The present chapter under CARAMS, MAHE, is dedicated to fostering excellence in statistical science, operations research, and data-driven decision-making. It provides an academic platform to integrate theory with real-world applications, supporting research, teaching, and collaborative problem-solving.
Motivation
In an era dominated by uncertainty, complex systems, and data-intensive environments, there is an ever-growing need for advanced analytical tools to guide informed decision-making. This chapter is motivated by the need of developing and disseminating robust statistical and optimization methodologies that can address contemporary challenges across disciplines.
Objectives
- To promote high-quality research in statistical modeling, optimization, and analytics.
- To build capacity in quantitative reasoning and data literacy among researchers and students.
- To encourage interdisciplinary collaboration in the areas such as healthcare, public policy, engineering, and business.
- To bridge theoretical research with practical applications through academic and industry partnerships.
Focus Areas
- Probability, Statistical Inference, and Operations Research
- Game Theory, Decision Science, and Risk Analysis
- Network Optimization, Transportation, Scheduling, and Project Management
- Supply Chain Management and Analytics
- Regression Analysis and Multivariate Techniques
- Stochastic Modeling, Simulation, and Queueing Theory
- Linear, Non-linear, and Integer Programming
- Reliability and Survival Analysis
- Time Series Forecasting
- Big Data and Business Analytics
- Machine Learning, Artificial Intelligence, and their applications
Key Activities
- Thematic workshops and hands-on training programs on statistical software and optimization tools.
- Research seminars by national and international experts in statistics and operations research.
- Faculty-led research initiatives in healthcare analytics, supply chain modeling, and predictive analytics.
- Active engagement in organizing academic conferences, technical workshops, and training programs that foster knowledge exchange in operations research and statistical sciences.
Events under the Statistics and Operations Research Chapter
- Jun 2025 – International Conference on Operations Research and Decision Science (ICORDS 2025) in honor of Prof. T.E.S. Raghavan.
- Dec 2024 – National Workshop on Algorithmic Combinatorial Game Theory
- Sep 2024 – Applied Linear Algebra, Probability, and Statistics Symposium
- Dec 2023 – Introductory Applied Game Theory (Gurukulam Workshop)
- Dec 2021 – International Workshop on Algorithms for Cooperative TU Games using Matrices and Graphs
- Dec 2021 – Twenty-Eighth International Workshop on Matrices and Statistics
- Jan 2020 – National Workshop on Special Matrices and Stochastic Games (WSMSG 2020)
- Jun 2019 – International Conference on Business Analytics and Operations Research
- Dec 2018 – National Workshop on Matrix Analysis and Game Theory