Speakers

Jeffrey Kaye

Professor | School of Medicine 

Oregon Health & Science University

Dr. Jeffrey Kaye is the Layton Endowed Professor of Neurology and Biomedical Engineering at Oregon Health & Science University. He is the director of ORCATECH (the Oregon Center for Aging & Technology) and director of the Layton Aging and Alzheimer’s Disease Center. Dr. Kaye’s research has focused over the past three decades on understanding healthy aging using a variety of approaches ranging across the fields of genetics, neuro-imaging, physiology and continuous activity monitoring. Dr. Kaye serves or has served on many national and international panels and review boards in the fields of geriatrics, neurology, and technology including as a commissioner for the Center for Aging Services and Technology (CAST) and Chair of the International Society to Advance Alzheimer’s Research and Treatment (ISTAART).

Parisa Rashidi

Professor | Department of Biomedical Engineering

University of Florida

Dr. Parisa Rashidi is currently a Professor at the J. Crayton Pruitt Family Department of Biomedical Engineering (BME) at University of Florida (UF). She is also affiliated with the Electrical & Computer Engineering (ECE) and Computer & Information Science & Engineering (CISE) departments. She is the director of the “Intelligent Health Lab” (i-Heal). Dr. Rashidi’s research focuses on: (1) transforming patient care in the Intensive Care Unit by developing autonomous monitoring tools using advanced machine learning techniques, and (2) developing intelligent tools for monitoring cognitive and mental conditions of community-dwelling patients. She has forged a highly collaborative research program to address these problems, collaborating with several departments at College of Medicine including nephrology, anesthesiology, clinical neuropsychology, and aging.

Elizabeth Mynatt

Dean | Khoury College of Computer Sciences

Northeastern University

Dr. Elizabeth Mynatt is the Dean of Khoury College of Computer Sciences at Northeastern University. Previously, Dr. Mynatt served as Regents’ and Distinguished Professor in the College of Computing at Georgia Tech and executive director of the Institute of People and Technology. Dr. Mynatt is an expert in the areas of ubiquitous computing and assistive technologies. Dr. Mynatt was one of the leading researchers in the Aware Home Research Initiative, which investigated future home technology designs that enable aging adults to continue to live independently. Dr. Mynatt is also senior investigator with Emory’s Cognitive Empowerment Program and co-PI for the NSF AI-CARING Institute, both with the goal of creating longitudinal, interactive AI technologies to empower older adults and their care networks

Tapomayukh Bhattacharjee

Assistant Professor | Department of Computer Science

Cornell University

Dr. Tapomayukh “Tapo” Bhattacharjee is an Assistant Professor at the Department of Computer Science at Cornell University where he directs the EmPRISE Lab. Dr. Bhattacharjee’s research aims at enabling robots to assist people with mobility limitations with activities of daily living. Dr. Bhattacharjee’s research spans the fields of Human-Robot Interaction, Haptic Perception, and Robot Manipulation. With his background in both CS and ME, he is a full-stack roboticist. Dr. Bhattacharjee is not only passionate about developing algorithms that solve fundamental problems in these domains but also strongly believes in developing real robotic systems, deploying them in the real world, and evaluating them with real users.

Charlie Kemp

Co-Founder & Chief Technology Officer

Hello Robot Inc.

Dr. Charlie Kemp is a recognized expert on mobile manipulation and is passionate about enabling robots to help people. In 2017, he cofounded Hello Robot with Dr. Aaron Edsinger to encourage a future in which mobile manipulators improve life for everyone. Prior to joining Hello Robot full-time, he was a tenured associate professor at Georgia Tech where he directed pioneering robotics research and was an award-winning teacher. At Georgia Tech, Dr. Kemp's research focused on enabling robots to provide intelligent physical assistance in the context of healthcare. 

Alisha Pradhan

Assistant Professor | Department of Informatics

New Jersey Institute of Technology

Dr. Alisha Pradhan is an Assistant Professor in the Department of Informatics at New Jersey Institute of Technology. Dr. Pradhan's research focuses on Human Computer Interaction (HCI), particularly  on inclusive technology design. Her research goal is to ensure that technological advancements are inclusive and usable by everyone. By adopting user-centered design approaches, much of Dr.Pradhan's work has engaged with older adults to design technologies that can support people of varying ages and abilities. Before joining NJIT, Dr. Pradhan was a user experience researcher in the Social Impact team of Meta, Inc. 

Marjorie Skubic

Professor Emerita | Department of Electrical Engineering & Computer Science

University of Missouri

Dr. Marjorie Skubic is a Curators’ Distinguished Professor Emerita in the Electrical Engineering and Computer Science Department at the University of Missouri. Her research interests include sensor networks for ambient intelligence, with automated alerts for health changes, increasing fall risk, and actual fall events, as well as preventative health screening, rehabilitation tools, and user interfaces to foster proactive healthcare. In 2006, Dr. Skubic established the Center for Eldercare and Rehabilitation Technology (CERT) at the University of Missouri and has served as the Center Director for this interdisciplinary team. In 2022, CERT became part of the NSF-funded IUCRC Center to Stream Healthcare In Place (C2SHIP).

Thomas Ploetz

Professor | School of Interactive Computing

Georgia Insitute of Technology

Dr. Thomas Ploetz is a Professor in the School of Interactive Computing at the Georgia Institute of Technology. His research agenda focuses on applied machine learning, that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for his work is computational behavior analysis where he develops methods for automated and objective behavior assessments in naturalistic environments. Main driving functions for his work are “in the wild'' deployments and as such the development of systems and methods that have a real impact on peoples’ lives.

Zachary Beattie

Associate Professor | School of Medicine

Oregon Health & Science University

Dr. Zachary Beattie is an Associate Professor of Neurology at the Oregon Health & Science University, the co-lead of the Digital Technology Core of the Oregon Alzheimer’s Disease Research Center, and is the lead data scientist at Oregon Center for Aging and Technology (ORCATECH). His current efforts are pivotal in expanding the ORCATECH platform to support extensive research across hundreds of homes in the U.S. (and the world), focusing on developing digital biomarkers from data collected via digital sensors in the homes of elderly individuals. Previously, he was a Research Scientist at Fitbit, where he led several key projects including the development of the Fitbit Sleep Stages feature, which has gathered over 6 billion nights of sleep data.

Dakuo Wang

Associate Professor | Khoury College of Computer Sciences

Northeastern University

Dr. Dakuo Wang is an Associate Professor at Northeastern University, jointly appointed at Khoury College of Computer Sciences and the College of Arts, Media and Design. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a focus on the exploration, development, and evaluation of human-centered AI (HCAI) systems. The overarching goal is to democratize AI for every person and every organization, so that they can access their own AI and collaborate with these real-world AI systems (human-AI collaboration). Before joining Northeastern, Dr. Wang was a Senior Staff Member at IBM Research, Principal Investigator at MIT-IBM Watson AI Lab, and a Visiting Scholar at Stanford Institute for Human-Centered Artificial Intelligence.