جستجوی استاد راهنمای دانشگاهی

Daniel Epstein is an Associate Professor in the Department of Informatics at the University of California, Irvine (UCI), where he leads the Personal Informatics Everyday (PIE) Lab. He holds a courtesy appointment in the Department of Computer Science and is affiliated with the Connected Learning Lab, Institute for Future Health, and Accessibility Research Collective. Epstein earned his Ph.D. in Computer Science & Engineering from the University of Washington and a B.S. in Computer Science from the University of Virginia. His research focuses on how personal tracking technology can better serve diverse users' needs, emphasizing ethical design, health equity, and long-term user engagement. Notable areas include pregnancy tracking, wearable technology for children and ADHD management, and AI-driven health chatbots. Epstein has received grants from NSF, Snap Inc., and UCI programs, totaling over $650k in funding. Epstein's work bridges HCI and health informatics, with over 60 peer-reviewed publications. He advises six Ph.D. students and has mentored numerous undergraduates. Awards include the ACM Senior Member distinction (2025), CHI Best Paper (2023), and NSF CAREER Award (2023). Professional service includes program committees for CHI, CSCW, and UbiComp, plus leadership roles in workshops like the Workgroup on Interactive Systems in Healthcare (WISH). Beyond academia, Epstein enjoys hiking, collecting turtle figures, and advocating for accessible technology.

• Human-Computer Interaction
• Ubiquitous Computing
• Social Computing
• +۶ مورد دیگر

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Dr. Melanie Franklin is a pediatric psychologist at Children's Hospital of Philadelphia with expertise in sleep disorders, treatment adherence, and pediatric psychology. She operates within the Department of Child and Adolescent Psychiatry and Behavioral Sciences and collaborates across multiple teams. BA in Psychology – Muhlenberg College PhD in School Psychology – Lehigh University Residency and Fellowship in Pediatric Psychology – Nemours/A.I. DuPont Children’s Hospital Her research focuses on: Sleep behavior in chronic illness populations Mental health communication barriers ADHD functional outcomes Treatment adherence strategies Recent publications demonstrate expertise in ADHD comorbidities , Cystic Fibrosis sleep interventions , and academic functioning analysis . Key collaborations include: Psychiatry and Behavioral Sciences Sleep Center Pulmonary and Sleep Medicine Division

• Sleep
• Treatment Adherence
• Pediatric Psychology
• +۲ مورد دیگر

Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .

• Strategy
• Management
• Organisational Behaviour
• +۱۰ مورد دیگر

Dr. Tobias Hauser is a Professor of Computational Psychiatry at the University of Tübingen, Germany, and a Group Leader at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research. His research spans clinical neuroscience, developmental psychiatry, and computational modeling, focusing on the neurocognitive mechanisms underlying psychiatric disorders like OCD and ADHD. MSc in Psychology (2010), University of Zurich PhD in Psychology (2014), University of Zurich Hauser's work employs a translational approach, integrating clinical, pharmacological, and basic neuroscience to characterize neural network deficiencies in mental health. His developmental perspective investigates how psychiatric symptoms emerge through deviations from canonical brain development trajectories. Recent publications highlight his focus on dopaminergic midbrain activity, frontostriatal myelination, and computational mechanisms of decision-making. These studies utilize techniques like fMRI, EEG, and computational modeling to explore compulsivity, impulsivity, and developmental neurocognitive processes. Sir Henry Dale Fellowship (Wellcome Trust & Royal Society) Research Fellowship (Jacobs Foundation) Kramer-Pollnow Award for ADHD research Hauser leads the Developmental Computational Psychiatry Group and co-founded the Brain Explorer app, a citizen science project investigating brain development and mental health. He actively seeks PostDocs and PhD students for collaborative research in computational psychiatry and cognitive neuroscience.

• Developmental Computational Psychiatry
• Neurocognitive Development
• Decision-Making Mechanisms
• +۳ مورد دیگر

Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and Cornell University, affiliated with the Information Science Department and Technion’s Computer Science Department. Her research focuses on accessibility innovations in emerging technologies, particularly addressing needs of people with vision impairments and neurodiverse populations. She holds a PhD from the University of Washington, advised by Richard Ladner and Jacob Wobbrock, and has been recognized with prestigious awards including the NSF Graduate Research Fellowship. Education: PhD in Computer Science & Engineering from University of Washington (advisors: Richard Ladner, Jacob Wobbrock). Research interests include VR/AR accessibility, assistive technology design, inclusive education tools, and ethical AI applications. Current projects explore social VR avatars for invisible disabilities, AR navigation aids, and AI moderation systems against ableist hate speech. Her work is funded by NSF, AOL, Verizon, and Facebook. Recent publications address video accessibility for ADHD users, AI-driven scene descriptions for blind users, and tactile learning materials co-designed with educators. She leads the XR Access initiative promoting inclusive virtual/augmented reality. Awards include the UW Graduate Medal (2020), NSF CRII Award (2017), and AT&T Labs Fellowship (2014). Her research bridges academic innovation with industry impact through collaborations with tech companies and disability advocacy groups.

• Accessibility
• Human-Computer Interaction
• Assistive Technology
• +۵ مورد دیگر

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +۱ مورد دیگر

Jan Grimell is an Associate Professor and Senior Lecturer at the Department of Sociology, Umeå University. His research focuses on military chaplaincy, veterans' mental health, and identity formation, combining sociological and religious perspectives. He is affiliated with the research groups Sociology of Organizations, Sociology of Religion, and Sociology of Work. Key research themes include Moral Injury, PTSD, and the transition challenges veterans face when leaving military service. His work explores existential and spiritual dimensions of health, identity reconstruction, and the role of chaplaincy in armed forces and healthcare settings. Recent projects include studies on Ukrainian military chaplaincy during the Russia-Ukraine war, the impact of moral injury among healthcare providers during the pandemic, and the long-term identity struggles of Swedish veterans. His publications span journals like Frontiers in Sociology , Journal of Pastoral Care & Counseling , and Health and Social Care Chaplaincy , with a focus on interdisciplinary approaches linking social psychology, medical sociology, and religious studies.

• Military Chaplaincy
• Veterans' Health
• Mental Health
• +۷ مورد دیگر

Kathryn Roeder is the UPMC University Professor of Statistics and Life Sciences at Carnegie Mellon University (CMU), affiliated with the Dietrich College of Humanities and Social Sciences and the Departments of Statistics & Data Science and Computational Biology. Her research focuses on developing statistical methods for genetic and genomic data, particularly in identifying autism risk genes and analyzing single-cell multi-omic data. She earned her Ph.D. in Statistics from Penn State University and has been at CMU since 1994, previously serving as Vice Provost for Faculty (2015–2019). Education: Ph.D. in Statistics, Penn State University (1988) B.S. in Wildlife Resources, University of Idaho (1982) Research Interests: Her work integrates modern statistical techniques (high-dimensional statistics, machine learning, networks) to study complex diseases like autism and schizophrenia. Recent efforts include tools for analyzing single-cell RNA-seq and proteomic data, such as UNICORN, DAWN, and SCEPTRE. Key Awards: COPSS Distinguished Achievement Award (2020) National Academy of Sciences Member (2019) COPSS Presidents’ Award (1997) AAAS Fellow (2020) Advising & Grants: She has advised over 20 Ph.D. students, many contributing to landmark studies in autism genetics. Her grants include NIH funding for projects like the Autism Sequencing Consortium. Current research teams focus on computational biology and statistical genetics. Labs & Collaborations: Her lab develops software tools (e.g., TADA, MIND) and collaborates with the Autism Sequencing Consortium and iPSYCH-BROAD Consortium on large-scale genomic studies.

• Statistical Genetics
• Genomics
• Biostatistics
• +۵ مورد دیگر

Martha Ann Bell is a University Distinguished Professor of Psychology and College of Science Faculty Fellow at Virginia Tech. She leads the Cognition, Affect, and Psychophysiology (CAP) Lab, focusing on developmental cognitive neuroscience and the integration of emotion and cognition in early development. Her work examines EEG/ECG biomarkers, executive function, temperament, and maternal-child interactions. Dr. Bell holds a PhD in Human Development from the University of Maryland (1992), an MS in Child and Family Studies from the University of Tennessee (1983), and a BS in Home Economics from Carson-Newman College (1978). She has held progressive roles from Assistant Professor (1996) to her current distinguished title. Her research interests include developmental changes in brain-behavior relations, neurophysiological correlates of emotion regulation, and longitudinal predictors of child development. Recent work explores maternal emotion coaching, EEG neuromarkers of ADHD, and the neurodevelopmental impacts of nutrition. Key awards include the Virginia Tech University Distinguished Professorship (2021) and College of Science Faculty Fellowship (2019–2025). Her publications span developmental psychobiology, neuroimaging methods, and temperament-behavior links. Dr. Bell’s advising and grants focus on interdisciplinary developmental science. The CAP Lab collaborates on projects involving infant neuroimaging, maternal-child physiology, and early childhood interventions.

• Developmental Cognitive Neuroscience
• Developmental Psychophysiology
• Executive Function
• +۴ مورد دیگر

Lauren A. Delisio is an Associate Professor of Special Education at Rider University's Department of Teacher Education. She has taught graduate and undergraduate courses in special education, inclusive practices, and assistive technology since 2015. Ph.D. in Exceptional Student Education (2015, University of Central Florida) Graduate Certificate in Autism Spectrum Disorders (2012, University of Central Florida) M.S. in Teaching (2005, Pace University) B.A. in Communications (2000, Rider University) Her research focuses on universal design for learning (UDL) , assistive technology , and inclusive education practices for students with autism spectrum disorders (ASD), attention deficit hyperactivity disorder (ADHD), and intellectual disabilities. She has explored trauma-informed instruction, STEM accessibility, and evidence-based practices in inclusive classrooms. Her recent publications analyze UDL implementation, video prompting for independence, and pandemic impacts on inclusive education. She has received grants through the Department of Education's Office of Special Education Programs (OSEP) for Project LEAD and served as a doctoral intern with OSEP. Delisio has contributed to STEM research via video game integration for students with disabilities and supported alumni engagement through data collection. She collaborates with service providers, universities, and policymakers to improve educational outcomes for neurodiverse learners.

• Special Education
• Inclusive Education
• Autism Spectrum Disorders
• +۵ مورد دیگر

Pinar Keskinocak serves as the H. Milton and Carolyn J. Stewart School Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. She co-founded and directs the Center for Health and Humanitarian Systems, demonstrating leadership in both academic administration and research innovation. Her career includes prior roles as College of Engineering ADVANCE Professor and interim associate dean for faculty development, alongside industry experience at IBM T.J. Watson Research Center. Her educational foundation includes a Ph.D. in Operations Research from Carnegie Mellon University and M.S. and B.S. degrees in Industrial Engineering from Bilkent University. This rigorous training underpins her interdisciplinary approach to complex societal challenges. Dr. Keskinocak's research pioneers operations research applications for societal impact , with dual emphases on health systems and humanitarian logistics . She develops advanced models for infectious disease dynamics (including COVID-19, malaria, and Guinea worm), vaccination strategies, disaster response, and supply chain optimization. Her work uniquely bridges engineering analytics with real-world implementation through partnerships with the CDC, American Red Cross, Carter Center, and Children's Healthcare of Atlanta. Analysis of her 2023-2025 publications reveals intensifying focus on eradication program modeling for polio and Guinea worm, with increasing integration of machine learning for predictive accuracy in vaccine distribution. A pronounced trend addresses health equity through targeted interventions for under-immunized populations in Sub-Saharan Africa, emphasizing resource allocation under constraints and cross-border coordination challenges. Her scientific recognition includes: INFORMS Fellow (2015) NSF CAREER Award (2001) Outstanding Professional Education Award, Georgia Tech (2018) Denning Award for Global Engagement, Georgia Tech (2016) Women in Engineering Excellence Teaching Award (2005) Moving Spirit Award, INFORMS (2005) Dr. Keskinocak has secured extensive project funding through collaborations with federal agencies and NGOs, directing research on pandemic response systems, vaccine logistics, and disaster debris management. While specific advisees aren't publicly cataloged, her leadership in the Center for Health and Humanitarian Systems mentors numerous graduate researchers through interdisciplinary projects. She significantly influences national policy via National Academies committees addressing supply chain resilience and vaccine distribution infrastructure. The Center for Health and Humanitarian Systems operates as a dynamic hub where engineering rigor meets humanitarian action, coordinating multi-institutional teams to develop deployable solutions for global health crises and disaster response systems.

• Health Systems
• Humanitarian Systems
• Supply Chain Management
• +۵ مورد دیگر

Erik Willcutt is a Professor in the Department of Psychology and Neuroscience at the University of Colorado Boulder. His research focuses on the genetic and neurobehavioral underpinnings of ADHD, learning disabilities, and developmental psychopathologies. He holds positions at the Institute for Behavioral Genetics and the Center for Neuroscience. Education: PhD in Psychology from the University of Denver (1998). Research Interests: Etiology and assessment of ADHD, reading disabilities, and developmental psychopathologies. His work integrates behavioral genetics, neuroimaging, and longitudinal twin studies to understand cognitive and psychiatric disorders. Key topics include neuroanatomical correlates of ADHD, genetic influences on dyslexia, and comorbidity between learning disabilities and psychiatric conditions. Publications highlight advanced methods like genome-wide association studies (GWAS) and phenotype harmonization (e.g., Rosetta method). His work bridges molecular genetics with clinical psychology, emphasizing translational research. Lab/Affiliations: Active in the Institute for Behavioral Genetics and collaborates with interdisciplinary teams studying neurodevelopmental disorders. Office located at Muenzinger D451B.

• Behavioral Genetics
• Psychiatric Genetics
• ADHD Etiology
• +۳ مورد دیگر

Qimin Liu is an Assistant Professor at Boston University, serving as Lab Director of the Quantitative Psychopathology Laboratory. He holds a PhD in Psychological Sciences from Vanderbilt University with specializations in Clinical Science and Quantitative Methods. His research focuses on emotional disturbances across development, statistical methodology development, and health equity with an emphasis on intersectional marginalization. He has expertise in analyzing intensive longitudinal data and has published extensively on topics like irritability, suicidality, and mental health disparities among sexual and gender minority populations. Dr. Liu’s work frequently integrates advanced statistical techniques such as latent variable modeling, network analysis, and machine learning. His recent studies explore the temporal dynamics of affect, the impact of stigma on mental health, and the role of childhood adversity in psychiatric outcomes. Notable contributions include developing methods for analyzing zero-inflated longitudinal data and creating algorithms for digital phenotyping of mood disorders through mobile device usage patterns. His scholarship emphasizes bridging clinical phenomena with rigorous quantitative approaches, addressing gaps in understanding how social determinants and individual differences shape mental health trajectories. He has collaborated on large-scale datasets like the Collaborative Psychiatric Epidemiological Surveys and contributed to interdisciplinary research on public health outcomes among aging sexual minority men. Dr. Liu’s methodological innovations include the DACF framework for ceiling/floor effect data and the lamme package for log-analytic multiplicative effects modeling. He actively publishes in high-impact journals such as Psychological Methods and Journal of Abnormal Psychology , focusing on both empirical findings and statistical best practices.

• Psychological Sciences
• Quantitative Methods
• Clinical Science
• +۴ مورد دیگر

Sarah Woolf-King is an Assistant Adjunct Professor in the Department of Medicine at the University of California, San Francisco (UCSF), School of Medicine. She is a licensed clinical psychologist (CA PSY28178) whose research bridges psychology and health, with a strong focus on substance use, HIV, and mental health in families affected by congenital heart defects. Her educational background includes a B.S. in Psychology from Arizona State University (2002), an M.S./Ph.D. in Clinical Psychology from Syracuse University (2010), an M.P.H. in Epidemiology from UC Berkeley (2011), a clinical internship in Behavioral Medicine at VA Palo Alto (2010), and a T32 Postdoctoral Fellowship at UCSF’s Center for AIDS Prevention Studies (2013). Dr. Woolf-King’s research centers on two primary areas: (1) the impact of alcohol use on HIV treatment and prevention, particularly among HIV-positive men who have sex with men (MSM) and in East African populations, and (2) the mental health needs of parents of children with critical congenital heart defects (CHD). Her work employs diverse methodologies, including daily data collection, qualitative interviews, randomized trials, and biomarker validation (e.g., PEth). She aims to develop integrated behavioral interventions to improve health outcomes for individuals and families coping with chronic illness. Her recent publications (2023–2025) reflect a consistent focus on alcohol use in the context of HIV, with studies on counseling interventions, digital screening, remote biomarker collection, and behavioral mechanisms. There is also growing attention to mental health in vulnerable populations, including college students and parents of children with genetic or cardiac conditions. Her work is increasingly interdisciplinary, combining psychology, epidemiology, public health, and global health. Scientific Awards: Hellman Fellow, Hellman Fellows Fund (2015–2017) Mentored Research Scientist Development Award (K01), NIH/NIAAA (2013–2018) Loan Repayment Program in Clinical Research, NIH/NIAAA (2011–2016) Ruth L. Kirschstein National Research Service Award (F31), NIH/NIAAA (2008–2010) Mentored Scientist Award in HIV/AIDS, UCSF CFAR (2012–2014) Dr. Woolf-King has served as Principal Investigator on NIH-funded projects, including an R34 grant for a brief ACT intervention for HIV-positive hazardous drinkers and a K01 grant on alcohol and sexual risk behavior. She collaborates extensively with researchers at UCSF and in East Africa, particularly Uganda. While her adjunct title suggests a part-time or non-tenure-track role, she maintains an active research program with significant grant support and a robust publication record. There is no indication of retirement or former staff status.

• Clinical Psychology
• HIV/AIDS
• Substance Use
• +۹ مورد دیگر