Yu-Ru Lin is an Associate Professor at the School of Computing and Information, University of Pittsburgh, and serves as Research & Academic Director at the Institute for Cyber Law, Policy and Security (Pitt Cyber). She leads the Pitt Computational Social Dynamics Lab (PICSO Lab) and holds secondary appointments in Political Science, Computer Science, and the Intelligent Systems Program. PhD in Computer Science from Arizona State University Postdoctoral research at Harvard University and Northeastern University Her research focuses on computational approaches for: Networked social dynamics High-dimensional social information summarization Trust and distrust propagation Misinformation detection Policy diffusion analysis Recent publications span 2014-2020, covering: Social media crisis response Graph visualization techniques Policy diffusion patterns Misinformation mitigation Temporal topic modeling Scientific support includes: National Science Foundation (NSF) awards Minerva/ONR funding AFOSR grant for distrust modeling DARPA Understanding Group Biases program As director of PICSO Lab, she leads interdisciplinary research teams on: Digital accountability Urban mobility patterns Health informatics via crowdsourcing Trust-influence dynamics
Prof. Olga Sorkine Hornung is a Full Professor of Computer Science at ETH Zürich, leading the Interactive Geometry Lab. She holds a BSc and PhD from Tel Aviv University (2000 and 2006) and conducted postdoctoral research at Technical University Berlin. Her research focuses on computer graphics, geometric modeling, and geometry processing, with applications in shape editing, digital fabrication, and animation. She has received numerous accolades, including the ACM Fellowship (2020), ERC Consolidator Grant (2020), and the Golden Owl Teaching Award (2021). Her work bridges theoretical foundations and practical algorithms, addressing challenges in parameterization, surface compression, and interactive design tools. Her research interests span: Computer Graphics & Visualization Geometric Modeling & Processing 3D Content Creation & Digital Fabrication Garment Design & Simulation Human Motion Analysis & Animation Awards and grants include: 2024: Best Paper Honorable Mention (EUROGRAPHICS) 2023: Member of Swiss Academy of Engineering Sciences (SATW) 2020: ERC Consolidator Grant 2017: Rössler Prize (ETH Zurich) Her lab focuses on developing novel methods for interactive geometry processing, with recent advancements in garment modeling (e.g., AIpparel, Rags2Riches) and motion retargeting systems like WalkTheDog. She actively collaborates on interdisciplinary projects, including biomedical applications and sustainable fashion technology.
Christopher M EARLS is a Professor in the Department of Psychology at Université de Montréal's Faculty of Arts and Sciences. He specializes in forensic psychology, psychopathology, and behavioral studies with a focus on sexual delinquency and juvenile prostitution. His research explores the intersections of psychopathy, criminal behavior, and mental health comorbidities. He teaches courses including Psychopathology: Introduction across undergraduate programs in psychology, social sciences, and cognitive neuroscience. His academic contributions span over two decades, with notable work on psychopathy assessment, parenting practices in non-criminal populations, and sexual behavior conditioning. Education Affiliations: Université de Montréal (primary) Teaching Programs: Baccalauréat en psychologie, Neuroscience cognitive, Social Work programs Dr. EARLS has directed 10+ theses and mémoires since 1998, focusing on forensic psychology topics like sexual delinquency correlates and psychopathy measurement validity. His work bridges clinical psychology with sociocultural factors, particularly in marginalized populations like sex workers and juvenile offenders. Research Highlights: Clinical assessment tools comparison (paper vs. digital psychopathy scales) Gender differences in psychopathy expression Impact of childhood trauma on sexual interest development Though no formal awards are listed, his extensive publication record reflects sustained contributions to forensic and clinical psychology research.
Seth Aubin is a Professor of Physics at the College of William & Mary, affiliated with the College of Arts & Sciences. His research focuses on experimental atomic, molecular, and optical physics, with emphases on precision measurements and quantum phenomena. Key projects include developing atom chip technologies for trapping ultracold atoms, Rydberg atom-based sensors for charged particle diagnostics, and francium spectroscopy for weak interaction studies. Education: License de Physique (ENS Paris/MIP), 1994 B.Sc. in Physics, Yale University, 1995 Ph.D. in Physics, SUNY Stony Brook, 2003 Research Themes: Quantum Trapping Techniques: Innovations in AC Zeeman atom chip traps and RF microtraps to suppress potential roughness Rydberg Atom Sensors: Pioneering applications in electron beam profiling and electromagnetic field imaging Franium Spectroscopy: Collaborative work on parity-violation measurements and isotope shift analyses Recent Article Trends: Recent work emphasizes practical implementations of quantum sensors (e.g., charged particle beam diagnostics) and foundational trapping technology advancements. Over 30 peer-reviewed publications since 2018 reflect sustained contributions to atom chip systems and precision measurements. Awards: American Physical Society Fellow (APS Fellow) Grants & Collaborations: Lead PI on atom chip-based interferometry projects Contributing member to the FrPNC collaboration at TRIUMF (atomic parity violation studies) Developed hybrid optical dipole traps for magnetometry applications Labs & Infrastructure: Manages state-of-the-art atomic physics labs at W&M, including ultrahigh-vacuum systems for francium trapping and laser stabilization setups. Active in developing microwave/radio-frequency atom chip platforms for next-generation quantum sensors.
Daniela Iorio is an Associate Professor at the Department of Economics, University of Bologna, and holds a part-time professorship at the European University Institute’s School of Transnational Governance. She specializes in Political Economy, Health Economics, and Public Economics. Her work addresses topics like voting behavior, eating disorders, reproductive health, and parental investments. She earned a Ph.D. in Economics from the University of Pennsylvania and has held positions at institutions including USC, Universitat Autònoma de Barcelona, and the Barcelona Graduate School of Economics. Her research focuses on health policy, behavioral economics, and political institutions. Notable contributions include analyzing the link between eating disorders and addictive behaviors, evaluating IVF success disparities, and developing parenting measurement tools through digital interventions. She has been awarded the 2016 Oliver E. Williamson Prize and the Rita Levi Montalcini grant. Iorio teaches advanced courses on political economy and health economics at the PhD and master’s levels. She directs the Health Economics, Management and Policy master’s program at Bologna and has advised over a dozen graduate students. Her grants include a €758k MIUR project on child development and parental engagement. She serves as an Associate Editor for the European Economic Review and referees for top journals like the American Economic Review .
Pasquale Bottalico serves as Associate Professor in the Department of Speech and Hearing Science at the University of Illinois, with dual appointments as Associate Professor at the Center for Latin American and Caribbean Studies and Affiliate Faculty in the School of Music. His unique interdisciplinary profile bridges engineering, music performance, and speech science, reflecting his dual academic training and professional artistry. His educational foundation includes: Bachelor's in Telecommunications Engineering from Univeristà Mediterranea di Reggio Calabria, Italy Concurrent Opera Singing degree from F. Cilea Music Academy, Reggio Calabria Master's in Telecommunications Engineering from Politecnico di Torino, Italy Ph.D. in Metrology specializing in acoustics measurement uncertainty and classroom acoustics Dr. Bottalico's research centers on vocal load quantification and professional voice techniques , with significant contributions to understanding vocal fatigue in teachers and singers. His work spans Speech Intelligibility in educational environments, Room Acoustics for performance and learning spaces, and Musical Acoustics of historical vocal styles. A distinctive thread throughout his research examines how acoustic conditions modulate voice production and perception, increasingly incorporating virtual reality and bone conduction technologies for innovative assessment and intervention approaches. His Colombian vocal health study demonstrates cross-cultural applications of his work. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) The impact of noise and dysphonia on children's speech processing in educational settings, using multimodal assessment including EEG; (2) Virtual reality applications for voice production research and therapeutic intervention; (3) Cross-cultural validation of vocal fatigue metrics and development of biofeedback systems. His work consistently bridges engineering precision with clinical applicability, particularly for professional voice users in challenging acoustic environments. No scientific awards were documented in the available information. While specific advising relationships aren't detailed, his research collaborations span international institutions including Colombian and Italian universities, suggesting graduate mentorship in interdisciplinary projects. No grant information was provided, though his systematic reviews and cross-cultural studies imply externally funded research activities. Though no dedicated laboratory is specified, his virtual reality voice studies and acoustic parameter assessments suggest affiliations with audio engineering facilities and voice clinics, likely through the Speech and Hearing Science department's research infrastructure.
Matthew D. Adler is the Richard A. Horvitz Distinguished Professor of Law and Professor of Economics, Philosophy, and Public Policy at Duke University. He is the founding director of the Duke Center for Law, Economics and Public Policy and holds a 3-year research fellowship at the London School of Economics. Education: B.A., Yale University (1984) J.D., Yale University (1991) M.Litt., University of Oxford (1987) - Marshall Scholar Research Interests: Adler specializes in prioritarianism, a theory that refines utilitarianism by prioritizing the worse-off. He integrates welfare economics, normative ethics, and legal theory to develop policy analysis tools like social welfare functions with distributional weights. His work spans climate change , risk regulation , health policy , and inequality measurement . Publications and Contributions: Adler has authored monographs including New Foundations of Cost-Benefit Analysis and Well-Being and Fair Distribution , and co-edited the Oxford Handbook of Well-Being and Public Policy . His recent work explores implementing prioritarianism in policy domains such as the social cost of carbon , health economics , and intergenerational equity . Scientific Awards: Marshall Scholar Ludwig M. Lachmann Professorial Research Fellow Professional Affiliations: Adler was an editor of Legal Theory until 2017 and is now an editor of Economics and Philosophy . He has held visiting professorships at Columbia, Chicago, and Virginia Law Schools.
Professor Nancy W. Y. Law is a leading scholar in Learning Sciences and Technology at the University of Hong Kong's Faculty of Education . She has served as Founding Director of the Centre for Information Technology in Education (CITE) (1998-2013) and currently holds the Chair of Learning Sciences and Technology . Her career spans over 25 years of international comparative studies, policy analysis, and large-scale educational innovation. Current roles: Associate Dean (Strategic Development), HKU Key affiliations: Sciences of Learning Strategic Research Theme (co-convener) Research Expertise Her work focuses on technology-enhanced learning , digital literacy , knowledge building communities , and multilevel educational change . She pioneered network models of teacher innovation and socio-technical frameworks for sustainable pedagogical transformation, particularly in STEM education and Cyberbullying prevention . Scientific Leadership With over 25 major research grants (2000-2023) exceeding HK$50 million, she leads projects like: Learning and Assessment for Digital Citizenship Jockey Club Self-directed Learning in STEM Design-Aware Learning Analytics A Fellow of the International Society of Learning Sciences and recipient of the HKSAR Humanities and Social Sciences Prestigious Fellowship , she has supervised numerous international comparative studies including SITES 2006, ICILS 2013, and longitudinal digital citizenship research (2019-2021).
Giuseppe Ateniese is a Professor and Eminent Scholar in Cybersecurity at George Mason University, affiliated with the Department of Computer Science and Cyber Security Engineering. Formerly, he held the Farber Endowed Chair and chaired the Department of Computer Science at Stevens Institute of Technology. His research focuses on cloud security, applied cryptography, blockchain technology, and AI-driven cybersecurity solutions. He has received prestigious awards including the NSF CAREER Award and Google/IBM Faculty Awards. AIFurther, he teaches courses on blockchains, cryptography fundamentals, and cryptofinance. His work includes pioneering contributions to rewritable blockchains, password cracking via AI (e.g., PassGAN), and secure decentralized systems. Education: PhD in Computer Science, University of Genoa (2000) Laurea (M.Sc.), University of Salerno (1995) Master of Engineering (Honoris Causa), Stevens Institute of Technology (2020) Research Interests: Ateniese’s work bridges theoretical and applied cryptography, with emphasis on blockchain scalability, privacy-preserving machine learning, and secure data storage. He has developed foundational techniques like proxy re-cryptography and accountable storage systems. His recent efforts address AI’s dual role as both a cybersecurity tool and threat vector, including AI-based password cracking and defense strategies against LLM-driven attacks. Awards: NSF CAREER Award (for privacy/security research) Google Faculty Research Award (cloud security) IBM Faculty Award IEEE CISTC Technical Recognition Award Teaching & Labs: He teaches advanced courses on blockchains (CS695), cryptography fundamentals (CYSE/ECE476), and introductory cryptography (CS487/587). His research team focuses on cryptographic protocols, decentralized systems, and AI-security intersections. Collaborations include projects with Accenture on editable blockchain prototypes and NSF-funded work on password security.
Eduardo Miranda is a Professor of Civil and Environmental Engineering at Stanford University. He specializes in structural engineering, with a focus on performance-based earthquake engineering. His work involves analyzing ground motion impacts on structures and society, and developing methods to improve seismic design and construction. He holds a PhD from the University of California, Berkeley (1991), an MSc from UC Berkeley (1988), and a Civil Engineering degree from UNAM (1986). Education: PhD in Structural Engineering, UC Berkeley (1991) MSc in Structural Engineering, UC Berkeley (1988) Civil Engineer, National Autonomous University of Mexico (UNAM) (1986) Research Interests: His primary research areas include seismic risk assessment, ground motion analysis, and the development of computational tools for structural analysis. He investigates the directional effects of earthquakes on building responses and has contributed to methodologies for regional seismic risk evaluation. His work also focuses on improving seismic isolation techniques and nonstructural component design. Recent Research Trends: Miranda’s recent publications emphasize directional ground motion effects, particularly in earthquakes like those in Türkiye and Taiwan. He explores novel friction models for seismic isolation bearings and evaluates the seismic performance of structures on soft soils. His work bridges theoretical analysis and practical application, aiming to enhance building resilience. Advising & Grants: No specific grants or advisees are listed, but his research is funded through collaborations with institutions like EERI and StEER for field assessments and computational studies. Labs/Teams: Collaborates with the Stanford Earthquake Engineering Research (StEER) Group, contributing to post-earthquake reconnaissance reports and regional risk assessments.
Loreta Vilkienė is a Professor at the Department of Lithuanian Studies, Vilnius University, since October 2020, and served as its Head from 2018–2023. She has been affiliated with Vilnius University since 2007, initially as an Associate Professor, and has lectured since 2001. Her academic background includes a PhD in Humanities (2000) and a qualification as a philologist and teacher of Lithuanian (1986), both from Vilnius University. Education: PhD in Humanities, Vilnius University (2000) Philologist and Teacher of Lithuanian, Vilnius University (1986) Research Interests: Applied linguistics (foreign language teaching/assessment, language attrition, partial acquisition) and sociolinguistics (linguistic attitudes, diaspora language dynamics, language-identity links). Her work focuses on multilingualism, heritage language maintenance, and sociolinguistic transitions in post-Soviet contexts. Article Trends: Recent publications analyze language attitudes in Lithuania, lexical proficiency in native speakers, diaspora language policies in Kazakhstan and Russia, and sociolinguistic impacts on identity. Her studies integrate quantitative methods (e.g., vocabulary size estimation) and qualitative discourse analysis. Scientific Awards: Recipient of the 2006 Lietuvos Science Award (applied sciences) for collaborative work on Lithuanian language pedagogy. Grants & Projects: Managed EU-funded projects like ARQUS (2020) and international diaspora language studies (2020–2022). Active in UNESCO-related language preservation initiatives and digital outreach platforms. Outreach: Delivered public lectures on diaspora identity, contributed to podcasts, and authored 15+ peer-reviewed articles. Co-developed teaching tools like the Po truputį Lithuanian language series.
Nancy M. Wells is a Professor in the Department of Human Centered Design and serves as the Senior Associate Dean for Research and Graduate Education in the College of Human Ecology at Cornell University. Her work bridges environmental psychology and public health, examining how built and natural environments impact human health and behavior across the lifespan. Dr. Wells received a joint PhD in Psychology and Architecture from the University of Michigan and completed National Institute of Mental Health (NIMH) post-doctoral training at the University of California, Irvine. Her educational background uniquely positions her to investigate the intersection of physical environments and human wellbeing through both psychological and architectural lenses. Her research focuses on how environmental contexts—from homes to neighborhoods to schools—affect health outcomes, cognitive functioning, and resilience. A central theme examines nature's role in human resilience, particularly how natural environments buffer against adversity and challenge. She has conducted influential work on school gardens and their effects on children's physical activity, dietary habits, and learning. More recently, she has pioneered research on nature and autism, conducting a randomized controlled trial examining natural environments' effects on autistic youth wellbeing. Analysis of Dr. Wells' recent publications reveals consistent focus on nature's health benefits, with strong emphasis on experimental methodologies including randomized controlled trials and natural experiments. Her work spans environmental psychology, public health, and education, with particular attention to vulnerable populations including low-income communities and children of color. NSF Funding for environmental health research USDA Funding for school garden studies Robert Wood Johnson Foundation Funding MacArthur Foundation Funding Senior Associate Editor of Environment and Behavior (4 years) Research Advisory Board of Children and Nature Network Board of Directors for reDirect Dr. Wells actively mentors undergraduate and graduate students through the Wells Lab, involving them in all research stages from data collection to publication. Her research has been supported by multiple significant grants examining housing quality effects on mental health, neighborhood design impacts on physical activity, and school garden interventions. She leads interdisciplinary research teams that integrate perspectives from environmental psychology, public health, landscape architecture, and education. The Wells Lab operates as an integrated research-teaching-outreach unit that develops practical yet rigorous studies to assess causal relations between environment and health, creates valid measurement tools, and identifies causal pathways. Current projects include examining nature's effects on autistic youth wellbeing in partnership with The Center for Discovery in New York, and investigating multi-sensory design in urban public spaces.
Dr Andrew Rhead is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, specializing in aerospace composites and damage tolerance analysis. His research focuses on impact damage detection, failure mechanism modeling, and Non-Destructive Evaluation (NDE) techniques for composite structures. MSci in Mathematical Sciences (Dynamical Systems) - University of Bristol (2006) PhD in Composite Damage Tolerance - University of Bath (2009) His work develops computationally efficient analytical models for compression after impact (CAI) strength prediction in composite laminates, surpassing traditional finite element methods. Key projects include hydrogen storage systems for aircraft, cryogenic composite testing, and steered fiber manufacturing optimization. Active in 10 projects including ASPIRE and HyFIVE Collaborates with Airbus, GKN Aerospace, and EPSRC Research trends show emphasis on sustainable aviation materials, structural battery integration, and advanced testing methodologies. Current affiliations include the Institute for Mathematical Innovation (IMI) and Centre for Integrated Materials, Processes & Structures (IMPS).
Ceren Budak is an Associate Professor at the University of Michigan School of Information and holds a joint appointment as Associate Professor of Electrical Engineering and Computer Science in the College of Engineering. Her work bridges computer science, statistics, and social sciences through computational social science approaches. Her educational background includes a PhD in Computer Science from the University of California, Santa Barbara (2012) and a Bachelors degree in Computer Science from Bilkent University in Turkey (2007). Prior to joining the University of Michigan faculty, she was a Postdoctoral Researcher at Microsoft Research New York. Professor Budak's research centers on computational social science, with particular emphasis on analyzing large-scale datasets to address questions with social, political, and policy implications. Her work spans several interconnected domains: News Media Production & Consumption (examining bias in news outlets and reader preferences), Social Movements & Media (using social media data to study collective action), Social Networks (understanding information diffusion processes), and Measuring and Promoting the Quality of Online Discussions (developing tools to improve online conversations). She teaches SI 608 (Networks) and SI 618 (Data Manipulation and Analysis) at the School of Information. Her publication record demonstrates consistent contributions to understanding how online information ecosystems operate, with recent work focusing on AI-human collaboration, misinformation dynamics, social movement framing, and the application of computational methods to political communication. Her research shows a clear trajectory from foundational work on social network diffusion to increasingly sophisticated analyses of contemporary information challenges. Among her service activities, she has served as Registration chair for COSN (ACM Conference on Online Social Networks) 2015 and as Program Committee Member for numerous prestigious conferences including WWW, ICWSM, WebSci, AAAI, and others. She has also been involved in organizing the MSR NYC Data Science Seminar Series and instructing the Microsoft Research Data Science Summer School.
Prof. Dr. Timothy Roscoe is a Full Professor in the Department of Computer Science at ETH Zurich. His research focuses on operating systems, networking, and distributed systems. He was inducted as an ACM Fellow in 2014 for contributions to these fields. Previously, he worked at Intel Research Berkeley, UC Berkeley (Adjunct Professor), and Sprint Labs. His work includes foundational contributions to systems like PlanetLab, P2 Declarative Networking, and the Nemesis OS. Roscoe holds a PhD from the University of Cambridge and has led projects in cloud computing, wide-area network measurement, and secure systems design. His current research emphasizes hardware-software co-design, formal verification of systems, and scalable memory architectures. Education: PhD in Computer Science, University of Cambridge (1995) Key Roles: Principal Researcher at Intel Berkeley Lab, Visiting Researcher at National ICT Australia Research Highlights: Contributions to distributed systems (PlanetLab), declarative networking (P2), and secure microkernels (seL4 integration). Current projects address challenges in disaggregated memory systems, coherent interconnects, and trustworthy embedded systems. Awards: ACM Fellow (2014), numerous grants and industry collaborations. Labs/Teams: Systems Group at ETH Zurich, focusing on OS design, hardware architectures, and formal methods.
