جست‌وجوی استاد و پژوهشگر

Simon Jossمشاهده پروفایل

استاد

• Urban Futures
• Sustainable Urban Development
• Urban Technologies
• +۴ مورد دیگر

Simon Joss is Professor of Urban Futures and Head of Urban Studies at the School of Social and Political Sciences, University of Glasgow. He holds a biology degree from the University of Bern and a PhD in technology policy from Imperial College London. Previously at the University of Westminster, he directed the Centre for the Study of Democracy and co-founded the International Eco-Cities Initiative. His research focuses on sustainable urban development, smart cities, and urban governance. He is associate director of the ESRC-funded Urban Big Data Centre and has advised bodies like the Wellcome Trust and the BSI Smart Cities Committee. Research interests include urban futures, eco-cities, policy analysis, and the governance of urban innovation. Recent work critiques smart city models, explores post-pandemic urban data use, and examines global sustainable urban frameworks. He has authored over 50 publications on urban sustainability and co-edited key texts like Sustainable Cities: Governing for Urban Innovation (2015). Recent grants include ESRC funding for Urban Big Data governance (2019-2023) and Leverhulme support for international eco-city comparisons. Supervised eight PhDs to completion, with current projects addressing migrant communities in Glasgow, tourism governance, and urban cycling cultures. Teaching focuses on sustainable urban futures, research methods, and urban data governance.

Chris Townleyمشاهده پروفایل

استاد

• Competition Law
• European Union Law
• Regulatory Policy
• +۳ مورد دیگر

Professor Chris Townley is a leading academic in International Competition Law & Regulation at King’s College London, based in The Dickson Poon School of Law. He joined King’s in 2007, following roles as a solicitor at Clifford Chance LLP and Principal Case Officer at the Office of Fair Trading. His research focuses on the intersection of competition law with environmental, cultural, and EU constitutional policy, particularly examining the International Competition Network (ICN). He has advised global institutions including the Egyptian Competition Authority, NHS, and Pakistan Competition Commission. Education: PhD (Doctor of Laws) from the European University Institute (2004), LLM from College of Europe (1994), and LLB from Durham University (1993). Research interests include institutional power dynamics in regulatory networks, digital tools for citizen engagement, and the legitimacy of global competition frameworks. Recent articles analyze ICN reform, digital regulatory tools, and non-state actor influence in global competition governance. His work emphasizes the political and legal dimensions of competition policy. Advising and grants: Collaborations with international bodies like the Superintendence of Industry and Commerce (Columbia) and Thailand’s National Broadcasting and Telecommunications Commission. Projects include the BAARA initiative exploring competition policy goals in new jurisdictions. Active in transnational legal research through the Centre of European Law and Transnational Law Institute.

Deng Xiaotieمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Internet Economics
• Parallel Computing
• +۱ مورد دیگر

Xiaotie Deng is a distinguished academic and Chair Professor at Peking University (since 2018), with prior roles at Shanghai Jiao Tong University (2013–2017), the University of Liverpool (2010–2013), and City University of Hong Kong (1997–2013). His research focuses on algorithmic game theory, internet economics, and parallel computing. He holds prestigious fellowships including ACM Fellow (2008) and IEEE Fellow (2019). Deng has led significant grants, including a RMB 5M project on algorithmic game theory at Peking University (2018–2020) and NNSFC-funded research on market competitiveness and fairness (2018–2020). Education: PhD in Computer Science from Stanford University (1989), MSc from Chinese Academy of Sciences (1984), BSc from Tsinghua University (1982). Research interests span computational game theory, equilibrium analysis, and blockchain applications. Notable contributions include foundational work on Nash equilibrium complexity and mechanism design for resource allocation. He has advised numerous PhD students and serves on editorial boards of top journals like SIAM Journal on Computing and IEEE Transactions on Cloud Computing. Key awards: ACM and IEEE Fellowships, JSPS Invitation Fellowships (2005, 1996), and NSERC International Fellowship (1991). Active in conference organizing, including PC chairs for WINE 2020 and SAGT 2018. Consultancy includes work with Cryptape, Ant Financial, and Microsoft Research Asia, reflecting his industry engagement in algorithmic solutions and blockchain technologies.

• Statistical Physics
• Network Theory
• Complex Systems
• +۹ مورد دیگر

Diego Garlaschelli is a Professor of Theoretical Physics at Leiden University, affiliated with the Leiden Institute of Physics (LION) and the Biological, Soft and Complex Systems department within the Faculty of Science. His research focuses on the structure, dynamics, and physics of complex networks in financial, economic, social, neural, and biological systems. Combining statistical physics, information theory, and data science, his group explores interdisciplinary topics such as systemic risk in financial networks, mesoscopic organization in neural systems, and mathematical modeling of networks using maximum-entropy ensembles. Garlaschelli’s work emphasizes collaboration across fields like mathematics, computer science, economics, and neuroscience. Recent grants include NWO Open Competition funding for projects on network theory and systemic risk. He advises several PhD candidates, including Alessio Catanzaro, Francesca Giuffrida, and Jingjing Wang. His publications span high-impact journals like Nature Physics , Nature Reviews Physics , and Science , addressing topics from ensemble equivalence in networks to cultural diversity models. Key research themes include: (1) statistical physics of constrained systems, (2) financial network reconstruction from limited data, (3) early-warning signals for economic instabilities, and (4) information-theoretic bounds for large data structures. Garlaschelli co-leads the Leiden Complex Network Network (LCN2), fostering Dutch network science collaboration.

Bita Amaniمشاهده پروفایل

دانشیار

• Intellectual Property Law
• Food Law and Governance
• Privacy and Data Protection
• +۵ مورد دیگر

Bita Amani is an Associate Professor of Law at Queen’s University, affiliated with the Cultural Studies Graduate Program. She holds a BA in Sociology (York University), LLB from Osgoode Hall Law School, and SJD from the University of Toronto. Her research focuses on food law, intellectual property, privacy, and feminist legal studies, exploring intersections with technology regulation, sustainability, and gender equity. Key professional roles include: Adjunct Professor at Osgoode Hall Law School (Part-Time Professional Development Program), Co-Director of Feminist Legal Studies at Queen’s, and consultant for governmental bodies like Ontario’s Ministry of the Attorney General. Her work addresses critical issues such as biopiracy, AI ethics, and privacy law implications of emerging technologies. Education: BA (York), LLB (Osgoode), SJD (Toronto) Awards: IWOO High Achiever Award (2017), IT.CAN Board Member (2009-11) Consultancies: Provincial genetic technology policy (2001), foreign polygamy recognition study (2005) Research spans food governance frameworks, algorithmic accountability, and regulatory challenges in biotechnology. She has authored/co-authored influential books like Trade-marks and Unfair Competition: Cases and Commentary on Canadian Law and State Agency and the Patenting of Life in International Law . Her interdisciplinary approach bridges law, science, and social policy. Recent work emphasizes AI’s impact on copyright frameworks and trademark law’s role in sustainability goals.

Patrik Wikstromمشاهده پروفایل

استاد

• Computational Communication
• Music Industries
• Algorithmic Culture
• +۳ مورد دیگر

Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.

Margherita Paganiمشاهده پروفایل

استاد

• Artificial Intelligence for Business
• Consumer Behavior and Digital Technologies
• Digital Platforms
• +۳ مورد دیگر

Margherita Pagani is a Full Professor and Director of the SKEMA Centre for Artificial Intelligence at SKEMA Business School in Paris. She holds a Ph.D. in Management and an HDR (Habilitation à Diriger des Recherches). Her roles include Research Affiliate at UC Berkeley’s APEC Study Center and Advisor to the European Economic Social Committee (EESC) on virtual worlds and the Metaverse. Previously, she founded and led the MSc in Digital Marketing & Data Science and the AIM Research Center at emlyon business school. She has held visiting roles at MIT, UCLA, Georgetown, NUS, and Redlands University. Education: Ph.D. (2015, Lyon), HDR (2016, Évry), MSc (1995, Bocconi), MIT Certifications (2005-2006). Research: Focuses on AI in consumer engagement, digital ecosystems, robotics in services, and metaverse applications. Over 130 publications in journals like MIS Quarterly, MIT Sloan Management Review, and Harvard Business Review. Awards: 2023 International Marketing Trends Award, 2022/2023 Top 2% Cited Scientist (Elsevier), 2009 Mobile Marketing Academic of the Year. Her work bridges AI and marketing creativity, emphasizing human-centric systems. She leads initiatives like the SKEMA AI School and organizes conferences on ethics, AI in education, and service recovery. Active in editorial roles for journals like Micro & Macro Marketing and Industrial Marketing Management . Key affiliations include the Association Française de Marketing and involvement in policy initiatives. Supervised over a dozen PhD students, focusing on AI applications in marketing and entrepreneurship.

Amy Kapczynskiمشاهده پروفایل

استاد

• Intellectual Property Law
• Health Law
• Political Economy
• +۳ مورد دیگر

Amy Kapczynski is a Professor of Law at Yale Law School and Faculty Director of the Global Health Justice Partnership. She co-founded the Law and Political Economy blog and serves as Faculty Co-Director of the Law and Political Economy Project. Her research focuses on how law interacts with political economy, particularly in areas like intellectual property, healthcare, and global justice. Kapczynski holds a J.D. from Yale Law School and advanced degrees from Princeton University, Cambridge University, and Queen Mary University of London. Her work bridges legal scholarship with social movements, advocating for equitable access to medicines and critiquing neoliberal policies. Notable contributions include analyses of pharmaceutical market power, FDA regulation, and the role of intellectual property in healthcare innovation. She has testified before legislative bodies and contributed op-eds to outlets like the New York Times and Washington Post . Kapczynski’s articles span topics such as trade secrets, vaccine distribution, and the legal underpinnings of informational capitalism. Her recent work emphasizes systemic critiques of political economy frameworks and proposes reforms to address market concentration in pharmaceuticals. She received the YLW Faculty Excellence Award in 2022 for her teaching and scholarship. In addition to her academic roles, Kapczynski collaborates with interdisciplinary teams on projects like the Global Health Justice Partnership, addressing systemic inequities in global health systems and advocating for evidence-based policies to improve healthcare access.

Georg Langsمشاهده پروفایل

استاد

• Machine Learning
• Medical Imaging
• Precision Medicine
• +۳ مورد دیگر

Georg Langs is a Full Professor of Machine Learning in Medical Imaging at the Medical University of Vienna and Founding Director of the Computational Imaging Research Lab (CIR). He leads a 25-member interdisciplinary team focusing on machine learning methodologies for medical image analysis. Key roles include Director of the Joint Initiative on AI in Medical Imaging (European Institute of Biomedical Imaging Research) and Scientific Lead of the Respiratory Disease Phenotype Observatory (ZODIAC, UNO/IAEA). He is affiliated with MIT’s CSAIL and serves on advisory boards for global AI initiatives. Education: PhD in Computer Science, Graz University of Technology (2007) M.Sc. in Mathematics, Vienna University of Technology (2003) Research Interests: Machine learning-driven precision imaging, neuroimaging, clinical data phenotyping, and cross-species brain connectivity analysis. His work bridges imaging biomarkers with biological mechanisms and large-scale clinical data integration. Grants & Funding: Over €6M in competitive grants as Principal Investigator in the last two years. Projects include ARTEMIS (fatty liver disease digital twins) and AI-POD (personalized risk scores via imaging). Awards: 2022 IS3R Emerging Leaders Club 2022 National Academy of Medicine Emerging Leader Programme 2018 Advisor, AI Mission Austria 2030 Lab & Teams: CIR Lab focuses on AI-driven medical imaging solutions. Co-founded contextflow GmbH , a MedUni spin-off developing AI software for imaging analysis.

Heikki Peuraمشاهده پروفایل

دانشیار

• Operations Research
• Revenue Management
• Supply Chain Management
• +۳ مورد دیگر

Heikki Peura is an Associate Professor in the Department of Information and Service Management at Aalto University School of Business. Previously, he served as an Assistant Professor at Imperial College Business School, Imperial College London. His educational background includes: PhD in Management Science and Operations from London Business School (awarded June 30, 2016) MSc in Engineering Physics and Mathematics from Aalto University, specializing in Systems and Operations Research (awarded April 27, 2010) Professor Peura specializes in analytics methods for understanding and improving firms' operational decisions . His research spans several interconnected domains including revenue management, sustainable energy generation, and supply chain management. He applies advanced analytical techniques to solve complex business problems, particularly focusing on optimization methods and decision-making under uncertainty. His work bridges theoretical operations research with practical business applications, making significant contributions to both academic knowledge and industry practice. Analysis of his recent publications reveals a consistent focus on operational decision-making with applications across multiple sectors. His work demonstrates strong methodological rigor in optimization techniques while addressing practical business challenges in energy markets, supply chain dynamics, and revenue management systems. There's a clear evolution in his research from foundational work in pricing and optimization toward more complex applications involving sustainability, risk management, and strategic decision-making in competitive environments. Professor Peura has been actively involved in teaching operations and supply chain analytics as well as revenue management courses at Aalto University. At Imperial College, he taught courses including Data Structures and Algorithms, and contributed to various Master's programs in Business Analytics and Financial Engineering. His research has established significant connections with industry applications, particularly in energy markets and platform businesses. Professor Peura maintains an active research agenda with several working papers addressing contemporary challenges in non-profit fundraising, decarbonization pathways, and healthcare financing.

Patrick T. Brandtمشاهده پروفایل

استاد

• Political Dynamics
• Time Series Analysis
• Machine Learning
• +۸ مورد دیگر

Patrick T. Brandt is a Professor of Political Science, Public Policy, and Political Economy at the University of Texas at Dallas , affiliated with the School of Economic, Political and Policy Sciences . His work integrates advanced statistical methods with political science, focusing on time series analysis, machine learning, and Bayesian modeling to study political dynamics. His research spans international relations , political economy , terrorist targeting , and conflict forecasting . He specializes in developing novel models for event count time series, including the Bayesian Poisson Vector Autoregression and MS-BVAR packages for R. His NSF-funded projects focus on event data generation and real-time conflict forecasting. Recent publications emphasize domain-specific language models (ConfliBERT variants), graph neural networks for conflict prediction, and machine translation challenges in political text analysis. He maintains the OpenEvent Data Repository and develops software like MSBVAR and PESTS for academic use. Scientific Awards : Robert H. Durr Award for Best Methodology Paper, Midwest Political Science Association (2006)

• Machine Learning
• Data-Driven Modeling
• Numerical Solutions of Partial Differential Equations
• +۵ مورد دیگر

Kailiang Wu is an Associate Professor at the Department of Mathematics, Southern University of Science and Technology (SUSTech), and holds concurrent roles at the Shenzhen International Center for Mathematics and National Center for Applied Mathematics Shenzhen. His research bridges Machine Learning and Computational Fluid Dynamics , focusing on High-Order Numerical Methods for Hyperbolic Conservation Laws and Relativistic Astrophysics . Education: Ph.D. in Mathematics (Peking University, 2016), B.Sc. in Mathematics and Statistics (Huazhong University of Science and Technology, 2011) His work develops Structure-Preserving Schemes for multidimensional PDEs, including Oscillation-Eliminating Discontinuous Galerkin (OEDG) and Geometric Quasilinearization (GQL) frameworks. These methods ensure positivity , divergence-free , and bound-preservation in simulations of relativistic flows and MHD systems. Recent publications emphasize Deep Learning applications in operator learning (e.g., DUE framework) and Data-Driven Modeling of unknown PDEs. His group has produced 20+ peer-reviewed articles in top journals (Math. Comp., SIAM J. Numer. Anal., JCP) since 2014. Honors: SUSTech President's Research Award (2025) World's Top 2% Scientist (2024) NSFC Major Program (2023, 0.7M CNY) Shenzhen Distinguished Young Scholar (2023, 4M CNY) National Excellent Young Scholar Program (2020, 2M CNY) Zhong Jiaqing Mathematics Award (2019) He advises 10+ graduate students and postdocs, with alumni securing academic positions at Sun Yat-sen University and HKUST. His lab collaborates on relativistic hydrodynamics , traffic models , and uncertainty quantification , supported by competitive funding.

Sebastien Bradleyمشاهده پروفایل

دانشیار

• International Economics
• Public Economics
• Applied Econometrics
• +۷ مورد دیگر

Sebastien Bradley is an Associate Professor in the Department of Economics at LeBow College of Business, Drexel University. His research focuses on international economics, public economics, applied econometrics, and real estate and managerial economics. He has published in top-tier journals such as The Lancet Global Health , American Economic Journal - Economic Policy , and Journal of Accounting and Economics . His research interests include tax policy, international taxation, behavioral responses in markets, and empirical analysis of public policies. Key themes in his work involve IP Box regimes, territorial tax systems, patent activity, airline tax disclosure, and real estate transaction timing. His methodological expertise lies in panel data analysis, gravity models, and econometric evaluation of policy impacts. The recent publications reflect a strong trend in analyzing the economic effects of tax reforms globally, particularly on corporate behavior, innovation, and consumer decision-making. His interdisciplinary work bridges economics, public policy, and business strategy, often using large-scale datasets and causal inference methods. While no scientific awards are mentioned in the provided text, his publication record in high-impact journals indicates significant scholarly recognition. He has collaborated with researchers across institutions and disciplines, contributing to studies on global health aid and international tax competition. Bradley advises on economic policy implications and has been cited in media outlets such as RTE regarding airline fee structures. Although no formal advisees or grant information is listed, his extensive publication record suggests active research leadership. He is based at Gerri C. LeBow Hall, Drexel University, where he contributes to the academic mission of the economics faculty.

Tor Helge Aasمشاهده پروفایل

استاد

• Innovation Management
• Digital Servitization
• Service Innovation
• +۹ مورد دیگر

Tor Helge Aas is a Professor at the Department of Management and Innovation, School of Business and Law, University of Agder, and holds a part-time position as Professor II at Kristiania University College. He is the Director of the Executive MBA program at UiA and actively contributes to research and teaching in innovation management. His affiliations include the Research Centre for Studies of Innovation for Sustainable Transition (RIST) and the ISPIM Scientific Panel. His research interests focus on innovation management , particularly in digital servitization, service innovation, innovation processes, collaboration for innovation, and management control. He examines how organizations in manufacturing and service sectors transition to service-oriented business models through digital platforms and ecosystem collaboration. The recent publications highlight a strong trend in digital servitization , platform-based innovation , and human-technology interaction in Industry 5.0. His work spans business model innovation, legitimacy in smart services, and coopetition in R&D projects, with a consistent focus on organizational transformation and sustainable innovation. Scientific Awards and Recognitions: No explicit awards mentioned in the text. Advising and Grants: He has supervised Master’s and PhD students (implied through academic roles). Actively involved in Horizon 2020 projects: OpenInnoTrain (Work Package Manager) and REDI program. Research funded by EU frameworks, indicating competitive grant acquisition. Labs and Research Teams: Member of RIST – Research Centre for Studies of Innovation for Sustainable Transition . Active in ISPIM (International Society for Professional Innovation Management) Scientific Panel. Collaborates extensively with researchers like Anne-Laure Mention, Katja Maria Hydle, and Karl Joachim Breunig.

Krzysztof Węcelمشاهده پروفایل

استاد

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +۵ مورد دیگر

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.