PeopleofSuperintelligence

Researcher

Pradeep Singh

Pradeep Singh is a mathematician whose AI research draws on dynamical systems, geometry and machine learning. He ranked first in IIT JAM, CSIR-NET and GATE, earned a PhD in symbolic systems at IIT Delhi, and studied hyperbolic billiards with Anima Nagar. At IIT Roorkee, he pursued geometric deep learning and work on equivariant learning. He coauthored books on transformer mathematics, AI and machine learning, including a 2026 book on machine-learning foundations; he is an assistant professor and Associate Dean (R&D) at IIIT Surat, where he leads DeepDynamics Lab.

Now at
Indian Institute of Information Technology Surat
Works
74
Citations
117
h-index
6

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2015–2020

    Exam ranks and hyperbolic billiards

    He ranks first in IIT JAM in 2015, CSIR-NET in 2019 and GATE in 2020. His 2020 paper with Anima Nagar studies geodesic billiard trajectories on the hyperbolic plane and shows that the dynamics form subshifts of finite type or their dense subsets.

  2. 2022

    A doctorate in symbolic systems

    He earns a PhD in Symbolic Systems at IIT Delhi in 2022, along with a master’s degree there; he also holds a bachelor’s degree in data science from IIT Madras.

  3. October 2022–March 2024

    Postdoctoral work at IIT Roorkee

    At IIT Roorkee’s Machine Vision & Intelligence Labs, he holds an NBHM postdoctoral fellowship in geometric deep learning from October 2022 to March 2024.

  4. December 2023

    Bratteli models for billiards

    In December 2023, he and Anima Nagar publish online Bratteli–Vershikisability of Polygonal Billiards on the Hyperbolic Plane. The paper describes Bratteli models and shows that the billiard dynamics can be represented by Vershik maps.

  5. April 2024–February 2026

    Towards Elastic Equivariance

    From April 2024 to February 2026, his postdoctoral research focuses on “Towards Elastic Equivariance: Equivariant Learning in Elastically Transformed Spaces.” A SERB National Post Doctoral Fellowship supports his research.

  6. 2025

    Transformer and AI textbooks

    He and Balasubramanian Raman publish The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning in 2025, a mathematical account of transformer networks. In July 2025, he and Raman coauthor Artificial Intelligence and Machine Learning with Tapan K Gandhi, a textbook on AI and machine-learning fundamentals.

  7. 2026

    Machine-learning foundations book

    In 2026, he and Balasubramanian Raman publish Foundations of Machine Learning and AI: Geometry, Probability and Optimization, a book that connects linear algebra, probability and statistical learning.

  8. As of October 2026

    Assistant professor at IIIT Surat

    As of October 2026, he is Assistant Professor (Grade-I) in IIIT Surat’s Department of Mathematics and Computational Sciences and Associate Dean (R&D). He leads DeepDynamics Lab, where research includes geometry-inspired machine learning, dynamical systems, reservoir computing, structured memory and agentic systems.

Career

  1. Since 2026Indian Institute of Information Technology SuratAssistant Professor (Grade-I)
  2. 2022–2024Indian Institute of Technology RoorkeePostdoctoral Fellow
  3. 2022–2026National Institute of Technology Raipur

Education

  1. 2022IIT DelhiMaster’s degree
  2. IIT MadrasBachelor’s degree in Data Science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude2024 · IEEE Transactions on Geoscience and Remote Sensing · 15 citations
  2. Performance of Optimizers in Text Summarization for News Articles2023 · Procedia Computer Science · 11 citations
  3. Nondestructive Identification of Wheat Species using Deep Convolutional Networks with Oversampling Strategies on Near-Infrared Hyperspectral Imagery2024 · Journal of Nondestructive Evaluation · 10 citations
  4. Hodge-projected echo-state networks with topologically anchored memory for chaotic flows2025 · Chaos Solitons & Fractals · 6 citations
  5. On metric dimension of some planar graphs with 2n odd sided faces2022 · Discrete Mathematics Algorithms and Applications · 6 citations

From OpenAlex, as of 21 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Indian Institute of Technology Roorkee. 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.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Indian Institute of Technology Roorkee. 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.
  3. 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.
  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.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Foundations of Machine Learning and AI: Geometry, Probability and Optimization books.google.com. Checked 20 October 2026.
  2. Finiteness in Polygonal Billiards on Hyperbolic Plane arxiv.org. Checked 20 October 2026.
  3. Machine Vision & Intelligence Labs, IITR balarsgroup.github.io. Checked 20 October 2026.
  4. Bratteli–Vershikisability of Polygonal Billiards on the Hyperbolic Plane cambridge.org. Checked 20 October 2026.
  5. The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning books.google.com. Checked 20 October 2026.
  6. Artificial Intelligence and Machine Learning mheducation.co.in. Checked 20 October 2026.
  7. People — DeepDynamics Lab deepdynamicsai.github.io. Checked 20 October 2026.