Dr. Nienke Smit is an Assistant Professor in the Department of Education at Utrecht University's Faculty of Social and Behavioural Sciences. Her research focuses on scaffolding processes, adaptive teaching, and classroom observational research from a complex dynamic systems perspective. Specializes in teacher-student interaction Expert in adaptive instruction and observational methods Collaborates with Data Science department Develops tools for classroom observation Research interests include language learning and teaching , judgment and decision-making in education , and professional development of teachers . She leads projects like Eye Get It (joint attention in classrooms) and a replication study on adaptive instruction effectiveness. Her work applies dynamic systems theory to second language development and foreign language pedagogy. Recent publications address translanguaging in multilingual classrooms, replication studies , and process-oriented research . She teaches at Utrecht's Graduate School of Teaching and works on initiatives to reduce teacher shortages through improved training programs.
Prof. Dr. Otmar Hilliges is a Full Professor at the Department of Computer Science at ETH Zurich. He leads the AIT lab and serves as the head of the Institute of Intelligent Interactive Systems. His research focuses on spatio-temporal understanding of human movement and interaction, leveraging algorithms and representations from videos, images, and sensor data for applications in Augmented Reality (AR), Virtual Reality (VR), and Human-Robot Interaction. Education: Diplom (MSc) in Computer Science, Technical University of Munich (TUM), Germany PhD in Computer Science, Ludwig Maximilian University of Munich (LMU), Germany (2009) Research Interests: Hilliges' work spans computer vision, robotics, and human-computer interaction. He develops methods for 3D human pose estimation, generative models for realistic avatar creation, and physically plausible simulation of human-object interactions. His research emphasizes practical applications in AR/VR and assistive robotics, aiming to bridge the gap between perception and action. Grants & Contributions: ERC Consolidator Grant (2022-2027): 'AI-Perceive: Robust Human-Centric Computer Vision for Advanced AI-Agents' Google Research Agreement (2020-2025): 'Generative Modelling of Humans' Microsoft Research Grants: Focus on human-centric robotics and interactive technologies Labs & Teams: Leads the AIT Lab at ETH Zurich, which pioneers research in intelligent interactive systems, emphasizing human-centric AI and robotics. The lab collaborates on projects ranging from drone cinematography to haptic feedback systems.
Kelly Layne, PhD, OTD, OTR, is a Clinical Associate Professor at the Department of Occupational Therapy within Robbins College of Health & Human Sciences at Baylor University. She plays a key role in the Baylor Doctor of Occupational Therapy program, focusing on innovative educational practices. Bachelor of Science in Biology (1998), University of Southwestern Louisiana Master of Occupational Therapy (2001), University of St. Augustine for Health Sciences Post-Professional Doctor of Occupational Therapy (2003), University of St. Augustine for Health Sciences Master of Philosophy in Education (2024) and PhD in Education (2025) with emphasis on technology and design Dr. Layne's research centers on the scholarship of teaching and learning, simulated learning, and occupational balance. Her work explores virtual debriefing in graduate health sciences education and experiential learning theory in occupational therapy. She has developed hybrid and face-to-face OT program content and co-authored a textbook chapter on these topics. Her peer-reviewed publications address education, international collaboration, and community practice in occupational therapy. She has presented nationally and internationally on innovative educational practices and holds certifications in breastfeeding and cognition. Her professional activities extend to pro-bono services for community-based organizations serving adults, older adults, individuals with mental illnesses, and breastfeeding mothers.
Sanjay Purushotham is an Assistant Professor in the Department of Information Systems at the University of Maryland Baltimore County (UMBC), with a PhD in Electrical Engineering from the University of Southern California (USC) and a postdoctoral background in Computer Science at USC's Integrated Media Systems Center (IMSC). His research focuses on machine learning, data mining, and their applications in biomedical informatics, social network analysis, and multimedia data mining. Key contributions include survival analysis models using pseudo values and federated learning frameworks for healthcare data. He has received awards including the Best Paper Award at SIGSPATIAL 2014 and a Best Poster Runnerup at SCMLS 2016. Education: PhD in Electrical Engineering (USC), Postdoc in Computer Science (USC) His work spans interdisciplinary areas such as domain adaptation for remote sensing, thermal face translation, and interpretable neural networks for medical applications. Recent projects include federated survival analysis models and climate-informatics frameworks for cloud property retrieval. He teaches courses in artificial intelligence, healthcare informatics, and statistical learning at UMBC. Research highlights include developing MedFuseNet for multimodal medical question answering and VDAM for multi-sensor cloud data analysis. His work on fair survival analysis models addresses algorithmic bias in healthcare predictions. Current grants include a NSF CAREER award for trustworthy federated learning in computational healthcare.
Dr. Laura McKee is an Assistant Professor of Counseling in the School of Counseling at Colorado Christian University's College of Adult and Graduate Studies. She is a full-time online faculty member with a strong commitment to integrating faith and learning in mental health education. Her educational background includes a Ph.D. in Counselor Education and Supervision from Grand Canyon University, an M.A. in Biblical Counseling from Dallas Theological Seminary, and a B.A. in Pastoral Ministry from Oral Roberts University. She is a Licensed Professional Counselor Supervisor in Texas. Dr. McKee's research and clinical work focus on the integration of Christian faith in counseling, clinical supervision, missionary care, and addressing mental health challenges such as mood disorders, trauma, and relationship dynamics within ministry contexts. Her teaching philosophy emphasizes collaboration, community, and faith integration. Her work reflects a strong dedication to equipping Christian leaders through partnerships with ministries to improve mental health support in faith-based settings. Though no specific publications are listed, her expertise lies at the intersection of psychology and spirituality. Licensed Professional Counselor Supervisor, Texas Prepare/Enrich Facilitator Dr. McKee brings extensive experience from prior roles as an adjunct instructor at various Christian institutions, teaching both undergraduate and graduate courses in counseling and Christian ministry. She is deeply committed to training future counselors through a Christian worldview, emphasizing excellence, ethical practice, and spiritual formation. She is actively involved in clinical practice and professional development, focusing on strengthening mental health care within Christian organizations and supporting those in ministry roles who face unique emotional and spiritual challenges.
Zakia Hammal is an Assistant Research Professor with dual appointments at Carnegie Mellon University, holding positions in the Robotics Institute within the School of Computer Science and the Department of Biomedical Engineering in the College of Engineering. Her work bridges computer science, machine learning, artificial intelligence, and social/behavioral psychology to advance computational models for human behavior analysis. Dr. Hammal's educational background includes a PhD in Computer Science, a Master of Artificial Intelligence and Algorithmic with specialization in Image Processing, and an Engineer's degree in Computer Science with specialization in Computer Systems. Her academic journey has positioned her at the intersection of technical expertise and healthcare applications. Her research focuses on multimodal human behavior modeling in social interaction, with particular emphasis on health informatics and affective computing (Emotion AI). Dr. Hammal's work has pioneered computational models for multimodal assessment of psychiatric disorders, including depression severity evaluation, automatic pain intensity measurement, assessment of expressiveness in children with facial abnormalities, analysis of non-verbal communication in mother-infant interaction, and identification of behavioral markers in autism spectrum disorder. Her approach integrates computer vision, machine learning, and behavioral psychology to create systems that can objectively measure human behaviors that are often subjective in clinical settings. Analysis of her recent publications reveals a consistent trajectory toward more sophisticated multimodal approaches to healthcare challenges, particularly in pain assessment and mental health diagnostics. Her work increasingly emphasizes interpretable AI models that can translate complex behavioral patterns into clinically meaningful insights, with growing attention to applications for vulnerable populations including infants, elderly patients, and those with craniofacial abnormalities or autism spectrum disorder. Women in AI Awards North America 2023 – AI Researcher of the Year Award Outstanding Reviewer Award at FG 2015 Best Paper award at ACII 2015 Outstanding Paper award at ICMI 2012 Dr. Hammal has secured significant research funding, primarily from the U.S. National Institutes of Health, including an R01 grant for developing a Multimodal Behavioral AI platform for pain assessment and management, and additional grants for automatic pain assessment in older adults with dementia. Her leadership extends to mentoring through her involvement in organizing workshops and conferences that train the next generation of researchers in affective computing and health informatics. As an active leader in her field, Dr. Hammal serves as ACM ICMI Steering Board Committee Member, Associate Editor for IEEE Transactions on Affective Computing and IEEE Transactions on Multimedia, and has organized numerous influential workshops including the International Workshop on Automated Assessment of Pain and Face and Gesture Analysis for Health Informatics. She is set to serve as Program Chair for FG 2025, ACII 2025, and ICMI 2026, demonstrating her growing influence in shaping the future direction of research in multimodal interaction and affective computing.
Elizabeth A. Simpson is an Associate Professor in the Department of Psychology at the University of Miami's College of Arts and Sciences. She serves as Associate Director of the Child Division and directs the Social Cognition Laboratory, focusing on infant social and cognitive development through interdisciplinary methodologies. Education: Ph.D. in Psychology (unspecified institution) Key Research Areas: Developmental Psychology, Autism, Social Cognition, Primate Studies, Visual Attention, Infant Behavior Her research investigates individual differences in infant visual attention, social motivation, and physiological markers like salivary oxytocin. Recent studies demonstrate: Stability of attentional patterns from newborn to 14 months Sex differences in early face detection Links between oxytocin levels and social affect in infants Neurophysiological markers in newborns later diagnosed with ASD Scientific awards include the NSF CAREER grant for neonatal imitation research. She contributes to open science initiatives through the ManyBabies consortium and develops remote eye-tracking methods for broader accessibility. Current lab work explores: Parent-infant affective interactions during still-face episodes Predictive power of early attentional biases Development of pathogen avoidance behaviors Cross-species comparisons of social cognition
Xiaoming Liu is the Anil K. and Nandita Jain Endowed Professor of Engineering and MSU Foundation Professor in the Department of Computer Science and Engineering at Michigan State University . Holding a Ph.D. from Carnegie Mellon University (2004), he leads cutting-edge research in computer vision and machine learning. Research Interests : Computer Vision Pattern Recognition Image and Video Processing Machine Learning Medical Image Analysis Multimedia Retrieval Recent Research Trends : Focus on 3D object detection and depth estimation Development of robust biometric recognition systems Integration of radar-camera fusion for autonomous systems Advancements in self-supervised and multimodal learning Exploration of adversarial AI security Creation of interpretable forgery detection frameworks Teaching : Spring 2013: CSE891-006 Computer Vision Seminar Fall 2012-2015: CSE803 Computer Vision Spring 2014-2017: CSE 471 Media Processing and Multimedia Contact Information : Email: liuxm@cse.msu.edu Office: EB 3137, Michigan State University Phone: +1 (517) 355-2359
Suzanne Staggenborg is a Professor and Director of Graduate Studies in the Department of Sociology at the University of Pittsburgh's Dietrich School of Arts & Sciences. Her research focuses on social movements, political sociology, environmental sociology, and qualitative methods. She holds a PhD from Northwestern University (1985), an MA from Washington University (1979), and a BA from Miami University (1977). Staggenborg’s work examines grassroots environmental activism, abortion politics, and coalition-building in social movements. Her book Grassroots Environmentalism (2020) explores challenges faced by local groups opposing fracking and promoting sustainability. She has served as Chair of the Department of Sociology at the University of Pittsburgh (2012–2019) and McGill University (2005–2008). Her research highlights strategic challenges in environmental movements, gender dynamics in activism, and the interplay between social movements and political opportunity structures. Awards include the John D. McCarthy Award (2019) and grants from the National Science Foundation and Social Sciences and Humanities Research Council. Education: PhD, Sociology, Northwestern University, 1985 MA, Sociology, Washington University, 1979 BA, Sociology and Psychology, Miami University, 1977 Key Awards: John D. McCarthy Award (2019) Member, Sociological Research Association (1997) Professional Service: Editorial boards for Mobilization , Social Movement Studies , and others Co-editor, Cambridge University Press Series on Contentious Politics
Prof. Justus Thies is Full Professor for 3D Graphics & Vision at the Technical University of Darmstadt and leads the Neural Capture & Synthesis research group at the Max Planck Institute for Intelligent Systems. His research develops AI methods to capture and synthesize the real world using commodity hardware, focusing on markerless motion capture of faces and bodies, and photorealistic neural rendering. His work has been recognized with the German Pattern Recognition Award, Eurographics Young Researcher Award, and an ERC Starting Grant (all 2024). Recent publications focus on Gaussian-based avatars, neural human reconstruction, and diffusion models for scene synthesis.
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.
Neil Selwyn is a Professor in the Faculty of Education at Monash University with over 30 years of research experience focusing on the integration of digital technology into educational settings. His work centers on the 'real-life' constraints and problems faced when implementing technology-based education, with expertise in AI, automation, data-driven education, and digital degrowth. His primary research interests span digital technology and society, the use of digital technologies in educational settings, digital sociology of education, and environmental sustainability issues associated with digital technology use. Professor Selwyn is recognized internationally for his critical approach to educational technology and has led numerous nationally-funded projects examining educational data, learning analytics, and AI technologies. His recent publications reflect a growing focus on the environmental implications of AI in education, digital degrowth, and the practical challenges teachers face when implementing AI tools in classrooms. This work demonstrates a shift toward examining the sustainability and ethical dimensions of educational technology. Fellow of the Academy of Social Sciences in Australia (2024) Professor Selwyn serves as a media commentator for major outlets including the NYT, WSJ, CNN, Guardian, BBC, and ABC, and hosts the 'Education Technology Society' podcast. He maintains significant international collaborations, currently holding visiting positions at Lund University (2025), University of Oxford (2023-2027), and previously at the University of Gothenburg (2016-2017).
Prof. Dr. Ulrike Freitag is Director of the Leibniz-Zentrum Moderner Orient (Berlin) and holds a special professorship in Islamic Studies at Freie Universität Berlin. Her research focuses on social and cultural history of the Arab world, urban history, and transregional connections in the Indian Ocean. She has directed major projects like 'An Oasis Facing Globalisation: Hegra’s History since the 19th Century' and authored seminal works such as A History of Jeddah . Education: Habilitation (Islamic Studies, 2002, Bonn), PhD (1991, Freiburg), MA (1987, Freiburg). Key research stays include Damascus (1984-85, 1987-90), Yemen, and Southeast Asia. Research Interests: Urban development, migration networks, Ottoman heritage, Saudi state formation, and transregional Islamic dynamics. Current projects explore Jeddah’s urban history and transregional entanglements in the Arabian Peninsula. Engagement: Editorial roles for Journal of Arabian Studies , ZMO Studien , and advisory boards for institutions like the Leibniz Institute of European History. Awarded fellowships from Käthe-Hamburger Kolleg and LUCIS. Supervised over 20 doctoral theses on topics ranging from Ottoman governance to Gulf intellectual history. Publications: Over 150 articles, 8 monographs, and 6 edited volumes. Her work blends archival research with transregional perspectives, emphasizing marginalized voices and material culture. Recent focus on pandemic impacts and Saudi-Iranian geopolitical dynamics.
Thomas Schlag is Professor of Practical Theology with a focus on Religious Education, Church Theory and Pastoral Theology at the Faculty of Theology, University of Zurich. Since January 1, 2021, he has served as Director of the University Research Priority Program 'Digital Religion(s): Communication, Interaction and Transformation in the Digital Society.' He is also Chairman of the Board of the Center for Church Development (ZKE), which he co-founded in June 2010. Previously, he served as Dean of the Faculty of Theology (2014-2016) and Vice Dean for Teaching (2012-2014). 1965: Born in Stuttgart 1980-1985: Attended Protestant seminaries Maulbronn and Blaubeuren 1986-1993: Studied Protestant Theology and Political Science in Tübingen and Munich 1993-1996: Doctorate at University of Munich 2004-2005: DFG research fellowship at University of Tübingen 2005: Appointed Assistant Professor at University of Zurich 2009: Habilitation at University of Tübingen 2011: Appointed Professor at University of Zurich Professor Schlag's work centers on the intersection of theology, education, and digital transformation. His research examines how religious practices adapt to digital environments, with particular focus on religious education in schools, confirmation work, and church youth programs. He explores theological-anthropological interpretations of digital transformation and investigates the relationship between church, state, and civil society through the lens of 'Public Theology.' His current projects analyze digital media practices in church educational offerings and investigate how churches negotiate digital worship services and sacraments. His recent publications reveal a strong emphasis on digital religion, with numerous articles examining digital media in confirmation work, religious leadership in digital contexts, and the challenges churches face in adapting to digital transformation. His work spans practical theology, religious education theory, and ecclesiology, with a particular focus on Swiss religious contexts while maintaining international comparative perspectives. The research demonstrates increasing interdisciplinary collaboration, particularly with scholars examining digital innovation in religious contexts. As Director of the University Research Priority Program 'Digital Religion(s),' Professor Schlag leads a significant interdisciplinary research initiative exploring how digital technologies transform religious communication, interaction, and practices. His work has practical implications for church development, religious education, and theological reflection in the digital age. He actively collaborates with international research networks including the European Network for Confirmation Work and the International Academy of Practical Theology.
Professor Ping Luo is an Associate Professor and Assistant Director (Outreach and Advancement) at the School of Computing and Data Science, University of Hong Kong. He also serves as Associate Director (Innovation and Outreach) of the Musketers Foundation Institute of Data Science. His research focuses on developing advanced machine learning algorithms, particularly in computer vision and deep learning, emphasizing reinforcement learning, meta-learning, and foundational algorithm understanding. Luo holds a PhD from the Chinese University of Hong Kong (2014), supervised by Prof. Xiaoou Tang and Prof. Xiaogang Wang. His notable achievements include over 70 peer-reviewed publications in top venues like TPAMI, IJCV, ICML, and CVPR, alongside competition wins such as the 2014 ImageNet ILSVRC Challenge and the 2017 YouTube-8M Video Classification Challenge. His work spans applications in autonomous driving, video segmentation, and facial recognition. Education: PhD in Information Engineering (2014), Chinese University of Hong Kong Awards: 2011 HK PhD Fellow Award, 2013 Microsoft Research Fellow Award Professional Roles: Former Research Director at SenseTime Research Recruiting Postdocs, PhDs, and RAs His research interests include algorithm development for autonomous systems, deep learning foundations, and practical AI applications in computer vision. He maintains an active presence in academic outreach and industry collaboration.
