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Welcome to Vijay Gadepally's Webpage.

Dr. Vijay Gadepally is a senior scientist and principal investigator at the Massachusetts Institute of Technology (MIT) Lincoln Laboratory and works closely with the Computer Science and Artificial Intelligence Laboratory (CSAIL). Vijay holds a M.Sc. and PhD in Electrical and Computer Engineering from The Ohio State University and a B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur. Vijay has previously served as the President of the Council of Graduate Students and Chairperson of the Student Commercialization Board at The Ohio State University. Vijay has also been the National Director of Employment Concerns for the National Association of Graduate-Professional Students. In 2017, Vijay received the Early Career Technical Achievement Award at MIT Lincoln Laboratory and was named to AFCEA's inaugural 40 under 40 list. In 2011, Vijay received an Outstanding Graduate Student Award at The Ohio State University.

Vijay is interested in the technical and social aspects of artificial intelligence (AI), big data, high performance computing, polystore databases, graph analytics, cyber security (privacy preserving technology) and autonomous (self-driving) vehicles..

[Google Scholar]

Honors & Awards:

  • Best Student Paper Finalist, A Survey of Attacks and Defenses of Edge-Deployed Neural Networks, IEEE HPEC, 2019
  • Senior Member, IEEE, 2019
  • Best Paper Award Finalist, Measuring the Impact of Spectre and Meltdown, IEEE HPEC, 2018
  • AFCEA  "40 Under 40 List", AFCEA International, 2017
  • R&D 100 Award Finalist, BigDAWG Polystore System, 2017
  • Early Career Technical Excellence Award, MIT Lincoln Laboratory, 2017
  • MIT Lincoln Laboratory Team Award, 2017
  • Outstanding Student Paper Award Finalist, Cloud-based Large-scale Brain Connectivity Analysis Using Accumulo and D4M, IEEE HPEC, 2017
  • Outstanding Student Paper Award Finalist, Cross-Engine Query Execution in Federated Database Systems, IEEE HPEC, 2016
  • Best Paper Award, Julia Implementation of the Dynamic Distributed Dimensional Data Model, IEEE HPEC, 2016
  • Outstanding Student Paper Award, From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database, IEEE HPEC, 2016
  • Best Paper Award Finalist, Benchmarking SciDB Data Import on HPC Systems, IEEE HPEC, 2016
  • Outstanding Student Paper Award Finalist, Improving Big Data Visual Analytics with Interactive Virtual Reality, IEEE HPEC, 2015
  • Outstanding Graduate Student Award, The Ohio State University, 2011

Recent News/Talks:

  • April 2020: Speaking at ODSC East Conference
  • February 2020: Looking for multiple postdoctoral associates [Link]
  • February 2020: Poly'20 workshop will be held in conjunction with VLDB 2020 [Link]
  • January 2020: Emily's work on Cyber Network Analysis accepted to IEEE ICASSP 2020
  • October 2019: Jeremy's work on network background modeling featured on MIT News [Link]
  • September 2019: White paper on AI Model & Data Sharing [White Paper]
  • September 2019: Course on Networks: Cyber, Social and Neural at MIT
  • July 2019: FastAI Seminar at Wright Brothers Institute
  • June 2019: Congratulations to Mihailo for a Best Student Paper nomination at IEEE HPEC 2019!
  • May 2019: Short white paper on Getting Data Ready for AI [White Paper]
  • April 2019: Technical report on AI Enabling Technologies [Technical Report]
  • March 2019: Article on Interative HPC [HPC Wire]
  • March 2019: Elevated to Senior Member, IEEE
  • February 2019: Article on recent work using HPC for Cyber Security [MIT News]
  • February 2019: Poly'19 workshop will be at VLDB'19
  • January 2019: SIGMOD Record article on Database Access Control
  • January 2019: IEEE Access Journal article on Web Based Polystores
  • December 2018: Book chapter in "Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker"
  • October 2018: Talk at 2018 Accumulo Summit
  • September 2018: Papers/Talks at IEEE HPEC
  • September 2018: PC member - IEEE BigData'18; ICDCS'19
  • September 2018: BigDAWG related papers at Poly'18@VLDB
  • August 2018: Poly'18 workshop at VLDB'18 
  • August 2018: The Register article on Andy's work benchmarking Spectre/Meltdown
  • Summer 2018:  Course on Modern Graph Theory