CV

General Information

Full Name Shashikant Ilager
Languages English(fluent), kannada(native), Hindi(fluent), Marathi(fluent), Telugu(intermediate), German (basic)

Education

  • 2017-2021
    PhD, Computer Science
    • Thesis- Machine Learning-based Energy and Thermal Efficient Resource Management Algorithms for Cloud Data Centres.
    • Thesis Advisor- Professor. Rajkumar Buyya
    • My PhD thesis was recongnized with IEEE TCCLD Outstanding PhD Thesis Award in 2022.
  • 2014-2016
    Master of Technology (M.Tech), Computer Science
    University of Hyderabad (UOH), India
    • Thesis Advisor- Prof. Rajeev Wankar
    • Secured first rank in computer sceince and across all three desciplines offered in the school.
    • Received
  • 2009 -2013
    Bachelor of Engineering (B.E), Information Science and Engineering
    Visvesvaraya Technological University (VTU), Karnataka, India.

Work Experience

  • 08/2021-
    Postdoc Researcher
    HPC Research Group , with Prof. Ivona Brandic, Institute of Information Systems Engineering, Vienna University of Technology (TU Wien)
    • I am doing research on computational sustainability and Edge AI
    • I am also teaching multiple Master courses. Please check out more details on my teching [page](pages/teaching.md).
  • 10/2023-12/2023
    Visiting Research Scientist
    INRIA, IMT Atlantique, Nantes, France
    • I am hosted by Daniel Balouek, I am working on developing end to end edge application QoS gurantee using SAGE testbed.
  • 03/2021-08/2021
    Research Assistant
    CLOUDS Lab, FEIT, University of Melbourne, Australia
  • 08/2016-12/2016
    Software Engineering Intern
    Pointed Squares Edventures Pvt Ltd, Hyderabad, India
  • 07/2015-07/2016
    Linux System Administrator (voluntary)
    University of Hyderabad, India, July 2015- July 2016.

Services

  • Program Committee
    • PC member, International Workshop on Serverless Computing for Pervasive Cloud-Edge-Device Systems and Services (PC member, IEEE CLOUD 2022 , JULY 10-16, 2022, Barcelona, Spain.
    • PC member, 20th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2022), February 14-18, 2022, Australia.
    • PC member, International Workshop on Serverless Computing for Pervasive Cloud-Edge-Device Systems and Services (( *LESS 23)), The 20th International Conference on Pervasive Computing and Communications (PerCom 2022), March 21-25, 2022 , Pisa, Italy.
    • PC member, International Workshop on Intelligent Offloading for the Internet of Things (IOIoT 2020), 29th IEEE International Conference on Computer Communications and Networks (ICCCN 2020), August 3-6, 2020, Honolulu, Hawaii, USA.
    • PC member, International Workshop on Computing and Scheduling in Wireless Power and Communication Networks (CSWPCN), 40th IEEE International Conference on Distributed Computing Systems, July 8 – 10, 2020, Singapore.
  • Other Organizational Committees
    • Finance Chair, 11th IEEE International Conference on Cloud Engineering (IC2E 2023), September, 2023, Boston , USA.
    • Finance Chair, 10th IEEE International Conference on Cloud Engineering (IC2E 2022), September 26-30, 2022, San Francisco, CA, USA.
    • Co-Chair, International Workshop on Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers, 26th IEEE International Conference on High-Performance Computing, Data and Analytics (HiPC19), December 17-20, Hyderabad, India.
    • Guest Editor, Vlado Stankovski, Rajkumar Buyya, Shrideep Pallickara, Shashikant Ilager, Special Issue on Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers, Software Practice and Experience (SPE), New York, USA, February 2020.
    • Editor , CCGrid 2021.
  • Journal Reviewer
    • ACM Computing Surveys (ACM CSUR)
    • Transaction On Mobile Computing (TMC)
    • IEEE Transactions on Services (TSC)
    • IEEE Transactions on Sustainable Computing (TSUC)
    • IEEE Transactions on Parallel and Distributed Systems (TPDS)
    • IEEE/ACM, Transactions on Networking (TON)
    • Elsevier, Future Generation Computer Systems (FGCS)
    • Wiley Software Practice and Experience (SPE)
    • Elsevier, Journal of Systems Architecture (JSA)
    • Multimedia Tools and Applications(MTAP)
  • Sub Reviewer
    • SC, HiPC, HPDC, CCGRID, EuroPar, EuroSys, Asia-Pacific HPC, IC2E.

Honors and Awards

  • Outstanding PhD Thesis Award, IEEE Technical Committee on Cloud Computing (IEEE TCCLD), October 2021. UniMelb website.
  • IEEE Outstanding Service Award, for services as Registration Chair and Local Organising Committee to The 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2021.
  • Best Paper Award, “A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)”, CCGRID20, 2020.
  • AWS Research Cloud credit , AWS Amazon, 2019.
  • Excellence in Teaching Award, for tutoring Distributed Systems (COMP90015) course, FEIT, The University of Melbourne, 2019.
  • Melbourne Research Scholarship, PhD Scholarship, The University of Melbourne.
  • Mannapalli Subbaramaiah Gold Medal, for securing the 1st rank across all three M.Tech courses (CS/AI/IT), the academic batch of 2014-2016 at SCIS, University of Hyderabad, India, 2016.
  • SBH Gold Medal, for securing the 1st rank in M.Tech Computer Science course, the academic batch of 2014-2016 at SCIS, University of Hyderabad, India, 2016.
  • GATE scholarship , UGC NET, India, 2014.

Presentation and Talks

  • 2023
    • Data-Centric Edge-AI, @IEEE Services, Chicago, USA, 2023 (online).
  • 2022
    • DEMon- Decentralized Monitoring in Highly Volatile Edge, @IEEE UCC 22, Washington, USA, 2022.
  • 2021
    • Programming Abstractions in Cloud, Invited Guest Lecture for Internet Technology Course (Semester 2, 2021), @Faculty of Engineering and Information Technology, University of Melbourne, Australia, September 2021 (online).
    • A Data-Driven Frequency Scaling and Energy Efficient Scheduling on GPUs, @IEEE CCGRID, May 2021 (online).
    • A Data-Driven Frequency Scaling and Energy Efficient Scheduling on GPUs, @Vienna University of Technology (TU Wien), March , 2021 (online)
    • Learning-based Energy and Thermal Efficient Resource Management Algorithms for Cloud Data Centres, @ University of Adelaide, Australia, April 2021.
  • 2020
    • Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems, @IEEE Cloud Summit, Harrisbury, Pennsylvania, USA, October 21-22, 2020 (online).
    • Programming the Cloud- Towards Serverless Computing, Invited Talk, Faculty Development Workshops, @GMR Institute of Technology, AP, India, June 2020 (online).
  • 2018
    • ETAS- Energy and Thermal-Aware Dynamic Virtual Machine Consolidation in Cloud Data Center with Proactive Hotspot Mitigation, @6th CIS Annual Doctoral Colloquium at the University of Melbourne, Melbourne, Australia, July 2018.
  • 2017
    • Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification, @18th International Conference on Distributed Computing and Networking (ICDCN, 2017), Hyderabad, India, January 2017.
  • 2016
    • Heterogeneous Parallel Computing on Clouds using Aneka PaaS Tool, Invited Talk, One Week National Level Research-Oriented Workshop on Cloud and GPU Computing (Cloud-GPU 2016), Jawaharlal Nehru Technological University (JNTU), Kakinada, India, August 8-12, 2016.
    • Heterogeneous Parallel Computing using CUDA Toolkit, Invited Talk, CVR College of Engineering, Hyderabad, India, March 2016.