Experience

Experience

Research, teaching, and education. The full record is in my CV.

Download CV

Research

Research positions

May 2022 – present

Graduate Research Assistant

iHARP: NSF HDR Institute, UMBC · Baltimore, MD

  • Build causal representation learning and time series methods, tested first on polar science data.
  • Turn open polar science questions into machine learning problems with glaciologists, atmospheric scientists, and data scientists across eight institutions.
  • Release code and data on GitHub, Zenodo, and PyPI (rictsc).
Jul 2025 – Apr 2026

Team Lead, Support Team

NSF HDR Machine Learning Challenge (Year 2), iHARP · Baltimore, MD

  • Led the four-person team that implemented, ran, and evaluated iHARP’s sub-challenge, Predicting Coastal Flooding Events.
  • The challenge drew 2,709 submissions from 151 participants, with $4,000 in prizes plus AWS and NVIDIA cloud credits.
Aug 2021 – May 2022

Graduate Research Assistant

Department of Computer Science, Florida International University · Miami, FL

  • Developed machine learning models for distributed cache management in the NSF Caching‑as‑a‑Service project.

Teaching

Teaching positions

Fall 2024 – Spring 2026

Guest Lecturer and Workshop Instructor

Department of Information Systems and iHARP, UMBC

  • Guest lectures in two graduate courses (IS 733 Data Mining; IS 790 Causal AI), and led the iHARP Explainable AI workshop.
Aug 2022 – May 2024

Graduate Teaching Assistant

Department of Information Systems, UMBC

  • Supported four courses, three of them graduate courses; taught the weekly labs for IS 320 and ran team peer evaluations for IS 636.
Jan 2018 – Jul 2021

Lecturer

Department of Computer Science and Engineering, Port City International University · Chittagong, Bangladesh

  • Taught twelve undergraduate computer science courses and advised about 20 thesis students; four theses led to six peer‑reviewed papers.

Education

Education

Expected May 2027

Ph.D. in Information Systems

University of Maryland, Baltimore County

  • Advisor: Dr. Md Osman Gani, Causal Artificial Intelligence Lab.
  • Dissertation: Causal Representation Learning for Dynamical Systems: Uncovering Causal Mechanisms in Climate Science.
Dec 2023

M.S. in Information Systems

University of Maryland, Baltimore County

2019

M.S. in Computer Science and Engineering

University of Chittagong, Bangladesh

2017

B.Sc. in Computer Science and Engineering

University of Chittagong, Bangladesh

Get in touch

I am always happy to talk about research, collaborations, and teaching.

Department of Information Systems, UMBC
Baltimore, Maryland