Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents
Hari Balakrishnan

Hari Balakrishnan

· Professor of Electrical Engineering and Computer Science

Massachusetts Institute of Technology · Electrical Engineering and Computer Science

Active 1995–2026

h-index104
Citations94.1k
Papers30529 last 5y
Funding$10.2M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

See your match with Hari Balakrishnan — sign in to PhdFit.Sign in

About

Fujitsu Professor in Electrical Engineering and Computer Science at MIT, Hari Balakrishnan specializes in security and cryptography, systems and networking. His research areas include designing systems that sense, process, and transmit energy and information, leveraging computational, theoretical, and experimental tools to develop groundbreaking sensors, energy transducers, and physical substrates for computation. He has made significant contributions to the fields of electrical engineering and computer science, focusing on addressing shared challenges facing humanity through innovative system development. Hari Balakrishnan has been recognized for his work with the Marconi Prize, the top honor within the field of communications technology, awarded on February 22, 2023.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Computer Security
  • Real-time computing
  • Information Retrieval
  • Operating system
  • Computer network
  • Computer vision
  • Materials science
  • Theoretical computer science

Selected publications

  • Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding

    Lecture notes in computer science · 2020 · 102 citations

  • MIRIS: Fast Object Track Queries in Video

    2020 · 68 citations

    Video databases that enable queries with object-track predicates are useful in many applications. Such queries include selecting objects that move from one region of the camera frame to another (e.g., finding cars that turn right through a junction) and selecting objects with certain speeds (e.g., finding animals that stop to drink water from a lake). Processing such predicates efficiently is challenging because they involve the movement of an object over several video frames. We propose a novel…

  • Toward a Marketplace for Aerial Computing

    2021-06-24 · 5 citations

    articleOpen accessSenior author

    The rapid proliferation of commodity drones has expanded interest in building applications that acquire imagery, video, and sensor data at scale. In addition, recent work on drone programming frameworks have simplified the development of aerial computing apps that gather this data. These advancements have popularized the drones-as-a-service model, where large drone fleets serve multiple apps simultaneously.

  • Principles for Internet Congestion Management

    2024-07-31 · 4 citations

    articleOpen access

    Given the technical flaws with---and the increasing non-observance of---the TCP-friendliness paradigm, we must rethink how the Internet should manage bandwidth allocation. We explore this question from first principles, but remain within the constraints of the Internet's current architecture and commercial arrangements. We propose a new framework, Recursive Congestion Shares (RCS), that provides bandwidth allocations independent of which congestion control algorithms flows use but consistent wit…

  • Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning

    ArXiv.org · 2025-02-18 · 1 citations

    preprintOpen accessSenior author

    Assessing and enhancing human learning through question-answering is vital, yet automating this process remains challenging. While large language models (LLMs) excel at summarization and query responses, their ability to generate meaningful questions for learners is underexplored. We propose Savaal, a scalable question-generation system with three objectives: (i) scalability, enabling question generation from hundreds of pages of text (ii) depth of understanding, producing questions beyond factu…

Recent grants

Frequent coauthors

Education

  • Ph.D., Computer Science

    Massachusetts Institute of Technology

    1989
  • M.S., Electrical Engineering and Computer Science

    Massachusetts Institute of Technology

    1985
  • B.S., Electrical Engineering

    Indian Institute of Technology, Madras

    1981

Awards & honors

  • Marconi Prize

Similar researchers at Massachusetts Institute of Technology

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Hari Balakrishnan

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup