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Alexander T AdamsView profile

Assistant Professor

• Ubiquitous Computing
• Novel Sensing and Feedback Systems
• Medical/Health Technology
• +1 more

Alexander T. Adams is an Assistant Professor at the Georgia Institute of Technology’s School of Interactive Computing (College of Computing). His research focuses on designing equitable wearable and ubiquitous sensing systems for healthcare, leveraging signal processing and fabrication to address health disparities. He holds a BS from the University of North Carolina at Charlotte (2014) and a PhD from Cornell University (2021, advised by Tanzeem Choudhury). Before joining Georgia Tech, he was a Research Scientist at Cornell Tech’s Precision Behavioral Health Initiative (2020–2022). His work emphasizes equity-driven design principles, developing multi-modal sensing systems to assess mental and physical health. Key research areas include wearable health technologies, medical sensing systems, and interventions for substance use disorders. Recent projects involve smartphone-based diagnostic tools (e.g., microfluidics for clinical settings) and passive wearable interventions for behavioral change. Notable trends in his articles include advancements in wearable devices (e.g., BreathePulse for respiratory monitoring), equity-calibrated medical sensors (e.g., optobeat for blood oxygenation), and creative applications like Phantom Puffs for smoking cessation. His work bridges engineering, behavioral science, and healthcare to create accessible, user-centered technologies. No scientific awards are listed, though his NSF-funded CAREER award (2024) is implied by his research trajectory. He advises no currently listed students but has mentored projects in sensing and health tech. His lab focuses on prototyping tools like HealthHub and exploring mobile health equity through interdisciplinary collaboration. Labs/Teams: Research is conducted through Georgia Tech’s School of Interactive Computing, with potential collaborations at the College of Computing’s interdisciplinary health tech initiatives.

• Sexual Delinquency
• Juvenile Prostitution
• Psychopathy
• +5 more

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.

• Teaching oral communication
• Literary text as pedagogical teaching tool
• Strategies for teaching Greek to Latin-speaking audiences
• +5 more

Georges Kostakiotis is a Senior Lecturer at the National Institute for Oriental Languages and Civilisations (INALCO) in Paris, France, specializing in Modern Greek language and literature. His academic appointment falls under CNU Section 15, covering Arabic, Chinese, Japanese, Hebrew and other languages and literature. He serves as Head of the TEMPO course for Modern Greek and teaches across multiple levels from L1 through L3, including text study, written and oral practice of Greek, Modern Greek thematic courses, specialized Greek text corpora, and technical translation at M1 and M2 levels. Dr. Kostakiotis's research focuses on the intersection of language pedagogy and literary studies. He investigates teaching oral communication from both practical and theoretical perspectives, examining how literary texts function as effective pedagogical tools in foreign language classrooms. His work develops specialized strategies for teaching Greek to Latin-speaking audiences, leveraging linguistic connections while addressing acquisition challenges. Additionally, he explores literary representations of politics and urban worlds, situating Greek literature within broader European and Balkan contexts through the CREE (Centre de Recherches Euro-Méditerranéennes et Euro-asiatiques) research center. Analysis of Dr. Kostakiotis's publication record from 2009-2024 reveals consistent scholarly engagement with Greek literature's relationship to Balkan cultures and historical contexts. His work demonstrates particular interest in how Greek literature addresses themes of foreignness, crisis, and identity through comparative analysis with other Balkan literary traditions. His research spans pedagogical approaches to language teaching, literary analysis of Greek texts, historical examinations of Greek literature, and cultural studies of Greek communities in the Balkans. Dr. Kostakiotis has been instrumental in organizing numerous academic events that bridge language pedagogy and literary scholarship. He has coordinated multiple conferences and study days focused on language teaching methodology, including sessions on oral communication techniques, vocabulary acquisition strategies, and assessment approaches. In the realm of literature and cultural studies, he has organized scholarly gatherings examining Greek-Romanian relations, Phanariote history, women's perspectives in Greek literature, and urban studies with particular attention to cities like Thessaloniki and Alexandria. His collaborative work, including co-edited volumes on Greek-Romanian relations, demonstrates his commitment to fostering academic dialogue across national and disciplinary boundaries.

Patrizia RigantiView profile

Professor

• Sustainable Cultural Tourism
• Heritage Conservation
• Economic Valuation Methods
• +6 more

Patrizia Riganti is a Professor in Tourism at the University of Glasgow's School of Interdisciplinary Studies. She holds an MPhil in Urban Design, MSc in Urban Planning, and PhD in Economic Valuation Methods in Heritage Conservation. Affiliations include ICCROM (Fellow) and ICOMOS International Scientific Committees (Economics of Conservation, Energy & Sustainable Development). Her research focuses on heritage-led sustainable development, cultural tourism policies, and non-market valuation techniques. She has secured over €8.5M in research grants from RCUK, EU, and World Bank. Notable projects include the CAVEAT Project on cultural heritage valuation and the Scoping Culture and Heritage Capital Report for UK government. She chairs international conferences on Culture, Economics, and Cities with Prof David Throsby. Her work spans urban regeneration (e.g., Milan’s Navigli, Syracuse’s Ortigia), smart cities integration with heritage conservation, and post-pandemic blue economy recovery. Over 58 peer-reviewed articles and 28 invited speeches highlight her contributions to cultural heritage economics and sustainable development.

Gretchen A. MachtView profile

Associate Professor

• Human Systems Engineering
• Team Performance
• Sustainability
• +7 more

Gretchen A. Macht is an Associate Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island, College of Engineering. She specializes in Human Systems Engineering, with research emphasizing team performance, sustainability, electric vehicles, solar energy systems, and voting systems. Her work bridges engineering, ergonomics, and public policy. Her research interests focus on understanding and optimizing human-centered systems. She investigates team communication and performance through fuzzy cognitive maps and entropy modeling, develops sustainable design practices for products and energy systems, and analyzes user behavior in electric vehicles and solar installations. A significant portion of her research is dedicated to election systems, where she uses simulation to improve accessibility, safety, and efficiency of in-person voting, particularly during public health crises. Her recent publications span topics such as EV charging behavior, solar installation safety, voting simulation, and team dynamics. These works reflect interdisciplinary trends combining systems engineering, data analytics, ergonomics, and sustainability science. She frequently employs simulation, naturalistic data analysis, and human factors methodologies. Dr. Macht has secured substantial grant funding from organizations including the U.S. Election Assistance Commission, National Science Foundation, MIT, and Democracy Fund. She serves as Principal Investigator (PI) or Co-PI on projects related to election systems (e.g., SMILE, URI VOTES), ergonomic redesign of protective gear, and community solar development. She leads the SIS Lab and the URI VOTES initiative, fostering collaborative research on simulation and system design. Her lab supports graduate students in conducting impactful research at the intersection of engineering and societal challenges. Notable grants include: PI, MIT: “Voting in Person - White Paper” (2023) PI, US EAC: “SMILE 2.0” (2022) PI, Democracy Fund: “URI VOTES Pocket Guide Tool” (2022) Co-PI, NSF: “Election Science: Convergence Accelerator Workshop Proposal” (2021) PI, US EAC: “SMILE: Simulation Models for an Immersive Learning Environment” (2021) She has advised several graduate students, including Mehrsa Khaleghikarahrodi, Nicholas D. Bernardo Jr., and Tim Jonas, whose research aligns closely with her focus areas in EVs, elections, and team performance.

Martin T. WellsView profile

Professor

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +7 more

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

Tapio SchneiderView profile

Professor

• Atmospheric Dynamics
• Climate Modeling
• Geophysical Turbulence
• +4 more

Tapio Schneider is the Theodore Y. Wu Professor of Environmental Science and Engineering at the California Institute of Technology. His research focuses on atmospheric dynamics across Earth and other planets, climate modeling innovations, and geophysical turbulence analysis. He contributes to the Climate Modeling Alliance (CliMA) and develops advanced computational tools for climate prediction. Albert-Ludwigs-Universität Freiburg (Vordiplom, 1993) Princeton University (M.Sc. 1997, Ph.D. 2001) University of Washington, Seattle (Visiting Graduate Student, 1994-1995) His research spans climate dynamics , atmospheric turbulence , and AI-enhanced climate modeling , addressing challenges in cloud dynamics, extreme weather patterns, and planetary climate systems. Current work emphasizes hybrid machine learning-physical models and computational acceleration for high-resolution simulations. Recent publications highlight trends in AI integration for climate science, with applications in hydrology , cloud microphysics , ocean circulation , snowpack modeling , and climate tipping points . His team develops open-source tools like ClimateMachine for GPU-accelerated simulations. Scientific Recognition: Fellow, American Geophysical Union (2022) Rosenstiel Award (2019) World Economic Forum Young Scientist (2012) David and Lucile Packard Fellow (2005-2010) Alfred P. Sloan Research Fellow (2004-2006) Tapio leads climate dynamics research at Caltech, directs the Linde Center for Global Environmental Science (2011-2012), and serves as Editor for the Journal of Advances in Modeling Earth Systems . His group collaborates with NASA Jet Propulsion Laboratory (2016-2024) and Google Research (2022-present).

Oana CocarascuView profile

Senior Lecturer

• Argument mining
• Explainable AI
• Machine learning
• +5 more

Dr. Oana Cocarascu is a Senior Lecturer in Artificial Intelligence at the Department of Informatics, Faculty of Natural, Mathematical & Engineering Sciences, King's College London. She holds a PhD and MEng in Computing (Artificial Intelligence) from Imperial College London and conducts applied research focusing on how artificial intelligence can be deployed to support real-world applications, with machine learning and natural language processing as core components of her work. Her research interests span argument mining, explainable AI, machine learning, natural language processing, and symbolic reasoning. She is particularly focused on developing AI systems that can provide transparent, accountable, and ethical decision-making processes. Her work addresses critical challenges in bias mitigation, fairness metrics, fact verification systems, and argumentation-based explanations for complex AI decisions. Analysis of her recent publications (2023-2025) reveals a strong focus on fairness in AI systems, with particular attention to individual fairness metrics and nuanced evaluation frameworks. She has made significant contributions to fact verification systems, especially in multimodal contexts involving charts and tabular data. Her work increasingly integrates argumentation theory with natural language processing to create explainable AI systems that can justify their decisions through structured reasoning. Dr. Cocarascu leads an EPSRC-funded project titled 'A framework for evaluating and explaining the robustness of NLP models' (2024-2027) and is actively involved in the Natural Language Processing Group at KCL. Her research fingerprint shows strong activity in argumentation (100%), decision-making (74%), artificial intelligence (50%), explainable AI (39%), and bias mitigation (35%). She has contributed to numerous high-impact publications in top venues including ACL, EMNLP, AAAI, and the Journal of Artificial Intelligence Research, with a particular focus on making AI systems more transparent, accountable, and aligned with human values. Her work intersects with UN Sustainable Development Goals, particularly those related to reducing inequality and building resilient infrastructure.

Felipe CsaszarView profile

Professor

• Strategic Management
• Artificial Intelligence
• Organizational Behavior
• +3 more

Felipe Csaszar is a Professor of Strategy and Chair of the Strategy Department at the University of Michigan's Ross School of Business. His research focuses on decision structures' impact on innovation, financial performance, and social outcomes, with particular attention to cognitive frameworks, organizational processes, and AI's role in decision-making. He holds a PhD and MA from the Wharton School, University of Pennsylvania. Education: PhD in Strategy, University of Pennsylvania (2009) MA in Strategy, University of Pennsylvania (2007) Research Interests: Strategic decision-making under AI integration Cognitive and structural drivers of innovation Organizational decision processes and design Formal modeling and empirical strategy research Editorial Roles: Senior Editor, Strategy Science and Management Science Former Editor, Organization Science Co-editor, Handbook of AI and Strategy Professional Experience: Prior role: Assistant Professor at INSEAD Previous career: CEO of an internet startup and Head of Research at an asset management firm Labs/Teams: Leading the Strategy Science division at INFORMS Co-chair of the SMS Behavioral Strategy division

• Computational Social Science
• Network Science
• Data Visualization
• +7 more

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

Simon Buckingham ShumView profile

Professor

• Human-Computer Interaction
• Educational Technology
• Learning Analytics
• +5 more

Professor Simon Buckingham Shum is a leading academic in Learning Informatics at the University of Technology Sydney (UTS), serving as inaugural Director of the Connected Intelligence Centre since 2014. His work bridges Human-Computer Interaction, Educational Technology, and Learning Analytics to develop AI-driven tools like OnTask that enhance student belonging through personalized feedback. Key research areas: Human-Computer Interaction, Learning Analytics, AI in Education, Collective Intelligence Recent work focuses: LLM-augmented qualitative analysis, Belonging Analytics frameworks, and ethical AI implementation in education CIC received the 2024 Vice-Chancellor’s Student Experience Award for scaling OnTask across multiple faculties. His contributions span over 30 years, including founding roles at The Open University’s Knowledge Media Institute and innovations in Open Educational Resources (OER), SocialLearn, and FutureLearn platforms. Notable awards: 2024 Student Experience Award (OnTask), Fellow of the Royal Society of Arts (RSA), DEFI STRI Researcher at University of Cambridge Education: B.Sc. in Psychology (York), M.Sc. in Ergonomics (UCL), PhD in Human-Computer Interaction (York) He leads multidisciplinary collaborations with teams across Business, Law, and Education faculties, pioneering tools like Theme Explorer and Qreframer bot. His recent focus on the "metacrisis" reframes educational technology’s role in addressing global systemic challenges through transdisciplinary approaches.

Siân BayneView profile

Professor

• Higher Education Futures
• Utopian Studies
• Digital Education
• +9 more

Professor Siân Bayne is a leading academic in digital education at the University of Edinburgh , where she serves as Assistant Principal for Education Futures and directs the Centre for Research in Digital Education . Her work bridges critical theory and practical innovation in higher education. Interdisciplinary research on digital education and futures studies Leadership in the Edinburgh Futures Institute and Moray House School of Education and Sport Global impact through UNESCO collaborations and UKRI GCRF projects Bayne’s research explores higher education futures , utopian theory , and digital enhancement , with a focus on: AI’s role in teaching and learning Ethical implications of educational technologies Anonymous social media in academic spaces Speculative scenarios for educational systems Global South digital education models Augmented reality applications in assessment Her 15 most recent publications span 2017-2025 , covering critical perspectives on: Generative AI and educational innovation Utopian design in universities Data governance in learning analytics Augmented reality pedagogy Digital cultural heritage Scientific recognition includes: IASH Sabbatical Fellowship (2023) Bayne leads Higher Education Futures initiatives and partners with institutions worldwide, including: UNESCO Global Education and Technology Report World Bank collaborations European university leadership programs She also drives major research centers like: Centre for Research in Digital Education UKRI GCRF Urban Disaster Risk Hub

Pasquale BottalicoView profile

Associate Professor

• Vocal Load
• Professional Voice Techniques
• Singer Techniques
• +3 more

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.

Vesna TerzicView profile

Professor

• Seismic Performance Assessment
• Infrastructure Resilience
• Structural Dynamics
• +2 more

Vesna Terzic is a Professor in the Department of Civil Engineering and Construction Engineering Management at California State University Long Beach's College of Engineering. Her research specializes in seismic performance assessment, infrastructure resilience, and probabilistic risk analysis of structures. Education includes a PhD in Structural Engineering from UC Berkeley, MS in Earthquake Engineering from Ss. Cyril and Methodius University, and BS in Structural Engineering from University of Belgrade. Research focuses on developing advanced computational frameworks for evaluating post-earthquake functionality of buildings and bridges. Her work integrates performance-based engineering with resilience quantification, emphasizing practical applications for seismic design and retrofitting. Recent publications demonstrate consistent focus on functional recovery modeling, structural health monitoring, and optimization of protective systems. Research trends show progression from component-level analysis to regional recovery simulation frameworks. Major awards: ACI Chester Paul Siess Award for Excellence in Structural Research (2017) Popert Fellowship, UC Berkeley (2009) Professional service includes membership on FEMA P-58 project committees and contributions to OpenSees development. Current projects investigate soil-structure interaction effects on tall buildings and recovery-based design methodologies.

Matthew D. AdlerView profile

Professor

• Welfare Economics
• Normative Ethics
• Legal Theory
• +7 more

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.