We are honored to announce our keynote speaker list for ICHI 2016. We think this remarkable set of speakers will inspire you in your respective work.
1. Keynote Speaker: Benjamin Lok
Benjamin Lok is a Professor in the Computer and Information Sciences and Engineering Department at the University of Florida and co-founder of Shadow Health, Inc., an educational software company. He is also an Adjunct Associate Professor in the Department of Psychiatry and Health Behavior at Georgia's Health Sciences University. His research focuses on virtual humans and mixed reality in the areas of computer graphics, virtual environments, and human-computer interaction. Professor Lok received a Ph.D. (2002, advisor: Dr. Frederick P. Brooks, Jr.) and M.S. (1999) from the University of North Carolina at Chapel Hill, and a B.S. in Computer Science (1997) from the University of Tulsa. He did a post-doc fellowship (2003) under Dr. Larry F. Hodges at the University of North Carolina at Charlotte.
Professor Lok received a Herbert Wertheim College of Engineering Faculty Mentoring Award (2016), NSF Career Award (2007-2012), and the UF ACM CISE Teacher of the Year Award in 2005-2006. He and his students in the Virtual Experiences Research Group have received Best Paper Awards at ACM I3D (Top 3, 2003) and IEEE VR (2008). He currently serves on the Steering Committee of the IEEE Virtual Reality conference, general chair of IEEE VR 2014 and IEEE VR 2013, and program co-chair both ACM VRST and IEEE VR conferences. Professor Lok is on the editorial board of the International Journal of Human-Computer Studies, Simulation: Transactions of the Society for Modeling and Simulation, and ACM Computing Surveys.
Keynote Talk Title: Virtual Teammates: Influencing Better Teamwork to Improve Patient Care
Imagine you are an operating room nurse. Could training with virtual human teammates empower you to speak up to a bullying teammate? Could virtual teammates change the way you speak as to reduce errors? How about learn new patient safety policies or efficiently transfer care?
In this talk, we will explore the emerging area of using virtual humans to subtly influence healthcare teams's teamwork and communication skills. This application of virtual humans could have significant patient safety impact as teamwork and communication is the top reason for adverse events in critical care areas, such as the emergency room, intensive care unit, and operating room.
We will examine the latest research into simulating healthcare teams with mixed reality humans. Mixed reality humans are virtual humans that can share the same physical space as the user. These virtual humans combine interactive graphics, natural language processing, artificial intelligence, human-computer interaction, and data mining to create in situ learning experiences. In these learning experiences, critical care personnel can work to improve teamwork with life-sized interactive virtual team-mates. These learning experiences can also help implement best-practices to address address difficult teamwork concepts such as authority gradients, conflict negotiation, empathy and critical thinking.
We will examine results from studies evaluating the perception of virtual teammates, lessons learned in integrating such systems into hospital training, and areas for future research.
2. Keynote Speaker: Peter Pirolli
Peter Pirolli is a Research Fellow and Area Manager in the Interactive Intelligence Area at the Palo Alto Research Center (PARC), where he has been pursuing studies of human information interaction since 1991. He is the author of “Information Foraging Theory: Adaptive Interaction with Information.” He has long been interested in developing psychological and social science around new emerging technologies in order to provide a foundation for new designs that make people smarter, healthier, and more productive. His current interest is in the science and engineering of mobile health systems for behavior change. He is an elected Fellow of the American Association for the Advancement of Science, the Association for Psychological Science, the American Psychological Association, the National Academy of Education, and the Association for Computing Machinery SIGCHI Academy.
Keynote Talk Title: The Psychology of mHealth Systems
Health applications designed to foster healthy behavior changes using smartphones (mHealth) and other ubiquitous technologies provide great opportunities for projecting highly personalized support into everyday life at large economies of scale. These major advances in sensing, assessment, and coaching capabilities will revolutionize our scientific understanding of the psychology of individuals, providing a new foundation for helping people to achieve their goals for better health and wellness. In the near term, there is a need to replace the plethora of existing theories of individual health behavior change with integrated computational theories. Such computational theories can serve as a foundation for the optimization of digital interactions to the changing individual in their everyday ecology. I will draw upon recent research on dynamical theories of mHealth and argue that computational cognitive architectures can provide a foundation for a deeper understanding of the psychology of mHealth systems.
3. Keynote Speaker: May D. Wang
May D. Wang, Ph.D. is a full professor in the Joint Department of Biomedical Engineering of Georgia Tech and Emory, School of Electrical and Computer Engineering of Georgia Tech, a Kavli Fellow, a Georgia Research Alliance Distinguished Cancer Scholar, and a Fellow of The American Institute for Biological and Medical Engineering (AIMBE). Professor Wang serves as Co-Director of Biomedical Informatics Program of Georgia Tech in Atlanta Clinical and Translational Science Institute (ACTSI), Co-Director of Georgia-Tech Center of Bio-Imaging Mass Spectrometry, and Biocomputing and Bioinformatics Core Director in Emory-Georgia-Tech Cancer Nanotechnology Center. She is also with Emory Winship Institute, Georgia Tech IBB and and IPaT.
Dr. Wang’s research interest is Biomedical Big Data Analytics, with a focus in Biomedical and Health Informatics (BHI) for Personalized and Precision Health. Specifically, she works on high throughput NGS and -omic data mining to identify clinical biomarkers, bionanoinformatics, pathological imaging informatics to assist clinical diagnosis, critical and chronic care health informatics for evidence-based decision making, and predictive systems modeling to improve health outcome. She is the corresponding/co-corresponding author for articles published in Journal of American Medical Informatics Association (JAMIA), Journal of Biomedical and Health Informatics (JBHI), IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Briefings in Bioinformatics, BMC Bioinformatics, Journal of Pathology Informatics, Proceedings of The IEEE, IEEE Transactions on Biomedical Engineering (TBME), Proceedings of National Academy of Sciences (PNAS), Annual Review of Medicine, Nature Protocols, Circulation Genetics, Nanomedicine, BMC Medical Imaging, Annals of BME (ABME), and Trends in Biotechnology etc. She has led RNA-data analysis investigation within FDA-led Sequencing Consortium (SEQC) of MAQC-III.
Currently, Prof. Wang serves as the Senior Editor for IEEE Journal of Biomedical and Health Informatics (J-BHI), an Associate Editor for IEEE Transactions on Biomedical Engineering (TBME), and IEEE Big Data Initiative Steering Committee member. She served as an Emerging Area Editor for Proceedings of National Academy of Science (PNAS), 2014-2015 IEEE Engineering in Medicine and Biology Society (EMBS) Distinguished Lecturer, IEEE EMBS Biomedical and Health Informatics (BHI) Technical Committee Chair during 2012-15, and IEEE EMBS BHI Conference Steering Committee Chair during 2013-2016. In addition, Dr. Wang has devoted to the training of young generation of data scientists and engineers, and is a recipient of Georgia-Tech’s Outstanding Faculty Mentor for Undergraduate Research.
Keynote Talk Title: Biomedical Big Data Analytics for Outcome-Driven Precision Health
Rapid advancements in biotechnologies such as –omic (genomics, proteomics, metabolomics, lipidomics etc.), next generation sequencing, bio-nanotechnologies, molecular imaging, and mobile sensors etc. accelerate the data explosion in biomedicine and health wellness. Multiple nations around the world have been seeking novel effective ways to make sense of “big data” for evidence-based, outcome-driven, and affordable 5P (Patient-centric, Predictive, Preventive, Personalized, and Precise) health care. The goal is develop multi-modal and multi-scale (i.e. molecular, cellular, whole body, individual, and population) biomedical data analytics research for discovery, development, and delivery.
First, I will highlight major challenges in biomedical health informatics pipeline consisting of data quality control, information feature extraction, advanced knowledge modeling, decision making, and proper action taking through feedback. Second, I will present utilities of health analytics for translational medicine such as histopathological imaging informatics for improving clinical decision support; RNA-seq data analytics such as algorithms for users to achieve improved biological utility, reproducibility, and effectiveness in decision making; and Electronic Health Record data quality control and mining. Third, I will discuss emerging research directions such as integrating genomics in EHR. Last, there is big shortage of data scientists and engineers who are capable of handling Big Data to meet the need of healthcare stakeholders (i.e. patients, physicians, payers, and hospitals). I will discuss efforts such as patient-centric educational intervention, community-based crowd sourcing, and Biomedical Data Analytics MOOC development.
Our research has been supported by NIH, NSF, Georgia Research Alliance, Georgia Cancer Coalition, Emory-Georgia Tech Cancer Nanotechnology Center, Children’s Health Care of Atlanta, Atlanta Clinical and Translational Science Institute, USA Centers for Disease Control and Prevention (CDC), and industrial partners such as Microsoft Research and HP.