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This is an online seminar. Registration is required.
Everyone is welcome to join.
Date and Time: November 1st 2:00 pm - 3:30 pm (JST)
Venue: Zoom webinar
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Language: English
Speakers:
Prof. Xiaopeng Zhao, Department of Mechanical, Aerospace, and Biomedical
Dr. Mihoko Otake-Matsuura, Center for Advanced Intelligence Project (AIP), RIKEN
14:00-15:00 Talk by Prof. Xiaopeng Zhao
15:00-15:30 Dialogue by Prof. Xiaopeng Zhao and Dr. Mihoko Otake-Matsuura
Speaker: Prof. Xiaopeng Zhao, Department of Mechanical, Aerospace, and Biomedical
Title: Communicative Artificial Intelligence and Robotics for Persons with Alzheimer’s Disease and Related Dementias
Abstract:
About 10 million new cases of dementia are reported each year around the world. The dementia healthcare industry is facing a growing shortage of caretakers amidst this growing number of people that need help. We aim to develop Communicative Artificial Intelligence and Robotics (CAIR) technologies to improve the lives of Persons with Alzheimer’s Disease and Related Dementias (PwADRD). Those with ADRD will experience loss of memory, impaired language and judgment, gait disorders, and other cognitive deficits, which interfere with daily activities, significantly diminishing quality of life and routinely requiring a high level of care and assistance. Family is often the first line of care for PwADRD. Eighty-three percent of dementia care is provided in the community by family caregivers, and the need for care is often a long-term endeavor. Such time-intensive care frequently has a negative impact on care partners’ mental and physical health, increasing their risk for depression and poor health. Family caregivers often feel unprepared, uninformed about care options, and unsupported by professionals in their decision making. The demand for professional caregivers far outstrips supply, and this workforce shortage will only get worse. CAIR envisions a user-inspired approach to enhance opportunities for PwADRD and their care partners by developing, validating, and deploying technologies for dementia diagnosis, care, and education based on communicative artificial intelligence (AI) and robotics. CAIR focuses on the current challenges faced by millions of PwADRD and ways to assist their family caregivers. CAIR addresses the critical need for healthcare assistance for PwADRD.
Bio:
Dr. Xiaopeng Zhao is a professor of mechanical, aerospace, and biomedical engineering at the University of Tennessee, Knoxville. He received BS and MS degrees in engineering mechanics in 1996 and 1999 respectively from Tsinghua University, China. He received Ph.D. in engineering science and mechanics in 2004 from Virginia Tech. He worked as a postdoctoral research associate in biomedical engineering at Duke University in 2005-2007. Dr. Zhao joined the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville in 2007 and has become a full professor since 2019.
Dr. Zhao is the project director on Detection, Care, and Treatment of Alzheimer’s Disease and Related Dementia, a research consortium that brings together researchers, scientists, students, and clinicians across the state of Tennessee and neighboring states to develop innovative cross-disciplinary techniques to improve the quality of life for people with ADRD as well as their caregivers. He serves as the faculty lead for the Brain-computer Interface (BCI) Community of Scholars at UTK and as a joint faculty professor at the Bredesen Center. His research focuses on neural engineering, BCI, robotics, and artificial intelligence. He has broad training and expertise on biomedical signal processing, machine learning, dynamics and control, electrophysiology, data mining, data analytics, and computer simulations. His lab has developed EEG biomarkers for detecting cognitive deficits such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and traumatic brain injury (TBI). His lab has also developed EEG-based BCI for controlling robotic devices, including social robots, drones, remote-controlled cars, and robotic arms. His lab has developed award-winning computer algorithms suitable for improving qualities of physiological signals.
Dr. Zhao is a recipient of National Science Foundation CAREER award and the University of Tennessee Strategic Research Initiatives Faculty Fellow award. He is a research fellow at the University of Tennessee Center for Transportation. He has published more 130 referred journal and conference articles. He serves on the editorial board of several leading journals in AI and robotics, and has organized multiple international workshops and research symposiums.
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