جست‌وجوی استاد و پژوهشگر

Darrell Worthyمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Decision-Making
• Categorization
• +۱۱ مورد دیگر

Dr. Darrell Worthy is an Associate Professor in the Department of Psychology at Texas A&M University, affiliated with the Neuroscience & Personality Processes research cluster. His work integrates behavioral, computational, and neuroscience methods to study learning and decision-making. Key research areas include reinforcement learning, decision-making under uncertainty, and the impact of clinical issues like substance abuse and depression on cognitive processes. He explores both basic cognitive mechanisms and individual differences, bridging sub-disciplines through neuroscientific approaches. His research employs formal mathematical models and fMRI to test hypotheses about cognitive processes. Notable contributions include studies on frequency-based decision-making, the inverse base-rate effect, and the effects of acute stress on decision strategies. He is actively involved in mentoring students, with current openings for 2024-2025 academic year. Scientific achievements include the 2016 Best Article award in Cognitive, Affective, and Behavioral Neuroscience. His lab (Worthylab) focuses on strategic decision-making models, with recent work on reward segmentation and category learning. Collaborative projects address topics like zoonotic disease communication and dopamine's role in decision-making.

Hannah Hobsonمشاهده پروفایل

مدرس ارشد

• Psychology
• Developmental Disorders
• Neuroscience
• +۳ مورد دیگر

Dr. Hannah Hobson is a Senior Lecturer in the Department of Psychology at the University of York. Her research focuses on language and communication challenges in developmental and acquired conditions, including autism spectrum disorder, developmental language disorder, and stroke survivors. She has a particular interest in how language interacts with emotional processing and the neural systems underlying social cognition. She also advocates for reproducible and ethical research practices in psychology. Education: Bachelor of Arts in Experimental Psychology, University of Oxford (2009-2012) Doctor of Philosophy (DPhil) in Experimental Psychology, University of Oxford (2012-2016) Research Interests: Language disorders and their impact on emotional and social functioning Neural mechanisms of imitation and social interaction Alexithymia and its relationship to language Improving reproducibility in psychological research Recent Articles Focus: Her work examines intersections between language impairment, neurodiversity, and social cognition, with recent studies addressing topics like mask-wearing effects on autistic individuals, developmental language disorder in legal contexts, and participatory autism research practices. Teaching & Service: Leads the Clinical Research Methods module in the Developmental Disorders and Clinical Practice MSc. Actively involved in editorial roles promoting open science. Collaborations: Works with researchers at City University, University of Bath, and University of Warwick, focusing on developmental and clinical psychology.

Cade Andrew McCallمشاهده پروفایل

استاد

• Threat and Cognition
• Social Interaction
• Human-Autonomous Systems Interaction
• +۳ مورد دیگر

**Cade Andrew McCall** is a Professor of Psychology at the University of York, leading research in threat cognition, social interaction, and human-autonomous systems. He chairs the EDI Committee and participates in the Executive Committee of YorRobots. His academic journey includes a PhD from the University of California, Santa Barbara (2009), MA from The New School for Social Research (2003), and BA in English Literature from Macalester College (1996). His research explores acute threat effects on cognition using immersive VR, autonomous system design for human interaction, and face identification in realistic contexts (ESRC Grant 2019–2022). Key projects include the *Lifelike Lab* and *The Underwood Project* (2022), a VR environment for studying ambiguous threat. Supervised students include Aaron Laycock, Yuka Spender, and Holly Hendry (Computer Science). Recent publications focus on emotional inertia, face recognition under distraction (2024), and decision-making under threat. Collaborations span disciplines like robotics and clinical neuropsychology, emphasizing VR’s role in understanding human behavior. His work addresses societal challenges in technology ethics, mental health, and social learning.

• Consumer Behavior
• Brand Mimicry
• Ethical Consumption
• +۶ مورد دیگر

Associate Professor Min Teah is an academic at Curtin University, affiliated with the School of Management and Marketing within the Faculty of Business and Law. Her research centers on consumer behavior, brand mimicry, ethical consumption, and sustainability in luxury branding, with a focus on psychophysiological methods and virtual reality applications in marketing. She has supervised students at Honours, Master’s, and PhD levels and contributed to industry projects with entities like Livelynk and Shiseido. Research Interests: Brand Mimicry, Ethical Consumption, Food Marketing, Luxury Branding. Teaching Roles: BLAW1002 Markets and Legal Framework, MKTG5013 Brand Semiotics and Storytelling, MKTG5011 Brand Design Aesthetics. Her recent publications explore sustainability in luxury branding, eco-resort consumer psychology, and sensory retail experiences. She has received multiple awards for innovation and teaching excellence, including Curtin Business School Industry Connected 'Innovator of the Year' and 'FBL HDR Supervisor of the Year'. Curtin Commercial Innovation Awards 2016 - Biometric Market Research Laboratory (Team) Faculty of Business and Law HDR Supervisor of the Year 2019 KSMS Dissertation Competition Best Dissertation (Premier) Award 2014 As Director of Graduate Research, she actively mentors students and participates in academic service through conference organization, journal editing, and peer review. Her work bridges academia and industry, emphasizing practical applications of marketing theory.

Heath Demareeمشاهده پروفایل

استاد

• Emotional Processing
• Cognitive Processing
• Decision-Making
• +۳ مورد دیگر

Heath Demaree is a Professor of Psychology at Case Western Reserve University, specializing in the intersection of emotional and cognitive processing. His research focuses on decision-making mechanisms, particularly exploration-exploitation dynamics, and how personality traits and emotions influence these processes. He leads the Demaree Lab, exploring topics like risk-taking behavior, affect regulation, and cognitive neuroscience methods. Education details are not explicitly provided, but his academic career spans over two decades with a strong focus on empirical research. He advises graduate students Amanda Merner, Rock Lim, and Kyle LaFollette. Research interests include: Emotion-cognition interactions Risk learning and decision-making Neurophysiological correlates of affect Computational modeling (e.g., diffusion decision models) Individual differences in behavioral outcomes His work bridges psychology and neuroscience, employing methods like EEG, psychophysiological measurements, and behavioral experiments. Over 50 publications demonstrate contributions to understanding emotional processing in decision contexts. He collaborates on tools like the FlexDDM Python package for diffusion decision modeling. Notable projects include: Impact of incidental emotions on reinforcement learning Physiological correlates of emotion regulation Cognitive load in medical decision-making

Guy Schofieldمشاهده پروفایل

مدرس ارشد

• Game Design
• Human-Computer Interaction
• Interactive Video
• +۷ مورد دیگر

Dr Guy Schofield is a Senior Lecturer at the School of Arts and Creative Technologies, University of York, with dual affiliations in Archaeology and Interactive Media. He holds a PhD in Computing Science from Newcastle University following prior BA and MA degrees in Fine Art. Schofield bridges art practice with technology through projects like Bootlegger (mobile documentary filmmaking) and Cinehack (micro-budget film solutions). MA in Fine Art PhD in Computing Science, Newcastle University His research focuses on affect-adaptive game design, cinematic virtual reality, and participatory media. Key projects include emotion-driven gameplay modification, immersive museum experiences, and VR applications for dementia care. Schofield's work spans kinetic sculpture, live performance, and interactive environments. Recent publications analyze threat response in VR, emotion-memory relationships, and appraisal-based affective architectures. He received the 2017 York Culture Award for Media Arts Excellence and serves as Programme Director for the MA/MSc in Postproduction and Visual Effects. Excellence in Media Arts (2017)

Meeko Oishiمشاهده پروفایل

استاد

• Autonomous Cyber-Physical Systems
• Human-Centered Control Systems
• Stochastic Reachability Analysis
• +۳ مورد دیگر

Dr. Meeko Oishi is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. She holds a PhD in Mechanical Engineering from Stanford University (2004) with a minor in Electrical Engineering, and undergraduate degrees from Princeton University (BS, 1998). Her research focuses on ensuring safety in autonomous cyber-physical systems through stochastic reachability analysis, human-in-the-loop control, and probabilistic methods. Key areas include human-centric system design, motor control in Parkinson's disease, and resilient autonomous systems. Education: PhD, Mechanical Engineering, Stanford University, 2004 MS, Mechanical Engineering, Stanford University, 2000 BS, Mechanical Engineering, Princeton University, 1998 Research Interests: Stochastic reachability and optimal control Human-in-the-loop system design Non-parametric learning and control Cyber-physical system safety Applications in robotics, aerospace, and healthcare Awards & Recognition: NSF BRITE Fellow (2023-2028) Senior Faculty Research Excellence Award (UNM School of Engineering, 2020) NSF CAREER Award (2013) UNM Regents' Lecturer (2015-2018) Truman Fellowship (2005) Advising & Labs: Advises ~30 graduate and undergraduate students in control systems and autonomy Directs the Hybrid Systems and Controls Lab Leads NSF CPS Frontier on Cognitive Autonomy Key Collaborations: NSF RAISE Traineeship (Resilient AI for Autonomous Systems) Clinical testbeds for circadian rhythm research Industry partnerships with Sandia National Labs, AFRL, and aerospace firms

• Speech Processing
• Machine Learning
• Affective Computing
• +۶ مورد دیگر

Professor Julien Epps is the Dean of the Faculty of Engineering at the University of New South Wales (UNSW). He holds a Professorship and previously served as Head of the School of Electrical Engineering and Telecommunications. His academic journey includes roles as Senior Lecturer (2007), Associate Professor (2014), and Head of School (2019). Epps earned his BE (Hons I) and PhD in Electrical Engineering from UNSW in 1997 and 2001, respectively. His research focuses on speech processing, wearable sensor technology, affective computing, and mental health applications. Notable contributions include work on depression detection via speech analysis, multimodal emotion recognition, and the development of tools like the IREye4Task dataset for wearable mental state analysis. He also investigates human-computer interaction through eye-tracking and biometric sensors. Epps' publications (2021–2025) emphasize speech-based health screening, adaptive signal processing for cybersecurity, and the integration of large language models with acoustic landmarks. His work spans engineering education, including a pioneering undergraduate quantum engineering degree program introduced in 2023. His lab and team collaborations include projects on smartphone-based depression screening, real-time task load estimation, and the design of robust spoofing attack detection systems. Epps has led interdisciplinary efforts in healthcare technology and pedagogical innovation in engineering education.

Kimberly Cuevasمشاهده پروفایل

دانشیار

• Cognitive Development
• Developmental Cognitive Neuroscience
• Social Neuroscience
• +۶ مورد دیگر

Dr. Kimberly Cuevas is an Associate Professor in the Department of Psychological Sciences at the University of Connecticut, with offices in Waterbury and Storrs. She earned her Ph.D. from Rutgers University in 2009. Her research examines cognitive development from infancy through childhood, emphasizing brain-behavior relationships and neural maturation processes using EEG and ECG methodologies. Her research interests span cognitive development, developmental neuroscience (including EEG/ECG applications), neural mirroring systems, and latent learning. She investigates how brain maturation underpins executive functions, memory formation, and learning processes during early development. Dr. Cuevas’ publications focus on neurocognitive development, with recurring themes in EEG correlates of executive function, memory binding mechanisms, reward-temperament interactions, and neural mirroring systems. Her work employs longitudinal designs, meta-analyses, and innovative neurophysiological approaches to map developmental trajectories from infancy through childhood. Fellow, Eastern Psychological Association (elected, 2020) Early Career Outstanding Paper Award, APA Division 7 (2015) Kucharski Young Investigator Award, ISDP (2015) Sandra G. Weiner Award (2005) National Psi Chi Research Award (2002) She leads two NIH-funded grants: co-PI on R01HD109221 (2023-2028) studying infant learning psychometrics, and co-PI on R01HD104945 (2022-2027) analyzing neural rhythms in early development. She directs the Cognitive and Affective Psychophysiology (CAP) Lab, which investigates neurobehavioral development using psychophysiological methods.

Alejandro Luis Callaraمشاهده پروفایل

پژوهشگر

• Biomedical Signal Processing
• Neuroimaging
• Brain Connectivity
• +۶ مورد دیگر

Alejandro Luis Callara serves as a postdoctoral researcher at the University of Pisa's Research Center "E. Piaggio," specializing in biomedical signal and image processing methodologies for neuroscience applications. His work bridges engineering and cognitive science through advanced computational approaches to physiological data analysis. His academic foundation includes: Bachelor’s Degree in Biomedical Engineering (2012), University of Pisa Master’s Degree in Biomedical Engineering (2015), University of Pisa PhD in Information Engineering (2019), University of Pisa Callara's research centers on developing analytical pipelines for EEG and fMRI data to map brain connectivity networks, with particular expertise in autonomic nervous system interactions during emotional processing. He actively contributes to the Brain matters team's development of neuronal segmentation tools for confocal microscopy data, extending his methodological focus to multi-scale tissue imaging. His technical proficiency spans directed coherence analysis, dynamic causal modeling, and thermal response quantification. Analysis of his 15 most recent publications (2024-2025) reveals three dominant research trajectories: (1) autonomic physiology investigations examining parasympathetic-sympathetic coupling during emotional tasks using EDA and HRV metrics; (2) innovative neuroimaging techniques for brainstem fMRI analysis and sparse connectivity mapping; and (3) multimodal integration studies exploring olfactory-visual-auditory interactions in affective disorders through VR/AR paradigms. Methodologically, his work consistently employs advanced signal processing frameworks like PCA-based partial correlation and ThermICA for multivariate analysis. Within the Research Center "E. Piaggio," Callara collaborates across bioengineering and robotics initiatives, particularly through the Brain matters team where he applies computational neuroscience to neuronal morphology analysis. His current projects focus on refining contactless stress classification systems using thermal imaging and developing immersive VR scenarios for anxiety disorder research, demonstrating strong translational potential for clinical applications.

Mimma Nardelliمشاهده پروفایل

استادیار

• Biomedical Signal Processing
• Wearable Monitoring
• Nonlinear Physiological Dynamics

Mimma Nardelli is an Assistant Professor at the University of Pisa's Department of Information Engineering and Research Center 'E. Piaggio'. Her research focuses on biomedical signal processing, wearable monitoring, and nonlinear analysis of physiological dynamics in clinical and healthy populations. She develops methods for assessing autonomic function, emotional states, and clinical conditions through multimodal biosignal analysis. She coordinates the PRIN project MOONSHINE and collaborates on EU projects including POTION and NEVERMIND. Her teaching includes Biometrics Systems, Affective Computing, and AI in Medicine. Awards include the 2017 GNB Award for her PhD thesis on HRV analysis for mood assessment. Research spans: wearable photoplethysmography validation, autonomic state characterization using multiscale entropy, cardiovascular coupling analysis, and physiological responses to affective stimuli. Applications include neonatal care, mental health monitoring, and human-robot interaction.

• Experimental Psychology
• Cognitive Psychology
• Affective Neuroscience
• +۵ مورد دیگر

Liina Juuse is a Junior Research Fellow at the University of Tartu's Institute of Psychology, Faculty of Social Sciences, with a focus on Experimental Psychology and affective neuroscience. She holds a Master's Degree (cum laude) in Psychology and is currently pursuing her PhD at the same institution. Education: MA in Psychology (cum laude), BA in Special Education, BA in Psychology Key Research Areas: Emotion recognition using EEG and bioelectrical signals, psychophysiology of facial expressions, social-emotional competence, and psychosocial crisis support. Her recent publications in journals like Acta Psychologica and Cognition & Emotion explore cross-modal emotion processing, skin conductance responses, and educational interventions. She has co-supervised multiple Master's theses on emotion analysis and AI applications in psychology. Notable awards include the II prize in Social Sciences at the 2020 National Student Research Competition for her Master's thesis. She is actively involved in projects like the Estonian Center of Excellence of Well-Being Sciences and serves on academic councils at the University of Tartu.

Amy McDonnellمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Psychophysiology
• Transportation Safety
• +۳ مورد دیگر

Amy McDonnell is a Post-Doctoral Research Fellow at the University of Utah's Department of Cognition and Neural Science (CNS), advised by David Strayer. Her work focuses on neural correlates of attention in real-world contexts, including the effects of nature immersion and vehicle automation on cognition. She employs methods like EEG, VR, and driving simulators to study driver workload, stress recovery, and reward processing. Key areas of research include transportation safety, human-automation interaction, and the neurobiological impacts of natural environments. Her research bridges laboratory and applied settings, with implications for urban design, public health, and engineering psychology. Notable methodologies include intracranial EEG, behavioral metrics, and on-road studies. She explores how nature exposure modulates attention and stress, as well as the cognitive demands of operating automated vehicles. No scientific awards are explicitly listed, but her work has been disseminated across peer-reviewed journals. Her advising focuses include the CNS lab, with a focus on interdisciplinary collaboration. She is affiliated with the University of Utah's Psychology department and contributes to initiatives like the Advocacy, Community, and Engagement (A.C.E.) group.

Jan Kujalaمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۸ مورد دیگر

Professor Jan Kujala is a full professor of brain development at the University of Jyväskylä, Department of Psychology, within the Faculty of Education and Psychology. He earned his Ph.D. from Helsinki University of Technology in 2008 and joined the University of Jyväskylä in 2019. His research focuses on neural mechanisms underlying human cognition, behavior, and development, leveraging advanced neuroimaging techniques like magnetoencephalography (MEG) and computational analysis. His research interests include understanding how neural activity and connectivity form adaptive systems, particularly in healthy individuals across the lifespan and clinical populations. Key areas include oscillatory activity, cortico-cortical connectivity, and links between neural processes and behavior. He leads the Neural Processes and Connectivity group and is part of the Centre of Excellence for Learning Dynamics and Intervention Research InterLearn. Recent work highlights studies on breathing’s neural modulation, abstract concept processing via MEG, and test-retest reliability of language-related brain connectivity. His 2024 and 2025 publications explore dog-human interaction physiology, empathy’s role in neurophysiological decoding, and GABAergic inhibition in visual memory. He also investigates sensorimotor beta oscillations’ heritability and the neural underpinnings of reading and executive functions in aging. His research emphasizes methodological advancements in MEG and EEG, particularly in connectivity analysis and artifact removal. Collaborative projects include interdisciplinary studies on human-animal interactions, brain plasticity, and clinical applications like stroke and Parkinson’s disease.

Zita Oraveczمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Computational Modeling
• Affective Science
• +۵ مورد دیگر

Zita Oravecz is an Associate Professor in the Department of Human Development and Family Studies at Pennsylvania State University's College of Health and Human Development. She holds a joint appointment as an ICDS Faculty Co-Hire at the Institute for Computational and Data Sciences. Her research develops computational and statistical methods for studying emotional/cognitive functioning using intensive longitudinal data. Education: Ph.D. in Quantitative Psychology, University of Leuven (Belgium), 2009 M.S. in Psychology, University of Debrecen (Hungary), 2004 Research Focus: Dr. Oravecz specializes in Bayesian hierarchical modeling of affective and cognitive processes. Her work integrates ecological momentary assessment (EMA), wearable sensors, and computational cognitive modeling to study: Real-time emotion regulation dynamics across the lifespan Individual differences in cognitive aging using smartphone-based assessments Cultural consensus in psychological constructs like 'felt love' Development of open-source tools for Bayesian analysis (e.g., BHOUM software) Publication Trends: Her recent articles (2020-2025) demonstrate strong emphasis on: Bayesian methods for intensive longitudinal data from wearables and EMAs Computational phenotyping of cognitive decline Cross-cultural studies of psychological well-being Real-time personalized interventions for health optimization Grants & Projects: Current projects include: 'Wear-IT' mobile technology framework for addiction relapse prevention NIH-funded studies on cognitive biomarkers in preclinical Alzheimer's NSF collaborations on emotion dynamics modeling Labs & Teams: Leads the Innovative Modeling for Psychological and Educational Research (IMPER) Lab, focusing on Bayesian methods for social/behavioral sciences. Collaborates with the QuantDev Methodology group and Penn State's Center for Healthy Aging.