جست‌وجوی استاد و پژوهشگر

Levi J Hargroveمشاهده پروفایل

دانشیار

• Signal Processing
• Pattern Recognition
• Myoelectric Control
• +۳ مورد دیگر

Levi J Hargrove is an Associate Professor at Northwestern University, holding dual appointments in the Department of Physical Medicine and Rehabilitation at the Feinberg School of Medicine and the Department of Biomedical Engineering at the McCormick School of Engineering. He is also a Research Scientist at the Center for Bionic Medicine at Shirley Ryan AbilityLab. His work focuses on developing neural control systems for prosthetic limbs, particularly in myoelectric control and pattern recognition, aiming to create clinically viable solutions for amputees. Education: BScE in Electrical Engineering, University of New Brunswick, 2003 MScE in Electrical Engineering, University of New Brunswick, 2005 PhD in Electrical Engineering, University of New Brunswick, 2008 Research Interests: Signal processing, pattern recognition, myoelectric control of powered prostheses, and neural interfaces for bionic limbs. His lab translates research into clinical applications, such as the first thought-controlled bionic leg and Coapt LLC's pattern recognition systems for upper-limb prosthetics. Awards: 2017 American Academy of Orthotists and Prosthetists Research Award 2014 Department of Defense Outstanding Research Team Award 2015 Collaboration Award from Chicago Innovation Grants: Manages a $25 million portfolio from federal, military, and philanthropic sources. Key projects include NSF-funded research on human-robot interaction and DoD grants for prosthetic innovation. Labs: Leads the Regenstein Foundation Center for Bionic Medicine and collaborates with the Neurorehabilitation and Neural Engineering Lab. His work emphasizes translational research, bridging engineering and clinical practice.

Hatice Gunesمشاهده پروفایل

استاد

• Affective Computing
• Affective Robotics
• Social Robotics
• +۵ مورد دیگر

Prof. Hatice Gunes is a Full Professor of Affective Intelligence and Robotics at the University of Cambridge's Department of Computer Science and Technology, leading the Affective Intelligence and Robotics Lab (AFAR Lab). She holds an EPSRC Fellowship and is an EPSRC Fellow. Her research focuses on multimodal affective and social intelligence for AI systems, particularly embodied agents and robots, integrating Machine Learning, Affective Computing, and Human Nonverbal Behaviour Understanding. Key projects include the CHANSE initiative (2025–2028) for child mental health assessment via social robotics, the EPSRC Fellowship on robotic EQ for wellbeing (2019–2025), and the EU Horizon 2020 WorkingAge project. Prof. Gunes has pioneered systems like the EU SEMAINE project's SAL system, recognized with Best Demo and Paper Awards, and co-founded SensingFeeling, a spin-out company from the Innovate UK Sensing Feeling project. Her work emphasizes ethical AI and fairness, earning awards like the Best Paper Award in Responsible Affective Computing (IEEE ACII'23). She has delivered keynote talks at IEEE FG’19 and ICPR’22 and collaborates with the Department of Psychiatry and wellbeing professionals. Education: PhD in Computer Science from University of Technology Sydney (UTS) under Australian Government IPRS Scholarship Postdoctoral Research at Imperial College London (SEMAINe project) Research Interests: Multimodal affective computing, social robotics for mental wellbeing, fairness in AI systems, human-robot interaction (HRI), and ethical deployment of AI technologies. Her lab develops robots for workplace wellbeing coaching and child mental health assessment, with over 700 media coverages and partnerships with industry and healthcare sectors. Notable Achievements: Runner-up Collaboration Award (2023 VC Research Impact) Better Future Award (2023 Hall of Fame) Finalist RSJ/KROS Interdisciplinary Research Award (2021) Shortlisted Sony Women in Technology Award 2025 Labs & Teams: AFAR Lab drives interdisciplinary research in Cambridge, focusing on socially intelligent robots and AI systems that address critical societal challenges in wellbeing and mental health.

Sebastian Willenمشاهده پروفایل

پژوهشگر

• Family Sociology
• Transport Sociology
• Empirical Social Research
• +۲ مورد دیگر

Sebastian Willen is a Researcher at the Chair of Empirical Social Research at the University of Duisburg-Essen. He is affiliated with the working group of Prof. Dr. Stein and contributes to interdisciplinary projects like ATMo² and InnaMoRuhr , focusing on sustainable mobility and social dynamics. Research Interests include family sociology, transport sociology, dyadic modeling, and empirical methods. His work examines partnership negotiation in family expansion, mobility behavior transformation, and plagiarism dynamics through advanced statistical analysis. Recent Publications highlight family formation processes, sustainable urban mobility, and ethical decision-making. Articles span journals like Kölner Zeitschrift für Soziologie und Sozialpsychologie , Demographic Research , and edited volumes on mobility. His work integrates quantitative methods with theoretical frameworks in social research. Scientific Activities involve empirical social research, teaching advanced statistical analysis, and presenting at conferences such as the Wissenschaftsforum Mobilität . He has contributed to projects addressing mobility transitions and social inequality.

Aaron Pincusمشاهده پروفایل

استاد

• Personality Psychology
• Clinical Psychology
• Interpersonal Processes
• +۷ مورد دیگر

Aaron Pincus is a Professor of Psychology at Penn State University's Department of Psychology within the College of the Liberal Arts. He is a Licensed Psychologist with extensive research expertise in personality psychology, clinical psychology, and interpersonal processes. Dr. Pincus directs the Personality Psychology Laboratory with a focus on adult clinical psychology. His primary research interests include Contemporary Integrative Interpersonal Theory (CIIT), pathological narcissism, and the DSM-5 Alternative Model of Personality Disorders. His work integrates clinical and personality psychology through the "interpersonal situation" framework, examining how individual differences in personality impact social functioning across multiple timescales. Dr. Pincus has developed several assessment tools including the Pathological Narcissism Inventory (PNI), the Inventory of Interpersonal Problems Circumplex Scales (IIP-C), and the Interpersonal Stressors Circumplex (ISC). His recent publications demonstrate expertise in circumplex measurement methods, interpersonal pathoplasticity, and the integration of personality structure and dynamics. Contemporary Integrative Interpersonal Theory (CIIT) Circumplex Measures and Methods Interpersonal Pathoplasticity Integration of Personality Structure and Dynamics Pathological Narcissism (grandiosity and vulnerability) DSM-5 Alternative Model of Personality Disorders His laboratory employs intensive repeated measures of social perception and behavior using daily diary assessments via smartphone technology to examine intraindividual variability across interactions, days, weeks, and years. This research connects social perception, behavior, emotions, and symptoms to stress, health, psychopathology, and adjustment.

• Transport Planning
• Urban Sustainability
• Data Analysis
• +۵ مورد دیگر

Roles and Affiliations: Doina Olaru is a Professor in the Department of Management and Organisations at the University of Western Australia (UWA) Business School. She is affiliated with the Planning and Transport Research Centre and holds a visiting position at the University of Burgos, Spain. Her work focuses on transport planning, urban sustainability, and data-driven decision making. Education: PhD in Transport Engineering (University Politehnica of Bucharest, 2000). Prior industry experience includes roles as a railway engineer and Postdoctoral Research Scientist at CSIRO. Research Interests: Urban transport systems, travel behavior modeling, accessibility analysis, environmental impacts of transport, and applications of artificial intelligence. She emphasizes sustainable solutions integrating land-use and transport policies. Grants and Collaborations: Principal investigator on 31 grants, including ARC Linkage Projects and industry partnerships with iMOVE CRC. Collaborates with institutions like the University of Oxford, University of Leeds, and University of Sydney. Awards: Multiple teaching awards (UWA Business School) and recognition for contributions to transport research, including the Dennis Moore Australian Computer Society Orator honor. Teaching: Courses include Data Analysis and Decision Making, and Quantitative Data Analysis. Over 10 teaching excellence nominations. Current Projects: Focus areas include smart transport technologies, roundabout modeling via drone analytics, and hybrid work impacts on transport demand.

Fred Feinbergمشاهده پروفایل

استاد

• Discrete choice models
• Bayesian statistics
• Marketing analytics
• +۷ مورد دیگر

Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.

• Team Dynamics
• Organizational Behavior
• Negotiation Theory
• +۳ مورد دیگر

Stephen Humphrey is the Alvin H. Clemens Professor of Management and Organization at the Smeal College of Business, Pennsylvania State University. His research focuses on social relations at work, with a primary emphasis on teamwork dynamics, negotiation theory, and organizational behavior. He holds a PhD in Organizational Behavior and Human Resource Management from Michigan State University and a BS in Psychology from James Madison University. Professor Humphrey's research explores two core areas: (1) the 'bottom-up' formative design of teams (including composition, role allocation, and reward structures), and (2) the 'top-down' management of existing teams (focusing on temporal dynamics, structural adaptation, and conflict resolution). His work on team microdynamics examines multilevel, multi-period, and multi-theoretical aspects of teamwork. His recent publications demonstrate strong research trends in team dynamics, organizational reputation, negotiation pedagogy, and ethical decision-making. Articles frequently employ meta-analytic approaches and focus on contextual factors influencing team performance across diverse settings. The research consistently bridges theoretical frameworks with practical organizational applications. Professor Humphrey teaches negotiation skills across undergraduate, MBA, EMBA, and executive education programs. He has developed several negotiation simulations derived from real-world scenarios and teaches doctoral seminars on organizational research design. As faculty advisor, he mentors PhD and DBA students in research methodology and academic development.

• Compassion at work
• Mindfulness at work
• Organisational justice
• +۷ مورد دیگر

Samantha Su-Hsien Sim is an Assistant Professor at Nova School of Business and Economics (NOVA SBE) in Portugal, where she teaches Organisational Behaviour and Human Resource-related courses. She is affiliated with the Leadership for Impact Centre at Nova SBE and the Mindfulness Initiative at Singapore Management University, and serves as a faculty adviser for the student-led Nova Mindfulness Club. Doctorate in Business, Singapore Management University Bachelor in Social Science, Singapore Management University Master in Social Science, Tilburg University Her research centers on compassion and mindfulness in the workplace, organisational justice, and cross-cultural differences. She investigates how compassion influences workplace behavior and leadership, and how mindfulness affects cooperation and negotiation outcomes. Her work bridges organizational psychology and management, with implications for employee well-being, ethical leadership, and inclusive organizational cultures. Her recent publications explore mindfulness-based training, corporate well-being programs, and algorithmic fairness in employment. The research spans topics like psychological well-being, negotiation dynamics, and public policy, showing a strong interdisciplinary focus on human-centered organizational practices. Published in top journals including Journal of Applied Psychology , Academy of Management Journal , and Organizational Behavior and Human Decision Processes She advises student research through the Nova Mindfulness Club and contributes to research grants related to leadership, mindfulness, and organizational justice. Her collaborative network includes scholars from Singapore, Europe, and North America, reflecting her cross-cultural research orientation. She is active in research centers focused on leadership impact and mindfulness, contributing to both academic and practical applications in organizational settings.

Jörg Fachnerمشاهده پروفایل

استاد

• Music Therapy
• Social Neuroscience
• Neurorehabilitation
• +۳ مورد دیگر

Jörg Fachner is a Professor of Music, Health, and the Brain at Anglia Ruskin University (ARU), serving as Co-Director of the Cambridge Institute for Music Therapy Research. His research focuses on translational issues in interdisciplinary topics between medical, humanities, and music sciences. He holds a Dr. rerum medicinalium (Medical Sciences) from the University of Witten/Herdecke and a Diplom Pädagoge (Master in Education) from the University of Dortmund. **Research Interests:** Music therapy in neurorehabilitation, addiction treatment, dementia care, and mental health. Specializes in social neuroscience, EEG-based studies of therapeutic processes, and the neural dynamics of music-induced emotions. **Grants & Consultancy:** Major grants include the Josef Ressel Centre for Personalised Music Therapy Research in Neurorehabilitation (€1.1M), UKRI funding for RadioMe dementia technology (£35k), and collaborations with institutions like Aalborg University and Jyväskylä University. Consulted on projects such as depression and music therapy (NHS) and art therapies in addiction treatment (Germany). **Awards:** None explicitly listed, but recognized for contributions to music therapy research and clinical practice. **Labs/Teams:** Leads the Cambridge Institute for Music Therapy Research, collaborating on interdisciplinary projects like RadioMe and EEG hyperscanning studies. Supervises a global cohort of PhD students in music therapy and neuroscience.

Sabyasachi Chatterjeeمشاهده پروفایل

دانشیار

• Nonparametric Signal Estimation
• Shape Constrained Estimation
• Statistical Information Theory
• +۵ مورد دیگر

Sabyasachi Chatterjee is an Associate Professor in the Department of Statistics at the University of Illinois at Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. He joined UIUC in 2017 after serving as a Kruskal Instructor at the University of Chicago. He earned his PhD in Statistics from Yale University (2014), advised by Andrew Barron. His research focuses on nonparametric signal estimation, shape-constrained estimation (monotonicity, convexity, unimodality), statistical information theory, and resampling methods like cross-validation. He also explores statistical learning theory, online learning, and applied probability. His recent work includes advancements in quantile regression via dyadic CART, adaptive estimation of piecewise polynomials, and spatially adaptive prediction algorithms. Key contributions involve risk bounds for trend filtering and cross-validation frameworks for signal denoising. His research is supported by NSF Grant DMS-1916375 on nonparametric estimation under shape/norm constraints. Chatterjee collaborates on grants and has advised multiple students (though specific names are not listed in available texts). His lab’s work bridges theoretical statistics with practical applications in data science and signal processing.

Bryan S. Grahamمشاهده پروفایل

استاد

• Econometrics
• Network Analysis
• Development Economics
• +۴ مورد دیگر

Bryan S. Graham is a Professor of Economics at the University of California, Berkeley. He specializes in econometrics, focusing on network formation, social interactions, and panel data analysis. His research explores topics such as peer effects, poverty traps, and small sample properties of econometric methods. Graham holds a Ph.D. from Harvard University (2005) and has held visiting positions at Harvard, CEMFI (Spain), and NYU. He is an elected Fellow of the International Association of Applied Econometrics. Education highlights include a Rhodes Scholarship (1997–2000) at Oxford University, a Fulbright Scholarship (1997–1998) at the Australian National University, and a B.A. in Quantitative Economics from Tufts University (1993–1997). His work has been published in top journals like Econometrica and the Review of Economic Studies . Key awards include NSF grants (multiple), the Review of Economics Studies Tour, and the Daniel Ounjian Prize. Graham’s research has practical applications in policy analysis, particularly in education and social spillover effects. He also actively contributes to academic service, including editorial roles at Review of Economics and Statistics and Journal of Econometrics .

• Biomedical Signal Processing
• Electroencephalography (EEG)
• Mental Workload Assessment
• +۱۲ مورد دیگر

Tarmo Lipping is a Professor in the Department of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering, University of Oulu. His work bridges computing sciences with biomedical engineering, environmental modelling, and data-driven societal applications. Doctor of Science (Technology), Information Technology – Awarded 14 Feb 2001 Master of Science (Technology), Information Technology – Awarded 10 Sept 1993 His research focuses on electroencephalography (EEG) , mental workload assessment , depth of anesthesia monitoring , and machine learning applications in healthcare and human-computer interaction. He also contributes to environmental informatics , particularly in land uplift modelling and radionuclide transport , aligning with UN Sustainable Development Goals. Recent publications highlight trends in transformer networks for EEG analysis , wearable HCI systems , data-driven food safety , and participatory municipal governance . His work integrates deep learning, signal processing, and real-world deployment. Scientific awards include: CIMO opettajavaihto (2017) Lipping has supervised numerous master’s students and served as an examiner in diverse topics including data vault modelling , telecom revenue estimation , and EEG hyperscanning . He has evaluated funding applications, acted as a journal reviewer (65 times), and contributed to editorial work. His activities reflect strong engagement in academic service and interdisciplinary research mentorship. He has contributed datasets on Fennoscandian land uplift , lake isolation , and archaeological shorelines to PANGAEA, supporting open science in geosciences and environmental history.

Katherine Thorsonمشاهده پروفایل

استادیار

• Interpersonal processes
• Intergroup relations
• Emotion
• +۹ مورد دیگر

Katherine Thorson is an Assistant Professor at Barnard College , affiliated with the Department of Psychology . Her research focuses on interpersonal interactions , intergroup dynamics , and physiological responses in social contexts. B.A. in Psychology from Bates College M.A. and Ph.D. in Psychology from New York University Thorson’s work explores how stereotype threat affects gender dynamics in STEM, physiological synchrony in romantic and professional settings, and methodological innovations in dyadic and longitudinal data analysis. Her research often bridges social psychology and health outcomes . Recent trends in her publications include studies on intellectual humility in guided conversations, physiological linkage in diverse contexts (e.g., doctor-patient interactions, group therapy), and mindfulness in social engagement. Society for Experimental Social Psychology Dissertation Award finalist Funded by the Society for the Psychological Study of Social Issues She applies dyadic data analysis and multilevel modeling to examine how social environments shape psychological experiences and physiological outcomes .

Steve Bokerمشاهده پروفایل

استاد

• Quantitative Psychology
• Structural Equation Modeling
• Longitudinal Data Analysis
• +۵ مورد دیگر

Steve Boker is a Professor of Psychology at the University of Virginia, directing the Human Dynamics Laboratory and the LIFE Academy. His research focuses on quantitative psychology, structural equation modeling (SEM), and dynamical systems analysis for longitudinal and time series data. Dr. Boker has pioneered methods like Differential Structural Equation Modeling (dSEM) , Latent Differential Equations (LDE) , and the Windowed Cross-Correlation (WCC) method. He co-developed the widely used OpenMx SEM software framework and invented the RAMpath method for path diagram analysis. Key Research Areas: Dyadic conversation dynamics, adaptive systems in addiction, motion symmetry in social interactions, maternal-infant coupling, and resilience modeling through longitudinal data. Awards & Honors: 2024 Distinguished Researcher Award (UVA) 2020 Saul Sells Award for lifetime achievement in multivariate psychology Fellow, American Psychological Association Fellow, Association for Psychological Science His methodological contributions span over 150 publications, with recent work emphasizing nonlinear dynamics, surrogate data validation, and complexity metrics like the Tangle index for short time series analysis.

Andrew M. Olneyمشاهده پروفایل

استاد

• Natural Language Processing
• Intelligent Tutoring Systems
• Dialogue Systems
• +۵ مورد دیگر

Andrew M. Olney is Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. His work bridges artificial intelligence, cognitive science, and education, with a primary focus on natural language interfaces for learning. His educational background includes a Ph.D. in Computer Science from the University of Memphis (2006), an M.S. in Evolutionary and Adaptive Systems from the University of Sussex (2001), and a B.A. in Linguistics with Cognitive Science from University College London (1998). Dr. Olney's research centers on intelligent tutoring systems and natural language processing applications in education. His specific interests include vector space models, dialogue systems, unsupervised grammar induction, and computational representations of meaning. He has made significant contributions to conversational intelligent tutoring systems and task-oriented natural language interfaces, with particular emphasis on dyadic interaction and engagement in learning contexts. Analysis of his recent publications reveals a consistent focus on leveraging AI for educational enhancement, particularly through automated content creation, question generation, and adaptive learning systems. His work spans multiple disciplines including computer science, cognitive science, linguistics, and education, demonstrating strong interdisciplinary integration. Scientific Awards and Recognition: Best Paper Award, Proceedings of Empowering Education with LLMs (2023) Associate Editor, International Journal of Artificial Intelligence in Education (Impact Factor 4.9) Dr. Olney has been actively involved in mentoring graduate students and securing research funding. He has served as Principal Investigator on $6M of federal grants within a total of $18M in federal grant funding. His service includes former editorship of the Journal of Educational Data Mining (2017-2022) and former leadership roles as Director/Associate Director of the Institute for Intelligent Systems (2006-2017). He currently coordinates both the Cognitive Science Graduate Certificate and Undergraduate Minor in Cognitive Science at the University of Memphis. His BrainTrust project, funded by the NSF, addresses the knowledge engineering bottleneck for intelligent tutoring systems through innovative approaches to virtual student simulation and knowledge representation.