Eduardo Velloso is a Professor of Computer Science at the University of Sydney , focusing on interaction design for emerging technologies . His work explores novel user experiences through input modalities, interaction devices, and AI/ML integration in systems. Education: PhD in Computer Science (Lancaster University, UK), Bachelor in Computer Engineering (Pontifical Catholic University of Rio de Janeiro, Brazil) Research Interests: Interdisciplinary work combining Human-Computer Interaction , Augmented/Virtual Reality , Eye Tracking , Wearable Computing , and Machine Learning . Publication Trends: Recent work addresses methodology in HCI , AR/VR applications , AI integration , and sensor-based interaction . Scientific Awards: Best Paper Award at CHI Best Paper Award at UIST Best Paper Award at TOCHI Best Paper Award at TEI Supervision: Actively supervises PhD students and collaborates with companies/government on projects like VR training systems and AI mediation tools . Labs/Teams: Affiliated with institutions in Australia (University of Sydney) and Brazil (PUC-Rio), with global co-authors in projects involving mixed reality , wearables , and AI ethics .
Miguel Mujica Mota is a Senior Lecturer at the Faculty of Technology, National Autonomous University of Mexico (UNAM), and a member of the Centre of Applied Research Technology. His research focuses on airport operations, multimodal transport systems, and simulation modeling. He has expertise in analyzing capacity challenges in multi-airport systems, particularly in Mexico City, and developing decision support systems for airport security and resource allocation. His work integrates sustainability and efficiency, addressing topics like environmental reporting in airlines and post-pandemic airport recovery strategies. Research Contributions: Dr. Mujica Mota has published extensively on airport capacity optimization, multimodal transport integration, and simulation-based methodologies. Key projects include the X-TEAM D2D initiative for door-to-door travel and the IMHOTEP project for smart passenger flow management. His work often involves collaboration with institutions like Schiphol Airport and the H2020 EU framework. Research Interests: Airport terminal design, air traffic management, simulation modeling, multimodal logistics, and sustainable aviation. Awards: A-BOOST Research Fund (2020) Beste paper award EMM2018 X-TEAM D2D Project Recognition (2020) Activities: Organized conferences like the 2023 EUROSIM Simulation Seminar and served on committees for events such as the 2024 Multilog Conference. Grants & Projects: Involved in EU-funded initiatives like H2020, focusing on multimodal integration and sustainable transport solutions. His research also explores climate change impacts on infrastructure and simulation-based validation approaches.
Prof. Marzena Stor is a Professor of Strategic International HRM and Head of the Department of Human Resources Management at Wrocław University of Economics in Poland. Her work focuses on HRM practices in multinational companies (MNCs), particularly in Central Europe, emphasizing how HR strategies influence organizational performance through factors like managerial competencies, employee development, and human-centric approaches. She leads empirical research on labor market dynamics, talent management, and the mediating roles of HR outcomes in crisis and non-crisis contexts. Research Interests: - HRM in Multinational Companies - Cross-Cultural HRM - AI & Digital Transformation in HR - Managerial Competency Development - Sustainable HR Practices - Employee Engagement & Retention Recent Work Trends: Her 2023-2025 publications highlight the mediating role of HR outcomes in linking managerial/employee development to financial and operational performance, with a focus on Central European MNCs. She also explores labor shortages in V4 countries and the impact of human-centric paradigms on organizational success. Cooperation & Grants: Open to socio-economic collaborations, she advises doctoral students in international HRM and has conducted studies funded by EU regional initiatives. Her work bridges academic research and business practice, often involving multinational corporations in Poland and CEE. Labs/Teams: Leads research teams at the Department of Human Resources Management, collaborating with international partners on large-scale HRM surveys and MNC subsidiary studies.
Professor Gail S. Goodman, a Distinguished Professor of Psychology at the University of California, Davis, is a pioneering scholar in developmental psychology and psychology-law intersections. She directs the Center for Public Policy Research and has established foundational research in children's eyewitness memory and child victims' experiences in legal contexts. Ph.D., M.A., B.A. in Psychology from the University of California, Los Angeles Her research focuses on memory development and children's roles as witnesses, examining trauma-memory relationships, attachment influences, emotional regulation, and forensic interview techniques. Her work has informed legal policies and been cited in U.S. Supreme Court decisions. Key trends in her recent publications include trauma's impact on memory accuracy, false memory balancing, and courtroom dynamics for child witnesses. Her studies span developmental psychology, forensic science, and trauma recovery. 2017 APSAC Handbook chapter on child interview techniques 2017 American Psychologist review on trauma memory and counseling 2016 chapters on memory development and trauma psychopathology Professor Goodman has received numerous accolades, including APA's Urie Bronfenbrenner Award, APS's James McKeen Cattell Award, and an Honorary Doctorate from the University of Oslo. She has also earned teaching and mentoring awards at UC Davis. As Director of UC Davis's Center for Public Policy Research, she consults with global agencies on child maltreatment policies and leads interdisciplinary teams studying memory, trauma, and legal systems. Her work bridges academic research with practical applications in law and child welfare.
Dr. Elizabeth Linos is the Emma Bloomberg Associate Professor of Public Policy and Management at Harvard Kennedy School of Government and Faculty Director of The People Lab. Her work bridges behavioral science and public management to improve government operations and services. Prior roles include Assistant Professor at UC Berkeley, VP and Head of Research at Behavioral Insights Team North America, and policy advisor to Greek Prime Minister George Papandreou Founded The People Lab (2017), which collaborates with government agencies to address real-time challenges Research focuses on government workforce recruitment, resident-state interactions, and evidence-based policymaking Her research explores behavioral interventions in public sector contexts, with significant contributions to understanding stigma in social programs , organizational inertia in evidence adoption , and intersectional workplace dynamics . Recent work investigates cost-effective nudge strategies for anti-poverty benefits and international healthcare recruitment . Notable scientific awards include the David N. Kershaw Award (2023), recognition as a top 10 local government influencer by ELGL, and inclusion in Apolitical's 100 most influential academics in government. Her sponsored projects address evidence adoption, healthcare recruitment, and benefits take-up barriers. She has served on advisory boards for the American Heart Association , OECD , and Democracy Forward Foundation , and her work has been featured in Nature Human Behaviour , Econometrica , and Harvard Business Review .
Dr Andrew Coles is a Reader in Artificial Intelligence at the Department of Informatics, King's College London, within the Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on temporal and numeric planning, explainable planning, and human-robot collaboration. He leads and co-investigates multiple research projects funded by EPSRC, the Royal Academy of Engineering, and the European Commission. His research interests include Artificial Intelligence, Temporal and Numeric Planning, Planning with Rich Domain Models, Explainable Planning, Human-Robot Interaction, Autonomous Systems, Heuristic Search, and Decision-Making. He has published extensively in top-tier AI and robotics conferences such as ICAPS, IROS, HRI, AAAI, and IJCAI. His recent publications demonstrate a strong trend toward explainable AI in human-robot collaboration, with a focus on multimodal sensing (e.g., eye tracking), user needs for explanation, and adaptive planning. His work integrates planning algorithms with human-centered evaluation and real-world applications in robotics. Scientific Awards: International award for PhD thesis on assistive robots (2020) Advising and Grants: Dr Coles has supervised multiple students, including Lara Wachowiak, Guillem Canal, and Petra Tisnikar. He has led or co-investigated several major research projects, including: COHERENT (EPSRC): Collaborative Hierarchical Robotic Explanations Plan and Goal Reasoning for Explainable Autonomous Robots (Royal Academy of Engineering) ADE (European Commission): Autonomous Decision Making in Very Long Traverses ERGO (European Commission): European Robotic Goal-Oriented autonomous controller Labs and Teams: He is affiliated with the Reasoning and Planning research group and the Trusted Autonomous Systems Hub at King's College London, focusing on developing trustable autonomous systems through robust planning and human-centered AI.
Prof. Dr. Metin Sitti is a leading academic and researcher currently serving as Director at the Max Planck Institute for Intelligent Systems and affiliated faculty at Carnegie Mellon University's Robotics Institute and Koç University's Schools of Medicine and Engineering. His interdisciplinary work bridges robotics, materials science, and biomedicine. His research interests center on medical microrobotics , bio-inspired robotics , and physical intelligence , exploring how intelligent behaviors can emerge from material properties and system design. He leads the Physical Intelligence Research Group , pioneering novel approaches in soft and micro-robotic systems. The scientific publications attributed to Prof. Sitti span diverse areas including micro-robotic locomotion, stimuli-responsive materials, and collective behavior in synthetic systems. Though specific titles are not listed, his body of work consistently contributes to robotics, nanotechnology, and biomedical engineering. Rahmi M. Koç Science Award ERC Advanced Grant IEEE Fellow National Science Foundation CAREER Award SPIE Nanoengineering Pioneer Award IEEE/ASME Best Mechatronics Paper Award Robotics: Science and Systems Conference Best Paper Award IEEE/RSJ Intelligent Robot Systems Conference Best Paper and Video Awards IEEE Robotics and Automation Conference Best Paper and Video Awards IEEE Robotics and Biomimetics Conference Best Paper and Video Awards Prof. Sitti has secured major grants including the ERC Advanced Grant and NSF CAREER Award, supporting high-impact research in intelligent materials and robotic systems. He has mentored numerous researchers and students across institutions, though specific advisees are not listed. His entrepreneurial initiative led to the founding of nanoGriptech Inc. in 2009, commercializing gecko-inspired microfiber adhesives. He leads the Physical Intelligence Department at the Max Planck Institute, where his team develops novel robotic materials and microsystems that exhibit intelligence through physical design rather than computation alone.
Brent Doberstein is an Associate Professor in the Department of Geography and Environmental Management at the University of Waterloo, Faculty of Environment. His research and teaching focus on disaster risk reduction, climate change adaptation, and sustainable resource management, particularly in developing countries across Asia and in Canada. His research interests include: Hazards and disaster risk reduction Climate change adaptation and managed retreat Post-disaster reconstruction and institutional capacity building Sustainable resource and environmental management Parks and protected areas Over the next five years, he is particularly interested in supervising graduate students in themes related to disaster risk reduction, climate adaptation, and managed retreat. His recent publications reflect a strong emphasis on community resilience, policy evaluation, and cross-national comparisons, especially in Southeast Asia and Canada. Key trends in his work include the integration of local knowledge, social equity in disaster recovery, and innovative frameworks like the PARA model for flood risk management. His scientific contributions are recognized through publications in leading journals such as International Journal of Disaster Risk Reduction , Climate and Development , and Disasters . Dr. Doberstein actively supervises graduate students, many of whom are co-authors on his recent publications. He has taught courses including GEOG101, GEOG306, GEOG356, and led field research in Indonesia. He has also been involved in research projects related to flood recovery in Canada and post-disaster adaptations in countries like the Philippines, Bangladesh, and Thailand. He leads research initiatives centered on post-disaster adaptations at individual, community, and national levels, often working with interdisciplinary teams and international collaborators. His work contributes significantly to policy development and community resilience planning in vulnerable regions.
Xin Sun is a Senior Lecturer in Chinese and East Asian Business at the Lau China Institute and King's Business School, King's College London. He holds a PhD in Political Science from Northwestern University, a BA in Chemistry and Economics from Peking University, and an MA in Economics from the Chinese Academy of Sciences. Prior roles include positions at the University of Oxford and Trinity College Dublin. Research Interests: Political economy of China, government-business relations, land politics, rural governance, authoritarian institutions, and research methodology. Current projects focus on land institutions, housing markets, and the interplay between formal/informal political practices. Teaching: Courses include 'Political Economy of China', 'Business and Entrepreneurship in Contemporary China', and 'Doing Business in China'. Affiliations: Member of research groups examining urban-rural development, authoritarianism/populism, and Chinese international investments. Active in King’s Global Institutes and the Lau China Institute. Grants/Advising: Supervises PhD students on Chinese political economy topics. No specific grants listed, but extensive publications indicate ongoing research funding. Labs/Teams: Collaborates with research groups on China’s urbanization, rural development, and authoritarian political dynamics.
Professor Martin Coppack is a Professor of Practice in Financial Inclusion and Consumer Policy at the University of Birmingham's School of Social Policy and Society, affiliated with the Centre on Household Assets and Savings Management (CHASM). His work focuses on advancing consumer-centric policies, particularly for low-income and vulnerable groups, with significant contributions to regulatory frameworks in essential services. He holds multiple advisory roles, including memberships in the HM Treasury Financial Inclusion Committee and the Pay.UK End User Advisory Committee. Education: MSc Consumer Studies, Syracuse University, 1998 Diploma in Special Education, College of Preceptors, 1996 Post Graduate Certificate of Education (Further Education), Keele University, 1995 BSc (Hons) Human Ecology, Bath Spa University, 1994 Research Interests: Eliminating the poverty premium in essential services Consumer vulnerability and inclusive design in financial systems Advocacy for regulatory policies prioritizing vulnerable consumers His publications highlight systemic issues in financial services, advocating for equitable access and policy reforms. He has led impactful initiatives, such as the Big Lottery Fund’s £31.7 million financial inclusion program and Fair By Design’s work on the poverty premium. Grants & Advisory Roles: Directed the Fair By Design initiative, shaping UK policy debates on fairness in essential services. Consulted widely with regulators, governments, and NGOs on consumer rights and financial inclusion. Labs & Teams: Active contributor to CHASM, focusing on household financial resilience and policy innovation.
Dr. Philippe Campeau is an Associate Clinical Professor in the Department of Pediatrics at the Faculty of Medicine, Université de Montréal. He is affiliated with CHU Sainte-Justine, a major pediatric hospital in Montreal, Quebec, where he works in the Medical Genetics Service. His clinical and research work focuses on genetic disorders affecting children, particularly in the areas of skeletal development and neurogenetics. Dr. Campeau obtained his Doctorate in Medicine from Laval University in Quebec (1998-2003) followed by specialty training in medical genetics at McGill University (2003-2008). He completed postdoctoral training at Baylor College of Medicine (2008-2013), which further developed his expertise in genetic research methodologies. His primary research interests include bone dysplasias , skeletal dysplasias , epilepsy , and epigenetic diseases . Dr. Campeau's laboratory identifies disease-causing genes, deciphers disease pathophysiology, and works to improve the management of children affected by these conditions. His work encompasses exome analysis , functional studies with cell lines and mouse models , and investigations into urea cycle abnormalities . He has made significant contributions to understanding genetic causes of conditions such as Genitopatellar syndrome (KAT6B), osteopetrosis, dysosteosclerosis (SLC29A3), osteogenesis imperfecta, early-onset osteoporosis (WNT1), Yunis-Varón syndrome (FIG4), and DOORS syndrome (TBC1D24). Dr. Campeau's publication record demonstrates a strong trajectory in medical genetics research, with numerous high-impact publications spanning from fundamental genetic discovery to translational research. His work spans skeletal disorders, neurodevelopmental conditions, and epigenetic mechanisms. Recent publications indicate an expanding focus on chromatin modifiers, DNA methylation patterns, and spliceosome function in neurodevelopmental conditions, reflecting the evolution of his research interests toward more complex molecular mechanisms. Dr. Campeau has received several research grants in recent years (6 starting in 2014) from organizations including the Fonds de la recherche en santé du Québec, Canadian Institutes of Health Research, and Fondation Grand Défi Pierre Lavoie. While specific students are not mentioned in the available information, as a clinical professor, he mentors medical students, residents, and research trainees in the Department of Pediatrics. His research is conducted as part of the 'Musculoskeletal Diseases and Rehabilitation' axis at CHU Sainte-Justine Research Center, where he collaborates with international research teams to identify disease-causing genes and develop better management strategies for children with genetic disorders.
Slavko Alčakovic is a Visiting Professor at the University of Singidunum in Belgrade, Serbia. Holding a PhD in Marketing and Trade from the same university, his academic journey includes a Master's in Financial Management and Investment Banking from Lincoln University (2008-2010) and a Bachelor's in Accounting and Auditing from the University of Singidunum (2004-2008). He primarily focuses on digital marketing, sports marketing, and consumer behavior, with particular interest in Super Bowl advertising trends, generational marketing, and media digitalization impacts. Education: BSc in Accounting & Auditing, University of Singidunum (2004-2008) MSc in Financial Management & Investment Banking, Lincoln University (2008-2010) PhD in Marketing & Trade, University of Singidunum (2010-2013) Research Focus: His work examines digital marketing innovations (including NFTs and AI applications), political communication shifts from traditional to digital media, and hybrid learning dynamics. Publications frequently analyze Super Bowl advertising patterns (2017-2025), Generation Z's market behavior, and team cohesion in sports contexts. Collaborative Work: Frequently collaborates with scholars like A. Belačić, V. Gavranović, and I. Savić across disciplines including marketing, education, and sports psychology. His research spans both academic journals (e.g., The European Journal of Applied Economics ) and international conferences (Sinteza, SINERGIJA).
Professor Marie Griffiths is a distinguished academic and expert in digital transformation at Salford Business School, University of Salford. She holds the position of Professor of Digital Technologies in Organizations and serves as EDI Lead for Research (2023–present). Her academic career includes significant leadership roles such as PGR Director at Salford Business School (2019–2023) and Head of the Digital Business Research Centre. She previously served as President of the UK Academy for Information Systems (UKAIS) after her tenure as Vice President. Dr. Griffiths earned her PhD in Business Information Systems, establishing the foundation for her expertise in digital transformation. Her research spans multiple critical areas including digital transformation, information systems, gender and IT, AI and disruptive technologies, digital society, privacy and surveillance studies, family surveillance, productivity technologies, and digital education. Her work consistently bridges academic theory with practical business applications, focusing on how organizations respond to digital disruptions and how workforces adapt to emerging technologies. Her recent publications reveal a strong focus on strategic digital transformation, digital maturity assessment, and the intersection of technology with social impact. The 2025 second edition of her book 'Strategic Digital Transformation – A Results-Driven Approach' represents a significant contribution to the field. Her research increasingly addresses the gender dimensions of digital transformation, as evidenced by her 2024 work on closing the REF Gender Inequality Gap. She also explores the practical applications of digital technologies in specific sectors including government organizations, healthcare (particularly nursing), and financial technology. Vice-Chancellor's Distinguished Teacher Awards (multiple) Professor Griffiths has supervised 14 PhD completions and currently oversees doctoral candidates researching fintech, digital transformation, and sustainability. She established the PGR International Women's Network to support female researchers. Her grant leadership includes 11 Knowledge Transfer Partnerships (KTPs) with organizations like Manchester Chamber of Commerce, OPAL, and Hydro-X, securing significant funding from Innovate UK. She has also contributed to policy development through work with the British Standards Institute Steering Group for Digital Maturity. As Head of the Digital Business Research Centre, Professor Griffiths leads a team focused on practical digital transformation research with strong industry connections. Her approach emphasizes people-centric transformation, ensuring that people remain at the heart of any change. The centre's work spans multiple sectors including government, healthcare, finance, and small and medium enterprises, with a particular focus on developing practical tools like digital transformation canvases for different organizational contexts.
Chen Sun is an Assistant Professor of Computer Science at Brown University and a part-time Staff Research Scientist at Google DeepMind . His research bridges computer vision, machine learning, and artificial intelligence , focusing on multimodal representation learning, visual commonsense, and controllable video generation . He directs the PALM🌴 research lab , which explores scalable models for robotic planning, video understanding, and human activity recognition . Chen Sun earned a Ph.D. in Computer Science from the University of Southern California (2016) , advised by Professor Ram Nevatia , and a Bachelor of Science in Computer Science from Tsinghua University (2011) . His lab's work has been supported by Adobe, Honda, Meta, NASA, and Samsung , and he is affiliated with the NSF AI Research Institute on Interaction for AI Assistants . His research spans multimodal transformers, embodied agents, and physics-informed video generation . Key trends include Learning from unlabeled videos for human activity recognition Developing controllable generation techniques using motion trajectories and physics-based signals Advancing scalable frameworks for video-language tasks Scientific awards include the Brown University Richard B. Salomon Faculty Research Award and Samsung Global Research Outreach Award . He has served as Workshop Chair (CVPR 2025) , Action Editor (TMLR) , and Area Chair for top conferences like ICLR, CVPR, and NeurIPS . Chen Sun mentors a dynamic team including Ph.D. students Apoorv Khandelwal (Presidential Fellow) Calvin Luo (Research Mobility Fellow) Nate Gillman (Math Department) Shijie Wang Tian Yun (co-advised with Ellie Pavlick) Yuan Zang Zilai Zeng Zitian Tang and alumni now pursuing Ph.D. programs at Princeton, Cornell, UBC, and UNC . His teaching portfolio includes graduate-level courses on Deep Learning (CSCI 2470) , Advanced Topics in Deep Learning (CSCI 2952N) , and a short course on Multimodal Transformers at ICASSP 2022 and AAAI 2023 .
Ziyu Yao is an Assistant Professor in the Department of Computer Science at George Mason University , co-leading the George Mason NLP Group . He is affiliated with the C4I & Cyber Center , Center for Advancing Human-Machine Partnership , and Institute for Digital InnovAtion at GMU. PhD in Computer Science and Engineering from Ohio State University (2021) Internships: Microsoft Semantic Machines, Carnegie Mellon University, Microsoft Research, Fujitsu Lab of America, Tsinghua University Research Interests: Focus on Natural Language Processing (NLP) and Artificial Intelligence (AI) , particularly advancing LLM systems through knowledge grounding , reasoning , and planning . Key areas include: Mechanistic Interpretability for LLMs Interactive Semantic Parsing/Code Generation Responsible and Trustworthy NLP Interfaces Interdisciplinary Applications in Mathematics Education and Network Communication Recent Articles (2024-2025) explore trends in LLM cascading for cost efficiency, mechanistic interpretability surveys, vision-language model reasoning, and interdisciplinary educational technology. Collaborations span institutions like Microsoft Research , William & Mary , and University of Cambridge . Scientific Awards: Presidential Fellowship (OSU Graduate School, 2020) Graduate Student Research Award (OSU CSE, 2021) Top Reviewer at NeurIPS 2023 Advising & Grants: Mentors PhD students like Murong Yue , Hao Yan , and Mohamed Aghzal . Leads NSF projects on AI-driven Mathematics Education and LLM Interpretability , alongside grants from Commonwealth Cyber Initiative and Microsoft Accelerate Foundation Models Research . Organized workshops at COLM 2025 and ICML 2025 . Labs & Teams: Co-leads the NLP Lab at GMU and collaborates with the MathVC NSF Project team (w/ Jennifer Suh, William & Mary). Develops platforms like Gentopia for tool-augmented LLMs and IntelliExplain for non-professional programmers.
