Yogesh Simmhan mugshot

Yogesh Simmhan

Assistant Professor

Supercomputing, Education and Research Center, IISc

Adjunct Research Assistant Professor

Electrical Engineering Department, USC

Indian Institute of Science
Nilgiri Marg, SERC411
Mathikere, Bangalore 560012 India /map/

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University of Southern California
3740 McClintock Ave, EEB200
Los Angeles, CA 90089 USA /map/

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Note

Yogesh Simmhan has taken a full-time position as an Assistant Professor in the Supercomputing, Education and Research Center (SERC) at the Indian Institute of Science, Bangalore, India's top graduate school. For his current activities, past November 2013, please visit his IISc webpage. His USC webpage will be updated rarely.

Bio

Dr. Yogesh Simmhan is an Assistant Professor at the SERC Department at IISc, Bangalore. His research explores abstractions, algorithms and applications on distributed data and computing systems. These span Cloud Computing, Scalable and Distributed Computing, distributed data and metadata management, and software architectures for large scale applications in eScience and eEngineering. His research advances fundamental knowledge, and offers a practitioner's insight, on building scalable, resilient systems to empower dynamic, distributed and Big Data applications.

Yogesh has a Ph.D. in Computer Science from Indiana University. Earlier, he was a Research Assistant Professor in Electrical Engineering and Associate Director of the Center for Energy Informatics at the University of Southern California, and a Postdoc Researcher at Microsoft Research, San Francisco. He is an IEEE Senior Member and an ACM Professional Member.

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Research

Current

At the Indian Institute of Science, I lead the DREAM:Lab, that explores abstractions, algorithms and applications for distributed data and computing platforms.

At the Center for Energy Informatics, I am exploring information management and scalability challenges posed by the rapid advances of cyber-physical systems like Smart Power Grids. This work, done as part of the DOE-sponsored Los Angeles Smart Grid Demonstration project, is bringing together techniques from semantic web, complex event and stream processing, and machine learning to build a scalable software architecture on a secure Cloud platform to support these next generation of eEngineering applications.

I also pursue research into scalable and resilient Cloud frameworks for dynamic, distributed and data intensive applications. I am investigating programming frameworks and data layout strategies for scaling large graph applications on Cloud infrastructure, as part of the Graph Oriented Framework for Foresight and insight using Scalable Heuristics (GoFFish) project funded by a DARPA's XDATA grant. I am also active in the data provenance community, where I serve as an invited expert in the W3C Provenance Working Group.

I continue to collaborate with Prof. Viktor Prasanna. Details of his group, its research and members can be found at the wiki.

Prior

Microsoft Research

Earlier, I was a postdoc at the eScience Group at Microsoft Research, working with Catharine van Ingen. I contributed to the Pan-STARRS, Trident Scientific Workflow Workbench and Azure Generic Worker projects. I collaborated closely with Alex Szalay on Pan-STARRS, Roger Barga on Trident, and David Heckerman on genome analysis on Azure.

Indiana University

I graduated from Indiana University with an M.S. and Ph.D. from the Computer Science Department, advised by Prof. Beth Plale and Prof. Dennis Gannon. I worked on grid and web services, distributed data management and scientific workflows as part of the NSF Large-ITR LEAD Project. I initiated the Karma Provenance project as part of my dissertation, which was awarded an NSF SDCI grant for further development.

Awards & Honors

  • IEEE SCALE Challenge. First Place. Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids, Simmhan, et al. (2012)
  • Microsoft Ship-It Award. Microsoft Trident Scientific Workflow Workbench, Barga, et al. (2009)
  • IEEE/ACM Supercomputing HPC Storage Challenge. First Place. GrayWulf: Scalable Cluster Architecture for Data Intensive Computing, Szalay, et al. (2008)

Active Grants

  • GoFFish: Graph-Oriented Framework for Foresight and Insight using Scalable Heuristics with V. K. Prasanna and C. Raghavendra, DARPA XDATA Program (2012 - 2017)
  • Smart Grid Regional Demonstration Project: Demand Response with V. K. Prasanna and C. Fern, DOE/LA DWP (2013 - 2014)
  • TAPAS: Tunable Algorithms for PERFECT Architectures with V. K. Prasanna and S. Crago, DARPA PERFECT Program (2012 - 2018)
  • Software Infrastructure for Accelerating Grand Challenge Science with Future Computing Platforms with V. K. Prasanna, D. Bader, M. Parashar, R. Vuduc, S. Jha and J. Riedy, NSF SI2/ACI Conceptualization Award (2012 - 2013)
  • Accelerating Graph Analytics on Clouds for Genome Assembly with V. K. Prasanna and S. Swenson, NSF EAGER/CNS Award (Recommended)
  • US-India Workshop on Fostering Synergistic Collaborations to Accelerate Big Data Applications with V. K. Prasanna, NSF SAVI/CNS Program (2012 - 2013)

Publication

Recent Publications (2012 - 2013)

  1. Alok Kumbhare, Yogesh Simmhan and Viktor Prasanna, Exploiting Cloud Elasticity to Enhance the Value of Dynamic, Continuous Dataflows , IEEE/ACM International Conference for High Performance Computing Networking, Storage, and Analysis (SC) [CORE A] , 2013 (To Appear)
  2. Charith Wickramaarachchi and Yogesh Simmhan, Continuous Dataflow Update Strategies for Mission-Critical Applications , IEEE Internatrional Conference on eScience (eScience) [CORE-A] , 2013 (To Appear)
  3. Qunzhi Zhou, Yogesh Simmhan and Viktor Prasanna, owards Hybrid Online On-Demand Querying of Realtime Data with Stateful Complex Event Processing , IEEE International Conference on Big Data (BigData) , 2013 (To Appear, Short Paper)
  4. Yogesh Simmhan, Saima Aman, Alok Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou and Viktor Prasanna, Cloud-based Software Platform for Data-Driven Smart Grid Management , Computing in Science and Engineering , July/August , 2013 , pp. 1-11 , IEEE and AIP. ((To Appear) [IF 1.422, CORE C])
  5. Mark Redekopp, Yogesh Simmhan and Viktor K. Prasanna, Optimizations and Analysis of BSP Graph Processing Models on Public Clouds , International Parallel & Distributed Processing Symposium (IPDPS) , 2013 , pp. 1 - 12 , IEEE. ([CORE A])
  6. Saima Aman, Yogesh Simmhan and Viktor K. Prasanna, Energy Management Systems: State of the Art and Emerging Trends , IEEE Communications Magazine , 51 (1) , 2013 , pp. 114 - 119 , IEEE. ([IF 3.785])
  7. Hsuan-Yi Chu and Yogesh Simmhan, Resource Allocation Strategies on Hybrid Cloud for Resilient Jobs , 2013 , University of Southern California.
  8. Yogesh Simmhan and Alok Kumbhare, Floe: A Continuous Dataflow Framework for Dynamic Cloud Applications , 2013 , University of Southern California.
  9. Alok Kumbhare, Yogesh Simmhan and Viktor Prasanna, Cryptonite: A Secure and Performant Data Repository on Public Clouds , International Cloud Computing Conference (CLOUD) , 2012 , pp. 510-517 ([CORE B])
  10. Wei Yin, Yogesh Simmhan and Viktor Prasanna, Scalable Regression Tree Learning on Hadoop using OpenPlanet , International Workshop on MapReduce and its Applications (MAPREDUCE) , 2012 , pp. 57-64
  11. Jing Zhao, Yogesh Simmhan and Viktor Prasanna, Presenting Apropos Provenance for Situation Awareness and Forensics , 7525 , International Proveanance and Annotation Workshop , 2012 , pp. 250-253 , Springer. (Poster)
  12. Qunzhi Zhao, Yogesh Simmhan and Viktor K. Prasanna, Incorporating Semantic Knowledge into Stream Processing for Smart Grid Applications , International Semantic Web Conference (ISWC) , 2012 , pp. 1-16 ([CORE B])
  13. Qunzhi Zhou, Sreedhar Natarajan, Yogesh Simmhan and Viktor Prasanna, Semantic Information Modeling for Emerging Applications in Smart Grid , International Conference on Information Technology : New Generations (ITNG) , 2012 , pp. 775-782
  14. Yogesh Simmhan, Vaibhav Agarwal, Saima Aman, Alok Kumbhare, Sreedhar Natarajan, Nikhil Rajguru, Ian Robinson, Samuel Stevens, Wei Yin, Qunzhi Zhou and Viktor Prasanna, Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids , IEEE International Scalable Computing Challenge (SCALE) , 2012 , pp. 1-4 (First Prize)
  15. Yogesh Simmhan, Litao Den, Alok Kumbhare, Mark Redekopp and Viktor Prasanna, Scalable, Secure Analysis of Social Sciences Data on the Azure Platform , Cloud Futures Workshop , 2012
  16. Yogesh Simmhan, Gabriel Antoniu, Carole Goble and Lavanya Ramakrishnan, Proceedings of the 3rd International Workshop on Scientific Cloud Computing (ScienceCloud) , 2012 , ACM.
  17. Qunzhi Zhao, Yogesh Simmhan and Viktor K. Prasanna, On Using Semantic Complex Event Processing for Dynamic Demand Response Optimization , 2012 , USC Computer Science Department.
  18. Qunzhi Zhou, Yogesh Simmhan and Viktor Prasanna, SCEPter: Semantic Complex Event Processing over End-to-End Data Flows (12-926) , 2012 , Computer Science Department, University of Southern California.

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Service

Recent Professional Service

Student Mentorship

Current

  1. Saima Aman Ph.D. Student, University of Southern California (2010 - Present)
  2. Alok Kumbhare Ph.D. Student, University of Southern California (2010 - Present)
  3. Qunzhi Zhou Ph.D. Student, University of Southern California (2010 - Present)

Prior

  • Mark Redekopp Ph.D. Student, University of Southern California (2011 - 2013)
  • Charith Wickramaarachchi Ph.D. Student, University of Southern California (2012 - 2013)
  • Vasilis Zois Ph.D. Student, University of Southern California (2013 - 2013)
  • Soonil Nagarkar M.S. Student, University of Southern California (2013 - 2013)
  • Usman Noor M.S. Student, University of Southern California (2013 - 2013)
  • Santosh Ravi M.S. Student, University of Southern California (2013 - 2013)
  • Saeed Rizwan M.S. Student, University of Southern California (2013 - 2013)
  • Zachary Gima B.S. Student, University of Southern California (2012 - 2013)
  • Samuel Stevens M.S. Student, University of Southern California (2012 - 2013)
  • Kenneth Barry B.S. Student, University of Southern California (2012 - 2013)
  • Rongyang Liu M.S. Student, University of Southern California (2012 - 2013)
  • Hsuan-Yi Chu Ph.D. Student, University of Southern California (2012 - 2013)
  • Litao Den M.S. Student, University of Southern California (2011 - 2012)
  • Srivathsan Rajagopalan M.S. Student, University of Southern California (2012)
  • Ashwath Rajan B.S., University of Southern California (2012)
  • Vaibhav Agarwal M.S. Student, University of Southern California (2012)
  • Jing Zhao Ph.D. Student, University of Southern California (2010 - 2012)
  • Sreedhar Natarajan M.S., University of Southern California (2011 - 2012) ... @Amazon
  • Nikhil Rajguru M.S., University of Southern California (2012 - 2012) ... @Cisco
  • Ian Robinson M.S., University of Southern California (2011 - 2012) ... @EnerNOC
  • Wei Yin M.S., University of Southern California (2011 - 2012) ... @American Express
  • Baohua Cao Ph.D. Student, University of Southern California (2010 - 2011)
  • Michail Giakkoupis M.S., University of Southern California (2010 - 2011)
  • Emad Soroush Intern, eScience Group, Microsoft Research/Ph.D. Student, University of Washington (Spring 2010)
  • Girish Subramanian Intern, eScience Group, Microsoft Research/M.S., Indiana University (Summer 2009) ... @Microsoft