Dr. Subramaniam K V


Dr. K V Subramaniam has over 15 years of experience in both the software and semiconductor industries. Prior to joining PES University, he served as CTO of Indiverein. His areas of interest are in performance aspects of computing aspects. His experience spans various companies like Novell, Andiamo, Cisco, HP and AMD. He received his Masters and Doctoral degrees from the Indian Institute of Science, Bangalore. He currently heads the Center for Cloud Computign and Big Data at PES University and also actively consults with the Industry.

Computer Science



Qualification Institution Year
PhD IISc 1999
MSc [Engg] IISc 1993

Awards / Achievement
  • Outstanding Technical Achievement - HP Software for "GENIE: creating a scalability testbed with no resources"

Institutional Membership
  • ACM
  • IEEE

Additional Information
  • Date of Joining: 10th December, 2014
  • Experience: 15 years
  • Head, Centre for Cloud Computing and Big Data
  • Deparment Curriculum Committee Member

Responsibilities Held
  • IEEE CCEM 2019 - TPC Co-Chair IEEE CCEM 2020 - TPC Co-Chair IEEE CCEM 2021 - TPC Co-Chair HiPC 2017, 2018, 2019 - Member Program Committee - Student Research Symposium Local Arrangements Chair - HPCA 2010 - Bangalore
Expertise / list of subjects handled
  • 14CS341 - Cloud Computing (Jan 2017) - Undergraduate
  • 16CS551 - High Performance Computing and Architecture (Jan 2017) - Masters
  • 14CS314 - Big Data (Aug 2016)
  • 13CS438 - Big Data (Aug 2016)
  • 15CS341 - Cloud Computing (Jan 2018) - Undergraduate
  • 16CS313 Big Data (Aug 2018) Undergraduate
  • 16CS352 Cloud Computing (Jan 2019) Undergraduate
  • 17CS313 Big Data (Aug 2019) Undergraduate
  • 17CS511 Fundamentals of Scalable Computing (Aug 2017) - Masters
  • 17CS531 Advanced Big Data Analytics (Jan 2018)
  • 18CS511 Fundamentals of Scalable Computing (Aug 2019) - Masters
  • 18CS313 Big Data - Undergraduate
  • 20CS503 Fundamentals of Scalable Computing - Masters
Research Interest
  • Performance aspects of Cloud and Big Data
  • Swachh Bharat - Analysis
  • IoT streaming analysis (like videos) and security

Research projects (current)
  • Cloud and Big Data Workloads (Sponsored by AMD)
  • Database indexing (NetApp)

Research Guidance
  • 6 PhD Students
  • Raju, N., Koushik, R.M., Om, H. and Kalambur, S., 2021, March. ViStA: Video Streaming and Analytics Benchmark. In 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (pp. 73-75). IEEE.
  • Caculo, S., Lahiri, K. and Kalambur, S., 2020, October. “Characterizing the Scale-Up Performance of Microservices using TeaStore.” In 2020 IEEE International Symposium on Workload Characterization (IISWC) (pp. 48-59). IEEE
  • Thiyyakat, Meghana, Subramaniam Kalambur, and Dinkar Sitaram. "Improving Resource Isolation of Critical Tasks in a Workload." 23rd workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2020) in conjunction with IPDPS 2020, Louisiana, USA, May 2020
  • S Athlur, N Sondhi, S Batra, S Kalambur, D Sitaram, “Cache Characterization of Workloads in a Microservice Environment”, 2019 IEEE International Conference on Cloud Computing for Emerging Markets, (pp 45-50), Bangalore, Nov 2019
  • Talreja, D., Lahiri, K., Kalambur, S. and Raghavendra, P., 2019, April. Performance Scaling of Cassandra on High-Thread Count Servers. In Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering (pp. 179-187). ACM.
  • Choudhury, Sraman, Srikar Chundury, Subramaniam Kalambur, and Dinkar Sitaram. "Poster Paper Impact Of Software Stack Version On Micro-architecture." In Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, pp. 41-42. ACM, 2019
  • Rao, Shreyas S., S. Pradyumna, Subramaniam Kalambur, and Dinkar Sitaram. "Bodhisattva-Rapid Deployment of AI on Containers." In 2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp. 100-104. IEEE, 2018
  • Sapre, V., Kalambur, S., Sitaram, D. and Bastian, R., 2018, September. Synthetic Generation of Traffic Data for Urban Mobility. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2151-2157). IEEE
  • Anilkumar, A., Sreenivasan, A., Sahay, A., Gurumurthy, D., Nirupama, M.P., Kalambur, S., Sitaram, D. and Jain, R., 2018, September. Sangati—A Social Event Web approach to Index Videos. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1574-1580). IEEE
  • Neha M Kalibhat, Shreya Varshini, Chidambaram Kollengode, K V Subramaniam and Dinkar Sitaram, “Software Troubleshooting using Machine Learning”, 3rd annual IEEE International Workshop on Foundations in Big Data Computing (HiPC BigDF'17) in conjunction with 24th IEEE International Conference on High Performance Computing (HiPC 2017), December 2017, Jaipur
  • Sachin Prabhu, Subramaniam KV, Sitaram, D., 2017, November. Proof of Concept for Recognition of Indian License Plate Number from Live Stream Videos. In Student PoC Competition, Cloud Computing in Emerging Markets (CCEM), 2017 IEEE International Conference on, IEEE
  • Sachin Prabhu, B, K. V. Subramaniam and Dinkar Sitaram, “Recognition of Indian License Plate Number from Live Stream Videos”, 6th International Conference on Advances in Computing, Communications and Informatics (ICACCI) – 2017, September 2017, IEEE, Manipal
  • Shubhendu Singh, Nishant Bhattacharya, Kushal Samir Mehta, Jyotsna Prasad, Kaala Lakshmi Sureshan, Subramaniam Kalambur, Dinkar Sitaram, “Identifying Uncollected Garbage in Urban Areas using Crowdsourcing and Machine Learning”, in Technologies for Smart Cities, IEEE Tensymp 2017, Kochi, July 2017
  • Susheel Suresh, Tarun Sharma, Prashanth T. K., Subramaniam V, Dinkar Sitaram, and Nirupama M. 2016. Towards quantifying the amount of uncollected garbage through image analysis. In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '16). ACM, New York, NY, USA,
  • Kishore, Yasaswi, NH Venkat Datta, K. V. Subramaniam, and Dinkar Sitaram. "QoS Aware Resource Management for Apache Cassandra." In High Performance Computing Workshops (HiPCW), 2016 IEEE 23rd International Conference on, pp. 3-10. IEEE, 2016
  • “Identification of Escalations during Product Maintenance”, Shivam Dhar, Pooja U Tata, Sachit M Nayak, Subramaniam Kalambur, Dinkar Sitaram, Atanu Dasgupta, 6th International Conference on Advances in Computing, Commmunications and Informatics (ICACCI 2016), Jaipur, September 2016
  • “Predicting the next move: determining mobile user location using semantic information”, Gautham V Kidiyoor, Nitin Bhyri, Varun S K, K.V. Subramaniam, Dinkar Sitaram and Chid Kollengode, 5th International Conference on Advances in Computing, Communications and Informatics (ICACCI 2015), Kochi, August 2015
  • “Run-time Performance Optimization and Job Management in a Data Protection Solution”, Ludmilla Cherkasova, Roger T Lau, Harald Burose, K. V. Subramaniam, Bernhard Kappler, Kuttiraja Veeranan, IFIP/IEEE International Symposium on Integrated Network Management, Dublin, May 2011
  • “Efficient Scheduling and Resource Planning for Backup Services”, Lucy Cherkasova, Roger Lau, Harald Burose, K. V. Subramaniam, Bernhard Kappler. Poster Presentation, TechCon 2011
  • “GENIE: A Scalability Test Environment with No Resources”, K. V. Subramaniam, Rajesh Mishra, Mandar Nanivadekar, Prakash Angadi, Albrecht Schroth. Poster Presentation, TechCon 2011
  • “Data Protection Expert”, Andreas Wuttke, Albrecht Schroth, K. V. Subramaniam, Ervin Adrovic, Honorary Mention, Techcon 2010.
  • “Program Memory Access Characteristics”, K. V. Subramaniam and M. J. Thazhuthaveetil, 5th International Conference on Advanced Computing

  • Design of MS-DOS Program Profiler”, K. V. Subramaniam and M.J.Thazhuthaveetil, Microprocessors and Microsystems. June 1994