M. Umar B. Niazi
M. Umar B. Niazi
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Postdoctoral Researcher
Postdoctoral Researcher
Laboratory for Information and Decision Systems
Office: 32-D566
77 Massachusetts Avenue, Cambridge, MA 02139, USA
Email: niazi [at] mit [dot] edu
Division of Decision and Control Systems
Office: B:708
Malvinas väg 10, SE-100 44 Stockholm, Sweden
Email: mubniazi [at] kth [dot] edu
About
About
I am a postdoctoral researcher at MIT, advised by Munther Dahleh, and at KTH Royal Institute of Technology, advised by Karl H. Johansson. I received my Ph.D. in automatic control engineering from Université Grenoble Alpes (France), under the supervision of Carlos Canudas-de-Wit.
I am supported by the Marie-Curie postdoctoral fellowship from Sep 2022 to Aug 2025.
I serve as the finance chair of NextCom, a committee supported by the IEEE Control Systems Society. Read our introductory article in IEEE Control Systems Magazine: Empowering the Next Generation of CSS Leaders: From NextCom to ExCom.
I will join NYU Abu Dhabi as an Assistant Professor in the Electrical Engineering Department from September 2025.
For detailed bio, click here.
Recent Preprints
Recent Preprints
A. Raghavan, M. U. B. Niazi, and K. H. Johansson: Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
Z. Zhang, M. U. B. Niazi, M. S. Chong, K. H. Johansson, and A. Alanwar: Data-Driven Nonconvex Reachability Analysis using Exact Multiplication
V. de Heij, M. U. B. Niazi, K. H. Johansson, and S. Ahmed: Distributed Prescribed-Time Observer for Nonlinear Systems in Block-Triangular Form
M. U. B. Niazi, J. Cao, M. Barreau, and K. H. Johansson: KKL observer synthesis for nonlinear systems via physics-informed learning
M. U. B. Niazi, J.-H. Cho, M. A. Dahleh, R. Dong, and C. Wu: Eco-driving incentive mechanisms for mitigating emissions in urban transportation
For a complete list of publications, click here.
Research Interests
Research Interests
My research focuses on the security, resilience, and optimization of socio-cyber-physical systems, particularly in intelligent transportation and urban mobility. I develop robust frameworks for secure monitoring and control against cyberattacks, and design dynamic incentive mechanisms to align strategic agent behaviors with system-level objectives. My work integrates control theory, game theory, and machine learning to enhance the reliability and security of critical infrastructure systems.
For more details, visit my research page by clicking here.
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