I am a distributed systems researcher at IBM Almaden Research Center. I joined IBM Research Almaden in June of 2018 as a research staff member in the AI Platforms team managed by Heiko Ludwig. I hold a Ph.D. degree in Computer Science from Virginia Tech (VT), and both Masters in Computer Engineering and Bachelors in Electrical Engineering from University of Engineering and Technology (UET Lahore). In my earlier years I worked as a tools developer (GNU GDB) at Mentor Graphics.
The overarching goal of my research is to enable efficient and flexible systems for the growing data demands of modern high-end applications running on existing as well as emerging computing platforms. My current ongoing work focuses on (1) addressing systems challenges for distributed machine/federated learning, (2) building efficient serverless and microservice-based systems, and (3) efficient storage for Docker containers.
My research has appeared in a number of premier conferences and workshops in computer systems, AI/ML, and high-performance computing, including USENIX FAST, ATC, HotStorage, ACM/IEEE SC, ACM HPDC, and AISec [Best Paper Award]. I regularly perform professional community services and have served as a program committee member for top conferences such as SC, HPDC, ICDCS, MSST, CCGrid, and a reviewer for journals like ToS, TPDS, TKDE, TCC and JPDC. At IBM, I have been recognized as a 2019 Outstanding Research Accomplishment winner for Advancing Adversarial Robustness in AI Models.
You can find the list of my publications and patents in the corresponding sections. I actively collaborate with academic community and serve as a reviewer for conferences, journals, and research proposals.