جست‌وجوی استاد و پژوهشگر

Luis Aguiarمشاهده پروفایل

دانشیار

• Economics of Digitization
• Online Markets
• Digital Media Industries
• +۳ مورد دیگر

Prof. Dr. Luis Aguiar is an Associate Professor in the Department of Business Administration at the University of Zurich, Switzerland, and a DSI Professor at the University’s Digital Society Initiative (DSI). He holds a PhD in Economics from Universidad Carlos III de Madrid and previously served as a Research Fellow at the European Commission’s Joint Research Center. His expertise lies in the economics of digitization, focusing on digital markets, media industries, and the impact of technological change on firms and consumers. Educational Background: PhD in Economics, Universidad Carlos III de Madrid MSc in Economics, Finance and Management, Universitat Pompeu Fabra Bachelor’s in Economics, University of Geneva Research Focus: Luis investigates how digitization transforms consumer behavior and market structures in digital media sectors, with particular attention to online platforms, music streaming, and intellectual property policies. His work employs advanced econometric methods to analyze welfare effects, platform power dynamics, and content distribution trends. Key Contributions: His research has been published in top journals like the Journal of Political Economy and Information Systems Research , and has received significant media coverage from outlets such as The Economist and Forbes . He currently co-edits Information Economics and Policy and leads the Swiss National Science Foundation-funded project on online platforms' power dynamics. Professional Roles: DSI Professor, Digital Society Initiative (UZH) Fellow of the CESifo Research Network Labs & Teams: His research is anchored in UZH’s Department of Business Administration and the DSI, collaborating with interdisciplinary teams to address societal challenges posed by digital transformation.

• Cloud Computing
• Fog Computing
• Edge AI
• +۷ مورد دیگر

Sukhpal Singh Gill is an Assistant Professor (Lecturer) in Cloud Computing at the School of Electronic Engineering and Computer Science, Queen Mary University of London (UK). He holds a PhD, ME, and BE in Computer Science and is a Fellow of the Higher Education Academy (FHEA). His roles include Programme Director for MSc Advanced Computer Science and MSc Business Analytics, as well as Deputy Chair of the Main Misconduct Panel. He leads the GillNet Research Lab and is the Editor-in-Chief of the International Journal of Applied Evolutionary Computation (IJAEC) , with editorial roles in IEEE IoT, Nature Scientific Reports, and other journals. Education: PhD in Computer Science ME in Computer Science BE in Engineering Research Interests: Focus on Cloud Computing, Edge AI, IoT, Energy Efficiency, and Quantum Computing. His work bridges theoretical advancements with practical applications in healthcare, smart cities, and sustainable computing. Notable projects include AI-driven frameworks for carbon-neutral cloud resource management, blockchain-empowered healthcare systems, and quantum cloud computing models. Teaching: Teaches modules such as Cloud Computing (Postgraduate), Fundamentals of Web Technology (Undergraduate), and Semi-structured Data and Advanced Data Modelling (Postgraduate/Undergraduate). He emphasizes inclusive curriculum design and innovative teaching tools like the Q-Module-Bot for AI-supported learning. Awards & Grants: Recipient of 12,500+ citations and an H-index of 54 (Google Scholar). Secured grants for projects on edge AI, federated learning, and sustainable cloud computing. Winner of awards including the IEEE IT Professional Magazine Outstanding Reviewer Award (2024) and Elsevier's Best Paper Award (2023). Labs & Teams: Leads the GillNet Research Lab , focusing on cutting-edge research in cloud-edge computing, AI, and quantum systems. Collaborates with industry partners on projects like HealthEdgeAI and AIoT-driven smart healthcare systems .

Umut Durمشاهده پروفایل

استاد

• Market Design
• School Choice
• Matching Theory
• +۳ مورد دیگر

Umut Dur is the Truist Distinguished Professor of Economics and Director of Graduate Programs at the Department of Economics, North Carolina State University (NC State). He holds a Ph.D. from the University of Texas at Austin (2013) and previously served as a Teaching Assistant at the University of Texas at Austin (2010-2012) and Boğaziçi University (2007-2008). His research focuses on Market Design , School Choice , and Matching Theory , with emphasis on equitable policy implementation in education and labor markets. Dr. Dur has been recognized with Summer Research Awards (2019, 2017) and the Faculty Research Award (2017). His work addresses challenges such as fairness in affirmative action policies, optimization of school assignment mechanisms, and labor market policy design. Notable contributions include analyses of magnet school lotteries, sequential school choice systems, and the impact of reserve policies on educational equity. Dur leads NC State's Economics Graduate Program and contributes to initiatives like the Business Analytics and AI Initiative (BAI) and Supply Chain Resource Cooperative (SCRC) . Key Research Themes: School choice mechanisms, labor policy design, matching algorithms, and policy fairness Awards: Multiple research awards from Poole College of Management Affiliations: Department of Economics, NC State; Graduate Faculty member

Nicolò Cesa-Bianchiمشاهده پروفایل

استاد

• Machine Learning
• Online Learning
• Multi-Armed Bandits
• +۴ مورد دیگر

Nicolò Cesa-Bianchi is a Professor of Computer Science at the University of Milan, Department of Computer Science (Dipartimento di Informatica), and affiliated with the DEIB Department at Politecnico di Milano. His research focuses on foundational aspects of machine learning, particularly online learning, multi-armed bandits, reinforcement learning, and graph analytics. He is an ELLIS Fellow and a corresponding member of the Accademia Nazionale dei Lincei. Research interests include the design and analysis of algorithms for prediction, clustering, and online decision-making, with applications to digital markets, social networks, and bioinformatics. Notable contributions span cooperative online learning, multitask learning, and bandit algorithms. He co-authored the influential book Prediction, Learning, and Games (2006). Professional roles include Board member of ELLIS, co-director of the Milan ELLIS unit, and involvement in EU initiatives like ELSA (Secure & Safe AI) and ELIAS (AI for Sustainability). He teaches graduate courses on statistical methods, machine learning, and reinforcement learning, with a focus on theoretical foundations. Key awards: ELLIS Fellowship (2020), Corresponding Member of the Accademia Nazionale dei Lincei (Italian National Academy of Sciences). His work bridges theory and practice, addressing challenges in adaptive systems, market design, and algorithmic fairness. Current projects explore distributed learning, regret minimization in adversarial environments, and interpretable models.

William Phanمشاهده پروفایل

استادیار

• Market Design
• Game Theory
• School Choice Mechanisms
• +۲ مورد دیگر

Dr. William Phan is an Assistant Professor of Economics in the Department of Economics at North Carolina State University's Poole College of Management. He earned his PhD in Economics from the University of Rochester. His research focuses on theoretical and applied market design, particularly: School choice mechanisms and assignment algorithms Matching theory with applications to education and resource allocation Game theory and incentive design Fair division and representation in allocation systems His recent work examines crowding effects in school choice and representation in reserve systems.

Margarida CARVALHOمشاهده پروفایل

دانشیار

• Algorithmic Game Theory
• Operations Research
• Combinatorial Optimization
• +۴ مورد دیگر

Margarida Carvalho is an Associate Professor in the Department of Computer Science and Operations Research at Université de Montréal. She holds the FRQ–IVADO Research Chair in Data Science for Combinatorial Game Theory and was awarded the 2018 EURO Doctoral Dissertation Award. Her research integrates algorithmic game theory and integer programming to address strategic decision-making challenges in healthcare, urban planning, and sustainability. Education: Bachelor's and Master's in Mathematics PhD in Computer Science (Universidade do Porto, 2016) Postdoctoral Fellow at Polytechnique Montréal (2017) Research Interests: Algorithmic Game Theory and Combinatorial Optimization Applications in Kidney Exchange Programs, EV Infrastructure, and Urban Decision-Making Development of fair and scalable optimization frameworks Awards & Grants: FRQ–IVADO Research Chair (2018–present) Teaching Excellence Award (2024) Lead on projects funded by CRSNG, MITACS, and Fonds de recherche du Québec Lab & Collaborations: Member of CIRRELT, CRM, Mila, and the AI Cybersecurity Lab (talents). Her team focuses on interdisciplinary solutions for complex socio-economic systems.

Steven Lehrerمشاهده پروفایل

استاد

• Economics of Education
• Health Economics
• Causal Inference
• +۴ مورد دیگر

Steven Lehrer is a Professor of Economics at Queen's University, Canada, affiliated with the Faculty of Arts and Science. He holds dual appointments in the Department of Economics and previously taught at NYU-Shanghai and NYU. His research focuses on empirical microeconomics, including the economics of education, health economics, causal inference, and experimental economics. He has held roles such as Research Associate at the National Bureau of Economic Research and Chief Economist at JANYS Analytics. Lehrer's education includes a Ph.D. from the University of Pittsburgh (2001) and a B.A. from McGill University (1996). He has received prestigious awards like the 2013 John Vanderkamp Prize and the 2009 Victor R. Fuchs Award in Health Economics. His research interests span policy evaluation, genetic influences on economic outcomes, and data science applications. Key contributions include studies on universal childcare effects, social media data in forecasting, and the role of molecular genetic data in public policy. Lehrer has supervised over 20 graduate students and secured major grants, including SSHRC Insight Research Grants. His work appears in top journals like Nature Genetics , Review of Economic Studies , and Journal of Labor Economics . Grants: SSHRC Insight (2024-2027, $94k), Shanghai Thousand Talent Grant (750k RMB). Teaching: Econometrics, Health Economics, Causal Inference. Service: Editor of Canadian Journal of Economics, Associate Editor roles at Empirical Economics and Canadian Public Policy .

Heather Shoenbergerمشاهده پروفایل

دانشیار

• Authenticity and Persuasive Communication
• Emerging Technology in Advertising
• Consumer Behavior in Digital Media
• +۴ مورد دیگر

Heather Shoenberger is an Associate Professor at the Bellisario College of Communications, Pennsylvania State University. Her research focuses on authenticity in digital advertising, consumer behavior in response to media, and health communication. She explores how emerging technologies like AR and virtual influencers shape advertising efficacy and consumer trust. Her work also examines political communication dynamics and the psychological impacts of media content, including strategies to counter misinformation and enhance message credibility. Shoenberger’s expertise spans multiple areas: the persuasive role of authenticity in advertising, the ethical dimensions of digital media manipulation, and the intersection of health outcomes with media exposure. She has published extensively in journals like the Journal of Advertising Research and Communication Research , addressing topics ranging from virtual influencer effectiveness to crisis communication during pandemics. Her research often highlights practical implications for creating healthier, more transparent media content. Notable areas include strategies to mitigate green skepticism in sustainability campaigns, the persuasive framing of political messages, and leveraging narrative techniques to enhance message credibility in health and environmental contexts. Awards/Achievements: None explicitly listed in the provided text. Advising/Grants: No advising relationships or grants are detailed in the text. Her work primarily focuses on research and scholarly publications.

Daniele Condorelliمشاهده پروفایل

استاد

• Microeconomic Theory
• Networks and Platforms
• Mechanism Design
• +۳ مورد دیگر

Professor Daniele Condorelli is a faculty member in the Department of Economics at the University of Warwick. His research focuses on Microeconomic Theory, Networks and Platforms, and Mechanism Design. He holds a Professor title and is affiliated with the Department of Economics. His work explores topics such as consumer hold-up in ecosystems, data-driven envelopment, and surplus bounds in Cournot competition. His research interests span strategic models of intermediation networks, auction design, and information economics. Notable publications include studies on vertical mergers in digital ecosystems, privacy-policy impacts on data monetization, and optimal mechanism design for market efficiency. Recent articles highlight his contributions to understanding platform competition, resale networks, and algorithmic game theory. His work often intersects with antitrust policy, digital market governance, and incentive design in networked environments. Professor Condorelli advises students in economics and is involved in academic administration, offering office hours by appointment.

Andrei Kirilenkoمشاهده پروفایل

استاد

• Finance
• Fintech
• Regulatory Technology
• +۳ مورد دیگر

Andrei Kirilenko is Professor of Finance and Founding Director of the Cambridge Centre for Finance, Technology and Regulation (CCFTR) at the University of Cambridge's Judge Business School. His roles include leading research at CCFTR and contributing to the school's focus on institutional financial decision-making. He holds a PhD from the University of Pennsylvania. Previous roles: Chief Economist of US CFTC (2010-2012), 12-year tenure at IMF addressing global financial crises Adjunct appointments: None explicitly stated Research focuses on the intersection of finance, technology, and regulation with emphasis on fintech innovations, digital market design, and regulatory frameworks for automated systems. Current projects include rebuilding Ukraine's financial sector through executive education programs and developing crypto asset recommendation systems. Media engagements highlight his commentary on Ukraine's economic situation and fintech advancements. No specific grants or awards listed in the text. Labs/teams: Leads the CCFTR initiative integrating finance, tech, and regulatory strategies.

• Accounting
• Public Policy
• Carbon Accounting
• +۸ مورد دیگر

Jane Andrew is a Professor and Head of Discipline at the University of Sydney Business School, specializing in Accounting. She joined the University of Sydney in 2010 after holding various academic positions at the University of Wollongong. Andrew serves as co-editor-in-chief for Critical Perspectives on Accounting (since 2018) and is an Associate Editor for Abacus, with editorial board memberships for several prominent accounting journals. Professor Andrew's research explores the relationship between accounting information and public policy, with particular focus on climate change accounting, prison privatisation, and neoliberalism. Her work examines how accounting practices influence policy decisions, particularly in areas traditionally managed by governments, including prisons, immigration detention, and environmental regulation. She has made significant contributions to understanding the role of accounting in processes of neoliberalisation and the privatisation of public services. Her recent publications demonstrate a growing focus on data privacy, surveillance capitalism, and the financialisation of social services. Her work spans critical accounting, political economy, and interdisciplinary research, often collaborating with scholars from law, political science, and criminology. Andrew's research has practical policy implications, as evidenced by her submissions to parliamentary inquiries and engagement with government departments. Professor Andrew actively supervises PhD students and teaches postgraduate courses including ACCT6001 Intermediate Financial Reporting, ACCT6002 International Accounting, and BUSS4001 Business Honours Research Methods. Her supervision spans diverse topics including accountability in microfinance, time budgeting in consulting firms, and the interplay between accounting practices and architectural design. Her scholarly impact extends beyond traditional publication through submissions to public inquiries, policy-relevant research reports, and media articles where she actively engages in evidence-based policy discussions with industry and government partners.

Katharina Grafمشاهده پروفایل

پژوهشگر ارشد

• Cultural Anthropology
• Food Studies
• Gender Studies
• +۱۲ مورد دیگر

Dr. Katharina Graf is a Research Fellow at the Institute of Cultural Anthropology and European Ethnology, Faculty of Linguistics, Cultures and Arts, Goethe University Frankfurt. She leads the DFG-funded ethnographic research project Cyborg Cook – Domestic Cooking in the Digital Age , investigating how digital technologies transform domestic cooking practices, knowledge reproduction, and socio-political negotiations around gender, class, and race in German households. Previously, she was a Postdoctoral Research Fellow at the SOAS Food Studies Centre, University of London, where she conducted research on bread as a measure of urban stability in Morocco, funded by the AXA Research Fund. Her educational background includes a PhD in Social Anthropology from SOAS, University of London (2016), with fieldwork in Marrakech, and a Diplom in Geography from the universities of Tübingen, Bonn, and Cologne, focusing on water supply in rural Morocco. Katharina Graf’s research lies at the intersection of cultural anthropology, food studies, gender, urban life, and science and technology studies. She explores how everyday practices—especially cooking—reflect and shape broader social, political, and technological transformations. Her work emphasizes the entanglement of material culture, digitalization, and human agency, particularly in domestic spaces. She investigates how food serves as a lens for understanding political legitimacy, social change, and human-machine relations. Her recent publications and blog posts from the Cyborg Cook project reveal a strong trend toward understanding digital domesticity through ethnographic, sensory, and feminist lenses. Themes include the role of mothers as technological pioneers, the disruption of routines by smart devices, and the multisensory experience of digital cooking practices. Her earlier work on bread in Morocco highlights how food security and culinary practices are deeply tied to political stability and state-society relations. Postdoctoral Fellowship, AXA Research Fund Principal Investigator, DFG-funded 'Cyborg Cook' project Dr. Graf has supervised undergraduate and postgraduate students at SOAS and Goethe University. While no specific grants beyond DFG and AXA are named, her role as principal investigator indicates leadership in competitive research funding. She is actively involved in academic service, including as associate book reviews editor for the FoodAnthropology Blog (Society for the Anthropology of Food and Nutrition) and former co-convenor of the Anthropology of Food Network at EASA. She disseminates research through innovative public formats such as photo exhibitions, cookery classes, and comedy clubs, reflecting a commitment to engaged scholarship. She is affiliated with the Cyborg Cook research team at Goethe University, an interdisciplinary group using ethnographic methods to study digital kitchen technologies. The project emphasizes collaborative, sensory, and participatory research approaches, often involving co-creation with participants through shared meals and observational cooking sessions.

• Power System Analysis, Operation and Planning
• Power System Economics
• Electricity Markets
• +۱۶ مورد دیگر

Ivana Kockar is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. She is affiliated with the Institute for Energy and Environment and leads research on the integration of Distributed Energy Resources (DERs) into power systems, focusing on optimization, market design, and policy analysis. PhD, McGill University, 2004 Her research interests include active network management, TSO-DSO coordination, agent-based modeling, Multi-Criteria Decision Analysis (MCDA), and virtual power plants. She develops tools to support the transition to low-carbon power systems and improve grid flexibility through demand participation and energy storage. The recent publications highlight a strong trend in analyzing DSO risk, flexibility markets, and human behavior in energy planning. Her work increasingly integrates socio-technical dimensions, examining how corporate and individual behaviors impact grid operations. There is also a consistent focus on business models for virtual power plants and the economic impacts of forecasting accuracy, indicating a blend of technical and market-oriented research. Outstanding Engineer Award, 2024 Best Innovation Project, December 2015 Special Issue inclusion, International Journal of Electrical Power and Energy Systems, 2008 She has supervised multiple PhD and MSc students and is Principal Investigator on several major research projects, including EPSRC-funded doctoral training and industrial knowledge exchange initiatives. Her work is supported by grants from EPSRC, Ofgem, and energy companies such as SSEN and Scottish Power. She actively collaborates with Management Science colleagues and contributes to policy development. She leads a research team at the Institute for Energy and Environment, working closely with industry partners and international research consortia such as the EU Horizon 2020 SmartNet project. Her team applies advanced computational methods, including high-performance computing and agent-based simulations, to real-world energy challenges.

Yicheng Songمشاهده پروفایل

استادیار

• Personalized Recommender Systems
• Digital Consumer Analytics
• Charity Analytics
• +۳ مورد دیگر

Yicheng Song serves as an Assistant Professor in the Department of Information & Decision Sciences at the Carlson School of Management, University of Minnesota. His research develops personalization technologies using machine learning and structural economic models to enhance user satisfaction and business revenue through data-driven solutions. His educational background includes: PhD in Business (2017), Questrom School of Business, Boston University PhD in Computer Science (2012), Institute of Computing Technology, Chinese Academy of Sciences BA in Computer Science (2006), Wuhan University Dr. Song's research specializes in Personalized Recommender Systems, Digital Consumer Analytics, and Charity Analytics. He develops advanced machine learning frameworks to address information overload in digital platforms, with applications spanning e-commerce, customer journey optimization, and nonprofit donation systems. His work uniquely bridges technical innovation in AI with practical business impact through structural economic modeling. Analysis of his publication trajectory (2011-2024) reveals consistent focus on personalization algorithms, evolving from multimedia geolocation to reinforcement learning for customer interventions. Recent work emphasizes explainable AI in donor matching systems and multi-category utility modeling, demonstrating increasing sophistication in handling complex consumer behavior data across digital and charitable contexts. His research excellence has been recognized with prestigious awards: Best Paper Award at INFORMS CIST 2018 Best Paper Award at WITS 2014 Runner-up for Best Paper Award at INFORMS CIST 2023 While specific grant details and student advising records aren't publicly listed, his publications indicate active collaboration with researchers in marketing, operations, and computer science. The absence of laboratory information suggests integration within the Carlson School's existing research infrastructure rather than standalone facilities.

Noah Gansمشاهده پروفایل

استاد

• Service Operations
• Stochastic Processes
• Queueing Systems
• +۳ مورد دیگر

Noah Gans is the Anheuser-Busch Professor of Management Science at the Wharton School of the University of Pennsylvania, where he serves as Professor in the Operations, Information and Decisions department. His research focuses on service operations with particular emphasis on call center management, stochastic processes, and queueing system control. Department Editor, Stochastic Models and Simulation at Management Science President of Manufacturing and Service Operations Management Society (MSOM) PhD Program Coordinator for the OID Department His academic work spans diverse domains including healthcare technology pricing, container inspection security, workforce optimization, and revenue management. He has pioneered adaptive clinical trial designs and developed novel models for customer demand sensitivity in overbooking scenarios. Key research areas include: Bayesian sequential learning for multi-arm clinical trials Value-based pricing under uncertainty Stochastic control in service systems Security policy analysis for global supply chains Risk-sharing mechanisms in healthcare Scientific honors include NSF CAREER Award (1998), INFORMS George E. Nicholson Prize (1995), and multiple teaching awards from the Wharton MBA program (2004, 2010-2011, 1997-2001). His publications bridge theoretical operations research with practical implementation across healthcare, transportation, and service industries.