جست‌وجوی استاد و پژوهشگر

• Macroeconomics
• Financial Stability
• Monetary Policy
• +۶ مورد دیگر

Filippo Occhino is an Associate Professor in the Department of Economics, Finance, and Quantitative Analysis at the Coles College of Business, Kennesaw State University. His research focuses on macroeconomics and financial stability, particularly examining monetary and fiscal policy, financial distortions, and debt overhang crises. His research interests include: Macroeconomic effects of monetary and fiscal policy Financial stability and systemic risk Debt overhang and banking crises Segmented financial markets Corporate taxation and investment Policy evaluation using dynamic models Occhino's recent publications span top journals in economics, with a strong emphasis on policy-relevant macroeconomic modeling. His work analyzes the impact of major events such as the 2017 U.S. tax reform, the Eurozone crisis, and the COVID-19 pandemic. He frequently employs quantitative models and empirical methods to assess the effectiveness of central bank and fiscal interventions. A recurring theme is the interaction between financial frictions and macroeconomic outcomes. His scientific contributions include commentaries for the Federal Reserve Bank of Cleveland and the Bagwell Center, where he analyzes current economic challenges such as the flattening Phillips curve, Basel III capital buffers, and household balance sheets. These policy-oriented writings reflect his commitment to bridging academic research with real-world economic decision-making. Occhino has collaborated with prominent economists such as Andrea Pescatori, Margaret Jacobson, and Eugene White. While no formal advisees are listed, his sustained research output and institutional affiliations indicate active academic engagement. He is affiliated with the Bagwell Center for the Study of Markets and Economic Opportunity, contributing to its mission of promoting market-based economic understanding.

Elizabeth Walkerمشاهده پروفایل

دانشیار

• Audiology
• Hearing Science
• Pediatric Hearing Loss
• +۷ مورد دیگر

Elizabeth Walker is an Associate Professor in the Department of Communication Sciences and Disorders at the University of Iowa, College of Liberal Arts and Sciences. She serves as the Director of Undergraduate Studies and is a Dean's Scholar. Her work bridges clinical audiology and developmental science, focusing on children who are deaf or hard of hearing. Her research investigates how inconsistent auditory access affects language, cognitive, and neural development in children with hearing loss. Using standardized assessments, dynamic learning tasks, dual-task paradigms, and clinical measures, her lab aims to improve evidence-based practices in audiology and speech-language pathology. The recent publications highlight trends in pediatric audiological research, particularly the impact of hearing aid use on neural processing, language and reading outcomes in school-aged children with mild hearing loss, and the role of educational audiologists in early intervention. Key themes include auditory experience, executive function, and the long-term academic implications of hearing loss. Amount of hearing aid use impacts neural oscillatory dynamics (2021) Expanding educational audiologists' roles post-newborn screening (2021) Variation in auditory experience and executive function (2021) Timeliness of EHDI in NICU infants (2020) Language and reading outcomes in mild hearing loss (2020) Dr. Walker is actively involved in federally funded research, including multiple NIH-NIDCD grants. She is the Principal Investigator on a project examining reading comprehension in adolescents with hearing loss and a Co-Investigator on studies developing clinical tools for mild hearing loss and assessing complex listening skills in school-age children. She leads the Pediatric Audiology and Language Lab, which conducts interdisciplinary research on pediatric hearing loss and language development, collaborating with clinicians, researchers, and educators to translate findings into improved clinical care.

• Semantic Web
• Knowledge Graphs
• Linked Data
• +۳ مورد دیگر

Pieter Heyvaert is a Postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and information systems (EA06), affiliated with IMEC. His research focuses on semantic web technologies, knowledge graphs, and linked data systems. Heyvaert's research interests span several areas within computer engineering and semantic technologies: Semantic Web and Linked Data technologies Knowledge Graph generation and validation RDF mapping languages (particularly RML) Data integration from heterogeneous sources Sensor data processing and knowledge extraction Anomaly detection and root cause analysis His publication record demonstrates a consistent focus on practical applications of semantic technologies. Heyvaert has developed tools like the SAD Generator for creating knowledge graphs from academic event data and contributed significantly to RML-based systems. His work bridges theoretical semantic web concepts with practical implementations that address real-world data integration challenges across domains including healthcare, social media archiving, and IoT systems. Heyvaert has collaborated extensively with researchers in the semantic web community, particularly with Anastasia Dimou, Ruben Verborgh, and Ben De Meester. His recent work shows increasing application of semantic technologies to pressing societal issues like pandemic response through the COVID-19 literature knowledge graph.

Jing Aiمشاهده پروفایل

استاد

• Insurance Markets
• Behavioral Insurance
• Risk Management
• +۵ مورد دیگر

Jing Ai is a Professor of Finance, Risk Management and Insurance at the Shidler College of Business, University of Hawaii at Manoa, where she holds the First Insurance Company Distinguished Professorship. She serves as Director of the Ph.D. Program and Faculty Advisor for the Insurance & Risk Management Track. Her academic credentials include a PhD in Risk Management and MS in Information, Risk, and Operations Management from the University of Texas at Austin (2008), and a BS in Finance from Tsinghua University (2003). Research Focus: Professor Ai's interdisciplinary research spans insurance markets, behavioral economics, regulatory frameworks, and quantitative risk modeling. Key areas include: Behavioral dynamics in insurance decision-making Enterprise risk management optimization techniques Advanced fraud detection methodologies Longevity risk and retirement solutions Cyber risk contagion modeling Efficiency in insurance operations Her work integrates actuarial science, finance, and behavioral economics to address contemporary challenges in risk transfer mechanisms. Publication Analysis: Her 15 most recent publications (2009-2022) demonstrate consistent focus on insurance market efficiency, behavioral anomalies in risk-taking, and innovative risk quantification methods. Dominant themes include fraud detection systems (healthcare, financial), behavioral contract design, enterprise risk interdependencies, and specialized risk transfer solutions (cyber, weather, longevity). Methodologies range from theoretical modeling to empirical data analysis using advanced statistical techniques. Awards & Honors: Most Outstanding Journal Article Award - Society of Actuaries (2016) Spencer L. Kimball Writing Award - NAIC (2015) Shidler Faculty Fellow (2012-2014) Shirley M. Lee Research Award (2011) Hagen Family Foundation Award (2009) Academic Leadership: As Ph.D. Program Director, she oversees graduate research development in finance and risk management. Advises students in the Insurance & Risk Management specialization, developing curriculum that bridges theoretical frameworks and industry applications. Teaches core courses including Principles of Insurance, Enterprise Risk Management, and Insurance/Risk Management graduate seminars.

Seth Meyerمشاهده پروفایل

استاد

• Combinatorics
• Linear algebra
• Discrete mathematics
• +۳ مورد دیگر

Seth Meyer is a Professor of Computer Science and Mathematics at St. Norbert College, where he has taught courses in mathematics, math education, and computer science since 2012. He emphasizes building strong student relationships and employs diverse assessment methods to support mathematical and personal development. Meyer has authored 13 research papers and mentored five undergraduate research projects. Education: B.A. in Mathematics and Computer Science (Carleton College) M.A. in Mathematics (University of Wisconsin-Madison) Ph.D. in Mathematics (University of Wisconsin-Madison) Research Focus: Meyer's work spans combinatorics, linear algebra, discrete mathematics, theoretical computer science, inverse problems, and mathematics education. His interdisciplinary approach often involves undergraduate collaborators and addresses challenges in pure and applied mathematics. Publication Trends: Recent articles (2016-2022) reflect a progression from linear algebra and matrix theory to behavioral economics and graph theory, demonstrating consistent emphasis on combinatorial optimization and mathematical modeling. Awards: Leonard Ledvina Outstanding Teacher Award Student Mentorship: Supervised five summer research projects in graph theory, representation theory, and behavioral economics. No grants are explicitly mentioned.

Lorenzo Bastianelloمشاهده پروفایل

دانشیار

• Mathematical Economics
• Decision Theory
• Financial Mathematics
• +۵ مورد دیگر

Lorenzo Bastianello is an Associate Professor at the Department of Economics, Ca' Foscari University of Venice. His research focuses on mathematical economics, decision theory, and financial mathematics, with a particular emphasis on behavioral finance, subjective probability, and nonlinear pricing models. Research Interests: Risk and ambiguity in economic decision-making Cumulative prospect theory applications Arbitrage pricing and market completeness Topological and dynamic approaches to time preferences Publications: His recent work includes analyses of gain-loss hedging, nonlinear pricing rules, and dynamically consistent rationality frameworks in economic theory. Contact: Office hours available via appointment at San Giobbe campus (Office C2.116).

JiHoon Jhangمشاهده پروفایل

استادیار

• Consumer Behavior
• Tourism Marketing
• Digital Marketing
• +۳ مورد دیگر

Dr. JiHoon Jhang serves as an Assistant Professor of Marketing in the Department of Marketing at the University of Central Arkansas's College of Business. His research investigates consumer decision-making processes across tourism, digital marketing, and emerging technology contexts, leveraging behavioral experimental methodologies. His academic credentials include: PhD in Marketing, University of Colorado at Boulder MS in Statistics, Stanford University MS in Marketing, Korea University Business School BBA in Business Administration, Korea University Dr. Jhang's research examines how pandemic threats, childhood socioeconomic status, and price presentation strategies influence consumer choices. His work explores AI's impact on marketing communications, NFT consumer perceptions in luxury markets, and psychological mechanisms behind CSR evaluations and crowdfunding behavior. He frequently employs eye-tracking and controlled experiments to uncover cognitive processes in decision-making. Analysis of his 2022-2025 publications reveals dominant trends in AI applications for tourism marketing, behavioral responses to health crises, and experimental investigations of digital asset consumption. Key methodological approaches include experimental design optimization for hospitality research and neural response measurement through eye-tracking technology. No information regarding student advising, research grants, or scientific awards is provided in available materials.

Haipeng Allan Chenمشاهده پروفایل

استاد

• Behavioral Decision Theory
• Pricing
• Consumer Behavior
• +۴ مورد دیگر

Haipeng Allan Chen is a Professor of Marketing and the Gary C. Fethke Chair in Leadership at the Tippie College of Business, University of Iowa. He has held academic positions at the University of Miami, Texas A&M University, and the University of Kentucky, where he served as Professor and Gatton Endowed Chair in Marketing prior to joining Iowa in 2024. Ph.D. in Business Administration (Marketing), University of Minnesota M.A. in Applied Linguistics, Zhejiang University B.Eng. in Mechanical Engineering (with honors), Shandong University of Technology Dr. Chen’s research bridges Behavioral Decision Theory and Pricing , focusing on consumer and managerial decision-making. His work explores cognitive biases (e.g., sunk cost fallacy), preference perception, and strategic pricing, with interdisciplinary contributions to Behavioral Economics and Consumer Psychology . His recent publications analyze over-diversification effects , hierarchical labeling in pricing plans, and cumulative impact neglect in sequential decisions. These studies span journals like Journal of Consumer Research , Management Science , and Economica , reflecting his cross-disciplinary approach. 2025: Best Paper Award for the Digital and Social Media Marketing Track (AMA) 2024: University of Iowa Research Professor Award 2021: Above and Beyond Award (University of Kentucky) 2016: Texas A&M University Teaching Excellence (University Level) 2007: MSI Young Scholar Dr. Chen serves as Associate Editor for Journal of Consumer Research , Journal of Marketing Research , and Decision Sciences Journal . He has received teaching awards at multiple institutions and presented research at conferences like ACR, Marketing Science, and the INFORMS-Cornell Pricing Conference.

Michael Goedickeمشاهده پروفایل

استاد

• Specification of Software Systems
• Software Architecture
• E-Assessment with Task-Specific Feedback
• +۳ مورد دیگر

Prof. Dr. Michael Goedicke is a faculty member at the University of Duisburg-Essen , holding the Professorship for Practical Informatics / Specification of Software Systems since 1994. His academic career spans over three decades with continuous contributions to software engineering and educational technology.

Lauren Simonمشاهده پروفایل

دانشیار

• Organizational Behavior
• Human Resources Management
• Career Development
• +۷ مورد دیگر

Dr. Lauren Simon is an Associate Professor of Management at the Sam M. Walton College of Business at the University of Arkansas. She earned her Ph.D. in Management with a concentration in Organizational Behavior and Human Resources from the University of Florida, along with a BS in Psychology and BSBA in Management from the same institution. Dr. Simon has a passion for career development and helping students successfully transition into the professional workforce, as well as for partnering with organizations to help them better manage, lead, and engage their workforce. Her research focuses on individual and social factors that influence career success, including individual differences (e.g., personality, ability, and disability), new employee onboarding and adjustment, interpersonal work relationships (particularly among managers and employees), and leadership. Her work has been published in top academic journals including the Journal of Applied Psychology, Personnel Psychology, the Journal of Management, and the Journal of Vocational Behavior, and has been featured in major media outlets such as Science Daily, The Wall Street Journal, CBS News, Economic Times, United Press International, and WebMD. Academy of Management HR Division's Scholarly Achievement Award Southern Management Association's Overall Best Conference Paper Award Innovative Teaching Award from Academy of Management's HR Division David Lepak Service Award from Academy of Management's HR Division Golden Tusk Award from University of Arkansas Division of Student Affairs Practitioner Research Award from American Real Estate Society Dr. Simon is an active member of the Academy of Management, where she volunteers as the webmaster for both the HR and Careers Divisions. She has served on various committees including the AOM HR Division Scholarly Achievement Award Committee. Her research demonstrates a consistent focus on workplace dynamics, leadership, and inclusion, with particular attention to disability in the workplace and employee well-being. Through her teaching and research, Dr. Simon has made significant contributions to understanding how organizations can create more inclusive workplaces that support diverse employee needs while enhancing organizational effectiveness.

Subhajit Chakrabartyمشاهده پروفایل

دانشیار

• Data science
• Machine learning
• Deep learning
• +۸ مورد دیگر

Subhajit Chakrabarty serves as Associate Professor and Director of the Master of Science in Computer Systems Technology program within the Department of Computer Science at Louisiana State University Shreveport's College of Arts & Sciences. He joined LSUS in 2020 after relocating to the USA in 2016 to pursue research in data science and machine learning, bringing three decades of professional experience spanning IT management, government service, and corporate leadership. His educational credentials include: PhD in Computer Science from University of Massachusetts Lowell (2020) PhD in International Business from Indian Institute of Foreign Trade, New Delhi Alumnus of INSEAD (France/Singapore) Chakrabarty's research spans data science, machine learning, deep learning, bioinformatics, cybersecurity, and econometrics, with recent emphasis on biomedical applications of deep learning. His interdisciplinary approach integrates computer science with business analytics, neuroscience, and educational technology, reflecting his dual expertise in technical and business domains developed through extensive industry experience. His publication record from 2016-2022 demonstrates consistent innovation across multiple domains, with significant contributions to ensemble learning for financial forecasting, independent component analysis for high-dimensional data processing, and educational assessment tools for computer science pedagogy. Key trends include the adaptation of transformer networks for stock volatility prediction, novel denoising techniques for sensor data, and evidence-based studies on programming skill development. No scientific awards were documented in the source material. As an educator, Chakrabarty directs the MS in Computer Systems Technology program while teaching core courses including Introduction to Programming, Database Implementation, Machine Learning, and Deep Learning. His prior industry roles as Deputy Commandant in India's Border Security Force and National Security Guard, plus Director of IT & IS in corporate settings, inform his practical teaching methodology and student mentorship approach.

José-Victor Ríos-Rullمشاهده پروفایل

استاد

• Macroeconomics
• Quantitative Macroeconomics
• Economic Policy
• +۷ مورد دیگر

José-Victor Ríos-Rull is the Lawrence R. Klein Professor of Economics at the University of Pennsylvania, where he also serves as Professor of Finance (secondary appointment) and Director of the Penn Institute for Economic Research. His academic career spans multiple prestigious institutions, including the University of Minnesota (where he was Carlson Professor of Economics from 2007-2015) and University College London (where he has been a Professorial Research Fellow since 2017). He received his Ph.D. in Economics from the University of Minnesota in 1990 under the supervision of Nobel laureate Ed Prescott. His research interests cover a broad spectrum of macroeconomic topics with a particular focus on heterogeneity in economic modeling. Key areas include business cycles, labor economics, public finance, health economics, and the distributional effects of economic policies. Ríos-Rull has pioneered the integration of heterogeneous agent models into mainstream macroeconomics, particularly examining how individual differences in wealth, health, and labor market experiences affect aggregate economic outcomes. His work on the distributional consequences of pandemics, sovereign debt, credit scoring, and tax policy has been particularly influential in recent years. Ríos-Rull's scholarly output demonstrates consistent engagement with both theoretical and empirical dimensions of macroeconomics. His recent work shows increasing attention to health economics (particularly pandemic modeling), sovereign debt issues, and the intersection of financial innovation with household behavior. The recurring themes across his publications include the importance of incorporating heterogeneity into macroeconomic models, the analysis of fiscal policy effects across different population segments, and the examination of how various economic frictions affect aggregate outcomes. Economic Theory Fellow of the Society for the Advancement of Economic Theory (SAET), 2017 Honorary member of the Spanish Economic Association, 2008 Fellow of the Econometric Society, 2007 Samuel H. Preston Endowed Term Professor of the Social Sciences, University of Pennsylvania, 2006-2007 Winner of the 2005 Arrow Prize for Senior Economists Ríos-Rull has advised over fifty PhD students across multiple institutions, establishing himself as a significant mentor in the field. His grant history demonstrates sustained research funding, including multiple NSF grants spanning decades. He has organized numerous major conferences and served on editorial boards of top economics journals, including the Review of Economic Studies and the International Economic Review. His teaching portfolio includes advanced graduate courses in quantitative macroeconomics and undergraduate courses in public economics, reflecting his commitment to both research and education.

Lee Kang-iمشاهده پروفایل

استاد

• Child Development
• Parenting Education
• Family Policy
• +۴ مورد دیگر

Lee Kang-i is a full-time Professor of Child and Family Studies at Seoul National University’s College of Human Ecology , where she has been a faculty member since 2002. She currently serves as the Director of the Human Ecology Research Institute and previously held roles such as Head of Early Childhood Education and Vice Dean of Student Affairs . She is also the incoming President of the Korean Society for Child Studies and has served as President of the Korean Society for Human Development . Education: Ph.D. in Consumer and Child Studies, Seoul National University (1998) M.A. in Consumer and Child Studies, Seoul National University (1991) B.A. in Home Economics, Seoul National University (1989) Research Interests: Professor Lee’s research spans child development , parenting education , family policy , and multicultural family dynamics . Her work explores how parent-child relationships , school-family partnerships , and socioeconomic contexts influence children’s social-emotional development , academic achievement , and well-being . She is particularly focused on early childhood education , parental involvement , and policy interventions . Research Trends: Her recent publications examine AI-assisted learning , parental digital mediation , adolescent mental health , and multicultural integration . She employs longitudinal designs , advanced statistical modeling , and big data analytics to understand developmental trajectories and inform evidence-based policies. Awards & Recognition: President, Korean Society for Human Development (2022–2023) Director, Seoul National University Parent Policy Research Center (2015–2020) Editorial Director, Korean Society for Child Studies Advisory roles in Seoul Metropolitan Office of Education and local governments Grants & Projects: She has led or co-led over 20 major research projects funded by the Korea Research Foundation , National Institute for Lifelong Education , and Seoul National University , focusing on child development , parenting programs , and educational policy . Labs & Teams: She leads the Child Development Lab at SNU, collaborating with the BK21 Child Development Project , Childcare Support Center , and Parent Policy Research Center to conduct interdisciplinary research and policy outreach.

Jun Liuمشاهده پروفایل

استاد

• Artificial Intelligence
• Trustworthy AI
• Explainable AI
• +۴ مورد دیگر

Professor Jun Liu is a Professor of Artificial Intelligence and Director of the Artificial Intelligence Research Centre (AIRC) at the School of Computing, Ulster University. With over 270 publications and more than £18 million in research funding, he is a leading figure in artificial intelligence, particularly in trust and explainable AI systems and logic-based reasoning methods. Dr. Liu received his BSc and MSc degrees in Applied Mathematics, and PhD degree in Information Engineering from Southwest Jiaotong University, Chengdu, China, in 1993, 1996, and 1999, respectively. Prior to joining Ulster University, he held postdoctoral positions at The University of Manchester, UK (Feb. 2002 - Dec. 2004) and the Belgian Nuclear Research Centre (SCK*CEN) (Mar. 2000 - Feb. 2002). Professor Liu's research focuses on trust and explainable data-knowledge integrated AI decision models with applications in safety and risk analysis, policy decision making, security/disaster management, and healthcare; and logic and automated reasoning methods for intelligent systems, including resolution-based automated reasoning and lattice-valued logics for handling incomparability, inconsistency, and imprecision. His work spans theoretical foundations to practical applications in smart homes, healthcare, and industrial settings. His recent publications demonstrate a strong trend toward developing more trustworthy and explainable AI systems, with particular emphasis on belief rule-based approaches for handling uncertainty in decision-making. The research spans multiple domains including smart home activity recognition, medical imaging, food quality analysis, and environmental monitoring, showing the versatility and applicability of his methodologies. Ulster University best computer science paper award for 2016 IEEE Senior Member including IEEESMC and IEEECI Fellow of the UK Higher Education Academy Associate Editor of IEEE Transaction on Fuzzy Systems Current Chair of IEEE CIS Emergent Technologies Technical Committee As Director of the Artificial Intelligence Research Centre, Professor Liu has secured significant research funding as principal investigator and co-investigator. His current projects include "The use of Agentic AI in judicial decision-making" funded by EPSRC and "Adaptive Modeling Method for Deep Belief Rule Base" for smart home applications. He serves on editorial boards of multiple high-impact journals and organizes international conferences including the 23rd UK Workshop on Computational Intelligence. The Artificial Intelligence Research Centre under Professor Liu's leadership focuses on developing cutting-edge AI methodologies with practical applications. The center collaborates extensively with industry partners including BT through the BTIIC Phase 2 initiative and PwC through their Advanced Engineering and Research Centre, ensuring research has real-world impact across multiple sectors.

• Multidisciplinary Design Optimization
• Reliability-Based Design Optimization
• Finite Element Analysis
• +۷ مورد دیگر

Dr. Samy Missoum is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona's College of Engineering. His academic career spans over two decades with continuous research and teaching contributions in multidisciplinary design optimization, reliability-based design, and computational mechanics. He has maintained an active teaching schedule offering graduate-level courses including Finite Element Methods, Design Optimization, and Advanced Finite Element Analysis through Fall 2025. Dr. Missoum's research focuses on Multidisciplinary Design Optimization, Reliability-Based Design Optimization, Finite Element Analysis, Probabilistic Design, Structural Dynamics, and Aeroelasticity. His work bridges theoretical developments with practical engineering applications, particularly in handling uncertainty in complex systems. He has pioneered approaches using Support Vector Machines for engineering design problems, especially for discontinuous responses and multiple failure modes. His research has significant applications in aerospace structures, mechanical systems, and renewable energy technologies. His recent publications (2022-2024) demonstrate a strong focus on reliability assessment of uncertain systems subjected to random vibrations, stochastic optimization of nonlinear energy sinks, and thermal optimization for concentrated solar power systems. His work employs sophisticated computational approaches including surrogate modeling, multi-fidelity methods, and advanced optimization techniques to address complex engineering problems with uncertainty. Dr. Missoum's scholarly achievements have been recognized through several awards including being named an Associate Fellow of the American Institute of Aeronautics and Astronautics (2017) and receiving the 'Most Helpful to Their College Education' award from AME Seniors (2014). He was also invited as a Professor at Ecole Centrale in Marseille, France during 2021. His research has been consistently supported by grants that enable his work on structural reliability, optimization under uncertainty, and multidisciplinary design. He maintains active collaborations with researchers both nationally and internationally, as evidenced by his co-authored publications with scholars from various institutions. Dr. Missoum leads the CODES Laboratory at the University of Arizona, which focuses on Computational Optimization and Design under uncertainty. The laboratory conducts research on reliability assessment, multidisciplinary design optimization, and development of novel computational methods for engineering design problems with complex constraints and uncertainties.