SUMAN DUTTA.
Interdisciplinary physicist working at the intersection of Physics + AI, complex systems and data-driven scientific discovery.
I explore the dynamics of soft, active and disordered matter, and develop computational and learning-based approaches to understand complex systems. My academic work spans research, teaching, mentoring and interdisciplinary collaboration.
Ideas across disciplines.
A research profile connecting physical principles, computational modelling and intelligent methods.
Research interests
Soft matter physics · Active matter · Non-equilibrium statistical mechanics · Glassy dynamics · Dynamical heterogeneity · Complex fluids · Non-Gaussian diffusion · Rheology and yielding.
Physics + AI
Data-driven model engineering · Reduced-order modelling · Koopman and HAVOK methods · Scientific machine learning · AI for complex systems · Interpretable computational approaches.
Research approach
Numerical simulations, molecular dynamics, statistical physics, information-theoretic measures, dynamical systems analysis and learning-based prediction.
Research profile
13 international publications (10 published as stated in the CV); 7 of 10 published papers as corresponding author. h-index 5 · i10-index 4 · i20-index 3 · 13.1 citations per paper.
Professional experience.
Assistant Professor (Senior Grade)
School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Postdoctoral Fellow · Simons Centre for the Study of Living Machines
National Centre for Biological Sciences – TIFR, Bengaluru. Funding: Simons Foundation (Grant 287975); DAE, Government of India (RTI 4006).
Postdoctoral Fellow · International Centre for Theoretical Sciences
Tata Institute of Fundamental Research, Bengaluru. Funding: DAE, Government of India (RTI 4001).
Postdoctoral Fellow · The Institute of Mathematical Sciences
Chennai, India. Funding: CEFIPRA Project 5604-1.
Selected publications.
Explore the publication list. Use the filters, search by title or author, and expand entries for the research contribution and DOI.
Crystal to liquid cross-over in the active Calogero–Moser model
Activity-driven sorting, approach to criticality and turbulent flows in dense persistent active fluids
Entropic timescales of dynamic heterogeneity in supercooled liquid
Elastoplastic approach based on microscopic insights for the steady state and transient dynamics of sheared disordered solids
Non-Gaussian information of heterogeneity in soft matter
Length-scales of dynamic heterogeneity in a driven binary colloid
Microscopic insights into dynamical heterogeneity in a lane forming colloid
Transient dynamical responses of a charged binary colloid in an electric field
Anomalous dynamical responses in a driven system
Analytical form of forces in hydrophobic collapse
Creep response of athermal amorphous solids under imposed shear stress
Projects & grants.
Glassy Rheology — EuroHPC JU Benchmark Grant
2000 node-hours on LUMI-G, identified in the CV as the 9th fastest supercomputer globally. Completed (2025–26). Role: Co-PI. PI: R. Cabriolu (NTNU).
Multimodal Agentic AI for Geological Well Log Analysis
Proof-of-concept system developed with Telesto Energy Pvt. Ltd. through Amrita’s Directorate of Corporate & Industry Relations. Completed (2025–26). Role: Co-PI. PI: Abhijith A.
Teaching that connects fields.
B.Tech AI & Data Science core teaching at Amrita Vishwa Vidyapeetham.
Mathematics for Intelligent Systems – III · 23MAT204
Two sections · 131 students · 3 credits × 2 · Average TLP feedback: 95.52%.
Introduction to Material Informatics · 23CHY115
Two sections · 129 students · 3 credits × 2 · Average TLP feedback: 91.29%.
Mathematics for Intelligent Systems – I · 23MAT106
Two sections · 132 students · 4 credits × 2 · Average TLP feedback: 93.11%.
Research Methodology
S. N. Bose National Centre for Basic Sciences, with S. Choudhury.
Research mentoring
One PhD student enrolled at the School of Physical AI, Amrita Vishwa Vidyapeetham. Research interns: Archit Harish, Agnevesh Jagdish and Abhinav Venkatraman (2025–26).
International thesis co-supervision
“Understanding Non-Newtonian Materials”, Magnus Olsen, Norwegian University of Science and Technology, jointly with Dr Raffaela Cabriolu. Submitted September 2026; defended October 2026.
Selected talks & invited presentations.
A selection of presentations from the full academic record, with recent talks first.
Inverse Learning Complex Systems
Statistical Mechanics Meeting Kolkata, S. N. Bose National Centre for Basic Sciences.
An Adaptive AI Assisted Framework for Personalized Indian Nutrition
58th NSI Conference, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore.
Persistently Non-Gaussian Meta-stable Fluids
Early Career Seminar, S. N. Bose National Centre for Basic Sciences, Kolkata.
Data Driven Model Engineering
Workshop on Mathematics of Modern AI and Data Science in a Day, Amrita Vishwa Vidyapeetham.
Persistently Non-Gaussian Meta-stable Fluids
Soft Matter Seminar, The Institute of Mathematical Sciences, Chennai.
Entropic Timescales of Dynamic Heterogeneity in Supercooled Liquid
Condensed Matter and Statistical Physics Symposium, Presidency University. Best Oral Presenter Award (WILEY).
Persistent Active Fluids
Talks at IISER Bhopal, S. N. Bose National Centre for Basic Sciences, IMSc Chennai and Simons Centre, NCBS-TIFR.
Invited and contributed scientific presentations
Topics include creep response, yielding, jamming dynamics, active matter, dynamical heterogeneity, non-Gaussian diffusion and self-organization. Venues include ICTS-TIFR, IMSc, SNBNCBS, IISc, ISI Kolkata, Université Grenoble Alpes and Heinrich-Heine-Universität Düsseldorf.
Research visits & collaborations.
Service, leadership & outreach.
Academic roles
- Class AdvisorB.Tech AI & Data Science — Quantum Technologies, Semester 1 (2026–29).
- Joint Coordinator (Academic)B.Tech AI & Data Science — Quantum Technologies (2025–26).
- Curriculum Design PanelistDesigned syllabus for three microcredential courses in AI — Quantum Technologies (May 2025).
- Interview PanelistM.Tech and PhD admissions, Department of Artificial Intelligence (2025, 2026).
- University RepresentativeAmrita Entrance Examination Engineering, Phase II, West Godavari (May 2025).
Editorial and professional service
- Invited reviewerNonlinear Dynamics (Springer Nature), Europhysics Letters (IOP), Chemical Physics Letters (Elsevier), Chemical Physics (Elsevier), Physical Chemistry Chemical Physics (RSC).
- Associate MemberThe Royal Society of Chemistry, UK · admitted January 2021.
- Gemini Certified FacultyProfessional AI Certification for Educators by Google (2025–2028).
- Session ChairSteady State Phenomena in Soft Matter, Active and Biological Systems, SNBNCBS (March 2023).
Scientific outreach organised
- AI for Humanity · UN SDG Hackathon28 groups · Amrita School of AI · 11–13 July 2026.
- 125 Minutes · International Mini-WorkshopOnline · 100+ participants · 6 February 2026 · with M. Mondal and A. Banerjee.
- AI for Greener Future · Outreach Hackathon23 student groups · 28–29 August 2025.
Awards & recognition
- Best Oral PresenterCondensed Matter and Statistical Physics Symposium, Presidency University (August 2024).
- Visiting Research GrantIndo-French Centre for the Promotion of Advanced Research (CEFIPRA), 2018 and 2019.
- West Bengal Merit-cum-Means ScholarshipGovernment of West Bengal (2006–2009).
- National Merit ScholarshipMinistry of Human Resource Development, Government of India (2004).
Education.
PhD · Numerical Studies on the Dynamics of Soft Matter Systems
Department of Chemical, Biological and Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata. Degree awarded by the University of Calcutta, 9 July 2019. Advisor: Professor J. Chakrabarti.
M.Sc.
S. N. Bose National Centre for Basic Sciences, Kolkata. DGPA: 7.92/10. Degree awarded by West Bengal University of Technology. Research advisor: Professor J. Chakrabarti.
Post-B.Sc. Integrated PhD Research Fellow
S. N. Bose National Centre for Basic Sciences, Kolkata (batch of 2010).
Research in progress.
Reduced-Order Learning and Predictions of Confined Run-and-Tumble Particle Dynamics
T. Asmitha, S. Moushika, V. Vaibhav & S. Dutta*. Uses ε-SVR for steady-state distributions and the HAVOK framework for short-horizon dynamical forecasting of confined interacting run-and-tumble particles. Submitted to the 2nd International Conference on Applied Mathematics and Mechanics, IIT Indore. Contribution: Corresponding author.
Coherent Swarm Transport in Structured and Constrained Geometries
H. Kumaar S, SSR Vatsan, S. Das & S. Dutta*. A parameterised Boids-based framework for collective navigation in obstacle-rich environments, evaluated through trajectories, leader-tracking error, spatial dispersion and parameter sweeps. Submitted to the 2nd International Conference on Applied Mathematics and Mechanics, IIT Indore. Contribution: Corresponding author.