I am a final-year Ph.D. Candidate in Computer Science at Simon Fraser
University, advised by Prof. Keval Vora. My research focuses
on building high-performance, large-scale systems infrastructure for streaming graph processing.
I built GraphBolt and DZiG to perform incremental
computation on streaming graphs, enabling real-time analytics on large-scale mutations with provable
correctness guarantees.
I am part of the Parallel and Distributed Computing Lab (PDCL) and
the Systems group at SFU.
My full curriculum vitae is available here.
Research Interests
High-performance Graph Processing, Streaming Graph Systems, Graph Neural Network (GNN) Infrastructure, and
Graph Database Systems.
Publications
Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with
Decomposed Computations
Chong He, Mugilan Mariappan, Keval Vora, Mo Chen
IEEE Conference on Decision and Control (CDC), December 2025.
Anti-Vertex For Neighborhood Constraints In Subgraph Queries
Kasra Jamshidi, Mugilan Mariappan, Keval Vora
Proceedings of the ACM SIGMOD Joint International Workshop on Graph Data Management
Experiences & Systems (GRADES) and Network Data Analytics (NDA), Philadelphia, June 2022.
DZiG: Sparsity-Aware Incremental Processing of Streaming Graphs
Mugilan Mariappan, Joanna Che, and Keval Vora
European Conference on Computer Systems, United Kingdom, April 2021.
GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs
Mugilan Mariappan and Keval Vora
European Conference on Computer Systems, Dresden, March 2019.
Awards
- Helmut
& Hugo Eppich Family Grad Scholarship - 2022
-
CMPT Graduate Fellowship, Simon Fraser University - 2019, 2021, 2022
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Graduate Fellowship, Simon Fraser University - 2018, 2020, 2022, 2023
-
Best Poster Award, CS
Research Day, Simon Fraser University - 2019
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Grad Entrance Scholarship, Simon Fraser University - 2018
-
Spotlight Award, athenaHealth - 2014, 2015, 2017