Event Date
Event Date
Advanced imaging technologies are undergoing a transformation through the integration of artificial intelligence and nanophotonics. By leveraging compact arrays of specialized photosensors embedded with innovative nanostructures, the size of imaging systems can be significantly reduced while improving their speed, sensitivity, and overall performance. These nanoscale structures can trap, manipulate, and slow down photons—enabling multidimensional imaging that captures spectral content, ultrafast temporal events, and fine spatial features in real time. We will demonstrate how combining AI algorithms with nanophotonic components on a CMOS-compatible platform leads to powerful, miniaturized imaging and spectroscopic systems. This approach opens new possibilities for impactful applications across healthcare, agriculture, security, communication, and more.
Presenter
Univ. of California, Davis (United States)
M. Saif Islam received his B.Sc. Degree in Physics from Middle East Technical University, an M.S. in Physics from Bilkent University, and a Ph.D. in Electrical Engineering from UCLA in 2001. He worked for JDS Uniphase Corp and HP Labs before joining the University of California- Davis in 2004, where he is a Professor and the Chair of the Electrical and Computer Engineering Department. His research focuses on integrating low-dimensional and nanostructured materials into conventional semiconductor integrated circuits and systems for applications in ultrafast optoelectronics, communication, quantum sensing, AI-enabled imaging, and energy harvesting. Dr. Islam authored or co-authored more than 300 scientific papers, organized 38 conferences as a chair/co-chair, and holds 43 patents as an inventor/co-inventor. Prof. Islam received SPIE’s Aden and Marjorie Meinel Technology Achievement Award and is a Fellow of the IEEE, AAAS, Optica, SPIE, and National Academy of Inventors (NAI).