Anirban Bhattacharjee

Employment

• Intel Corporation
  2022 - Present
• National Institute of Standards and Technology Post Doctoral Research Associate
  2020 - 2022
• Arm Ltd Summer Intern
  2018 - 2018
• Vanderbilt University Research/Teaching Assistant
  2012 - 2020
• Tata Consultancy Services Ltd Systems Engineer
  2009 - 2012

Education

• Vanderbilt University PhD
  2012 - 2020
• West Bengal University of Technology B.Tech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Toward Rapid Development and Deployment of Machine Learning Pipelines across Cloud-Edge
  Deep Learning for Internet of Things Infrastructure 2021 DOI: https://doi.org/10.1201/9781003032175
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• Designing Metrology for Automated Driving Systems Safety using NIST CPS Framework
  2021 Virtual Simulation Innovation Workshop, SIW 2021 2021
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• Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
  Proceedings - 4th IEEE International Conference on Fog and Edge Computing, ICFEC 2020 2020 DOI: 10.1109/ICFEC50348.2020.00016
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• Linearize, predict and place minimizing the makespan for edge-based stream processing of directed acyclic graphs
  Proceedings of the 4th ACM/IEEE Symposium on Edge Computing - SEC '19 2019 DOI: 10.1145/3318216.3363315
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• BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services
  2019 IEEE International Conference on Cloud Engineering (IC2E) 2019 DOI: 10.1109/ic2e.2019.00-10
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• Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks
  2019 USENIX Conference on Operational Machine Learning (OpML 19) 2019
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• STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications
  Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 2019 DOI: 10.1109/BigData47090.2019.9006518
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• Upsara: A model-driven approach for performance analysis of cloud-hosted applications
  Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018 2019 DOI: 10.1109/UCC.2018.00009
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• (WIP) CloudCAMP: Automating the Deployment and Management of Cloud Services
  2018 IEEE International Conference on Services Computing (SCC) 2018 DOI: 10.1109/scc.2018.00038
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• UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications
  2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC) 2018
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