Sankalp Pandey

University of Arkansas

Ph.D. in Computer Science (Incoming), advised by Dr. Khoa Luu

Supported by Distinguished Doctoral Fellowship (~$45,000/year total funding for 4 years)

University of Arkansas

B.S. in Computer Science & B.S. in Computer Engineering

Minors: Mathematics, Data Analytics

Senior of Significance

Supported by:

• Arkansas Governor's Distinguished Scholarship ($10,000/year for 4 years)
• University of Arkansas Chancellor's Scholarship ($8,000/year for 4 years)
• University of Arkansas Honors College Research Grant ($4,000)
• Farison Scholarship, College of Engineering ($1,000)
• University of Arkansas Honors College Conference Travel Grant ($1,000)

TIMBRE: Time-aware Multimodal Vision-Brain Encoding

Xuan-Bac Nguyen, Sankalp Pandey, Suhyun Kim, Hojin Jang, Arabinda Kumar Choudhary, Khoa Luu

A time-aware multimodal framework that models temporal neural dynamics to improve vision-brain encoding.

QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery

Xuan-Bac Nguyen, Sankalp Pandey, Suhyun Kim, Hojin Jang, Arabinda Kumar Choudhary, Khoa Luu

A physics-aware instruction-tuning pipeline that improves multimodal reasoning for quantum material discovery.

CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification

Sankalp Pandey, Xuan-Bac Nguyen, Nicholas Borys, Hugh Churchill, Khoa Luu

A continual learning strategy for incremental flake-feature identification with reduced catastrophic forgetting.

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks

Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U. Khan, Ilya Safro, Khoa Luu

A quantum mixture-of-experts architecture that routes inputs to specialized experts for scalable quantum neural networks.

φ-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery

Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu

A physics-informed adaptation method for robust 2D quantum material characterization across imaging domains.

Hidalga Technologies

Software Engineer Intern. Built healthcare AI pipelines for prior-authorization prediction, synthetic FHIR simulation, and automated document validation.

University of Arkansas, Department of EECS

Teaching Assistant supporting introductory programming instruction, grading, and student help sessions.

CSCE 20104 (Programming Foundations II)

CSCE 20004 (Programming Foundations I)