Chandan Kumar Sah

According to our database, Chandan Kumar Sah authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems.

Chandan Kumar Sah, Xiaoli Lian, Li Zhang, Tony Xu, Syed Shazaib Shah

CoRR, February, 2026

2025

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.

Chandan Kumar Sah, Xiaoli Lian, Tony Xu, Li Zhang

CoRR, April, 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, Mengmeng Yang, Diange Yang

CoRR, March, 2025

Adaptive Koopman embedding for robust control of nonlinear dynamical systems.

Rajpal Singh, Chandan Kumar Sah, Jishnu Keshavan

Int. J. Robotics Res., 2025

Understanding Uncertainty In LLMs.

Chandan Kumar Sah

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Event-Based Adaptive Koopman Framework for Optic Flow-Guided Landing on Moving Platforms.

Bazeela Banday, Chandan Kumar Sah, Jishnu Keshavan

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

SafeRoute: Enhancing Traffic Scene Understanding via a Unified Deep Learning and Multimodal LLM.

Ankit Kumar Shaw, Chandan Kumar Sah, Xiaoli Lian, Arsalan Shahid Baig, Tuopu Wen, Kun Jiang, Mengmeng Yang, Diange Yang, Li Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?

Chandan Kumar Sah

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates.

Ankit Kumar Shaw, Kun Jiang, Tuopu Wen, Chandan Kumar Sah, Yining Shi, Mengmeng Yang, Diange Yang, Xiaoli Lian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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., February, 2024

RUL forecasting for wind turbine predictive maintenance based on deep learning.

Syed Shazaib Shah, Tan Daoliang, Chandan Kumar Sah

CoRR, 2024

Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems.

Rajpal Singh, Chandan Kumar Sah, Jishnu Keshavan

CoRR, 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

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

Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2023

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, March, 2023