Sankalp Pandey

University of Arkansas

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

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

University of Arkansas

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

Minors: Mathematics, Data Analytics

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

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

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.

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.

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 for CSCE 20104 (Programming Foundations II) and CSCE 20004 (Programming Foundations I)