CSE:BUBT - Bangladesh University of Business and Technology

Md. Abu Quwsar Ohi

(On Study Leave)

Lecturer

Department of Computer Science & Engineering

Contact:

Department of Computer Science and Engineering (CSE)

Bangladesh University of Business and Technology
(BUBT)Mirpur, Dhaka-1216, Bangladesh

E-mail:

quwsarohi@bubt.edu.bd

Telephone:

Office:
Cell: +8801821659485

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BSc Computer Science & Engineering, 2020

Department of Computer Science & Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh.

Abu Quwsar Ohi is a computer science graduate and currently working as a lecturer and research assistant at Bangladesh University of Business and Technology in the Department of Computer Science and Engineering (BUBT). His research focuses on deep learning algorithms, pattern recognition, computer vision, and reinforcement learning. He has multiple publications in a short period and received an annual publication award for his first year of research work (2020). Moreover, he is proficient in prominent frameworks, including TensorFlow, Keras, NumPy, Matplotlib, etc. Apart from his research works, he is a Competitive Programmer and has attained more than 10 Bangladeshi national programming contests, including National Collegiate Programming Contest (NCPC) and International Collegiate Programming Contest (ICPC). He is passionate about learning fundamental algorithms, including data structures, dynamic programming, and game theory. He has experience working in famous languages, including Python and C++.

Lecturer: April 2020 to till Date
Department of Computer Science and Engineering, Bangladesh University of Business and Technology

(BUBT), Dhaka, Bangladesh.

Responsibilities: Conducting courses, managing programming contests.

Research Assistant: August 2019 to till Date

Department of Computer Science and Engineering, Bangladesh University of Business and Technology

(BUBT), Dhaka, Bangladesh.

Responsibilities: Conducting research, publcation, managing lab activities, conducting research workshops.

Programming

Artificial Intelligence
Deep Learning
Computer Vision
Speech Processing
Reinforcement Learning
Research and Development

Deep Learning
Computer Vision
Pattern Recognition
Reinforcement Learning

Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, Md. Abdul Hamid (December, 2020), "Optimal control of epidemic spread using reinforcement learning” In: Scientific Reports 10.1. DOI: 10.1038/s41598-020-79147-8. URL: https://doi.org/10.1038/s41598-020-79147-8.
M. M. Kabir, M. F. Mridha, J. Shin, I. Jahan and Abu Quwsar Ohi, "A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities," in IEEE Access, doi: 10.1109/ACCESS.2021.3084299.
A. Q. Ohi, M. F. Mridha, M. A. Hamid, M. M. Monowar and F. A. Kateb, "FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets," IEEE Access, vol. 9, pp. 13224-13236, 2021, doi: 10.1109/ACCESS.2021.3051980.
Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir, Md. Abdul Hamid, Muhammad Mostafa Monowar, “AutoEmbedder: A semi-supervised DNN embedding system for clustering,” Knowledge-Based Systems, Volume 204, 2020, 106190, ISSN 0950-7051. doi: https://doi.org/10.1016/j.knosys.2020.106190.
M.F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir, “BanglaWriting: A multi-purpose offline Bangla handwriting dataset,” Data in Brief, Volume 34, 2021, 106633, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2020.106633.
Abu Quwsar Ohi, MF Mridha, Md Abdul Hamid, Muhammad Mostafa Monowar, Dongsu Lee, et al. (2020). “A Lightweight Speaker Recognition System Using Timbre Properties”. In: The Journal of Contents Computing 2.1, pp. 139–151. DOI: 10.9728/jcc.2020.06.2.1.139.
Abu Quwsar Ohi, MF Mridha, Md Abdul Hamid, Muhammad Mostafa Monowar, Md Ferdous Mridha, et al. (2020). “Full Dynamic Transmission Model and Threat Analysis of COVID-19”. In: The Journal of Contents Computing 2.1, pp. 127–138. DOI:10.9728/jcc.2020.06.2.1.127.
Mridha, M. F., Abu Quwsar Ohi, Md Abdul Hamid, and Muhammad Mostafa Monowar. "A study on the challenges and opportunities of speech recognition for Bengali language." Artificial Intelligence Review (2021): 1-25.
Kateb, F.A.; Monowar, M.M.; Hamid, M.A.; Ohi, A.Q.; Mridha, M.F. FruitDet: Attentive Feature Aggregation for Real-Time Fruit Detection in Orchards. Agronomy 2021, 11, 2440. https://doi.org/10.3390/agronomy11122440.
Mridha, M.F.; Hamid, M.A.; Monowar, M.M.; Keya, A.J.; Ohi, A.Q.; Islam, M.R.; Kim, J.-M. A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis. Cancers 2021, 13, 6116. https://doi.org/10.3390/cancers13236116.
A. Q. Ohi, M. F. Mridha, M. A. Hamid and M. M. Monowar, "Deep Speaker Recognition: Process, Progress, and Challenges," in IEEE Access, vol. 9, pp. 89619-89643, 2021, doi: 10.1109/ACCESS.2021.3090109.
M. M. Kabir, M. F. Mridha, J. Shin, I. Jahan and A. Q. Ohi, "A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities," in IEEE Access, vol. 9, pp. 79236-79263, 2021, doi: 10.1109/ACCESS.2021.3084299.
Mridha, M.F.; Ohi, A.Q.; Monowar, M.M.; Hamid, M.A.; Islam, M.R.; Watanobe, Y. U-Vectors: Generating Clusterable Speaker Embedding from Unlabeled Data. Appl. Sci. 2021, 11, 10079. https://doi.org/10.3390/app112110079.

Kabir M.M., Ohi A.Q., Mridha M.F. (2021) A Multi-Plant Disease Diagnosis Method Using Convolutional Neural Network. In: Uddin M.S., Bansal J.C. (eds) Computer Vision and Machine Learning in Agriculture. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6424-0_7

F. B. Safir, A. Q. Ohi, M. F. Mridha, M. M. Monowar and M. A. Hamid, "End-to-End Optical Character Recognition for Bengali Handwritten Words," 2021 National Computing Colleges Conference (NCCC), 2021, pp. 1-7, doi: 10.1109/NCCC49330.2021.9428809.
M. M. Kabir, A. Q. Ohi, M. S. Rahman and M. F. Mridha, "An Evolution of CNN Object Classifiers on Low-Resolution Images," 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Charlotte, NC, USA, 2020, pp. 209-213, doi: 10.1109/HONET50430.2020.9322661.
M. F. Mridha, M. S. Rahman and A. Q. Ohi, "Human Abnormality Detection Based on Bengali Text," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 1102-1105, doi: 10.1109/TENSYMP50017.2020.9230629.
S. Sukhi, A. Q. Ohi, M. S. Rahman and M. F. Mridha, "A Survey on Bengali Image Captioning: Architectures, Challenges, and Directions," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-5, doi: 10.1109/ICSCT53883.2021.9642554.

Annual Publication Award (2020), BUBT
Received an annual publication award for publications in the calendar year 2020.
Research Appreciation
Received appreciation from honorable Vice Chancellor (BUBT) for publication in Scientific Report.

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