Data Science in Domains: Interaction of Physical, Social, and Institutional Systems
As we contemplate the preparation of the future data science learner, I want to highlight a core principle of IDSS and how it affected our decision to set up two of our flagship graduate education programs.

Building a resilient, carbon-neutral electric grid requires energy 'superhighways'
Today’s electric grid infrastructure is just not ready for the scale and speed of energy portfolio transformation being envisioned.

Making Data- Informed Covid-19 Testing Plans
Implementing testing within an organization raises a number of questions. Who should be tested? How often? How do other mitigation efforts impact testing need? How much will it all cost?

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Deterministic policy gradient algorithms for semi-Markov decision processes
Hosseinloo A.H., Dahleh M.A. Accepted for publication to the International Journal of Intelligent Systems, 2021. 

Nonstochastic Bandits with Infinitely Many Experts
Meng X., Sarkar T., Dahleh M.A Accepted for publication to the 60th IEEE Conference on Decision and Control, 2021. 

Causal Matrix Completion
Agarwal A., Dahleh M.A., Shah D., Shen D;  Submitted for publication, 2021. 

Eliciting Social Knowledge for Creditworthiness Assessment
York M., Dahleh M.A., Parkes D.C;  Submitted to WINE, 2021. 

Selling Information in Competitive Environments
Bonatti A., Dahleh M.A., Horel T., Nouripour A.; 2021. 

Towards Carbo-neutral Electricity and Mobility: Is the Grid Infrastructure Ready?
Xie Le, Singh Chanan, Mitter S.K, Dahleh M.A, Oren S.S; Vol 5, Issue 8, pp 1908-1913 Joule Journal, 18 August 2021.

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The Munther Dahleh Research Group works in the general area of “Decisions Under Uncertainty”.

The group addresses foundational issues in terms of fundamental limits and capabilities of real-time decision-making under uncertainty, societal challenges in specific domains such as finance, transportation, power grid and digital platforms, and translation challenges by working directly with stakeholders.

Meet the GroupSee Our Research Interests