Prescribed Performance Control for Solving Time-Varying Underdetermined Linear Systems With Bounds on States and Their Derivatives. - Chandan Kumar Sah; Jishnu Keshavan (IEEE Trans. Ind. Informatics, 2023)

Navigating the AI Frontier: A Critical Literature Review on Integrating Artificial Intelligence into Software Engineering Education. - Chandan Kumar Sah; Xiaoli Lian; Muhammad Mirajul Islam; Md. Kamrul Islam (CSEE&T, 2024)

Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems. - Chandan Kumar Sah; Xiaoli Lian; Muhammad Mirajul Islam (CoRR, 2024)

Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems. - Rajpal Singh; Chandan Kumar Sah; Jishnu Keshavan (CoRR, 2024)

RUL forecasting for wind turbine predictive maintenance based on deep learning. - Syed Shazaib Shah; Tan Daoliang; Chandan Kumar Sah (CoRR, 2024)

Real-Time Constrained Tracking Control of Redundant Manipulators Using a Koopman-Zeroing Neural Network Framework. - Chandan Kumar Sah; Rajpal Singh; Jishnu Keshavan (IEEE Robotics Autom. Lett., 2024)

CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates. - Ankit Kumar Shaw; Kun Jiang 002; Tuopu Wen; Chandan Kumar Sah; Yining Shi 002; Mengmeng Yang 001; Diange Yang; Xiaoli Lian (CVPR Workshops, 2025)

Event-Based Adaptive Koopman Framework for Optic Flow-Guided Landing on Moving Platforms. - Bazeela Banday; Chandan Kumar Sah; Jishnu Keshavan (CoRR, 2025)

Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection. - Chandan Kumar Sah; Ankit Kumar Shaw; Xiaoli Lian; Arsalan Shahid Baig; Tuopu Wen; Kun Jiang 002; Mengmeng Yang 001; Diange Yang (CoRR, 2025)

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness. - Chandan Kumar Sah; Xiaoli Lian; Tony Xu; Li Zhang (CoRR, 2025)