Research mentoring at PNNL

At PNNL, I mentored five interns from August 2025 to May 2026 on graph neural networks, circuit representation learning, and cybersecurity. This mentoring contributed to three accepted publications.

Students & collaborators

Mohammad Fakhruddin Babar

Washington State University · FY2025

Cybersecurity risk prioritization and vulnerability analysis.

Sai Karthik Navuluru

UT Dallas · FY2026

Graph neural networks, circuit representation learning, equivalence checking, and graph sparsification. Coauthor on the Scaffold, EDiS, and GNN unification preprints.

Tamim Ahmed

Washington State University · FY2026

Cybersecurity root-cause analysis and vulnerability-to-weakness mapping.

Mukundan Adi

University of Iowa, MS Computer Science · FY2026

Cybersecurity knowledge graph construction.

Moqsudur Rahman

University of Texas at El Paso, PhD Computer Science · FY2025

Cybersecurity attack-pattern analysis and threat intelligence.

Teaching experience

Aug 2018 – May 2019

Purdue University, Department of Computer Science

Graduate Research Assistant

Courses: Algorithms, Data Structures, and others.

Aug 2014 – Jul 2018

Bangladesh University of Engineering and Technology (BUET), Department of Computer Science and Engineering

Assistant Professor / Lecturer

Courses: Machine Learning, Artificial Intelligence, Computer Graphics, Data Communication, and others.