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Mugilan Mariappan
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Mugilan Mariappan

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.
CDC 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.
GRADES-NDA 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.
EuroSys 2021
GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs
Mugilan Mariappan and Keval Vora
European Conference on Computer Systems, Dresden, March 2019.
EuroSys 2019
Awards
  1. Helmut & Hugo Eppich Family Grad Scholarship - 2022
  2. CMPT Graduate Fellowship, Simon Fraser University - 2019, 2021, 2022
  3. Graduate Fellowship, Simon Fraser University - 2018, 2020, 2022, 2023
  4. Best Poster Award, CS Research Day, Simon Fraser University - 2019
  5. Grad Entrance Scholarship, Simon Fraser University - 2018
  6. Spotlight Award, athenaHealth - 2014, 2015, 2017