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Hatice GunesView profile

Professor

University of CambridgeUnited Kingdom

Prof. Hatice Gunes is a Full Professor of Affective Intelligence and Robotics at the University of Cambridge's Department of Computer Science and Technology, leading the Affective Intelligence and Robotics Lab (AFAR Lab). She holds an EPSRC Fellowship and is an EPSRC Fellow. Her research focuses on multimodal affective and social intelligence for AI systems, particularly embodied agents and robots, integrating Machine Learning, Affective Computing, and Human Nonverbal Behaviour Understanding. Key projects include the CHANSE initiative (2025–2028) for child mental health assessment via social robotics, the EPSRC Fellowship on robotic EQ for wellbeing (2019–2025), and the EU Horizon 2020 WorkingAge project. Prof. Gunes has pioneered systems like the EU SEMAINE project's SAL system, recognized with Best Demo and Paper Awards, and co-founded SensingFeeling, a spin-out company from the Innovate UK Sensing Feeling project. Her work emphasizes ethical AI and fairness, earning awards like the Best Paper Award in Responsible Affective Computing (IEEE ACII'23). She has delivered keynote talks at IEEE FG’19 and ICPR’22 and collaborates with the Department of Psychiatry and wellbeing professionals. Education: PhD in Computer Science from University of Technology Sydney (UTS) under Australian Government IPRS Scholarship Postdoctoral Research at Imperial College London (SEMAINe project) Research Interests: Multimodal affective computing, social robotics for mental wellbeing, fairness in AI systems, human-robot interaction (HRI), and ethical deployment of AI technologies. Her lab develops robots for workplace wellbeing coaching and child mental health assessment, with over 700 media coverages and partnerships with industry and healthcare sectors. Notable Achievements: Runner-up Collaboration Award (2023 VC Research Impact) Better Future Award (2023 Hall of Fame) Finalist RSJ/KROS Interdisciplinary Research Award (2021) Shortlisted Sony Women in Technology Award 2025 Labs & Teams: AFAR Lab drives interdisciplinary research in Cambridge, focusing on socially intelligent robots and AI systems that address critical societal challenges in wellbeing and mental health.

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Pietro LiòView profile

Professor

University of CambridgeUnited Kingdom

Pietro Liò is Full Professor in the Department of Computer Science and Technology at the University of Cambridge, where he leads research in Artificial Intelligence and Computational Biology as part of the AI group and the Cambridge Centre for AI in Medicine. He holds additional affiliations as Fellow and Council member of Clare Hall College, member of Ellis (European Lab for Learning & Intelligent Systems), and member of Academia Europaea. Professor Liò earned dual PhDs in Complex Systems and Non Linear Dynamics from the University of Florence and in Theoretical Genetics from the University of Pavia, Italy. His educational background bridges theoretical computer science with biological sciences, forming the foundation for his interdisciplinary research approach. His research focuses on developing Artificial Intelligence and Computational Biology models to understand disease complexity and advance personalized medicine. Current work emphasizes Graph Neural Network modeling for integrating multi-scale, multi-omics, and multi-physics data; combining deep learning with mechanistic approaches; explainability in medical AI; and developing AI-based medical digital twins and personal decision support systems. His work spans from fundamental algorithm development to clinical applications, with particular emphasis on translating computational advances into medical solutions. Analysis of his recent publications reveals strong activity in geometric deep learning , explainable AI for healthcare , and multi-omics integration , with increasing focus on clinically applicable tools that maintain both predictive power and interpretability. Member of Academia Europaea Listed among Top Italian Scientists by VIA-Academy Professor Liò has mentored over 40 PhD students and postdoctoral researchers, including notable names such as Petar Velickovic, David Buterez, and Chaitanya Joshi. His research is supported through collaborations with the Cambridge Centre for AI in Medicine and various international partnerships. He serves on departmental committees including Student Complaints and Postdoc Mentoring, and has completed equality and diversity training essentials. He leads research within the Artificial Intelligence group at Cambridge, focusing on creating computational frameworks that bridge biological complexity with clinical applications through advanced machine learning techniques.

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Hsiao-Wen LiaoView profile

Assistant Professor

Georgia Institute of TechnologyUnited States

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.

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Derry WijayaView profile

Associate Professor

Boston UniversityUnited States

Derry Wijaya is an Associate Professor and Program Coordinator for the Data Science Program at Monash University Indonesia. She also co-directs the Monash Data and Democracy Research Hub, focusing on analyzing data's impact on democracy. Previously, she served as an Assistant Professor at Boston University's Department of Computer Science. Her research spans multilingual NLP, low-resource language technologies, and combating AI-driven misinformation. Education: PhD in Language Technologies, Carnegie Mellon University (2013) Postdoctoral Fellowship, University of Pennsylvania (2013–2015) Bachelor's & Master's in Computing, National University of Singapore Research Interests: Improving language model performance via self-consistency and reasoning Analysis of bias, toxicity, and framing in AI outputs Preservation of Indonesian indigenous scripts and languages Development of tools like OpenFraming AI for multilingual framing analysis Recent Work Trends: Her publications (2023–2025) emphasize ethical AI, low-resource language solutions, and social media analysis. Notable contributions include frameworks for metric calibration (MetaMetrics), debiasing generative models, and surveys on Indonesian language technology needs. Awards & Roles: Fulbright Scholarship recipient Serves on program committees for ACL, EMNLP, NeurIPS, and ICLR Co-created OpenFraming AI for multilingual framing analysis Grants & Labs: Leads the Monash Data and Democracy Hub, focusing on tech's societal impact. Active in grant-funded projects preserving Indonesia's linguistic heritage through digitization efforts.

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David H. BarlowView profile

Professor

Boston UniversityUnited States

David H. Barlow is Professor Emeritus of Psychology and Psychiatry at Boston University and founder of the Center for Anxiety and Related Disorders. His clinical research focuses on understanding anxiety/depression and developing treatments for emotional disorders. Education includes a PhD from the University of Vermont. Research interests center on transdiagnostic approaches to emotional disorders, neuroticism frameworks, and unified treatment protocols applicable across anxiety/depression spectrum disorders. Publications establish integrative models for psychopathology and evidence-based treatment manuals. Recent work explores neuroticism as core vulnerability factor and standardized protocols for comorbid conditions. Developed Unified Protocol for transdiagnostic treatment adopted internationally. Authored over 90 books and 650+ articles including foundational texts on clinical psychology and psychopathology.

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Miriam SturdeeView profile

Lecturer

University of St AndrewsUnited Kingdom

Dr. Miriam Sturdee is a Lecturer in Human-Computer Interaction (HCI) at the School of Computer Science, University of St Andrews. Her work focuses on advancing HCI through innovative methods in design, education, and interdisciplinary collaboration. She actively contributes to research areas such as visual data analysis, blended experiences, and healthcare technology, with notable expertise in sketching techniques and their applications in user-centered design. Dr. Sturdee supervises PhD candidates Jess McGowan and Junyu Zhang, guiding their research in HCI-related domains. Her research interests span HCI pedagogy, cybersecurity visualization, and sustainable design, emphasizing inclusivity and accessibility. Collaborations include workshops on digital-physical integration and participatory design for healthcare communication. She has co-authored a practical guide on sketching theory and actively participates in academic conferences, contributing to discussions on knowledge production and materiality in HCI. Dr. Sturdee’s work aligns with UN Sustainable Development Goals, particularly in advancing healthcare equity and sustainable practices. She engages in outreach activities, such as the Doors Open @ Computer Science event, fostering public engagement with technology. Her publications reflect a commitment to bridging artistic expression with computational methods, exploring topics like parasocial interactions in games and remote sketching in distributed teams.

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David DartsView profile

Associate Professor

New York UniversityUnited States

David Darts is a Global Network Associate Professor of the Arts at New York University's Steinhardt School of Culture, Education, and Human Development. He directs the Laboratory of the Future Present, an artistic research studio exploring speculative design and societal issues through interactive media. His work spans installations, curatorial projects, and public interventions addressing themes like personal space, environmental interaction, and decentralized digital collaboration. Education details are not explicitly provided, but his professional roles and projects indicate extensive involvement in academic and creative spheres. Research interests include interactive technology, public art, and speculative design. His notable projects include the Personal Space Suit (2024), PirateBox (2011–2019), and the Nomad Lab exhibition (2020). His exhibitions and projects have been featured in venues like Alserkal Avenue (Dubai), NYU Abu Dhabi, and the Conflux Festival (New York). Awards or grants are not mentioned, but his work has received international media coverage in outlets like New Scientist and Wired Italia . Advising and grants: While no formal advisees are listed, Darts has curated exhibitions and collaborative projects involving artists and researchers. His work often involves interdisciplinary teams, such as the Playable Sculpture project with multiple artists. Labs/Teams: Directs the Laboratory of the Future Present and collaborates with institutions like Baltan Laboratories and NYU Abu Dhabi.

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Iris F.A. VisView profile

Professor

University of GroningenNetherlands

Prof. Iris F.A. Vis is a Professor of Industrial Engineering at the University of Groningen's Faculty of Economics and Business. She specializes in logistics and operations management, focusing on optimizing processes through quantitative and qualitative methods. Her work intersects logistics with sectors like healthcare, education, and energy. She leads major projects such as SMiLES (sustainable mobility-logistics integration) and designs logistics solutions for personalized learning systems in schools. She has advised over a dozen PhD students and collaborates with industry partners globally. Awards include Fellowship in the Netherlands Academy of Engineering. Education: M.Sc. Mathematics (Leiden University), PhD in Operations Management (Erasmus University Rotterdam) Roles: Captain of Science for Topsector Logistics, Member of multiple national advisory boards Research interests span sustainable transportation networks, port optimization, healthcare logistics, and educational logistics. Key projects include LNG supply chain design, offshore wind farm maintenance planning, and synchromodal transport networks. Over 45 peer-reviewed publications and 18 media engagements highlight her impactful contributions. Teaching includes courses on supply chain network design, technology-enabled innovation, and operations management at all academic levels. She advises on industrial partnerships and digital transformation initiatives in the Northern Netherlands region.

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Sarah EblingView profile

Professor

University of ZurichSwitzerland

Sarah Ebling is a Full Professor of Language, Technology and Accessibility at the University of Zurich's Faculty of Arts and Social Sciences. She leads the Language, Technology and Accessibility research group within the Institute for Computational Linguistics. Her work focuses on computational linguistics applications for assistive technologies targeting disabilities such as hearing impairments, visual impairments, and cognitive disorders. Key areas include sign language technologies, automatic text simplification, and audio description systems. She directs the large-scale Swiss innovation project 'Inclusive Information and Communication Technologies' (2022-2026, CHF12 million budget) and collaborates on EU H2020 and SNSF Sinergia projects. Education: Holds a doctoral degree (summa cum laude, 2016) from the University of Zurich with research on automatic translation to Swiss German Sign Language. Completed studies in German Linguistics, Computational Linguistics, and English Linguistics at Universities of Zurich and Heidelberg, with research stays in Dublin, Chicago, and Rochester. Research emphasizes multimodal accessibility solutions, including sign language fluency assessment, gesture-based interaction, and AI-driven text adaptation. Current projects explore audio description translation systems (SwissADT), sign language corpus development (SwissSLi), and digital tools for comprehensibility assessment in simplified texts. Her work bridges computational linguistics with ethical considerations in assistive technology deployment. Grants and Leadership: Principal Investigator on major accessibility-focused grants, including the CHF12M Swiss innovation project. Supervises PhD candidates in areas like sign language assessment tools and text simplification algorithms. Active in international collaborations, publishing extensively in computational linguistics and accessibility journals/conferences. Technology Development: Created the 'DigiSpon' benchmark for language sample analysis and developed open-source tools for sign language translation baselines. Her team's innovations include the SignCLIP model connecting text and sign language via contrastive learning, and pose estimation frameworks for sign language recognition.

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Andrés VelascoView profile

Professor

London School of Economics and Political Science (LSE)United Kingdom

Andrés Velasco is Dean of the School of Public Policy at the London School of Economics and Political Science (LSE). Formerly, he served as Chile's Minister of Finance (2006–2010) and held academic positions at Columbia University and Harvard Kennedy School. He specializes in macroeconomics, economic policy, populism, and development. His research explores fiscal policy, inflation targeting, and crisis management in emerging economies. He has authored over 100 academic articles and books, including Liberalismo en Tiempos de Cólera and Contra la Desigualdad . Velasco has advised governments globally and chairs international commissions like the Global Panel on Multilateral Lending Institutions. Awards include the Inter-American Development Bank's Excellence in Research Award (2006). His work bridges academic rigor and policy relevance, addressing global challenges in finance, development, and governance. Education: BA/MA Yale University, PhD Columbia University, Postdoctoral Fellowship at Harvard/MIT. Awards: Multiple recognitions for economic research and policy contributions. Publications: Over 100 articles, books on macroeconomic policy, and policy analyses. Professional Roles: G20 Eminent Persons Group member, Board roles at Adecoagro and Itaú-Unibanco. Research focuses on fiscal rules, commodity-driven booms, and the political economy of policy reforms. His recent work addresses pandemic economics, inflation dynamics, and populism's impact on governance.

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Oliver FaudeView profile

Professor

University of BaselSwitzerland

Prof. Oliver Faude is a Professor and Researcher at the Department of Motor Performance & Biomechanics within the University of Basel's Department of Sport, Exercise and Health (DSBG). His research focuses on exercise physiology, sports medicine, and the application of physical activity in managing chronic conditions like type 2 diabetes. He supervises doctoral students, including Vivien Hohberg, whose work on telephone-based health coaching for diabetes patients was published in the Journal of Science and Medicine in Sport. Faude collaborates on projects such as the dbcoach intervention, funded by Innosuisse and health insurers, demonstrating how personalized coaching increases physical activity in diabetic populations. His work also extends to musculoskeletal imaging innovations, such as the UMUD web application for ultrasonography data access, and the PrepAir study addressing chemotherapy-induced sensory dysfunction in children. Faude's interdisciplinary approach integrates clinical research, biomechanics, and public health, with a particular emphasis on aging populations and pediatric oncology. He contributes to injury prevention strategies in sports like badminton and soccer, while advancing methodologies for muscle volume assessment via 3D ultrasound and MRI comparisons. Key Projects: dbcoach program, PrepAir study, musculoskeletal imaging tools, agility training for frailty prevention. Grants: Innosuisse, SwissLife Foundation, Voluntary Academic Society of Basel. Students: Vivien Hohberg (PhD). Labs/Teams: Motor Performance & Biomechanics lab, collaborations with Prof. Bart Roelands (Vrije Universiteit Brussel) on overtraining syndrome research.

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Indrani BhattacharyaView profile

Assistant Professor

Dartmouth CollegeUnited States

Indrani Bhattacharya, PhD, is an Assistant Professor in the Department of Biomedical Data Science and the Center for Precision Health and Artificial Intelligence (CPHAI) at Dartmouth College's Geisel School of Medicine. Her research focuses on developing human-centered AI systems for healthcare, particularly in multimodal medical imaging and behavioral health analytics. She holds a BS in Electrical Engineering from Jadavpur University (India), and MS/PhD from Rensselaer Polytechnic Institute (USA). Postdoctoral training at Stanford University's Department of Radiology further specialized her in biomedical imaging informatics. Research interests include: Integrating imaging and non-imaging data for precision medicine AI-driven prostate cancer detection/classification Multimodal behavior estimation for doctor-patient interactions Privacy-preserving sensor systems for group interaction analysis Her work bridges computer vision, medicine, and social science, with recent breakthroughs in MRI-ultrasound fusion AI outperforming radiologist interpretations in multi-center studies. Active in AI ethics and translational research, she leads teams developing clinical decision support tools for oncology and behavioral health. Key career milestones include: Postdoctoral scholar at Stanford University School of Medicine (2016-2021) Academic research staff at Stanford Radiology (2021-2022) Founding member of Dartmouth CPHAI precision health initiatives Labs/Teams: Leads the Biomedical AI for Healthcare group at Dartmouth, collaborating with Stanford and industry partners on AI-driven diagnostic systems.

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Hui CaoView profile

Professor

Yale UniversityUnited States

Hui Cao is the John C. Malone Professor of Applied Physics, Professor of Physics, and Professor of Electrical Engineering at Yale University. Her research focuses on mesoscopic physics, complex photonic materials, nanophotonics, and biophotonics, with experimental investigations into unconventional lasers, coherent light control, and disordered photonic systems. She leads a lab exploring applications in speckle-based imaging, deep-tissue optics, and chip-scale spectrometers. Education: Ph.D. in Physics from Stanford University (1997). Awards include the William E. Lamb Medal (2015), Guggenheim Fellowship (2013), and fellowships from the American Physical Society and Optical Society of America (2007). Research emphasizes random lasers, microcavity lasers, and wavefront shaping to control light in diffusive media. Key innovations include a disordered photonic chip spectrometer and methods to suppress nonlinear instabilities in fiber amplifiers. Awards: 12 major honors including AAAS Fellowship and multiple endowed professorships Patents: 3 core photonic technologies including random laser imaging and fiber amplifier control systems Lab Activities: Developing novel optical devices leveraging disorder and nonlinear effects

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Ava GreenView profile

Lecturer

City, University of LondonUnited Kingdom

Dr. Ava Green is a Lecturer in Forensic Psychology at City, University of London, within the School of Health and Psychological Sciences, Department of Psychology. She completed her PhD in Forensic Psychology at Edinburgh Napier University in 2020 and has held academic positions at Queen Margaret University and Edinburgh Napier University. She is a Chartered Psychologist and a Fellow of the Higher Education Academy. Her educational background includes: PhD in Forensic Psychology, Edinburgh Napier University (2017–2020) MSc in Applied Criminology and Forensic Psychology, Edinburgh Napier University (2015–2016) BSc (Hons) in Psychology, Edinburgh Napier University (2011–2015) Dr. Green’s research focuses on gender differences in personality disorders, particularly narcissism in women, its aetiology, diagnostic assessment, and links to intimate partner violence. She explores how narcissism manifests differently across genders and challenges diagnostic biases in clinical settings. Her work also extends to criminal false confessions and the behavioural manifestations of narcissism in forensic contexts. Her recent publications reveal a consistent focus on narcissism through both empirical research and public engagement. Articles span clinical studies using ICD-11 frameworks, gendered analysis of personality disorders, and accessible commentary in outlets like The Conversation. Her work integrates clinical, forensic, and social psychological perspectives, emphasizing the importance of accurate diagnosis and gender-informed assessment. Her scientific recognition includes: Fellow of the Higher Education Academy Chartered Psychologist, The British Psychological Society Dr. Green is actively involved in teaching and academic leadership, serving as Programme Lead for the BSc Psychology with Criminology and Module Leader for Forensic Psychology. She supervises PhD students and welcomes research collaborations. Her professional experience includes grant acquisition and interdisciplinary research, often in collaboration with international scholars in psychology and psychiatry. She is affiliated with research teams focusing on personality disorders and contributes to academic discourse through book chapters and peer-reviewed journal articles. Her work is supported by a strong foundation in both clinical theory and empirical methodology.

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I-Shuo ChenView profile

Senior Lecturer

Anglia Ruskin UniversityUnited Kingdom

Dr I-Shuo Chen is a Senior Lecturer in Organisational Behaviour at the School of Management, Faculty of Business and Law, Anglia Ruskin University (ARU). He previously held academic positions at the University of Dundee and Wuhan University, China, and earned his PhD in Business Studies from Trinity College, Dublin. He is actively engaged in research and editorial work, serving as Associate Editor for Frontiers in Psychology – Organisational Psychology . Education and Qualifications: PhD in Business Studies, Trinity College, Dublin Fellow (FHEA), Higher Education Academy (UKPSF), 2018 IPMA-HR Senior Certified Professional, 2000 Research Interests: Dr Chen's research focuses on organisational behaviour, particularly work engagement, work-life balance, green human resource management, creativity, innovation, and higher education. His work explores how personal and organisational resources influence employee well-being and performance, especially in digital and remote environments. Themes such as online leisure crafting, home boredom, and intelligent learning systems are central to his recent investigations. Publications and Research Trends: His recent publications appear in high-impact SSCI and SCI journals such as Computers in Human Behavior , International Journal of Hospitality Management , and Journal of Air Transport Management . The research demonstrates a consistent focus on applying psychological and management theories to practical organisational and educational challenges, with an increasing emphasis on digital transformation, employee resilience, and sustainable HR practices. Scientific Awards and Memberships: Fellow (FHEA), Higher Education Academy (UKPSF), 2018 IPMA-HR Senior Certified Professional, 2000 Associate Member, Chartered Institute of Personnel and Development (CIPD), 2019 Member, Chartered Management Institute (CMI), 2019 Member, UKRI Future Leaders Fellowships Peer Review College, 2021 Member, European Association of Work and Organisational Psychology, 2017 Member, European Academy of Occupational Health Psychology, 2014 Advising, Grants, and Editorial Roles: Dr Chen serves as Associate Editor for Frontiers in Psychology and has been an ad hoc reviewer for numerous top journals including Human Relations , International Journal of Human Resource Management , and Journal of Happiness Studies . While no specific grants or students are listed, his extensive peer review and editorial board involvement indicate active scholarly leadership. Labs and Research Teams: Although no specific lab or research team is named, Dr Chen collaborates internationally and presents regularly at major conferences such as the Academy of Management (AOM) and European Association of Work and Organisational Psychology (EAWOP), suggesting active participation in global research networks.

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