This research develops a brain-inspired optical imaging system that mimics human vision to reconstruct objects hidden by fog, smoke, and biological tissue. Combining event-based cameras, spiking neural networks, and neuromorphic processors, it enables fast, energy-efficient imaging with applications in autonomous vehicles, emergency response, and non-invasive medical diagnostics.

This talk presents a new noninvasive MRI method to visualize the brain’s immune response. By imaging inflammation without injections or contrast agents, the research offers new insights into Alzheimer’s disease, ALS, and traumatic brain injury, helping researchers better understand how brain inflammation contributes to neurological disorders.

This research develops a theoretical framework for understanding electron–hole interactions in quantum dots, focusing on positive and negative trions. By analytically modeling their behavior under electric and magnetic fields, it bridges gaps between theory and experiment, supporting advances in quantum electronics, energy technologies, and targeted medical applications.