Yogesh Simmhan

Employment

• Indian Institute of Science Associate Professor
  2019 - Present
• Indian Institute of Science Assistant Professor
  2013 - 2019
• University of Southern California Research Assistant Professor/Associate Director (CEI)/Senior Research Associate
  2010 - 2013
• Microsoft Research PostDoc Researcher
  2007 - 2010

Education

• Indiana University Ph.D.
  2002 - 2007
• Indiana University M.S.
  2000 - 2002
• University of Madras B.E.
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (157)

• AeroResQ: Edge-accelerated UAV framework for scalable, resilient and collaborative escape route planning in wildfire scenarios
  Future Generation Computer Systems 2026 DOI: 10.1016/j.future.2026.108579
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• Lightweight targeted estimation of layout noise in a quantum computer using quality indicator circuits
  Quantum Information Processing 2026 DOI: 10.1007/s11128-026-05326-7
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• SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
  ACM SIGMETRICS Performance Evaluation Review 2026 DOI: 10.1145/3820171.3806875
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• ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
  2026 DOI: 10.1145/3806645.3807597
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• NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired
  ACM Transactions on Cyber-Physical Systems 2026 DOI: 10.1145/3828721
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• SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
  2026 DOI: 10.1145/3801489.3806875
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• Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly
  IEEE Transactions on Parallel and Distributed Systems 2026 DOI: 10.1109/TPDS.2026.3678606
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• Computing Temporal Graph Centrality Measures over Billion-scale Financial Networks
  2026 DOI: 10.1145/3810460.3812778
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• OptimES: Optimizing federated learning using remote embeddings for graph neural networks
  Journal of Parallel and Distributed Computing 2026 DOI: 10.1016/j.jpdc.2026.105227
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• Federated Learning Within Global Energy Budget over Heterogeneous Edge Accelerators
  2026 DOI: 10.1007/978-3-031-99854-6_18
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