On -Demand Webinar: Leveraging Edge AI in Video Analytics and Streaming for Medical Applications

Scott Matics is a Senior Product Manager with AJA Video Systems in Grass Valley California, overseeing the company’s line of Desktop and OEM I/O solutions including KONA and Corvid PCIe cards and IO Thunderbolt products.

Scott has been managing products in the broadcast, medical and video industries for more than 25 years, working with streaming media, broadcast automation, robotic camera automation, and with other cutting-edge technologies for content acquisition, management and distribution.

Jeff Durst is a Senior Product Manager, Healthcare, Life Sciences & Industrial at Dedicated Computing. He joined the company in 2011. Durst is responsible for ensuring that the product roadmap aligns with the company’s vision, as well as the conversion of customer requirements into the architecture and design of the solutions for his responsible markets. He brings more than 30 years of technical and business leadership experience within several embedded computing markets, including healthcare, communications, military, aerospace, industrial and scientific computing.

Prior to joining Dedicated Computing, Durst performed various systems engineering and board-level development, project and product management as well as solution architecting activities for Emerson Network Power (formerly Artesyn Technologies). He also directed a product roadmap team as part of its embedded computing product strategy. Durst is a graduate of Herzing University where he earned an MBA with a concentration in technology management. He also holds a BS degree in technology management and an AS degree in electronics engineering technology.

Arlyne Simon, PhD is a leading AI Systems Architect in Intel ‘s Health and Life Science group. In this role, she leads a multidisciplinary team dedicated to advancing edge computing devices for next-generation ultrasound systems and state-of-the-art digital operating rooms. Arlyne’s expertise lies in computing hardware, with a deep knowledge of Intel’s AI acceleration technologies, including the CPU, GPU, and the cutting-edge, built-in neural processing unit (NPU).

Arlyne has more than 13 years of experience in medical device design, high-performance computing, and healthcare AI applications. Her contributions have earned her national recognition from prestigious organizations such as the United States Patent and Trademark Office, the Society of Women Engineers, Georgia Tech’s 40 Under 40, and the American Association for the Advancement of Science. She holds a B.Sc. in chemical and biomolecular engineering from Georgia Tech and a PhD in macromolecular science and engineering from the University of Michigan.

Dr. Chonghe Wang is the CTO and Co-Founder of Sonologi and an accomplished innovator and researcher with a distinguished academic and professional background. He holds an M.S. in Nano Engineering from UC San Diego and a Ph.D. in Mechanical Engineering from MIT. Dr. Wang is the author of multiple groundbreaking publications in prestigious journals such as Nature and Science and holds three U.S. patents, reflecting his pioneering contributions to the field.

Recognized as a leader in innovation, Dr. Wang was named to Forbes 30 Under 30 in 2022 and inducted into the National Inventors Hall of Fame in 2023. His exceptional research has earned him accolades, including the Baxter Young Investigator Award (2019) and the Clarivate Highly Cited Award. Through his visionary work at Sonologi, Dr. Wang continues to push the boundaries of technology and innovation.