Intelligent Edge Computing: State-of-the-art Techniques and Applications. - Waris Gill; Öznur Özkasap; Attila Gürsoy (SIU, 2020)

Demo - Zelig: Customizable Blockchain Simulator. - Ege Erdogan; Can Arda Aydin; Öznur Özkasap; Waris Gill (CoRR, 2021)

FedDebug: Systematic Debugging for Federated Learning Applications. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (ICSE, 2023)

FedDefender: Backdoor Attack Defense in Federated Learning. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (SE4SafeML@SIGSOFT FSE, 2023)

ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (CoRR, 2023)

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration. - Zain ul Abdeen; Xiangyu Zhang 010; Waris Gill; Ming Jin 002 (SmartGridComm, 2024)

Privacy-Aware Semantic Cache for Large Language Models. - Waris Gill; Mohamed Elidrisi; Pallavi Kalapatapu; Ali Anwar 001; Muhammad Ali Gulzar (CoRR, 2024)

TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance. - Waris Gill; Ali Anwar 001; Muhammad Ali Gulzar (ICSE, 2025)

MeanCache: User-Centric Semantic Caching for LLM Web Services. - Waris Gill; Mohamed Elidrisi; Pallavi Kalapatapu; Ammar Ahmed; Ali Anwar 001; Muhammad Ali Gulzar (IPDPS, 2025)

Are the Majority of Public Computational Notebooks Pathologically Non-Executable? - Tien Nguyen; Waris Gill; Muhammad Ali Gulzar (MSR, 2025)

Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data. - Waris Gill; Justin Cechmanek; Tyler Hutcherson; Srijith Rajamohan; Jen Agarwal; Muhammad Ali Gulzar; Manvinder Singh; Benoit Dion (CoRR, 2025)

How Accurately Do Large Language Models Understand Code? - Sabaat Haroon; Ahmad Faraz Khan 001; Ahmad Humayun; Waris Gill; Abdul Haddi Amjad; Ali R. Butt; Mohammad Taha Khan; Muhammad Ali Gulzar (CoRR, 2025)