UCAAMP hosts lunch focused on innovation
Join UCAAMP for lunch and an innovation panel featuring faculty from the College of Engineering and Applied Science
Event Information (passed)
Join UCAAMP for lunch and an innovation panel featuring faculty from the University of Cincinnati College of Engineering and Applied Science. The panel will include topics on UC innovations in the area of Intelligent Robotics, UAV (unmanned aerial vehicle) research, additive manufacturing, and AI (artificial intelligence) developments. Each presenter will include a brief presentation of their work followed by questions.
Panel Participants:
- Dr. Teri Reed, Executive Director of CEAS
- Dr. Ashley E. Paz y Puente, additive manufacturing
- Dr. Rashmi Jha, neuromorphic “Systems on a Chip” for artificial intelligence and cybersecurity
- Dr. Kelly Cohen, artificial intelligence
- Dr. Marc Cahay, micro- and nano- scale artificial neural networks
- Dr. Manish Kumar, unmanned aerial vehicles
- Dr. Ou Ma, intelligent robotics
Menu:
- Chicken or beef taco salad with assorted toppings
- Mexican rice
- Refried beans
- Cinnamon churros
Tags
Related Stories
Sugar overload killing hearts
November 10, 2025
Two in five people will be told they have diabetes during their lifetime. And people who have diabetes are twice as likely to develop heart disease. One of the deadliest dangers? Diabetic cardiomyopathy. But groundbreaking University of Cincinnati research hopes to stop and even reverse the damage before it’s too late.
Is going nuclear the solution to Ohio’s energy costs?
November 10, 2025
The Ohio Capital Journal recently reported that as energy prices continue to climb, economists are weighing the benefits of going nuclear to curb costs. The publication dove into a Scioto Analysis survey of 18 economists to weigh the pros and cons of nuclear energy. One economist featured was Iryna Topolyan, PhD, professor of economics at the Carl H. Lindner College of Business.
App turns smartwatch into detector of structural heart disease
November 10, 2025
An app that uses an AI model to read a single-lead ECG from a smartwatch can detect structural heart disease, researchers reported at the 2025 Scientific Sessions of the American Heart Association. Although the technology requires further validation, researchers said it could help improve the identification of patients with heart failure, valvular conditions and left ventricular hypertrophy before they become symptomatic, which could improve the prognosis for people with these conditions.