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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 Signals & Imaging Research Areas Signals & Imaging Related links Applied PhysicsSystems ScienceDevices & Circuits Current research in this area emphasizes both theory and application. Topics include: model based digital and analog signal and image processing stochastic process theory, modeling, and applications shape theory, modeling, and applications; communication and information theory coding theory bandwidth and energy efficient modulation schemes multiaccess communications estimation and decision theory radar and infrared systems and their use in imaging and automatic target recognition low light level optical imaging restoration of optical images degraded by aberrations and atmospheric turbulence tomographic imaging; ultrasonic imaging and tissue characterization anatomical mapping; statistical signal processing for sensor arrays computational linguistics Radio frequency sensing Wireless networking Radio localization and time synchronization Exploring Signals & Imaging: Bridging theory and practice in cutting-edge research Meet the Faculty Ulugbek Kamilov Associate ProfessorCombines computational imaging, optimization, and machine learning to enable new intelligent imaging technology Joseph O'Sullivan ProfessorDiscovers ways to improve CT imaging & optical imaging Neal Patwari ProfessorInvestigates estimation, detection, and classification algorithms on signals from networks Bruno Sinopoli Chair and ProfessorDesigns safe and secure networked embedded control systems Senior & Emeritus Professors Martin Arthur Emeritus ProfessorCollaborates with cardiologists at the School of Medicine to identify repeat heart attack risk Arye Nehorai ProfessorDevelops models, statistical signal processing and machine learning for data analysis Affiliate Faculty Hongyu An Novel pathophysiology imaging methods to improve clinical diagnosis and patient management Joseph Culver Functional- and molecular- biological imaging for non-invasive optical measurements Adam Eggebrecht Novel brain function hardware, analysis pipelines and algorithms Tom Franken Studing how brain circuits organize incoming sensory information into meaningful collections of objects and background Song Hu Advances theranostics through the development of novel optical and photoacoustic technologies Nathan Jacobs Develops learning-based computer vision algorithms, with a focus on geospatial and medical applications Abhinav Jha Develops computational-imaging methods for diagnosing and treating diseases Ilya Monosov Interested in the neuronal basis of voluntary behavior Barani Raman His lab's electronic nose technology has applications for homeland security Netanel Raviv Develops mathematical tools for computation, privacy and machine learning Aris Sotiras Medical image analysis, machine learning, computational neuroscience Yuan-Chuan Tai Researches novel molecular imaging systems, compact PET/ultrasound imaging and more Gaia Tavoni Develops theories and models to understand how information is represented and processed in neuronal networks Yong Wang Developing the novel hybrid imaging system to study preterm and normal term labor Tiezhi Zhang Developing novel x-ray imaging technologies for image-guided radiotherapy Chao Zhou Develops novel optical imaging technologies for biomedical applications Quing Zhu Advances cancer detection, diagnosis and treatment prediction and monitoring ESE News ESE news in Signals & Imaging View all news When WiFi is weak, send noise instead Recognizing wireless noise can be key to sending information, researchers find. 10.22.2019 Building a better microscope Using computations, machine learning and signal processing, Ulugbek Kamilov plans to lay the groundwork for a better microscope. 06.22.2018 Estimating electrical current from uterus muscle may provide clues to preterm birth New research by Arye Nehorai and collaborators could have clinical applications in better understanding pre- and post-term birth. 09.26.2018 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. 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