PeopleofSuperintelligence

Researcher

Gitakrishnan Ramadurai

Gitakrishnan Ramadurai is a transportation researcher whose work applies computer vision and deep learning to traffic systems. He pursued a PhD at RPI from 2005 to 2009, writing a dissertation on dynamic user-equilibrium models, multi-dimensional choice and an efficient algorithm; he received the ITS World Congress Second Paper Award in 2008 and the INFORMS TSL Society Best Transportation Science Dissertation Award in 2009. His research includes a 2015 study of contagion on Indian urban bus networks, a 2018 paper on deep-learning vehicle detection with limited heterogeneous traffic data, and an IMPRINT project on connected intermediate public transport from 2019 to 2022. In 2022, he coauthored a CVPR Workshops paper on edge-device vehicle counting that uses ensemble knowledge distillation to improve tiny vehicle detectors. As of October 2026, he is a professor at IIT Madras’s Wadhwani School of Data Science and Artificial Intelligence; he gave an “AI in Transportation” guest lecture at Thiagarajar College of Engineering in the 2025–2026 academic year.

Timeline

  1. 2005–2009

    Doctoral work at RPI

    At RPI, he pursues a PhD from fall 2005 to summer 2009 and writes a dissertation titled “Novel Dynamic User-Equilibrium Models: Analytical Formulations, Multi-Dimensional choice, and an Efficient Algorithm.”

  2. 2008

    An ITS World Congress award

    In 2008, he receives a Second Paper Award at the ITS World Congress for “Next Generation Traveler Guidance Systems.”

  3. 2009

    An INFORMS dissertation award

    In 2009, he wins the INFORMS TSL Society Best Transportation Science Dissertation Award.

  4. 2015

    Contagion in urban bus networks

    In 2015, he coauthors an arXiv paper on contagion processes in urban bus networks across Indian cities with Atanu Chatterjee and Krishna Jagannathan.

  5. 2018

    Deep learning for vehicle detection

    In 2018, he coauthors a paper on training a deep-learning architecture to detect vehicles in limited heterogeneous traffic data.

  6. 2019–2022

    A connected transit project

    From 2019 to 2022, he works on an IMPRINT project for connected intermediate public transport, mobility-as-a-service and last-mile connectivity.

  7. 2022

    Vehicle counting on edge devices

    In 2022, he coauthors a CVPR Workshops paper proposing a Detect-Track-Count framework for vehicle counting on edge devices. The team uses ensemble knowledge distillation to improve tiny vehicle detection models.

  8. As of October 2026

    Professor at Wadhwani School

    In the 2025–2026 academic year, he gives an “AI in Transportation” guest lecture at Thiagarajar College of Engineering as an IIT Madras professor. As of October 2026, he is a Professor at IIT Madras’s Wadhwani School of Data Science and Artificial Intelligence, with research interests in dynamic traffic assignment, transportation network modelling, intelligent transportation systems and pedestrian safety.

Career

  1. NowIIT MadrasProfessor

Education

  1. 2009Rensselaer Polytechnic InstitutePhD

From the biography.

  1. The United States employs an estimated 48% of people shaping AIIncludes IIT Madras. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes IIT Madras. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes IIT Madras. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes IIT Madras. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Sources and credits

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  1. Alumni engineering.purdue.edu. Checked 22 October 2026.
  2. Dr. Satish Ukkusuri web.ics.purdue.edu. Checked 22 October 2026.
  3. [1509.04553] Contagion processes on urban bus networks in Indian cities arxiv.org. Checked 22 October 2026.
  4. Publications | Wadhwani School of Data Science and Artificial Intelligence wsai.iitm.ac.in. Checked 22 October 2026.
  5. TR : Department of Civil Engineering-IIT Madras civil.iitm.ac.in. Checked 22 October 2026.
  6. CVPR 2022 Open Access Repository openaccess.thecvf.com. Checked 22 October 2026.
  7. Civil Engineering | Thiagarajar College of Engineering tce.edu. Checked 22 October 2026.
  8. Indian Institute of Technology Madras - Faculty iitm.ac.in. Checked 22 October 2026.
  9. Gitakrishnan Ramadurai | Wadhwani School of Data Science and Artificial Intelligence wsai.iitm.ac.in. Checked 22 October 2026.