Keval Vora
Scholar

Keval Vora

Google Scholar ID: l40B-WYAAAAJ
Associate Professor, Simon Fraser University
Graph MiningGraph AnalyticsParallel ComputingDistributed Systems
Citations & Impact
All-time
Citations
1,334
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Recent publications include: 'Contigra: Graph Mining with Containment Constraints', 'OsirisBFT: Say No to Task Replication for Scalable Byzantine Fault Tolerant Analytics', 'Accelerating Graph Mining Systems with Subgraph Morphing'. Developed software systems such as Peregrine, GraphBolt, and Lumos.
Research Experience
  • Associate Professor at the School of Computing Science, Simon Fraser University, leading a team of incredible students. Notable projects include Peregrine (for pattern-based graph analytics) and GraphBolt / DZiG (for dynamic graph analytics). Also part of the Systems group at SFU.
Education
  • PhD from University of California, Riverside, under Rajiv Gupta. Worked as a visiting researcher with Harry Xu at University of California, Irvine. Before PhD, worked at Morgan Stanley, developing low-latency trading software.
Background
  • Develops scalable solutions for modern data analytics systems, focusing on graph data processing & management. His work lies at the intersection of runtime systems and algorithmic semantics, specializing in efficient techniques with provable guarantees for large-scale graph systems.
Miscellany
  • Open positions available for those interested in joining his research team. Prospective graduate students should send a brief description of their work interests along with a CV; SFU undergraduates can send a CV or take his courses.