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Skip to content Information for: Engineering resources Prospective Students Current Students Faculty & Staff Alumni Industry Apply Now! It's easy to start your application. Undergraduate Admissions Graduate Admissions Dual Degree Program Graduate applicants: Attend an info session and skip the application fee McKelvey School of Engineering •The Preston M. Green Department of Electrical & Systems Engineering Academics Academics The world needs difference-makers. 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Faculty Directory Faculty Openings Research Areas Applied Physics Devices & Circuits Signals & Imaging Systems Science Faculty & Research Main Menu News & Events Featured News NSF invests in semiconductor research in McKelvey School of Engineering Sang-Hoon Bae and Mark Lawrence received a total of $3.8 million for collaborative research projects on the future of semiconductor design and manufacturing 11.02.2023 --> News & Events Get involved and stay informed. Upcoming Events Latest News Academic Calendar Departmental Seminars Main Menu About Us About Us We're here to create a positive impact in the world. About Us About the chair Advisory Boards Alumni Equity, Diversity & Inclusion Leadership Media Staff Main Menu Don't know where to start? Prospective Students Current Students Faculty & Staff Alumni Industry Start your application today Undergraduate Admissions Graduate Admissions Dual Degree Program Graduate applicants: Attend an info session and skip the application fee Search Trending Searches graduate admissions academic programs financial aid academic calendar maps & directions summer school Home Faculty & Research Research Areas Systems Science Research Areas Systems Science Related links Applied PhysicsSignals & ImagingDevices & Circuits Systems engineers design, develop, manage and optimize complex systems including: electrical systems information systems biological systems quantum systems economic models financial systems environmental systems telecommunication networks transportation networks project management aerospace systems Systems engineering is the field of specialization within engineering that uses advanced mathematical methods to model physical systems, and to develop techniques for system optimization and control. Systems engineers are experts at analyzing complex systems and effectively coordinating their many different components. Meet the Faculty Xudong Chen Develops revolutionary methods for analysis and control of large-scale multi-agent systems ShiNung Ching Lead author of a textbook, Quasilinear Contro Andrew Clark Focused on control and security of networked and cyberphysical systems Ioannis (Yiannis) Kantaros Designs safe and distributed autonomy algorithms for large-scale multi-robot systems Jr-Shin Li Studies complex large-scale systems arising from emerging physical, biological and medical applications Bruno Sinopoli Designs safe and secure networked embedded control systems Shen Zeng Develops data-integrated computational approaches for controlling complex dynamic systems Affiliate Faculty Geoffrey Goodhill Strives to understand computational priciples that underly brain development Ilya Monosov Interested in the neuronal basis of voluntary behavior Gaia Tavoni Develops theories and models to understand how information is represented and processed in neuronal networks Yevgeniy (Eugene) Vorobeychik Uses techniques from game theory and optimization to create trustworthy AI systems ShiNung Ching Lab - Electrical & Systems Engineering The Lab of ShiNung Ching is at the intersection of engineering, science, and medicine with applications of mathematical and engineering principles to unravel the complexities of the human brain. In collaboration with the Washington University School of Medicine, the group analyzes EEGs from pediatric patients, aiming to understand brain dynamics and develop a pattern-detection pipeline for improved interventions. Their focus extends to investigating how early sensory networks process peripheral stimuli information for higher-level brain functions, emphasizing formal mathematical descriptions and training recurrent neural networks to comprehend cognitive tasks and reverse engineer their performance for deeper insights into brain computation. ESE News ESE news in Systems Science View all news Break it down: A new way to address common computing problem A computational framework for solving linear inverse problems takes a parallel computing approach. 08.04.2020 Finding first principles last: A new control methodology New data- and computationally-driven approach to systems engineering may shed light on fundamental biological principles. 09.17.2019 Where’s my car? WashU researchers to study short-term working memory ShiNung Ching and Larry Snyder at the School of Medicine plan to study how the brain allocates resources for working memory with funding from the NIH's BRAIN Initiative. 09.25.2019 Facebook Twitter LinkedIn Instagram YouTube Engineering Departments Biomedical Engineering Computer Science & Engineering Division of Engineering Education Electrical & Systems Engineering Energy, Environmental & Chemical Engineering Mechanical Engineering & Materials Science Sever Institute - professional degrees Technology & Leadership Center - training for industry Contact Us Washington University in St. Louis McKelvey School of Engineering MSC: 1042‐207‐1101 1 Brookings Drive St. Louis, MO 63130-4899 Phone: 314-935-5565 Contact Us Resources COVID-19 Resources Canvas Directory Equity, Diversity & Inclusion Emergency Management Engineering IT Maps & Directions Make a Gift WebFAC / WebSTAC ©2024 Washington University in St. Louis. Policies