My primary research interest is Reinforcement Learning, particularly applied RL in Data Science. I am interested in how sequential decision-making methods can be used to solve practical problems involving uncertainty, optimization, adaptation, and data-driven control.

I am also interested in applied Machine Learning and Deep Learning across different application domains.

Graph Theory holds a particularly strong personal appeal for me. Its structures, abstractions, and problem-solving perspectives genuinely intrigue me, and I enjoy exploring and brainstorming graph-based problems even outside formal academic work.

Cost-Reliability Tradeoff in Deep Reinforcement Learning for Residential Battery Control under Chronic Load Shedding - Ihzaz Abrar Sadik (Under review at ICECE 2026)

Adjunct Lecturer
Dept. of CSE, BRACU 

(August 2024 - September 2025)

Full-time Lecturer
Dept. of CSE, BRACU 

(21 September 2025 - Present)

CSE350 Theory Coordinator

(February 2025 - Present)

  Regional Champion & 2^nd Runner Up respectively at 2018 & 2016 Bangladesh Mathematical Olympiad

  1^st at National Science Olympiad Divisional Round 2016

    5^th (Countrywide) & 1^st (Divisionally) at Informatics Olympiad 2014

 8^th at Bangladesh Physics Olympiad Divisional Round 2014

Talent Pool (Board Merit 38) & General (Board Merit 21) Scholarship respectively in HSC & SSC