Week of Events
Dayton WIE/YP Quarterly Planning Lunch Meeting
Dayton WIE/YP Quarterly Planning Lunch Meeting
This is a 2022 planning meeting for the Dayton Women in Engineering/Young Professionals Affinity Group. Interested Dayton section WIE/YP members are welcome to attend. Please register for the event so we have a head count to save space. Come with your ideas for 2022 socials, STEM, and networking events and meet other WIE/YP members in your section! Lunch is on your own. Agenda: 11:30am Lunch at Rusty Taco Beavercreek 12:15pm Quarterly Meeting to discuss 2022 events Bldg: Rusty Taco Beavercreek, 2760 Towne Drive, Beavercreek, Ohio, United States, 45431, Virtual: https://events.vtools.ieee.org/m/314462
Teaching an Old Dog New Tricks: Data Driven Signal Processing
Teaching an Old Dog New Tricks: Data Driven Signal Processing
Recent abundance of big data, and the emergence of machine learning techniques are giving rise to new data-driven approaches to old signal processing problems. I will discuss some of these techniques, and their applications to classical problems in signal processing such as hypothesis testing, detection, etc. We then discuss our joint work with AFRL on data driven STAP radar as an example, and discuss the gains of the data driven approach and our ongoing research efforts. This a based on joint work with Shyam Venkatasubramanian, Ali Pezeshki, Muralidhar Rangaswamy, Sandeep Gogineni, and Bosung Kang. Ways to join: Join from the webinar link https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m215e793e7299165d876da190007983db Speaker(s): Dr. Vahid Tarokh, Virtual: https://events.vtools.ieee.org/m/316951
Teaching an Old Dog New Tricks: Data Driven Signal Processing
Teaching an Old Dog New Tricks: Data Driven Signal Processing
Recent abundance of big data, and the emergence of machine learning techniques are giving rise to new data-driven approaches to old signal processing problems. I will discuss some of these techniques, and their applications to classical problems in signal processing such as hypothesis testing, detection, etc. We then discuss our joint work with AFRL on data driven STAP radar as an example, and discuss the gains of the data driven approach and our ongoing research efforts. This a based on joint work with Shyam Venkatasubramanian, Ali Pezeshki, Muralidhar Rangaswamy, Sandeep Gogineni, and Bosung Kang. Ways to join: Join from the webinar link https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m215e793e7299165d876da190007983db Speaker(s): Dr. Vahid Tarokh, Virtual: https://events.vtools.ieee.org/m/316951