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Gavan J. FitzsimonsView profile

Professor

• Consumer Psychology
• Behavioral Decision Theory
• Unconscious Decision-Making
• +3 more

Gavan J. Fitzsimons is the Edward S. & Rose K. Donnell Distinguished Professor of Marketing and Psychology at Duke University's Fuqua School of Business , with a secondary appointment in the Department of Psychology & Neuroscience. He is a Faculty Network Member of the Duke Institute for Brain Sciences . His research bridges consumer psychology, behavioral decision-making, and social cognition, focusing on nonconscious influences on consumption patterns. Education: Ph.D., Columbia University (1995) Key research themes include subconscious consumer behavior , brand relationships , health-related consumption , and social dynamics in purchasing decisions . Recent work examines financial stress effects on purchase satisfaction, secret consumer behaviors in relationships, and pandemic-related decision-making. Notable trends in his 2023-2025 publications involve Marketing's subconscious influence (2025: Quality-Quantity Tradeoffs) Brand teasing as relationship-building (2025: Humor in Branding) Financial constraint effects on consumer happiness (2024: Opportunity Cost Analysis) Crisis behavior during pandemics (2024: Prosociality Across 39 Countries) Health behavior spillovers in families (2024: Parental Food Choices) Scientific Contributions include Foundational work on nonconscious consumer psychology (2008 JCP editorial) Methodological innovations in moderated regression analysis (2013 JMR ) Behavioral economics of brand sincerity effects (2015 JCR )

Mareike KühneView profile

Professor

• Accounting
• Corporate Governance
• Behavioral Economics
• +3 more

Prof. Dr. Mareike Kühne is a full-time Professor of Business Administration at the Department of Business and Management, Brandenburg University of Technology. With a unique interdisciplinary background spanning economics, business administration, philosophy, and neuroscience, she bridges affective dimensions with economic rationality to develop holistic decision-making frameworks. Doctorate in Economics, Otto von Guericke University Magdeburg (1992-1997) Fulbright Scholar, San Diego State University (1997-1998) Studies in Philosophy, Humboldt University (2007-2011) Doctoral and Master’s in Neuroscience, Berlin School of Mind and Brain (2011-2013) Her research integrates insights from psychology and neuroscience into capital market-oriented corporate reporting, corporate governance, and normative rationality frameworks. She critiques current economic models for neglecting the embodied nature of cognition, advocating for a more nuanced understanding of rationality that incorporates lived experience. Her 15 most recent works span sustainability reporting (2025), neuroeconomics (2021), M&A disputes (2017), and IFRS standard evolution (2005-2012). These publications highlight her focus on reconciling traditional accounting principles with interdisciplinary approaches to decision-making. Fulbright Scholar (1997-1998) Prof. Kühne has taught at Humboldt University, HHL Leipzig, and the Berlin School of Mind and Brain. She actively participates in professional organizations including the German Society for Philosophy, European Accounting Association, and European Financial Reporting Advisory Group. Her work emphasizes the practical impact of neuroscientific findings on economic policy and standard-setting.

James GilmoreView profile

Associate Professor

• Media Technology Studies
• Datafication
• Wearable Technologies
• +4 more

Dr. James Gilmore is an Associate Professor and Graduate Coordinator in the Department of Communication at Clemson University's College of Behavioral, Social and Health Sciences. He joined Clemson in 2018 after earning his Ph.D. in Communication and Culture from Indiana University. His academic foundation includes an M.A. in Film and Television from UCLA and a B.A. in Film and Media Studies from the University of South Carolina. Research Focus Dr. Gilmore's research examines the cultural politics of media and communication technologies, with emphasis on datafication (how human behavior is converted into data), wearable technologies (e.g., smartwatches, fitness trackers), and infrastructural systems . His work critiques surveillance norms, accessibility design, and solutionist approaches in tech. He authored Bringers of Order: Wearable Technologies and the Manufacturing of Everyday Life (UC Press, 2025) and co-edited anthologies on Orson Welles and superhero digital convergence. Publication Trends His recent articles (2020-2025) cluster around three themes: wearable tech ethics (e.g., forensic uses of Fitbit/GoPro data), streaming/platform infrastructures (e.g., Disney’s data reflexivity, Capitol Riot documentation), and surveillance politics (e.g., geofencing, CAD systems). Methodologically, he blends critical-cultural analysis with industry ethnography, often highlighting tensions between technological promise and social consequence. Awards and Honors Top Paper Award, Southern States Communication Association (2024) Outstanding Teaching Award, Clemson University (2022-2023) Outstanding Research Publication, Clemson University (2022) Ray Camp Research Award, Carolinas Communication Association (2018) Graduate Writing Prizes, Indiana University (2016) Advising and Service Dr. Gilmore mentors graduate/undergraduate researchers, co-authoring with 17+ students on topics like VR accessibility, mental health platforms, and AI negotiations. As Graduate Coordinator, he oversees program development and student progression. He serves as an expert source for media outlets (Wired, The Verge) on technology culture and maintains an active public scholarship profile.

Melissa KoenigView profile

Professor

• Cognitive development
• culture
• cross-culture
• +7 more

Melissa Koenig serves as Professor and Director of Graduate Studies at the University of Minnesota's Institute of Child Development (ICD), where her research examines social and testimonial learning mechanisms in children through investigations of trust, cultural learning, memory, language, and cognitive development. As a first-generation college student, she prioritizes supporting students navigating academic systems through collaborative mentorship. Education PhD (2002), University of Texas at Austin Her research program spans cognitive development, cross-cultural studies, early childhood, language acquisition, theory of mind, and social-emotional development across peer, parent, and romantic contexts. The lab employs interdisciplinary, multi-method approaches with explicit cultural analysis to advance developmental science, particularly examining how children evaluate information sources and integrate testimony into moral frameworks. Analysis of her 2021-2024 publications reveals dominant themes in epistemic trust development, including how children assess informant credibility through moral behavior, group affiliation, and cultural context. Key trajectories show increasing sophistication in distinguishing epistemic versus practical reasoning, cross-cultural variations in trust attribution, and the developmental emergence of resistance to power-based corruption like bribery. Advising & Mentorship Accepts new PhD students for Fall 2026 cohort Requires prospective students to contact prior to December 1 application deadline Public advising statement details mutual expectations and support structures Specializes in guiding students through academic navigation and hidden curriculum challenges She directs the Early Language and Experience Lab, which maintains a collaborative research environment focused on uncovering constraints and supports for children's social learning across diverse contexts, with particular attention to cultural and socioeconomic variables in developmental processes.

Divya Jayakumar NairView profile

Senior Lecturer

• Transportation Engineering
• Disaster Management
• Network Design and Optimization
• +4 more

Dr. Divya Jayakumar Nair serves as Senior Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), where she also holds the position of Associate Dean International – South Asia for UNSW Engineering. Her academic work is centered at the Research Centre for Integrated Transport Innovation (rCITI), focusing on transportation systems, network optimization, and disaster management applications. Dr. Nair's research interests span transportation engineering, disaster management, and urban mobility systems. Her work investigates complex network design problems, particularly in pre-disaster evacuation planning, transportation resilience, and food rescue logistics. She employs advanced analytical methods including traffic equilibrium modeling, network optimization techniques, and data-driven approaches to solve real-world transportation challenges with significant societal impact. Her recent publications demonstrate a strong focus on transportation resilience during disasters, with particular attention to equity considerations in pre-event planning. Dr. Nair's research shows how transportation networks can be optimized to improve emergency response while ensuring equitable access to safety for all population segments. Her work bridges theoretical network optimization with practical applications in urban environments facing climate-related challenges. Dr. Nair collaborates extensively with leading researchers in transportation including S. Travis Waller, Vinay V. Dixit, David Rey, and Taha Rashidi. Her collaborative approach spans multiple institutions and addresses pressing challenges in urban transportation systems worldwide.

• Hydrology
• River Engineering
• Flood Prediction
• +7 more

Patrick Willems is a full Professor at KU Leuven's Faculty of Engineering Sciences, Department of Civil Engineering. He serves as the head of the Hydraulics Subdivision within the Hydraulics and Geotechnics unit. Professor Willems holds multiple significant roles including chairman of the ADS Bureau, member of the Faculty Council of Engineering Sciences, and participant in the Leuven One Health Institute and KU Leuven Institute for Urban Studies (LUSI). His work addresses critical global water management challenges through advanced hydrological modeling and climate change adaptation strategies. Professor Willems' research spans several critical areas in water resources engineering. His primary expertise includes urban hydrology and river engineering, statistical hydrology with focus on flood prediction and risk analysis, integrated river basin management, precipitation analysis, and climate change impacts on hydrological extremes. He employs both traditional hydrological modeling approaches and innovative machine learning techniques to develop practical solutions for flood warning systems, urban water management, and climate adaptation planning. His research integrates statistical methods, numerical modeling, and data science to address complex water management problems across multiple geographical contexts. Professor Willems leads multiple major international research projects examining hydrological extremes in transboundary river basins, natural climate adaptation measures, hydrological modeling of peatland areas, and deep learning-based prediction of hydrological extremes. His work spans various geographical contexts including Belgium, Vietnam, Bolivia, Tanzania, and the Congo Basin, demonstrating both local relevance and global applicability of his research. Within KU Leuven, Professor Willems teaches diverse courses including Environmental Problems and Techniques, Statistics and Data Science, Stochastic Hydrology, Urban and River Hydrology and Hydraulics, River Modeling, and Probability and Statistics. He also leads the Hydraulic Engineering Project course and an Artificial Intelligence Project course, reflecting his commitment to integrating traditional engineering knowledge with modern computational approaches. As head of the Hydraulics Subdivision, he oversees research activities focused on developing advanced water engineering tools and methodologies that bridge theoretical advancements with practical applications for water management authorities.

Michael Z. LevyView profile

Professor

• Vector-Borne Diseases
• Urban Epidemiology
• Zoonotic Diseases
• +6 more

Michael Z. Levy is a Professor of Epidemiology in the Department of Biostatistics and Epidemiology at the University of Pennsylvania Perelman School of Medicine. He co-directs the University of Pennsylvania/Universidad Peruana Cayetano Heredia Zoonotic Disease Research Laboratory in Arequipa, Peru, and holds secondary affiliations with the Center for Clinical Epidemiology and Biostatistics, Center for Public Health Initiatives, History and Sociology of Science, and Latin American and Latinx Studies. His research spans interdisciplinary domains including vector-borne diseases, computational biology, urban ecology, and social justice. Education: B.A. in Philosophy and Biology from Amherst College (1998), PhD in Population Biology, Ecology, and Evolution from Emory University (2007). Levy's work focuses on urban zoonotic diseases , particularly Chagas disease and canine rabies , integrating ecology, epidemiology, and computational methods. He investigates how insect vectors interact with social systems, housing policies, and climate change, extending to pandemic modeling during the Covid-19 crisis. His research group (28 members) collaborates with Peruvian Ministry of Health to control Chagas and rabies outbreaks in Arequipa. Notable contributions include novel geospatial surveillance models , behavioral economics applications for vector control, and bed bug epidemiology linking infestations to public health challenges. Recent publications highlight 2025-2024 trends in Chagas vector dynamics , zoonotic rabies control , vaccine strategies , and genomic outbreak analysis , emphasizing interdisciplinary approaches to urban disease ecology. He has participated in cluster randomized trials and behavioral design studies to improve community engagement in vector control campaigns in Peru, focusing on incentive mechanisms and surveillance equity . The Zoonotic Disease Research Lab in Arequipa employs interdisciplinary methods combining biological research , social science , and computational modeling to address urban disease transmission.

Ines M. L. AzevedoView profile

Professor

• Energy Systems
• Environmental Engineering
• Air Pollution
• +4 more

Ines M. L. Azevedo is a Professor in the Department of Energy Science and Engineering at Stanford University, with courtesy appointments in Civil and Environmental Engineering and Earth System Science. As a Senior Fellow at the Precourt Institute for Energy, her research bridges environmental, technical, economic, and policy dimensions of energy systems. Research Focus: Energy system transitions, air pollution impacts, climate change mitigation, and equity in electrification. Awards: C3E Women in Clean Energy Research Award (2017) Philip L. Dowd Fellowship (2017) World Economic Forum Young Scientists Under 40 (2014) Advising: Mentors doctoral and master's students in energy systems and environmental research. Recent Article Trends: Analyzes air quality in India, lifecycle impacts of battery recycling, and equity dimensions of transportation electrification.

Axel GandyView profile

Professor

• Computational Statistics
• Statistics in Finance
• Survival Analysis
• +3 more

Axel Gandy is a Professor of Statistics at the Department of Mathematics, Imperial College London. He serves as Director of the EPSRC CDT in Modern Statistics and Statistical Machine Learning , overseeing PhD supervision and advanced statistical training.

Jaline L GerardinView profile

Associate Professor

• Epidemiology
• Malaria
• Infectious Diseases
• +7 more

Jaline L Gerardin is an Associate Professor in Preventive Medicine (Epidemiology) and McCormick School of Engineering at Northwestern University. She is affiliated with the Center for Global Health, Institute for Public Health and Medicine (IPHAM), Northwestern Institute on Complex Systems, and Robert J. Havey, MD Institute for Global Health. Her career focuses on malaria modeling and public health interventions. Current affiliations: Northwestern University, IPHAM, NICO, Center for Global Health Prior role: Malaria lead at Institute for Disease Modeling Research Focus: Gerardin specializes in malaria transmission modeling and public health intervention optimization . Her work addresses subnational tailoring of malaria strategies, intervention mix analysis for elimination, and ethical modeling practices. She integrates multidisciplinary data (entomology, immunology, demography) into agent-based models to guide policy in resource-limited settings. Article Trends: Recent publications emphasize subnational malaria intervention prioritization (Guinea, Nigeria), diagnostic performance evaluation, human mobility impacts on transmission, and wastewater surveillance applications for disease modeling. Leadership Roles: Co-chair: American Society of Tropical Medicine and Hygiene symposia Member: WHO working groups, Malaria Modeling Consortium Advisor: WHO Malaria Multi-Model Comparison initiatives Education: PhD from University of California, San Francisco (2013)

Satish NambisanView profile

Professor

• Innovation management
• Digital Innovation
• Entrepreneurship
• +6 more

Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.

• Power System Control
• Smart Grids
• Communication Systems
• +11 more

Lars Nordström is a Professor at the Division of Electric Power and Energy Systems within KTH Royal Institute of Technology, Stockholm, Sweden. His work bridges control systems , communication networks , and power systems , with a focus on future architectures, functionality, and quality aspects of ICT for power grid operations. He has led initiatives such as the Swedish Centre of Electric Power Engineering and served as Thematic Leader for Smartgrids in KIC InnoEnergy. In 2014, he was a Visiting Professor at Washington State University. Education : Ph.D., MSc.EE Nordström's research explores the intersection of smart grids , machine learning , and cybersecurity for power systems. Key areas include: Wide-Area Monitoring and Control (WAMC) systems Decentralized control strategies for DC microgrids Impedance modeling using neural networks Data-driven methods for islanding detection ICT reliability and protocol design for grid operations His recent publications emphasize machine learning applications in power systems, including LSTM networks for EV charging management, graph attention networks for stability monitoring, and digital twin approaches for cyber-attack mitigation. These works span disciplines such as Smart Grids, Power Electronics, and Data Science. Scientific Recognitions : Senior Member, IEEE Senior Member, CIRED Senior Member, Cigre Past Chairman, Swedish IEC TC57 Mirror Committee Nordström actively teaches and examines graduate courses like Communication and Control in Electric Power Systems and Computer Applications and Machine Learning in Electric Power Systems . His work influences industry practices through collaborations on digital substations, energy market analysis, and resilience strategies.

• Autonomic Modulation of Cardiovascular Function
• Baroreflex Sensitivity
• Childhood Obesity and Autonomic Function
• +1 more

Dr. Peter L. Latchman serves as a Professor in the Department of Health and Movement Sciences at Southern Connecticut State University. He holds a Doctorate in Applied Physiology from Columbia University and is an Overseas Fellow of the Royal Society of Medicine. His academic career spans decades of research in autonomic cardiovascular regulation with applications to diverse populations including Young adults post-COVID-19 infection Ethnic disparities in baroreflex sensitivity Autonomic dysfunction in obese children Central hemodynamic analysis Recent scholarship focuses on autonomic modulation patterns and their implications for cardiovascular health, while his teaching portfolio encompasses both graduate and undergraduate courses in exercise physiology, cardiac rehabilitation, and medical terminology. Dr. Latchman has delivered presentations at international symposia on topics including Baroreflex sensitivity in African American populations Effects of aerobic capacity on autonomic recovery Vascular physiological assessment techniques Scientific contributions include Overseas Fellowship, Royal Society of Medicine $10,000 grant for cardiovascular assessment in autistic children (2023) He maintains active research collaborations with institutions such as East China Normal University and Hong Kong Baptist University.

Beat HintermannView profile

Professor

• Public Sector Economics
• Climate Policy
• Transportation Economics
• +4 more

Prof. Dr. Beat Hintermann is a Professor of Public Finance at the University of Basel's Faculty of Business and Economics (WWZ). His research focuses on public sector economics with particular emphasis on climate policy and mobility behavior. Hintermann leads empirical research using GPS tracking data to study transportation choices and the effectiveness of pricing mechanisms to encourage sustainable mobility options. His research interests span several interconnected areas: public sector economics, climate policy design, transportation economics, and environmental economics. He investigates how pricing mechanisms can influence individual behavior to reduce environmental externalities, with special attention to sustainable mobility solutions like e-biking. His work often combines economic theory with rich empirical analysis of real-world data, particularly examining the intersection of environmental policy and individual decision-making. Hintermann's recent publications reveal a strong focus on empirical mobility studies, particularly through the MOBIS dataset that tracks mobility behavior in Switzerland. His research shows how transport pricing can effectively promote e-biking and reduce negative externalities. He has also conducted significant work on carbon pricing mechanisms, emissions trading systems, and the impacts of climate policies on economic behavior. His work during the pandemic period examining mobility changes provides valuable insights into how external shocks affect transportation choices. Hintermann's research methodology is characterized by rigorous empirical analysis, often employing field experiments and large-scale GPS tracking data to measure behavioral responses to policy interventions. His work on Pigovian transport pricing represents an important contribution to understanding how economic instruments can be designed to address environmental externalities in the transportation sector. As part of the University of Basel's Faculty of Business and Economics, Hintermann contributes to research centers focused on sustainable development and environmental economics. His work bridges academic research with practical policy applications, providing evidence-based insights for policymakers designing effective environmental and transportation policies.

Eric GreenView profile

Adjunct Assistant Professor

• Transportation Engineering
• Highway Safety
• Geographic Information Systems (GIS)
• +5 more

Eric Green is an Adjunct Assistant Professor in the Department of Civil Engineering at the University of Kentucky , affiliated with the Kentucky Transportation Center . He holds a Ph.D., M.S., and B.S. in Civil Engineering from the same institution. Ph.D., Department of Civil Engineering, University of Kentucky M.S., Department of Civil Engineering, University of Kentucky B.S., Department of Civil Engineering, University of Kentucky His research focuses on highway safety , spatial analysis (GIS) , crash modeling , and software development for traffic safety . Recent work includes text mining for secondary crash detection and GPS-based horizontal curve analysis. Publications highlight trends in crash analysis , Highway Safety Manual methodologies , and data integration for asset management . Key subfields include GIS applications, safety modeling, and automated regression techniques.