جست‌وجوی استاد و پژوهشگر

Lawrence M. Ausubelمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Economics of Asymmetric Information
• +۴ مورد دیگر

Lawrence M. Ausubel is a Professor of Economics in the Department of Economics at the University of Maryland. He received his PhD in Economics (1984), Master of Legal Studies, and MS in Mathematics from Stanford University. His research focuses on microeconomic theory, game theory, and the economics of asymmetric information, with applications to auction theory and market design. PhD in Economics (Stanford University, 1984) Master of Legal Studies (Stanford Law School) MS in Mathematics (Stanford University) AB in Mathematics (Princeton University) A leading expert in auction theory, Ausubel has made significant contributions to dynamic auctions, combinatorial bidding, and market mechanisms. His work includes developing the efficient ascending-bid auction format (known as the 'Ausubel auction'), analyzing durable goods monopoly, and studying bargaining under incomplete information. He has also explored credit card market dynamics, financial rescue strategies, and electricity market design. Recent research involves cryptographic choice mechanisms, core-selecting auctions with incomplete information, and iterative pricing models. His publications span journals like Review of Economic Studies , American Economic Review , and Econometrica , with patents in auction technology and applications in telecommunications, energy, and finance. 23 U.S. patents related to auction technology Testified before U.S. Congress on credit card markets Founded Power Auctions LLC (2003) Co-inventor of auction formats used by FCC, ISED Canada, and ACMA

Colin Conradمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Neuroscience
• Educational Technology
• +۳ مورد دیگر

Colin Conrad is an Associate Professor of Digital Innovation at Dalhousie University’s Faculty of Management. He also serves as Co-Director of the College of Digital Transformation and Principal of the Cognition and Organizations Research Group. His research focuses on interdisciplinary projects spanning information systems, computer science, and cognitive neuroscience, with particular emphasis on human factors in educational technology and artificial intelligence. His work is supported by NSERC, CFI, and Mitacs. Research interests include mind wandering measurement via EEG, AI ethics, human-AI interaction, and neurophysiological impacts of digital technologies. He explores topics such as virtual teacher perception, privacy calculus in AI systems, and cognitive state awareness in human-AI collaboration. His recent studies address challenges in remote work ergonomics, digital transformation during crises, and legal/ethical aspects of brain-computer interfaces. His publications analyze behavioral responses to cybersecurity notifications, virtual influencer trust dynamics, and adaptive online learning systems. Current projects investigate the cognitive effects of AI-generated media and the neurophysiological foundations of attention in digital environments. Colin’s research is funded through grants emphasizing interdisciplinary innovation and societal impact. He collaborates with industry partners to translate neuroscientific insights into practical applications in education and workplace design.

Lisa Feldman Barrettمشاهده پروفایل

استاد

• Affective Neuroscience
• Psychology of Emotion
• Social and Personality Psychology
• +۴ مورد دیگر

Lisa Feldman Barrett is a University Distinguished Professor of Psychology at Northeastern University with an appointment at Massachusetts General Hospital (MGH). She leads the Interdisciplinary Affective Science Laboratory (IASLab), studying the brain and body mechanisms underlying emotion, motivation, and cognition. Her work integrates psychology, neuroscience, anthropology, and computational methods to challenge traditional emotion theories. She serves as Chief Science Officer for MGH’s Center for Law, Brain and Behavior and actively engages in public science communication through books, lectures, and media. **Research Focus**: Her lab develops systems-level models of affective neuroscience, emphasizing predictive processing, interoception, and cultural influences on emotion. She critiques universal facial expression theories and advocates for a constructionist model of emotion as contextually constructed experiences. **Awards & Honors**: Recipient of the NIH Pioneer Award, APS Mentor Award for Lifetime Achievement, and APA’s Distinguished Scientific Contribution Award. Elected Fellow of the American Academy of Arts and Sciences and Royal Society of Canada. Former President of the Association for Psychological Science (APS). **Key Contributions**: Pioneered the theory of constructed emotion, emphasized the role of interoception in emotion, and demonstrated variability in facial expressions across cultures. Her work bridges basic science and clinical applications, including mental health and legal contexts. **Lab & Teams**: IASLab collaborates across disciplines, with sites at Northeastern and MGH. Current projects explore neural mechanisms of emotion, allostasis, and the impact of aging on memory and resilience.

Liang Xueمشاهده پروفایل

استادیار

• Applied Cryptography
• Cybersecurity
• Data Security and Privacy
• +۴ مورد دیگر

Liang Xue is an Assistant Professor in the School of Information Technology at York University. She holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2022) and completed a postdoctoral fellowship at the University of Guelph’s School of Computer Science (2022–2024). Her research focuses on applied cryptography, blockchain security, privacy-preserving AI, and cybersecurity in cloud and IoT systems. She has published in top-tier journals like IEEE Transactions on Dependable and Secure Computing, and conferences such as IEEE International Conference on Communications. Her work addresses challenges in data privacy, secure authentication, and regulatory compliance in decentralized systems. Recent projects include privacy-enhancing technologies for access control, blockchain-based data trading frameworks, and federated learning with privacy guarantees. She actively contributes to standards for cybersecurity in smart cities and next-generation wireless networks.

Martin Ostoja-Starzewskiمشاهده پروفایل

استاد

• Continuum Mechanics
• Stochastic Mechanics
• Fractal Media
• +۷ مورد دیگر

Martin Ostoja-Starzewski , Ph.D. (McGill), is a Professor of Mechanical Science & Engineering at the University of Illinois at Urbana-Champaign , with affiliate appointments at the Beckman Institute and National Center for Supercomputing Applications . His research spans continuum mechanics , stochastic wave propagation , and fractal media , focusing on scaling laws and the statistical-to-representative volume element transition. 2006–Present: Professor, UIUC 2001–2005: Canada Research Chair, McGill University 2023: Rothschild Distinguished Visiting Fellow, University of Cambridge 2022: Member, European Academy of Sciences and Arts 2024: Academia Europaea Foreign Member His work pioneered continuum mechanics with spontaneous second law violations and tensor random fields for stochastic PDEs. He authored four foundational books, including Tensor-Valued Random Fields for Continuum Physics (2019), and edited 16 special issues. Recent 2025–2023 articles explore odd elasticity , fractal thermodynamics , and stochastic wavefronts , bridging non-equilibrium thermodynamics to granular Couette systems . Scientific accolades include the Worcester Reed Warner Medal (2018) and ASME , AAM , SES fellowships. As part-time faculty at Beckman Institute (2008–Present), he integrates bioimaging with mechanics across electrosurgery and traumatic brain injury modeling.

• Belt Conveyor Systems
• Bulk Solids Handling
• Energy Efficiency in Material Transportation
• +۵ مورد دیگر

Professor Craig Wheeler is a distinguished academic in the School of Engineering at the University of Newcastle, specializing in Mechanical Engineering with a focus on bulk solids handling and belt conveyor technology. As Associate Director of the Centre for Bulk Solids and Particulate Technologies and Deputy Chairman for the Australian Society for Bulk Solid Handling, he has established the university as a global leader in fundamental and applied research within this field. Wheeler's research interests primarily center on reducing the energy intensity and environmental impact of ore and mineral transportation globally. His work develops novel theoretical approaches to model and optimize belt conveyor and bulk handling systems, with significant contributions in energy-efficient transportation, dust emission control, and innovative conveying technologies like the Rail Conveyor system. His research bridges fundamental computational techniques with practical industrial applications, addressing real-world challenges in bulk material handling. His extensive publication record demonstrates trends toward increasingly sophisticated modeling techniques, combining continuum mechanics, discrete element methods, and computational fluid dynamics to solve complex problems in bulk material flow and energy consumption. Recent work shows particular emphasis on large-diameter idler rollers for energy savings, rail-running conveyor systems, and advanced dust control methodologies. 2023 Engineers Australia - Australian Society for Bulk Solids Handling 2017 Significant Contributions to Engineers Australia's Warman Design and Build Competition (Weir Minerals) 2017 Australian Council of Engineering Deans National Award for Engineering Education Excellence 2016 Innovative Technology Award (Australian Bulk Handling) 2010 Rising Star Award (Newcastle Innovation, The University of Newcastle) 2009 Pro-Vice Chancellor's Award for Research Excellence 2006 Best Research and Development Project (Australian Bulk Handling Review) 2000 A.W. Roberts Award (Australian Society for Bulk Solids Handling) Professor Wheeler has successfully led numerous Linkage Projects with major companies including Rio Tinto, Veyance Technologies, and Laing O'Rourke, securing significant cash and in-kind contributions for research projects. His industrial consulting experience, built on a 10-year engineering career with BHP, provides valuable insights that bridge fundamental research with practical applications. He actively supervises research students and contributes to professional development courses both within Australia and internationally. As a key member of the Centre for Bulk Solids and Particulate Technologies in association with TUNRA Bulk Solids, Wheeler leads research teams focused on developing eco-friendly conveying solutions. His work has resulted in new licensed technologies, internationally recognized testing methods, design guidelines, and Australian Standards that have transformed industry practices worldwide.

Mark Griffinمشاهده پروفایل

استاد

• Organizational Behavior
• Workplace Safety
• Leadership
• +۵ مورد دیگر

Mark Griffin is a Professor and Director of the Future of Work Institute at Curtin University’s Faculty of Business and Law. His research focuses on organizational performance, leadership, workplace safety, and employee well-being. He holds a PhD from Pennsylvania State University and has held academic positions at institutions including the University of Queensland and the University of Sheffield. Griffin’s research spans multilevel modeling, safety climate, and leadership behaviors. He has managed large-scale projects across industries like healthcare, energy, and construction, emphasizing practical applications of theory. His work has been published in top-tier journals such as the Journal of Applied Psychology and Academy of Management Journal . Key awards include Fellowships from the Australian Academy of Social Sciences and the US Society for Industrial/Organizational Psychology. He has also served as an editor for major journals including the Journal of Management and Organizational Psychology Review . Griffin’s current role at the Future of Work Institute promotes productive and meaningful work in the digital age, addressing societal and economic challenges through collaborative research. His work integrates psychological and systems perspectives to advance organizational practices and workplace well-being.

Gokhan Aydinمشاهده پروفایل

مدرس ارشد

• Online Consumer Behavior
• Digital Marketing
• Mobile Marketing
• +۵ مورد دیگر

Dr. Gokhan Aydin serves as a Senior Lecturer at the University of Brighton's School of Business and Law, affiliated with the Digital Innovation and Transformation Research Excellence Group and Centre for Regenerative Medicine and Devices. His academic profile reflects expertise in digital consumer behavior and quantitative research methodologies within business contexts. Education: PhD from Istanbul Technical University (2009) with thesis on "Effect of consumer based brand equity on firms' financial performance" His research centers on online consumer behavior , digital marketing (mobile/social media), digitalization (mobile applications/payments), and brand equity . Methodologically, he employs cross-sectional data with multivariate analyses including structural equation modeling (SEM) and machine learning clustering algorithms, frequently applying frameworks like UTAUT and PLS-SEM. Recent publications (2023-2025) reveal strong thematic convergence in sustainability-driven consumer behavior, Gen Z technology adoption, and virtual human interactions. Key trends include green fashion purchasing motivations, mobile health app usage barriers, and anthropomorphism effects in digital environments, demonstrating consistent application of advanced statistical modeling across diverse digital marketing contexts. Scientific Awards: None documented Dr. Aydin has supervised at least one student and maintains active academic service through 29 recorded activities including peer-review for the Journal of Global Fashion Marketing, Health Expectations, Australian Journal of Management, and Journal of Business Analytics. His May 2025 invited talk addressed "Personal Health, Digital Transformation and Healthy aging: Mobile Devices and Applications". He contributes to the Digital Innovation and Transformation Research Excellence Group and Centre for Regenerative Medicine and Devices, focusing on digital transformation impacts across business and healthcare sectors through collaborative research initiatives.

Sara van de Geerمشاهده پروفایل

استاد

• Mathematics for machine learning
• High-Dimensional statistics
• Empirical processes
• +۲ مورد دیگر

Sara van de Geer is a Full Professor at the Seminar for Statistics within the Department of Mathematics at ETH Zürich since 2005. She previously held academic positions at the University of Leiden, Université Paul Sabatier (Toulouse), and others. She earned a Master's (1982) and Ph.D. (1987) in Mathematics from Leiden University. Her research focuses on high-dimensional statistics, empirical processes, and mathematical foundations of machine learning. Van de Geer has received prestigious recognitions including the Van Wijngaarden Award (2016), Knight in the Order of Orange-Nassau (2015), and membership in Leopoldina (2013). She served as President of the Bernoulli Society (2015–2017) and Chair of the Seminar for Statistics at ETH Zürich. Her contributions include landmark works on statistical learning theory and high-dimensional inference, with key publications in top journals like Annals of Statistics and SIAM/ASA Journal on Uncertainty Quantification. Her academic leadership includes organizing Saint Flour Lectures, Wald Lectures (2016), and delivering plenary lectures globally. Her research bridges theoretical statistics with applied methodologies, emphasizing rigorous mathematical frameworks for modern data analysis challenges.

• Media Studies
• Communication
• Journalism
• +۵ مورد دیگر

Stephen Harrington is a researcher at Queensland University of Technology , affiliated with the Faculty of Creative Industries, Education and Social Justice and the School of Communication . His work bridges media studies , journalism , political communication , and digital culture , focusing on how entertainment , satire , and social media shape public knowledge and information dissemination. Research Interests : Media convergence and television in the digital age Dynamics of disinformation , conspiracy theories , and political communication Role of satire and unorthodox news forms in public engagement Notable Contributions : Analyzed social media usage during the COVID-19 pandemic (2025) Developed computational methods for studying problematic news-sharing on Facebook (2023) Co-authored QUT DMRC submissions to Senate inquiries on digital misinformation (2024) His recent 15 publications (2004–2025) span topics like media policy , platform accountability , and audience behavior across social media , TV news , and digital journalism . While specific scientific awards and students are not documented in the provided materials, his work consistently addresses the intersection of entertainment and information in contemporary media landscapes.

Marjorie Zielkeمشاهده پروفایل

استاد پژوهشی

• Medical Simulation
• Virtual Reality
• Artificial Intelligence
• +۳ مورد دیگر

Marjorie Zielke is a Research Professor and Director of the Center for Simulation and Synthetic Humans at the University of Texas at Dallas (UT Dallas). She specializes in virtual human systems, medical simulation technologies, and interdisciplinary research at the intersection of arts, technology, and healthcare. Her academic roles include leading the Center for Modeling and Simulation, overseeing projects funded by NSF, NIH, and other agencies, and directing collaborations with institutions like Southwestern Medical Foundation and Sam Houston State University. Her work has been recognized with multiple awards, including first place at the International Meeting of Simulation in Healthcare (IMSH) and IITSEC. Education: PhD in Aesthetic Studies (UT Dallas, 2007), MBA (UT Arlington, 1980), and BS in Journalism (University of Illinois, 1977). Research focuses on virtual patients, augmented reality in medical training, and game-based learning platforms. She has pioneered projects like the Emotive Virtual Patient and the Individual Nystagmus Simulated Training Experience (INSITE), addressing clinical communication and law enforcement training needs. Grants and Projects: Over $3M in funding for initiatives such as the NSF-funded Virtual Reality Graded Exposure (VRGE) program and the Texas Department of Transportation-supported INSITE project. She also leads the Virtual Dyslexia Therapist initiative under a Texas Scottish Rite Hospital grant. Teaching includes managing interactive media projects and graduate courses on cyberpsychology and autonomous technology design.

Camilla Fioriniمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Numerical Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Camilla Fiorini is an Associate Professor at the National Conservatory of Arts and Crafts (CNAM) in Paris, where she conducts research at the Mathematical and Numerical Modeling Laboratory (M2N). She serves as Principal Investigator for the ANR-funded SPARCL project (2025-2029) focusing on structure-preserving reduced order models for conservation laws. Her academic background includes a PhD in Applied Mathematics from the University of Versailles and both MSc/BSc degrees in Mathematical Engineering from Politecnico di Milano. Her research centers on computational fluid dynamics, numerical analysis of PDEs, and sensitivity methods, with specific applications in uncertainty quantification and reduced order modeling. Current projects develop novel approaches for conservation laws that maintain structural properties while improving computational efficiency and reliability. Fiorini's publication record demonstrates consistent focus on sensitivity analysis techniques for complex fluid systems, shock-capturing methods, and uncertainty propagation in hyperbolic PDEs. She received the SMAI-GAMNI PhD Award 2019 (French ECCOMAS Award) for her doctoral dissertation on sensitivity analysis for nonlinear hyperbolic systems. As Principal Investigator of the SPARCL project, she leads a team developing new reduced basis construction techniques for conservation laws. Fiorini actively advises graduate researchers including PhD students Nathalie Nouaime (2021-2024) and Nicolas Lepage (2022-present), plus multiple Master's candidates. Her research group collaborates with institutions including Inria, Sorbonne University, ONERA, and CEA. Current projects include ANR JCJC-funded SPARCL and ANR AHEAD initiatives. She leads the SPARCL research group at M2N laboratory, collaborating with researchers including Alessia Del Grosso, Iraj Mortazavi, and Taraneh Sayadi on reduced order modeling techniques. The team focuses on developing computationally efficient ROMs that preserve physical structures in conservation laws.

Karen Levyمشاهده پروفایل

دانشیار

• Law and technology
• Surveillance and privacy
• Information technology policy
• +۷ مورد دیگر

Karen Levy is an Associate Professor in the Department of Information Science at Cornell University, with affiliate roles in Cornell Law School, Sociology, Science and Technology Studies, Media Studies, and Data Science. She holds a PhD in Sociology from Princeton University and a JD from Indiana University Maurer School of Law. Her research focuses on the legal, organizational, and ethical dimensions of data-intensive technologies, particularly their impact on work, marginalized communities, and intimate relationships. Education: PhD in Sociology, Princeton University Juris Doctor (JD), Indiana University Maurer School of Law Her research interests include workplace surveillance, AI governance, algorithmic fairness, and the intersection of technology with privacy and social control. She critiques how data collection and monitoring disproportionately affect vulnerable populations, such as low-wage workers and victims of domestic abuse. Her 2022 book, Data Driven: Truckers, Technology, and the New Workplace Surveillance , examines surveillance practices in the trucking industry. Awards & Fellowships: New America Fellow Fellow, Canadian Institute for Advanced Research (CIFAR) Her work bridges sociology, law, and computer science, often analyzing how technologies reconfigure power dynamics. Current projects explore AI in public decision-making, algorithmic labor platforms, and the ethical implications of automated systems in healthcare and sports.

Anders Brandtمشاهده پروفایل

دانشیار

• Geospatial Information Science
• Flood Risk Mapping
• Uncertainty Analysis in Environmental Modeling
• +۶ مورد دیگر

Anders Brandt is an Associate Professor (Docent) in Geospatial Information Science and Senior Lecturer in Geomatics at the University of Gävle, Sweden, within the Department of Computer and Geospatial Sciences under the Faculty of Engineering and Sustainable Development. His research focuses on flood risk mapping uncertainties, agent-based modeling of pedestrian movement, and spatial decision-support systems for sustainable urban planning. He holds a PhD in Physical Geography from the University of Copenhagen and has extensive international collaboration experience. Education: PhD in Physical Geography (University of Copenhagen, Denmark), focusing on fluvial geomorphology of Costa Rica’s Reventazón River Master’s Degree in Physical Geography (Uppsala University, Sweden) Research Interests: Brandt’s work addresses uncertainties in flood modeling, spatial decision analysis, and geospatial data applications for urban resilience. His projects include the 'Big Data Methodology for Experiential and Cognitively Sustainable Urban Growth' initiative, emphasizing ecosystem service mapping and spatial MCDA methods. His agent-based modeling research explores emergent urban path systems to optimize pedestrian infrastructure. Publications Trends: Recent work spans flood risk visualization, blue-green infrastructure roles in climate resilience, and urban form complexity metrics. His 2025 papers highlight innovative applications of agent-based modeling and systematic reviews of climate hazard mitigation strategies. Advising & Grants: While no formal advisee list is provided, his collaborative publications suggest involvement in student projects. His grants include international initiatives like Mongolia’s land administration capacity-building programs. Labs/Teams: Co-founded GeoVega , a consulting firm specializing in flood risk mapping and geospatial solutions. Active in educational initiatives like harmonizing GIS curricula in Swedish universities.

• Deontic Logic
• Artificial Intelligence
• Cognitive Robotics
• +۴ مورد دیگر

Prof. Leon van der Torre is a full professor of computer science at the University of Luxembourg, affiliated with the Lab for Intelligent and Adaptive Systems (ILIAS). He specializes in formal models of reasoning and interaction in intelligent systems, with research spanning deontic logic, argumentation theory, cognitive robotics, and compliance technologies. He was granted the Bao Yugang Chair Professorship at Zhejiang University (2023) and has held visiting positions, including at Stanford University's CSLI (2013). His research focuses on integrating logical formalisms with computational systems to address normative reasoning, multiagent coordination, and ethical AI. Key contributions include work on argumentation frameworks, deontic logic applications, and formal models of normative systems. He teaches courses such as 'Introduction to Intelligent Systems' and 'Game Theory', reflecting his expertise in AI and computational reasoning. Prof. van der Torre actively participates in international conferences (e.g., DEON, PRIMA) and has authored over 400 publications. His work bridges theoretical foundations with practical applications, addressing challenges in AI ethics, legal reasoning, and multiagent systems coordination.