Organizers

Hassan Ghasemzadeh is an Associate Professor of Computer Science in the School ofElectrical Engineering and Computer Science at Washington State University. Hisresearch interests lie in different aspects of Embedded and Pervasive System Designincluding system-level optimization, algorithms, and machine learning. The focus ofhis currentwork is on power-aware system design, model personalization, andhuman-in-the-loop learning for networked embedded systems with a primaryemphasis on applications in healthcare and wellness. He received a Ph.D. from theUniversity of Texas at Dallas, a M.S. degree from University of Tehran, and a B.S.degree from Sharif University of Technology.

Manfred Huber is a Professor of Computer Science at the University of Texas at Arlington. He received his PhD. in Computer Science from the University of Massachusetts at Amherst in 2000.His research focus is in robotics and machine learning with emphasis in cognitive systems and intelligent technologies for healthcare and health monitoring. He co-directs the LEARN Lab as well as the SmartCare laboratory, a newly constructed live-in laboratory for the development and evaluation of advanced health monitoring technologies. His research has been supported by funding from NSF, NIH, DHHS, the state of Texas, and a number of foundations and has led to more than 100 peer-reviewed publications. He is a member of the UTA Academy of Distinguished Teachers an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics, and serves on the Program Committees for a significant number of international conferences.

Diane Cook is currently a Regents Professor and a Huie-Rogers Chair Professor inthe School of Electrical Engineering and Computer Science at Washington StateUniversity. She received a B.S. degree from Wheaton College in 1985, a M.S. degreefrom the University of Illinois in 1987, and a Ph.D. degreefrom the University ofIllinois in 1990. Her research interests include artificial intelligence, machinelearning, data mining, robotics, smart environments, and parallel algorithms forartificial intelligence. She is one of the directors of the AI Laboratory and heads theCASAS smart home project at WSU. She also co-directs the NIH Training Program inGerontechnology.

Thomas Ploetz is a computer scientist with expertise and almost 15 years ofexperience in Pattern Recognition and Machine Learning research (Ph.D. fromBielefeld University, Germany). His research agenda focuses on applied machinelearning, that is developing systems and innovative sensor data analysis methodsfor real world applications. Primary application domain for his work iscomputational behavior analysis where he develops methods for automated andobjective behavior assessments in naturalistic environments. Maindriving functionsfor his work are “in the wild” deployments and as such the development of systemsand methods that have a real impact on peoples’ lives. In 2017, Dr. Ploetz joined theSchool of Interactive Computing at the Georgia Institute of Technology where heworks as an associate professor. Prior to this, he was an academic at the School ofComputing Science at Newcastle University in Newcastle upon Tyne, U.K., where hewas a reader (associate professor) for Computational Behavior Analysis affiliatedwith Open Lab, Newcastle’s interdisciplinary center for research in digitaltechnologies.

Donna Spruijt-Metz Donna Spruijt-Metz is Director of the USC mHealth Collaboratory at the University ofSouthern California’s Center for Economic and Social Research, and Professor ofResearch in Psychology. She also holds a complimentary appointment at the KeckSchool of Medicine, Department of Preventive Medicine. Her main interests includeusing mobile technologies to develop data sets that combine sensor and self-reportdata that is continuous, temporally rich, contextualized. Using this data along withinnovative modeling techniques, she wants to develop dynamic, contextualizedmathematical models of health-related behavior. She was one of the first toundertake a just-in-time, adaptive intervention (JITAI) in youth, and envisions mostor all interventions being JITAI in the future. Her research focuses on childhoodobesity and mobile health technologies, including the KNOWME Networks projectthat developed a Wireless Body Area Network system to decrease sedentariness andincrease physical activity in overweight minority youth using a JITAI. She is PIofVirtual Sprouts, a virtual, multiplatform gardening game designed to change dietaryknowledge and behavior and prevent obesity in minority youth. She recently led anNSF/EU/NIH-funded workshop in Brussels on building new computationally-enabled theoretical models to support health behavior change and maintenance. Herwork meshes 21st century technologies with transdisciplinary metabolic, behavioraland environmental research in order to facilitate the development of dynamic,personalized, contextualizedbehavioral interventions that can be adapted on the fly.She has a deep interest in harnessing mobile health and new media modalities tobring researchers and researched systems into interaction, to engage people in theirown data, and to bring about lasting change in public health.

Gina Sprint is an Assistant Professor in Computer Science at Gonzaga University.Shereceived her PhD in Computer Science from Washington state University in 2016,where she also wasa Clinical Assistant Professorbefore moving to GonzagaUniversity in 2017. Herresearch interests include wearable computing, machinelearning, technology applications for healthcare, and computer science education.Her researchonSmarthome-based health event detection and wearable sensors hasbeen funded by NIH andresultedin a significant number ofresearchpapersas wellas practical applications.She has been active in ACM, SWE, and IEEE and serves on the Program Committeesfor anumber of international conferences.