Research Interest

• Data Science
• Applied Artificial Intelligence and Machine Learning
• Distributed storage
• Data consistency and isolation levels.
• Performance Optimization of distributed systems
• IoT And Fog Computing
• Resource optimization in the cloud

  Academic Background

• PhD (2016): Louisiana State University
• B.Tech (2007): jadavpur University

  Subjects Taught

• Autumn: Big Data Analytics (CS505) (IIT Bhilai)
• Spring: Distributed Systems (CS525) (IIT Bhilai)
• Spring: Databases (CS254) (IIT Bhilai)
• Earlier
• Autumn 2019: Principles of Programming Languages (IIT Bhilai)
• Spring 2019: Database Systems (IIT Jodhpur)
• Spring 2019: Advanced Operating Systems (IIT Jodhpur)
• Spring 2019: Database Systems (IIT Jodhpur)
• Spring 2019: Advanced Operating Systems (IIT Jodhpur)
• Autumn 2018: Operating Systems (IIT Jodhpur)
• Autumn 2018: Object Oriented Analysis and Design (IIT Jodhpur)
• Spring 2018: Computer Organization and Architecture (IIT Jodhpur)

  Responsibilities

• Summer 2019 onwards: In-charge of Development at Computer Center, IIT Bhilai
• Program Committee member for IEEE Services Computing 2019
• Program Committee co-chair for Indosys 2019
• Summer 2019: Organizer of Workshop on Data Science and Artificial Intelligence (WDSAI '19), IIT Bhilai
• Organizer of Industry Academia Conclave (IAC), IIT Bhilai
• Reviewer for IEEE Transaction on Cloud Computing(TCC)
• Sub reviewer for 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2016)

  Professional Experience

• May, 2019-till date: Assistant Professor, EECS, IIT Bhilai
• February, 2018- May, 2019: Assistant Professor, CSE at IIT Jodhpur
• October, 2016- February, 2018: Postdoc, GSD, INESC-ID, Lisbon, Portugal
• May, 2014- September, 2014: Research Intern, RTC, Robert Bosch Gmbh., Bangalore, India
• February, 2010- July, 2011: IBM India Pvt. Ltd., Kolkata, India
• August, 2007- February, 2010: PWC India Pvt. Ltd., Kolkata, India

  Awards and Accolades

• Best Paper Candidate Award at SRDS 2019
• NetApp Faculty Fellowship (2018-2019)
• AWS Research Grant of $15000 (2016-2017)
• AbroadToComsnets award to attend COMSNETS 2013
• Economic Development Assistantship, Louisiana State University (2011-2016)

  Selected Publications

Journal Papers

1. [2019]Subhajit Sidhanta, Wojciech Golab, Supratik Mukhopadhyay, Deadline Aware Cost Optimization Model for Spark, To appear in IEEE Transactions on BigData (TBD), pages 1–12.
2. [2017]Subhajit Sidhanta, Wojciech Golab, Supratik Mukhopadhyay, Saikat Basu, Adaptable SLA-Aware Consistency Tuning Framework for Quorum-based Stores, IEEE Transactions on BigData (TBD), pages 1–14

Conference Papers

1. [2019] Subhajit Sidhanta, Ricardo Dias, Rodrigo Rodrigues A More Consistent Understanding of Consistency Accepted In 39th IEEE International Symposium on Reliable Distributed Systems (SRDS) 2019, Core-A , pages 1–10, Acceptance rate 20%. 
 
2. [2019] Subhajit Sidhanta, Supratik Mukhopadhyay, Wojciech Golab Dyn-YCSB: Benchmarking Adaptive Systems Accepted In 16th IEEE International Congress on Services Computing (SCC) 2019, Core-A , pages 1–2, Acceptance rate 17%. 
 
3. [2019] Subhajit Sidhanta, Wojciech Golab, Consistify: preserving correctness and SLA under weak consistency, 20th International Conference on Distributed Computing and Networking (ICDCN) 2019, Core-B, pages 1–10, Acceptance rate 25%.
4. [2017] Subhajit Sidhanta, Supratik Mukhopadhyay, SynAdapt: Automated Synthesis of Adaptive Agents, Accepted in 14th IEEE International Congress on Services Computing (SCC) 2017,Core-A, pages 1–4, acceptance rate 17%. 
5. [2016] Subhajit Sidhanta, Wojciech Golab, Supratik Mukhopadhyay, Saikat Basu, OptCon: An Adaptable SLA-Aware Consistency Tuning Framework for Quorum-based Stores, 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2016, Core-A , pages 1–10, Acceptance rate 20%.
  
6. [2016] Subhajit Sidhanta, Wojciech Golab, Supratik Mukhopadhyay, OptEx: A Deadline-Aware Cost Optimization Modelfor Spark, 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2016, Core-A, pages 1–10, Acceptance rate 20%.
    
7. [2016] Subhajit Sidhanta, Supratik Mukhopadhyay, Infra: SLO Aware Elastic Auto Scaling in the Cloud for Cost Reduction, 5th IEEE International Congress on Big Data (BigData Congress) 2016, pages 1–8.  
8. [2014] Kaliappa Ravindran, Supratik Mukhopadhyay, Subhajit Sidhanta, Ali Sabbir, Managing Shared Contexts in Distributed Multi-player Game Systems, , 6th International Conference on COMmunication Systems & NETworkS (COMSNETS) 2014, pages 1-10, acceptance rate 17.62%.  
9. [2013] Subhajit Sidhanta, Supratik Mukhopadhyay, An Ad-hoc Distributed Execution Environment for Multi-Agent Systems, 5th International Conference on COMmunication Systems & NETworkS (COMSNETS) 2013, pages 1-10, acceptance rate 26.4%.  
10. [2012] Subhajit Sidhanta, Supratik Mukhopadhyay, Managing A Cloud for Multi-agent Systems on Ad-hoc Networks, 5th IEEE International Conference on Cloud Computing (CLOUD) 2012, Core-B, pages 996-997 , acceptance rate 18%.  
  

Sponsored Projects

1. NetApp Faculty Fellowship: Resource Provisioning for Edge Computing: Rs 500000: Funding Agency: NetApp Inc.
2. IMPRINT IIC: Predictive Maintainence and Quality Control in Industries under Industry 4.0: Rs 7000000 : Funding Agency: DST/SERB