Scholar
Sidharth Kumar
Google Scholar ID: TDHtzHcAAAAJ
Associate Professor, University of Illinois at Chicago
Citations & Impact
Citations
2,206
H-index
12
i10-index
15
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- - Published papers accepted at HiPC 2025, IEEE Access, IJCAI 2025, HPDC 2025, and other conferences/journals
- - Awards: Best Paper Award at LDAV 2023; Finalist for Best Poster Award at SC 2023
- - Projects: Involved in multiple research projects, including auto-tuning for non-uniform all-to-all collectives and topology-assisted clustering of temporal fMRI brain networks
- - Student Mentoring: PhD candidate Ke Fan awarded the George Michael Fellowship
Research Experience
- - Associate Professor at the University of Illinois at Chicago
- - Spent a summer at Argonne National Lab during his Ph.D. studies, where he was introduced to the world of supercomputing
- - Continuously working at the intersection of HPC, analytics, and visualization
Education
- - Ph.D. in Computing, SCI Institute, University of Utah, Advisor: Valerio Pascucci
- - Undergraduate: DAIICT, where he developed a strong interest in computer graphics
Background
- - Research Interests: High-Performance Computing (HPC) and Data Visualization
- - Professional Field: Parallel I/O, Big Data Processing, Scalable Algorithms, Scientific Visualization, GPUs, and Performance Modeling
- - Brief Introduction: An associate professor at the Department of Computer Science, UIC. His research focuses on the intersection of HPC and data analysis, aiming to help domain scientists extract knowledge from massive amounts of complex data.
Miscellany
- - Served on the program committee of several international conferences, such as the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS)
