PeopleofSuperintelligence

Researcher

Atulya K Nagar

Atulya K Nagar is a mathematician and AI researcher whose work spans optimization, machine learning, fuzzy systems, computer vision, and cybersecurity. He earned mathematics degrees in India, received a Commonwealth Fellowship in 1993, and completed a doctorate in applied nonlinear mathematics at York in 1996. At Liverpool Hope, he became a professor, helped establish its School of Mathematics, Computer Science and Engineering, founded the Faculty of Science, and became Pro-Vice-Chancellor for Research in 2019. His research includes a cyberattack dataset, a book on the sine cosine algorithm, a dataset for drone and bird detection, and a brain-connectivity classifier. As of October 2026, he is Pro Vice-Chancellor (Research) at Liverpool Hope University.

Now at
Liverpool Hope University
Works
493
Citations
5,667
h-index
31
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1988–1996

    Mathematics degrees and a doctorate

    He earns a BSc in Mathematics and Physics in 1988, an MSc in Pure and Applied Mathematics in 1990, and an MPhil in Relativistic Cosmology in 1992 at MDS University of Ajmer. He completes a PhD in Applied Nonlinear Mathematics at the University of York in 1996.

  2. 1993

    A Commonwealth Fellowship

    He receives a Commonwealth Fellowship in 1993 to pursue doctoral studies.

  3. By 2001

    Research at Brunel

    At Brunel, he works as a Senior Research Scientist on EPSRC projects in Mathematical Sciences and Systems Engineering. He joins Liverpool Hope in 2001.

  4. 2008

    Full Professor at Hope

    He serves as a full Professor of Mathematics at Liverpool Hope from 2008.

  5. By 2019

    Founding a science faculty

    He leads the establishment of the School of Mathematics, Computer Science and Engineering and founds the Faculty of Science as its inaugural Dean by 2019.

  6. 2019

    Pro-Vice-Chancellor for Research

    In 2019, he becomes Pro-Vice-Chancellor for Research at Liverpool Hope.

  7. 2022–2025

    Cyberattack evaluation data

    In 2022, he coauthors a dataset for evaluating cyberattack defenses. In 2023, he coauthors a book on the sine cosine algorithm and contributes to a segmented drone and bird image dataset for machine-learning models. A 2025 study that he coauthors uses fNIRS brain-connectivity patterns and a deep-fuzzy classifier to assess scientific creativity.

  8. As of October 2026

    Research leadership at Hope

    As of October 2026, he is Pro Vice-Chancellor (Research) at Liverpool Hope University, with strategic responsibility for research, scholarship and knowledge exchange.

Career

  1. Since 2008Liverpool Hope UniversityProfessor of Mathematics, Inaugural Dean
  2. Until 2001Brunel University of LondonSenior Research Scientist

Education

  1. 1996University of YorkPhD in Applied Nonlinear Mathematics
  2. 1992Maharshi Dayanand Saraswati UniversityMPhil in Relativistic Cosmology
  3. 1990Maharshi Dayanand Saraswati UniversityMSc in Pure and Applied Mathematics
  4. 1988Maharshi Dayanand Saraswati UniversityBSc in Mathematics and Physics

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

Most-cited works

  1. A novel algorithm for global optimization: Rat Swarm Optimizer2020 · Journal of Ambient Intelligence and Humanized Computing · 510 citations
  2. A Deterministic Improved Q-Learning for Path Planning of a Mobile Robot2013 · IEEE Transactions on Systems Man and Cybernetics Systems · 269 citations
  3. MOSOA: A new multi-objective seagull optimization algorithm2020 · Expert Systems with Applications · 250 citations
  4. Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning2013 · IEEE Transactions on Systems Man and Cybernetics Systems · 154 citations
  5. Hybrid differential evolution and particle swarm optimization for optimal well placement2012 · Computational Geosciences · 126 citations

From OpenAlex, as of 18 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of York. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 3% to 32%Includes University of York. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  4. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.

Colleagues

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

Sources and credits

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  1. Atulya Nagar - Wikipedia en.wikipedia.org. Checked 18 October 2026.
  2. Handbook of Research on Soft Computing and Nature-inspired Algorithms - Google Books books.google.com. Checked 18 October 2026.
  3. Cyber Attack Evaluation Dataset for Deep Packet Inspection and Analysis - Hope's Institutional Research Archive (HIRA) hira.hope.ac.uk. Checked 18 October 2026.
  4. Sine Cosine Algorithm for Optimization - Hope's Institutional Research Archive (HIRA) hira.hope.ac.uk. Checked 18 October 2026.
  5. YOLO-based Segmented Dataset for Drone vs. Bird Detection for Deep and Machine Learning Algorithms - Mendeley Data data.mendeley.com. Checked 18 October 2026.
  6. Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network Based Deep-Fuzzy Classifier - Hope's Institutional Research Archive (HIRA) hira.hope.ac.uk. Checked 18 October 2026.
  7. Leadership and management - Liverpool Hope University hope.ac.uk. Checked 18 October 2026.