I’m an Assistant Professor in Computer Science and Engineering Department at the University of Minnesota. Before joining UMN, I worked at IBM Research as a Research Staff Member. In my earlier years, I gained invaluable experience working as a tools developer on several open-source projects (GNU GDB, Embedded Linux, U-Boot, and BusyBox) at Mentor Graphics.

I work at the intersection of distributed systems and machine learning. My research aims to construct efficient and adaptable systems capable of meeting the escalating data requirements of modern applications. Currently, my focus is on Distributed Machine/Federated Learning systems, serverless and microservice-based systems, and quantum computing systems. Over the years, my work has been recognized with several Best Paper awards. I’ve also been acknowledged with multiple awards from IBM, and I am a co-inventor on more than 15 US patents.

Recent News

  • Paper accepted in EuroSys’24. Congratulations to Ahmad, Azal, Sam, and the team!
  • Paper accepted in Transactions on Storage. Congratulations to Nannan and the team!
  • 🏆 Excited to receive a Samsung GRO 2023 Award on New Storage for Large ML Training (w/ Yue Cheng from UVA). Thanks, Samsung Advanced Institute of Technology, for the generous support on our research!
  • Paper accepted in IEEE BigData’23. Congratulations to Ahmad and Xinran!
  • 🏆 Best paper award from ACM SYSTOR’23 for our work on serving files efficiently in serverless computing.
  • Paper Proposal accepted in I2Q (ISCA’23). Congratulations to Xinran and Connor!
  • Extended Abstract accepted in QCCC (HPDC’23). Congratulations to Xinran and Connor!
  • Paper accepted in Systor’23. Congratulations to Alex and the team!
  • Paper accepted in VLDB’23. Congratulations to Jingyuan, Ben, and the team!
  • 2x papers accepted in CCGrid’23. Congratulations to Sixing and Syed!
  • Paper accepted in ICSE’23. Congratulations to Waris!
  • Paper accepted in ASILOMAR’22. Congratulation to Qi!
  • Paper accepted in IEEE BigData’22. Congratulations to Jingoo!
  • Paper accepted in SC’22. Congratulations to Sixing and Phuong!
  • 🏆 Best paper award from IEEE Cloud’22 for our work on privacy-preserving Federated Learning.
  • 2x papers accepted in IEEE Cloud’22. Congratulations to Jingoo and Ahmad!
  • Paper accepted in USENIX FAST’21. Congratulations to Alex!
  • Paper accepted in SC’21. Congratulations to Zheng!
  • Paper accepted in AAAI’21. Congratulations to Syed!
  • Paper accepted in IEEE Cloud’21. Congratulations to Kamala!
  • 🏆 Best paper award from ePart’21 for our work on accountable Federated Learning.
  • 2x papers accepted in TPDS. Congratulations to Nannan and Ali!
  • Paper accepted in USENIX ATC’20. Congratulations to Nannan!
  • Paper accepted in USENIX FAST’20. Congratulations to Ao!
  • Paper accepted in SoCC’20. Congratulations to Benjamin!
  • Paper accepted in HPDC’20. Congratulations to Zheng, Syed, and Ahsan!
  • Paper accepted in HotStorage’20. Congratulations to Alex!

Recent Services

  • 2024: Serving on NSF Proposal Review Panel.
  • 2024 PC: FAST’24, ICDCS’24, ATC’24.
  • 2024: Publicity Co-Chair for HPDC’24.
  • 2024: Serving as General Co-Chair for IEEE Special Technical Community on Operating Systems (STCOS).
  • 2023: Serving as Department of Energy Proposal Reviewer.
  • 2023 PC: HPDC’23, Cluster’23, IPDPS’23, IEEE BigData’23, FedVision’23, FL-ICML’23, DistributedML’23.
  • 2023: Serving on NSF Proposal Review Panel.
  • 2023: Serving as General Co-Chair for HotStorage’23.
  • 2023: Serving as General Co-Chair for IEEE Special Technical Community on Operating Systems (STCOS).
  • 2023: Serving as Grants Co-Chair for HPDC’23.
  • 2022 PC: ICDCS’22, HPDC’22, FL-NeurIPS’22, FedVision’22, IEEE BigData’22, FL-AAAI’22.
  • 2022: Serving as General Co-Chair for HotStorage’22.
  • 2022: Serving as publicity Co-Chair for HPDC’22.