An Overview of Brain- Computer Interface (BCI)

As the corona virus continues to spread across the Bay Area and worldwide, local city officials have canceled and postponed several events. The County Public Health has recommended to postpone or cancelling mass gatherings and large community events in response to COVID-19.
Following local Public Health Officials advice, and for the health safety of seminar event attendees,  the Chinese Institute of Engineers 'Emerging Technologies' and 'Bio-medical Engineering' groups have decided to cancel next Wedn March 11, 2020 's seminar on "Brain Computer Interface", and postpone it for a later date.
Best Regards.


Date: March 11, 2020  (Wednesday) 7:00 - 9:00 pm (Registration starts at 6:30pm)

Venue: ITRI Int’l, 2870 Zanker Rd., Suite #140, San Jose, CA 

Talk Abstract:

Brain-Computer Interface may well be the next level of advanced man-machine interface after text and audio. brain-computer interface (BCI), is a direct communication pathway between an enhanced or wired brain and an external device. A brain-computer interface acquires signals from the brain, analyzes them and translates them into commands to peripheral devices to provide or execute the desired output.

Tech billionaire Elon Musk recently promised an “awesome’ brain-computer interface technology being built by his side startup Neuralink.

“The profound impact of high bandwidth, high precision neural interfaces is underappreciated. Neuralink may have this in a human as soon as this year” .

In this seminar Dr. Kao will present an overview of BCI, types of BCI (invasive, non-invasive and partially invasive), how it works, its benefits, application uses, current limitations, and the future of BCI.

Speaker Bio: Dr. William Kao received his BSEE, MSEE and PhD from the University of Illinois Urbana-Champaign. He worked in the Semiconductor and Electronic Design Automation industries for more than 30 years holding several senior and executive engineering management positions at Texas Instruments, Xerox Corporation, Cadence Design Systems.

Dr. Kao has authored more than 40 technical papers at IEEE Journals and Conferences, and holds eight software and IC design patents. He was an Adjunct Professor at UCLA Electrical Engineering Department where he taught courses in computer aided IC design.

Dr. Kao is a Senior Member of IEEE, and was one of the founding members of IEEE-Circuits and Systems - Silicon Valley Chapter in 2005.

Dr. Kao currently teaches Renewable Energy, Clean Technology courses at the University of California Santa Cruz, Silicon Valley Extension, and is a frequent lecturer on various Emerging Technologies including AI / Machine Learning, Big Data, Data Analytics, 5G, IoT, Smart Cities, Sensor Networks, Innovation, Augmented and Virtual Reality, Robotics, Clean Technology, Renewable Energy, and 3D Printing.

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