Resume
Academic Achievements
- 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.