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What's Up!?

Dec 2024: Cross-affiliated with School of Computing and School of Rehabilitation Therapy, Queen’s University to work on automated literature analysis!

Sept 2024: Started Ph.D. in Computing from School of Computing, Queen's University! Supervised by Professor Farhana Zulkernine!

Aug 2024: Graduated with Masters in Computing from School of Computing, Queen's University!

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Research Experience

HealthSci Research Assistant (Dec 2024 - Present)

Cross Affiliation with School of Computing and School of Rehabilitation Therapy, Queen’s University

Supervisor: Professor Farhana Zulkernine, Ph.D., P.Eng and Assoc Professor Nora Fayed, Ph.D.

Conduct research on:

• Surveying automated systematic literature review.
• Advanced NLP algorithm for relevant article screening and article classification

Graduate Research Assistant (Sept 2022 - Present)

Big Data Analytics and Management Lab, School of Computing, Queen’s University

Supervisor: Professor Farhana Zulkernine, Ph.D.

Conduct research on:

• Liveness detection in face authentication.
• Explainability in multimodal AI with vision-language models.

Research Intern (Oct 2022 - Feb 2023)

MITACS Accelerate Intern - Pfizer Canada

• Extracted, transformed, and analyzed Electronic Health Records to understand patient clinical characteristics, demographics, and comorbidities using Pandas, mySQL, numpy, sklearn, and visualization with seaborn.
• Conducted statistical prediction with k-means clustering and logistic regression.

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Industry Experience

Front-end Developer (Jan 2024 - Present)

Smith School of Electrical and Computer Engineering, Queen’s University

• Develop a visualization research tool for streaming data from PID controllers using: Python Socket IO, HTML5, CSS3, JavaScript.
• Document tool for paper publication on tools (submitted to NFM2025).

Machine Learning Engineer (Aug 2019 - Jul 2022)

Silicon Orchard Ltd ,Dhaka, Bangladesh

Conduct research on:

• Built an internal HR data analytics tool based on text data using NLP techniques.
• Developed a Stylometric Analysis algorithm for Authorship Attribution.
• Developed a deep Reinforcement Learning algorithms for recommendation systems.
• Developed speech recognition algorithm for smart home systems.
• Exhibited efficient team management and software development in Django.

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Other Experience

Graduate Teaching Assistant (Jan 2023 - Present)

School of Computing, Queen’s University

Several 200s,300s and 400s CISC courses in AI and Software Engineering.

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Certifications

Deep Learning by DeepLearning.AI

TensorFlow in Practice by DeepLearning.AI

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