جست‌وجوی استاد و پژوهشگر

Alexis Stenforsمشاهده پروفایل

دانشیار

• Monetary Policy
• Over-the-Counter (OTC) Markets
• Financial Market Manipulation
• +۳ مورد دیگر

Dr. Alexis Stenfors is an Associate Professor in Economics and Finance at the School of Accounting, Economics and Finance, University of Portsmouth. With a unique blend of academic expertise and 15 years of practical experience as a foreign exchange and interest rate derivatives trader at major banks like HSBC and Citi, he bridges theoretical research with real-world market dynamics. His academic journey includes a PhD in Economics from SOAS University of London, an MSc in Financial Economics, and a CEMS Master’s from the Stockholm School of Economics. Stenfors’ research focuses on deception, unethical practices, and social norms in financial markets, particularly within monetary policy and over-the-counter (OTC) markets. His work examines cross-product manipulation, liquidity dynamics, and the evolution of benchmark rates like LIBOR and TONA. His recent publications analyze inflation decomposition, geopolitical risk impacts on stock markets, and connectedness in fixed-income instruments. He actively engages with media outlets such as the Financial Times and The Guardian, emphasizing the need for financial market reforms. Stenfors supervises PhD students and has taught courses in Behavioural Finance and International Financial Markets. His consulting work spans financial risk, compliance, and ethics, supporting legal cases across Europe and North America.

• Economics of Artificial Intelligence
• Industrial Organization
• Experimental Economics
• +۲ مورد دیگر

Dr. Tobias Werner is an academic economist specializing in human-machine interaction and market dynamics. He holds a Lecturer position (equivalent to Assistant Professor) at the University of Southampton's Department of Economics starting September 2025. Concurrently, he maintains affiliations as an Associated Research Scientist at the Max Planck Institute for Human Development's Center for Humans and Machines and as a Research Affiliate at the Düsseldorf Institute for Competition Economics (DICE). Education includes: Ph.D. in Economics, Heinrich-Heine University Düsseldorf (2023) M.Sc. Economics, University of Bonn (2016-2019) B.Sc. Economics, University of Cologne (2012-2015) His research bridges industrial organization, experimental economics, and AI, with core interests in: Algorithmic collusion and pricing mechanisms Human-AI interaction in economic decision-making Experimental analysis of competition economics Behavioral impacts of remote work structures LLM influence on consumer behavior Recent publications demonstrate a consistent focus on experimental approaches to algorithmic market behavior, with recurring themes of pricing algorithms, remote work dynamics, and human-machine interaction. His work frequently employs controlled experiments to analyze how AI systems influence traditional economic frameworks. Scientific recognition includes: Joachim Herz Stiftung Fellowship for research on LLM-driven consumer behavior He leads research on algorithmic market behaviors at the Center for Humans and Machines and collaborates with Harvard's EconCS group. Current projects include field experiments on human-machine pricing interactions and studies on LLM pollution in behavioral research.

Xinyu Leiمشاهده پروفایل

استادیار

• Distributed Computing
• Mobile Computing
• Data Science
• +۶ مورد دیگر

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU) , where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU) , advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017). University: Michigan Technological University Department: Computer Science Academic Rank: Assistant Professor PhD Institution: Michigan State University His research focuses on distributed computing , mobile systems , data science , and trustworthy machine learning , with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom , IEEE TDSC , and IEEE TIFS , addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems. Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY). Research Grants: NSF CRII: CNS-2153393 ($175K, Sole-PI) Professional Activities: Program Committee: CVPR'24, INFOCOM'24 TPC: BigDataService'20, Workshop Mobicom'19 Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.

Francisco Benekeمشاهده پروفایل

پژوهشگر ارشد

• Competition policy and development
• Innovation policy in developing countries
• Digital markets and economic development
• +۳ مورد دیگر

Dr. Francisco Beneke is a Senior Research Fellow at the Max Planck Institute for Innovation and Competition in Munich, Germany, specializing in Intellectual Property and Competition Law. His research focuses on competition policy and development, innovation policy in developing countries (particularly Latin America), and digital markets in the context of economic development. Dr. Beneke holds a Ph.D. from Ludwig Maximilians University, Munich (2014-2019), an LL.M. from University of California, Berkeley, School of Law (2012-2013), and an LL.B. from Escuela Superior de Economía y Negocios, Santa Tecla, El Salvador (2004-2009). He received the Faculty Prize of the Faculty of Law at LMU Munich in 2019 for his dissertation on market entry and competition law in Latin America. His research interests center on the intersection of competition law, economic development, and innovation policy, with a particular focus on Latin American jurisdictions. Dr. Beneke examines how macroeconomic and social characteristics influence market entry analysis in competition law, investigates the political economy of market power, and analyzes the implications of digital technologies (including AI) for competition policy in developing economies. His work often bridges theoretical frameworks from economics with practical competition law enforcement challenges, particularly examining how corruption, political instability, and education levels affect investment rates and market dynamics. Dr. Beneke's publications demonstrate a clear trajectory from foundational work on Latin American competition law to cutting-edge research on AI's implications for competition policy and the intersection of competition law with environmental policy. His research shows particular attention to how competition law can be adapted to serve development goals in emerging economies while maintaining effective market regulation. Faculty Prize of the Faculty of Law, LMU Munich (2019) Scholarship from the Max Planck Institute for Innovation and Competition (2014-2017) Dr. Beneke actively contributes to the academic community through conference presentations at venues like the ASCOLA Annual Conference and the International Seminar on Competition Law and Development. His work demonstrates strong collaboration with international scholars and institutions, particularly in Latin America. He is a member of Munich's Antitrust Law Forum and has contributed to significant edited volumes on intellectual property and competition law, reflecting his standing in the academic community.

John Askerمشاهده پروفایل

استاد

• Antitrust Policy
• Cartel Behavior
• Auction Design
• +۶ مورد دیگر

John Asker is a Professor of Economics at the University of California, Los Angeles (UCLA), holding the Armen Alchian Chair. He serves as Co-editor of the American Economic Journal: Microeconomics and is a Research Associate at the National Bureau of Economic Research (NBER). His research focuses on antitrust policy, cartel behavior, vertical restraints, merger impacts, auction design, economic productivity, and industry subsidies. Education: Ph.D. in Economics from Harvard University. Research Interests: John’s work addresses core questions in industrial organization, including the effects of market power on environmental outcomes, algorithmic pricing in digital markets, and the competitive implications of mergers. His recent studies explore how artificial intelligence influences pricing strategies, while historical analyses, such as the Canadian Sugar Combination case, shed light on exclusionary practices. He also examines auction mechanisms and patent policies to optimize market design. Professional Roles: His roles at NBER and as a journal editor reflect his leadership in advancing economic research. His articles from 2024 emphasize environmental benefits of market power in oil and AI-driven pricing trends, aligning with broader themes in energy economics and digital competition. Awards & Grants: No specific awards or grants listed in the text. Lab/Team Affiliations: Active in NBER’s research networks and contributes to policy discussions through his editorial work.

• Distribution Channels
• Retailers
• Price Economics
• +۴ مورد دیگر

Yunchuan Liu is an Associate Professor at the Gies College of Business , University of Illinois, affiliated with the Business Administration department. As a Faculty Scholar , their work focuses on distribution channels, supply chain dynamics, and digital marketplace strategies. Research Focus : Distribution Channels, Retail Economics, Anti-counterfeiting Strategies, Supply Chain Management Key Themes : Strategic interactions between manufacturers and retailers, digital platform manipulation, supply-demand dynamics, and remanufacturing channel conflicts Scientific Contributions include: Game-theoretic models for anti-counterfeiting strategies Inventory sharing and demand learning mechanisms Analysis of sponsored advertising manipulation in online marketplaces Scientific Awards : Faculty Scholar at Gies College of Business.

• Employment Law
• Labor Law
• Intellectual Property
• +۷ مورد دیگر

Orly Lobel is the Chaired Professor of Law at the University of San Diego School of Law. Her research focuses on the intersection of law, technology, and labor markets, with particular emphasis on employment law, regulatory governance, and innovation policy. She holds a prominent position at USD Law, where she contributes to legal scholarship through extensive publications and policy engagement. Professor Lobel's research interests span multiple domains including: Behavioral analysis of employment regulations Gig economy and platform labor structures Artificial intelligence governance frameworks Human capital development and intellectual property rights Non-compete agreements and worker mobility Regulatory innovations in technology policy Her scholarly work demonstrates consistent focus on how legal frameworks adapt to technological disruption, particularly examining how labor markets evolve with AI and platform-based work. Recent publications show growing emphasis on algorithmic governance, pay equity mechanisms, and pharmaceutical regulation, reflecting contemporary challenges in tech-driven economies. Professor Lobel actively engages in policy reform through regulatory comments and legislative testimony, particularly advocating for worker protections in non-compete agreements and AI governance frameworks. She maintains collaborative relationships with researchers across disciplines including behavioral economics, technology policy, and health regulation.

Muhammed Ali Bingolمشاهده پروفایل

مدرس ارشد

• Cryptography
• Information Security
• Blockchain & Cryptocurrencies
• +۹ مورد دیگر

Dr. Muhammed Ali Bingol is a Senior Lecturer in Cyber Security and Programme Leader for the BSc in Computer Networks and Security at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. He is affiliated with the Cyber Technology Innovations and Digital Future Institute research groups. Education: Ph.D. in Computer Science and Engineering, Sabanci University, 2019 M.Sc. in Electronics and Communication Engineering, Istanbul Technical University, 2012 B.Sc. in Telecommunications Engineering, Istanbul Technical University, 2008 His research focuses on cryptography , information security , blockchain , secure multi-party computation , private function evaluation , authentication systems , and e-voting . He has contributed significantly to RFID security, distance-bounding protocols, and cryptographic protocol design. His work bridges theoretical cryptography and practical security implementations in wireless, cloud, and mobile environments. His recent publications (2022–2025) span topics from flexible threshold signatures and homomorphic encryption to blockchain-based voting and pedestrian safety analysis , indicating an interdisciplinary reach while maintaining a core in cryptographic protocol development. Trends show increasing focus on blockchain integration, privacy-preserving technologies, and real-world security applications. Scientific Awards and Memberships: Fellowship of the Higher Education Academy (FHEA) Member, Institute of Electrical and Electronics Engineers (IEEE) Cisco Networking Academy (CNA) Dr. Bingol has advised on multiple EU, public, and government cybersecurity projects and has served as a visiting scientist at Université Catholique de Louvain and a visiting lecturer at Istanbul City University. He has held industrial research roles at TÜBİTAK BİLGEM (Chief Researcher, 2008–2020), TSSG, and AOL. He leads curriculum development for undergraduate cybersecurity programs and teaches courses in cryptography, networks, malware analysis, and security management. He is actively involved in the Cyber Technology Innovations research group, where he contributes to advancing secure communication protocols, blockchain applications, and privacy-preserving technologies.

Toomas Hinnosaarمشاهده پروفایل

دانشیار

• Economics
• Game Theory
• Industrial Organization
• +۴ مورد دیگر

Toomas Hinnosaar is an Associate Professor in Economics at the University of Nottingham, holding a PhD from Northwestern University. He specializes in game theory, mechanism design, and behavioral economics, with a focus on strategic interactions, market structures, and digital public goods. His research explores sequential contests, network pricing, and the impact of online information on real-world outcomes. Key findings include the role of transparency in strategic environments and the economic implications of social media dynamics. His work has been featured in major outlets like the Guardian , BBC Radio , and VoxEU . Scientific recognition includes selection for the Journal of the European Economic Association 's Virtual Issue: Editor's Choice Collection (2019). His methodological contributions span randomized field experiments, auction theory, and dynamic pricing models.

Michael Goedickeمشاهده پروفایل

استاد

• Specification of Software Systems
• Software Architecture
• E-Assessment with Task-Specific Feedback
• +۳ مورد دیگر

Prof. Dr. Michael Goedicke is a faculty member at the University of Duisburg-Essen , holding the Professorship for Practical Informatics / Specification of Software Systems since 1994. His academic career spans over three decades with continuous contributions to software engineering and educational technology.

Sasa Zorcمشاهده پروفایل

استادیار

• Decision Sciences
• Game Theory
• Healthcare Systems
• +۶ مورد دیگر

Sasa Zorc is an Assistant Professor in the Data Analytics and Decision Sciences area at the Darden School of Business, University of Virginia. He holds a B.Sc. and M.Sc. from the University of Zagreb, an MBA from Cotrugli Business School Zagreb, and an M.Sc. and Ph.D. in Decision Sciences from INSEAD Singapore. His research focuses on incentives in multi-agent systems , particularly in healthcare and decentralized matching markets. He employs rigorous methodological frameworks including stochastic dynamic games , search theory , mechanism design , and data-driven simulations to analyze complex decision-making environments. Zorc's recent publications address topics like delegated search, exploding offers in matching markets, and antimalarial drug access challenges. His work integrates mathematical modeling with real-world applications to improve policy design and market efficiency. In teaching, he delivers the full-time core course Decision Analysis to first-year students, emphasizing analytical rigor and practical application.

• Corporate Finance
• Investments
• Political Economy
• +۳ مورد دیگر

Jiekun Huang serves as the Richard S. Williams Professor of Finance at the Gies College of Business, University of Illinois at Urbana-Champaign, where his research examines intersections of investments, corporate finance, and political economy with emphasis on economic agent behavior in financial markets and corporate decision-making. His academic credentials include: PhD in Finance, Boston College (2009) MA in Finance, Xiamen University (2003) BEcon in International Finance, Xiamen University (2000) Professor Huang's scholarly focus centers on corporate governance mechanisms , institutional investor behavior , and political economy of finance . His investigations into shareholder voting patterns, lobbying dynamics, and information production reveal how economic agents shape market efficiency and corporate strategy. This research program bridges theoretical finance with real-world policy implications, particularly regarding regulatory frameworks and market structure. Analysis of his 2017-2025 publications shows consistent exploration of governance externalities , geographic information networks , and political connections in financial markets. Recent work increasingly examines environmental factors (e.g., pollution effects on trading) and immigration policy impacts on entrepreneurship, reflecting expanding interdisciplinary scope while maintaining empirical rigor. His academic service includes active contribution to scholarly discourse through publications in premier journals including Review of Financial Studies and Journal of Financial Economics, with findings regularly featured in major media outlets such as The Economist, Wall Street Journal, and Financial Times, demonstrating significant real-world impact.

• Algorithmic Game Theory
• Theory of Computation
• Artificial Intelligence
• +۹ مورد دیگر

Simina Branzei is an Associate Professor of Computer Science at Purdue University, where she joined in Spring 2018. Her research spans multiple areas at the intersection of theoretical computer science, game theory, and economics, with a focus on developing rigorous theoretical frameworks for understanding complex systems. Dr. Branzei's research interests include algorithmic game theory, theory of computation, artificial intelligence, algorithms, learning, computational complexity, and their interfaces with dynamical systems and optimization. Specific topics she has worked on include fair division, markets and auctions, games, learning dynamics, and local search processes. Her research is supported by an NSF CAREER Award, a prestigious grant recognizing early-career faculty who demonstrate exceptional potential for leadership in their field. Analysis of her publication record reveals consistent contributions to understanding computational aspects of economic and social systems. Her work shows particular expertise in computational complexity of fixed point problems, fair allocation mechanisms, market dynamics, and game theoretic models. She has developed novel theoretical frameworks for analyzing cake cutting protocols, market equilibria, and strategic behavior in multi-agent systems. NSF CAREER Award IBM Ph.D. Fellowship Google Anita Borg Memorial Scholarship Dr. Branzei actively mentors graduate students in theoretical computer science, with current Ph.D. student Reed C. Phillips. Her past mentees include Nicholas J. Recker (Ph.D.) and Nithish Kumar (Master's). She has been instrumental in organizing academic workshops including the ACM EC 2024 Mentoring Workshop, Mini-Symposium on Games and Learning at CanaDAM 2023, and Workshop on Fair Division at FOCS 2022, demonstrating leadership in building research communities. She teaches graduate courses including Algorithm Design, Theory of Computation, and Algorithmic Game Theory, as well as undergraduate courses in algorithms and theory of computation, shaping the next generation of computer scientists with strong theoretical foundations.

Hiroshi Nakazatoمشاهده پروفایل

دانشیار

• Antitrust Law
• Economic Criminal Law
• Competition Policy
• +۵ مورد دیگر

Hiroshi Nakazato is Associate Professor of Economic Law at Waseda University Faculty of Law , Tokyo, where he has taught since April 2025 after a 27-year career with the Japan Fair Trade Commission. A leading voice on Japanese antitrust enforcement, he studies the intersection of competition law with labour regulation, digital platforms, and public procurement. Education: LL.B., Waseda University School of Law (1995) LL.M., University of Toronto Faculty of Law (2002) Doctoral coursework completed, Waseda University Graduate School of Law (2020-2024) Research interests span antitrust law, economic criminal law, freelancer-protection policy, cartel & bid-rigging offences, and platform regulation. His recent work explores how competition rules should apply to collective action by freelancers, algorithmic management by gig platforms, and sustainability-oriented cartels in fisheries and energy markets. Publications & media impact: He authors a steady stream of refereed articles, invited commentaries and high-profile press interviews on live antitrust scandals—ranging from the Tokyo-Olympics bid-rigging case to Google advertising restrictions and electricity-sector cartels—shaping both scholarly debate and enforcement practice. Grants & projects: He currently leads four JSPS Grants-in-Aid on (i) digital technology & new regulation, (ii) expanding antitrust enforcement, (iii) labour/competition law interface, and (iv) criminal-law responses to global market misconduct (total ≈ ¥50 m). Public service: Chairs the Chiyoda and Taito Ward bid-monitoring committees, advises the national Freelance League, and serves as secretary of the Japan Economic Law Association, maintaining a unique bridge between academy, government and civil society.

Güvenç Şahinمشاهده پروفایل

استاد

• Operations Research
• Transportation Planning
• Electricity Markets
• +۲ مورد دیگر

Güvenç Şahin is a Professor at Sabanci University specializing in Operations Research with applications in transportation systems and energy markets. His research employs advanced optimization techniques to solve complex real-world problems including public transit planning, electricity market design, and supply chain logistics. Research interests span: Transportation optimization (vehicle routing, crew scheduling) Electricity market competition analysis Multi-period resource allocation Agent-based simulation of market behavior Combinatorial algorithm design Publication analysis reveals consistent focus on mathematical optimization in energy and transportation domains. Recent work (2024-2025) emphasizes algorithmic solutions for market collusion detection and vehicle routing problems, while earlier contributions established foundational work in railway optimization and electricity market simulation. No scientific awards are documented in available sources. His collaborative projects demonstrate active engagement with European research institutions on transportation and energy systems. While no dedicated lab is specified, his research involves optimization modeling teams addressing transportation networks and energy market dynamics, frequently utilizing high-performance computing resources for large-scale simulations.