Faculty

Faculty
Personal Health Informatics Doctoral Program

Collectively, faculty at Northeastern have expertise in novel patient-facing health interface design and evaluation, assistive technologies, psychology and emotions, statistics, health communications, entrepreneurial business development and evaluation of health technologies, U.S. health systems and policy supporting technologies such as information retrieval as applied to health data analysis, and applications of technology in nursing, pharmacy practice, and public health behavioral assessment.

Students interested in the PHI Ph.D. program should contact individual faculty members to inquire about active PHI projects. The following faculty members have indicated that they are actively recruiting students to start in the program in 2014: Profs. Bickmore, Fell, Goodwin, Intille, Jimison, Parker, Patel, and Pavel. Others may be as well.

Jay Aslam, PhD
Professor
College of Computer and Information Science

Professor Aslam’s research interests include information retrieval, machine learning, and the design and analysis of algorithms. In machine learning, he has focused on developing algorithms that are capable of learning in the presence of noisy or erroneous training data. In information retrieval, he has developed algorithms for efficient search engine training and evaluation, automatic information organization, and metasearch and data fusion. These techniques have potential application in personal health informatics.
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Lisa Feldman-Barrett, PhD
Distinguished Professor
Dept. of Psychology, College of Science

Professor Barrett is a well-known expert in the study of emotion and use of electronic experience sampling to assess emotional states, which has many ties to health behavior and behavior change. Her lab studies the nature of emotion broadly from social psychological, psychophysiological, cognitive science, and neuroscience perspectives, taking inspiration from anthropology, philosophy, and linguistics. She also explores the role of emotion in vision and other psychological phenomena.
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Timothy Bickmore, PhD
Associate Professor
College of Computer and Information Science

Professor Bickmore’s research concerns the development and evaluation of computer agents that emulate face-to-face interactions between health providers and patients for use in health education and long-term health behavior change interventions, with a particular focus on the nonverbal, emotional, and relational aspects of these interactions. These agents have been used in clinical trials with thousands of patients in applications ranging from hospital bedside patient education about post-discharge self-care to exercise promotion in geriatrics outpatient clinics to home-based antipsychotic medication adherence promotion.
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Deniz Erdogmus, PhD
Assistant Professor
Dept. of Electrical and Computer Engineering, College of Engineering

Professor Erdogmus’ expertise is in the design of pattern analysis, feature extraction, and statistical inference algorithm and system design based on information theory, statistical signal processing, and machine learning. His group focuses on designing learning systems that co-adapt with the user to achieve maximum performance in a given task and has applications in personal assistive technologies, such as those that use brain interfaces.
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Dan Feinberg, MBA
Director & Assistant Clinical Professor, MS Health Informatics Graduate Program

Professor Feinberg directs the interdisciplinary Health Informatics M.S. Program. His background includes work as project manager for a web-based health record for mental health providers and patients in the Boston University Center for Psychiatric Rehabilitation and as the chief executive for RetinaCheck, a telemedicine system for monitoring diabetic eye disease. His current focus is on health data analytics.
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Stacy Marsella, PhD
Professor
College of Computer and Information Science and Department of Psychology

Professor Marsella’s multidisciplinary research is grounded in the computational modeling of human cognition, emotion and social behavior as well as the evaluation of those models. Beyond its relevance to understanding human behavior, the work has seen numerous applications, particularly in the design of virtual humans, human facsimiles that can interact with people using verbal and nonverbal behavior. He has applied this technology to health interventions for AIDS prevention, coping skills for patients with chronic conditions and social skills training for medical professionals.
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Matthew Goodwin, PhD
Assistant Professor
Dept. of Health Sciences, Bouvé College of Health Sciences & College of Computer and Information Science

Professor Goodwin’s research focuses on combining the work of behavioral scientists with computer scientists to create personal health information systems. He has expertise in ambulatory autonomic monitoring; wireless physical activity detection; wearable computing; ubiquitous computing; single-case experimental designs; intensive longitudinal data analysis; and autism spectrum disorders.
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Elizabeth P. Howard, PhD
Associate Professor
School of Nursing, Bouvé College of Health Sciences

Professor Howard works on the functional ability of the elderly, prediction models for patient outcomes, evaluation of health care education, and outcomes of exercise in the elderly, research that can inform interventions supporting aging in place.
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Stephen Intille, PhD
Associate Professor
College of Computer and Information Science & Dept. of Health Sciences, Bouvé College of Health Sciences

Professor Intille’s research explores how novel, sensor-enabled healthcare technologies that incorporate ideas from ubiquitous computing, user-interface design, pattern recognition, behavioral science, and preventive medicine might be used in “just-in-time” in-home and mobile applications that motivate and assist people in making healthy behavior changes.
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Maura Iversen, PT, DPT, SD, MPH
Professor and Chair
Dept. of Physical Therapy, Bouvé College of Health Sciences

Professor Iverson’s research explores the efficacy and effectiveness of non-pharmacologic interventions for persons with arthritis, understanding behavioral and social factors influencing adherence to interventions in rheumatic conditions, and application of medical simulation to team care.
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Holly Jimison, PhD
Professor of Practice
College of Computer and Information Science and School of Nursing, Bouvé College of Health Sciences

Professor Jimison’s research is on technology for successful aging and scalable remote care. She is now the director of the Northeastern-based Consortium on Technology for Proactive Care, which has been created to develop a technology infrastructure for sustainable interventions that support continuity of care outside a hospital setting and promote long-term health behavior change. She came to Northeastern from the National Institutes of Health, where she was a technology advisor involved in the Big Data Initiative for Monitoring Health Behaviors at Home and in the Environment.
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Marc Meyer, PhD
Robert J. Shillman Professor of Entrepreneurship, Matthews Distinguished University Professor
Founder of Northeastern’s Entrepreneurship and Innovation Group & Director of the High Technology MBA, College of Business

Professor Meyer is the Director of the High Technology MBA, a program focused on entrepreneurial innovation within established corporations. Dr. Meyer been part of the startup teams of VenturCom (acquired by Citrix; developer of real-time embedded OS for patient monitors and other medical devices), Sentillion (acquired by Microsoft; leader in single sign-on for healthcare providers), and Acustream (a revenue management venture). He has also designed next generation products and business strategies for Lincoln National Reinsurance (SwissRe), McKesson, and Partners Healthcare.
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Carey Marie Noland, PhD
Associate Professor
Dept. of Communication Studies, College of Arts, Media, and Design & College of Business

Professor Noland’s research explores societal medical crises (HIV/AIDS, medication errors, obesity) to understand the root causes of these trends and demonstrate how a fundamental understanding of the issues from a communication perspective can provide valuable knowledge that will serve to increase the success of prevention programs.
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Guevara Noubir, PhD
Associate Professor
College of Computer and Information Science

Professor Noubir research’s covers both theoretical and practical aspects of secure and robust wireless communication systems. Personal health informatics technologies are increasingly using wireless sensing and communication.
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Andrea Grimes Parker, PhD
Assistant Professor
College of Computer and Information Science and Department of Health Sciences

Professor Parker’s research examines ethnic and economic health disparities and the social context of health management. She conducts in-depth fieldwork to examine the intrapersonal, cultural, and environmental factors that influence a person’s ability and desire to make healthy decisions. Using the insights gained in these investigations, she designs mobile, ubiquitous and collaborative computing systems to support health and wellness.

Rupal Patel, PhD
Associate Professor
Dept. of Speech Language Pathology and Audiology, Bouvé College of Health Science & College of Computer and Information Science

Professor Patel’s research is aimed at identifying information-bearing signals in typically developing children and individuals with neuromotor speech disorders in order to design, develop and evaluate the impact of novel communication and learning technologies that assess and/or augment speech communication. She has particular interest in studying the acoustics of speech melody and in designing multimodal interfaces that are informed by and build upon knowledge from speech acoustics, signal processing, language acquisition, cognitive psychology, and human computer interaction.
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Misha Pavel, PhD
Professor of Practice
College of Computer and Information Science and Health Sciences, Bouvé College of Health Sciences

Professor Pavel’s research is focused on multiscale computational modeling of complex behaviors of biological systems, which are applied in engineering, augmentation of human performance, and healthcare. Using such model-based approaches, Professor Pavel is using these model-based approaches to develop algorithms converting unobtrusive monitoring data to useful and actionable knowledge for diagnosis and intervention. These efforts, undertaken within the Northeastern-based Consortium on Technology for Proactive Care, are targeting technological innovations to support the evolution of economically feasible, proactive, distributed, and individual-centered healthcare. Professor Pavel previously was the director of the Smart and Connected Health Program at the National Science Foundation, a program co-sponsored by the National Institutes of Health. More…

Karen S. Quigley, PhD
Research Associate Professor
Dept. of Psychology, College of Science

Professor Quigley’s background is as a physiological psychologist and psychophysiologist with interests in health psychology and the role of emotion in health and other behaviors. Her prior work has been on understanding the role of stress and negative affect on health and other behaviors, cognitions, and affective experience, in some cases using mobile physiological sensing.
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Nathaniel M. Rickles, PharmD, PhD, BCPP
Associate Professor
Dept. of Pharmacy Practice, Bouvé College of Health Sciences

Professor Rickles’ research concerns the development and evaluation of telephone-based and computer-based interventions to improve the communication between multiple providers and patients regarding medication adherence. He is also interested in: (1) evaluating the synergistic impact use of adherence technologies and enhanced provider-patient communication; (2) exploring ways to optimize information exchange regarding medication adherence between pharmacists and prescribers; and (3) examining the role of computer-based self-monitoring of antidepressant treatment across multiple patient outcomes.
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Carmen Sceppa, MD, PhD
Associate Professor
Dept. of Health Sciences, Bouvé College of Health Sciences

Professor Sceppa’s translational research provides evidence base information for participatory community-based interventions on behavior change (nutrition, physical activity and stress management) to promote health and manage chronic diseases in population at risk and in those burdened by health disparities. She incorporates novel technologies for virtual health behavior counseling and the assessment of sedentary behavior and physical activity in randomized controlled trials assessing the efficacy of specific health promotion interventions.
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Magy Seif El-Nasr, PhD
Associate Professor
Creative Industries: Game Design and Interactive Media Program, College of Arts, Media, and Design and College of Computer and Information Sciences

Professor Seif El-Nasr’s research integrates computer science, human computer interaction, software and visual design, and psychology with a focus on creating tools and methods to enhance the user experience in interactive and social media, such as games for health. In particular, she is currently working on developing game and social media design models that targets behavior change and healthy habit formation through constant feedback and integration of advanced visualization techniques and social and game based reward systems. She has received multiple grants and awards, and her work is also internationally cited in game industry books and conference talks. She is the chair of 2012 Foundations of Digital Games, an international conference that gathers the game development and design community to discuss advanced topics and contributions to the game research field. She is also on the advisory board of the IGDA Games User Research Summit, which explores methodologies for understanding how players interact with games to allow for game design innovation and enhancements. She is also actively collaborating with game companies, including IgnitePlay (a games for health company), Electronic Arts, and Relic Entertainment.
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Mariya Shiyko, PhD
Assistant Professor
Dept. of Counseling and Applied Psychology, Bouvé College of Health Sciences

Professor Shiyko’s research interests concentrate on analytical techniques for modeling intensive longitudinal data (ILD) and study designs employing real-time data collection methodology (i.e. ecological momentary assessments). She is applying advanced statistical techniques, such as multilevel and joint modeling and functional data analysis, and promoting use of these methods by social scientists. She is interested in design issues such as sampling frequency, adherence, and questionnaire development, among others. Applications of her research include smoking behavior and related psycho-social processes, physical activity, pain management, and quality of life assessments.
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Ayten Turkcan, PhD
Assistant Professor
Dept. of Mechanical and Industrial Engineering, College of Engineering

Professor Turkcan works in healthcare systems engineering, specifically clinical appointment scheduling, chemotherapy operations planning and scheduling, operating room planning and scheduling, planning of mental health services, and workflow analysis.
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Robert Volpe, PhD
Associate Professor
Dept. of Counseling and Applied Educational Psychology

Professor Volpe’s research focuses on understanding the relationship between attention-deficit/hyperactivity disorder (ADHD) and academic achievement, and in designing and evaluating behavioral and academic interventions for students with and without ADHD. He is investigating ways to employ technology to address barriers to providing behavioral and academic supports to these students. He has expertise in behavioral assessment and academic and behavioral interventions.
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