Sidharth Kumar

Sidharth Kumar is an Associate Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC), where he leads research in high-performance computing and data visualization. He joined UIC in August 2023 after previously working at the University of Alabama at Birmingham. His research focuses on developing scalable algorithms and data structures for data-intensive applications, intersecting HPC, visualization, databases, and machine learning.

Education:
Ph.D. in Computing (2016) from the University of Utah's Scientific Computing and Imaging Institute, advised by Valerio Pascucci. Bachelor of Technology in Information and Communication Technology (2009) from DAIICT, Gandhinagar, India.

Research Interests:
Dr. Kumar's work centers on parallel I/O, GPU acceleration, big data processing, and scientific visualization. His projects include: 1) Exascale data management systems, 2) GPU-accelerated web visualization, 3) Declarative analytics frameworks, and 4) Topology-driven analysis for neuroscience and virology. He develops solutions for memory-constrained environments and heterogeneous systems.

Publication Trends:
Recent works (2023-2025) demonstrate strong focus on GPU-accelerated databases (Datalog optimizations), parallel communication algorithms (all-to-all collectives), memory-efficient visualization techniques (speculative raycasting), and applied topological analysis (brain networks, virus taxonomy). His publications consistently appear in top-tier HPC and visualization venues.

Awards & Honors:

• Best Paper Awards: IEEE HiPC (2019), ISC Hans Meuer (2020), LDAV (2023)
• Honorable Mention: PacificVis (2025)
• Poster Awards: SC23 Finalist, HiPC SRS (2021)
• NSF EPSCoR Research Fellow (2022)

Grants & Advising:

• NSF PPoSS Large: Declarative Analytics ($960K PI)
• NSF SHF: Scalable I/O Runtime ($300K PI)
• NSF EPSCoR: Relational Algebra ($265K PI)
• Advises 6 PhD students in HPC and visualization research

Lab & Service: Leads a research team working on exascale computing challenges. Serves on technical committees for SC, ISC, IPDPS, and HiPC conferences. Teaches courses in Database Systems, Algorithms, and Data Visualization.