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complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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, Lyapunov stability, and safety for human-robot collaboration. Advanced Manipulation and Navigation: Enabling robots to handle complex, dynamic environments, including those involving deformable objects and
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complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will
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articulation of instruments. These factors affect precision, efficiency, and the ability to perform complex procedures. Traditional laparoscopic tools often lack tactile sensing mechanisms, are rigid, and have
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a single one-on-one co-culture to complex microbiome interactions. Results from culturing and chemostat settings will be used for modeling the microbial loop. Excellent communication skills in English
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to develop novel enabling technology on hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation