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The development of new neural technologies will revolutionize our understanding of the brain function enabling us to mitigate nervous system disorders and also advance brain-machine interface (BMIs). We will witness major changes in our life when BMIs enable us to connect with different gadgets directly with the power of our brain. In this talk, I will introduce the needs and opportunities to make next generation neural interfaces. I will discuss ongoing research in my lab on developing hybrid implantable optrodes (optical-electrical probes) in a hybrid polymer-silicon platform for neural recording and simulation. Benefiting from the best of both stiff and polymer material properties, hybrid neural probes will be easy to implant and are also orders of magnitude more compliant than the state of the art, exerting minimal tissue damage and tethering forces. I will also introduce a novel parylene-in-parylene (PiP) photonics platform that can be monolithically integrated with our probes for high-resolution optogenetic stimulation in surface cortical electrodes ECoGs. I will also discuss the outlook of future brain interfaces.

سخنران: دکتر میثم چمنزار

(استادیار دانشکده برق و کامپیوتر دانشگاه کارنگی ملون – از اساتید مدعو دانشگاه برکلی)

Dr. Chamanzar is currently an assistant professor of ECE at Carnegie Mellon University. He is also an adjunct assistant research faculty at UC Berkeley. He was postdoc researcher at UC Berkeley before joining CMU. He received his Ph.D. in Electrical and Computer Engineering from Georgia Tech in 2012. His dissertation on developing novel hybrid plasmonic-photonic on-chip biochemical sensors received the Sigma Xi best Ph.D. thesis award.  Maysam has published more than 25 peer-reviewed journal and conference papers and he holds three pending patents. He is the recipient of a number of awards including the SPIE research excellence award and GTRIC innovation award, and became the finalist for the OSA Emil Wolf best paper award and Edison innovation award. His current research is on developing novel electro-acousto-optic neural interfaces for large-scale high-resolution electrophysiology and distributed optogenetic stimulation of brain.

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