Experience

Focused on healthcare AI, machine learning, student mental health analytics, manuscript development, and explainable AI.

• Protecting Student Mental Health with a Context Aware Machine Learning Framework for Stress Monitoring
  Contributed to a context aware machine learning framework for student stress monitoring and mental health support.
• Psychometric Validation and Explainable Reduced Item Depression Severity Stratification in Bangladeshi University Students
  Worked on depression severity stratification, psychometric validation, and explainable machine learning for student mental health analysis.

Focused on network intrusion detection systems, 3D decision space visualization, misclassification analysis, and cybersecurity.

• An Interactive 3D Decision Space Visualization Framework for Misclassification Analysis in Machine Learning Driven Network Intrusion Detection Systems
  Developed an interactive 3D visualization framework to analyze model behavior and misclassification patterns in NIDS datasets. This thesis was completed in fulfillment of the B.Sc. requirements of the University of Rajshahi.

Taught Mathematics and ICT at the Higher Secondary level, equivalent to Grades 11 and 12. Supported students with academic preparation, problem solving, and structured learning practice.

Taught Mathematics for Cadet College admission preparation, with emphasis on problem solving, examination practice, and concept based learning.

Participated in AI and machine learning discussions, technical knowledge sharing, and professional community engagement.

Supported student outreach, course awareness, and technology learning engagement at the campus level.

Presented research on student stress monitoring at the 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and Networking.