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
Twitter
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GitHub
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Publications
28 items
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
End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric
2026
Cited
0
Noise-aware selection of circuit cutting strategies under hardware noise non-uniformity
2026
Cited
0
BMD-45: A Large-Scale CCTV Vehicle Detection Dataset for Urban Traffic in Developing Cities
2026
Cited
0
Quantum Integrated High-Performance Computing: Foundations, Architectural Elements and Future Directions
2026
Cited
0
AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK
2026
Cited
0
Folding-Free Zero-Noise Extrapolation by Layout-induced Noise Diversity
2026
Cited
0
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Resume (English only)
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
42 total
Viktor K. Prasanna
University of Southern California
Beth Plale
Burns McRobbie Professor, Indiana University
Co-author 3
Alok Gautam Kumbhare
Microsoft Research
Co-author 5
Co-author 6
Co-author 7
Paul Groth
Professor, INDE Lab, University of Amsterdam
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