Balanced Split: A new train-test data splitting strategy for imbalanced datasets. - Azal Ahmad Khan (CoRR, 2022)

PI-FL: Personalized and Incentivized Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Azal Ahmad Khan; Haider Ali; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (CoRR, 2023)

Personalized Federated Learning Techniques: Empirical Analysis. - Azal Ahmad Khan; Ahmad Faraz Khan 001; Haider Ali; Ali Anwar 001 (IEEE Big Data, 2024)

Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. - Azal Ahmad Khan; Sayan Alam; Xinran Wang; Ahmad Faraz Khan 001; Debanga Raj Neog; Ali Anwar 001 (IEEE Big Data, 2024)

FLOAT: Federated Learning Optimizations with Automated Tuning. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Ahmed M. Abdelmoniem; Samuel Fountain; Ali Raza Butt; Ali Anwar 001 (EuroSys, 2024)

A Quantum-Inspired Predator-Prey Algorithm for Real-Parameter Optimization. - Azal Ahmad Khan; Salman Hussain; Rohitash Chandra (Algorithms, 2024)

A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation. - Azal Ahmad Khan; Omkar Chaudhari; Rohitash Chandra (Expert Syst. Appl., 2024)

IP-FL: Incentive-Driven Personalization in Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Zain ul Abdeen; Azal Ahmad Khan; Haider Ali; Ming Jin 002; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (IPDPS, 2025)

LADs: Leveraging LLMs for AI-Driven DevOps. - Ahmad Faraz Khan 001; Azal Ahmad Khan; Anas Mohamed; Haider Ali; Suchithra Moolinti; Sabaat Haroon; Usman Tahir; Mattia Fazzini; Ali Raza Butt; Ali Anwar 001 (CoRR, 2025)

Safety Aware Task Planning via Large Language Models in Robotics. - Azal Ahmad Khan; Michael Andrev; Muhammad Ali Murtaza; Sergio Aguilera; Rui Zhang 028; Jie Ding 002; Seth Hutchinson 001; Ali Anwar 001 (CoRR, 2025)

Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering. - Anas Mohamed; Azal Ahmad Khan; Xinran Wang; Ahmad Faraz Khan 001; Shuwen Ge; Saman Bahzad Khan; Ayaan Ahmad; Ali Anwar 001 (CoRR, 2025)