جست‌وجوی استاد و پژوهشگر

Anthony Niblettمشاهده پروفایل

استاد

• Artificial Intelligence
• Law
• Economics
• +۶ مورد دیگر

Anthony Niblett is a Professor and Canada Research Chair in Law, Economics, & Innovation at the University of Toronto Faculty of Law. He is an Affiliate Researcher with the Vector Institute for Artificial Intelligence and co-founder of Blue J, a startup leveraging AI for tax and legal professionals. Education: Ph.D. in Economics, Harvard University (2009) M.A. in Economics, Harvard University (2006) LL.B. (Honours), University of Melbourne (2003) B.Com. (Honours in Economics), University of Melbourne (2003) Bigelow Fellow, University of Chicago His research bridges artificial intelligence , innovation , and legal theory , with a focus on contract law , competition policy , and judicial behavior . He explores how machine learning transforms legal practice, regulatory frameworks, and judicial decisions. His work includes self-driving contracts , computational antitrust , and the personalization of law . Recent publications analyze AI’s role in legal disagreement , gender gaps in employment law , and computational merger reviews . His articles emphasize the intersection of technology , economics , and legal reform . Scientific Awards: Canada Research Chair in Law, Economics, & Innovation Bigelow Fellow, University of Chicago He serves as an Academic Advisor at the Future of Law Lab and contributes to Blue J , advancing AI applications in legal domains. His teaching includes Contract Law , Torts , and Economic Analysis of Law .

Muchao Yeمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• AI Safety
• +۷ مورد دیگر

Muchao Ye is an Assistant Professor in the Department of Computer Science at the University of Iowa. He earned his Ph.D. from Pennsylvania State University's College of Information Sciences and Technology in 2024 and a Bachelor of Engineering in Information Engineering from South China University of Technology. Ph.D., Information Sciences and Technology, Pennsylvania State University (2024) B.Eng., Information Engineering, South China University of Technology His research focuses on the intersection of Artificial Intelligence, Machine Learning, and AI Safety, particularly adversarial robustness in language models and vision-language models. He designs methods to enhance the security and reliability of deep learning systems for safety-critical applications like video surveillance and healthcare. Recent publications highlight adversarial robustness frameworks (e.g., UniT , PAT ), vision-language models for explainable video anomaly detection ( VERA ), and healthcare risk prediction techniques ( MedPath , MedRetriever ). His work appears in top venues such as NeurIPS, KDD, AAAI, ACL, and CVPR. Professional experience includes Applied Scientist internships at Amazon (2022–2023) and teaching roles at the University of Iowa and Pennsylvania State University. He serves as a reviewer for conferences like NeurIPS, ICML, and journals including IEEE TPAMI.

Gerold Alsmeyerمشاهده پروفایل

استاد

• Theory of stochastic processes
• Stochastic fixed-point equations
• Iterated function systems
• +۷ مورد دیگر

Prof. Dr. Gerold Alsmeyer is a faculty member at the Institute of Mathematical Stochastics, Department of Mathematics and Computer Science, University of Münster. He is an active researcher with a focus on stochastic processes, particularly stochastic fixed-point equations and iterated function systems. His work is supported by his role as an Investigator in Mathematics Münster in the project EXC 2044 - C1: Evolution and asymptotics. His primary research interests include the theory of stochastic processes, branching processes, Markov random walks, renewal theory, and the asymptotic analysis of random structures such as random trees and polytopes. He has made significant contributions to the understanding of fluctuation theory, perpetuities, and the smoothing transform. His recent publications (2017–2023) reveal a sustained focus on theoretical probability, with recurring themes in random difference equations, iterated function systems, and limit theorems for stochastic processes. The work spans pure mathematical theory and applications in mathematical biology and combinatorics, indicating a broad yet deep research profile. Prof. Alsmeyer has supervised numerous doctoral and master’s students, including Viet Hung Hoang, Christopher Eick, Philipp Godland, and Fabian Buckmann, whose dissertations cover topics in branching processes, random walks, and stochastic fixed-point equations. He has no listed scientific awards in the provided texts. He teaches courses in probability theory, mathematical statistics, branching processes, and stochastic recursion equations, demonstrating a strong commitment to academic mentoring and education.

Philip J. Ethingtonمشاهده پروفایل

استاد

• Urban History
• Political History
• Social History
• +۱۰ مورد دیگر

Philip J. Ethington is Professor of History, Political Science, and Spatial Sciences at the University of Southern California's Dornsife College of Letters, Arts, and Sciences. As Co-Director of the USC Center for Transformative Scholarship and Fellow of the Los Angeles Institute for the Humanities, he bridges historical scholarship with digital innovation through projects like HyperCities. Ethington's educational background includes: Ph.D. in History from Stanford University (1989) Postdoctoral Fellowship at Harvard University's Charles Warren Center (2007-2008) Getty Scholar at the Getty Research Institute (1996-1997) His research pioneers spatial theory of history through chronographs and digital cartography, examining urban evolution from Pleistocene times to present. Key interests include global metropolis studies , visual culture , and digital humanities , with focus on Los Angeles as a case study for transnational urban dynamics. Recent publications reveal consistent exploration of spatial dimensions in historical analysis, particularly through geographic institutionalism and deep historical regionalism. His work integrates cartographic innovation with theoretical frameworks to map urban change across millennia, emphasizing institutional ecology and transnational connections. Scientific recognition includes: Nomination for USC's Steven B. Sample Teaching Award (2010-2011) USC Interdisciplinary Faculty Fellowship (2004-2005) Award-winning documentary film Visual Acoustics (2009) Ethington mentors undergraduate researchers in urban history while leading major grants including MacArthur Foundation's HyperCities project ($238,000) and NEH's Digital Humanities initiative ($248,492). His funded work develops collaborative platforms for geohistorical research and digital publishing. He co-directs the USC History Lab and Center for Transformative Scholarship, fostering interdisciplinary collaboration through the Population Dynamics Lab and HyperCities consortium for participatory urban mapping.

Angela Crowمشاهده پروفایل

دانشیار

• Design
• User Experience (UX)
• Freedom of Movement
• +۷ مورد دیگر

Angela Crow is an Associate Professor at James Madison University (JMU) in the School of Writing, Rhetoric and Technical Communication, where she has served since 2012. Her research bridges literacy studies, design, and urban mobility, focusing on how communities advocate for car-free infrastructure and equitable public spaces. She explores the role of digital communication in fostering feminist interventions, particularly around cycling advocacy and street design. Her work intersects with gender studies, urban studies, and rhetorical theory. Educated at the University of Kansas (Ph.D., 1997) and Point Loma College (B.A., 1987), she has authored books on writing programs and composition studies, including Aging Literacies (2006) and Field of Dreams (2002). Recent publications analyze surveillance, privacy in digital contexts, and transportation equity. Her research often highlights marginalized voices in shaping public discourse. Research Interests: Her current projects examine embodied literacies in mobility advocacy, social media practices of grassroots movements, and the rhetoric of urban infrastructure. She critiques car-centric planning through feminist and critical frameworks, emphasizing accessibility and safety for non-car users. Her work also addresses aging populations’ digital literacies and the intersection of technology with social inequality. Publications: Her articles span rhetorical analysis of social movements, educational assessment frameworks, and the sociotechnical dimensions of writing. Recent trends include collaborations on privacy in big data and participatory design for community mobility.

• International Relations
• Conflict Studies
• State Formation
• +۴ مورد دیگر

Douglas Lemke is a Professor of Political Science and Director of Graduate Studies at the University of Pennsylvania State (Penn State) within the College of the Liberal Arts. His primary affiliation is with the Department of Political Science. Professor Lemke has been at Penn State since 2004, previously teaching at the University of Michigan and Florida State University. He earned his Ph.D. from Vanderbilt University in 1993. His research focuses on conflict studies, encompassing both interstate and intrastate conflicts, with a particular emphasis on how international relations theories can explain domestic conflicts and inform state-making processes. Key areas include territorial non-state actors, state failure, power transitions, and regional security dynamics. His work has appeared in leading journals such as the American Journal of Political Science and International Studies Quarterly, and he authored the influential book Regions of War and Peace (Cambridge University Press, 2002). Professor Lemke’s recent publications (2023–2013) highlight themes like the influence of international norms on non-state actors, historical legacies of state formation, and regional power dynamics. His scholarship bridges theoretical frameworks from international relations and comparative politics, offering insights into the interplay between global and domestic conflict drivers. He currently holds no listed scientific awards but maintains an active research agenda supported by his academic roles. His advising and grants focus on graduate student mentorship and institutional contributions as Director of Graduate Studies. Lemke’s professional website is https://sites.psu.edu/territorialcontenders/ .

• Tobacco Cessation
• Health Policy
• Health Insurance Benefit Mandates
• +۳ مورد دیگر

Dr. Sara McMenamin is an Associate Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. She serves as the Associate Director of the MPH program and Interim Assistant Dean for Undergraduate Education . Her research focuses on state-level policies addressing tobacco use and preventive services, particularly health insurance coverage for tobacco dependence treatment in California and nationally. She also co-chairs the California Health Benefits Review Program , evaluating proposed health insurance legislation's medical, cost, and public health impacts. Her work spans public health policy analysis , health insurance mandate evaluations, and tobacco control strategies. Key areas include analyzing the effects of tobacco tax increases (e.g., Proposition 56), tracking smoking trends among youth and adults, and investigating the interplay between e-cigarette use and smoking cessation. She has contributed to studies on fertility preservation mandates, telemedicine for substance use disorders, and health equity in insurance access. Recent research highlights include assessing declines in youth smoking despite e-cigarette surges, evaluating tobacco policy coverage changes in California, and projecting future cigarette consumption trends. Her work often bridges policy implementation and population health outcomes, emphasizing evidence-based approaches. Dr. McMenamin collaborates with interdisciplinary teams and state agencies to translate research into actionable policies. Her contributions span over 150 peer-reviewed publications, with frequent media and policy engagement (e.g., cited in 14+ news outlets for key studies).

• Network Security
• Privacy-Preserving Technologies
• Machine Learning for Networking
• +۵ مورد دیگر

Ke Xu is a Professor in the Department of Computer Science at Tsinghua University's School of Information Science and Technology. With extensive research contributions in network security, privacy-preserving technologies, and machine learning applications for networking, Professor Xu has established himself as a leading researcher in computer science. Professor Xu's research interests span network security, privacy-preserving technologies, machine learning for networking, federated learning, internet protocols, encrypted traffic analysis, blockchain applications, and AI in networking. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges and network optimization problems. He has developed novel frameworks for secure network operations, privacy-preserving data sharing, and efficient AI deployment in distributed environments. Professor Xu's publication record shows a clear trend toward integrating artificial intelligence with traditional networking challenges. His recent work explores federated learning security, encrypted traffic analysis using deep learning, and novel approaches to network security that leverage machine learning techniques. The interdisciplinary nature of his research spans computer networking, security, privacy, and artificial intelligence. Professor Xu has received recognition for his contributions to network security and privacy-preserving technologies through publications in top-tier venues including IEEE journals, ACM conferences, and security symposia. His work has appeared in IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, and security conferences like CCS and NDSS. Professor Xu actively collaborates with researchers across institutions, supervising students and junior researchers in exploring cutting-edge problems in network security and AI. His research has been supported by significant grants focusing on network security, privacy, and intelligent networking infrastructure. He leads projects that address fundamental challenges in secure communication, privacy-preserving data analysis, and intelligent network management. Professor Xu is involved with research laboratories focusing on network security and intelligent systems at Tsinghua University. His team works on developing practical security solutions, privacy frameworks, and AI-enhanced networking protocols that address real-world challenges in today's increasingly connected world.

• Entrepreneurship
• Tourism Management
• Sustainable Business Models
• +۲ مورد دیگر

Dr. Silvia Baiocco serves as Assistant Professor at University of Rome Tor Vergata, teaching entrepreneurship, tourism management, and marketing courses across Bachelor and Master programs including 'Creation of Enterprises and Entrepreneurship' (Master), 'Fundamentals of Service Management' (Bachelor), and 'Tourism and Cultural Management for Sustainability' (Bachelor). Her institutional affiliation centers on Business Economics (sector ECON-07/A) with research rooted in co-evolutionary theory. Her research critically examines sustainable business model innovation through three interconnected lenses: (1) tourism-destination co-evolution in historic villages and Alberghi Diffusi, (2) university-industry knowledge exchange for sustainable spin-offs via PNICube Observatory frameworks, and (3) technology integration in smart tourism through AI-driven destination management. She emphasizes context-specific adaptation in both high-income (Italy) and low/middle-income settings (Ghana), with strong focus on social impact and heritage preservation. Analysis of her 2023-2025 publications reveals accelerating focus on digital tourism transformation (AI applications, smart city integration) and resilience-building in accommodation firms. Her work consistently applies co-evolutionary frameworks to decode organizational adaptation, particularly in sustainable entrepreneurship contexts. The PNICube Observatory reports highlight her policy-relevant contributions to university research valorization. As educator, Dr. Baiocco actively shapes future business leaders through courses spanning startup creation to sustainable destination management. Her research trajectory indicates deepening engagement with technology-mediated sustainability solutions and cross-sectoral innovation ecosystems, particularly through ongoing PNICube Observatory initiatives.

Vinayak Dixitمشاهده پروفایل

استاد

• Transportation Risk Analysis
• Highway Safety
• Travel Time Uncertainty
• +۶ مورد دیگر

Professor Vinayak Dixit serves as the IAG Chair of Risk in Smart Cities and Director of the Research Centre for Integrated Transport Innovation (rCITI) at the University of New South Wales (UNSW), within the School of Civil and Environmental Engineering. With a distinguished career spanning academia and research leadership, Professor Dixit has established himself as a leading expert in transportation risk analysis and smart city infrastructure. Professor Dixit's research focuses on studying risk in transportation infrastructure systems, with particular emphasis on highway safety, travel time uncertainty, and resilience against natural and man-made disasters. His work integrates cutting-edge approaches including quantum computing applications for transportation network optimization, analysis of connected and automated vehicles, and development of models for transportation resilience. His research interests span multiple disciplines, bridging civil engineering, transportation science, risk analysis, and computational methods. Professor Dixit has secured significant research funding from prestigious organizations including the United States National Science Foundation, Federal Highway Administration, and the Strategic Highway Research Program of the Transportation Research Board. His leadership extends to directing the Research Centre for Integrated Transport Innovation (rCITI), where he oversees a comprehensive research program addressing critical transportation challenges in smart cities through multiple focus areas including Connected Mobility Services, Deep Data and Digitization, Engineering Smart Cities & Logistics, Human-Centred And Automated Systems Design, and Integrated Infrastructure Strategic Planning. Professor Dixit previously served as the Associate Director of Research for the Gulf Coast Centre for Evacuation and Transportation Resiliency at Louisiana State University, where he founded the Driving Simulator Laboratory in collaboration with other faculty members. This demonstrates his longstanding commitment to innovative research infrastructure development and interdisciplinary collaboration across engineering, economics, computer science, and urban planning to address complex transportation challenges in the 21st century.

• Integrated Circuits
• Mixed-Signal Computing
• Neural Recording Systems
• +۱ مورد دیگر

Boris Murmann is Professor at Stanford University, specializing in integrated circuit design, mixed-signal computing, and energy-efficient AI hardware. His research advances neural interface technologies, analog design automation, and tinyML systems. Recent work develops ultra-low-power neural recording ICs for brain-computer interfaces, RRAM-based memory systems, and open-source semiconductor design frameworks. Publications demonstrate innovations in compressive sensing for neural data, hardware-algorithm co-design, and reinforcement learning for analog circuit synthesis. Significant contributions include Medusa (TinyML processor), EMBER (RRAM macro), and methodologies for coarsely-quantized computer vision and analog design automation.

WANG Qinghaiمشاهده پروفایل

دانشیار

• Non-Hermitian Quantum Mechanics
• Quantum Field Theory
• Mathematical Physics
• +۳ مورد دیگر

WANG Qinghai is an Associate Professor (Educator Track) at the National University of Singapore (NUS), specializing in Non-Hermitian PT-symmetric quantum mechanics, quantum field theory, and mathematical physics. His research explores the stability of non-Hermitian systems through periodic driving, time-dependent PT-symmetric frameworks, and applications of 2×2 matrices in quantum dynamics. Recent publications focus on advanced topics in quantum mechanics, thermodynamics, and cosmological instantons, reflecting his interdisciplinary expertise. While no formal student lists or scientific awards are documented in the provided texts, his work bridges theoretical physics and applied mathematics.

• Information Systems
• Organisation and Management Theory
• Business and Management
• +۳ مورد دیگر

Susan Scott is a Professor of Management and Artificial Intelligence at Imperial College London, holding a joint appointment with the Imperial College Business School and IX, the university’s AI initiative. She previously held academic roles at the London School of Economics and Political Science (LSE), including Professor of Information Systems and Innovation and Faculty Group Lead in the Department of Management. Her research spans Information Systems, Organization Theory, and Technology Management, with a focus on sociomateriality, digital transformation, and ethical innovation. Scott earned a PhD in Management (Information Systems) from the University of Cambridge, an MSc in Information Systems from LSE, and a BA in History and Politics from SOAS, University of London. Her work bridges theoretical and applied domains, addressing challenges in digital accountability, institutional displacement, and the societal impacts of emerging technologies. She has contributed to major initiatives like the SWIFT financial network analysis and explored ethical dimensions of AI and big tech. Her articles critically examine topics such as crowd-based accountability, digital undertows in industry standards, and the material-discursive practices shaping organizational practices. Though no awards are listed, her extensive publications reflect a commitment to rigorous qualitative and mixed-methods research, emphasizing phenomenon-focused theorizing in Information Systems. Scott’s research agenda integrates academic and practical insights, addressing future challenges like AI governance, digital responsibility, and the sociotechnical reconfigurations reshaping institutions and industries.

Patrick Sturtمشاهده پروفایل

دانشیار

• Psycholinguistics
• Syntactic processing
• Language comprehension
• +۵ مورد دیگر

Patrick Sturt is a Reader in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on syntactic processing in language comprehension, computational models of incremental parsing, anaphor resolution, and eye movements in reading. With over 100 publications and more than 3,300 citations, he is a recognized expert in psycholinguistics and language processing. Dr. Sturt's research interests span multiple areas of language processing. He investigates how humans comprehend sentences in real-time, with particular focus on syntactic structures, agreement phenomena, and anaphoric reference. His work often employs eye-tracking methodologies to examine the moment-by-moment processing of linguistic information. He has made significant contributions to understanding how readers handle syntactic ambiguities, garden-path sentences, and the role of prediction in language comprehension. His recent publications demonstrate a strong focus on cross-linguistic studies, particularly examining language processing in Mandarin Chinese and Korean. Many of his studies investigate how syntactic and semantic information interact during comprehension, and how linguistic structures like honorifics, classifiers, and non-canonical word orders are processed. His work bridges theoretical linguistics with experimental psycholinguistics, providing empirical evidence for models of sentence processing. Dr. Sturt actively supervises PhD students including Carine Abraham, Wenjia Cai, Chiuchou Hao, Ruomeng Zhu, and Christy Gu. He teaches Psychology of Language 1 and 2 at the MSc level, as well as Data Analysis for Psychology in R for first-year undergraduates. His teaching reflects his research expertise, providing students with both theoretical knowledge and practical analytical skills. Based in Room G29 of the Psychology Building at 7 George Square, Edinburgh, Dr. Sturt maintains regular office hours on Tuesdays from 3-4pm, providing accessibility to students and colleagues. His email address is patrick.sturt@ed.ac.uk.

• Telecom Networks
• Optical Networks
• Complex Networks
• +۲ مورد دیگر

Y. N. Singh is a Professor in the Department of Electrical Engineering at Indian Institute of Technology Kanpur . He holds a PhD and M.Tech from IIT Delhi and a B.Tech from REC Hamirpur . Education PhD, IIT Delhi (1997) M.Tech, IIT Delhi (1992) B.Tech, REC Hamirpur (1991) His research focuses on telecom networks , optical networks , complex networks , and wireless sensor networks , with significant contributions to network protection protocols, rumor propagation modeling, and optical memory design. His work on p-cycles has advanced telecom network survivability techniques. Selected publications include key papers in IEEE/OSA Journal of Lightwave Technology and Acta Physica Polonica B . He has received the AICTE Young Teacher Award (2002) and the Dr. M.N. Saha Memorial Award (2006). Contact details Office: EE/ACES, IIT Kanpur, UP, India-208016 Phone: 0512-[679/392/259]-7944 (O) Lab: 0512-[679/392/259]-7841, 7070 Fax: 0512-259-0063