Archives

Congratulations! Naira named NAI Senior Member!

MechSE Professor Naira Hovakimyan’s success in patents, licensing, and commercialization has earned entry into the 2023 class of Senior Members of the National Academy of Inventors (NAI). Hovakimyan was recognized for producing “technologies that have brought, or aspire to bring, real impact on the welfare of society” and for her contributions to the innovation ecosystem at […]

Read More

TEDx Talks: The hidden cost of resistance to innovation in science

Professor Naira Hovakimyan was recently hosted by TEDxYerevan that was using the hashtag #OnceUponAScience, where she spoke about the hidden cost of resistance to innovation. Watch her very inspiring talk at: https://www.youtube.com/watch?v=gFriUA9vWYI. You could view the PDF file of the talk at the following link at https://uofi.box.com/s/7xtmlwcgllmqi46em732w562iefdwrax.  

Read More

We are selected as one of the four winners of NASA’s 5th round of the University Leadership Initiative competition!

We are excited to learn that NASA selected our proposal, “Robust Resilient Autonomy for Advanced Air Mobility” for their 5th round of ULI funding: https://www.nasa.gov/press-release/nasa-selects-four-university-teams-for-aviation-projects/. We have partnered with Chuchu Fan from MIT, Evangelos Theodorou from GaTech, Petros Voulgaris and Christos Papachristos from UNR, and Ali Karimoddini and Ioannis Raptis from NCAT, along with collaborators […]

Read More

NSF-AoF Award Granted: Safe Reinforcement Learning in Non-Stationary Environments With Fast Adaptation and Disturbance Prediction

Congratulations! We start a new NSF-AoF collaborative research project: Safe Reinforcement Learning in Non-Stationary Environments With Fast Adaptation and Disturbance Prediction. This project aims to develop a framework to enable safe and efficient reinforcement learning for robot control in non-stationary environments, leveraging control theoretical tools for fast adaptation and perception-based disturbance prediction. Finnish Partners: Reza […]

Read More

Congratulations! Arun and Gabriel had successful final defenses for their Ph.D.!

Congratulations to Arun and Gabriel! They defended their Ph.D. final exams successfully! Here are the final defense recordings. Safe Planning and Control for Uncertain Nonlinear Systems via L1-Adaptive Control and Contraction Analysis Arun Lakshmanan The link to the video is https://uofi.box.com/s/zlsgmiykberl65bmnte0fmcbcz6sqt8y.   Efficient Risk-Averse Algorithms for Air-Ground Payload Transfers Gabriel Barsi Haberfeld The link to […]

Read More