Curriculum Vitae · Research · Teaching

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.

13+Research publications
6+ yrsPost-PhD research
28+Invited / scientific talks
93%+Average teaching feedback
01 / Research identity

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.

02 / Career

Professional experience.

03/2025 – Present

Assistant Professor (Senior Grade)

School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India.

01/2024 – 09/2024

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).

01/2021 – 12/2023

Postdoctoral Fellow · International Centre for Theoretical Sciences

Tata Institute of Fundamental Research, Bengaluru. Funding: DAE, Government of India (RTI 4001).

02/2018 – 12/2020

Postdoctoral Fellow · The Institute of Mathematical Sciences

Chennai, India. Funding: CEFIPRA Project 5604-1.

03 / Scholarship

Selected publications.

Explore the publication list. Use the filters, search by title or author, and expand entries for the research contribution and DOI.

Persistently Non-Gaussian Metastable Liquids

V. Vaibhav, T. Das & S. Dutta*
Annalen der Physik (Berlin), 538(4), e00247 (2026)
Reports persistent heterogeneous dynamics across equilibrium and non-equilibrium glassy systems. Contribution: Corresponding author.

Crystal to liquid cross-over in the active Calogero–Moser model

S. Santra, L. Touzo, C. Dasgupta, A. Dhar, S. Dutta, A. Kundu, P. Le Doussal, G. Schehr & P. Singh
Journal of Statistical Mechanics: Theory and Experiment, 033203 (2025)
Uncovers a non-equilibrium crossover in a trapped active-particle system, from crystal states to actively melted solid. Contribution: Contributing author.

Activity-driven sorting, approach to criticality and turbulent flows in dense persistent active fluids

S. Dutta*, P. Chaudhuri, M. Rao & C. Dasgupta
arXiv:2509.00376 (2025)
Studies velocity and force sorting, critical correlations, macroscopic voids and a turbulent state in dense persistent active fluids. Contribution: First and corresponding author.

Entropic timescales of dynamic heterogeneity in supercooled liquid

V. Vaibhav & S. Dutta*
Physical Review E (Letter), 109, L062102 (2024)
Establishes the robustness of an information-theoretic measure over conventional moment-based relationships in detecting dynamic heterogeneity. Contribution: Corresponding author.

Elastoplastic approach based on microscopic insights for the steady state and transient dynamics of sheared disordered solids

C. Liu†, S. Dutta†, P. Chaudhuri & K. Martens
Physical Review Letters, 126, 138005 (2021)
A framework using coarse-grained microscopic inputs to predict failure in amorphous glasses under constant strain rate and imposed stress. Contribution: Joint first author.

Non-Gaussian information of heterogeneity in soft matter

R. Dandekar, S. Bose & S. Dutta*
Europhysics Letters, 131, 18002 (2020)
Introduces an information-theoretic quantification of non-Gaussianity and applies it to dynamic heterogeneity in soft matter. Contribution: Corresponding author.

Length-scales of dynamic heterogeneity in a driven binary colloid

S. Dutta* & J. Chakrabarti
Physical Chemistry Chemical Physics, 22, 17731 (2020)
Identifies length scales and persistence of intermittent structures underlying dynamic heterogeneity in a model non-equilibrium system. Contribution: First and corresponding author.

Microscopic insights into dynamical heterogeneity in a lane forming colloid

S. Dutta*
Chemical Physics, 522, 256 (2019)
Interprets dynamical heterogeneity in a lane-forming system through partial structures of slow- and fast-moving clusters. Contribution: Solo author.

Transient dynamical responses of a charged binary colloid in an electric field

S. Dutta* & J. Chakrabarti
Soft Matter, 14, 4477 (2018)
Examines transient dynamical and structural response of a binary charged colloidal system to a constant electric field. Contribution: First and corresponding author.

Anomalous dynamical responses in a driven system

S. Dutta* & J. Chakrabarti
Europhysics Letters, 116, 38001 (2016)
Reports Brownian-yet-non-Gaussian diffusion in a driven system. Contribution: First author.

Analytical form of forces in hydrophobic collapse

J. Chakrabarti & S. Dutta
Chemical Physics Letters, 620, 109 (2015)
Derives an analytical form of effective interaction forces responsible for hydrophobic collapse. Contribution: Second author.

Creep response of athermal amorphous solids under imposed shear stress

S. Dutta, K. Martens & P. Chaudhuri
arXiv:2303.04718 (2023) · Submitted to Journal of Chemical Physics (as stated in CV)
Uses molecular dynamics simulations to investigate how annealing history determines the athermal creep response of amorphous systems, including spatiotemporal signatures near yielding. Contribution: First author.
04 / Sponsored research

Projects & grants.

International computing grant

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).

Industry–academia collaboration

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.

05 / Teaching & mentoring

Teaching that connects fields.

B.Tech AI & Data Science core teaching at Amrita Vishwa Vidyapeetham.

Odd 2026–27

Mathematics for Intelligent Systems – III · 23MAT204

Two sections · 131 students · 3 credits × 2 · Average TLP feedback: 95.52%.

Even 2025–26

Introduction to Material Informatics · 23CHY115

Two sections · 129 students · 3 credits × 2 · Average TLP feedback: 91.29%.

Odd 2025–26

Mathematics for Intelligent Systems – I · 23MAT106

Two sections · 132 students · 4 credits × 2 · Average TLP feedback: 93.11%.

Fall 2015

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.

06 / Knowledge exchange

Selected talks & invited presentations.

A selection of presentations from the full academic record, with recent talks first.

October 2026

Inverse Learning Complex Systems

Statistical Mechanics Meeting Kolkata, S. N. Bose National Centre for Basic Sciences.

October 2026

An Adaptive AI Assisted Framework for Personalized Indian Nutrition

58th NSI Conference, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore.

June 2026

Persistently Non-Gaussian Meta-stable Fluids

Early Career Seminar, S. N. Bose National Centre for Basic Sciences, Kolkata.

February 2026

Data Driven Model Engineering

Workshop on Mathematics of Modern AI and Data Science in a Day, Amrita Vishwa Vidyapeetham.

January 2026

Persistently Non-Gaussian Meta-stable Fluids

Soft Matter Seminar, The Institute of Mathematical Sciences, Chennai.

August 2024

Entropic Timescales of Dynamic Heterogeneity in Supercooled Liquid

Condensed Matter and Statistical Physics Symposium, Presidency University. Best Oral Presenter Award (WILEY).

2024

Persistent Active Fluids

Talks at IISER Bhopal, S. N. Bose National Centre for Basic Sciences, IMSc Chennai and Simons Centre, NCBS-TIFR.

2023–2015

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.

07 / International & national links

Research visits & collaborations.

S. N. Bose National Centre for Basic Sciences · 2026The Institute of Mathematical Sciences · 2026Indian Statistical Institute · 2025Indian Institute of Science · 2024IISER Bhopal · 2024Université Grenoble Alpes · 2018, 2019Heinrich-Heine-Universität Düsseldorf · 2019
08 / Academic citizenship

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).
09 / Academic foundations

Education.

2012 – 2018

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.

2010 – 2012

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.

2010 – 2018

Post-B.Sc. Integrated PhD Research Fellow

S. N. Bose National Centre for Basic Sciences, Kolkata (batch of 2010).

10 / Current directions

Research in progress.

Submitted / 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.

Submitted / in progress

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.