Vedhus Hoskere's current research interests are highly interdisciplinary, at the intersection of civil engineering, computer science and robotics. His doctoral work at the University of Illinois with Billie F. Spencer Jr. focused on developing artificial intelligence, machine learning and computer vision solutions for rapid and automated civil infrastructure inspection and monitoring. For his research toward automated post-earthquake building inspections, Hoskere received the Liu Huixian Earthquake Engineering Scholarship in 2018. 

Reverse engineering the brain, Rehabilitation robotics, Brain-Machine Interface, Neuroprosthetics and wearable exoskeletons, Regulatory Science of Biomedical Devices, Neuroaesthetics, Big NeuroData, Arts in Medicine, Reverse Engineering the Brain.

Dr. Pavlidis‚ current research interests involve computational medicine, where he is charting new territory. He developed a series of methods to compute vital signs of subjects in an automated, contact-free, and passive manner. Dr. Pavlidis originated multiple patents and is considered one of the founders of modern lie detection technology. His research is cited extensively in scientific literature and receives significant coverage from international media outlets, including CNN, the Discovery Channel, Reuters, Time magazine, and the L.A. Times. Dr. Pavlidis is a Fulbright Fellow, a senior member of IEEE, and a member of the ACM. He also serves as associate editor for the journal Pattern Analysis and Applications and has chaired numerous major IEEE conferences.

Broadly speaking, our lab solves problems by using many robots.  Our ‘robots’ range from complex modern humanoid robots to extremely simple particles steered by broadcast signals such as the magnetic field of an MRI scanner or a gravitational field.