Research Assistant (RA) positions available for self-motivated PhD students. I am particularly interested in working with both 'provers' and 'hackers' (i.e., strong theory-inclined students and strong systems students). If you are interested in my research and working with me, please include some samples of your work (e.g., major projects, open source contributions, etc.) when contacting me directly (note: it is highly recommended that you read some of my recent papers to get some understanding of my research first).
For current UTD students who are interested in working with me, please stop by my office so that we can discuss and see if there is a good match.
» I have graduated my first PhD student (co-advised with Dr. Ding-Zhu Du), Guangmo (Amo) Tong, who will join the University of Delaware as a tenure-track assistant professor. Congratulations, Amo!
» Our paper "S^3DNN: Supervised Streaming and Scheduling for GPU-accelerated Real-Time DNN Workloads" received the Best Paper Award at RTAS 2018 ([email protected]). Congrats to Husheng and Soroush!
» Our paper on "Exploring Computation and Data Redundancy via Partial GPU Computing Result Reuse" has been accepted to the 32nd ACM International Conference on Supercomputing (ICS 2018).
» I received the NSF CAREER award. Thanks to NSF for support!
» Our papers on "predictable processing of GPU-accelerated DNN workloads" and "shared-resource-centric multicore scheduling" have been accepted to the 24th RTAS (RTAS 2018).
» Our paper titled "Analysis techniques for supporting hard real-time sporadic gang task systems" has been accepted to the 38th RTSS (RTSS 2017). This paper received the Outstanding Paper Award! Congrats to Zheng!
» Our paper titled "Rec: Predictable charging scheduling for electric taxi fleets" has been accepted to the 38th RTSS (RTSS 2017).
» Our paper titled "ATHOME: Automatic Tunable Wireless Charging for Smart Homes" has been accepted to the 2nd IoTDI (IoTDI 2017).
» Served on the External Review Committee at ASPLOS 2018.
» Served on the External Review Committee at ASPLOS 2017.
» Served on the TPC at RTSS 2017.
» Congratulations to Zheng Dong, who got two first-authored papers accetped by RTSS 2016. I am not aware of any other graduate student who managed to get multiple first-authored RTSS papers in a single year :-)
» Our paper titled "Closing the loop for the selective conversion approach: a utilization-based test for hard real-time suspending task systems" has been accepted to the 37th RTSS (RTSS 2016).
» Our paper titled "Enabling predictable wireless data collection in severe energy harvesting environments" has been accepted to the 37th RTSS (RTSS 2016).
» Our paper titled "k2Q: A quafratic-form response time and schedulability analysis framework for utilization-based analysis" has been accepted to the 37th RTSS (RTSS 2016).
» Served on the TPC at RTSS 2016.
» My students Husheng Zhou will intern at IBM Research T.J. Watson Center this upcoming summer, working on a GPU-related research project; and Zheng Dong will intern at Huawei-US Research this summer, working on real-time scheduling of cellular baseband systems. Congratulations to them! It's now time to leverage research experience and skills learned in school to solve some of the practical industrial cases.
» Two papers have been accepted to INFOCOM'16.
» Received the "Up-and-Coming Young Outstanding Teacher" award from UT-Dallas in 2015.
» Received an NSF grant from the CSR core program (as the sole PI) and a gift money grant from an industrial colloborator.
» Our paper titled "k^2U: A General Framework from k-Point Effective
Schedulability Analysis to Utilization-Based Tests" has been accepted to the 36th RTSS (RTSS 2015).
I am an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas. I received my Ph.D. in Computer Science from the University of North Carolina at Chapel Hill with Prof. Jim Anderson in 2013.
Current Focused Research Areas:
- Predictable GPGPU Computing
- Real-Time Systems and Real-Time Operating Systems
- Data-driven Cyber-Physical Systems