Scholar
Yogesh Simmhan
Google Scholar ID: HIOx9E0AAAAJ
Associate Professor, Indian Institute of Science
Distributed Systems
Edge Accelerators
Graph Analytics
Cloud Computing
Federated Learning
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Citations & Impact
All-time
Citations
3,576
H-index
29
i10-index
63
Publications
20
Co-authors
42
list available
Contact
Email
simmhan@iisc.ac.in
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Publications
34 items
AeroEval: Staged Program and Execution Validation for AI-Generated Drone Missions
2026
Cited
0
TrafficFab: An Autonomic Edge-Cloud Testbed Fabric forAI-Driven Traffic Management
2026
Cited
0
Adaptive and Cost-Efficient Joint Scheduling of UAV Routes and Analytics with Transit-Borne Fog
2026
Cited
0
A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric
2026
Cited
0
A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction
2026
Cited
0
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs
2026
Cited
0
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
2026
Cited
0
Per-Phase Fidelity Attribution for Quantum Compilers using HBR Decomposition
2026
Cited
0
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Resume
Academic Achievements
Published over 100 peer-reviewed papers
Best Paper Award at IEEE CLOUD 2019
IEEE TCSC SCALE Challenge Award in 2019 and 2012
Distinguished Paper Award at EuroPar 2018
IEEE/ACM Supercomputing HPC Storage Challenge Award in 2008
Recipient of Swarna Jayanti Fellowship (2019)
IEEE TCSC Award for Excellence in Scalable Computing (Mid Career Researcher, 2020)
Associate Editor of Future Generation Computing Systems (FGCS)
Former Associate Editor-in-Chief of JPDC and Associate Editor of IEEE Transactions on Cloud Computing
Member of IEEE Future Directions Initiative on Big Data
Distinguished Member of ACM, Distinguished Contributor of IEEE Computer Society, and member of ACM India Executive Council
Background
Associate Professor, Department of Computational and Data Sciences, Indian Institute of Science (IISc), Bangalore
Associate Faculty, Robert Bosch Center for Cyber Physical Systems
Research focuses on scalable software platforms, algorithms, and applications on distributed systems
Research areas include Cloud and Edge Computing, Temporal Graph Processing, and Scalable Machine Learning for Big Data and IoT applications
Leads the DREAM:Lab (Distributed Research on Emerging Applications and Machines)
Co-authors
8 total
Viktor K. Prasanna
University of Southern California
Beth Plale
Burns McRobbie Professor, Indiana University
Alok Gautam Kumbhare
Microsoft Research
Paul Groth
Professor, INDE Lab, University of Amsterdam
Juliana Freire
New York University
Aleksander Slominski
IBM Research
Omer Rana
Cardiff University, UK
Haiying Shen
Associate Professor of Computer Science, University of Virginia