Graph analytics at scale
Parallel algorithms for large dynamic graphs and hypergraphs.
Arindam Khanda
I shall join as a tenure-track Assistant Professor of Information Technology in Fall 2026 in the College of Computing and Software Engineering at Kennesaw State University. I am currently a postdoctoral researcher in the CReWMaN Lab at Missouri University of Science and Technology, where I work with Prof. Sajal K. Das.
I have a PhD in Computer Science from Missouri S&T. My research focuses on high-performance computing for graph analytics, scalable AI, and applications in cyber-physical systems.
Research core themes
Scalable AI
Efficient learning pipelines for evolving and data-intensive systems, including semi-supervised learning and graph-informed AI methods.
Cyber-physical systems
Optimization and decision-making for EV charging, Urban Air Mobility, wildfire logistics, and other CPS applications.
Heterogeneous computing
CUDA, OpenMP, Open MPI, and SYCL implementations designed to exploit modern CPU-GPU and distributed HPC architectures.
Recent updates
May 28
Attended IPDPS 2026. Our paper ESCHER was presented, and I served as a judge in the student poster competition.
Apr 23
NSF CSSI grant awarded: Collaborative Research: Elements: CHAI: Cyberinfrastructure for Hypergraph-based Analysis and Innovation.
Recent publications
Journal articles
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks
IEEE TPDS, 2025
Smart-Charge: Stable matching algorithm for electric vehicle charging in subscription-based models
Pervasive and Mobile Computing, 2026
Conference highlights
ESCHER: Efficient and Scalable Hypergraph Evolution Representation with Application to Triad Counting
IPDPS, 2026
DynLP: Parallel Dynamic Batch Update for Label Propagation in Semi-Supervised Learning
ICS, 2026
ReACT-TTC: Capacity-Aware Top Trading Cycles for Post-Choice Reassignment in Shared CPS
ICCPS, 2026
CARGO: A Co-Optimization Framework for EV Charging and Routing in Goods Delivery Logistics
IEEE LCN, 2025
The full publication list is also available on Google Scholar.