Research

 

Research Grants

  1. CI: Compute grant, Pawsey Partner Merit Allocation, 100 kSU CPU and 3,500 kSU GPU on my PhD project "Multi-modal Language Model for Measuring Human Empathy" 2026
  2. IEEE SMC 2025 Student and Young Professional Travel Grant (USD 600) 2025
  3. CI: Compute grant, Pawsey Partner Merit Allocation, 1000 kSU CPU and 9,000 kSU GPU on my PhD project "Multi-modal Language Model for Measuring Human Empathy" 2025
  4. Co-PI: Research Seed Grant Initiative, BRAC University, Design and Development of a 3D-printed MEMS-based Stethoscope for Real-time Heart Monitoring and Cardiovascular Disease Prediction Using Machine Learning to Assist Medical Professionals ($8,000) 2024–2025
  5. CI: Compute grants, 2024 Pawsey Partner Merit Allocation 2024
    • Neural architecture search to detect empathy in videos (800 kSU CPU and 1100 kSU GPU)
    • Computational Modelling of Human Verbal and Non-verbal Behaviour for Social Good (800 kSU CPU and 1100 kSU GPU)
 

Awards

  1. "Best Publication", Curtin School of Electrical Engineering, Computing and Mathematical Sciences HDR Forum 2025
  2. 2025 IEEE SPS Scholarship (USD 2,000) [Certificate of Recognition] 2025
  3. 2024 IEEE SPS Scholarship (USD 2,000 & IEEE + SPS free memberships) [Certificate of Recognition] 2024
  4. Quality Journal Publication Award, BRAC University, Bangladesh ($950 cash prize) [News] [Booklet] 2024
  5. Curtin HDR Scholarship (Tuition & Stipend Scholarship valued $245K) Dec. 2022 – Jun. 2026
  6. Seeds for the Future 2018 Champion by Huawei Technologies Co. Ltd 2018
  7. University Dean’s Award for three consecutive academic years, KUET, Bangladesh 2015-16 – 2017-18
  8. Higher Secondary Board Stipend under Jashore Education Board, Bangladesh 2015 – 2019
 

Current research interests

 

Research talks

I am available to deliver talks across my research areas including (but not limited to) –

  1. A practical, hands-on workflow of LLM few-shot prompting for research projects using Python through free Google Colab and a free LLM API, so attendees can try it during the session. I will demonstrate how to embed example input-output pairs (known as few-shot prompting) to calibrate outputs for a target domain, and how to analyse the explainability of LLM output to ensure trustworthiness.
  2. Recent progress on robust empathy detection in text and video interactions, while addressing three specific challenges – (1) robust learning with noisy labels, (2) cross-subject generalisation and privacy-aware method for video-based detection, and (3) uncertainty quantification – that are also applicable to general AI tasks.

Conferences

2025

2024

2023

2022

2020

2019

 

Community engagements

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