Jeff Huang is an Associate Professor and Associate Chair of Computer Science at Brown University. His research focuses on Human-Computer Interaction (HCI), with emphases on personalized systems using behavioral data, health informatics, and user interfaces. Huang holds a PhD from the University of Washington and degrees from the University of Illinois at Urbana-Champaign. His work is funded by NSF, NIH, and ARO, and he has received awards including the NSF CAREER Award and ARO Young Investigator Award. Education: PhD in Information Science, University of Washington (2013) MS in Computer Science, University of Washington (2013) BS and MS in Computer Science, University of Illinois at Urbana-Champaign (2007) Research Interests: His work spans health informatics (e.g., sleep tracking systems like Self-E and SleepCoacher), user interface design, and leveraging behavioral data for personalized systems. Notable projects include WebGazer (webcam eye tracking), filtered.ink (creative illustration tools), and Sochiatrist (mental health analytics). Teaching: He teaches courses on user interfaces, HCI, and research methods, including CSCI 0130/1300 (User Interfaces), CSCI 2300 (HCI Seminar), and CSCI 2000 (Research Methods). Awards: NSF CAREER Award Facebook Fellowship ARO Young Investigator Award Grants & Advising: Huang leads a research group advising over 50 students, many of whom have pursued academic and industry roles. His grants support projects in HCI, health tech, and collaborative systems.
University of North Carolina at Chapel HillUnited States
Dr. Stan Ahalt serves as the inaugural Dean of the UNC School of Data Science and Society (SDSS) and holds a professorship in the Department of Computer Science at UNC-Chapel Hill. He previously directed the Renaissance Computing Institute (RENCI) and currently acts as its executive advisor. Additionally, he is the associate director of informatics and data science at NC TraCS, the translational research institute at UNC. His academic journey includes a 22-year tenure as professor of electrical and computer engineering at Ohio State University and leadership roles at the Ohio Supercomputer Center. Ahalt’s research focuses on applying data science to societal challenges such as healthcare, climate, and judicial reform. Key initiatives include the National Consortium for Data Science and the iRODS project, which advanced enterprise data management systems. Ahalt has secured over $34.5M in grants to lead high-impact projects like the NHLBI BioData Catalyst (unifying biomedical data), the NCATS Translator (accelerating clinical discovery), and the NIH HEAL Initiative (ensuring FAIR data standards). He mentors students across doctoral and master’s programs, teaching data science fundamentals in courses like COMP 116: Introduction to Scientific Programming. His work emphasizes interdisciplinary collaboration, evidenced by roles in RENCI, NC TraCS, and the SDSS. Ahalt’s contributions span cyberinfrastructure development, educational innovation, and translational research, positioning UNC as a national leader in data science.
Allison Buchanan is an Associate Professor at the Dental College of Georgia , part of Augusta University . She serves as Interim Chair and Associate Chair for Oral Biology, while teaching at both predoctoral and graduate levels. Her work focuses on Cone Beam Computed Tomography (CBCT) and Digital Radiography , with a special emphasis on Quality Assurance and Obstructive Sleep Apnea imaging. Recent publications address radiation safety, disinfection methods for imaging plates, and software quality control in dental radiology. 2024 : Outstanding Faculty Award, Augusta University 2021 : Honorable mention awardee for Oral and Maxillofacial Radiology (OMR) section 2020 : Inducted into PHI KAPPA PHI Honor Society 2018 : Faculty Research and Scholarship Achievement Award Buchanan serves on multiple committees including the Standards Committee on Dental Informatics (2022-present) and the American Dental Association (2021-present), with editorial board memberships since 2018. Her teaching portfolio includes courses like Radiology Clinic II and Diagnostic Sciences Conference .
Johan Gustav Bellika is a Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway, based in Tromsø. His work bridges clinical medicine with health informatics, focusing on practical applications that improve healthcare delivery and patient outcomes. Current Position: Professor, Department of Clinical Medicine Institution: UiT The Arctic University of Norway Location: Tromsø, Norway Contact: johan.gustav.bellika@uit.no Professor Bellika's research spans several critical areas in modern healthcare. His primary focus is on health informatics with particular emphasis on medical data privacy, electronic health records, and the application of artificial intelligence in clinical settings. He has made significant contributions to understanding chronic pain management through technology, primary care research networks, and patient-centered care models. His work often involves large population studies such as the Tromsø Study, examining how digital health tools impact healthcare utilization and patient outcomes. His research demonstrates a consistent thread connecting technological innovation with practical clinical applications. Bellika has been instrumental in developing privacy-preserving architectures for healthcare data analysis, which enable researchers to gain insights from sensitive health information without compromising patient privacy. His work on federated learning frameworks represents cutting-edge approaches to analyzing medical data while maintaining strict privacy controls. Health Informatics and Medical Data Privacy Chronic Pain Management through Technology Primary Care Research Networks (PraksisNett) Electronic Health Records and Clinical Decision Support Patient-Centered Digital Health Solutions Federated Learning Applications in Healthcare Professor Bellika's publication record shows a strong trend toward interdisciplinary research that combines clinical medicine, computer science, and public health. His recent work increasingly focuses on the intersection of artificial intelligence and healthcare, particularly how machine learning can be applied to chronic conditions while maintaining rigorous privacy standards. The geographical scope of his research extends across Norway with particular emphasis on Northern Norwegian populations, providing valuable insights into healthcare delivery in Arctic and remote regions. His collaborative approach is evident through numerous co-authored publications with researchers across multiple institutions and disciplines. While specific awards aren't detailed in the available information, his extensive publication record in reputable journals suggests recognition within his field. Professor Bellika has been actively involved in several major research initiatives including the Tromsø Study and PraksisNett, Norway's nationwide practice-based research network. His work on privacy-preserving architectures for healthcare data has significant implications for how medical research can be conducted while respecting patient confidentiality. He appears to be particularly focused on translating research findings into practical tools for clinicians, as evidenced by his work on audit and feedback systems for antibiotic prescribing.
Ashli Owen-Smith is a behavioral scientist affiliated with the School of Public Health at Georgia State University , where her research focuses on mental health disparities, suicide prevention, and integrative/complementary approaches for complex mental-physical health conditions. She works with underserved populations including refugees/immigrants, incarcerated individuals, and LGBTQ+ communities through community-based participatory research and mixed-methods frameworks. Her current projects are funded by CDC , DBHDD , and DPH . Education: Ph.D. in Behavioral Sciences (Emory, 2009), S.M. in Public Health (Harvard, 2005), B.A. in Psychology (Smith College, 2001) Her research spans mental health , trauma , suicide prevention , and mindfulness-based interventions . Recent work examines telehealth adaptations for chronic pain and mental health, vaccine hesitancy in refugee communities, and social determinants of suicide . She leads studies on gender-affirming care and health disparities in LGBTQ+ populations. Key article trends include epidemiological analysis of suicide risk factors, COVID-19 impacts on mental health, ICD-10 coding for autism, and complementary medicine in trauma recovery. Subfields span telehealth , health equity , mental-physical comorbidity , and community engagement . Students she has mentored include C.A. Scarlett , T. Griner , and M.M. Sesay . Her work integrates public health policy , clinical research , and health systems analysis .
Margaret Bublitz is Associate Professor at Brown University with joint appointments in the Department of Psychiatry and Human Behavior , Department of Medicine , and Department of Obstetrics and Gynecology . She holds secondary appointments at the School of Public Health as Senior Investigator and Behavioral and Social Sciences faculty member. Dr. Bublitz earned her PhD in Clinical Psychology (2010) from the University of British Columbia, followed by postdoctoral training in Cardiovascular Behavioral Medicine at Brown Medical School. Her research focuses on: Psychological stress pathways to adverse perinatal outcomes Maternal childhood maltreatment effects on neurobiology Mindfulness interventions for hypertension and preterm birth prevention Her 15 most recent publications demonstrate expertise in perinatal mental health , sleep-disordered breathing , HPA axis regulation , and fetal neurodevelopment , with significant collaborations in neuroendocrinology and maternal-infant health disparities . Scientific recognition includes: 2024-2025 Global Fulbright Scholarship 2022 Brown Early Career Research Achievement Award Multiple NIH and foundation grants exceeding $6 million Bublitz leads NIH-funded projects examining mechanisms of mindfulness training (R01HL157288) and serves as mentor in the MORPHE Trial for digital maternal health innovations. She is a licensed psychologist and active member of Brown's Stress, Trauma and Resilience (STAR) Institute and Mindfulness Center .
Magdy M. A. Salama is a Professor and University Research Chair at the University of Waterloo's Department of Electrical and Computer Engineering, Faculty of Engineering. He holds a P.Eng. license and is a Fellow of the IEEE. His research spans Energy Systems (Power Quality, Smart Grids, Renewable Energy) and Biomedical Engineering (Medical Imaging, Sleep Analysis). He has authored/co-authored over 460 publications and supervised numerous graduate students. Education: PhD (University of Waterloo), M.Sc. and B.Sc. (Cairo University). Awards include the IEEE Fellow distinction, University Research Chair, and multiple teaching/research awards from the University of Waterloo. Research trends in his articles focus on Smart Grid resiliency, renewable integration, cyber-physical security, and biomedical applications of AI. Notable projects include voltage sag mitigation, EV fleet electrification, and blockchain-based energy trading platforms. Scientific Awards: IEEE Fellow, University Research Chair, Teaching Excellence Award (2000) Grants/Consultation: Extensive industry and institutional collaborations on power systems and biomedical tech. Labs/Teams: Active in High Voltage Lab, Smart Grids Research Group, and Medical Image Processing Lab.
Daan Christiaens is a tenure track lecturer at KU Leuven's Faculty of Medicine and Faculty of Engineering Sciences. He is affiliated with the Department of Electrical Engineering (ESAT) and Department of Imaging & Pathology, serving as a member of the Medical Imaging Division and the KU Leuven Brain Institute (LBI). His academic responsibilities include membership in the Faculty Councils of Engineering Sciences and Medicine. His research focuses on: Inverse problems in medical imaging reconstruction Neuroimaging techniques for brain analysis Advanced quantitative MRI methodologies Diffusion-weighted imaging for microstructural assessment Dr. Christiaens' recent publications (2023-2025) demonstrate a consistent focus on diffusion MRI innovations, including novel reconstruction algorithms, neonatal brain development mapping, and clinical applications for neurodegenerative disorders. Key technical themes include motion correction, multi-shell modeling, and AI-enhanced image processing, while clinical applications span Alzheimer's disease, cerebral palsy, and autism research. He leads significant research projects including: MRI reconstruction with dynamic field monitoring (2024-2028) Compressed sensing for microstructure imaging (2022-2026) Neonatal diffusion MRI network connectivity analysis (2024-2028) As a core developer of the MRtrix3 software framework for medical image processing, he contributes to essential tools in neuroimaging research.
Dr. Kelsey A. Bonfils is a Nina Bell Suggs Endowed Professor and Assistant Professor in the School of Psychology at the University of Southern Mississippi, where she directs the Social Cognition & Recovery in Schizophrenia (SCORS) Lab. Her academic journey includes a PhD and MS in Clinical Psychology from Indiana University-Purdue University Indianapolis, and a BS from the same institution. Dr. Bonfils' research focuses on social cognition mechanisms in schizophrenia-spectrum disorders, examining contributing factors like sleep disturbance and developing interventions to improve recovery outcomes. Her work spans clinical psychology applications for adults with serious mental illness, psychosis risk, and emotion regulation processes. She maintains active professional affiliations with the American Psychological Association, Society for Research in Psychopathology, and International Society of Interpersonal Psychotherapy. Her publication portfolio demonstrates strong research trends in: Social cognition and metacognition in psychotic disorders Sleep-psychopathology relationships Innovative psychotherapies for serious mental illness Mental health disparities and treatment accessibility Veterans' mental health services Dr. Bonfils has received the distinguished Nina Bell Suggs Endowed Professorship recognizing her contributions to clinical psychology research. She teaches graduate and undergraduate courses including Abnormal Psychology, Clinical Psychology Practicum, and Adult Psychotherapy. At the SCORS Lab, Dr. Bonfils leads research on social cognitive processes and recovery-oriented interventions for individuals with schizophrenia-spectrum disorders, with current projects investigating sleep-social cognition interactions and metacognitive therapies.
Uwe Flick is a Seniorprofessor in the Department of Education and Psychology at Freie Universität Berlin, specializing in Qualitative Social and Education Research. He has held professorships at Alice Salomon University and Hannover Medical School and is internationally recognized for his contributions to qualitative methodology. Education: Dr. phil. from Freie Universität Berlin (1988), Habilitation in Psychology from Technical University of Berlin (1994). Professional Affiliations: Freie Universität Berlin (2013–present, Seniorprofessor since 2022), Alice Salomon University (2004–2013), Hannover Medical School (1996–1997). His research centers on qualitative methods , social representations of health and illness , chronic illness , migration , and vulnerability . He investigates the lived experiences of marginalized groups, including chronically ill youth, homeless adolescents, and refugees, often employing triangulation and mixed methods to deepen understanding. The 15 most recent publications highlight his sustained focus on advancing qualitative research methodology—editing handbooks, writing foundational texts, and refining concepts of research quality, triangulation, and design. Simultaneously, his empirical work explores health communication, peer relationships, and integration challenges among vulnerable populations, demonstrating a powerful integration of methodological innovation with socially relevant inquiry. Scientific Awards: Lifetime Achievement Award in Qualitative Inquiry, ICQI (2019) Flick actively advises doctoral students through his Promotionskolloquium and has secured substantial research funding for projects on refugee integration, sleep disorders, and chronic illness. His editorial roles in journals like Qualitative Research , Journal of Health Psychology , and Sozialer Sinn , and his leadership in book series such as Qualitative Sozialforschung , underscore his influence in shaping the field. He is a central figure in qualitative research communities, frequently engaging as a visiting scholar and professor across Europe and globally. He leads a research team at Freie Universität Berlin, supervising master’s and doctoral projects on topics like peer relations, health concepts, and migration, fostering the next generation of qualitative researchers.
Hau-Tieng Wu is a Professor in the Department of Mathematics at the Courant Institute of Mathematical Sciences, New York University. Originally from Kaohsiung, Taiwan, he holds an MD from National Yang-Ming University (2003) and a PhD in Mathematics from Princeton University (2011). His research focuses on developing mathematical foundations for biomedical signal analysis, particularly in high-frequency and heterogeneous physiological signals such as ECG, EEG, and PPG. He leads the MISTA Lab, which bridges theoretical advancements with clinical applications in areas like sleep dynamics, surgical monitoring, and wearable device data analysis. Key academic roles include tenured positions at Duke University (2017–2023) and the University of Toronto (2014–2017). Notable awards include the Sloan Research Fellowship (2015) and PIMS Early Career Award (2017). His lab actively collaborates with physicians and engineers to advance interpretable medical AI systems. Research interests span nonlinear time-frequency analysis, manifold learning, and spatiotemporal data processing. Over 100+ journal publications and 10 conference proceedings highlight contributions to signal processing theory and clinical applications. The lab is recruiting PhD students/postdocs with backgrounds in applied math, statistics, or biomedical engineering.
Vicki L. Plano Clark is a Professor in the Research Methods area of the School of Education at the University of Cincinnati, where she advises students in the Quantitative and Mixed Methods Research Methodologies (QMRM) concentration of the Educational Studies doctoral program and the Applied Research Methods (ARM) track of the Educational Studies master's program. She joined the University of Cincinnati in 2012 after serving as the director of the Office of Qualitative and Mixed Methods Research at the University of Nebraska-Lincoln. Dr. Plano Clark earned her Ph.D. in Quantitative and Qualitative Methods in Education from the University of Nebraska-Lincoln (2005), M.S. in Physics from Michigan State University (1993), and B.A. in Physics from Kalamazoo College (1990). Her academic journey transitioned from physics education to research methodology, bringing a unique interdisciplinary perspective to her work. As a leading methodologist specializing in mixed methods research, Dr. Plano Clark's scholarship focuses on delineating useful designs for conducting mixed methods research, examining procedural issues associated with these designs, and exploring the contexts for the adoption and use of mixed methods. Her research spans diverse application areas including cancer pain management, STEM graduate student identity development, teacher professional development, and the well-being of rural low-income families. Her work demonstrates how mixed methods approaches can effectively address complex research questions across multiple disciplines. Dr. Plano Clark has made significant contributions to the field through her editorial leadership and publications. She was the founding Managing Editor for the Journal of Mixed Methods Research and currently serves as an Associate Editor. In 2011, she co-led the development of Best Practices for Mixed Methods in the Health Sciences for NIH's Office of Behavioral and Social Sciences Research. In 2012, she became a founding co-editor of the Mixed Methods Research Series with Sage Publications. She has authored numerous influential books including 'Designing and Conducting Mixed Methods Research' (now in its 3rd edition) and 'Mixed Methods Research: A Guide to the Field.' Founding Managing Editor for the Journal of Mixed Methods Research Co-developer of NIH's Best Practices for Mixed Methods in the Health Sciences (2011) Founding co-editor of the Mixed Methods Research Series with Sage Publications (2012) Chair of the Mixed Methods Research Special Interest Group of AERA As an active researcher, Dr. Plano Clark has secured multiple grants including a Department of Education grant evaluating Ohio Network of Education Transformation (ONET) Schools (as Principal Investigator) and a UC University Research Council grant on reducing mass incarceration by improving public defense (as Collaborator). Her recent publications continue to advance methodological understanding in mixed methods research, with a focus on integration techniques, terminology challenges, and applications across health sciences and education. Dr. Plano Clark maintains an active role in the research community through invited presentations and workshops worldwide, helping to train the next generation of researchers in mixed methods approaches and contributing to the ongoing development of methodological standards and practices.
California Institute of Technology (Caltech)United States
John C. Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech), where he holds appointments in the Division of Engineering and Applied Science with primary affiliation in the Control and Dynamical Systems Department. His research bridges theoretical foundations with applications across biological, technological, medical, and ecological networks. He earned a BS and MS in Electrical Engineering from MIT (1977) and a PhD in Mathematics from UC Berkeley (1984), followed by consultancy at Honeywell Systems and Research Center (1976-1990). MIT: BS & MS in Electrical Engineering (1977) UC Berkeley: PhD in Mathematics (1984) Doyle's research centers on universal laws and architectures in complex systems, emphasizing robustness-efficiency tradeoffs, speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie/hourglass structures, and evolvability. His work pioneers System Level Synthesis (SLS) for control systems with sparse, local, saturating, delayed, noisy, quantized, and distributed (SLSDNQD) components, integrating control theory, computation, communication, and machine learning to address challenges from neural networks to infrastructure resilience. Key concepts include virtualization, horizontal transfer, and virality in multiscale systems. Analysis of his publication trends reveals consistent interdisciplinary impact across neuroscience (brain connectivity modeling), systems biology (metabolic oscillations), network science (internet topology), and physics (turbulence, earthquakes), with recurring themes of robust-efficiency limits and architectural principles governing complex networks. His work demonstrates exceptional translation from abstract theory to practical tools like the Matlab Robust Control Toolbox and Systems Biology Markup Language (SBML). His scientific recognition includes: 1990 IEEE Baker Prize (ranked among top 10 most important mathematics papers 1981-1993) Three IEEE Automatic Control Transactions Awards (1998, 1999, 2021) ACM Sigcomm Paper Prize (2004) and Test of Time Award (2016) IEEE Control Systems Field Award (2004) Multiple early-career honors including IEEE Centennial Outstanding Young Engineer (1984) Doyle has mentored generations of students whose contributions include foundational software tools adopted globally. His research has secured sustained funding from NSF, NIH, and other agencies supporting theoretical advances in control frameworks and their applications to biomedical systems, network infrastructure, and environmental modeling. The SBML initiative exemplifies his group's impact in standardizing computational biology research. He leads a highly collaborative research ecosystem at Caltech that integrates engineers, biologists, neuroscientists, and computer scientists to develop universal principles for complex networks. Current efforts focus on translating theoretical insights into health technologies, resilient infrastructure, and climate-responsive systems through the application of robust-efficiency frameworks to emerging challenges in cyber-physical and biological domains.
Edward Ashworth is a Postdoctoral Research Associate at the Sydney School of Health Sciences, University of Sydney. He is affiliated with the Thermal Ergonomics Laboratory and the Heat and Health Research Incubator. His research focuses on human adaptations to extreme environments, including heat, altitude, hyperbaric conditions, and space-related stressors. Key projects include improving sleep quality in hot environments and enhancing physical work capacity for outdoor workers. Edward's research interests span environmental physiology, with a focus on thermal tolerance, radiation injury mitigation, and the physiological effects of extreme conditions. He has contributed to studies involving nitrogen kinetics tracking using PET imaging, hyperbaric oxygen therapy, and robotic surgery applications. Awards: Young Investigator Award (2023), Art of Science Contest 1st Prize (2024), Australia Space Biology Summit 1st Place (2022), and Sporting Blue (Auckland University of Technology). Associations: The Physiological Society and American Physiological Society. His work integrates clinical trials, statistical research design, and translational approaches to address challenges in environmental health, cardiovascular disease, and healthy ageing. Current projects aim to optimize thermal tolerance strategies for military and occupational settings.
Heather A. Jones, Ph.D., serves as Associate Professor in the Department of Psychology within Virginia Commonwealth University's College of Humanities and Sciences, holding joint appointments with the Department of African American Studies, Department of Pediatrics, and Institute for Women's Health. As a licensed clinical psychologist in Virginia, she maintains an active research program focused on reducing mental health disparities through culturally responsive interventions. Ph.D. in Psychology, University of Maryland at College Park (2006) Dr. Jones' research centers on three interconnected pillars: Black children and families' mental health, maternal mental health across the perinatal spectrum, and training culturally competent clinical psychologists. Her work specifically examines ADHD manifestations in Black youth, impacts of racial discrimination on adolescent mental health, and integration of behavioral health services within primary care settings. She employs mixed-methods approaches to address systemic barriers in mental healthcare access for underserved communities. Analysis of her 2023-2025 publications reveals consistent emphasis on health equity through studies of cultural competence in cancer survivorship, ADHD treatment representation gaps, and digital interventions for perinatal depression. Her methodological approaches span latent class analyses of service utilization, content analyses of historical research biases, and clinical trials of integrated care models, all contextualized within structural determinants of health. Dr. Jones has received significant recognition for her contributions: VCU College of Humanities and Sciences Distinguished Teaching Award (2023) VCU Department of Psychology Outstanding Mentoring Award (2023) Elizabeth Fries Young Investigator Award (2016) Clinical and Translational Research Award (2016) She actively mentors students, particularly supporting Black graduate trainees in pediatric psychology as evidenced by numerous student co-authorships. As Principal Investigator, she directs the $1.4M HRSA-funded Primary Care Psychology Training Collaborative providing pro bono services to urban Richmond and rural Virginia communities, recently expanded through an additional $1.1M grant serving Latinx immigrants and refugees. Her federally funded work consistently bridges research, clinical service, and community engagement. Dr. Jones co-directs the Families and Mental Health Research Lab and Primary Care Psychology Training Collaborative, leading interdisciplinary teams comprising psychology graduate students, pediatric residents, and community health workers. These initiatives operate within VCU's integrated primary care clinics, focusing on implementation science to scale evidence-based practices for underserved populations while training the next generation of healthcare providers.
