جست‌وجوی استاد و پژوهشگر

• Operations Research
• Healthcare Management
• Competition Law
• +۳ مورد دیگر

Amanda Eklund is a Doctoral Researcher at Aalto University's School of Business, Department of Industrial Engineering and Management. Her work spans healthcare systems, military logistics, and competition law domains. Awarded Yrjö and Senja Koivunen Foundation grant Recognized in Aalto University School of Business Dean's List (2023) Research interests focus on operational efficiency in public healthcare, algorithmic market behaviors, and military logistics optimization. Current projects include analyzing emergency department mergers, satellite navigation applications in defense, and patient pathway utilization. Publications: 8 recent works (2023-2025) across multidisciplinary venues Collaborative approach evident through 7 co-authored papers with military and healthcare experts Key themes: system integration, operational research, and regulatory frameworks Scientific awards include foundational grant support and academic recognition. Active in cross-sector collaborations combining engineering and management principles for public sector challenges.

Erik Madsenمشاهده پروفایل

دانشیار

• Incentive Contracting
• Dynamic Games
• Industrial Organization

Erik Madsen serves as Associate Professor in the Department of Economics at New York University's Faculty of Arts and Science, where his research bridges theoretical microeconomics with practical applications in strategic decision-making environments. His academic profile demonstrates sustained contributions to economic theory through rigorous modeling of incentive structures and strategic interactions. Madsen's research program centers on incentive contracting mechanisms, dynamic game-theoretic frameworks, and industrial organization theory. His work examines how agents navigate complex strategic landscapes involving trust dynamics, business-stealing behaviors, and autonomous decision-making under imperfect information. Key contributions include modeling tariff impacts on state capacity, designing reward schemes for self-directed workers, and analyzing collective action problems in resource maintenance—showcasing his ability to connect abstract game theory with tangible economic phenomena across labor, public, and industrial sectors. Analysis of his publication trajectory (2011-2025) reveals an evolving focus from foundational game theory toward increasingly applied contexts involving digital labor markets, data-driven incentives, and institutional design. Recent work demonstrates sophisticated integration of behavioral insights with traditional contract theory, particularly in autonomous work settings and collective maintenance scenarios. His research consistently employs dynamic game frameworks to address questions of trust erosion, strategic investment, and competitive dynamics, maintaining strong theoretical rigor while expanding into contemporary economic challenges like algorithmic management and digital platform governance.

• Competition Law
• Accounting
• Corporate Governance
• +۳ مورد دیگر

Petri Kuoppamäki serves as a Professor in the Department of Accounting at Aalto University School of Business, where he maintains an active research profile bridging legal scholarship and economic analysis. His work critically examines competition law frameworks within Finnish and EU contexts, with growing emphasis on digital market dynamics and geopolitical influences on regulatory enforcement. Research interests prioritize Competition Law , Corporate Governance , and EU Competition Policy , extending into algorithmic collusion, state-led anti-competitive practices, and public procurement integrity. His interdisciplinary methodology integrates legal doctrine with economic theory to address emerging challenges in market regulation, particularly regarding AI-driven pricing systems and cross-border merger analysis in the digital economy. Publication trends since 2020 reveal escalating focus on technological disruption in competition law, with 70% of recent works addressing algorithmic collusion, digital market regulation, or geopolitical dimensions of EU policy. Key thematic clusters include state involvement in cartels (2025), judicial review mechanisms (2024), and the intersection of trade policy with competition enforcement (2023). Major recognitions include: Full membership in the Finnish Academy of Science and Letters (2016) Aalto University Researcher of the Year (2015) and Teacher of the Year (2014) HSE Foundation Prize for top-journal publication (2017) Competition Lawyer of the Year in Europe (2008) Best Paper Award at Bocconi Corporate Governance Workshop (2016) Listing in Whos Who in Finland (2009-2015) While the provided materials omit specific details about doctoral advising or grant funding, Kuoppamäki's extensive publication record in authoritative venues like the Elgar Encyclopedia of Competition Law and Judicial Review collections demonstrates sustained scholarly impact. His role as dissertation opponent for doctoral candidates (e.g., Henriksson, 2023) indicates active participation in academic evaluation processes.

• Competition Economics
• Antitrust Law
• Sustainable Finance
• +۳ مورد دیگر

Prof. Dr. Roman Inderst holds the Chair of Finance and Economics at Goethe University Frankfurt's Department of Business and Economics. His research bridges competition economics, antitrust frameworks, and sustainable finance, with emphasis on consumer behavior, industrial organization, and policy design. Recent work critically examines the intersection of environmental goals and market regulation. Inderst's research explores: Antitrust law adaptations for sustainability agreements Empirical analysis of consumer behavior during economic shocks Strategic implications of CSR in competitive markets Pricing mechanisms and brand equity dynamics His publications demonstrate consistent focus on integrating sustainability into competition policy and quantifying consumer welfare effects. No awards, grants, or supervised students are mentioned in available materials. Institutional affiliations center on Goethe University without reference to labs or external teams.

Thomas Fetzerمشاهده پروفایل

استاد

• Public Law
• Regulatory Law
• Tax Law
• +۶ مورد دیگر

Professor Thomas Fetzer serves as President of the University of Mannheim and holds the Chair of Public Law, Regulatory Law and Tax Law since 2012. He concurrently serves as an adjunct professor at the University of Pennsylvania's Center for Technology, Innovation and Competition and previously held judicial office at Baden-Württemberg's administrative court (2020-2021) and served as the university's Vice-President for Strategic Planning (2021-2022). His educational background includes: Law studies at University of Mannheim and Vanderbilt University Habilitation at University of Mannheim (2009) on state competition in dynamic markets Fetzer's research critically examines regulatory frameworks through dual lenses of digital market evolution and political economy. His work on algorithmic collusion and telecommunications regulation confronts AI-driven market distortions, while his scholarship on nationalism in political economy deconstructs ideological intersections with economic systems. This interdisciplinary approach bridges legal theory with real-world regulatory challenges in rapidly evolving digital landscapes. Analysis of his recent publications reveals three dominant trajectories: (1) Technical regulatory mechanisms in telecommunications (40% of works), (2) Algorithmic market behavior and antitrust enforcement (30%), and (3) Nationalism's economic manifestations (30%). His German-language commentaries on the Telecommunications Act demonstrate deep engagement with EU regulatory harmonization. No scientific awards are documented in the provided materials. While specific advising roles remain unreported, his leadership positions indicate extensive institutional mentorship. His judicial experience and strategic planning portfolio suggest significant grant oversight responsibilities, particularly in digital infrastructure initiatives like Germany's RaGiga project. The absence of explicit lab affiliations contrasts with his focus on regulatory implementation frameworks.

Aditi Raghunathanمشاهده پروفایل

استادیار

• Machine Learning
• AI Safety
• Reliability of Large Language Models
• +۷ مورد دیگر

Aditi Raghunathan is an Assistant Professor in the Computer Science Department at Carnegie Mellon University , with affiliations to the Machine Learning Department . She holds a PhD from Stanford University (2021) , advised by Percy Liang , and a B.Tech in Computer Science from IIT Madras (2016) . Her research focuses on advancing the scientific understanding of frontier models , addressing their reliability, safety, and unlearning challenges. Education PhD, Stanford University (2021) B.Tech, IIT Madras (2016) Research Themes Overtraining effects in LLMs Memorization sinks for unlearning Algorithmic creativity beyond next-token prediction Scalable frameworks for AI safety Her work at ICML 2025 revealed critical limitations in LLM pre-training, including catastrophic overtraining and imperfect unlearning due to entangled memorization-generalization circuits. She has developed seed-conditioning and multi-token learning to enhance structured diversity and creativity in models. Scientific Recognition includes: NSF CAREER Award Arthur Samuel Best Thesis Award at Stanford Google Research Scholar Forbes 30 Under 30 in Science She supervises PhD and Master’s students such as Jacob Mitchell Springer , Christina Baek , and Taeyoun Kim , and actively collaborates with CMU graduate students. Her teaching includes courses on Trustworthy AI and Graduate Artificial Intelligence .

Mitsuru Igamiمشاهده پروفایل

دانشیار

• Industrial Organization
• Economics of Innovation
• International Trade
• +۶ مورد دیگر

Mitsuru Igami is an Associate Professor of Economics at the University of Toronto. His research focuses on industrial organization, economics of innovation, and international trade. He holds a Ph.D. in Global Economics and Management from UCLA Anderson School of Management, along with multiple advanced degrees in Economics from UCLA and the University of Tokyo. Education: Ph.D., Global Economics and Management, UCLA Anderson School of Management M.A., Economics, UCLA (June 2009) M.A., Economics, University of Tokyo B.A., Latin American Area Studies, University of Tokyo His research explores topics such as patent statistics as innovation indicators, creative destruction in technology industries, and the dynamics of offshoring. Notable projects include analyzing LCD panel innovation welfare effects and detecting Edgeworth cycles in commodity markets. Igami’s work frequently employs structural estimation methods, as seen in his analysis of AI-driven strategic games like AlphaGo. His articles consistently bridge theoretical frameworks with empirical analysis of real-world industries, including hard disk drives, pharmaceutical cartels, and coffee trade. This interdisciplinary approach highlights his expertise in linking microeconomic theory to practical policy implications. No scientific awards are explicitly listed. His advising and grant activities are not detailed in the provided text, though his extensive publication record suggests active research leadership. No specific lab affiliations are mentioned, though his work likely involves collaboration with computational economics and industrial analysis teams.

Wenjie Xiongمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware Security
• Side-Channel Attacks
• +۵ مورد دیگر

Wenjie Xiong is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He leads the BEARHW (Building Efficient and Resilient Hardware) lab focused on hardware security, leveraging hardware features to enhance system security and mitigate vulnerabilities. His research spans secure architectures, side-channel attacks, cryptographic co-design, and PUF-based security solutions. Xiong holds a Ph.D. from Yale University (2020) and has received notable awards including the 2024 Dean's Award for Outstanding New Assistant Professor. He has published extensively in top venues like ASPLOS, HPCA, and IEEE Transactions on Computers. Research Interests: Hardware Security & Privacy Computer Architecture Side-Channel Attacks & Mitigations PUF-Based Authentication Federated Learning Privacy Transient Execution Defense Grants & Awards: Dean's Award 2024 (Virginia Tech) Featured Paper in IEEE TC (2021) Best Student Paper Finalist (HOST 2017) Microsoft Research Fellowship (2015) Lab: BEARHW Lab focuses on secure hardware design, PUF implementations, and efficient security co-design. Current openings for postdocs/PhD students in hardware security.

• Behavioral Economics
• Industrial Organization
• Digital Economics
• +۳ مورد دیگر

Jana Gieselmann is a Doctoral Researcher at the Düsseldorf Institute for Competition Economics (DICE), Heinrich Heine University Düsseldorf. She is part of the DFG Research Unit on 'Consumer Preferences, Consumer Mistakes, and Firms’ Response' and was a Visiting Research Assistant at Yale University (2022–2023). Her academic background includes a B.Sc. and M.Sc. in Economics from Heinrich Heine University, with a semester abroad at Waseda University in Tokyo. Her research focuses on behavioral economics, industrial organization, and digital economics, particularly examining issues in platform markets, two-sided markets, and collusion dynamics. Key projects include analyzing platform monopolies' incentive distortions in matching algorithms and fake profile strategies to manipulate perceived network sizes. She has also studied strategic collusion in vertically related markets and quality uncertainty in competitive settings. Jana holds teaching experience as a tutor at DICE and has interned at the German Federal Cartel Office (Monopolies Commission). She will join the University of Edinburgh as an Assistant Professor (Lecturer) in 2025. Her work bridges theoretical economic frameworks with applied analysis of modern digital market challenges.

Steve Tadelisمشاهده پروفایل

استاد

• E-commerce
• Contracts and Procurement
• Economics of Organization
• +۳ مورد دیگر

Steve Tadelis is a Professor of Economics, Business, and Public Policy at the Haas School of Business, University of California, Berkeley, holding the Sarin Chair in Strategy and Leadership. His work bridges e-commerce economics, organizational theory, and game theory. He has led research teams at eBay (2011-2013) and Amazon (2016-2017), focusing on market design, pricing strategies, and consumer behavior in digital platforms. Research interests include: E-commerce dynamics, including fee structures, trust mechanisms, and platform governance Game theory applications to negotiations and bargaining Contract design, procurement mechanisms, and organizational incentives Consumer behavior in online markets, including search, price sensitivity, and search advertising Notable contributions include: Field experiments on ticket pricing (StubHub), revealing how pricing transparency affects consumer spending Studies on feedback systems showing how reputation mechanisms impact market efficiency Analysis of government procurement strategies and adaptation costs in incomplete contracts Textbook Game Theory: An Introduction (Princeton University Press) Key projects include the Oliver Williamson Seminar Series , exploring institutional economics and transaction cost frameworks. His work often combines theoretical models with large-scale empirical analysis, leveraging big data from platforms like eBay and StubHub.

Sujoy Sikdarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computational Social Choice
• Mechanism Design
• +۴ مورد دیگر

Sujoy Sikdar is an Assistant Professor in the Department of Computer Science at Binghamton University, affiliated with the Thomas J. Watson College of Engineering and Applied Science. He joined the university in 2020 after completing his PhD and MS in Computer Science at Rensselaer Polytechnic Institute (RPI), advised by Professors Lirong Xia and Sibel Adalı. His research spans artificial intelligence, computational social choice, mechanism design, and algorithmic decision-making, particularly in fair resource allocation and voting systems. Education: Bachelor of Engineering in Information Technology, Manipal Institute of Technology (2009) Master of Science in Computer Science, Rensselaer Polytechnic Institute (2015) Doctor of Philosophy in Computer Science, Rensselaer Polytechnic Institute (2018) Research Interests: Sikdar focuses on interdisciplinary topics at the intersection of computer science and microeconomics, including fair division algorithms, computational social choice, and AI for social good. His work emphasizes algorithmic fairness, strategyproof mechanisms, and applications in education and cybersecurity. Publications: His recent work includes studies on envy-free allocations, anti-collusion testing methods, and equitable resource distribution. These contributions highlight his expertise in bridging theoretical computer science with practical societal challenges. Awards: He received the Best Paper Award at SocialCom2013 for foundational work in social computing and information credibility. Teaching: He teaches courses such as Introduction to Machine Learning, Data Mining, and Design and Analysis of Algorithms, reflecting his commitment to both research and education. Labs/Teams: While specific lab affiliations are not detailed, his research group likely focuses on computational social choice and fair algorithms, as evidenced by his publication record.

Yannai A. Gonczarowskiمشاهده پروفایل

استادیار

• Economic Theory
• Theoretical Computer Science
• Algorithmic Game Theory
• +۳ مورد دیگر

Yannai A. Gonczarowski is an Assistant Professor of Economics and Computer Science at Harvard University, affiliated with the Harvard Center of Mathematical Sciences and Applications. His research explores computer-science-inspired economics, leveraging computational methods to derive economic insights. He holds PhDs from the Hebrew University of Jerusalem and extensive postdoctoral experience at Microsoft Research. Key contributions include work on market design, algorithmic game theory, and mechanism design. Education: PhD in Mathematics and Computer Science, Hebrew University of Jerusalem (Einstein Institute, Rachel and Selim Benin School) M.Sc. in Mathematics, Hebrew University of Jerusalem B.Sc. in Mathematics and Computer Science, Hebrew University of Jerusalem Bachelor's and Master's in Classical Singing, Jerusalem Academy of Music and Dance His research interests focus on the intersection of economics and computer science, emphasizing algorithmic mechanisms and market design. Notable awards include the ACM SIGecom Doctoral Dissertation Award (2018) and the Michael B. Maschler Prize (2018). He advises PhD students in Economics, Computer Science, and Applied Mathematics, co-organizes conferences like EC and Stony Brook's Game Theory Conference, and serves on numerous program committees. His work bridges theoretical foundations with real-world applications, such as matching markets and auction design. Awards: ACM SIGecom Doctoral Dissertation Award (2018) Michael B. Maschler Prize (2018) INFORMS AMD Michael H. Rothkopf Junior Researcher Paper Prize (2020) As an educator, he teaches at Harvard and co-authored Mathematical Logic through Python . His interdisciplinary approach integrates music and computational theory, reflecting his diverse academic background.

Michael Schlechtingerمشاهده پروفایل

پژوهشگر

• Multi-Agent Reinforcement Learning
• Agent-Based Modeling
• Time Series Analysis
• +۳ مورد دیگر

Dr. Michael Schlechtinger is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on multi-agent systems, reinforcement learning, and AI ethics with applications in market dynamics and competition law compliance. He holds a PhD in Computer Science from the University of Mannheim (2024), where his dissertation explored collusion detection in AI-driven pricing systems. His research interests include agent-based modeling, time series analysis, and algorithmic pricing strategies. Recent work examines how AI agents in simulated markets develop collusive behaviors, with implications for antitrust regulations. He has published in top conferences like IJCAI and AAMAS, addressing topics such as collusion quantification and ethical AI design. Key projects include the 'Kartellrechtskonforme KI (KarekoKI)' initiative aiming to detect and prevent price-fixing via AI systems. His interdisciplinary approach bridges computer science, economics, and law, with past studies in virtual reality applications and team leadership dynamics.

Lia van Wesenbeeckمشاهده پروفایل

دانشیار

• Development Economics
• Water-Energy-Food Nexus Modelling
• Climate Change Adaptation
• +۴ مورد دیگر

Lia van Wesenbeeck is an Associate Professor of Development Economics at Vrije Universiteit Amsterdam's School of Business and Economics, and Director of the Amsterdam Centre for World Food Studies. She holds a PhD from Vrije Universiteit Amsterdam (2000) and previously served as senior researcher at SOW-VU. Her expertise spans general equilibrium theory, water-energy-food nexus modelling, and spatial statistical analysis of vulnerable groups. Research focuses on climate change impacts, food security policy, and sustainable urban agriculture, with leadership in the EU-funded Feed4Food project (2024-2026). She has supervised over 35 bachelor/master students and multiple PhD candidates, and advises Dutch ministries on food security. Key roles include Scientific Subcommittee membership at South Africa's Food Security Centre and advisory roles in Ghana-Netherlands WASH programs. Recent research explores adaptation strategies among Ethiopian farmers, diarrheal disease in Pakistan, and collusive bidding in online auctions. Projects emphasize interdisciplinary approaches linking economics, environmental science, and policy design. Labs/Teams: Leads the Amsterdam Centre for World Food Studies coordinating global food security initiatives. Engages in international collaborations across Africa, Caribbean, and China's Beijing-Tianjin-Hebei region.

Éva Tardosمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Algorithm Design
• Applied Mathematics
• +۳ مورد دیگر

Éva Tardos is the Jacob Gould Schurman Professor at Cornell University, affiliated with the Department of Mathematics and multiple colleges including the Cornell Ann S. Bowers College of Computing and Information Science, College of Arts and Sciences, and College of Engineering. Her research focuses on algorithm design, particularly in algorithmic game theory, networks, and combinatorial optimization. She explores mechanisms for selfish users, network efficiency, and distributed systems. Her work bridges theoretical computer science and economics, addressing challenges like congestion games, mechanism design, and social network influence. Key contributions include analyzing selfish routing's inefficiency, bounding equilibrium inefficiencies, and designing approximation algorithms for facility location and network design problems. Tardos collaborates extensively with top researchers in computer science and mathematics, contributing foundational insights into modern algorithmic theory. Research interests include algorithmic game theory , network optimization , mechanism design , and approximation algorithms . Recent publications emphasize social network dynamics, collusion effects in congestion games, and fair resource allocation strategies. Her work has practical applications in traffic routing, telecommunications, and distributed computing systems. While no specific awards are listed, her sustained contributions to theoretical computer science have established her as a leading figure in the field. Advising and mentoring are integral to her role, though specific advisee names are not documented here. She is actively involved in Cornell’s academic and research initiatives across multiple interdisciplinary domains.