Quwsar Ohi
M.Sc. in Computer Science
Researcher
Contact:
Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani.
Dhaka-1213, Bangladesh
E-mail:
mdabuquwsar.ohi@ucalgary.caTelephone:
Office:
Cell:
University of Calgary Calgary, Canada
Masters, Computer Science Sep 2022 – Aug 2024
• Thesis topic: ”Self-supervised open-set speaker recognition”.
• Teaching assistant for: Information Security and Privacy,
Theoretical Foundations of Computer Science.
Bangladesh University of Business & Technology Dhaka, Bangladesh
Bachelor, Computer Science 2016 – 2020
• Researched & published papers in deep learning, computer
vision, self-supervised learning, & reinforcement learning.
• CGPA: 3.71, top 2% of the year.
Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, and Md. Abdul Hamid: Exploring Optimal
Control of Epidemic Spread Using Reinforcement Learning. Scientific Reports 10.1. Nature Publishing
Group, 2020 [Paper: link, Code: link].
– My contributions: conceptualization, implementation, testing, visualization, writing draft paper.
• Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir, Md Abdul Hamid, and Muhammad Mostafa Monowar:
AutoEmbedder: A Semi-supervised DNN Embedding System for Clustering. Knowledge-Based Systems p.
106190. Elsevier, 2020 [Paper: link, Code: link].
– My contributions: conceptualization, implementation, testing, visualization, writing draft paper.
• Faris A. Kateb, Muhammad Mostafa Monowar, Md. Abdul Hamid, Abu Quwsar Ohi, and Muhammad Firoz
Mridha: FruitDet: Attentive Feature Aggregation for Real-Time Fruit Detection in Orchards. Agronomy
11.12. 2021 [Paper: link, Code: link].
– My contributions: implementation, testing, visualization, writing draft paper.
• Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid, and Muhammad Mostafa Monowar: Deep Speaker
Recognition: Process, Progress, and Challenges. IEEE Access pp. 1–1. 2021 [Paper: link].
– My contributions: implementation, taxonomy, visualization, writing draft paper.
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