Weiwei Lin is an Associate Professor in the Department of Civil Engineering at Aalto University, specializing in structural engineering with a focus on bridge systems, composite materials, and structural health monitoring. His research explores fatigue behavior of steel structures, seismic performance of composite systems, and innovative repair techniques. He holds a PhD from Waseda University (2012), MSc from Southeast University (2009), and BEng from Southwest Jiaotong University (2006). Key research areas include: steel-concrete composites, bridge redundancy evaluation, replaceable energy dissipaters, and AI-driven infrastructure diagnostics. Lin leads projects like CCU Structure (EU Horizon Europe) and RCF Mobility initiatives, focusing on sustainable construction and material recyclability. He has published 120+ peer-reviewed articles and secured 6 major grants. Lin has received prestigious awards including the IABMAS Young Award (2014) and Outstanding Reviewing Award (2017). His lab collaborates globally, hosting researchers from institutions like Israel Institute of Technology and Tsinghua University. Current work emphasizes crowdsourcing-based bridge monitoring and physics-guided AI frameworks for infrastructure diagnostics.
Ivon Arroyo is a Professor in the Department of Teacher Education & Curriculum Studies (TECS) at the University of Massachusetts Amherst. Her research focuses on integrating novel technologies into math and computational thinking education, emphasizing affective and metacognitive states. She develops intelligent tutoring systems, such as COVES, which personalize learning in real-time and utilize facial expression recognition to enhance engagement. Her work on WearableLearning explores embodied, physically active multiplayer games for K-12 classrooms, leveraging mobile devices and wearable technologies to create immersive learning experiences. Dr. Arroyo holds an Ed.D. (2003) and M.S. (2000) from UMass Amherst and a B.S. from Universidad Blas Pascal in Argentina (1995). She has been recognized with multiple awards, including Best Paper Awards at the 2009 International Conference on Artificial Intelligence in Education and the 2010 Educational Data Mining Conference, a Fulbright Fellowship (1996), and a 1994 undergraduate prize for computer vision research. Her research interests span interdisciplinary areas such as Learning Sciences , Computer Science , Data Science , and Psychology . She prioritizes culturally responsive pedagogical agents and cross-cultural studies in educational technology, particularly in Argentina, India, and the U.S. Her projects often address challenges in developing countries, including localization of tutoring systems to Spanish. Advising and grants are central to her work, with grants like the NSF CAREER Award (2020) supporting embodied math classrooms. She collaborates on teacher dashboard frameworks and explores ethical AI integration in education. Her labs focus on creating tools that merge computational innovation with theoretical learning science principles, emphasizing real-world applications like the WearableLearning Cloud Platform.
Helena Webb is a Visiting Lecturer in the Department of Computer Science at the University of Oxford, where she contributes to research and teaching within the Human Centred Computing theme. Her work bridges social science and computer science, focusing on responsible innovation, AI ethics, and user interactions with digital technologies. PhD in Social Sciences, University of Nottingham Bachelor’s in Social and Political Sciences, University of Cambridge Former Senior Researcher, University of Oxford Department of Computer Science Researcher at Work, Interaction and Technology (WIT) Research Centre, King’s College London (2009–2014) Her research interests include human-computer interaction, algorithmic fairness, privacy in smart homes, and ethical design of social robots. She specializes in qualitative research methods and interdisciplinary collaboration to understand how technology shapes and is shaped by social practices. She has led and contributed to major projects such as Digital Wildfire , UnBias , ReEnTrust , and RoboTIPS , all focused on responsible governance and design of digital systems. Her recent publications span topics from algorithmic accountability to ethical black boxes in robotics, reflecting a strong trend toward integrating ethical considerations into the technical design of AI and interactive systems. These works emphasize participatory design, transparency, and societal impact. Scientific Awards and Recognition: Named one of the Brilliant Women working in AI Ethics She actively supervises and co-supervises students, contributes to ethics education, and is involved in outreach and diversity initiatives at Oxford. She has also served on the Departmental Equality and Diversity Committee and the Research Ethics Committee. Helena is a member of the advisory board for the ReEnTrust project and continues to develop the ethical hackathon model with colleagues. Her work exemplifies a deep commitment to interdisciplinary, socially responsible research in computing.
Harvey NEO is a Professorial Research Fellow at Singapore University of Technology and Design (SUTD), leading the Cities and Urban Science programme at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC). He holds a PhD in Geography from Clark University, USA, and previously served as an Associate Professor at the National University of Singapore (NUS). His research focuses on urban sustainability, citizen-centric urban science, and nature-society interactions. He is the Southeast Asian editor for Human Geography and Frontiers in Sustainable Cities , and sits on multiple international advisory boards. Key roles include Director of SUTD's Master in Urban Science, Policy and Planning programme, and co-leader of the Tote Board's Future Ready Society initiative. Education: PhD, Graduate School of Geography, Clark University (2007); MSc, Geography, NUS (2002); BA (Hons), NUS. Research interests emphasize urban futures, participatory governance, and environmental policy, with a focus on Southeast Asian cities like Ho Chi Minh City, Jakarta, Manila, and Phnom Penh. His work bridges academia and practice through projects on electric vehicle policies, urban heat adaptation, and 3P+ (People, Public, Private + Academia) partnerships. Publications span urban mobility, pandemic responses, and eco-city development, reflecting a commitment to interdisciplinary solutions for sustainable urbanization. He has secured grants from Singapore’s Social Sciences Research Council and Housing Development Board, fostering collaborations across sectors to address societal challenges. Labs/Teams: LKYCIC's Urban Environmental Sustainability Programme and the Future Ready Society Initiative, which integrate research with policy and community action.
Nelly V. Litvak is a Full Professor in Algorithms for Complex Networks at Eindhoven University of Technology (Mathematics and Computer Science). She works on mathematical methods and algorithms for complex networks (social networks, WWW) using random graph models. She joined TU/e as a part-time professor in 2017 after being an Associate Professor at the University of Twente since 2012. Affiliations: 4TU Applied Mathematics Institute, Data Science Center Eindhoven, CTIT Industry Partners: ABN-AMRO Bank, Philips Lighting, Thales Editorial Role: Managing Editor of Internet Mathematics Her research focuses on extracting value from network data across three areas: (1) Information extraction and prediction, (2) Mathematical analysis of network characteristics, and (3) Efficient algorithms for incomplete network data. Key topics include PageRank, HITS algorithm, random graphs, homophilic networks, and network epidemiology. Recent work (2022-2025) spans network growth mechanisms, fairness in ranking algorithms, educational pedagogy, and pandemic forecasting dashboards. She contributes to SDGs through data-driven approaches to societal challenges. Teaching activities include course development at TU/e and earlier institutions, with innovative methods for computer engineering students' statistical understanding.
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.
Matt Ratto is a full Professor in the Faculty of Information at the University of Toronto , where he also serves as Associate Dean, Research . He is a faculty affiliate of the Climate Positive Energy Institute , the Schwartz Reisman Institute for Technology and Society , and an SDG Fellow with the Sustainable Development Goals Institute . His work bridges critical theory and digital innovation , focusing on the social production of knowledge through emerging technologies. His research explores critical making and socio-technical systems , with applications in 3D-printed prosthetics (deployed in Cambodia, Tanzania, and Uganda), AI-driven healthcare solutions , and climate justice in computing . He has received over $6 million in funding, including two Canada Grand Challenge grants , and founded organizations advancing equitable technology access. Ontario Minister of College and Universities’ Award of Excellence (2020) Bell Canada Usability Labs Chair in Human-Computer Interaction (2018–2023) He supervises students such as Olivia Doggett and Sarah Gram , with past advisees including Brian Sutherland and Dan Southwick . His Critical Making Lab fosters interdisciplinary collaboration, and he teaches courses like INF2241: Critical Making and INF351: Information Design Studio .
Patrick Brown is an Associate Professor at the University of Toronto , affiliated with the Department of Statistical Sciences and cross-appointed to the Centre for Global Health Research and St. Michael's Hospital . His research focuses on spatio-temporal data modeling , Bayesian inference , and non-parametric methods for spatial epidemiology and environmental sciences. Fields of Interest : Spatial Statistics, Cancer Statistics, Statistical Software Education : PhD from University of Lancaster His methodological work encompasses Bayesian inference for non-Gaussian spatial data, Gaussian Markov random fields, and computational techniques like INLA and MRA. Applied research themes include disease mapping, environmental risk assessment, and public health surveillance using real-world data sources such as electronic health records and wastewater monitoring . He has developed key R packages (mapmisc, geostatsp, diseasemapping) supporting spatial statistical applications. Current collaborative projects span diverse fields: Ultra-diffuse galaxy detection with astrophysical applications Multi-pollutant mortality studies in Canadian cities SARS-CoV-2 seropositivity tracking Homelessness population estimation using EHR Geospatial cancer risk tools for Nova Scotia His work bridges statistical innovation with global health challenges , emphasizing computationally efficient solutions for large-scale spatiotemporal datasets.
Ryan K. McBain is a Senior Policy Researcher at the RAND Corporation and an Adjunct Professor of Policy Analysis at the RAND School of Public Policy. His work focuses on designing and evaluating health policies targeting vulnerable populations, including those affected by mental health conditions, HIV/AIDS, homelessness, and poverty. He employs methodologies such as econometric analysis, cost-effectiveness modeling, and qualitative research. Internationally, he collaborates with organizations like the World Bank, WHO, and Partners In Health in sub-Saharan Africa and Haiti. McBain holds a D.Sc. and M.Sc. in Global Health (Health Economics & Policy Analysis) from Harvard University and a B.A. in Psychology from Gordon College and Oxford University. His research emphasizes telehealth trends, mental health crisis systems (e.g., 988 hotline preparedness), and the intersection of housing and healthcare access. He advocates for evidence-based solutions to address systemic inequities in healthcare delivery and advocates caution in leveraging AI for mental health interventions. Education: D.Sc. and M.Sc. in Global Health from Harvard University; B.A. in Psychology from Gordon College and Oxford University. Key Research Themes: Mental Health Policy, HIV/AIDS Programs, Telehealth Expansion, Homelessness Solutions. McBain’s recent work includes analyzing psychiatric bed shortages, evaluating permanent supportive housing programs, and assessing the competency of AI models in mental health contexts. He emphasizes interdisciplinary collaboration to bridge gaps between research and policy implementation.
Anne Holland is Professor of Physiotherapy and Head of Respiratory Research at Monash University and Alfred Health in Melbourne, Australia. She is an NHMRC Leadership Fellow (2021–2025) and a Chief Investigator for the NHMRC Centre of Research Excellence in Pulmonary Fibrosis and the NHMRC Centre of Research Excellence in Treatable Traits. Her research focuses on supportive therapies for chronic respiratory diseases, particularly COPD and pulmonary fibrosis, with a strong emphasis on pulmonary rehabilitation, telerehabilitation, and ambulatory oxygen therapy. Her research interests include: Respiratory physiotherapy Pulmonary rehabilitation (home-based and low-cost models) Access to care for chronic lung disease Telerehabilitation and digital health Symptom management in interstitial lung disease Exercise training and physical activity promotion Her recent publications focus on symptom management, digital self-management tools, treatable traits models, and clinical trials in pulmonary fibrosis and COPD. The body of work reflects a strong trend toward patient-centered, accessible, and evidence-based interventions that improve quality of life and clinical outcomes in chronic respiratory conditions. Her major scientific awards include: Society Medal, Thoracic Society of Australia and New Zealand (2021) European Respiratory Society Gold Medal for Allied Health Professionals (2022) NHMRC Investigator Fellow (Leadership 1) (2021) Fellow, Thoracic Society of Australia and New Zealand (2019) American Thoracic Society Pulmonary Rehabilitation Assembly Award (2016) Anne Holland supervises PhD students and is actively involved in advising and grant leadership. She is the Primary Chief Investigator on major trials such as the PERFORM trial and the TAPPET trial, and she leads a multinational ambulatory oxygen trial for fibrotic lung disease. Her work is supported by NHMRC and international collaborations. She is also President of the Thoracic Society of Australia and New Zealand, reflecting her leadership in the field. Anne leads the Holland Respiratory Care Research Group at Monash, which focuses on innovative models of care delivery, validation of remote monitoring tools, and improving patient self-management in chronic lung disease. The team collaborates widely across Australia and internationally, particularly in trials involving pulmonary rehabilitation and treatable traits.
Emmanuel Saez is a Professor of Economics and Director of the Stone Center on Wealth and Income Inequality at the University of California, Berkeley , where he has been a leading figure in the Department of Economics within the College of Letters and Science. His research is foundational in the study of income and wealth inequality, optimal taxation, and empirical public policy. His academic journey began with a PhD from MIT in 1999. His work, particularly in collaboration with Thomas Piketty and Gabriel Zucman, has revolutionized how economists measure and understand economic inequality. He is best known for constructing long-term top income share series, which reveal the dramatic rise in U.S. inequality since the 1980s. His influential 2019 book, The Triumph of Injustice , co-authored with Gabriel Zucman, presents a compelling critique of the decline in U.S. progressive taxation and proposes bold policy reforms for the 21st century. Saez's recent research spans a wide range of topics including real-time inequality measurement, wealth tax enforcement, labor market dynamics for older workers, and macroeconomic models of unemployment. His publications, often appearing in top journals like the Quarterly Journal of Economics , American Economic Review , and Brookings Papers on Economic Activity , consistently focus on empirical analysis with direct policy relevance. His work shows a strong trend toward integrating macroeconomic models with distributional data and evaluating the real-world impact of fiscal and social policies. John Bates Clark Medal, American Economic Association, 2009 MacArthur 'Genius' Fellowship, 2010 Honorary degree from Harvard University, 2019 Saez is deeply involved in mentoring and advising, though specific student names are not listed in the provided texts. He has been instrumental in major data initiatives such as the World Inequality Database (WID.world) and Real-Time Inequality , which provide open-access, high-quality data on economic distribution. He has also secured significant research funding from foundations like the Bill & Melinda Gates Foundation, the Russell Sage Foundation, and the Alfred P. Sloan Foundation. He leads the Stone Center on Wealth and Income Inequality, fostering interdisciplinary research on economic disparity.
Jerry Zeyu Gao is a Professor in the Department of Computer Engineering at San Jose State University, part of the Charles W. Davidson College of Engineering. He maintains active office hours and has a strong presence in both academic and industry domains, combining over 15 years of academic experience with more than 10 years in software engineering and IT development management. His research spans a wide range of cutting-edge areas in computing, including: Cloud Computing and Services Software as a Service (SaaS) and Testing as a Service (TaaS) Test Automation Mobile Computing and Mobile Cloud Technologies Software and Service Engineering Mobile Sensor Technologies Smart Cities infrastructure Dr. Gao has published over 180 papers in top-tier IEEE and ACM journals and conferences, and has co-authored three technical books while editing several others in software engineering and mobile computing. His scholarly output reflects a strong focus on practical, scalable solutions in cloud, mobile, and service-oriented systems. The publications show consistent themes in automation, service delivery, distributed architectures, and real-world software validation. He has played a leadership role in the international research community, having served as conference chair, program co-chair, and workshop co-chair for numerous prestigious events such as IEEE MobileCloud, IEEE SOSE, SEKE, and others between 2004 and 2015. These roles highlight his influence and recognition in the software engineering and cloud computing communities. Dr. Gao advises students and contributes to graduate and undergraduate education, although specific advisees are not listed. He is involved in research projects and likely secures external funding given his publication and conference leadership activities, though specific grants are not mentioned. He is associated with research initiatives related to mobile systems, cloud services, and smart city technologies.
Danny Yagan is a Researcher at the University of California, Berkeley Department of Economics, with expertise in public economics, taxation, and income inequality. He contributes to the National Bureau of Economic Research (NBER) and the Conference on Research in Income and Wealth. His research focuses on fiscal policy, including deficit sustainability and the "growth dividend" concept. He has extensively studied pass-through business entities' impact on labor income share and inequality, using administrative tax data to analyze wealth distribution and taxation of top earners. Recent work examines spatial inequality trends, place-based redistribution, and the role of colleges in intergenerational mobility. Collaborations with scholars like Raj Chetty, Emmanuel Saez, and Owen Zidar highlight his interdisciplinary approach. Yagan's publications span topics including tax reform, capital taxation, and household investment behavior. He is actively involved in policy analysis and empirical economic research.
Cecilia R. Aragon is a Professor in the Department of Human Centered Design & Engineering at the University of Washington, where she also serves as an Adjunct Professor in Computer Science & Engineering, Electrical and Computer Engineering, and the Information School. She is additionally a Senior Data Science Fellow at the eScience Institute. Aragon directs the Human-Centered Data Science Lab and has made significant contributions at the intersection of human-computer interaction and data science. Her research interests focus on human-centered data science, human-centered artificial intelligence, human-centered machine learning, human-computer interaction (HCI), computer-supported cooperative work (CSCW), visual analytics, aviation and astronautics sociotechnical systems, and emotion in informal text communication. Aragon's work bridges technical and social aspects of data science, particularly examining how humans interact with and gain insight from large datasets through both quantitative and qualitative methods. Aragon's recent publications demonstrate a strong focus on understanding online communities, sentiment analysis, distributed mentoring systems, and the ethical implications of AI. Her work spans multiple disciplines including social computing, data visualization, and astrophysics data analysis, showing her interdisciplinary approach to human-centered data science. Presidential Early Career Award for Scientists and Engineers (PECASE) 2008 Fulbright Fellowship 2017-18 HCDE Faculty Innovator in Research Award, University of Washington, 2015 Distinguished Alumni Award, Computer Science, University of California, Berkeley, 2013 Top 25 Women of the Year, Hispanic Business Magazine, 2009 Aragon has secured over $28 million in research funding from organizations including the National Science Foundation, National Institute of Standards and Technology, Department of Energy, Gordon and Betty Moore Foundation, Alfred P. Sloan Foundation, Washington Research Foundation, and industry partners like Microsoft and Intel. Her educational background includes a Ph.D. in Computer Science from UC Berkeley (2004), an M.S. in Computer Science from UC Berkeley, and a B.S. with Honors in Mathematics from Caltech. She leads the Human-Centered Data Science Lab and is affiliated with the eScience Institute, the Nearby Supernova Factory, and various research groups focused on data-intensive scientific collaborations. Her work on collaborative visual analytics systems like Sunfall has had significant impact in both academic and applied settings.
