Published a paper on polymorphism crystal structure prediction in Advanced Science (September 26, 2025).
Research Experience
Graduate Research Assistant at the Machine Learning and Evolution Laboratory under the supervision of Dr. Jianjun Hu (January 2022 - Present), focusing on AI techniques like graph neural networks, transformers, and diffusion models for materials informatics; Summer Intern at KLA (May 2025 - August 2025), developed an unsupervised continual transfer learning framework for predicting critical dimensions of semiconductor wafers.
Education
Ph.D. in Computer Science and Engineering at the University of South Carolina (August 2021 - Present), advised by Dr. Jianjun Hu; M.S. (en route to Ph.D.) in Computer Science at the University of South Carolina (August 2021 - December 2024); B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (February 2015 - April 2019).
Background
Ph.D. Candidate with a focus on using AI and ML to solve problems in the materials science domain. Aims to integrate advanced AI/ML techniques with fundamental scientific principles to address real-world scientific challenges, particularly crystal structure prediction.
Miscellany
Served as a Graduate Teaching Assistant for General Applications Programming (CSCE 102) at the University of South Carolina (August 2023 - Present), teaching HTML, CSS, and JavaScript, and responsible for preparing and grading exams and assignments.