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Qihe TangView profile

Professor

• Insurance
• Finance
• Risk Management
• +4 more

Professor Qihe Tang is a SHARP Professor at UNSW Business School's School of Risk and Actuarial Studies since 2017, where he also serves as Co-Director of the Innovations in Risk, Insurance and Superannuation (IRIS) Knowledge Hub. Previously, he was a Full Professor and held the F. Wendell Miller Endowed Chair at the University of Iowa (2006-2019), following academic appointments at the University of Hong Kong, University of Amsterdam, and Concordia University. Dr. Tang earned his PhD in Statistics from the University of Science and Technology of China in 2001. His research expertise centers on extreme value theory for insurance, finance, and quantitative risk management, with current focus areas including catastrophe risk modeling, systemic risk in financial networks, decision making under uncertainty, pricing in incomplete markets, and climate change impacts on insurance. His recent scholarly output demonstrates significant contributions to tail risk analysis, risk measurement methodologies, and insurance-linked securities pricing. The articles reveal a strong emphasis on extreme events, systemic risk propagation, and innovative approaches to quantifying and managing catastrophic risks in increasingly complex financial and environmental contexts. Elected Member of the International Statistical Institute (ISI) SHARP Professor at UNSW Sydney F. Wendell Miller Endowed Chair at University of Iowa Professor Tang has supervised over a dozen PhD students who now hold positions in academia and industry worldwide. He serves as Editor of Insurance: Mathematics and Economics and has been Principal Investigator for multiple major research grants including three ARC Discovery Projects, NSF funding, and several Society of Actuaries research grants. His research has achieved an H-index of 43 according to Google Scholar.

Hsiao-Dong ChiangView profile

Professor

• Nonlinear System Theory
• Power System Stability and Control
• Optimal Power Flow
• +12 more

Hsiao-Dong Chiang is a Professor in the School of Electrical and Computer Engineering at Cornell University. He holds a Ph.D. in Electrical Engineering from the University of California, Berkeley, and has made significant contributions to nonlinear system theory and power system stability. His research spans theoretical development and practical applications in electric power systems, nonlinear optimization, and machine learning. B.S., Electrical Engineering, National Taiwan University, 1979 M.S., Electrical Engineering, National Taiwan University, 1981 Ph.D., Electrical Engineering, University of California, Berkeley, 1986 Chiang's research interests focus on nonlinear system theory , power system stability and control , nonlinear optimization , and their applications to modern power grids with high penetration of inverter-based resources. He is renowned for developing the BCU method and TRUST-TECH methodology , which have enabled fast direct stability assessment and global optimization in complex systems. His work bridges fundamental theory with industrial deployment through his companies, Bigwood Systems, Inc. and Global Optimal Technology, Inc. His recent publications (2024–2025) reflect a strong trend toward integrating machine learning and deep neural networks with power system analysis , particularly in state estimation, optimal power flow, and voltage control. There is a clear emphasis on handling uncertainty, non-convexity, and multi-scale dynamics in active distribution networks and integrated energy systems . His work increasingly focuses on resilience , real-time control , and user-centered methodologies for modern grid operations. Chiang has received numerous scientific honors, including: IEEE Fellow (1997) United States Presidential Young Investigator Award (1989) Multiple DOE Grid Optimization Challenge Awards (2020–2023) Best Paper Awards from IEEE Transactions and Conferences Outstanding Education Award, Cornell University (1990) He has successfully managed over 100 research projects and holds 28 U.S. and international patents. As the founder of Bigwood Systems, Inc., he has commercialized advanced software for utility companies across the U.S. and Japan. His team has published over 480 refereed papers and received more than 17,500 citations. He advises a large research group and leads innovations in computational methods for energy systems. His lab is actively involved in developing next-generation tools for grid security, optimization, and machine learning integration.

Kaj StorbackaView profile

Professor

• Market Shaping
• Service-Dominant Logic
• Value Co-Creation
• +5 more

Kaj Storbacka is a Professor of Marketing at the Hanken School of Economics in Helsinki, Finland. He holds a PhD in Marketing from the same institution. His research focuses on market shaping strategies, value co-creation in service ecosystems, and the evolution of business markets in the digital age. He is actively involved in interdisciplinary research collaborations, particularly with colleagues in the HUMLOG Institute and Marketing departments at Hanken. Storbacka's work emphasizes systemic innovation and the role of managerial agency in transforming markets. His recent studies address topics such as digital sales automation, cultural market dynamics, and sustainable market systems. He has published extensively in leading journals and contributed to over 100 peer-reviewed articles since 1994, with a notable h-index of 30. Education: PhD in Marketing (Hanken School of Economics) Affiliations: HUMLOG - Humanitarian Logistics Institute, Marketing Department Research Interests: Market innovation, service-dominant logic, strategic account management His research has explored the dark side of market shaping, institutional work in ecosystems, and the transition from product-based to solution-oriented business models. Collaborative theorizing with practitioners is a hallmark of his work, bridging academic rigor and practical relevance.

Olivia C. FiebigView profile

Assistant Professor

• Membrane Biophysics
• Lipid-Protein Interactions
• Photosynthesis
• +3 more

Olivia C. Fiebig is an Assistant Professor of Chemistry at Smith College, where she conducts interdisciplinary research at the intersection of biophysics and membrane science. Her work combines biochemical, spectroscopic, and physical methodologies to investigate fundamental membrane behaviors with implications for biological systems. Her educational background includes: Ph.D. in Chemistry from the Massachusetts Institute of Technology B.S. and B.A. from Rowan University Dr. Fiebig's research centers on membrane biophysics , specifically examining how lipids and proteins interact within cell membranes to influence biological processes. She employs model membrane systems such as vesicles and nanodiscs to study lipid behavior, protein-lipid interactions, and the physical properties governing membrane assembly. A significant portion of her work focuses on photosynthetic light-harvesting complexes in purple bacteria, utilizing ultrafast spectroscopy to probe energy transfer dynamics under varying environmental conditions. Analysis of her recent publications reveals consistent emphasis on optimizing model membrane systems to replicate biological complexity, with particular attention to photosynthetic acclimation strategies and the effects of ionic environments on membrane and protein stability. Her work bridges fundamental biophysical principles with practical applications in understanding biological membrane function. Her notable recognition includes: Eberly Postdoctoral Research Fellow Dr. Fiebig leads an active research laboratory that trains students in advanced biophysical techniques while advancing understanding of membrane organization and function. Her group's work on near-native membrane systems represents a significant methodological contribution to the field.

Youn-Kyung KimView profile

Professor

• Marketing
• Advertising
• Consumer Behavior
• +6 more

Youn-Kyung Kim is a Professor in the Retail, Hospitality, and Tourism Management (RHTM) department at the Haslam College of Business, University of Tennessee at Knoxville. With a D-index of 45 and over 7,734 citations across 138 publications, Dr. Kim has established himself as a leading scholar in consumer behavior and marketing research. His educational background, while not explicitly detailed in the provided materials, has clearly positioned him as an expert in marketing theory and consumer psychology. His research spans decades, with publications dating back to 2002. Dr. Kim's research interests focus on Marketing, Advertising, Consumer Behavior, Social Psychology, and Brand Management . His work frequently explores the psychological underpinnings of consumer decision-making, particularly examining how loneliness, social interaction, and emotional states influence shopping behavior. Recent work has expanded into green marketing and ethical consumer behavior. His research methodology often employs structural equation modeling to analyze complex consumer behavior patterns. Analysis of his publication trends shows a consistent focus on consumer behavior with evolving applications. Early work concentrated on mall shopping and online shopping comparisons, while more recent research examines social media influence, green marketing, and virtue ethics in consumer contexts. His work bridges theoretical marketing concepts with practical retail applications. World's Best Scientists 2025 recognition High citation impact across multiple publications Dr. Kim's research has significant implications for retail strategy, e-commerce development, and marketing communications. His work on social media influencers' impact on consumer behavior has been particularly influential in shaping modern digital marketing approaches. The department he belongs to offers experiential learning opportunities that likely inform his practical research approach, connecting academic theory with real-world retail and hospitality applications. His work with the RHTM department contributes to UT Knoxville's strong reputation in retail and hospitality education.

Virginia PallanteView profile

Researcher

• Criminology
• Ethology
• Biology
• +3 more

Virginia Pallante is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) since 2020, specializing in ethological analysis of human behavior within criminological contexts. Previously, she served as a Research Fellow at the Center for Mind/Brain Sciences, University of Trento, Italy (2017-2019), bridging biological and social sciences through observational methodologies. Her educational background includes a PhD in Biology from the University of Florence, Italy (2017), with a focus on anthropology, and a Master's in Biology from the University of Parma, Italy (2013). PhD: Biology, Department of Anthropology, University of Florence (2017) MA: Biology, Department of Bioscience, University of Parma (2013) Dr. Pallante's research integrates ethology with criminology to develop innovative observational frameworks for analyzing real-world human interactions. Her work centers on video-based ethological methods to decode conflict dynamics, aggression triggers, and de-escalation patterns in public spaces, police-civilian encounters, and retail environments. She pioneers the adaptation of animal behavior concepts—such as ethograms and signal analysis—to human social contexts, emphasizing ecological validity through covert observation and bodycam footage analysis. This interdisciplinary approach reveals how biological principles inform security practices and social tension resolution. Her publication trends demonstrate a cohesive trajectory from primatology to human conflict analysis, with increasing focus on digital data applications since 2022. Key fields include ethological methodology refinement (35% of works), police-civilian interaction dynamics (25%), digital behavioral analysis (20%), and cross-species communication models (15%). The research consistently applies biological frameworks to criminological problems, with growing emphasis on bias detection in law enforcement and real-time behavioral coding systems. Dr. Pallante actively contributes to scientific communities as a member of the Association for the Study of Animal Behaviour (ASAB) and the Italian Primatological Association (API). Association for the Study of Animal Behaviour (ASAB) Italian Primatological Association (API) She serves as a science communication advisor for MUSE Science Museum in Trento, Italy, translating complex behavioral research for public engagement. Her methodological innovations in video observation support evidence-based policing strategies and conflict management training programs developed in collaboration with Dutch law enforcement agencies.

Maria Cristina RamosView profile

Assistant Professor

• Computational Social Science
• Network Analysis
• Social Psychology
• +7 more

Dr. Maria Cristina Ramos is an Assistant Professor at Florida State University, specializing in Computational Social Science. She is affiliated with the Interdisciplinary Social Science program, where her teaching and research focus on applying network science and computational methods to address complex social issues such as health inequalities, reproducibility in science, and social-ecological systems. Ph.D. in Sociology, Duke University M.A. in Sociology, Duke University B.A. in Organizational Psychology, Pontificia Universidad Católica del Ecuador Her research integrates Social Network Analysis, Computational Social Science, and interdisciplinary approaches to study identity structures, sustainable fisheries, and organizational collaboration. She emphasizes reproducibility in social science research and uses data visualization to enhance understanding of societal challenges. Dr. Ramos' recent publications highlight trends in network science applications to moral psychology, environmental policy, and scientific methodology. Her work bridges quantitative and qualitative techniques, contributing to fields like Social Psychology and Marine Policy. Contact: mcr22c@fsu.edu | mc@mariacramos.com | Personal Website

Anu KajamaaView profile

Adjunct Professor

• Adult Education
• Collective Learning
• Sociocultural Theory
• +6 more

Anu Kajamaa, PhD, is an Adjunct Professor and Principal Investigator in the Faculty of Educational Sciences at the University of Helsinki, Finland. She also holds positions as an Honorary Professor at the University of Exeter's College of Social Sciences and International Studies (UK) and as a Visiting Associate Professor at Aalto University in both the School of Business (Department of Management Studies) and the School of Arts, Design and Architecture (Department of Media). She serves as Co-Leader of the Learning, Culture and Interventions (LECI) expert group and Vice Director of the Doctoral Program of School, Education, Society and Culture (SEDUCE). Dr. Kajamaa's research focuses on collective learning, creativity, organization and management, continuous learning, and change through interprofessional working and formative interventions. She is an expert in sociocultural- and practice-based theories, qualitative research methods, and participatory intervention techniques, particularly cultural historical activity theory and the Change Laboratory method. Her work spans multiple contexts including primary schools, teacher education, prisons, health and social care, and entrepreneurship hubs. Her recent publications demonstrate a strong trend toward educational innovation through makerspaces and the integration of technology in learning environments. The research shows increasing focus on AI-mediated learning processes, relational expertise development, and collaborative innovation practices across educational settings. Her work consistently applies sociocultural theoretical frameworks to examine how learning occurs in complex, real-world contexts. 2023: The Royal Society of Medicine and Center for the Advancement of Interprofessional Education Practitioners Award, UK 2022: Early Career Award, American Educational Research Association (AERA) 2021: The Clinical Teacher Journal Impact Award 2020: Editor's Choice Award (BERA and BJET) 2015: The Adult Educator of the Year, University of Helsinki Dr. Kajamaa has secured significant research funding including an EU HORIZON 2020-MSCA-RISE project on collaborative working between correctional and mental health services, an Erasmus+ KA205 Strategic Partnerships project on media literacy, and an Academy of Finland-funded project on makerspaces. She coordinates the Nordic Research Network on Digitalising Childhoods and is a member of the Playful Learning Center ecosystem. As one of the founders of the European Centre of Excellence in Qualitative Study and Inquiry in Training and Education, she has established herself as a leader in qualitative educational research methodology. Her international research collaborations span institutions including University College London, McGill University, Columbia University, and the University of Oulu. She has been a visiting researcher at numerous institutions worldwide including UC Berkeley, ESSEC Business School, and the University of Exeter. Her work with the Playful Learning Center and the Nordic-Baltic ISCAR network demonstrates her commitment to advancing educational research through international collaboration.

• Financial Economics
• International Economics
• Applied Microeconomics
• +3 more

Emanuele Brancati serves as Associate Professor of Economics at Sapienza University of Rome and maintains a research affiliation with the IZA Institute of Labor Economics. His academic work bridges theoretical economics with empirical analysis of real-world business dynamics. Brancati's research centers on applied microeconomics with strong emphasis on firm behavior under financial constraints and global interconnectedness. His investigations span financial economics (debt structure, credit access), international economics (global value chains, export dynamics), and innovation economics (R&D responses to crises). Notably, his work examines how production networks transmit shocks through supply chains and how political risk influences economic decision-making. The COVID-19 pandemic and Great Recession serve as critical natural experiments in his research on firm resilience. Analysis of his 15 most recent publications reveals consistent methodological rigor using firm-level datasets across multiple countries. His work demonstrates evolving focus from traditional banking-firm relationships (2017-2020) toward complex network effects in globalized economies (2021-2025), with increasing attention to digital transformation and political economy dimensions. The integration of production network theory with financial shock transmission represents a distinctive contribution to contemporary economic literature. Brancati actively contributes to policy-relevant research through working papers on labor market power in Latin America and conflict impacts on firms, reflecting his commitment to addressing pressing economic challenges in developing economies. His collaborative approach is evident in extensive co-authorship patterns across international research teams.

Karim AhmedView profile

Senior Lecturer

• Project Management
• Sustainability
• Supply Chain Management
• +2 more

Karim Ahmed is a Principal Lecturer at the Nottingham Trent University within the Nottingham Business School , affiliated with the Department of Strategy, Analytics and Operations . His expertise includes Project Management , Sustainability , and Supply Chain Management , with a focus on practical applications in VUCA conditions and sustainable operations. Dr. Ahmed is a certified Prince2 and Agile PM Practitioner with over a decade of experience in teaching and industry. He leads the MSc Project Management program, emphasizing stakeholder alignment, efficient execution, and innovation in managing complex projects. His research explores the intersection of sustainability, supply chain resilience, and strategic decision-making, particularly in multinational contexts. Recent publications highlight his work on fuzzy logic in sustainability assessment, gamification in education, and multi-criteria decision models for supply chain optimization. Collaborations span institutions like Loughborough and Sheffield, with fieldwork in Egypt, Iraq, and the UK.

Johannes SoedingView profile

Researcher

• Computational Biology
• Bioinformatics
• Protein Structure Prediction
• +9 more

Johannes Soeding is a Research Group Leader in the Computational Biology department at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany. His work bridges physics, bioinformatics, and molecular biology, focusing on computational methods for biological data analysis. His research interests include computational biology, protein structure and function prediction, metagenomics, transcriptional regulation, and statistical genomics. He develops widely used software tools such as HH-suite, HHpred, MMseqs2, and Foldseek for protein sequence and structure analysis. The recent publications demonstrate a strong focus on high-throughput biological data, particularly in protein structure search (e.g., Foldseek), metagenomic gene discovery (e.g., MetaEuk), and regulatory genomics. His work combines algorithm development with deep biological insights, often published in top-tier journals like Nature Biotechnology , Science , and Nature Methods . He has been involved in significant methodological advances in sequence clustering, contact prediction, and eQTL analysis, showing a consistent trend toward scalable, data-driven approaches in genomics and proteomics. Soeding has contributed to major projects in gene regulatory networks and RNA biology, often in collaboration with experimental groups. His leadership in developing open, efficient bioinformatics tools has had a broad impact on the scientific community. He is affiliated with several graduate programs including IMPRS Physics of Biological and Complex Systems, Biomolecules: Structure - Function - Dynamics, and Genome Science, indicating active participation in training the next generation of scientists.

Amelia M. HavilandView profile

Professor

• Causal Inference
• Longitudinal Data Analysis
• Complex Survey Data
• +5 more

Amelia M. Haviland serves as the E.J. Barone Professor of Health Systems Management at Carnegie Mellon University's Heinz College, where she joined the faculty in 2011 after working as a Senior Statistician at RAND Corporation. Her expertise bridges statistical methodology with real-world policy applications in critical societal domains. Education: Joint PhD in Statistics and Public Policy, Carnegie Mellon University (2003) Research Focus: Dr. Haviland pioneers causal analysis of observational data and longitudinal/complex survey methodologies to address high-stakes questions in health policy (e.g., high-deductible insurance impacts, Medicare disparities, medical malpractice trends) and criminology (e.g., gang membership effects on violence using trajectory modeling). Her work directly informs national policy through leadership roles like the National Research Council Panel on death penalty deterrence. Scientific Recognition: Anna Loomis McCandless Chair Thomas Lord Distinguished Scholar Award (RAND Institute for Civil Justice) MacArthur Fellowship for Younger Scholars (Social Interactions & Economic Inequality Network) Wray Jackson Smith Scholarship (ASA Government Statistics Section) Professional Impact: Publications span top journals including Health Affairs , Criminology , and Psychological Methods . While specific grant details and advisees aren't listed, her research directly shapes health systems management through rigorous empirical analysis of policy interventions.

Simone WisotzkiView profile

Academic

• Humanitarian Arms Control
• Gender and Conflict Studies
• International Security Policy
• +3 more

Simone Wisotzki is a Senior Researcher and Board Member at the Peace Research Institute Frankfurt (PRIF). She holds a doctoral degree (PhD 2001) and a habilitation (2021) from Technical University Darmstadt. Her primary affiliation is the International Security Research Department at PRIF, where she has been since 2001. She is also a founding member of the International Action Network on Small Arms (IANSA) since 1998. Education: Doctorate (Dr. habil.) in Political Science PhD thesis on British/French nuclear weapons policy Studies in Political Science (Frankfurt/Southampton), English Literature, and Modern History Research Focus: Humanitarian arms control (landmines, cluster munitions), gender perspectives in peace research, arms export policies, and multilateral treaty negotiations. Her work bridges theoretical research with policy advocacy, emphasizing the intersection of gender justice and security governance. Key Activities: Chair of German Society for Peace Research (since 2021) Co-chair of GKKE Rüstungsexporte Working Group Lead researcher on UNPoA, feminist foreign policy impact analysis, and EU arms control Awards: Ernst-Otto Czempiel Award for outstanding contributions to peace research. Lab/Team: Coordinates PRIF's International Security research group, collaborating with global networks like CBWNet and EDP Network.

Xiaoli LiView profile

Associate Professor

• Unconventional Reservoirs
• Gas Transport in Porous Media
• Phase Behavior Thermodynamics
• +3 more

Dr. Xiaoli Li is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas. Her research laboratory (PVT Lab) focuses on complex fluid behavior in energy systems, with particular emphasis on phase equilibria, gas transport phenomena, and enhanced hydrocarbon recovery techniques. She maintains active research programs in unconventional reservoirs, CO 2 geostorage, hydrate technology, and nanoscale fluid dynamics. Her core research domains include: Confined phase behavior: Thermodynamics of fluids in nanoporous media Gas transport mechanisms: Rarefied flow and apparent permeability modeling Hydrate science: Structure stability and phase boundaries CO 2 utilization: Enhanced oil recovery and geological sequestration Asphaltene dynamics: Precipitation mechanisms in EOR processes Dr. Li teaches across the petroleum engineering curriculum, including core courses: Chemical Engineering Thermodynamics (C&PE 221), Reservoir Engineering (C&PE 327), Well Logging (C&PE 528), and Petroleum Engineering Design (C&PE 628). Her instructional portfolio emphasizes fundamental thermodynamics, reservoir characterization, and practical field applications. Her publication record (35+ articles) demonstrates consistent focus on reservoir thermodynamics and transport phenomena, with recent emphasis on: CO 2 -oil interactions (2020-2023), gas hydrate stability (2020-2022), shale gas transport (2019-2021), and equation of state modifications for confined fluids (2018-2020). Research methodologies combine molecular simulations, experimental studies, and novel thermodynamic modeling approaches.

James M Martin-HaydenView profile

Associate Professor

• Hydrogeology
• Groundwater Modeling
• Environmental Geology
• +3 more

James M Martin-Hayden serves as an Associate Professor in the Department of Earth, Ecological and Environmental Sciences within the College of Natural Sciences and Mathematics at the University of Toledo. With over 25 years of service at the institution, he has established himself as a prominent hydrogeologist specializing in groundwater systems and environmental geology. Education: B.A. from University of Maine, M.S. and Ph.D. from University of Connecticut (1994) Current Position: Associate Professor of Geology Department: Earth, Ecological and Environmental Sciences University: University of Toledo Dr. Martin-Hayden's research focuses on hydrogeology, with particular emphasis on groundwater-surface water interactions in wetland ecosystems, numerical groundwater modeling, and hydrogeologic field methods. His work primarily investigates the Oak Openings Region of northwest Ohio, examining how drainage modifications have altered natural groundwater flow regimes that support wet prairies. He has made significant contributions to understanding wellbore flow dynamics, groundwater sampling methodologies, and the impacts of evapotranspiration on groundwater recharge. His research integrates field observations, numerical modeling, and geophysical techniques to address complex hydrogeological problems. Analysis of Dr. Martin-Hayden's publication record reveals a consistent research trajectory focused on hydrogeological systems, particularly in the Great Lakes region. His work spans from fundamental investigations of wellbore flow dynamics to applied studies of regional aquifer systems and wetland hydrology. Recent publications demonstrate increasing integration of geophysical methods with traditional hydrogeological approaches, reflecting an evolution toward more comprehensive characterization of complex subsurface systems. His research shows particular strength in addressing the hydrological impacts of human modifications to natural systems, especially in wetland ecosystems. Dr. Martin-Hayden has mentored several students, including Lucas Groat (thesis on Hydrogeology of Wet Prairies) and Pryanka More (undergraduate thesis on Influences of ET on Groundwater Recharge). His collaborative work shows strong connections with researchers including Timothy G. Fisher, Kennedy Okioghene Doro, and Richard H. Becker, indicating active participation in research networks focused on Great Lakes geology and hydrogeology.