Date: April 21, 2021 (Wednesday) 6:00 - 7:30 pm
The US infrastructure is old (built in the 1950’s) and crumbling, whether it's bridges that are falling down, or roads that are filled with potholes and under permanent repair. Most recently (in March 2021) we saw serious power and water line issues affecting the whole state of Texas.
In June of 2020 the Democratic-controlled House approved a $1.5 trillion plan to rebuild the nation’s crumbling infrastructure, to fix roads and bridges, upgrade transit systems, expand interstate railways and dredge harbors, ports and channels. This will create millions of jobs towards economic recovery from the devastating Covid-19 pandemic.
In this webinar Dr. Kao will present what is critical infrastructure, the various types of infrastructure; then discuss the current state of the US infrastructure, and finally discuss a move towards a future ‘Smart Infrastructure’ .
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 on IC CAD 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.
Dr. Kao currently teaches Clean Technology and Emerging Technology courses at the University of California Santa Cruz, Silicon Valley Extension.
He has given more than 90 seminars in the last ten years on various Emerging Technologies topics including Clean Technology, Renewable Energy, Big Data, IoT, Smart Cities, Sensor Networks, Innovation, Augmented and Virtual Reality, Robotics, AI / Machine Learning, 5G, Satellite Communications and 3D Printing.
Dr. Kao is a Technology Watcher, Learner and Teacher.
AAEOY Speaker Series
AAEOY (Asian American Engineer of the Year) is an annual recognition event on the national platform to honor the most distinguished Asian American professionals with their leadership, technical achievements and remarkable public services.
AAEOY was first introduced in 2002, with a total 304 awardees to date. The awardees have served as role models and sources of inspiration for the STEM community. Past awardees included Nobel Laureates, academic scholars, key corporate executives, and an astronaut!
AAEOY 2020 was delayed by the Covid 19. The AAEOY committee decided to invite past awardees to share their technical knowledge and experience in the AAEOY Speaker Series at this challenging moment till the award ceremony can take place!
Speaker: Jianying Hu, Ph.D. IBM Fellow; Global Science Leader, AI for Healthcare.
- Presentation: Define and Drive AI science leadership - Computational Methods for Next Generation Healthcare
- Interview: Career Journey - A Female Leader in STEM Fields
Date And Time
Sat, May 15, 2021
1:30 PM – 3:00 PM PDT
Next-generation healthcare will be driven by prevention and treatment strategies that take individual variability into consideration. Much of this variability is captured in the large amount of data of different types: clinical encounters, lab results, diagnostics, medications, genomics, physiological, lifestyle, social behavioral, etc. Speaker will discuss these methodologies, use cases, lessons learned and important future directions.
About the Speaker
Dr. Jianying Hu is an IBM Fellow and Global Science Leader, AI for Healthcare at IBM Research. She is also IEEE Fellow, IAHSI Fellow, and IAPR Fellow. She is responsible for working across IBM Research global labs to define and drive an AI science leadership strategy for healthcare at IBM. Dr. Hu also leads the Center for Computational Health at IBM Research, located in New York and Cambridge. The center consists of a multidisciplinary team of over 30 Ph.D. and MD researchers working on applying data science to Healthcare. It conducts scientific research and technical innovations in the broad areas of data driven healthcare analytics, with focuses on predictive analytics, disease modeling, real world evidence generation, translational informatics, connected health and computational health behavior.
Dr. Hu has published over 120 peer reviewed scientific papers and holds 31 patents. She chaired the American Medical Informatics Association (AMIA) Knowledge Discovery and Data Mining Working Group from 2014 to 2016. She is a fellow of IEEE (elected in 2015), a fellow of the International Association of Pattern Recognition (elected in 2010), and a recipient of the Asian American Engineer of the Year Award (2013).