Nicole Gutierrez is an Associate Professor and Branch Director at the Irvine campus of Alliant International University under the California School of Professional Psychology. She specializes in Couple and Family Therapy, focusing on trauma, sexuality, and cultural advocacy. BA in Psychology, University of California, San Diego MA in Couple and Family Therapy, Alliant International University PsyD in Couple and Family Therapy, Alliant International University Her research explores transgenerational trauma , interpersonal trauma , sexuality across the lifespan , and anti-carceral clinical practices , particularly for BIPOC families. She also investigates vicarious traumatization and self-of-the-therapist development in clinical settings. Her recent work highlights chemical dependency in families and sex-positive learning for marginalized communities. The 15 most recent articles span 2018–2025 , emphasizing trauma-informed family therapy , systemic healing , and cultural competence . Key themes include anticarceral praxis , vicarious trauma , and sexuality education for Black women's health. Nicole teaches courses such as Trauma and Crisis Intervention , Sex Therapy , and Advanced Family Therapy . Her clinical expertise lies in treating trauma, dual diagnosis substance use disorders, and co-occurring mental health conditions.
Sophia Natasha Wilson is a Research Fellow in the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in machine learning applications across interdisciplinary domains. She is affiliated with the SCIENCE AI Centre and holds a cross-departmental position at the Niels Bohr Institute . Her research bridges theoretical machine learning with practical implementations in healthcare, quantum computing, and environmental sustainability. University of Copenhagen Department of Computer Science (DIKU) Niels Bohr Institute SCIENCE AI Centre Her research focuses include: Quantum-enhanced machine learning algorithms Explainable AI for healthcare applications Environmental sustainability in computing Emotion-aware language models Quantum computing hardware optimization Public health risk modeling Her recent publications demonstrate cross-disciplinary work in quantum machine learning (hybrid optical processors, qubit stabilization), health informatics (hypothyroidism analysis, nursing values evaluation), and ethical AI (sustainable AI, fairness in recommender systems). Technical work also appears in non-Euclidean generative models and real-time adaptive systems . Current projects include quantum dot array simulation (QDarts platform) and federated learning for personalized medicine . She contributes to the TreeSense center for remote sensing of global tree resources and works on climate-aware AI frameworks.
Prof. Dr. Catrin Misselhorn serves as Professor of Philosophy at the University of Göttingen since 2019, focusing on theoretical philosophy, machine ethics, and human-AI interaction. She is Deputy Director of the Institute of Philosophy and a member of the supervisory board at KIT (Karlsruhe Institute of Technology). Education Studied at University of Tübingen and University of North Carolina at Chapel Hill (1991-1998) PhD in Philosophy (2003) and Habilitation (2010) at University of Tübingen Feodor-Lynen Fellowship at Center of Affective Sciences (2007-2008) Research Interests Her work bridges machine ethics , philosophy of artificial intelligence , and human-machine interaction , with emphasis on moral agency in autonomous systems, empathy in AI, and ethical evaluation of technologies. She explores applications in geriatric care, autonomous weapons, and self-driving vehicles. Recent Article Trends Her 15 most recent publications (2022-2025) highlight intersections between AI governance , robot empathy , and moral implementation . Topics span care robotics , autonomous weapons , AI-generated art , and ethics of language models . Scientific Awards Feodor-Lynen Fellowship (2007-2008) Member, Niedersächsische Akademie der Wissenschaften (2024) Academic Leadership Director of Institute of Philosophy (2012-2019), University of Stuttgart Current editorial roles and media engagements (ARD, Süddeutsche Zeitung, DWIH New York)
Prof. Verena Hafner is a Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. She leads the Adaptive Systems group, focusing on interdisciplinary research at the intersection of robotics, AI, and cognitive science. Her work emphasizes human-robot interaction, adaptive learning mechanisms, and embodied cognition. Her research explores: Design and impact of socially interactive robots in educational and cognitive contexts Trust dynamics and transparency in human-robot relationships Development of bio-inspired AI models and sensorimotor learning systems Philosophical and ethical dimensions of artificial consciousness and agency Analysis of her recent publications (2023-2025) reveals strong emphasis on educational robotics, cognitive modeling, and humanoid robot design. Key trends include multimodal learning architectures, trust calibration in HRI, and biologically-inspired AI frameworks. Her work consistently bridges theoretical AI with applied human-centered experimentation. She supervises graduate students including Michael Piechotta (doctoral candidate) and leads the Adaptive Systems laboratory investigating lifelong learning in artificial agents.
Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.
Scott McCrickard is an Associate Professor at the Department of Computer Science within the College of Engineering at Virginia Tech . He serves as the Co-director of Virginia Tech's Human-Centered Design Program , integrating interdisciplinary approaches into his research and teaching. Ph.D. , Computer Science, Georgia Tech (2000) M.S. , Computer Science, Georgia Tech (1995) B.S. , Mathematical Sciences (Computer Science emphasis), University of North Carolina at Chapel Hill (1992) McCrickard’s research focuses on Human-Computer Interaction (HCI) , particularly in outdoor environments. His work explores how technology can enhance experiences in nature, including the use of smartwatches for group fitness interventions, AR mobile games for social bonding, and diary studies as pedagogical tools. He also investigates mobile application development for low-literacy populations and social media integration in design processes. Recent publications highlight trends in HCI education , outdoor technology adoption, and social gaming dynamics . Key themes include leveraging diary methods for learning, designing context-aware notification systems , and analyzing indigenous knowledge preservation through self-organized online communities. As part of his leadership in the Human-Centered Design Program, he bridges computer science with design theory , emphasizing usability and social impact in technological solutions.
Dr. Donna Jessop is an Associate Professor in Health Psychology at the School of Psychology, University of Sussex. She holds a BA in Human Sciences from the University of Oxford, an MSc in Social and Applied Psychology, and a PhD in Psychology from the University of Kent. Her research focuses on applying psychological theories to promote healthy behaviors, environmental sustainability, and well-being. Key areas include self-affirmation interventions, positive psychology and sleep relationships, and the impact of financial stress on students. She has secured grants from organizations like the ESRC and the British Academy, and consulted for Mitie on workplace well-being programs. Her teaching includes module leadership in Health Psychology and workshops on applying psychology to everyday problems. Research grants include projects on food waste recycling (North London Waste Authority, 2015–2016), self-affirmation in health promotion (ESRC, 2012–2014), and postnatal mental health (British Academy, 2007–2008). Dr. Jessop’s over 40 publications span behavioral health, environmental psychology, and student well-being, with recent work examining part-time work’s impact on university applications and emotion regulation’s role in sleep quality. She advises students through scheduled drop-ins and maintains an active research program bridging theory and real-world applications.
Daswin De Silva is a Full Professor of AI and Analytics at La Trobe University, Australia, and Deputy Director of the Centre for Data Analytics and Cognition (CDAC). He also holds an Adjunct Professor position at Lulea University of Technology, Sweden. His expertise spans AI ethics, algorithm development, and applications in healthcare, energy, and education. He leads major initiatives like the La Trobe Energy AI Platform for net-zero emissions and the OptusU AI Micro-credentials program. Education: PhD in AI (Monash University, 2011). Awards include the Australian Awards for University Teaching (2021), Vice-Chancellor’s Teaching Award (2019), and Mid-Career Research Excellence Award (2018). Editor of five journals including IEEE Transactions on Industrial Informatics and Springer Discover AI. Research focuses on generative AI, ethical AI systems, and vector symbolic architectures. Recent work includes AI applications in healthcare diagnostics, energy efficiency, and smart cities. He has secured AU$14M in research funding and supervised 15 PhD completions with 10 current students. Leadership roles include Deputy Chair of La Trobe’s Research & Graduate Studies Committee and chairmanship of IEEE committees on Responsible AI and Web/Information Systems. Keynote speaker at global conferences like IEEE HSI, INDIN, and ETFA. Media engagements include ABC News, Forbes, and The Conversation.
Barbara Schober is a full Professor in the Department of Developmental and Educational Psychology at the University of Vienna's Faculty of Psychology. Her research focuses on adolescent development, educational processes, and psychological well-being in school contexts. Key areas include motivation dynamics, self-regulated learning, gender role socialization, and pandemic-related educational challenges. She leads major research initiatives such as the COMET for Kids mental health literacy program and the 'Lernen unter Covid-19' project addressing pandemic learning disruptions. With 263 publications and 232 professional activities, her work bridges academic research with practical educational policy. Notable contributions include frameworks for school improvement, teacher competence development, and evidence-based policy implementation strategies. Her projects emphasize interdisciplinary collaboration, having partnered on initiatives funded by Austrian Science Funds and EU programs. Media engagement includes expert commentary on digital learning challenges and pandemic education strategies. Schober's work consistently addresses UN SDG 4 (Quality Education) through interventions promoting equitable educational opportunities and student well-being.
Franziska M. Korb is a Researcher at the Institute of General Psychology, Biopsychology and Methods of Psychology at Technische Universität Dresden. She holds a PhD in Psychology from the University of Leipzig (2008) and has conducted extensive postdoctoral research at institutions including Duke University (USA), the Max Planck Institute for Human Cognitive and Brain Sciences (Leipzig), and the University Clinic Cologne. Her research focuses on cognitive control mechanisms, decision-making processes, and the neural underpinnings of self-control and emotional regulation. She has received awards such as the Charlotte Bühler Award for teaching excellence (2014) and grants for pilot studies and travel. Korb is also an ad-hoc reviewer for multiple prestigious journals and research councils. Her academic journey includes a diploma in Psychology from Leipzig (2004) and research internships at UC San Diego and the Max Planck Institute. She explores topics like brain networks (e.g., salience network), decision conflict, and the role of anticipated emotions in self-regulation. Her work combines neuroimaging (fMRI, EEG), transcranial stimulation (TMS/tDCS), and behavioral experiments to study cognitive and affective processes in health and clinical populations (e.g., anorexia nervosa). Research Highlights: Investigates how brain connectivity predicts self-controlled choices. Examines neural mechanisms of honesty and reward circuits in moral decisions. Studies framing effects in food choices and future consequences in health behaviors. Explores cognitive effort tolerance and dark triad personality traits. Awards and Grants: Charlotte Bühler Teaching Award (2014) DAAD Travel Award (2014) DEFD Best Poster Award (2013) Start-up grant for pilot studies (2014) Professional Contributions: Active in open science initiatives, replication studies, and academic ethics education. Collaborates internationally, including with Duke University and the Max Planck Society.
Nilam Ram is a Professor of Communication and Psychology at Stanford University, with affiliations in the Wu Tsai Human Performance Alliance and the Symbolic Systems Program. His research focuses on the dynamic interplay of psychological processes and media use, leveraging longitudinal methodologies and intensive data streams from digital devices. He holds dual appointments in Communication and Psychology, emphasizing interdisciplinary approaches to studying change across lifespan development. Education: B.A. in Economics (not specified), followed by transitions into kinesiology and psychology. Current research explores media effects, digital phenotyping via the Human Screenome Project, and applications of AI to longitudinal data. He teaches courses on temporal data analysis, statistical methods, and media psychology. Research Interests: Longitudinal study designs, intensive longitudinal data (e.g., smartphone screen captures), affective aging, and the impact of digital media on mental health. His work bridges computational methods with psychological theory, emphasizing person-specific analyses over aggregated trends. Recent Article Themes: Smartphone use and suicide risk prediction, digital nature vs. physical nature impacts, transformer models for mortality prediction, and mindfulness interventions. These reflect a focus on real-time behavioral tracking and AI-driven insights. Labs/Teams: The Change Lab @ Stanford Grants/Advising: Mentors doctoral and postdoctoral researchers in media psychology and data science. Courses include advanced statistical methods and interdisciplinary projects.
Sijia Yang is an Associate Professor at the School of Journalism and Mass Communication at the University of Wisconsin-Madison . His research focuses on message effects and persuasion in digital media, particularly in public health and science communication. He employs experimental, computational (e.g., causal machine learning, multimodal analysis), and community-engaged methods to address challenges in health communication interventions. Ph.D. in Communication: Annenberg School for Communication, University of Pennsylvania (2019) M.A. in Communication: University of Illinois at Urbana-Champaign (2012) B.A. in English Language and Literature: Renmin University of China (2010) His current research explores three key areas: (1) moralization/politicization of health issues and intervention design, (2) causal machine learning for evaluating multimodal messages, and (3) leveraging AI for pro-social messaging in underserved communities. His work bridges computational methods with societal impact, emphasizing ethical considerations and practical applications. Recent articles highlight his contributions to topics like cannabis warning labels, misinformation correction via TikTok, and AI-driven health chatbots. Despite no explicitly listed awards, his active research portfolio reflects significant scholarly engagement in health communication and digital media studies. His advising and grants focus on collaborative projects with rural communities and under-resourced populations, though specific grants are not detailed here. No lab or team affiliations are mentioned in the provided texts.
Dr. Sandris Zeivots is a Senior Lecturer at the University of Sydney Business School and Interim Academic Director of Business Co-Design. His research focuses on creating transformative educational experiences through co-design methodologies, learning spaces, and emotional dimensions of learning. Zeivots explores student engagement optimization through collaborative educational design and investigates hybrid teaching models. His publications demonstrate consistent focus on innovative pedagogies, with recent work examining generative AI's impact on assessments, connected learning spaces in business education, and cross-disciplinary professional development. Research trends show progression from experiential learning foundations to technologically-enhanced educational frameworks. Zeivots leads the Disruptive Innovations in Business Education Research Group and has secured multiple grants including an Australian Business Deans Council commission. As academic director, he oversees curriculum development initiatives and facilitates faculty development programs through Sydney Facilitators Network and HERDSA networks. His pedagogical approach emphasizes authentic industry engagement and meaningful learning experiences in postgraduate business education.
Dr. Paul Ruvolo is a Professor of Computer Science at Olin College in Needham, MA. His research focuses on developing assistive technologies for people with sensory and motor impairments, leveraging machine learning, robotics, and computer vision. He holds a Ph.D. and M.S. in Computer Science and Engineering from the University of California San Diego, and a B.S. in Computer Science from Harvey Mudd College. Key research areas include creating systems that learn through imitation and experience, such as navigation aids for the visually impaired and educational tools for orientation and mobility. He leads projects like Co-Designing Assistive Apps with Students Who Are Blind, emphasizing participatory design. His work integrates Bayesian statistics, numerical optimization, and linear algebra to solve complex sensorimotor tasks. Education: Ph.D., Computer Science and Engineering, UC San Diego M.S., Computer Science and Engineering, UC San Diego B.S., Computer Science, Harvey Mudd College Awards: NSF IGERT Fellowship for 'Learning and Vision in Humans and Machines' Recent publications highlight innovations in AR navigation systems, smartphone-based SLAM for indoor environments, and educational tools for blind users. His work bridges computational methods with real-world accessibility challenges, emphasizing interdisciplinary collaboration and user-centric design. Dr. Ruvolo’s lab, linked at occam.olin.edu , focuses on assistive technologies. He actively contributes to Teach Access and other initiatives promoting inclusive technology education. His research has applications in robotics, healthcare, and educational technology.
Nathan C. Hall is an Associate Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. He also serves as the Associate Dean of the Faculty of Graduate and Postdoctoral Studies and directs the Achievement Motivation and Emotion (AME) Research Group. Dr. Hall's research explores the psychosocial determinants of optimal development in achievement settings, with a specific focus on motivation (strategies, goals, beliefs) and discrete emotions (boredom, enjoyment, anger). His work examines how these factors influence academic achievement, persistence, and health outcomes through motivational interventions, particularly those delivered via digital and social media platforms. His recent publications demonstrate a strong emphasis on understanding how motivation and emotion interact across educational contexts. Key trends include faculty and graduate student experiences, doctoral education, and technology-enhanced interventions. His research spans K-12 education, higher education, and healthcare settings, revealing the cross-domain relevance of motivational and emotional processes. Outstanding Publication Award; American Educational Research Association (SIG-GPDED; 2019) Outstanding International Research Collaboration Award; American Educational Research Association (SIG-TICL; 2017) Faculty of Education Distinguished Teaching Award (2014) Canadian Psychological Association President's New Researcher Award (2011) University of Manitoba Distinguished Dissertation Award (2007) Dr. Hall has secured significant research funding as Principal Investigator, including projects from the National Science Foundation examining motivation as a predictor of faculty research development, SSHRC grants on female academics' experiences of harassment on social media, and CIHR funding for research on psychosocial predictors of health and survival in late life. His international collaborations, particularly through his Humboldt Fellowship in Germany, demonstrate his global research impact. As director of the Achievement Motivation and Emotion (AME) Research Group, Dr. Hall leads a team investigating key questions in educational psychology using diverse methodologies including experimental designs, longitudinal studies, and meta-analyses to advance understanding of motivational and emotional processes in educational settings.
