I am a PhD student at Simon Fraser University, advised by Prof. Keval Vora. My research is on developing tools and techniques
for large-scale graph processing.
I built GraphBolt and DZiG to perform
incremental computation on streaming graphs, and to enable real-time analytics on large-scale streaming graphs
with provable correctness guarantees.
Recently, I interned at LinkedIn Graph Systems Lab, working with Dr. Juan Colmenares from LinkedIn and Dr. Yuanyuan Tian from Microsoft Gray Systems Lab.
Streaming graph processing, incremental computing, graph databases, graph mining, and graph learning.
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.
& Hugo Eppich Family Grad Scholarship - 2022
CMPT Graduate Fellowship, Simon Fraser University - 2019, 2021, 2022
Graduate Fellowship, Simon Fraser University - 2018, 2020, 2022
Best Poster Award, CS
Research Day, Simon Fraser University - 2019
Grad Entrance Scholarship, Simon Fraser University - 2018
Spotlight Award, athenaHealth - 2014, 2015, 2017