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Pontus LeanderView profile

Associate Professor

• Social Psychology
• Motivation in Social Contexts
• Conflict Studies
• +3 more

Pontus Leander is an Associate Professor of Social Psychology and Saperstein Endowed Professor of Science, Technology, Peace, and Public Policy at Wayne State University's College of Liberal Arts and Sciences. He directs the Center for Peace and Conflict Studies. Leander holds a PhD from Duke University (2009) and focuses on motivational processes in social contexts , particularly how thwarted goals influence aggression, norm compliance, and conflict dynamics. His work integrates behavioral experiments with large-scale surveys to address societal issues like violence prevention, pandemic responses, and public policy implications. Key research areas include: Psychological reactance and noncompliance Threat perception and defensive behavior Cross-national comparisons of crisis responses Gun ownership motivations and cultural contexts Leander's recent publications analyze pandemic-related attitudes, conflict support, and the interplay between economic stress and conspiracy beliefs. His research frequently employs machine learning and longitudinal designs to identify predictors of health behaviors and social cohesion during crises. He teaches courses on social psychology, interdisciplinary research methods, and industrial/organizational psychology. Leander's work has been cited in media discussions about anti-Tesla protests, holiday conflict management, and perceptions of hate crimes.

Guido BaltussenView profile

Professor

• Behavioral Finance
• Financial Markets
• Factor-based Investing
• +7 more

Guido Baltussen is Full Professor in Finance at Erasmus School of Economics, Erasmus University Rotterdam, holding the Chair in Behavioral Finance and Financial Markets. He is also a fellow at the Tinbergen Institute and ERIM, recognized as high-performance research centers. His academic work is complemented by a professional role at Northern Trust Asset Management, where he leads quantitative investment strategies in equities and fixed income. His research expertise spans Behavioral Finance , Market Anomalies , Factor-based Investing , Asset Pricing , and Investor Decision-Making . He investigates how psychological factors influence financial markets, with a focus on portfolio construction and the performance of factor premiums across global markets. His recent publications reveal a strong trend in analyzing long-term financial datasets, market inefficiencies, and the practical application of behavioral insights in investment strategies. He combines rigorous empirical analysis with experimental methods, often leveraging real-world data from financial markets and game shows to test economic theories. Outstanding Investment Paper award, Eastern Finance Association (2012) Second prize, Quantpedia Awards (2025) Guido advises graduate students through a master's seminar in 'Behavioral Investing' and has contributed to practitioner knowledge via columns for IEX.nl and publications in the Financial Analyst Journal and Journal of Portfolio Management . His research has been supported by robust datasets spanning over 150 years, reflecting deep engagement with both historical and contemporary financial phenomena. He has collaborated extensively with institutions and professionals in the asset management industry, bridging academic rigor with practical investment solutions. He leads a research team focused on behavioral finance and quantitative strategies, contributing to both academic knowledge and industry innovation. His work continues to explore the boundaries between behavioral theory and market outcomes, with ongoing projects in global factor investing and bond return predictability.

Ted SandersView profile

Professor

• Discourse Studies
• Cognitive Linguistics
• Language Acquisition
• +5 more

Prof. Ted Sanders is a Professor of Dutch Language Use and Discourse Studies at the Department of Languages, Literature and Communication, Faculty of Humanities, Utrecht University. Since June 2024, he serves as Vice Rector of Research, representing Utrecht University in international networks like LERU and Coimbra Group. His roles include overseeing young researchers' development, research quality assurance, and interdisciplinary initiatives such as the Medical Humanities MSc program. Previously, he held leadership positions including Vice Dean for Research and Impact (2022-2024), Dean of the Graduate School of Humanities (2016-2022), and Head of his department (2012-2016). His research focuses on discourse coherence, cognitive linguistics, and text readability. Key projects include the NWO-VICI grant (2005-2011) on causality and subjectivity in discourse, and the EU Marie Curie IRSES grant (2012-2015) examining bilingualism and language impairment. He co-led the national 'Comprehensible Language and Effective Communication' initiative (2011-2016) and developed the LIN readability tool. His work integrates corpus analysis, experimental methods (e.g., eye-tracking), and computational models to study how language structures affect comprehension and communication. Research areas include cognitive processing of connectives, bilingual language acquisition, and optimizing educational and governmental texts for readability. He edited special issues in journals like Cognitive Linguistics and Journal of Pragmatics , and co-authored books such as Text Representation and Causal Categories in Discourse and Cognition . Major awards include the NWO-VICI grant and the Marie Curie IRSES grant. His grants and leadership roles reflect a commitment to advancing research strategy, open science, and interdisciplinary collaboration. He advises on doctoral programs and has supervised projects on VMBO students' reading comprehension and discourse coherence in multilingual education. His work impacts language policy, translation technology, and educational practices in the Netherlands and beyond. He is affiliated with the Institute for Language Sciences (ILS), and collaborates internationally with institutions like Zentrum für Allgemeine Sprachwissenschaft (Berlin) and Radboud University Nijmegen. His research bridges theoretical linguistics with practical applications in education, healthcare communication, and digital literacy, aiming to improve text accessibility and reduce misdiagnosis in bilingual children's language development.

George ChryssochoidisView profile

Professor

• Consumer Behavior
• Innovation Adoption
• New Product Development
• +4 more

Professor George Chryssochoidis is a distinguished academic at the University of Essex within the Essex Business School 's Strategy, Operations and Entrepreneurship department. With over 30 years of global experience, his research focuses on consumer behavior , innovation adoption , and new product development . PhD in Industrial and Business Studies, University of Warwick (1997) MPhil in Management, University of Bath DESS, University of Paris BSc in Business Administration, University of Piraeus His work spans synthetic biology for sustainable fuels (2024 NSF $10M Global Centres grant), energy efficiency policy (UKERC, UKRI), and food safety innovation (EU FP6/FP7 projects). Current teaching includes Consumer Behaviour (BE516) and Digital Marketing and Social Media (BE534) . Recent publications highlight applications of machine learning and data analytics in digital marketing , construal level theory in counterfeit consumption , and value-based segmentation in organic food marketing . His 49+ refereed articles demonstrate cross-disciplinary impact (18.2% top 10% cited, 44.4% top 10% CiteScore). NSF Global Centres Grant (2024) for sustainable synthetic biology fuels SciVal Top 10% Cited Publications (2024) Supervises PhD candidate Soyul Ahn and has led major initiatives like the ASAP Alliance and FLABEL project on food labeling. Research integrates psychometric modeling , econometric analysis , and stakeholder mapping across EU, UK, and Greek institutions.

Paul RobinetteView profile

Associate Professor

• Human-Robot Interaction
• Trust in Autonomous Systems
• Multi-Robot Coordination
• +4 more

Paul Robinette serves as Associate Professor and Associate Chair for Master of Science Programs in the Electrical and Computer Engineering Department at the Francis College of Engineering, University of Massachusetts Lowell. He maintains significant affiliations with the Printed Electronics Research Collaborative (PERC) and the Raytheon UMass Lowell Research Institute (RURI), where his robotics research integrates printed electronics for field-deployable systems. His office resides in Ball Hall's third floor, with primary contact at Paul_Robinette@uml.edu. Dr. Robinette earned his Ph.D. from the Georgia Institute of Technology, establishing his foundation in robotics and human-systems engineering. This academic background directly informs his experimental approach to human-robot interaction challenges. His research centers on trust dynamics in human-robot teams, particularly examining how moral violations versus performance failures impact trust retention. He investigates drone appearance effects on trust calibration, multi-robot coordination during search and rescue, and trust recovery mechanisms after system malfunctions. His experimental work spans marine environments using platforms like Robowhaler, subterranean scenarios, and emergency evacuation simulations—consistently bridging theoretical AI frameworks with real-world human factors. Analysis of his 2023-2025 publications reveals three dominant trends: 1) Quantitative validation of trust metrics across simulation and reality, 2) Development of relational network architectures for resilient multi-agent teams, and 3) Ethical frameworks for moral trust violations in autonomous systems. His work uniquely integrates reinforcement learning with psychological models to create beneficent AI systems that respect human trust boundaries. As Associate Chair for Master's Programs, Dr. Robinette oversees graduate curriculum development and student mentorship within electrical and computer engineering. His research leadership through PERC and RURI facilitates cross-disciplinary collaboration between robotics, printed electronics, and defense applications—though specific grant details remain unspecified in available materials. He directs experimental robotics teams developing platforms such as Robowhaler for marine autonomy and dataset collection. His lab maintains the publicly available Aquaticus dataset for human-robot teaming research and contributes to standardization efforts like the DECISIVE Test Methods Handbook for subterranean robotics evaluation. Current projects focus on real-world trust validation in navigation deviation scenarios and moral trust repair protocols.

Carly JohncoView profile

Associate Professor

• Anxiety Disorders
• Cognitive Behavioral Therapy
• Child Development
• +6 more

Carly Johnco is an Associate Professor in the School of Psychological Sciences at Macquarie University and a registered Clinical Psychologist. She holds an NHMRC Emerging Leader Fellowship and serves as Deputy Director of Research at the Macquarie University Lifespan Health & Wellbeing Research Centre, integrating interdisciplinary research across Psychology, Medicine, and Education. Her work focuses on anxiety disorder mechanisms across childhood, adolescence, and older adulthood, emphasizing fear extinction learning, cognitive biases, and family dynamics. She completed her PhD and Masters at Macquarie University, followed by postdoctoral fellowships at the University of South Florida and Macquarie. Research interests include optimizing exposure therapy, family accommodation in mental health, and age-appropriate assessment methods. She supervises 18+ students, with completed theses addressing topics like cognitive restructuring in youth and family accommodation in older adults. Her 99+ publications explore anxiety treatment efficacy, repetitive negative thinking, and sleep disturbances. Awards include the Alastair Heron Prize (2023) and Early Career Research Awards (2018–2019). Johnco leads editorial roles for the Australian Psychologist and Bulletin of the Menninger Clinic , and serves on NHMRC grant review panels. Current projects address translational neuroscience in anxiety treatment for older adults and culturally adapted interventions for Chinese-speaking populations. She also chairs the APS Psychology and Ageing Interest Group, advocating for mental health literacy and stigma reduction.

• Behavioral economics
• Experimental economics
• Genoeconomics
• +4 more

Prof. Songfa Zhong is a Professor of Economics at Hong Kong University of Science and Technology and National University of Singapore (on leave 2023-2024). His research focuses on behavioral economics, experimental economics, genoeconomics, and neuroeconomics. He holds a PhD from HKUST and a BA from Peking University. His work explores decision-making under uncertainty, gender differences in competitiveness, and the genetic and neural bases of preferences. Research Interests: Behavioral economics: Moral behavior in uncertain environments, source preference, and intertemporal choice Experimental economics: Design of choice-list elicitation, lab-in-the-field experiments Genoeconomics: Genetic influences on risk-taking, familiarity bias, and social preferences Neuroeconomics: Brain mechanisms linking decision-making to stress, amygdala activation, and biomarkers Key Contributions: Recent work includes studies on GPT's economic rationality, physician decision path dependency, and the role of visceral influences in gender competitiveness gaps. His experiments often combine behavioral data with genetic and neuroimaging techniques. Advising & Grants: Supervised numerous lab experiments with funding from Singapore Ministry of Education (e.g., R-122-000-325-115). Collaborates internationally on projects like China's Gaokao gender analysis and Olympic athlete stress studies. Labs/Teams: Leads interdisciplinary teams analyzing decision-making at the intersection of economics, neuroscience, and genetics. Active in HKUST's behavioral economics research networks.

Donald WeddingView profile

Associate Professor

• Generational Differences in the Workplace
• Human Resources Management
• Workplace Diversity
• +5 more

Dr. Donald Wedding is an Associate Professor in the Department of Management at the University of Toledo, affiliated with the John B. and Lillian E. Neff College of Business and Innovation. Masters of Business Administration (MBA), University of Toledo, 1968 Doctor of Jurisprudence, American University, 1964 Masters, University of Louisville, 1962 Bachelors, University of Louisville, 1957 His research focuses on generational differences in the workplace, employer practices, and legal compliance in HR policies. Areas include: Millennial retention strategies Transgender inclusion and diversity initiatives FLSA and FMLA legal liabilities Workplace drug screening reforms Telecommuting accommodations under ADA Recent publications examine electronic lawsuit service, password disclosure policies, and EEOC-driven hiring reforms. Key journals include the Journal of Compensation and Benefits and HR: Advisor. His work integrates labor law, organizational behavior, and HR policy optimization to address evolving workforce expectations.

• Applied Data Science
• Human-centered Artificial Intelligence
• Privacy in Collaborative Systems
• +4 more

Dr. Onuralp Ulusoy is a Researcher at Utrecht University's Faculty of Science, specifically within the Software Technology for Learning and Teaching department. Based at the Buys Ballot Building in Utrecht, he focuses on the intersection of privacy, artificial intelligence, and collaborative systems. His research spans Applied Data Science and Human-centered Artificial Intelligence, with particular emphasis on privacy mechanisms in online environments. Ulusoy's work explores how privacy norms emerge and can be managed in collaborative settings, especially within social networks. His publication record shows a clear trajectory in privacy research, evolving from foundational work on privacy auctioning mechanisms to more recent applications in learning analytics. His most cited work, 'PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy' (2022), demonstrates practical applications of his theoretical frameworks. Recent publications indicate an expansion into educational technology with tools like 'mAIchart' for primary school educators. As a researcher at Utrecht University, Ulusoy has established himself as a specialist in privacy-preserving collaborative systems, with publications spanning top conferences in multi-agent systems, access control, and social network analysis.

• Online Communication
• Computational Linguistics
• Social Psychology
• +3 more

Dr. Tess van der Zanden serves as Assistant Professor in the Department of Languages, Literature and Communication within Utrecht University's Faculty of Humanities. Her research focuses on language use in digital contexts, particularly examining impression formation through online dating profiles. She employs multimethod approaches combining textual analysis, experimental studies, and computational linguistics to investigate how linguistic features affect social perceptions. Her primary research interests include online communication dynamics , language error impacts in digital interactions, and creativity in profile construction . Van der Zanden's work reveals how metaphor usage, concrete self-disclosure, and grammatical accuracy significantly influence perceived intelligence, humor, and romantic attractiveness. Her studies demonstrate that original yet appropriate profile texts generate higher dating interest compared to conventional or error-ridden content. Analysis of her publication record shows consistent focus on Multimodal impression formation (text+image interactions) Relationship goal signaling through language Cross-cultural error perception in dating contexts Quantitative analysis of rejection patterns Computational modeling of profile effectiveness Her research has generated significant international media attention including coverage in The Guardian , The Times , and De Standaard , with particular focus on how grammatical errors harm dating prospects and how original phrasing increases attractiveness. Van der Zanden teaches courses including Communication, Media and Interaction, and coordinates BA/MA theses in Communication Studies.

• Music Psychology
• Music Cognition
• Auditory Memory
• +4 more

Dr. Tim Byron is a Lecturer in the School of Psychology at the University of Wollongong, Faculty of the Arts, Social Sciences and Humanities, where he has held academic appointments since 2018. His research focuses on the intersection of music psychology and cognitive processes, particularly examining how musical structures interact with memory systems and expectation formation. His educational background includes a PhD from Western Sydney University (2004-2009), which provided the foundation for his specialized work in music cognition. This training is evident in his methodologically rigorous approach to studying auditory phenomena. Byron's research program centers on music cognition with particular emphasis on earworm phenomena, musical hooks, and the physiological responses to musical expectation violations. His work demonstrates how musical elements like vocals, compound hooks, and choruses enhance memorability through complex interactions between auditory processing and memory systems. Recent investigations have explored autonomic responses to rhythm changes using heart rate variability measurements, revealing the deep physiological embedding of musical processing. Analysis of his publication trends shows consistent output across multiple formats including high-impact journal articles, book chapters, and media contributions. His work spans fundamental cognitive processes in music perception to applied analyses of contemporary streaming habits and chart music evolution. The 2022 book "Hooks in Popular Music" represents a significant synthesis of his research on musical catchiness factors. Byron actively supervises doctoral research with five current students working on topics including cardiac responses during music listening, philosophical pitch analysis, and mental health in music performance students. His teaching portfolio includes coordinating the History and Philosophy of Psychology course while offering supervision in music psychology and cognition. His leadership roles include serving as Head of Students since February 2023 and regular media engagement through The Conversation, ABC broadcasts, and international conference presentations. This public scholarship demonstrates effective translation of complex cognitive concepts for broader audiences.

Evan MunroView profile

Assistant Professor

• Causal Inference
• Econometrics
• Market Design
• +5 more

Evan Munro serves as an Assistant Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. His academic career bridges economics, statistics, and computer science with a focus on methodological innovation for real-world market applications. Education Background: PhD in Economics, Stanford University MPhil in Economics with distinction, Nuffield College, University of Oxford BA in Economics and Computer Science-Mathematics, Columbia University Research Focus: Munro specializes in causal inference and experimental design within strategic market environments. His work develops novel methodologies for estimating treatment effects when traditional assumptions are violated by market interactions. Key contributions include frameworks for analyzing spillover effects in centralized allocation mechanisms and dynamic treatment allocation under budget constraints. His research combines machine learning techniques with econometric theory to address challenges in online platforms, environmental markets, and school matching systems. Methodologically, he integrates game-theoretic equilibrium concepts with causal inference to develop estimators that account for strategic behavior and market feedback loops. Research Trends: Analysis of his publication trajectory reveals increasing focus on equilibrium effects in treatment evaluation, with recent work developing doubly-robust estimators for global treatment effects in market settings. His research increasingly incorporates machine learning tools for policy optimization while maintaining rigorous statistical guarantees. The shift from theoretical frameworks toward practical implementation in complex market systems characterizes his evolving research program. Scientific Recognition: Winner of MIT Sports Analytics Research Competition (2020) for work on tournament design and inequality reduction Professional Background: Prior to joining Chicago Booth, Munro held the position of Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. His transition from statistics to business school reflects the applied nature of his research, which directly addresses challenges in market design and policy implementation.

Connor EsterwoodView profile

Assistant Professor

• Trust Repair
• Human-Robot Interaction
• Artificial Intelligence
• +6 more

Connor Esterwood serves as Assistant Professor in the Department of Technology, Information Systems, and Analytics at Wayne State University's Mike Ilitch School of Business, joining the faculty in August 2025. His interdisciplinary work bridges human-robot interaction, artificial intelligence, and organizational behavior to optimize human-machine collaboration in professional settings. His educational foundation includes: Ph.D. in Information (Human-Robot Interaction concentration), University of Michigan, 2025 M.S. in User Experience and Assessment, University of Tennessee, Knoxville, 2018 B.A. in International Relations, University of North Carolina at Asheville, 2013 Dr. Esterwood's research centers on the lifecycle of trust in robotic systems, specializing in trust repair mechanisms following violations through strategies like apologies, denials, and expectation management. His work examines how individual differences and contextual factors influence trust dynamics in collaborative environments, with significant contributions to meta-analytic methods in human-robot interaction. This research provides critical design principles for preventing over-trust in automated systems while enhancing safety in human-machine teams. His 30+ publications since 2019 demonstrate consistent focus on trust repair meta-analyses (2023-2025), embodied robotics comparisons (2025), and security/autonomous vehicle applications (2023-2024). Recent work emphasizes experimental rigor through open-source platforms like the Warehouse Robot Interaction Sim, addressing replicability challenges while exploring trust dynamics across diverse modalities and risk scenarios. Dr. Esterwood has secured international research funding supporting his investigations into ethical trust manipulation and safety-critical human-robot collaboration. His teaching portfolio includes graduate courses on emerging technologies and business information systems, with anticipated mentorship of master's students in human-centered AI design. Current initiatives involve developing standardized reporting frameworks for HRI studies and extending trust models to essential worker contexts, particularly in warehouse automation and security robotics.

Reza AhmadzadehView profile

Associate Professor

• Robot Learning
• Human-Robot Interaction
• Machine Learning
• +6 more

Reza Ahmadzadeh is an Associate Professor at the Miner School of Computer & Information Sciences within the Kennedy College of Sciences at the University of Massachusetts Lowell . He directs the PeARL Lab (Persistent Autonomy and Robot Learning), focusing on robot learning algorithms for autonomy and human-robot interaction. Ph.D. in Robotics, Cognition, and Interactive Technologies (2015) - University of Genoa & Italian Institute of Technology His research spans Robot Learning , Reinforcement Learning , and Learning from Demonstration , with applications in Autonomous Underwater Vehicles , Mobile Manipulation , and Humanoid Robotics . His lab has produced 15+ recent papers on topics like skill generalization , malfunction recovery , and trust modeling , leveraging both geometric and probabilistic approaches. Scientific contributions include: NSF CAREER Award (2019) Multiple best paper awards at robotics conferences Microsoft Robotics Ph.D. Scholarship (2011) He has mentored numerous graduate students who have defended theses in areas such as: Quadruped stability analysis Exoskeleton control adaptation Human-robot trust studies The PeARL lab collaborates with local robotics companies in Massachusetts' high-tech corridor, and maintains active research programs in: Autonomous underwater manipulation Visuospatial skill learning Reactive behavior learning Trust modeling in human-robot teams

• Clinical Psychology
• Cognitive Behavioral Therapy
• Obsessive-Compulsive Disorder
• +3 more

Björn Elsner is a scientific collaborator at the Institute of Psychology , Humboldt University of Berlin , specializing in Clinical Psychology with a focus on Obsessive-Compulsive Disorder (OCD) and its treatment mechanisms. He works within the Faculty of Life Sciences , contributing to research on cognitive-behavioral therapy (CBT) efficacy, neuroimaging biomarkers, and psychological treatment optimization. Research Interests : Cognitive-behavioral therapy mechanisms, OCD treatment resistance, neural correlates of performance monitoring, emotional reactivity, epigenetic factors in OCD, and exposure therapy outcomes. Key Article Trends : Recent work (2020–2024) emphasizes OCD treatment predictors, neuroimaging-based outcome modeling, fear/safety learning dynamics, and the role of habituation and expectancy violation in therapy success. Collaborations span neuroscience, psychiatry, and psychopharmacology. Contact : bjoern.elsner@hu-berlin.de | Room 0'225, Rudower Chaussee 18, 10099 Berlin | Phone: (030) 2093-98766