The Decision Sciences area carries out research, teaching, and consulting activities in theoretical and applied statistics, optimization theory, business analytics, machine learning, artificial intelligence, big data methodologies, and related applications to management problems. Faculty in the Decision Sciences area work closely with both industry and government sectors and conduct theoretical and applied research across the entire decision sciences spectrum.
Research Overview
Using real-world scenarios arising from business, government and societal challenges, Professor Jitamitra Desai emphasizes the relevance and role of path-breaking research in Decision Sciences in a data-driven world.
Research Spotlight
Ever thought about how our world dances through time and space? Well, my research is all about understanding this rhythm, especially when it comes to house prices. In real estate, the potential of spatio-temporal models remains largely untapped. In my thesis, I explore the fascinating world of house prices using these models. I focus on two vibrant locations, Bangalore and Greater London. Here is the twist – I am not just looking at one observation at a location and time. I am considering multiple observations simultaneously, breaking away from the norm.
I am Antra. Given the growing population and the increasing health risk among people of all ages, an efficient healthcare delivery system is the need of the hour. In my thesis, I look at three different problems in the healthcare sector and try to come up with data-driven models for the efficient working of healthcare systems
My thesis uses statistical models to solve three problems linked to climate change and epidemiology. My work sheds light on the impact of global warming on other weather event
|
Student |
Dissertation Title |
Year |
| Akshita Srivastava | Essays on Warranty Claims | 2023 |
| Anchal Soni | Methods of Analyzing Structural Breaks in Multivariate Time Series: Applications to Financial Data | 2023 |
| Aishvarya | Essays on Evaluation of Skill Dominance, Game Design and Online Community of Daily Fantasy Sports | 2023 |
|
Giriraj |
Time Series Clustering, Testing of Memory in Time Series and Quantifying Dependence in Volatility of Financial Time Series Using Complex Network Theory |
2022 |
|
Pranjal Chandrakar |
Evaluation of Policies to Auction, Retain and Value Players Services in IPL and other Sports Tournaments |
2021 |
|
Nandini Seth |
Essays on Next Best Action in Digital Marketing Using Reinforcement Learning |
2021 |
|
Saparya Suresh |
Some New Stochastic Processes with Applications in Finance and other Areas |
2020 |
|
Anupama Lakshmanan |
Forecasting Time Series with Multiple Levels of Seasonality |
2020 |
|
Tapan Kar |
On the More Powerful Unit Root Test |
2019 |
|
Ravi Prakash Ranjan |
Essays on Models using Google Search Trends |
2019 |
|
Student |
Dissertation Title |
| Kapil Gupta | Analyzing House Price Dynamics Using Novel Spatio-Temporal Methods |
|
Antra |
Essays on Healthcare Analytics |
|
Md Shahrukh Anjum |
Improving the Solvability of Combinatorial Optimization Problems |
|
Siddharth Rawat |
Spatio -Temporal Models in Epidemiology and Climate Change |
| No. | Course Name |
| 1 | Probability Theory |
| 2 | Mathematical Methods for Management Research |
| 3 | Linear programming and Networks |
| 4 | Nonlinear Programming |
| 5 | Statistical Inference |
| 6 | Multivariate Statistics |
| 7 | Dynamic Programming |
| 8 | Advanced Statistical Methods and Computing |
| 9 | Integer Programming and Combinatorial Optimization |
| 10 | Stochastic Models |
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