Selvaprabu Nadarajah
Associate Professor
Research Interests
My research develops computational and AI methods for decision-making in large-scale energy and computing systems. On the energy side, this includes planning and operating the power grid as it integrates more renewables, corporate renewable energy procurement, and the growing interactions between energy, water, and data-center computing. Methodologically, I work on approximate dynamic programming and Markov decision processes (MDPs), optimization, and machine learning, as well as on how large language models (LLMs) can support decision-making and extract insights from corporate and policy documents (for example, sustainability and biodiversity disclosures). I lead the IDIATER research group and collaborate closely with Argonne National Laboratory.
At a Glance
- Title Associate Professor
- College College of Business Administration
- Department Department of Information and Decision Sciences
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