جست‌وجوی استاد و پژوهشگر

Tony Cooksonمشاهده پروفایل

استاد

• Empirical Finance
• Household Financial Decision-Making
• Investor Behavior
• +۵ مورد دیگر

Tony Cookson is a Professor of Finance and the Michael A. Klump Endowed Professor at the Leeds School of Business , University of Colorado Boulder, where he has served since 2013. His research spans empirical finance , household and corporate financial decision-making , and the impact of social media and legal institutions on financial behavior. He has published in top journals like the Journal of Finance , Journal of Financial Economics , and Management Science , focusing on topics from investor disagreement to fracking-induced debt repayment . Education : Ph.D. in Economics (University of Chicago), M.S. in Statistics and Applied Economics (Montana State University), B.S. in Economics (Montana State University) His research interests include: How social media shapes investor sentiment and trading patterns The economic consequences of fracking and casino policy Legal institutions and their role in credit market development Behavioral finance through LLM-driven investor personas His scientific awards include the Best Paper in Investments and Asset Pricing (MFA 2023) , NASDAQ Best Paper in Asset Pricing (WFA 2021) , and Finalist for TIAA Paul A. Samuelson Award (2021) . He serves as Editor at the Review of Corporate Finance Studies and Associate Editor at multiple top journals.

Massimo Franceschettiمشاهده پروفایل

استاد

• Mathematical Engineering
• Networked Control Systems
• Information Theory
• +۷ مورد دیگر

Massimo Franceschetti is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), with faculty affiliation at Calit2. His research spans mathematical engineering, focusing on control, communication, computation, and sensing, particularly in complex networks and systems. He integrates tools from statistical physics, wave propagation, and information theory to analyze and design networked systems. Born in Naples, Italy, he studied at the University of Naples Federico II and the University of Edinburgh (European exchange program), graduating in 1997. He earned his M.Sc. (1999) and PhD (2003) from Caltech, where he received the Walker von Brimer Award and the C.H. Wiltz Prize for outstanding research and thesis. After postdoctoral work at UC Berkeley (2003-2004), he joined UCSD as faculty and held visiting positions at Vrije Universiteit Amsterdam, EPFL (Switzerland), and the University of Trento (Italy). He became an IEEE Fellow in 2018 and was nominated a Guggenheim Fellow in 2019. His research includes networked control systems , stochastic geometry , electromagnetic information theory , and social dynamical systems . Recent work explores non-invasive emotional contagion in social networks, quantum limits on information entropy, and the physics of wave propagation. His publications bridge information theory , machine learning , and network science , often applying percolation theory and random walks to explain scaling laws and wireless signal behavior. Scientific accolades include the S.A. Schelkunoff Transactions Prize , IEEE Communications Society Best Tutorial Paper Award , and the IEEE Ruberti Young Researcher Prize . He co-authored two books: Random Networks for Communication (2007) and Wave Theory of Information (2018). His students have pursued careers in academia (e.g., IIT-Bombay, Notre Dame) and industry (e.g., Google, IBM, Tesla). He teaches courses on network science , information theory , and control systems , emphasizing data-driven analysis and the physical foundations of communication. His group’s work impacts cyber-physical systems , quantum network coding , and epidemic modeling on networks .

Jinzhao Duمشاهده پروفایل

دانشیار

• Platform-based marketing
• Multi-sided media markets
• Matching platforms
• +۵ مورد دیگر

Jinzhao Du serves as Associate Professor of Marketing at The University of Hong Kong's Faculty of Business and Economics, where he also holds the position of BBA Deputy Programme Director and Admissions Tutor. His academic journey includes a Ph.D. in Marketing from Duke University (2018) and a B.A. in Economics from Tsinghua University (2012). His educational background includes: Ph.D. in Marketing, Duke University, 2018 B.A. in Economics, Tsinghua University, 2012 Professor Du's research centers on platform-based marketing, with particular emphasis on media platforms and matching platforms. His work examines strategic interactions among multiple players in media ecosystems (publishers, consumers, advertisers, content suppliers, and news aggregators) and investigates how information design, strategic pricing, and AI development can improve matching outcomes. He employs game-theoretic models to analyze these complex market dynamics, with growing attention to how consumer data rights and AI tools are reshaping platform marketing landscapes. His publication portfolio reveals consistent contributions to top marketing and operations journals, with recent work focusing on personalized product offerings, ride-hailing platform operations, customer review systems, media platform competition, and publisher-aggregator relationships. The research demonstrates a strong theoretical foundation while addressing practical challenges faced by platform companies. Notable recognition includes: 2022 Research Output Prize in the Faculty of Business and Economics at HKU Professor Du actively mentors doctoral students, including executive professionals pursuing DBAs, and teaches courses including Pricing Strategies and Tactics (MSMK 7031), Pricing Strategies (MKTG3527), and Introduction to Marketing (MKTG2501). His industry engagement informs his research on organizational communication and platform strategy, bridging academic theory with practical business applications. He has also shared insights on platform competition strategies, ethical pricing approaches, and the importance of quantitative skills in modern marketing.

Laila Shereen Sakrمشاهده پروفایل

استادیار

• Art & Technology
• Media Theory/Practice
• Algorithmic Culture
• +۹ مورد دیگر

Laila Shereen Sakr is an Assistant Professor of Film & Media Studies and Faculty Affiliate in Feminist Studies at the University of California, Santa Barbara. She co-founded Wireframe, a digital media studio focusing on critical game design, data visualization, VR/AR, and digital activism. Her research explores algorithmic culture, media theory/practice, and feminist Middle East studies through creative coding, data visualization, and immersive worldbuilding. Key projects include the VJ Um Amel data-body and R-Shief software system. Education: PhD in Media Arts + Practice (USC), M.F.A. in Digital Arts (UC Santa Cruz), M.A. in Arab Studies (Georgetown). Research interests span technocultural intersections, digital humanities, and global human rights. Her work examines social media's role in shaping virtual political identities and has been exhibited globally (e.g., SF MoMA, Jordan National Gallery of Art). She co-edits Media Theory and After Video , and collaborates with MIT's Global Media Technologies & Cultures Lab. Publications analyze Arab Spring media dynamics, digital dissidence in MENA, and feminist digital praxis. Her work has been featured in The Wall Street Journal , Science , and The Guardian . Her creative research bridges art and activism, emphasizing open-source Arabic localization. Current projects explore the ethical implications of data-driven narratives in post-revolutionary contexts.

Otman Basirمشاهده پروفایل

استاد

• Intelligent Embedded Systems
• Sensory Systems Design
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Otman Basir is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He serves as Associate Director of the Waterloo Institute for Health Informatics Research and Associate Director of the Pattern Recognition and Machine Intelligence Laboratory. Additionally, he is Director of Urban Informatics Corporation and founder/president/CEO of Intelligent Mechatronic Systems (IMS), a leader in telematics and infotainment technologies. Education: PhD in Systems Design Engineering (University of Waterloo, 1993), MSc in Electrical Engineering (Queen's University, 1989), BSc in Computer Engineering (Al-Fateh University, Libya, 1984). Research focuses on intelligent embedded systems, sensory systems design, biologically inspired systems, and human-computer interfaces. He has authored over 400 publications and holds 121 patents. Recent work includes blockchain applications, vehicular communication systems, and cybersecurity frameworks for IoT. His research emphasizes real-world applications in transportation and healthcare. Key awards include the Ontario Premier Research Excellence Award and Canada Foundation Innovation Award. Teaching includes courses like ECE 124 (Digital Circuits) and ECE 659 (Intelligent Sensors). IMS innovations drive connected car technologies, emphasizing driver safety and sustainability. Patents: 121 issued/pending Grants: Multiple awards supporting health informatics and intelligent systems research Labs: Pattern Recognition Lab, Waterloo Health Informatics Research

• Project Management
• Healthcare Decision Making
• Public-Private Partnerships
• +۳ مورد دیگر

Geert Dewulf is a Professor at the University of Twente, specializing in project governance, public-private partnerships (PPPs), and healthcare decision-making. His research focuses on strategic decision support systems, uncertainty management in healthcare organizations, and adaptive governance frameworks. He has contributed to over 215 publications and supervised 21 students. Key areas of expertise include infrastructure development, construction management, and institutional logics in extended enterprises. Research interests span dynamic decision-making models, stakeholder network dynamics, and the integration of real options and scenario planning in strategic management. He has received awards such as the Best Paper at the 14th Engineering Project Organization Conference and recognition for contributions to community-engaged research in construction management. Education: Not explicitly stated in the provided text. Affiliations: Member of the VISICO Center at the University of Twente, engaged in editorial roles for journals like Engineering Project Organization Journal. Labs/Teams: Associated with interdisciplinary teams focused on healthcare infrastructure and PPP governance. His work addresses challenges in healthcare asset management, resilient infrastructure planning, and fostering collaboration in complex projects. Recent contributions include frameworks for adaptive decision support and serious games for reflecting on partnership dynamics in concessions.

Vanessa Bowdenمشاهده پروفایل

مدرس ارشد

• Human factors
• Applied psychology
• Visual perception
• +۵ مورد دیگر

Vanessa Bowden is a Senior Lecturer in the School of Psychological Science at The University of Western Australia. She serves as Graduate Research Coordinator for the School, Deputy Director of the Master of Industrial and Organisational Psychology program, and Co-Director of the Human Factors and Applied Cognition Laboratory. Her academic credentials include a PhD from The University of Western Australia and a Graduate Diploma in Human Factors and Safety Management Systems from the University of South Australia. Dr. Bowden's research expertise spans multiple domains within human factors and cognitive psychology. Her primary research interests include: Human interaction with technological systems Automation design and human-automation interaction Driver distraction and transportation safety Cognitive processes in complex work settings Situation awareness and workload management Prospective memory in applied contexts Her recent research has focused on understanding how humans interact with automated systems across various domains, from driving to air traffic control. Dr. Bowden has developed computational models of human decision-making with automated advice and has investigated the impact of automation transparency on operator performance. Her work has important implications for designing safer technological systems that optimize human performance. Dr. Bowden has received significant research funding, including an Australian Research Council Discovery grant (2024) for $924,198 for "A Unified Computational Model of How Humans Use Automated Advice" and multiple Department of Defence grants. Her research has been published extensively in top-tier journals in human factors and cognitive psychology. She has supervised numerous research students and currently accepts PhD and other Higher Degree by Research students. Dr. Bowden teaches several courses including Psychology of Training (PSYC5573), Industrial and Organisational Psychology (PSYC3309), and Perception and Sensory Neuropsychology (PSYC3318).

• Heuristic Search
• Combinatorial Search
• Artificial Intelligence
• +۲ مورد دیگر

Nathan Sturtevant is a Professor at the University of Alberta's Department of Computing Science, an Amii Fellow, and Canada CIFAR Chair. His research spans heuristic and combinatorial search problems, with applications in game AI and pathfinding algorithms. He collaborates with the games industry to implement his research in commercial products. Dr. Sturtevant's research explores search algorithms for single and multiple agents, covering areas such as bidirectional search, meta-learning for game theory, procedural content generation, and multi-agent pathfinding. His work integrates machine learning techniques with classical search algorithms to solve complex problems in game environments. Recent publications demonstrate innovations in search optimization, including novel frameworks for suboptimal bidirectional search, new puzzle difficulty metrics, and applications of transformer models to card game planning. His FarmQuest player telemetry dataset provides resources for studying player behavior in farming simulations.

• Game Theory
• Regulatory Economics
• Health Economics
• +۳ مورد دیگر

Dr Jonathan Cave serves as Associate Professor (Reader) in the Department of Economics at the University of Warwick, with additional affiliation at The Alan Turing Institute. His career spans applied game theory, regulatory economics, and health policy, informed by extensive government advisory roles including the UK Regulatory Policy Committee (2015-2024). His educational background includes: BSc in Chemistry & Economics from Yale University (1969-1973) MA in Economics from University of Cambridge (1974-1975) PhD in Economics from Stanford University (1975-1979) Cave's research integrates economic theory with real-world policy challenges, particularly in digital health systems and AI governance. Recent work analyzes patient experience data through NLP techniques, remote healthcare delivery in low-resource settings, and transatlantic ICT policy frameworks. His scholarship bridges theoretical game theory with practical applications in health economics, emphasizing ethical data usage during crises like the COVID-19 pandemic. He maintains strong industry connections through GNKS Consulting, applying academic insights to regulatory practice. Trends in his 2020-2024 publications reveal three dominant strands: 1) Methodological innovations in health data analysis using corpus linguistics; 2) Implementation science for telemedicine in African healthcare systems; 3) Policy frameworks for EU-US digital collaboration. These intersect with Sustainable Development Goals 3 (Health), 10 (Inequality), 11 (Cities), and 13 (Climate), reflecting his commitment to socially impactful research. His grant portfolio demonstrates sustained funding success, including: UKRI's GCRF_NF151 REaCH project (2020-2022) on remote consulting safety in Africa MRC-funded mobile health initiative (2019-2020) for marginalized African communities ESRC grant on livestock disease management (2007-2010) examining epidemiology-economics-politics interfaces Cave collaborates extensively with Professor Frances Griffiths (Warwick) and African researchers on digital health projects, while maintaining advisory capacity for government bodies. His current work focuses on scaling remote consulting solutions validated in the REaCH trials across LMIC urban-rural divides.

Douglas Birdمشاهده پروفایل

استاد

• Ecological Anthropology
• Foraging Economies
• Fire Ecology
• +۲ مورد دیگر

Douglas Bird is Professor of Anthropology at Penn State, researching interactions between social/ecological systems in foraging societies. His collaborative fieldwork with Martu Aboriginal communities examines hunting, fire ecology, and landscape evolution. Key research areas: Ethnoarchaeology of hunter-gatherers Anthropogenic fire regimes Co-evolution of humans/ecosystems Coastal archaeology Field sites include Australia's Western Desert and Torres Strait Islands.

Asaf Cohenمشاهده پروفایل

دانشیار

• Applied Probability
• Stochastic Processes
• Control Theory
• +۱۲ مورد دیگر

Asaf Cohen is an Associate Professor in the Department of Mathematics at the University of Michigan, Ann Arbor, affiliated with the College of Literature, Science, and the Arts. He holds a B.Sc., M.Sc., and Ph.D. from Tel-Aviv University (2005–2013). His research focuses on applied probability, stochastic processes, and control theory, with emphasis on mean-field games, mathematical finance, actuarial science, diffusion and large deviation analysis, machine learning, and risk-sensitive control. His work also addresses applications in stochastic networks, energy markets, epidemiology, and economics. Key research areas include diffusion approximations, large deviations, queueing theory, and partial differential equations. Dr. Cohen has contributed to the analysis of multiclass queueing systems, optimal dividend strategies, and strategic server behavior in heavy traffic regimes. His methods often involve advanced stochastic control techniques and game-theoretic models. He has published extensively on topics such as mean-field games, SIR models for epidemics, and Bayesian sequential testing. His academic contributions span theoretical advancements and practical applications in finance, insurance, and operations research.

Michał Wolskiمشاهده پروفایل

استادیار

• Literary Studies
• Film Studies
• Comic Book Theory
• +۵ مورد دیگر

Dr Michał Wolski is an Assistant Professor at the Department of Editing, University of Wrocław’s Faculty of Philology. Specializing in literature and film studies, he holds degrees in Polish Philology (editing), Journalism, and Typography. His research focuses on vampire imagery, pop culture, comic book theory, and text aesthetics. Education: M.A. in Polish Philology (editing spec.), Journalism & Creative Writing, Academic Typography. PhD (2017): The Imagination of the Vampire in the Face of Models of the Contemporary Antihero . Research Interests: Cultural analysis of vampires in media, typographic design in publishing, superhero narratives, adaptation strategies, and Polish popular culture history. Publications: Authored Sensitive Bloodsuckers (2020), edited Lexicon of (Less Known) Vampire Films (2018), and published over 40 articles in journals like Zeszyty Komiksowe and Journal of Adaptation in Film and Performance . Leadership: Founded the Trickster research association, organized 20+ conferences, and contributed to 13 monographs on pop culture. Co-manages the POPkultura–POPliteratura book series. Projects: Led CLARIN infrastructure work (2013–2015) and editorial projects on vampire films. Currently oversees Stanisław Vincenz Archive initiatives. Labs/Teams: Active in the Department of Editorial Studies and Wrocław’s pop culture research networks.

Rodrigo Viqueiraمشاهده پروفایل

استادیار مهمان

• Modern and Contemporary Latin American Literature
• Cultural Production of Southern Cone and Brazil
• Sound Studies
• +۴ مورد دیگر

Rodrigo Viqueira is a Visiting Assistant Professor in the Department of Hispanic Languages and Literatures at Stony Brook University. He specializes in modern and contemporary Latin American literature and culture, with a focus on the Southern Cone and Brazil. His research explores sound studies, labor, popular culture, film/media studies, and Afro-Latin American Studies. Education: M.A. in Latin American Literature (Universidad de la República, Uruguay) and Ph.D. in Hispanic Studies (Washington University, St. Louis). Current research projects include analyzing the politics of sound in labor representation across Argentina, Brazil, and Uruguay (1920s–1970s), and examining Afro-Uruguayan cultural production through interdisciplinary archives. His monograph Negrismo, vanguardia y folklore (2019) examines Afro-Uruguayan identity construction through the work of Ildefonso Pereda Valdés. He has been awarded the 2024 LASA Southern Cone Best Article Prize for his work on Afro-Uruguayan press and Black internationalism. Courses taught include HUS 150 (Indigenous Cultures of Latin America) and SPN 321 (Advanced Spanish Grammar).

James F. O'Brienمشاهده پروفایل

استاد

• Computer Graphics
• Computer Animation
• Physical Simulation
• +۷ مورد دیگر

Dr. James F. O'Brien is a Professor of Computer Science at the University of California, Berkeley, affiliated with research centers including the Berkeley Artificial Intelligence Research Lab (BAIR) and the Visual Computing Lab (VCL). His research focuses on computer graphics, animation, physical simulation, and image forensics, with applications in film, gaming, and virtual reality. O'Brien pioneered destruction modeling techniques used in over 200 films and games, earning an Academy Award in 2015. He holds leadership roles in tech companies like Juice Labs and Get Klothed, and has advised on patent litigation cases. Education: PhD in Computer Science (Georgia Tech, 2000), MS (Georgia Tech, 1997), BS (Florida International University, 1992). Research Interests: Computer Animation & Simulation Image/Video Forensics Human Perception of Motion VR/AR Privacy & Motion Data Machine Learning Applications Awards: Recipient of the 2015 Academy Award for Technical Achievement, ACM Distinguished Scientist (2009), and MIT TR-35 Innovator (2004). His work spans over 50,000+ VR user studies and groundbreaking contributions to cloth simulation and destruction modeling. Current Projects: Exploring ethical implications of extended reality (XR) motion data, developing privacy-preserving VR systems, and advancing AI-driven animation techniques.

• Humanitarian Operations
• Air Traffic Management
• Logistics Optimization
• +۷ مورد دیگر

Dr. Jose Escribano is a Lecturer in Aviation & Logistics at the Department of Civil and Environmental Engineering within the Faculty of Engineering at Imperial College London. His research focuses on humanitarian logistics optimization, AI-driven airspace management, and urban resilience strategies. He holds a First Class Honours bachelor’s degree (2015) and a PhD (2021) from Imperial College London. Dr. Escribano is affiliated with the Centre for Transport Engineering and Modelling and the Transport Systems and Logistics Project D-Risk SHIFT. His academic qualifications include a BEng in Engineering and a PhD in Civil Engineering, both from Imperial College London. His professional affiliations include the Institution of Civil Engineers, Chartered Institute of Logistics and Transport, and the American Institute of Aeronautics and Astronautics. He has received the 2023 Transportation Research Board Best Paper Award and a JSPS Fellowship for urban evacuation modelling. Dr. Escribano’s research integrates stochastic modelling, machine learning, and simulation to address challenges in humanitarian response, UAV coordination for disaster relief, and airspace safety. His work emphasizes endogenous value-of-information analysis and the application of cutting-edge technologies to enhance societal resilience. He has collaborated with the United Nations World Food Programme on UAV deployment models for humanitarian contexts. His recent publications span topics like air traffic network resilience, autonomous vehicle optimization, and last-mile delivery mechanisms. He advises doctoral candidates in transportation systems, logistics, and air traffic management, offering opportunities for PhD research in these domains.