جستجوی استاد راهنمای دانشگاهی

• Organizational Behavior
• Behavioral Ethics
• Ethical Leadership
• +۷ مورد دیگر

David Welsh is a Professor in the Department of Management and Entrepreneurship at Arizona State University's W. P. Carey School of Business, specializing in workplace ethics, unethical behavior, and organizational dynamics. His research has been published in top-tier journals and featured in mainstream media. Ph.D. in Management (University of Arizona, 2014) J.D. (University of Utah, 2010) B.S. in Management (Southern Utah University, 2007) His research focuses on behavioral ethics , ethical decision-making , and self-regulation , examining how performance goals, leadership styles, and social influences affect workplace morality. Recent work explores prosocial behaviors like voice and organizational citizenship alongside unethical transgressions. Welsh's articles reveal trends linking ethical leadership to dual outcomes of organizational effectiveness and unintended deviance, goal-setting to depletion and unethicality, and social dynamics to peer-driven moral behavior. His studies often employ field experiments and experience sampling methodology. Ascendant Scholar award (Western Academy of Management, 2019) W. P. Carey Dean's Mid-Career Research award (2022) Outstanding Practical Implications for Management Paper award (2021) Professional MBA Faculty Excellence award (2022) At ASU, Welsh mentors doctoral students, serves on PhD committees, and manages the Management Department Behavioral Lab. He is an Associate Editor at Personnel Psychology and teaches graduate courses on research, ethics, and dissertation advising.

Joydeep Biswasمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Long-term autonomy
• +۵ مورد دیگر

Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.

Abigail Scholerمشاهده پروفایل

استاد

• Self-Regulation
• Motivation
• Decision-Making
• +۳ مورد دیگر

Abigail Scholer is a Professor specializing in self-regulation and motivation. Her research explores how motivational orientations influence decision-making, self-control conflicts, and adaptive change. She holds a BA from Gettysburg College and a PhD from Columbia University. Her work bridges educational, social, and cognitive psychology, with a focus on understanding the mechanisms behind human triumphs and failures in facing life's demands. Key research themes include metamotivational processes, goal pursuit dynamics, and the interplay between motivation and emotional regulation. Her lab, the Self-Regulation and Motivation Lab , investigates practical applications of these theories in academic and organizational settings. Publications span topics like motivational affordance, risk preferences, and the impact of threat on stereotyping. While no awards are listed, her contributions to motivational science are reflected in high-impact journals such as Journal of Personality and Social Psychology and Psychological Science . No advising or grant details are provided, though her lab's activities suggest active research participation.

• Cognitive Robotics
• Developmental Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Tetsuya Ogata is a Professor at the Faculty of Science and Engineering, School of Fundamental Science and Engineering at Waseda University. He also holds joint appointments as a Fellow at the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), and as a visiting professor at the National Institute of Informatics (NII). Professor Ogata serves as director of the Institute of AI and Robotics at Waseda University, chairperson of the AI Robot Association (AIRoA), and research supervisor of JST CREST "Fundamentals and Core Technologies for Embodied AI" since 2025. Professor Ogata received his B.S., M.S., and D.E. degrees in mechanical engineering from Waseda University in 1993, 1995, and 2000, respectively. He began his academic career as a Research Associate at Waseda University (1999-2001), followed by positions as a Research Scientist at RIKEN Brain Science Institute (2001-2003), Lecturer (2003-2005) and Associate Professor (2005-2012) at Kyoto University's Graduate School of Informatics, before becoming a Professor at Waseda University in 2012. He was also a JST PRESTO Researcher from 2009 to 2015. Professor Ogata's research focuses on cognitive developmental robotics, deep predictive learning, and the integration of vision, language, and action (VLA) for human-robot interaction. His work explores how robots can learn through experience and interaction with humans and environments, developing models that allow for flexible behavior generation and adaptation. His research has significant implications for creating robots that can understand human intentions, collaborate effectively in real-world settings, and continuously learn from their experiences. The integration of multimodal information processing with predictive models forms the core of his approach to embodied artificial intelligence. Analysis of Professor Ogata's recent publications reveals a strong focus on deep predictive learning frameworks that enable robots to anticipate future states and generate appropriate actions. His research spans multiple domains including soft object manipulation, bimanual coordination, transparent object grasping, and integration of large language models with robotic systems. A notable trend is the increasing emphasis on multimodal integration, combining visual, tactile, and linguistic information to create more robust and adaptable robotic systems. His recent work also shows growing interest in the application of foundation models to robotics, aiming to create more general-purpose robotic capabilities. Best Paper Award, Advanced Robotics, The Robotics Society of Japan (2024) Best paper award Nomination Finalist, IEEE/SICE International Symposium on System Integration (2024) Frontiers of Science Awards, The International Congress for Basic Science (2023) Minister of Education, Culture, Sports, Science and Technology Award (2023) Fellow, Japan Society of Mechanical Engineering (2023) Fellow, The Society of Instrument and Control Engineers (2022) Fellow, The Robotics Society of Japan (2022) IBM Academic Awards (2017) Professor Ogata has been instrumental in establishing collaborative research frameworks between academia and industry, serving in leadership roles for multiple professional organizations including the Robotics Society of Japan, Japanese Society for Artificial Intelligence, and Japan Deep Learning Association. His research has been supported by significant grants including JST CREST funding for "Fundamentals and Core Technologies for Embodied AI." He has mentored numerous researchers who have gone on to contribute to the field of robotics and AI, with many of his former students now holding positions in leading academic and industrial research institutions. Professor Ogata directs the Ogata Laboratory at Waseda University, which focuses on cognitive developmental robotics and deep predictive learning. The lab maintains strong collaborations with industry partners including major robotics companies and technology firms. In 2025, he played a key role in establishing the AI Robot Association (AIRoA), which brings together companies like Toyota, Nissan, and KDDI to advance the development of practical AI robotics technologies. His research group is known for its interdisciplinary approach, combining insights from neuroscience, cognitive science, and engineering to create more human-like robotic capabilities.

• 3D Computer Vision
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Kwang Moo Yi is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), where he conducts research in computer vision and machine learning. He is affiliated with the Computer Vision Lab, CAIDA (Centre for Artificial Intelligence Decision-making and Action), and ICICS (Institute for Computing, Information and Cognitive Systems) at UBC. Education: B.Sc. from Seoul National University Ph.D. from Seoul National University under Prof. Jin Young Choi Post-doctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL) with Prof. Pascal Fua and Prof. Vincent Lepetit Dr. Yi's research focuses on Visual Geometry with the goal of understanding local environments, adapting to them, and acting within them. His work spans applications in autonomous vehicles, drones, robots, and Augmented/Mixed Reality systems. He employs machine learning, particularly deep learning, as the primary tool for advancing computer vision capabilities. His recent publications demonstrate a strong focus on neural rendering techniques, especially 3D Gaussian Splatting and Neural Radiance Fields (NeRF). The research trends show increasing sophistication in handling occlusions, improving rendering quality, and developing more efficient training methods for neural fields. There's also significant work connecting computer vision with practical applications in industrial settings and energy systems. Dr. Yi serves as an area chair for top computer vision and machine learning conferences including CVPR, ICCV, ECCV, NeurIPS, ICML, and AAAI. He was part of the organizing committee for CVPR 2023. He supervises graduate students including Eric (who recently completed his PhD), Gopal (now at Samsung Research), and Jeong-Gi (joining as a postdoctoral fellow). His teaching includes CPSC 425: Computer Vision and CPSC 533Y: 3D Computer Vision with Deep Learning. Dr. Yi is actively involved with the Computer Vision Lab at UBC, collaborating with researchers across CAIDA and ICICS. His work bridges theoretical computer vision with practical applications in various domains including astronomy, industrial automation, and energy systems.

Rick Hoyleمشاهده پروفایل

استاد

• Self-Regulation
• Adolescent Development
• Goal Pursuit
• +۵ مورد دیگر

Rick Hoyle is a Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Chair of the Department of Psychology and Neuroscience. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His academic career spans decades, with significant contributions to understanding self-regulation and adolescent development. Dr. Hoyle earned his B.A. from Appalachian State University (1983), followed by an M.A. (1986) and Ph.D. (1988) from the University of North Carolina, Chapel Hill. He progressed from Assistant to Associate to Full Professor at the University of Kentucky from 1989 to 2003 before joining Duke University. His research focuses on how adolescents and emerging adults manage goal pursuit through self-regulation, taking a broad view that accounts for personality, environment, cognition, emotion, and social influences. He employs longitudinal methods with repeated assessments, sometimes spanning years with data collection multiple times per year, or intensive studies with assessments several times daily. His lab develops innovative measurement tools including self-report measures of self-control and grit, as well as unobtrusive approaches using mobile phones and wearable devices to track goal pursuit in natural settings. His recent publications reveal a strong focus on self-regulation in digital contexts, adolescent substance use, socioeconomic influences on development, and innovative measurement approaches. His work increasingly integrates technology (social media analysis, wearable devices) with traditional psychological research methods to understand real-world behavior. Fellow, Association for Psychological Science (2013) Dr. Hoyle has secured numerous research grants totaling millions of dollars, including the current Real-Time and Randomized Tests of Social Media and Mental Health Links in Early Adolescence (2024-2029), NCCU Duke - Substance Use Research & Education (2024-2029), and Mid-Life Health Inequalities in the Rural South: Risk and Resilience (2023-2028). His grant portfolio demonstrates sustained funding for research on adolescent development, substance use, self-regulation, and health disparities. He teaches advanced courses including Applied Structural Equation Modeling and Psychology and Neuroscience Grant Writing, mentoring the next generation of researchers in quantitative methods and research design. His work through the Center for the Study of Adolescent Risk and Resilience (2008-2025) has established a significant research infrastructure for longitudinal studies of adolescent development. Current projects examine social media effects on mental health, substance use patterns, and the impact of environmental factors on adolescent well-being using innovative digital tracking methods.

Henry Hoffmannمشاهده پروفایل

استاد

• Self-aware & Adaptive Computing
• Computer Systems
• Computer Architecture
• +۶ مورد دیگر

Henry Hoffmann is a Professor and Liew Family Chair in the Department of Computer Science at the University of Chicago. His research focuses on self-aware computing systems that adapt to meet goals like power efficiency, performance, and security. He leads the SEEC project and has contributed to advancements in computer architecture, embedded systems, and quantum computing. Hoffmann received the PECASE (2019), DOE Early Career Award (2015), and was inducted into the Samsung Hall of Fame for discovering vulnerabilities in SmartTVs. He holds a PhD from MIT (2013) and has co-founded Config Dynamics (2019). His work bridges control theory, machine learning, and traditional computer systems to create adaptive solutions for modern computing challenges. Education: PhD in Electrical Engineering and Computer Science from MIT (2013), SM (2003), and B.S. (1999) with highest honors from UNC Chapel Hill. Professional experience includes roles at Tilera Corporation and MIT Lincoln Laboratory. Research Interests: Self-aware systems, adaptive resource management, quantum computing optimization, and cybersecurity. His SEEC framework enables systems to autonomously adapt to constraints like energy and performance. Recent work explores applying adaptive techniques to AI/ML models for energy-efficient inference and security. Awards: Over $19M in research funding, 100+ publications, and leadership roles in NSF Expedition EPiQC (quantum computing). Named Chair of UChicago CS Department (2023-2024). Labs/Teams: Systems Group, EPiQC (quantum computing), and CERES (unstoppable computing systems). Current students include Jerry Ding and Ryien Hosseini. Notable alumni include Yi Ding (now faculty at Purdue) and Nikita Mishra.

Ravi Dharمشاهده پروفایل

استاد

• Consumer Behavior
• Branding
• Marketing Strategy
• +۴ مورد دیگر

Ravi Dhar is the George Rogers Clark Professor at the Yale School of Management and holds an affiliated appointment as a Professor of Psychology at Yale University. He serves as Director of the Center for Customer Insights , focusing on consumer behavior, branding, and marketing strategy through psychological and economic frameworks. Ph.D. in Marketing, University of California at Berkeley (1992) MS, University of California at Berkeley (1990) MBA, Indian Institute of Management (1987) BTech, Indian Institute of Technology (1986) His research examines preference formation, self-regulation, and the interplay of conflicting goals in consumer decisions. Recent work explores sustainability, mobile commerce, and how guilt paradoxically enhances consumer pleasure. He has published over 50 articles and advised Fortune 100 companies across industries. Key trends in his publications include behavioral economics , eco-conscious consumption , and technology-mediated decisions . His studies address choice overload, goal systems, and the psychological drivers of indulgence versus self-control. Distinguished Scientific Contribution Award (Society for Consumer Psychology, 2012) Yale SOM Alumni Teaching Award (2012) William O'Dell Award Finalist (2004, 2008, 2012) AMA Doctoral Consortium Fellow (1991) Dhar consults firms on customer insights and has held visiting roles at HEC Paris , Erasmus University , and Stanford/NYU . He edits top journals like Journal of Consumer Research and Marketing Science , shaping academic and industry discourse.

Tammy Englishمشاهده پروفایل

دانشیار

• Emotion Regulation
• Social Psychology
• Personality Psychology
• +۱۲ مورد دیگر

Tammy English is an Associate Professor in the Department of Psychological & Brain Sciences at Washington University in St. Louis, where she leads the Emotion and Relationships Laboratory. Her research investigates how individuals regulate emotions in real-world social contexts, with a focus on authenticity, interpersonal dynamics, and well-being across the lifespan. PhD, University of California, Berkeley MA, University of California, Berkeley BA, Swarthmore College Her research interests span emotion regulation , social psychology , affective science , interpersonal relationships , and developmental psychology , with increasing emphasis on aging, cognitive factors, and diversity in educational contexts. She employs intensive longitudinal methods such as experience sampling and ambulatory assessment to capture emotional dynamics in daily life. The most recent publications highlight trends in emotion regulation across adulthood , particularly how cognitive abilities, authenticity, and situational context influence regulatory success. Her work explores both intrapersonal and interpersonal emotion regulation, including its role in romantic relationships, intergroup interactions, and mental health conditions like depression. There is a strong methodological focus on ecological validity, momentary assessment, and distinguishing adaptive from maladaptive regulation. APS Fellow (2022) Tenured faculty (2019) Recipient of multiple NIA grants, including R01AG070139 Mentor to award-winning students (ExpiWell Dissertation Award, SPSP Heritage Award) Dr. English has advised numerous graduate students and postdoctoral researchers, including Tabea Springstein and Isidro Landa, and has secured significant grant funding from the National Institute on Aging to study the neural and motivational underpinnings of emotion regulation across the lifespan. Her lab collaborates widely, including with the Emotion and Mental Health Lab, and presents regularly at premier conferences such as the Society for Affective Science and the Association for Psychological Science. The Emotion and Relationships Lab conducts cutting-edge research on how people manage emotions in social contexts across adulthood, with special attention to aging, cognitive health, and educational equity. The lab uses mobile sensing, experience sampling, and experimental designs to study emotion regulation in real time and real-world settings.

Mark Thompsonمشاهده پروفایل

مدرس ارشد

• Sport Psychology
• Performance Psychology
• Doping Propensity in Athletes
• +۴ مورد دیگر

Dr. Mark Thompson is a Senior Lecturer in Psychology and Researcher of Sport Psychology at London Metropolitan University's School of Social Sciences and Professions. He holds a PhD from the University of Hull and is a Fellow of the Higher Education Academy (FHEA). His academic work bridges sport psychology, healthcare rehabilitation, and youth athlete development. Dr. Thompson's education includes a PhD in Psychology from the University of Hull. His research focuses on emotional processes in elite athletes, doping propensity in youth sports, and post-COVID-19 patient rehabilitation. Notable projects include NHS-funded studies on telerehabilitation and collaborations with the International Olympic Committee and World Anti-Doping Agency. Research Interests: Psychophysiological responses to stress in sports Emotional regulation strategies among athletes Anti-doping education and youth athlete behavior Telehealth applications in post-hospitalization recovery His publications emphasize qualitative methodologies, exploring topics like athlete performance under stress, doping prevention programs, and healthcare professional perspectives on self-management approaches. Awards: Fellow of the Higher Education Academy (FHEA). Dr. Thompson has delivered presentations at major conferences such as the American College of Sports Medicine and contributed to media discussions on doping in elite sport via LoveSport Radio. His teaching spans foundational psychology to advanced modules like cognition and behavior, often serving as module leader.

Tracy Eptonمشاهده پروفایل

مدرس ارشد

• Health Psychology
• Health Behavior Change
• Behavioral Intervention Research
• +۳ مورد دیگر

Tracy Epton is a Senior Lecturer at the Division of Psychology & Mental Health, University of Manchester, and a member of the Manchester Centre for Health Psychology. She holds a PhD from the University of Sheffield (2009) and specializes in health psychology, focusing on behavior change interventions and their implementation through randomized controlled trials and systematic reviews. Her roles include Communications Lead for the British Psychological Society’s Division of Health Psychology and membership in the Division’s Training Committee. Education: PhD in Psychology (University of Sheffield, 2009), Postgraduate Certificate in Higher Education (2009), MSc in Psychological Research Methods (2006), and BSc in Psychology (2005). She teaches courses in health psychology at both undergraduate and postgraduate levels, including modules on health behavior change and research methodologies. Research interests center on the effectiveness of behavior change techniques, particularly in clinical and public health settings. She leads projects such as the Manchester Centre for Health Psychology and the Melanoma Prevention initiative. Her work contributes to UN Sustainable Development Goals related to health and well-being. Key projects include evaluating interventions to reduce alcohol consumption in university students and exploring barriers to healthcare professional delivery of behavior change advice. She has authored over 60 publications, emphasizing systematic reviews, meta-analyses, and intervention trials. Media contributions include blogs on goal-setting and self-affirmation in health behavior change. Professional memberships include the British Psychological Society (Chartered Member), European Health Psychology Society, and Fellow of the Higher Education Academy.

• Marketing Strategy
• Pricing Strategy
• Advertising Strategy
• +۳ مورد دیگر

Wilfred Amaldoss is the Thomas A. Finch Jr. Professor of Marketing at Duke University's Fuqua School of Business. He holds a Ph.D. in Marketing from the Wharton School (University of Pennsylvania) and an MBA from the Indian Institute of Management, Ahmedabad. Previously, he taught at Purdue University's Krannert Graduate School of Management. His research focuses on strategic behavior in pricing, advertising, and competitive dynamics. Notable areas include pricing strategies for prototypical products, the impact of social influence on branding, and sponsored search advertising mechanisms. He has published in top journals like Journal of Marketing Research and Management Science . Amaldoss has received multiple awards, including the Frank M. Bass Award (2001) for exceptional Ph.D.-derived research and the John C. Little Award for outstanding marketing papers. His teaching excellence is recognized through awards such as the Duke MBA Excellence in Teaching Award (2008, 2009, 2019) and the Salgo Noren Outstanding Teacher Award (2000–2001). He serves as an Associate Editor for Management Science and Journal of Marketing Research , and has been honored with the Distinguished Service Award by Management Science (2009–2011). His work bridges theoretical contributions with practical insights into consumer behavior and strategic business decisions.

• Motivation
• Time Management
• Goal Setting
• +۳ مورد دیگر

Jordan Etkin is an Associate Professor of Marketing at Duke University’s Fuqua School of Business, specializing in studies of goal pursuit, motivation, and time management. She explores how goal structures, variety in activities, and personal quantification impact behavior and well-being. Her research bridges consumer behavior, psychology, and decision science, with frequent publications in top-tier journals like the Journal of Consumer Research and Journal of Marketing Research. Education: PhD (Year not specified, but teaches since 2013) Her research interests focus on the interplay between goals and personal resources (e.g., time), including unintended consequences of tracking behaviors like step-counting. Key themes include motivation dynamics, goal conflict resolution, and temporal resource allocation. She frequently engages with popular media, appearing in outlets like the New York Times and BBC. Recent work (2020–2024) highlights topics such as time limits paradoxically increasing consumption, variety’s role in goal conflict, and machine learning’s applications in behavioral research. Her 2019 JCR Award underscores scholarly impact. Awards: 2019 JCR Awards Announcements (Recipient) Teaching responsibilities include the Marketing Core class for Fuqua’s MBA program. While no lab teams are explicitly mentioned, her research themes suggest collaborative work in behavioral science and consumer studies.

Kathi Dielمشاهده پروفایل

دانشیار

• Social Comparison Processes
• Motivation Psychology
• Emotion and Goal Pursuit
• +۳ مورد دیگر

Dr. Kathi Diel serves as an Akademische Rätin (Academic Councilor) at Saarland University, holding a tenured faculty position equivalent to Associate Professor in the Department of Psychology within the Faculty of Social Sciences. Her research profile demonstrates active engagement in both theoretical and applied psychological research with international collaborations spanning multiple continents. Dr. Diel's research focuses primarily on social comparison processes and their motivational consequences, with particular emphasis on how comparison direction (upward vs. downward) and extremity (moderate vs. extreme standards) influence goal pursuit behaviors. Her work reveals that upward comparisons enhance self-improvement motivation when standards are moderate and attainable, but lead to goal disengagement when standards are extreme. She has developed a comprehensive motivational framework that identifies three key response patterns to social comparisons: pushing (increased effort), coasting (reduced effort), and disengagement (giving up). More recently, Dr. Diel has expanded her research to environmental psychology, investigating how social comparison dynamics affect climate action behaviors. Her work reveals that people often engage in downward comparisons regarding environmental behavior to maintain positive moral self-images, which can lead to reduced effort in climate action (coasting). She explores interventions that might shift people toward more motivating upward comparisons in environmental contexts. Her publication record shows consistent high-impact output with numerous articles in top psychology journals including Journal of Personality and Social Psychology , Personality and Social Psychology Bulletin , and Journal of Environmental Psychology . Her recent work has increasingly focused on large-scale international collaborations, most notably the International Climate Psychology Collaboration spanning 63 countries, demonstrating her growing influence in global environmental psychology research. Dr. Diel collaborates extensively with prominent researchers including Wilhelm Hofmann, Martina Friese, and the international team behind the global climate intervention studies. Her research methodology combines experimental laboratory studies with real-world intervention approaches, demonstrating both theoretical rigor and practical application. Her work bridges fundamental social psychology with pressing contemporary issues, particularly climate change behavior. By applying social comparison theory to environmental contexts, she has created a novel research trajectory that addresses how people's perceptions of others' environmental behaviors influence their own climate action efforts.

Hsiao-Wen Liaoمشاهده پروفایل

استادیار

• Autobiographical Memory
• Episodic Future Thinking
• Adult Development and Aging
• +۷ مورد دیگر

Hsiao-Wen Liao is an **Assistant Professor of Psychology** in the **Adult Development and Aging program** at the **Georgia Institute of Technology**. She holds a Ph.D. in Developmental Psychology from the University of Florida (2017) and completed postdoctoral training at Stanford University’s Center on Longevity. Her research focuses on **autobiographical memory**, **episodic future thinking**, and **meaningful aging**, leveraging **VR and NLP methods** to explore how life experiences shape adult development. She investigates how memory processes interact with sociocultural contexts to foster resilience and continuity across the lifespan. **Research Interests**: Autobiographical memory functions, cognitive aging, intergenerational connectivity, and the role of technology (VR/NLP) in memory reconstruction. Current projects examine VR applications for recollection enhancement and NLP analysis of life narratives. **Awards & Grants**: ISSI Mini Research Grant (2024), College of Sciences Travel Grant (2025), APS Travel Assistance (2025), and ImmerseGT Hackathon Best Use of Omniverse Track (2023). **Lab Members**: Supervises graduate students (DaEun Kim, Sarah Kim, Liam Hart) and collaborates with interdisciplinary teams in HCI and machine learning. Undergraduate assistants focus on neuroscience and psychology interfaces. **Lab Activities**: Janus Lab emphasizes mixed-methods approaches, combining qualitative content analysis with experimental designs. Recent projects address aging well, resilience, and technology-mediated memory interventions.