Sankalp Pandey

Hello, I'm Sankalp Pandey

I am a Ph.D. student at the University of Arkansas, advised by Dr. Khoa Luu. I conduct research in the Quantum AI Lab and the Computer Vision and Image Understanding Lab, where my work focuses on agents and multimodal reasoning for scientific discovery.

I previously received my B.S. in Computer Science and B.S. in Computer Engineering from the University of Arkansas.

I also love learning about history and playing sports like tennis, basketball, and pickleball.

Updates

Publications

Fair-MPO overview and benchmark results

Agentic Multi-Turn Reasoning: A Fairness Approach

Thanh-Dat Truong, Sankalp Pandey, Hugh Churchill, Jackson Cothren, Marios Savvides, Khoa Luu

Fair Multi-Level Preference Optimization (Φ-MPO), which tackles long-horizon credit assignment and imbalanced training data for multi-turn, tool-using agents.

NeurIPS 2026

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

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

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

CVPR Findings, 2026

CLIFF

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.

NeurIPS AI for Accelerated Materials Discovery Workshop, 2025

QMoE

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.

IEEE QCE QCRL Workshop, 2025