Find Academic Supervisors

Kathryn M. DominguezView profile

Professor

• International financial markets
• Macroeconomics
• Foreign exchange rate behavior
• +2 more

Kathryn M. Dominguez is a Professor of Public Policy and Economics at the University of Michigan's Gerald R. Ford School of Public Policy, where she also serves as Associate Dean for Academic Affairs. She maintains a dual affiliation with the Department of Economics as director of the honors program. Her educational background includes: PhD in Economics from Yale University (1987) AB from Vassar College (1982) Dominguez's research focuses on international financial markets and macroeconomics, with particular expertise in foreign exchange rate behavior. Her work examines global financial systems, exchange rate interventions, and monetary policy across borders. She has authored influential works including 'Exchange Rate Efficiency and the Behavior of International Asset Markets' and 'Does Foreign Exchange Intervention Work?' (co-authored with Jeff Frankel). Her recent publications reveal a strong emphasis on understanding financial crises, particularly the Great Recession and pandemic-era challenges, with attention to policy responses and international ramifications. Her research demonstrates consistent engagement with central banking policies, exchange rate dynamics, and international financial stability. Professional affiliations: Research Associate, National Bureau of Economic Research Member, Panel of Economic Advisers at the Congressional Budget Office Member, Advisory Scientific Committee of the European Systemic Risk Board Dominguez has advised major institutions including USAID, the Federal Reserve, IMF, World Bank, and Bank for International Settlements. She previously taught at the Kennedy School, Woodrow Wilson School, London School of Economics, and UC Berkeley's Goldman School. At Michigan, she teaches macroeconomics, finance, and international economics courses including Global Financial Markets, Crises, and Policy, and Macroeconomics.

• Artificial Intelligence
• Marketing Analytics
• Digital Marketing
• +4 more

Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.

Qizhen ZhangView profile

Professor

• Hyperscale Data Processing
• Cloud Computing
• Network-Centric System Design
• +4 more

Qizhen Zhang is a Professor in the Department of Computer Science at the University of Toronto's Faculty of Arts and Science. Specializing in hyperscale data processing systems, Zhang leads research at the intersection of cloud computing, distributed systems, and data center networking. Recent work focuses on network-centric designs for efficient large-scale data processing, including pioneering contributions to disaggregated data center architectures. Research interests center on hyperscale data processing , network-aware system design , and disaggregated infrastructure . Current projects investigate DPU-accelerated systems (dpBento, DPDPU), memory disaggregation (Cowbird, Redy), and blockchain scalability (FlexChain). Zhang's approach systematically integrates network characteristics into distributed system optimization, addressing challenges in trillion-item workloads through novel shuffle layers (TeShu) and compute pushdown mechanisms (TELEPORT). Zhang advises multiple graduate students working on satellite networking (SaTE), federated learning, and DPU-optimized storage (DDS). Professional service includes program committees for SIGMOD, VLDB, NSDI, and EuroSys (2023-2026), plus journal reviews for ACM TODS and IEEE/ACM Transactions on Networking. Industrial collaborations with Microsoft Research have yielded production-oriented systems like Redy and CompuCache. Key contributions include MimicNet for scalable network simulation (SIGCOMM 2021), GraphRex for network-aware graph processing (SIGMOD 2019), and foundational work on disaggregated data centers (CIDR 2020, VLDB 2020). Teaching responsibilities encompass graduate courses CSC2235 (Cloud-native Data Management) and undergraduate CSCC43 (Databases) at the University of Toronto.

Federica De StefanoView profile

Associate Professor

• Strategic Human Capital
• Employee Mobility
• Career Development
• +3 more

Federica De Stefano is an Associate Professor of Organisation Studies at Saïd Business School, University of Oxford, and a Research Fellow of Green Templeton College. She serves on editorial boards for Organization Science , Human Resource Management , and Human Resource Management Review , while holding roles in the Strategic Management Society (SMS). Previously, she was an Assistant Professor at HEC Paris and a Post-Doctoral Fellow at Wharton People Analytics. She earned a PhD from Bocconi University, with additional degrees from Fudan University and Bocconi. Her research focuses on people management's impact on organizational and individual outcomes, including employee mobility, workplace safety, and social sustainability. Using quantitative methods and large datasets, her work has been published in top journals like Academy of Management Journal and Strategic Management Journal . She has received the Marie Curie Individual Fellowship and recognition as a top 40-under-40 MBA professor. Teaching focuses on people analytics and management, with a 2023 completion of the International Teachers Program (ITP). Her research grants and collaborative work at Wharton People Analytics underscore her commitment to advancing strategic human capital practices. Federica's work bridges academic rigor with real-world organizational challenges, emphasizing ethical and sustainable workforce strategies.

Dennis HerhausenView profile

Professor

• Digital Communication
• Customer Journeys and Experience
• Multichannel Management
• +7 more

Prof. Dr. Dennis Herhausen is a Full Professor of Marketing and Head of the Marketing Department at Vrije Universiteit Amsterdam’s School of Business and Economics. Previously, he held positions as Associate Professor at KEDGE Business School, Visiting Professor at the University of St. Gallen, and Assistant Professor at the University of St. Gallen. His research focuses on digital communication, customer journeys, multichannel management, and social media strategies, with publications in top-tier journals like the Journal of Marketing and Journal of Marketing Research. His work addresses critical issues such as online firestorm mitigation, complaint de-escalation, and gig economy communication. He has been awarded multiple prestigious prizes, including the 2021 CBSIG Consumer Research Award and the 2019 William R. Davidson Award. Education: PhD in Marketing from University of St. Gallen (2011) Teaching: Courses on Customer Experience Management, Survey Research Methods, and Thesis Guidance Research Interests: His work explores digital marketing strategies, customer-centric innovations, and the dynamics of online platforms. Recent studies address topics like business-to-investor marketing signals, privacy orientation measurement, and machine learning biases in marketing. He actively contributes to editorial boards of journals including Journal of Marketing and Journal of Interactive Marketing. Awards: 2021 CBSIG Consumer Research in Practice Award 2021 Retail & Pricing SIG Best Paper Award 2021 SERVSIG Best Services Article Award 2020 William R. Davidson Award Grants & Editorial Work: His research has been funded by national/international grants, and he serves on multiple editorial boards. Notable datasets include studies on online retailer strategies and virtual brand sabotage responses.

Francis J. FlynnView profile

Professor

• Organizational Behavior
• Leadership Development
• Employee Cooperation
• +3 more

Francis J. Flynn, known as Frank, is the Paul E. Holden Professor of Organizational Behavior at Stanford Graduate School of Business (GSB). He holds a PhD from UC Berkeley and joined Stanford in 2006 after roles at Columbia Business School. His academic focus revolves around leadership, employee cooperation, and mitigating workplace stereotypes. A renowned teacher, he employs the 'Three E’s' method: Engagement, Evidence, and Examples, emphasizing hands-on learning and real-world application. Education : PhD in Organizational Behavior, UC Berkeley (2000) MS in Business, UC Berkeley (1999) BBA, University of Notre Dame (1994) Research Interests : Frank explores why good intentions fail to produce desired outcomes in organizations, focusing on psychological barriers to cooperation. His work bridges management and social psychology, addressing topics like leadership emergence, stereotype reduction, and decision-making dynamics. Executive Education : He designs programs for companies including Google, Microsoft, and Bank of America, specializing in leadership and decision-making. His courses at Stanford include OB 206: Organizational Behavior and OB 377: The Paths to Power . Awards : Spence Faculty Fellow (2020–21) James & Doris McNamara Faculty Fellow (2013–14) Leadership Roles : Director of Executive Leadership Development at Stanford GSB, overseeing programs like the Executive Leadership Development initiative. Personal : An avid hiker and introvert-turned-public speaker, Frank advocates for deliberate practice. His book recommendations and teaching philosophy emphasize simplifying complex ideas, as seen in his推崇 of Michael Schur’s How to Be Perfect .

Endadul HoqueView profile

Assistant Professor

• Computer Networks Security
• IoT Systems Security
• Vulnerability Detection
• +3 more

Endadul Hoque is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University (SU), leading the SYNE Lab. Previously, he held a similar position at Florida International University (FIU). He earned his Ph.D. in Computer Science from Purdue University in 2015, with postdoctoral research at Northeastern University. His research focuses on cybersecurity, particularly in automated vulnerability detection, network/system security, and IoT defense mechanisms. He draws on program analysis, formal verification, and fuzz testing. Key honors include the NSF CAREER Award (2024) and a Google Research Scholar Award (2022). His work has been published in top venues like ACM CCS, NDSS, and IEEE S&P. He actively seeks students for PhD/MSc positions in security, IoT, and program analysis. His grants include NSF funding for IoT policy enforcement and context-sensitive fuzzing. Education Ph.D., Computer Science, Purdue University, 2015 M.S., Computer Science, Marquette University, 2010 B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2008 Research Interests Dr. Hoque’s work spans secure network systems, IoT security, vulnerability detection, and automated reasoning methods like SMT solving and symbolic execution. Recent innovations include VetIoT (runtime IoT defense validation) and LLM-driven security tools like iConPAL. He emphasizes practical defenses and user-centric security solutions, such as the SeQR enterprise Wi-Fi configurator. Awards NSF CAREER Award (2024) Google Research Scholar Award (2022) NDSS Distinguished Paper (2018) Grants & Service He leads NSF-funded projects on IoT policy enforcement and context-sensitive fuzzing. Served on program committees for S&P, SecDev, and DSN. Teaches courses on systems security and operating systems at SU and FIU. Lab/Team SYNE Lab at Syracuse University focuses on securing networked systems through automated analysis, runtime verification, and resilient protocols.

Peter M. SengeView profile

Senior Lecturer

• Organizational Learning
• Systems Thinking
• Leadership Development
• +4 more

Peter M. Senge is Senior Lecturer at MIT Sloan School of Management, founding chair of SoL (Society of Organizational Learning), and co-founder of the Academy for Systemic Change. His work centers on promoting shared understanding of complex issues and shared leadership for healthier human systems, with major cross-sector projects focused on global food systems, climate change, regenerative economies, and the future of education. Peter M. Senge's educational background includes: BS in Engineering from Stanford University MS in Social Systems Modeling from MIT Sloan School of Management PhD in Management from MIT Sloan School of Management Peter Senge is best known for pioneering work in organizational learning and systems thinking. His research focuses on how organizations can develop the capacity to learn collectively, understand complex systems, and create sustainable change. He explores how shared understanding of complex issues can lead to shared leadership for healthier human systems across multiple sectors. His work bridges theory and practice, emphasizing practical applications of systems thinking in real-world organizational contexts, particularly in sustainability initiatives and cross-sector collaboration. Peter Senge's publications reveal consistent themes in organizational learning, systems thinking, and sustainable development. His work has evolved from foundational theories of learning organizations toward practical applications for addressing global challenges through systemic change. The articles demonstrate increasing focus on collaborative approaches to complex problems like sustainability, with emphasis on relational dynamics and cross-sector partnerships. Peter Senge has received significant recognition for his contributions to management theory and practice: Named one of the 24 people with greatest influence on business strategy by Journal of Business Strategy Recognized by Harvard Business Review as author of one of seminal management books of last 75 years Recognized by Financial Times as author of one of five most important management books Named to '1000 Talents' Program (Renzai) in China Through the Society for Organizational Learning (SoL) and the Academy for Systemic Change, Senge has created platforms for sharing knowledge and fostering collaboration across organizational boundaries. His work extends beyond traditional academic boundaries into practical applications with organizations worldwide, focusing on developing the capacity for systemic change. While specific grant information isn't detailed in the provided text, his involvement in major cross-sector projects suggests significant collaborative funding initiatives. Peter M. Senge co-founded the Society for Organizational Learning (SoL), a global network of organizations, researchers, and consultants dedicated to the 'interdependent development of people and their institutions.' More recently, he co-founded the Academy for Systemic Change, which seeks to accelerate the growth of the field of systemic change worldwide. These organizations serve as hubs for his work in advancing systems thinking and organizational learning across multiple sectors.

Una-May O'ReillyView profile

Research Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +6 more

Una-May O'Reilly is a Principal Research Scientist at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), leading the ALFA group. She holds a PhD in Computer Science from Carleton University (1995), with prior roles including a postdoctoral appointment at MIT's Artificial Intelligence Laboratory. Her research focuses on cybersecurity, adversarial AI, software security, and disinformation dynamics, applying evolutionary algorithms and machine learning to address arms races in cyber defense and societal challenges like climate change communication. Education: B.Sc., University of Calgary M.C.S., Carleton University Ph.D., Carleton University (1995) Research Interests: Adversarial machine learning for secure systems Coevolutionary algorithms in cybersecurity and healthcare Program comprehension via neuroscience and AI Climate disinformation mitigation on social media Large language model applications in code synthesis and threat hunting Key Projects: Adversarial Cyber Security : Modeling cyber attack-defense arms races GIGABEATS : AI-driven medical sensor data analysis for critical care MOOC Learner Project : Data science for online education insights Awards: EvoStar Award (2013) for contributions to evolutionary computation Fellow of ACM Sig-EVO Leadership & Service: Co-founder and Vice-Chair of ACM Sig-EVO Former Chair of GECCO (2005), major evolutionary computation conference Editorial roles in Evolutionary Computation and Genetic Programming and Evolvable Machines Labs & Groups: Leads the AnyScale Learning for All (ALFA) group at CSAIL, focusing on scalable AI for cybersecurity, healthcare, and education.

Elisa B SchweigerView profile

Senior Lecturer

• Retailing
• Marketing Analytics
• AI in Retail
• +5 more

Elisa B Schweiger is a Senior Lecturer (equivalent to Associate Professor) in Marketing at King’s Business School, King’s College London. She specializes in retailing, AI applications in marketing, multi-sensory marketing, and pricing strategies. Her research employs behavioral experiments, field studies, and text mining. Education: PhD in Consumer Psychology from the University of Bath. She also holds a background in psychology and marketing. Research Interests: Elisa’s work focuses on retail innovation, AI-driven consumer interactions, luxury branding, and the psychological underpinnings of consumer decisions. She explores how technology (e.g., voice assistants, mixed reality) impacts customer journeys and brand relationships. Her research bridges theory and practice, addressing topics like AI ethics, retail atmospherics, and consumer risk perceptions in energy technologies. Publications: Her work appears in top journals such as the Journal of the Academy of Marketing Science , Journal of Retailing , and Journal of Business Research . Recent topics include voice assistant evaluations, AI in lateral markets, and digital retailing trends. Awards: Recipient of the Dean’s Award for Early Career Researcher of the Year (2022), Journal of Retailing Davidson Best Paper Award Runner-up, and MMA Teaching Excellence Award. Teaching & Engagement: Teaches Marketing Analytics, Retailing, and research methods in graduate and executive programs. She serves on the editorial boards of Journal of Retailing and Journal of Business Research , and reviews for top marketing journals. Labs/Teams: Active in King’s Business School’s marketing research teams, focusing on innovation in retail and AI applications.

Vicki L. Plano ClarkView profile

Professor

• Mixed Methods Research
• Research Methodology
• Qualitative Research
• +3 more

Vicki L. Plano Clark is a Professor in the Research Methods area of the School of Education at the University of Cincinnati, where she advises students in the Quantitative and Mixed Methods Research Methodologies (QMRM) concentration of the Educational Studies doctoral program and the Applied Research Methods (ARM) track of the Educational Studies master's program. She joined the University of Cincinnati in 2012 after serving as the director of the Office of Qualitative and Mixed Methods Research at the University of Nebraska-Lincoln. Dr. Plano Clark earned her Ph.D. in Quantitative and Qualitative Methods in Education from the University of Nebraska-Lincoln (2005), M.S. in Physics from Michigan State University (1993), and B.A. in Physics from Kalamazoo College (1990). Her academic journey transitioned from physics education to research methodology, bringing a unique interdisciplinary perspective to her work. As a leading methodologist specializing in mixed methods research, Dr. Plano Clark's scholarship focuses on delineating useful designs for conducting mixed methods research, examining procedural issues associated with these designs, and exploring the contexts for the adoption and use of mixed methods. Her research spans diverse application areas including cancer pain management, STEM graduate student identity development, teacher professional development, and the well-being of rural low-income families. Her work demonstrates how mixed methods approaches can effectively address complex research questions across multiple disciplines. Dr. Plano Clark has made significant contributions to the field through her editorial leadership and publications. She was the founding Managing Editor for the Journal of Mixed Methods Research and currently serves as an Associate Editor. In 2011, she co-led the development of Best Practices for Mixed Methods in the Health Sciences for NIH's Office of Behavioral and Social Sciences Research. In 2012, she became a founding co-editor of the Mixed Methods Research Series with Sage Publications. She has authored numerous influential books including 'Designing and Conducting Mixed Methods Research' (now in its 3rd edition) and 'Mixed Methods Research: A Guide to the Field.' Founding Managing Editor for the Journal of Mixed Methods Research Co-developer of NIH's Best Practices for Mixed Methods in the Health Sciences (2011) Founding co-editor of the Mixed Methods Research Series with Sage Publications (2012) Chair of the Mixed Methods Research Special Interest Group of AERA As an active researcher, Dr. Plano Clark has secured multiple grants including a Department of Education grant evaluating Ohio Network of Education Transformation (ONET) Schools (as Principal Investigator) and a UC University Research Council grant on reducing mass incarceration by improving public defense (as Collaborator). Her recent publications continue to advance methodological understanding in mixed methods research, with a focus on integration techniques, terminology challenges, and applications across health sciences and education. Dr. Plano Clark maintains an active role in the research community through invited presentations and workshops worldwide, helping to train the next generation of researchers in mixed methods approaches and contributing to the ongoing development of methodological standards and practices.

Moncef KrartiView profile

Professor

• Building Energy Efficiency
• Renewable Energy Systems
• HVAC and Lighting Controls
• +3 more

Moncef Krarti is a Professor in the Department of Architectural Engineering at the University of Colorado Boulder, within the College of Engineering and Applied Science. His professional affiliations include roles as a Professional Engineer (PE) and LEED-AP. Krarti holds a Ph.D. (1987), M.Sc. (1985), and two Diplôme d'Ingénieur degrees (France, 1984/1982). His research focuses on evaluating energy efficiency technologies, optimizing building designs, and analyzing renewable energy systems. Key interests include HVAC controls, building retrofit strategies, and multi-benefit energy programs. Krarti has authored influential textbooks like Energy Audit for Building Systems and Energy Efficient Building Electrical Systems . Recent articles emphasize smart glazing systems, dynamic insulation, and geothermal heat pumps. His work addresses global challenges like urban heat islands and net-zero communities. Krarti has received prestigious awards including ASME Fellow (2015) and a 2023 Fulbright U.S. Scholarship. His research spans residential and commercial sectors, with case studies in Saudi Arabia, France, and the U.S.

Hye-Kyung LeeView profile

Professor

• Cultural Policy
• Creative Industries
• Korean Cultural Policy
• +2 more

Professor Hye-Kyung Lee is Professor of Cultural Policy at King's College London's Department of Culture, Media & Creative Industries. She obtained her PhD from the University of Warwick and specializes in state policies for culture, arts, and creative industries, with particular expertise in Korean cultural policy and East Asian cultural flows. Her research examines institutional frameworks of cultural policy, de-Westernization of cultural policy paradigms, and new justifications for cultural subsidies. Current investigations focus on the impact of generative AI on cultural labor and creativity. Professor Lee recently led the UK-Japan collaborative project 'Sustainable Cultural Futures' examining digital transformations in the cultural sector. Recent publications analyze venture capital approaches in cultural industries, pandemic-era cultural policy responses across East Asia, and the reformulation of cultural work in the AI era. Her extensive body of work includes foundational studies of the Korean Wave's policy implications and comparative analyses of creative industries governance. Professor Lee teaches cultural policy and creative industries courses in CMCI's BA and MA programs and welcomes PhD candidates researching cultural policy, creative industries, and cultural labor.

• Orthodontics
• Class III Malocclusion
• Orthognathic Surgery
• +3 more

Christophe Duigou serves as an Adjunct Senior Lecturer at The University of Western Australia's Dental School in Perth, contributing to orthodontic education and research within Australia's academic dental community. His research program centers on Class III Malocclusion management, with specialized expertise in surgical-orthodontic integration , cephalometric analysis , and craniofacial growth modification . Key investigations include comparative effectiveness of treatment protocols across healthcare systems and long-term outcomes of maxillary expansion techniques. Analysis of his 2020-2021 publications reveals consistent focus on orthognathic surgery optimization within Australasian contexts. His work bridges clinical orthodontics , health services research , and craniofacial biology , with particular attention to treatment duration variables and growth modification efficacy in Class III cases.

Samineh ShaheemView profile

Professor

• Organizational Behavior
• Emotional Intelligence
• Cultural Intelligence
• +3 more

Dr. Samineh Shaheem is a Professor of Organizational Behavior & Leadership at Hult International Business School. She founded the 'Bolt Down on Bullying' campaign to address bullying in UAE schools through culturally tailored programs. Her research bridges emotional intelligence, cultural awareness, and behavioral effectiveness in educational and organizational contexts. She teaches courses in Global Management, Leading with Personal Impact, and Organizational Behavior across Hult's MBA, EMBA, and MIB programs. Dr. Shaheem's approach emphasizes experiential learning to develop leadership competencies and emotional intelligence.