جستجوی استاد راهنمای دانشگاهی

Joe Kable, PhD, serves as the Baird Term Associate Professor of Psychology at the University of Pennsylvania, where his research investigates the neurophysiological basis of human decision-making through integrative approaches from experimental economics, cognitive neuroscience, and judgment psychology. His laboratory specializes in fMRI studies examining how subjective value representations guide choices involving immediate versus delayed rewards. Education: B.S. in Chemistry, Emory University PhD in Neuroscience, University of Pennsylvania Dr. Kable's research program centers on neural mechanisms of temporal discounting, risk assessment, and individual differences in choice behavior. His work demonstrates how socioeconomic status, aging, and clinical conditions modulate decision processes, with particular emphasis on hippocampal-prefrontal interactions during value computation. Recent studies reveal how time perception alterations affect neural activity in reward circuits and how social factors influence trust decisions across the lifespan. Analysis of his 15 most recent publications shows a strong methodological focus on fMRI and lesion studies, with growing clinical translation in depression, addiction, and dementia. Key thematic trends include the neural encoding of effort costs in social contexts, structural brain markers for impulsivity, and the dissociable roles of frontal subregions in persistence behaviors. His work consistently bridges basic decision neuroscience with real-world applications in mental health. Scientific Awards: No scientific awards mentioned in source material Dr. Kable leads an active research laboratory at Penn but the source text provides no details about graduate student advising or specific grant funding. His publications indicate collaboration with clinical researchers at the Penn Memory Center, particularly in aging-related decision studies. The laboratory employs multimodal neuroimaging techniques including resting-state fMRI, TMS, and lesion mapping to investigate decision circuits, with recent work extending to computational modeling of value representation and social cognition mechanisms.

• Decision Making
• Neuroeconomics
• Cognitive Neuroscience
• +۲ مورد دیگر

Noorbakhsh Amiri Golilarz is an Assistant Professor in the Department of Computer Science at The University of Alabama, College of Engineering. He has established himself as a prominent researcher in artificial intelligence, particularly in computer vision, deep learning, and image processing. His educational background includes: Postdoctoral Research Fellow, Computer Science, Boston College (2023) Ph.D., Electrical and Computer Engineering, Southern Illinois University Carbondale (2023) D. Eng., Computer Science and Technology, University of Electronic Science and Technology of China (2021) M.S., Electrical and Electronic Engineering, Eastern Mediterranean University (2017) B.S., Electrical Engineering, University of Guilan (2012) Dr. Golilarz's research spans multiple domains of artificial intelligence with a particular focus on computer vision, deep learning, and image processing applications. His work addresses challenges in medical imaging, satellite imagery, and cognitive neuroscience. He has made significant contributions to image denoising techniques, control chart pattern recognition, and AI applications in healthcare. His recent work has expanded into generative AI, large language models, and secure machine learning operations. His publication portfolio demonstrates consistent productivity with over 2500 citations and an h-index of 25. His most impactful work includes applications of blockchain and federated learning for COVID-19 detection, optimized support vector machines for medical diagnosis, and innovative image denoising techniques using metaheuristic optimization algorithms. Among his professional achievements: Co-founded AI Letters journal in 2024, serving as Associate Editor-in-Chief Served as Lead Guest Editor and Topic Editor for several SCI-indexed journals Held the role of Conference Program Chair Dr. Golilarz has supervised numerous graduate students and research projects, with his work spanning theoretical advancements in AI algorithms to practical applications in healthcare, energy systems, and cybersecurity. His research group has established collaborations with institutions including Boston College and Mississippi State University.

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +۱۳ مورد دیگر

Julie Rak is the HM Tory Chair and Professor in the Department of English and Film Studies at the University of Alberta. She holds a BA and PhD from McMaster University and an MA from Carleton University. Her research focuses on auto/biography, life writing, and nonfiction in North America, with specialties in gender, Canadian literature, and publishing studies. She has authored or co-edited numerous books, including False Summit: Gender in Mountaineering Nonfiction (2021) and The Routledge Introduction to Auto/biography in Canada (2023). Rak’s academic roles include interim Chair of the EFS Department (2023–2024) and leadership in the Stories of Change research group. She has received prestigious awards such as the J. Gordin Kaplan Award (2023) and the Killam Annual Professorship (2017–2018). Her research explores marginalized narratives, including Inuit literature and digital life writing, with a commitment to inclusivity and community engagement. Her teaching spans undergraduate and graduate courses on autobiography, gender theory, and Canadian literature. She actively supervises research projects and supports student initiatives like the Roger Smith Undergraduate Research Award. Rak’s work bridges academic rigor with public scholarship, with over 90 media engagements. Education: PhD in English, McMaster University MA in Canadian Studies, Carleton University BA in English, McMaster University Grants & Projects: SSHRC Insight Grant for Government Agents, Literary Agents: Inuit Books and Government Intervention, 1968–1985 Leadership in the Stories of Change initiative Awards & Honors: Fellow of the Royal Society of Canada (2022) Henry Marshall Tory Chair (2019–2025) 2024 Visiting Professor at Merton College, Oxford

• Life Writing
• Autobiography
• Diaries and Journals
• +۹ مورد دیگر

Andrew Yonelinas is a Professor in the Department of Psychology at the University of California, Davis, where he directs the Human Memory Lab. He holds additional leadership roles as Associate Director of the Center for Mind and Brain and is an affiliated faculty member with the UC Davis Center for Neuroscience. His research bridges cognitive psychology and neuroscience to investigate fundamental memory mechanisms and their neural substrates. His educational background includes a Ph.D. in Experimental Psychology from McMaster University (1995) and a B.S. in Cognitive Science from the University of Toronto (1990). These foundational studies established his expertise in experimental methodologies and cognitive theory. Yonelinas specializes in dual-process models of memory, distinguishing between recollection (detailed contextual retrieval) and familiarity (vague recognition). His lab employs process dissociation, remember/know procedures, and ROC modeling alongside neuroimaging (fMRI, ERP) and clinical studies with amnesic and Alzheimer's patients. Recent work expands into auditory working memory, multisensory integration, and the impact of mental illness on cognitive processes, revealing hippocampal roles across memory systems. His research consistently addresses how memory fails in clinical conditions while developing unified theoretical frameworks. Analysis of his 2024-2025 publications shows a strong focus on memory mechanisms across sensory modalities, with increasing emphasis on clinical applications. Key trends include hippocampal contributions to visual/auditory working memory, EEG-based biomarkers for mental illness, and the interplay between schema knowledge and memory distortion in aging populations. His work demonstrates methodological innovation through model-based EEG phenotyping and multisite clinical collaborations. His scientific recognition includes: American Psychological Society’s Shahin Hashtroudi Memorial Award University of California Chancellor’s Fellow Award European Brain and Behavior Society International Lecture Award Yonelinas actively shapes his field through editorial roles at top journals including Proceedings of the National Academy of Sciences and Journal of Experimental Psychology, while serving as a grant reviewer for NIH, NSF, and international funding bodies. His Human Memory Lab trains next-generation researchers in memory theory and methodology, with recent projects examining stress effects on memory precision and neural mechanisms of action slips. The Human Memory Lab operates within UC Davis's neuroscience ecosystem, collaborating closely with the Center for Mind and Brain on projects involving clinical populations and neuroimaging. Current initiatives include the CNTRACS Consortium for EEG standardization in mental illness and investigations into how stress modulates memory binding through hippocampal mechanisms.

• Human Memory
• Cognitive Neuroscience
• Memory Processes
• +۵ مورد دیگر

Nathan W. Hudson is an Associate Professor in the Department of Psychology at Southern Methodist University (SMU) in Dallas, Texas. Previously, he received his Ph.D. in Psychology from the University of Illinois at Urbana-Champaign in 2016. His research focuses on personality psychology, particularly how people's personalities change across time and how individuals function in romantic relationships. He leads the Δ Lab at SMU, which investigates individual differences in human personality. Education: 2016 – Ph.D., Psychology, University of Illinois at Urbana-Champaign 2011 – M.A., Psychology, University of Illinois at Urbana-Champaign 2009 – B.A., Purdue University Nathan Hudson's primary research area is volitional personality change—people's desires and attempts to change their own personality traits. His groundbreaking research has shown that approximately 90% of people want to change aspects of their personality traits, and moreover, they may be able to find some degree of success in doing so. He also studies adult attachment styles and how people function in close relationships. Hudson's work suggests that attachment anxiety is linked to false memories, and that people's attachment styles can change over time. His research integrates both theoretical and applied perspectives, with implications for therapeutic interventions and personal development. Hudson's recent publications demonstrate a clear trajectory toward understanding the mechanisms of personality change and developing effective interventions. His work spans across multiple domains of personality psychology, with a particular emphasis on the Big Five personality traits, attachment theory, and well-being. A consistent theme throughout his research is examining how people's desires for change translate into actual personality growth. His work has increasingly focused on the practical applications of personality science, including developing measures and interventions that can help people achieve their desired personality changes. Scientific Awards: Goss-Lucas Award for Excellence in Teaching James Davis Fellowship Foundation for Personality and Social Psychology Heritage Dissertation Award Hudson actively mentors students in the Δ Lab at SMU, where they conduct research on personality change, attachment, and well-being. He has secured multiple grants to support his research on volitional personality change and the development of personality assessment tools. His lab has developed several psychological measures, including the Change Goals Big Five Inventory (C-BFI2) and its variants, which are freely available for academic research. Hudson also engages with the public through his TEDx talk "You Can Change Your Personality" and has been featured in Olga Khazan's book "Me, But Better," which applies his research to real-life settings. The Δ Lab, led by Hudson, is dedicated to understanding individual differences in personality and how people can intentionally change aspects of themselves. The lab values all individual differences among humans, recognizing that variance in human thoughts, feelings, and behaviors is adaptive and makes humanity resilient. The lab wholeheartedly supports the LGBTQ+ community and emphasizes that individual differences between humans are what personality science is all about.

• Volitional Personality Change
• Personality Psychology
• Adult Attachment
• +۴ مورد دیگر

Dr. Changyou Chen is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. His research focuses on Multi-Modal Learning Foundation Models Deep Generative Models Large-scale Bayesian Sampling with applications in document understanding, music-AI integration, and molecular representation learning. Research Trends revealed through his recent publications include Optimizing Multimodal Large Language Models Developing Novel Retrieval-Augmented Generation Frameworks Creating Benchmark Datasets for Visual Text Understanding Advancing Diffusion Models with Domain-Specific Constraints across domains from music sheets to biomedical documents. Scientific Contributions : UB Young Investigator Award (2020) Architect of LoCAL Framework for Long Document Understanding Co-developer of MusiXQA Benchmark Pioneering Work in Probability Contrastive Learning Academic Leadership includes mentoring 10+ graduate students and serving as Area Chair for major AI conferences (ICML, NeurIPS, AAAI, IJCAI). His Labs develop scalable solutions for multimodal reasoning, with recent work demonstrating practical GPU memory optimization through LoRA adapter sharing.

• Multi-Modal Learning
• Vision and Language
• Foundation Models
• +۷ مورد دیگر

Dr. Manuel Anglada-Tort is a Lecturer in Psychology at Goldsmiths, University of London, and a visiting researcher at the Max Planck Institute for Empirical Aesthetics. His research focuses on the psychology of cultural systems, including music, creativity, and empirical aesthetics. He combines computational methods with psychological experiments to explore cultural evolution, music perception, and the interplay of cognition and social interaction. Research Interests: Cultural Evolution Music Perception & Cognition Empirical Aesthetics Creativity Big Data Analyses Key Projects: Large-scale iterated singing experiments on music evolution Investigating weather's influence on music success Developing the REPP platform for online sensorimotor synchronization studies Teaching: MSc in Music, Mind, and Brain MSc Psychology of the Arts, Neuroaesthetics, and Creativity Affiliations: Music, Mind and Brain Group at Goldsmiths Computational Auditory Perception Group at Max Planck Institute

• Cultural Evolution
• Music Perception and Cognition
• Empirical Aesthetics
• +۳ مورد دیگر

Dr Andrea Greve is a Lecturer in the Department of Psychology at the University of Cambridge . Her research focuses on cognitive processes related to memory, prediction error, and learning mechanisms. Key areas of interest include declarative memory formation, semantic predictions, and the influence of novelty on memory retention. She has explored topics such as word learning in variable-choice paradigms, the role of hippocampal lesions in memory binding, and predictive coding in neuroimaging contexts. Her work integrates experimental psychology with neuroscience methodologies, particularly leveraging neuroimaging techniques to investigate memory systems. Notable contributions include studies on false memory effects, the nonmonotonic relationship between object-location memory and expectedness, and the impact of prior knowledge on memory encoding. Dr. Greve has also contributed to methodological advancements, such as improved MRI anonymization for MEG coregistration. While her research spans multiple decades, recent efforts (2023–2025) emphasize predictive frameworks and their applications in understanding cognitive phenomena like semantic surprise and episodic memory formation. Her findings challenge traditional assumptions about fast mapping in adults and highlight the importance of integrating computational models with empirical data. Dr. Greve collaborates extensively with neuroimaging and cognitive science teams, contributing to interdisciplinary projects that bridge theoretical and applied research in memory systems. Her work maintains a strong focus on methodological rigor, particularly in experimental design and data interpretation.

• Cognitive Psychology
• Memory Studies
• Neuroscience
• +۳ مورد دیگر

Gavin Oxburgh is a Professor of Police Science at Northumbria University and an HCPC-registered Consultant Forensic Psychologist. He holds Chartered Psychologist and Chartered Scientist statuses, and serves as Assistant Director of The Northern Hub for Veteran and Military Families Research. With 22 years in the Royal Air Force Police as a senior detective specializing in child protection and sexual offenses, he now advises globally on legal psychology and human rights. His work includes collaboration with the International Criminal Court (ICC) and contributions to the UN-led Mendez Principles on Effective Interviewing. Research focuses on legal/criminological psychology, including international human rights, non-coercive interviewing, false memories, and veterans' issues. He has secured over £5M in grants from ESRC, EPSRC, and defense-related funds. Key roles include editorial positions for Journal of Investigative Psychology and Torture Journal , and Associate Investigator status with EPSRC/GCHQ's Academic Centre of Excellence in Cyber Security Research (ACE-CSR). Professional activities include founding ETICA (Global) for ethical investigative practices and co-founding the International Investigative Interviewing Research Group (iIIRG). He trains investigators worldwide, including UN agencies, European institutions, and South African law enforcement. His qualifications include a PhD in Psychology (2011), PGCLTHE (2008), and Fellow of the British Psychological Society (FBPsS). Notable projects include studies on remote forensic interviewing during the pandemic, veteran suicide prevention, and capacity-building in counter-wildlife crime. His work emphasizes ethical interviewing techniques, cross-cultural challenges, and technology's role in modern investigations.

• Legal Psychology
• Forensic Psychology
• Investigative Interviewing
• +۴ مورد دیگر

Professor Gail S. Goodman, a Distinguished Professor of Psychology at the University of California, Davis, is a pioneering scholar in developmental psychology and psychology-law intersections. She directs the Center for Public Policy Research and has established foundational research in children's eyewitness memory and child victims' experiences in legal contexts. Ph.D., M.A., B.A. in Psychology from the University of California, Los Angeles Her research focuses on memory development and children's roles as witnesses, examining trauma-memory relationships, attachment influences, emotional regulation, and forensic interview techniques. Her work has informed legal policies and been cited in U.S. Supreme Court decisions. Key trends in her recent publications include trauma's impact on memory accuracy, false memory balancing, and courtroom dynamics for child witnesses. Her studies span developmental psychology, forensic science, and trauma recovery. 2017 APSAC Handbook chapter on child interview techniques 2017 American Psychologist review on trauma memory and counseling 2016 chapters on memory development and trauma psychopathology Professor Goodman has received numerous accolades, including APA's Urie Bronfenbrenner Award, APS's James McKeen Cattell Award, and an Honorary Doctorate from the University of Oslo. She has also earned teaching and mentoring awards at UC Davis. As Director of UC Davis's Center for Public Policy Research, she consults with global agencies on child maltreatment policies and leads interdisciplinary teams studying memory, trauma, and legal systems. Her work bridges academic research with practical applications in law and child welfare.

• Developmental Psychology
• Eyewitness Memory
• Trauma and Memory
• +۸ مورد دیگر

Deanne L. Westerman is a Professor and Cognitive Area Coordinator in the Department of Psychology at Binghamton University. Her research focuses on human memory processes, particularly recognition memory, familiarity, and attributional factors influencing memory decisions. She holds a PhD and MA from Case Western Reserve University and a BS from John Carroll University. Her work explores how perceptual and conceptual fluency impact memory judgments, with recent studies examining effects of photos/screenshots on memory impairment and emotional image processing. She has received the Chancellor's Award for Excellence in Teaching (2002-2023). Currently accepting graduate students for Fall 2024. Key research areas: Recognition memory, metamemory, cognitive bias, and memory illusions. Methodological expertise includes experimental design, memory paradigms, and cognitive neuroscience techniques.

• Human Memory
• Recognition Memory Processes
• Cognitive Psychology
• +۳ مورد دیگر

Ullrich Ecker is a Professor in the School of Psychological Science at The University of Western Australia (UWA). He holds roles such as Associate Editor for the Journal of Applied Research in Memory and Cognition and Experimental Psychology , and serves on the ARC College of Experts (2023-2025). His academic background includes a PhD from Saarland University (Germany) and a Dipl.Psych. from the same institution. Ecker’s research focuses on misinformation, memory, and decision-making, with a particular emphasis on designing interventions to counter false information. Education: PhD, Saarland University, Germany (2007) Dipl.Psych., Saarland University, Germany (2003) Research Interests: Ecker’s work addresses the psychological mechanisms underlying misinformation, memory updating, and belief change. He explores how people process and retain false information, particularly in the context of social media and public health. Key areas include the effectiveness of debunking strategies, the cognitive underpinnings of belief persistence, and the design of interventions to enhance truth discernment. His research also intersects with societal challenges like climate change communication and public health misinformation. Awards and Recognition: Best Publication Award from the Institute for Information Literacy at Purdue University (2023) Australian Research Awards – Research Field Leader in Cognitive Science (2023) UWA Vice-Chancellor's Award for HDR Supervision (Special Commendation, 2023) School of Psychological Science Award for Research Impact and Innovation (2022) School of Psychological Science Mid-Career Research Award (2022) Grants and Projects: Ecker leads and collaborates on numerous grants, including an ARC Discovery Project (2024–2027) addressing emerging misinformation threats, and the NHMRC Special Initiative HEAL Grant (2022–2027) focusing on health and environmental change. He has also secured funding from the WA Defence Science Centre, DSTG, and the Worldwide Universities Network. Notable projects include developing AI-driven tools to combat disinformation and studying misinformation’s behavioral consequences. He actively supervises PhD students in misinformation research and is open to new candidates. Teaching and Engagement: Ecker teaches Cognitive Psychology and Psychological Research Communication Skills at UWA. He is involved in community engagement, including chairing events on memory and fact-finding. His industrial collaborations focus on designing communication strategies to counter misinformation in public health and defense sectors.

• Misinformation
• Memory
• Cognitive Psychology
• +۵ مورد دیگر

Bin Nan serves as Chancellor's Professor in the Department of Statistics at the University of California, Irvine, where he develops statistical and machine learning methodologies to advance biomedical research and improve human health outcomes through rigorous data analysis. His educational credentials demonstrate a strong quantitative foundation: Ph.D. in Biostatistics, University of Washington (2001) M.S. in Biostatistics, University of Washington (1999) M.S. in Statistics, Virginia Commonwealth University (1997) M.S. in Aerospace Engineering, Beijing University of Aeronautics & Astronautics (1987) B.S. in Aerospace Engineering, Beijing University of Aeronautics & Astronautics (1984) Nan's research program focuses on developing cutting-edge statistical methods for survival analysis, longitudinal data, high-dimensional inference, and machine learning, with direct applications to epidemiology, bioinformatics, and brain imaging. His work addresses critical challenges in biomedical data such as temporal dependence in neuroimaging sequences, estimation of large correlation matrices, and analysis of disease onset with terminal events, all aimed at identifying biomarkers for earlier disease diagnosis. Analysis of his recent publications (2015-2023) reveals a consistent trajectory toward methodological innovation in handling complex biomedical data structures, particularly through de-biased lasso techniques for survival models, neural network applications to censored data, and specialized approaches for longitudinal data with terminal events. These advances predominantly support Alzheimer's disease research and transplant outcome studies. No specific scientific awards were documented in the source material. His research program maintains continuous funding through National Science Foundation and National Institutes of Health grants, including a recent $1.8 million award for Alzheimer's disease methodology development. Nan actively collaborates with the UCI Alzheimer's Disease Research Center and UCI Center for the Neurobiology of Learning and Memory, though student advising details were not provided. His teaching portfolio includes advanced graduate courses in probability theory, survival analysis, and high-dimensional inference. Nan operates within interdisciplinary biomedical research teams focused on translating statistical innovation into clinical applications, particularly through brain imaging analysis and biomarker identification for neurodegenerative diseases.

• Survival Analysis
• Longitudinal Data Analysis
• High-Dimensional Data Analysis
• +۸ مورد دیگر

Elizabeth J. Marsh is a Professor of Psychology and Neuroscience at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences . Her work bridges cognitive psychology, neuroscience, and education, with a focus on memory accuracy, misinformation, and aging. Education: Ph.D., Stanford University (1999) B.A., Drew University (1994) Research Interests: Marsh investigates how memory can be both accurate and erroneous, exploring questions like why people misremember facts, how fiction influences memory, and how aging affects decision-making and belief formation. Her work intersects with social psychology , developmental psychology , and educational psychology . Scientific Awards: Langford Lecture Award (2010) Grants & Funding: Aging and Finding Information: Using Google vs. Relying on Other People (2015–2025) Effects of Aging on Episodic Memory-Dependent Decision Making (2018–2025) When are pictures worth a thousand words? Debunking misinformation with images (2022–2023) Advancing Artificial Intelligence for the Naval Domain (2018–2023) Leveraging Older Adults' Social Goals to Improve Memory and Strategy Use (2018–2020) Exploring the potential of essay testing for improving memory and learning (2013–2019) Courses Taught: PSY 990: Special Readings in Psychology PSY 765S: Psychology and Neuroscience Grant Writing PSY 755: Research Practicum PSY 724S: Survey of Current Topics in Psychology and Neuroscience II PSY 723S: Survey of Current Topics in Psychology and Neuroscience I PSY 102: Cognitive Psychology: Introduction and Survey NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation

• Cognitive Psychology
• Memory
• Misinformation
• +۷ مورد دیگر

Elizabeth F. Loftus is a Distinguished Professor at the University of California, Irvine with appointments in the Department of Psychology and Social Behavior, Department of Criminology, Law, and Society, and Department of Cognitive Sciences. She also holds affiliate professor appointments in Psychology and Law at the University of Washington. As a Fellow of the Center for the Neurobiology of Learning and Memory, she maintains active research programs across multiple disciplines. Dr. Loftus's research focuses on the malleability of human memory, particularly in legal contexts. Her pioneering work on the misinformation effect demonstrates how memories can be altered by post-event information, with profound implications for eyewitness testimony. She has extensively studied false memories, repressed memory phenomena, and the creation of memory distortions through suggestion, hypnosis, and other therapeutic techniques. Her research has challenged conventional wisdom about memory reliability and has been instrumental in legal cases involving eyewitness testimony. Analysis of her recent publications reveals consistent themes in cognitive psychology and legal applications, with particular emphasis on memory distortion mechanisms, source monitoring failures, and the creation of false memories through suggestion. Her work spans experimental psychology, legal psychology, and clinical applications, demonstrating how memory can be manipulated in predictable ways. Grawemeyer Award in Psychology (2005) American Psychological Association Award for Distinguished Scientific Applications of Psychology (2003) Member, American Academy of Arts and Sciences Member, National Academy of Sciences (U.S.) Dr. Loftus has been central to numerous high-profile legal cases involving memory reliability, including the Eileen Franklin case where she served as an expert witness. Her research has influenced legal standards for evaluating eyewitness testimony and has prompted critical examination of recovered memory therapy practices. She has been involved in litigation concerning false memory syndrome and therapeutic malpractice, with her research cited in numerous court cases. At UC Irvine, she collaborates with researchers in the Center for the Neurobiology of Learning and Memory, bridging cognitive psychology with neuroscience approaches to memory research.

• Memory Psychology
• Eyewitness Testimony
• False Memory Research
• +۵ مورد دیگر