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Qiaoning Carol ZhangView profile

Assistant Professor

• Human-AI Collaboration
• Human-Robot Interaction
• Human Factors in Automated Vehicles
• +4 more

Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.

Gaja JaroszView profile

Professor

• Phonological Theory
• Computational Linguistics
• Language Acquisition
• +5 more

Gaja Jarosz is a Professor & Chair of Graduate Admissions in the Department of Linguistics at the University of Massachusetts Amherst, located in the Integrative Learning Center (ILC N410). She holds a PhD in Cognitive Science from Johns Hopkins University and a BA in Mathematics and Social Thought from Washington University in St. Louis. Her research focuses on phonological theory, computational linguistics, and language acquisition, particularly how sound systems and their acquisition can be modeled computationally. She develops formal systems informed by phonological theory and grounded in statistical learning, exploring hidden phonological structure, lexical-grammatical interactions, and learning biases. Since 2015, her work integrates experimental methods with computational modeling. Her publications span computational phonological learning, parametric stress systems, and experimental studies of phonological acquisition. Notable contributions include analyzing Polish phonotactics, stress learning mechanisms, and the role of distributional cues in word segmentation. She co-founded the Society for Computation in Linguistics (SCiL) and organizes conferences like ACL and SCiL workshops. Her research is supported by grants (not explicitly listed) and involves collaborations with scholars like Aleksei Nazarov, Joe Pater, and J. Alex Johnson. She contributes to software tools (e.g., NECPhon) and has taught courses on phonology and computational linguistics.

• Systemic Risk
• Financial Risk Management
• Credit Scoring
• +4 more

Christophe Hurlin is a Professor at the University of Orleans specializing in finance, risk management, and econometrics. His research spans systemic risk measurement, credit scoring models, machine learning applications in finance, and computational reproducibility in financial research. With over 30 scholarly publications, he has established himself as a significant contributor to financial econometrics and risk management literature. His primary research interests focus on systemic risk measurement methodologies, credit scoring models incorporating machine learning techniques, and the reproducibility of financial research findings. Hurlin's work often bridges theoretical econometric frameworks with practical financial applications, particularly in banking regulation and risk modeling. He has developed innovative tools such as the Risk Map for validating risk models and has contributed significantly to understanding systemic risk through comprehensive surveys and comparative analyses of risk measures. Hurlin's publication record shows a clear evolution from traditional risk measurement techniques toward integrating machine learning approaches in finance, with recent work focusing on the fairness of credit scoring models, Bayesian approaches to default probability calibration, and the intersection of machine learning with regulatory capital requirements. His research demonstrates consistent engagement with both theoretical underpinnings and practical applications in financial risk management. Hurlin has collaborated extensively with researchers across Europe, particularly with colleagues from HEC Paris (notably Christophe Pérignon), creating a substantial body of work on systemic risk, credit scoring, and computational reproducibility. His most cited works include 'Where the Risks Lie: A Survey on Systemic Risk' and 'Nonstandard Errors,' reflecting his influence in both risk management and methodological research. His research has practical implications for banking regulation, financial stability monitoring, and the implementation of machine learning in credit assessment systems. Through his work on computational reproducibility, Hurlin has also contributed to improving research standards in financial economics, advocating for greater transparency and verification in published findings.

J. Rod FranklinView profile

Professor

• Supply Chain Management
• Logistics
• Physical Internet
• +6 more

Prof. J. Rod Franklin, PhD is a Full Professor of Logistics and Academic Director of Executive Education at Kühne Logistics University (KLU) in Hamburg, Germany. With an extensive background spanning both academia and industry, Professor Franklin brings deep practical experience to his academic role. He has held significant leadership positions at KLU, including Dean of Programs, and was instrumental in the university's planning stages as he states: "KLU is near and dear to my heart, because I was one of the individuals that helped plan the university." His unique blend of academic rigor and industry expertise makes him a central figure in KLU's mission of providing world-class logistics education and research. Professor Franklin's academic foundation is impressive: Doctorate of Management, Case Western Reserve University, USA (2000) Master of Business Administration, Harvard Graduate School of Business, USA (1979) Master of Science in Mechanical Engineering, Stanford University, USA (1975) Bachelor of Science in Mechanical Engineering, Purdue University, USA (1974) His research focuses on applying modern management techniques to supply chain operations, with pioneering work in sustainable business models, green logistics, corporate social responsibility, and cloud-based supply chain management. Professor Franklin is a leading authority on the Physical Internet concept, which seeks to revolutionize logistics through interconnected systems inspired by the digital internet. His research consistently bridges theoretical frameworks with practical industry applications, addressing critical challenges in modern logistics networks while promoting sustainability and efficiency. Professor Franklin's publication record over the past two decades reveals a clear evolution from traditional logistics service innovation toward cutting-edge research on the Physical Internet, predictive analytics, and big data applications in supply chains. His recent work demonstrates increasing emphasis on urban logistics solutions, sustainability challenges, and the integration of digital technologies with physical logistics networks. His seminal 2020 paper "From the Digital Internet to the Physical Internet" has significantly advanced the conceptual framework for this emerging field, while his 2024 protocol design work continues to push the boundaries of practical implementation. Professor Franklin leads significant research initiatives including "Accelerating the Path Towards Physical Internet - SENSE," "Internet of Food and Farm 2020," and "URBANE - Upscaling innovative green urban logistics solutions." His work has been published in top-tier journals including Journal of Business Logistics, IEEE Transactions on Systems, Man and Cybernetics, and International Commerce Review, demonstrating substantial scholarly recognition. While specific individual awards aren't detailed in available information, his leadership in major funded research projects indicates significant institutional support for his work. As Academic Director of Executive Education at KLU, Professor Franklin oversees programs that effectively bridge academic theory with industry practice. His teaching portfolio includes MBA courses on Critical Thinking, Design Thinking, Managing Multiple Complex Expectations, and Systems Thinking - all emphasizing practical application of theoretical concepts. His extensive industry background, including executive roles at Kühne + Nagel and other major logistics firms, directly informs his approach to academic supervision and executive education. Professor Franklin has successfully secured research funding for multiple projects focused on sustainable logistics innovation, demonstrating his ability to translate theoretical concepts into impactful research initiatives. Professor Franklin leads collaborative research teams focused on the Physical Internet concept and its applications in modern logistics. Through projects like SENSE and URBANE, he works with international researchers, industry partners, and policymakers to develop innovative solutions for sustainable urban logistics. His research integrates expertise from computer science, operations research, and business management to address complex supply chain challenges. The BizSLAM App, developed as part of his work on multi-level SLA management, exemplifies his team's ability to create practical tools with direct industry applications, demonstrating the real-world impact of his research vision.

Jeffrey GavornikView profile

Assistant Professor

• Cortical circuits
• Synaptic plasticity
• Neural representation of time
• +3 more

Jeffrey Gavornik is an Assistant Professor of Biology Education at Boston University's College of Arts & Sciences, Department of Biology. He leads the Gavornik Lab, focusing on understanding synaptic plasticity mechanisms underlying cortical function and predictive neural processing. His research integrates experimental and computational approaches to study how experience shapes neural circuits, particularly in visual cortex regions. PhD: University of Texas at Austin Email: gavornik@bu.edu Phone: (617) 358-0444 Research Interests: Cortical circuits, synaptic plasticity, neural representation of time, and visual perception. His lab explores how past experiences influence predictive coding in sensory cortices, using mouse models and optogenetic techniques. Recent work includes studies on M2 receptor roles in sequence learning and estrous cycle effects on visual plasticity. Publications span topics like neural error signaling in V1, ketamine's role in cortical plasticity, and computational models of temporal coding. The lab collaborates widely, with publications in Neuron , Cell Reports , and Current Biology . Positions available: Undergrad/PhD/postdoc opportunities in lab techniques, behavioral neuroscience, and computational modeling.

• Behavioral medicine
• Expectation optimization/violation
• Psychoneuroimmunology
• +7 more

Viviane Compère is a researcher and PhD trainee at Philipps University of Marburg, affiliated with the School of Psychology and the Clinical Psychology and Psychotherapy department under Prof. Dr. Rief. Her roles include being an IPAM trainee and a therapist at the Psychotherapy-Ambulanz Marburg (PAM). She has pursued international academic training across the Netherlands, Denmark, and Germany. Education: PhD in Psychology (Dr.rer.nat.), ongoing since March 2023, Philipps University Marburg Master of Science in Psychology, Maastricht University (2020–2023), with a thesis on micro-arousals in age-related cognitive decline Bachelor of Science in Psychology, Tilburg University (2017–2020), with a thesis on maternal mindfulness and postpartum bonding Research interests span behavioral medicine , expectation optimization/violation , psychoneuroimmunology , stress , and chronic pain . Her work bridges clinical psychology with neuroscience, focusing on cognitive and physiological interactions. Awards: Promotionsstipendium (PhD scholarship) at Philipps University Marburg Professional experience includes internships at Copenhagen University's Center for Translational Neuromedicine and the University Hospital Cologne. She has also worked as a student assistant at Maastricht University and Tilburg University. Labs/teams: Active in the Arbeitsgruppe (AG) Rief and the PAM (Psychotherapie-Ambulanz Marburg) , contributing to clinical and translational research.

Ahmad SiddiqueiView profile

Assistant Professor

• Leadership
• Project Management
• Sustainable Business
• +4 more

Ahmad Siddiquei serves as an Assistant Professor in Management at Bond Business School, Bond University, Australia, where he conducts research at the intersection of leadership theory and sustainable business practices. His academic roles include editorial board membership for Frontiers in Psychology and active participation in the Academy of Management. His educational background comprises a Ph.D. in Management from Bond University (awarded June 2019), an MBA (awarded March 2011), and a BBA-IT (Hons.) in Business and Information Technology from Bahauddin Zakariya University, Pakistan (awarded August 2009). Siddiquei's research centers on leadership dynamics within project teams, with specialized focus on temporal leadership, servant leadership in construction, and sustainable leadership across tourism, IT, and construction sectors. His work explores how green inclusive leadership drives eco-innovation through knowledge management and CSR communication, while examining stress-inducing aspects of inclusive leadership and resilience mechanisms in high-pressure environments. Analysis of his 39 research outputs (2014-2025) reveals consistent thematic progression from foundational leadership studies toward contemporary applications in sustainability and digital transformation, with recent publications heavily emphasizing construction industry applications and green innovation pathways across multiple sectors. He actively supervises doctoral research, inviting proposals focused on leadership impact with clear managerial implications, particularly in servant leadership and ethical leadership domains within project team contexts.

Patricia NorbergView profile

Professor

• Consumer Behavior
• Privacy
• Health Marketing
• +3 more

Patricia Norberg is a Professor of Marketing at Quinnipiac University, holding a BS, MBA, and PhD from the University of Rhode Island. Her office is located in The Dome 204 (Mail Drop: SB-DNF), and she can be contacted at Patricia.Norberg@quinnipiac.edu. Her educational background includes: BS, University of Rhode Island MBA, University of Rhode Island PhD, University of Rhode Island Professor Norberg's research centers on consumer behavior with specialized expertise in privacy , health marketing , and algorithmic impacts . She investigates how emotional connections (like pet attachment) influence advertising responses, the psychological mechanisms behind privacy protection failures, and the role of visual elements in pandemic health messaging. Her work bridges marketing theory with urgent real-world issues—from disaster response to payment innovation—often revealing counterintuitive consumer behaviors through rigorous experimental design. Notably, her 2024 studies expose how algorithms manipulate social ties and how learned helplessness undermines privacy efforts. Analysis of her 15 most recent publications (2011-2024) reveals three dominant trends: (1) Health crisis communication examining image/color effects in pandemic messages across cultures; (2) Digital privacy dynamics exploring algorithmic interference in social relationships and psychological barriers to data protection; and (3) Consumer cognition dissecting ratio processing biases and semantic discount interpretation. Her methodology frequently combines experimental approaches with behavioral economics frameworks, yielding actionable insights for both marketers and policymakers.

Lisa FinkelsteinView profile

Professor

• Age and generation issues in the workplace
• Stigma in the workplace
• Mentoring relationships
• +6 more

Lisa Finkelstein serves as a Professor in the Department of Psychology at Northern Illinois University, specializing in Social and Industrial/Organizational Psychology. Her research program investigates critical workplace dynamics including age-based discrimination, generational interactions, and organizational interventions for inclusive workplaces. With over 30 years of scholarly contributions since her 1996 Tulane University doctorate, she maintains active research leadership through the FinkLab while teaching core courses in social psychology and organizational behavior. Education Ph.D. in Psychology, Tulane University (1996) Professor Finkelstein's research centers on metastereotypes, age discrimination mechanisms, and mentoring effectiveness in multigenerational workplaces. She examines how implicit biases affect employment decisions, how humor functions as both coping mechanism and potential aggression vector, and the complex interplay between high-potential designation and leadership success. Her work bridges theoretical social psychology with practical organizational applications, particularly regarding cyber incivility impacts on older workers and Dark Tetrad personality influences on abusive supervision responses. Analysis of her 2020-2025 publications reveals intensifying focus on intersectional discrimination frameworks, with growing emphasis on pandemic-exacerbated age biases and methodological innovations for measuring implicit metastereotypes. Recent work demonstrates sophisticated integration of daily diary methodologies with traditional experimental designs, while maintaining consistent attention to practical HR implications through resources like her 2021 "Ageless Talent" framework for age-diverse workforce optimization. Scientific Awards No specific awards were documented in available materials Professor Finkelstein's mentoring scholarship directly informs her teaching of PSYC 617 (Individual Assessment) and PSYC 619 (Organizational Development), where she translates research on mentor-protégé efficacy crossover into classroom practice. Her extensive publication record in top journals like Personnel Psychology and Work, Aging and Retirement demonstrates sustained research productivity without mention of major external grants in available materials. She maintains active scholarly engagement through the Society for Industrial and Organizational Psychology (SIOP), contributing to special issues on generational workplace dynamics. She directs the FinkLab, which serves as the operational hub for her metastereotype research program. The lab employs mixed-methods approaches to investigate age-based workplace interactions, with particular focus on developing measurement tools like the word fragment completion task for metastereotype activation. Current lab activities appear centered on pandemic-era workplace adaptations and the Dark Tetrad's impact on abusive supervision responses.

• Cognitive Psychology
• Psycholinguistics
• Neuroscience
• +4 more

Prof. Dr. sc. nat. Elke van der Meer is a Senior Professor at the Institute of Psychology, Humboldt University of Berlin. With a career spanning over four decades, she has made significant contributions to cognitive psychology, psycholinguistics, and temporal perception research. Her work integrates psychometrics, behavioral experiments, and neuroimaging techniques like fMRI and ERP to explore event knowledge, attention mechanisms, and differential psychological aspects in conditions such as Parkinson's and dyslexia. Education: Diploma in Psychology (1974), Humboldt University of Berlin; Dr. rer. nat. (1979) on analogy recognition; Habilitation (1983) on concept knowledge usage. Research: Focuses on knowledge representation, psychological time processing, and environmental perception. Key methodologies include pupillometry, eye tracking, and neural connectivity studies. Publications: 15 most recent works span pitch discrimination, temporal focus scales, analogical reasoning, and migration-related delinquency studies. Her research bridges cognitive science with urban ecology and educational psychology. Leadership: Served as Managing Director of the Institute (2004-2006), Principal Investigator in multiple graduate programs, and held editorial roles in key psychology journals.

• Neuroscience
• Pain Management
• Neuroimaging
• +3 more

Lieven A. Schenk is a Researcher at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Institute of Systems Neuroscience within the Faculty of Medicine. His work focuses on the neural mechanisms underlying placebo effects, pain modulation, and social learning. He employs neuroimaging techniques like fMRI to investigate how contextual factors, prior experiences, and observational learning influence therapeutic outcomes. Key research areas include placebo analgesia, expectation violations, and the role of prefrontal-striatal circuitry in pain perception. Dr. Schenk has contributed to studies on the experimental and clinical aspects of pain management, including randomized controlled trials and meta-analyses. His research bridges cognitive neuroscience, clinical psychology, and genetics, exploring how genetic factors and aging modulate cognitive processes. He is based at the Center for Experimental Medicine in Hamburg, collaborating on projects involving social observational learning and the neurobiology of treatment efficacy.

Lefort Jean-PhilippeView profile

Lecturer

• Decision Theory
• Ambiguity in Economics
• Game Theory
• +3 more

Lefort Jean-Philippe serves as a Lecturer at Paris Dauphine University, where he is affiliated with the LEDa research center (Laboratoire d'Economie de Dauphine). His academic work centers on theoretical economics with a specialized focus on decision-making under uncertainty and ambiguity, contributing significantly to the advancement of non-expected utility frameworks. His research spans Decision Theory , Ambiguity Modeling , and Game Theory , particularly examining neo-additive capacities, dynamic rationality, and probabilistic information processing. Key contributions include the development of generalized pricing rules under ambiguity, dynamic extensions of the Ellsberg paradox, and foundational work on belief updating mechanisms. His methodological approach integrates rigorous mathematical economics with experimental validation, yielding insights applicable to financial economics and strategic interaction analysis. Analysis of his publication trajectory (2008-2021) reveals consistent innovation in ambiguity modeling, with increasing focus on dynamic applications and financial contexts. His work demonstrates strong continuity in exploring how agents process probabilistic information under uncertainty, bridging theoretical economics with practical market phenomena through sophisticated non-additive probability frameworks. Lefort maintains active research collaboration within the LEDa center, contributing to its mission of advancing economic theory through interdisciplinary approaches that combine mathematical rigor with behavioral insights.

• Primate Cognition
• Avian Cognition
• Animal Behavior
• +15 more

Dr. Isabelle Laumer is a Cognitive Biologist and Primatologist conducting postdoctoral research at the Max Planck Institute of Animal Behavior since 2022. With over a decade of experience studying great apes and parrots, she has worked at prestigious institutions including the University of Vienna, Max-Planck-Institute for Anthropology, and University of California Los Angeles. Current research: Exploration behavior in primates, cognitive performance-curiosity interplay Key techniques: Behavioral observation, touchscreen experiments, pupillometry, thermal imaging Special focus: Evolution of humor and playful teasing in great apes Her research spans physical cognition (tool-use, innovation, decision-making) and social cognition (prosociality, inequity aversion, theory of mind). She has made groundbreaking discoveries in self-medication behavior in orangutans and comparative studies of human infant teasing vs. ape behavior. Her work has been recognized with the uni:docs fellowship during her PhD at the University of Vienna. Dr. Laumer has supervised graduate researchers and contributed to field experiments assessing curiosity development across species. Current projects investigate cognitive evolution through comparative studies of wild/human populations, with implications for understanding human evolutionary trajectories.

• Social Expectations
• Depression
• Intervention Research
• +2 more

Fernanda Hoffmann is a Researcher in the Department of Clinical Psychology and Psychotherapy at the Faculty of Psychology, Philipps University of Marburg, where she has served as a PreDoc researcher since October 2024 while pursuing her PhD under Prof. Dr. Winfried Rief. Education: PhD in Psychology (in progress, since 10/2024), Philipps University of Marburg, supervised by Prof. Dr. Winfried Rief M.Sc. in Psychology, Karl-Franzens University of Graz (10/2022 - 09/2024) B.Sc. in Psychology, Karl-Franzens University of Graz (10/2018 - 04/2022) Research Interests: Social Expectations in depression pathogenesis and treatment, Expectation optimization/violation mechanisms, Development of targeted psychological interventions, and Open Science implementation in clinical research. Her work emphasizes modifying social expectations to achieve sustainable improvements in depressive disorders. Awards: Merit scholarship from Karl-Franzens University of Graz (2019-2023) Professional Experience: Therapist at Psychotherapie-Ambulanz Marburg (06/2023-08/2023); Clinical internships in Psychiatry (Charité Berlin, 07/2021-01/2022) and Neuropsychology (Schön Klinik München Schwabing, 09/2020-09/2021); Research internships in Work and Organizational Psychology and General Psychology at Karl-Franzens University of Graz (07/2021-09/2021). Contact: fernanda.hoffmann@uni-marburg.de | +49 6421 28-24054 | Gutenbergstraße 18, Room 03038, Marburg

Jason ZhouView profile

Assistant Professor

• Crisis Communication and Management
• Corporate Social Advocacy
• Organization-Public Relationships
• +3 more

Dr. Jason Zhou is an Assistant Professor in the Experience Design department at Bentley University. He holds a Ph.D. from The University of Alabama, a Master's from Boston University, and a Bachelor's from Shanghai International Studies University. His research focuses on crisis communication strategies, corporate social advocacy, and organization-public relationships, with particular emphasis on crisis response effectiveness and methodological challenges in the field. He teaches courses in Public Relations Writing, Crisis Communication Management, and Digital Public Relations. Dr. Zhou's research explores factors influencing crisis response efficacy, corporate social advocacy's impact on public perception, and the role of digital platforms like TikTok in relationship-building. He has contributed to theoretical frameworks such as the Anger Activism Model applied to CSR crises and has analyzed Fortune 100 companies' responses to social movements like BLM. His recent work examines brand-issue fit in CSR advocacy, nonprofit legitimacy in conflict scenarios, and the efficacy of interactive communication strategies in crises. While no specific awards are listed, his publications reflect a strong focus on methodological rigor and real-world organizational challenges. Dr. Zhou advises no listed students and has not mentioned grants in the provided materials. His professional service contributions and presentations are noted but not detailed here. His research often intersects with global events, such as the 2022 Ukraine invasion and the 2020 BLM movement, demonstrating a commitment to timely and socially relevant inquiry.