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Mitacs Accelerate Intern

Research and development internship focused on innovative technologies in healthcare.

• Healthcare

Teaching Assistant

Supported game development and HCI courses with hands-on demonstrations and evaluations

• Teaching

Senior Engineer, MLOps

Led web applications and ML-assisted annotation services, including the development of in-house platforms

• MLOps
• Leadership

Senior AI Engineer

Trained AI agents, developed esports prediction systems, and supervised ML engineering projects.

• Reinforcement Learning
• Leadership

PhD

Concordia University

Human-Computer Interaction

BSc

Independent University, Bangladesh

Computer Science

Virtual Task Environments Factors Explored in 3D Selection Studies

ACM

This study analyzes 909 HCI papers from major repositories to classify virtual task environments in 3D selection methods, offering insights into user studies and advancing virtual interaction understanding.

Subtask-Based Virtual Hand Visualization Method for Enhanced User Accuracy in Virtual Reality Environments

IEEE

The paper presents a subtask-based virtual hand visualization method designed to improve user accuracy and interaction performance in virtual reality environments.

EEG-Based Preference Classification for Neuromarketing Application

Computational Intelligence and Neuroscience

The paper explores the use of EEG signals to classify user preferences for neuromarketing applications, aiming to enhance consumer behavior insights through brain-computer interface technologies.

Use of spontaneous blinking for application in human authentication

Engineering Science and Technology

The paper investigates the potential of spontaneous blinking patterns as a biometric feature for reliable human authentication.

Effect of Artefact Removal Techniques on EEG Signals for Video Category Classification

IEEE

The study evaluates how different artifact removal techniques, specifically Stationary Wavelet Transform (SWT) and an extended SWT technique (SWTSD), impact the accuracy of EEG-based video category classification, finding that SWTSD can improve classification accuracy by up to 7.2%.

Implementation of Low Cost Stereo Humanoid Adaptive Vision for 3D Positioning and Distance Measurement for Robotics Application with Self-Calibration

IEEE

The paper presents a low-cost stereo vision system for humanoid robots, enabling 3D positioning and distance measurement with self-calibration capabilities.

Computational Intelligence for Pattern Recognition in EEG Signals

Springer

The chapter discusses how computational intelligence techniques enhance pattern recognition in EEG signals, improving applications in medicine, psychology, and rehabilitation.

Effect of EMG artifacts on video category classification from EEG

IEEE

The study examines the impact of EMG artifacts on EEG signals used for video category classification, highlighting that the presence of EMG artifacts can significantly affect classification performance.

Video Category Classification Using Wireless EEG

Springer

The study demonstrates that EEG signals recorded via a wireless headset can be analyzed to classify the genre of videos being watched, achieving up to 80% accuracy, with the right frontal lobe (AF8 channel) providing the most predictive data.

2D Surface Mapping for Mine Detection via Wireless Networking

IEEE

The paper presents a prototype mapping robot system, MinerBot, designed to create real-time 2D surface maps of areas, aiding in mine detection.

FRS Scholarship for PhD

Concordia University

CAD 22,000/year research funding for PhD students.

Concordia International Tuition Award of Excellence

Concordia University

CAD 44,893 tuition scholarship for international students.

SECS Award

Independent University, Bangladesh

Recognized for outstanding academic achievements.