheduling System with Multi Parameters, in 6th International Conference on Computers and Information Technology 2003(ICCIT2003), December 2003, Vol. I, Page No.93.

Posters

1. B. J. Ferdosi, H. Buddelmeijer, A. Helmi, S. C. Trager, E. A. Valentijn, M. H. F. Wilkinson, J. M. van der Hulst, and J. B. T. M. Roerdink, Comparison of Density Estimation Methods for Astronomical Datasets, SIREN: Scientific ICT Research Event Netherlands, November 5, 2009, Twente.

2. B. J. Ferdosi, H. Buddelmeijer, A. Helmi, S. C. Trager, E. A. Valentijn, M. H. F. Wilkinson, J. M. van der Hulst, and J. B. T. M. Roerdink, “Visualizing Astronomical Data”, SIREN: Scientific ICT Research Event Netherlands, September 29, 2008, Amsterdam.

3. B. J. Ferdosi, H. Buddelmeijer, A. Helmi, S. C. Trager, E. A. Valentijn, M. H. F. Wilkinson, J. M. van der Hulst, and J. B. T. M. Roerdink, Visualization of Very Large High-Dimensional Astronomical Data Sets, SIREN: Scientific ICT Research Event Netherlands, 30 October 2007, Delft.