ISBIS StatFin 2026

7-11 December, 2026

The Eleventh Meeting on Statistical Methods in Finance (StatFin) will be held jointly with the 2026 Annual Meeting of the International Society for Business and Industrial Statistics (ISBIS). This joint initiative brings together researchers, academics, and practitioners working at the interface of artificial intelligence, data science, and statistics with applications to several domains that include, but are not limited to finance, marketing, supply chains, and other industry. The conference will run for 3 days, Dec 9 – 11. On Dec 7 - 8, we will run Short Courses. This joint conference is designed to promote focused discussions, cross-fertilisation of ideas, and active engagement between speakers and attendees across diverse conference themes, including statistical finance.

Each day will have one track devoted entirely to StatFin (statistical finance) talks, along with multiple parallel sessions covering a range of contemporary topics in business and industrial statistics, enabling participants to engage with research that closely aligns with their specific interests while benefiting from the broader joint meeting ecosystem.

The joint ISBIS & StatFin Conference will be jointly organised by the Chennai Mathematical Institute (CMI) and the International Society for Business and Industrial Statistics (ISBIS).

The meeting will be organised by

The logistic partner is AlgoLabs

Plenary Speakers

Francisco Louzada
University of São Paulo, Brazil

Reliability Engineering and Bayesian Statistical Methods

Rituparna Sen
Indian Statistical Institute, Bangalore, India

Functional Data Analysis and Applied Statistical Modeling

Nina Golyandina
St. Petersburg State University, Russia

Singular Spectrum Analysis and Nonparametric Time Series

Werner Müller
Johannes Kepler University Linz, Austria

Optimal Experimental Design and Spatial Statistics

Prithvijit Roy
Bridgei2i Analytics

Entrepreneur and Business Leader in AI and Data Science

Special Issue

We are happy to announce a Special Issue of the journal Applied Stochastic Models in Business and Industry (ASMBI), dedicated to the conference. This ASMBI special issue aims at publishing high quality contributions on the conference topics. Articles must present new methodology and/or insightful statistical analysis based on interesting data. Submissions are not restricted to papers presented at the conference, and anyone is welcome to submit manuscripts that are related to the conference topics.

All submissions will go through the standard, selective review process of ASMBI. Checkout the journal website: https://wiley.atyponrex.com/journal/ASMB

Submit a Paper for the Contributed Sessions

We invite submissions for contributed talks at ISBIS StatFin 2026.
Please submit your paper using the Google Form:

Submit your paper (Google Form)

All submissions will be reviewed by the Scientific Programme Committee (SPC). The SPC’s decision regarding acceptance and session allocation will be final.

Student Paper Competition

If you are a student and want your paper to be considered for the student paper competition, then ask your supervisor to send a mail at statfin@cmi.ac.in, with a particular mention that you were the primary contributor and author of the paper by August 30, 2026.

You must submit your paper by August 30, 2026, to be considered for the competition.

Invited Speakers

ID Name Affiliation Topic/Tentative Title
1 Dootika Vats IIT, Kanpur Bayesian Statistics
2 K G Arun CMI Bayesian Inference in Astro Physics
3 Ajit Mehta CMI Bayesian Inference in Astro Physics
4 Deborshee Sen Google, Bangalore Causal Inference in Marketing Analytics
5 Santosh Nair C5i/Analytic Edge Marketing Analytics
6 Sudhir Voleti ISB, Hyderabad Marketing Analytics
7 Dale Rosenthal Morgan Stanely/Parametric, Chicago Finance - Latent versus time series factor models and collinearity.
8 Sourav Majumdar IIT Kanpur Quantitative finance
9 Srinivas Pradeep Glencore, Netherlands
10 Nivedita Nadkarni National Law school, Bangalore Law, Statistics and Data Science
11 Bhargavi Zaveri The Profeseer Law, Statistics and Data Science
12 Shubvo Roy Shiv Nadar University Law, Statistics and Data Science
13 Dhiman Bhadra IIM Ahmedabad Copula based regression
14 Sudeep Bapat IIT Bombay
15 Santosh Sutar Shivaji Univ, Kolhapur
16 Asha Gopalakrishnan CUSAT
17 Raji Susan Mathew IISER, Thiruvananthapuram Statistical Image analysis
18 Areejit Samal IMSc, Chennai Financial time series
19 Sudheesh Kumar Kattumannil ISI, Chennai An alternative to Sharpe Ratio
20 Santosh Sutar Shivaji University, Kolhapur
21 Sitabhra Sinha IMSc, Chennai Quantifying systemic risk by inferring influence networks from financial market fluctuation cross-correlations
22 Moutushi Chatterjee ISI, Bangalore Application of statistical quality control techniques in air quality monitoring
23 Priyanka Majumdar IISER, Thiruvananthapuram Design of experiment issues in clinical trials,
24 Rakhi Singh IIT Madras Hyperparameter Optimization through Experimental Design
25 Shubho Bakar University of Sydney, Australia Health and medical sciences
26 Rohmatul Fajriya (Emma) UII (Indonesia)
27 Anirban Chakraborti JNU. Delhi Data Science of Sustainability and Climate Change.
28 Nova Ahmed North South University, Bangladesh Access to Fintech and Technology as a tool supporting Empowerment: based on Naila Kabwers theory
29 Suchitra Karunakaran AlgoLabs Automated Identification of Idols Using Image Analytics.
30 Tahir Ekin Texas State University, USA Fraud analytics and adversarial AI.
31 Smit Rohan NPCI Fraud-Aware Variational Autoencoders for Enhanced Latent Feature Augmentation in UPI Fraud Detection Systems.
32 N. Balakrishna IIT Tirupathi Time Series Analysis
33 Rahim Mahmoudvand Bu-Ali Sina University, Iran Time Series Analysis
34 T.V. Ramanathan Plaksha University Time Series Analysis
35 Suparna Biswas IISER Tirupati Risk modelling
36 Shyamal Ghosh IISER, Thiruvananthapuram Survival Analysis: A jackknife empirical likelihood ratio test for comparing two populations via harmonic mean residual life function.
37 Arjun Beri BNY Mellon, India Credit Risk Modelling.
38 Matilde Bini Universita Europea di Roma, Italy
39 Diganta Mukherjee ISI Kolkata Estimation problems in market microstructure.
40 Arshad Rahman IIT Kanpur Bayesian Econometrics
41 Rhythm Grover IIT Guwahati Robust parameter estimation of two-dimensional sinusoids.
42 Balaji Raman Cogitaas Statistics in Marketing
43 Ramasubramanian (Ramsu) Solus.ai
44 Bhargab Bhattacharya IIT Jodhpur Sequential Analysis, DoE
45 Eldho Varghese ICAR-Central Marine Fisheries Research Institute (CMFRI) AI applications in marine fisheries
46 Shyam D CMI Quantum Linear Algebra
47 Bijita Sharma CMI Quantum Machine Learning
48 Amiya Ranjan Bhowmik ICT, Mumbai Species Distribution Models for Predicting Invasive Alien Plant Species Dynamics in India: Insights from the ILORA Database
49 Pranabendu Mishra CMI Sequence Modelling using Deep Neural Networks
50 Alka Yadav University of Petroleum and Energy Studies (UPES), Dehradun Air Pollution Dynamics in Metropolitan Cities (India and other countries).
51 Parnil Mhatre Quantum four
52 Roshan Joseph Georgia Tech, USA
53 Amitabha Tripathi Aditya Birla Group
54 Shibasish Dasgupta TCG CREST, Kolkata
55 Ramseshan Ramchandran CMI Symbolic AI and Formal Methods in Natural Language Processing
55 Shashi Jain IISc Option overlay for tail risk optimization.
56 Ozan Turkey (yBIS) Medical AI applications
57 Rohmatul Fajriya (Ema) UII (Indonesia)
58 Sonali Das Univ of Pretoria, South Africa
59 Debanjan Mitra IIM Udaipur Reliability
60 Anindya Goswami IISER Pune Finance, Discrete Time Series
61 Durba Bhattacharya St Xavier's College Bayesian Statistics
62 Nalini Ravishanker UCONN Time Series Analysis
63 Ananya Lahiri IIT Titupati Signal Processing
64 Debasish Kundu IIT Kanpur Signal Processing
65 Koel Das IISER Kolkata
66 Sayantee Jana IIT Hyderabad.
67 Shyam CMI Quantum Computing
68 Amiya Ranjan Bhowmik ICT, Mumbai
69 Anuj Misra J&J State space model
70 Kiranmoy Das ISI, Kolkata Bayesian Modeling or Health Analytics or Psychometric modeling with Machine Learning.
71 Scott Holan Univ of Missouri Time Series
72 Rohan Chattre UConn Time Series
73 Himadri Mukherjee NPCI
74 Prakash Bade HSBC
75 Utkarsh Kumar BITS, Pilani Economics and Finance
76 Shouvik Datta Data Scientist, Google, BLR Data Science
77 Prithvinath Prabhunath Co-founder, Head of Tech, Solytics partners Bayesian Statistics, LLM
78 Soham Raste Quant Analyst, Wells Fargo LLM, Data Science
79 Abhishek Bansal Wells Fargo, HYD Quantitative finance
80 Yutheeka Gadhyan Goldman Sachs, BLR Model Risk
81 Adhi Narayanan Y R Data Scientist, BNY, Chennai
82 Saparya Suresh IIM Kozhikode
83 Vikas Chaudhary Zenspera
84 Abhishek Bhattacharya Pfizer
85 Vaidyanathan V.S Pondycherry Univ
86 Arnab Hazra IIT Kanpur
87 T N Sriram University of Georgia, USA Online Sequential Learning for Time Series
88 Manik Awale Sabitri Bai Phule Pune University Conditional Value at Risk
89 Arindam Chatterjee ISI Delhi Network Data


Venue Chennai Mathematical Institute
H1-Sipcot IT Park, Siruseri,
Kelambakkam, Chennai
Tamil Nadu - 603103