About Me
I am an academic researcher working at the intersection of rigorous mathematical theory, applied probability and statistics, data science frameworks, and scalable computational tools. Currently, I am a Postdoctoral Fellow in the Decision Sciences Department at the Indian Institute of Management Bangalore (IIMB), working alongside
Prof. Soudeep Deb and
Prof. Anand Deo.
Prior to this role, I conducted research at Sorbonne University Abu Dhabi under the supervision of
Prof. Tanujit Chakraborty, focusing on pairing deep learning frameworks with real-world datasets.
I completed my PhD on network-driven nonlinear epidemic model analysis and simulations with
Prof. Nachiketa Mishra at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Kancheepuram, Chennai.
Areas of Interest
- Extreme Value Theory (EVT) & Spatial Extremes
- Energy-Balanced Climate Modeling & Data-Driven Statistical Modeling
- Machine Learning & Epidemic-informed Deep Learning
- Network-Driven Epidemic Modeling & Stochastic Perturbations
- Bayesian Inference & Uncertainty Quantification
Publications & Research
A comprehensive overview of my ongoing and published research.
Last updated:
Working Paper
Data-Driven Estimation of Rare Event Probabilities for Spatial Extremes and Its Applications
Madhab Barman, Lizan Pereira, Anand Deo, and Soudeep Deb
Modeling spatial extremes is vital for assessing climate risk, yet existing models suffer
from bias or poor convergence due to limited extreme data.
We propose a robust, data-driven non-parametric framework leveraging regular
variation theory to reliably estimate spatial rare-event probabilities despite data paucity.
Preprints and Submitted Articles
1. Modeling control, lockdown & exit strategies for COVID-19 pandemic in India
M. Barman, S Nayak, MK Yadav, S Raha, N Mishra
medrxiv, 2020,
doi: https://doi.org/10.1101/2020.07.25.20161992
2. Mobility-Driven Dynamics and Risks of a Caputo Fractional SEIR Model
with Saturated Incidence over Weighted Networks
M. Barman and N Mishra
Under Review, 2026
Publications
1. Hopf bifurcation in a networked delay SIR epidemic model
Madhab Barman and Nachiketa Mishra
Journal of Mathematical Analysis and Applications, Article: 127131, Volume 525, Issue 1, pp. 1-16, 2023;
doi: 10.1016/j.jmaa.2023.127131
2. Hopf bifurcation analysis for a delayed nonlinear-SEIR epidemic model on networks
Madhab Barman and Nachiketa Mishra
Chaos, Solitons & Fractals, Article: 114351, Volume 178, pp. 1-14, 2024;
doi: 10.1016/j.chaos.2023.114351
3. Network-Driven Global Stability Analysis: SVIRS Epidemic Model
Madhab Barman and Nachiketa Mishra
Journal of Biological Systems, Volume 33, No. 02, pp. 403-422, 2025;
doi: 10.1142/S0218339025500093
4. Network-driven stability analysis and optimal control for a weighted networked SAIR model in epidemiology
Madhab Barman and Nachiketa Mishra
International Journal of Dynamics and Control, Volume 13, Issue 53, pp. 1-19, 2025;
doi: 10.1007/s40435-024-01556-8
5. Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak
Madhab Barman Madhurima Panja, Nachiketa Mishra and Tanujit Chakraborty
Machine Learning, Volume 114, Issue 2013, pp. 1-59, 2025;
doi: 10.1007/s10994-025-06848-4
6. Stochastic SEIR dynamics via graph Laplacian diffusion under transmission uncertainty
Prince Achankunju, Madhab Barman Nachiketa Mishra, Saroj Kumar Dash
Scientific Reports, pp. 1-41, 2026;
doi: 10.1038/s41598-026-73910-z (PA & MB contributed equally to this work)
Conference Publications
1. A time-delay SEAIR model for COVID-19 spread
Madhab Barman and Nachiketa Mishra
Conference on Information and Communication Technology (CICT), Chennai, India, 2020, pp. 1-6,
doi: 10.1109/CICT51604.2020.9312111
2. Susceptible-infected-removed epidemic model on network: a migration flow study
Madhab Barman and Nachiketa Mishra
Conference on Information and Communication Technology (CICT), Gwalior, India, 2022, pp. 1-6,
doi: 10.1109/CICT56698.2022.9997851
Talks & Presentations
Selected academic conference presentations, seminars, and workshop lectures.
Feb 2026
Advances in Risk Analysis & Management: A Focus on Emergent Risks
Singapore
Presented core findings on data-driven statistical modeling for spatial scaling in extreme value theory and associated real-world impacts.
June 2026
International Symposium on Nonparametric Statistics - ISNPS 2026
Greece
Presented core findings on data-driven statistical modeling for spatial scaling in extreme value theory and associated real-world impacts.
Teaching Portfolio
"My teaching philosophy centers on pairing abstract, rigorous mathematical foundations with modern computational validation, running concurrent hands-on coding environments."
Teaching Assistant
Delivered targeted recitation sessions, constructed grading schematics, and held office hours for core mathematical and computational pathways:
- Calculus & Linear Algebra
- Numerical Methods & Ordinary Differential Equations
- Optimization in Machine Learning
- Probability & Statistics
- C-Programming
