جست‌وجوی استاد و پژوهشگر

• Adaptive Rationality
• Decision Making
• Cognitive Psychology
• +۳ مورد دیگر

Ana Sofia Morais is a researcher and science communicator at the Max Planck Institute for Human Development in Berlin, Germany, specializing in adaptive rationality and cognitive decision-making processes. She is actively affiliated with the Adaptive Rationality research team and maintains ongoing contributions to psychological methodology and semantic memory research through publications and science communication. Her academic background includes: PhD in Psychology from Humboldt University, Berlin (2010) Licenciatura in Psychology from University of Lisbon (2004) Morais' research program centers on the intersection of adaptive rationality and real-world decision-making, with particular emphasis on experimental methodology biases, semantic memory architecture, and career decision analysis in academia. Her work bridges theoretical cognitive psychology with practical applications in scientific practice and higher education, examining how cognitive tools shape research outcomes and professional development pathways. Her publication trajectory reveals consistent focus on methodological rigor in psychological science, evolving from foundational semantic memory mapping (2013) to contemporary critiques of experimental neutrality (2022). The research demonstrates interdisciplinary integration across cognitive psychology, decision science, and higher education studies, with growing emphasis on the sociological dimensions of scientific practice. She actively participates in the Adaptive Rationality research ecosystem at the Max Planck Institute, contributing to both empirical research and science communication initiatives that translate complex cognitive concepts for broader audiences.

• Judgment and Decision-Making in a Social World
• Adaptive Judgment and Decision-Making
• Risky Decisions
• +۵ مورد دیگر

Thorsten Pachur is a Professor for Behavioral Research Methods at the Technical University of Munich (since 2022) and a Senior Research Scientist at the Max Planck Institute for Human Development in Berlin. His work focuses on judgment and decision-making, particularly in social contexts, adaptive rationality, and risky choices. He has led projects such as " Simple decision-making strategies " and " Search and Learn " at the Max Planck Institute. Education : Habilitation (2012, University of Basel), PhD in Psychology (2006, Free University of Berlin), Dipl.-Psych. (2002, Free University of Berlin), MSc in Health Psychology (2002, University of Sussex) Research Themes : Pachur investigates how social memory structures influence decision-making, the toolbox of cognitive strategies in risky choices, and the role of attentional processes in decisions. His work bridges prospect theory and heuristic models , examining how attention shapes probability weighting and outcome evaluation. Scientific Contributions : Recent publications include studies on the description-experience gap in intertemporal choices, age differences in risk perception , and attentional biases in sequential sampling . His 2024 work on COVID-19 vaccine refusal highlights deliberate ignorance and cognitive distortions. Scientific Awards : 2017 Fellow of the Association for Psychological Science (APS), 2001 DAAD Scholarship, 2005 Max Planck Postdoctoral Fellowship Grants : Funded by the Swiss National Science Foundation (SNSF), German Research Foundation (DFG), and Biäsch Foundation Editorial Roles : Consulting Editor for Journal of Experimental Psychology: Learning, Memory, and Cognition (2013–2025), Associate Editor for Cognitive Psychology (2025–), and member of boards for journals including Decision and Psychological Review .

Iwona Chomiak-Orsaمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Digital Transformation
• +۵ مورد دیگر

Prof. Iwona Chomiak-Orsa is a distinguished academic at the Department of Business Intelligence in Management, Wrocław University of Economics. Her work spans interdisciplinary research in artificial intelligence, digital transformation, and sustainable development. She focuses on leveraging AI for education, healthcare, and legal systems while addressing ethical and practical challenges in technology adoption. Affiliation: Wrocław University of Economics (Wroclaw, Poland) Key Research Areas: AI applications, data science education, smart city technologies, and ICT-driven business processes Her recent publications highlight trends in AI ethics, digital entrepreneurship sustainability, and the integration of technology into judicial and medical systems. Prof. Chomiak-Orsa actively contributes to policy frameworks for Industry 5.0 and net-zero strategies, emphasizing holistic organizational readiness. She explores innovative ICT solutions for smart cities, including energy management and parking optimization using digital twins. Her work bridges theoretical models with practical implementations in legal informatics and educational platforms.

Maria Perdikogianniمشاهده پروفایل

مدرس

• Clinical Communication Skills
• Health Issues (Smoking, Drug Abuse)
• Child Abuse
• +۳ مورد دیگر

Maria Perdikogianni is a Lecturer of Clinical Communication at the University of Nicosia Medical School. She holds undergraduate degrees in Psychology and English Literature from New York University (NYU), and graduate degrees in Applied Educational Psychology and Child Play Therapy from NYU and the Martha K. Selig Educational Institute. She is currently pursuing a PhD in Clinical Communication Skills. With over 20 years of experience, she has worked as a therapist in the US and Cyprus, specializing in adults, children, families, and individuals with intellectual challenges. She is an external associate of the Association for the Prevention and Handling of Violence in the Family in Cyprus, and has conducted lectures, parent trainings, and group therapy sessions. Her research focuses on clinical communication skills, health issues (e.g., smoking, drug abuse), child abuse, child and women trafficking, children’s emotional/social well-being, and psychotherapy. She has contributed to medical education through studies on student perceptions of clinical communication training and curriculum design in psychology and problem-based learning (PBL). Her work also explores themes such as epilepsy pioneers in Cyprus, qualitative research methodologies, and childhood memory phenomena like infantile amnesia. Maria’s professional narrative encompasses behavioral modification training, organized parent education programs, and interdisciplinary collaboration in healthcare and education. Her academic contributions span medical curriculum development, assessment strategies in PBL, and the integration of psychotherapy into medical practice.

Brian Strongمشاهده پروفایل

استادیار

• Second Language Acquisition
• TESOL Methodology
• Formulaic Language Learning
• +۴ مورد دیگر

Brian Strong is an Assistant Professor in the School of Linguistics and Language Studies at Carleton University. His research focuses on second language vocabulary learning, particularly phrasal verbs, from cognitive linguistics and psychology perspectives. He holds a Ph.D. in Applied Linguistics from Victoria University of Wellington and an M.A. in TESOL from the University of Birmingham. With over 20 years of teaching experience in Japan, New Zealand, and other countries, Strong has taught English for Academic Purposes (EAP), English for Specific Purposes (ESP), Advanced Oral Communication, and English Language Training for Officials (ELTO). His work emphasizes pedagogical methods for teaching formulaic language and the cognitive processes underlying second language acquisition. Recent research trends in Strong's publications (2019–2024) consistently address phrasal verb learning strategies, comparing exercise formats (e.g., gap-fill, trial-and-error, retrieval practice) and their impact on non-native learners. His studies highlight the role of errors in learning and the effectiveness of retrieval-based techniques. No scientific awards are explicitly mentioned in the provided text. His presentations span international venues including AAAL, TESOL Quarterly conferences, and specialized vocabulary symposia like Vocab@Leuven and Vocab@Vic. Strong has also contributed to textbook exercise evaluations and materials development for second language instruction.

Cassandra Davisمشاهده پروفایل

استادیار

• Consumer Behavior
• Consumer Psychology
• Marketing Ethics
• +۷ مورد دیگر

Cassandra Davis is an Assistant Professor of Marketing at the Mike Ilitch School of Business, Wayne State University. She holds a Ph.D. in Business Administration from the University of Arkansas and teaches core courses in Consumer Behavior and Consumer and Industrial Buying Behavior at both undergraduate and graduate levels. Education: Ph.D., Business Administration, University of Arkansas, 2016 M.B.A., Finance, Rockhurst University, 2009 B.A., International Relations, University of Missouri-Columbia, 2004 B.S., Business Administration, University of Missouri-Columbia, 2004 Her research focuses on consumer behavior with an emphasis on psychological, ethical, and public policy dimensions. Key areas include aging and memory, empathy in service experiences, mental health stigma, and food marketing. Her work often explores how emotional and cognitive factors influence consumer decisions, particularly in vulnerable populations. Her recent publications span journals such as the Journal of Advertising , Journal of Public Policy & Marketing , and Cornell Hospitality Quarterly . The articles reflect a strong interdisciplinary trend, integrating marketing with psychology, public health, and ethics. Themes include the impact of natural labeling on vice products, empathy induction in hospitality, and stigma in marketplace contexts. Scientific Awards: No awards listed in the provided text. Professor Davis is actively involved in teaching and research but there is no explicit mention of student advising, grants, or leadership of a research lab. She contributes to academic discourse through high-impact publications and engagement with public policy issues in marketing.

Raquel Campos Valverdeمشاهده پروفایل

پژوهشگر ارشد

• Popular Music
• Ethnomusicology
• Internet Studies
• +۷ مورد دیگر

Dr. Raquel Campos Valverde serves as a Postdoctoral Research Fellow at the School of Media and Communication, University of Leeds, where she investigates digital music cultures through the MUSICSTREAM project. Her work bridges Popular Music studies, Ethnomusicology, and Internet Research with a focus on user experiences in streaming ecosystems and social media environments, particularly within Spanish cultural contexts. Her academic foundation includes: PhD in Arts and Creative Industries from London South Bank University (2019) MMus in Ethnomusicology from SOAS, University of London BHons in Sociology from Universidad de Granada, Spain Campos Valverde's research critically examines how digital infrastructures shape musical experiences, with current emphasis on cultural inequality in streaming taxonomies and algorithmic recommenders. She employs digital ethnography to analyze music circulation across social platforms, exploring moral economies of sharing and imagined listening communities. Her scholarship reveals persistent tensions between platform design and cultural diversity, highlighting how technical architectures reinforce systemic biases in music discovery and consumption. Analysis of her publication trajectory shows evolving focus from social media musicking (2018-2022) toward critical platform studies (2023-2025), with consistent attention to ethical implications of digital music environments. Recent work demonstrates sophisticated interdisciplinary methodology combining interface analysis, ethnographic observation, and critical algorithm studies. Her recognition includes: 2019 Andrew Goodwin Memorial Postgraduate Prize from IASPM UK/Ireland Campos Valverde maintains active engagement with academic communities through editorial contributions to the Open Encyclopedia of Anthropology and IASPM Journal. Her prior teaching role at King's College London demonstrates commitment to knowledge dissemination, while her current research directly addresses urgent questions about equity in digital cultural infrastructure. The MUSICSTREAM project positions her at the forefront of critical platform studies within music scholarship. As core researcher in the MUSICSTREAM initiative, she collaborates with interdisciplinary teams to deconstruct streaming platform architectures, producing actionable insights for more inclusive music technology design through rigorous ethnographic and critical technical approaches.

Miao Qiaoمشاهده پروفایل

مدرس

• Data Science
• Graph Analytics
• Brain Network Analytics
• +۲ مورد دیگر

Miao Qiao is a faculty member at the School of Computer Science , University of Auckland , where she has worked since 2018. Her research bridges theoretical and applied aspects of data science and management , focusing on vector data management , graph search and analytics , and brain network analytics . Research Interests : Data Science, Graph Analytics, Brain Network Analytics Grants : Royal Society of New Zealand (NZD 300,000, 2018–2024): Subgraph Matching: Theory and Practice The Ministry of Business, Innovation and Employment (NZD 3,000,000, 2020–2024): Advanced Graph Analytics for Human Brain Connectivity Professional Services : Review Board Member, PVLDB 2021 Program Committee Member: PODS 2023, ADC 2018, IJCAI 2019–2021, CIKM 2019, AAAI 2020–2021 Invited Reviewer: SCG 2019, TODS 2015–2019, TKDE 2018–2021, KDD 2016, ICDM 2013–2014, WISE 2013, VLDBJ 2013–2021, NIPS 2021 Program Chair: ISWC Doctoral Consortium 2019, ADC 2021 Teaching : Database Systems (2017–2023) Algorithms for Massive Data (2018–2019) Systems Analysis and Modeling (2016–2018) Algorithms (2017–2018) Scientific Awards : PREMIA Best Student Paper Honourable Mention Award VLDB 2013 Travel Fellowship Shanghai Jiao Tong University 1st Class Scholarship ACM/ICPC 3rd Place, Singapore Computer World Scholarship Singapore Technology Engineering Scholarship ACM/ICPC 1st Place, Korea Silver medal, National Olympiad in Informatics, China

Lisa Blalockمشاهده پروفایل

استاد

• Visual Working Memory
• Spatial Cognition
• Cognitive Psychology
• +۳ مورد دیگر

Lisa Blalock serves as Professor and Chair of the Department of Psychology within the Usha Kundu, MD College of Health at the University of West Florida. Her academic home is Building 41, Room 253, where she leads the Visual Cognition Lab. Her educational background includes a B.S. in Psychology from the University of Central Florida and Ph.D. in Cognitive Psychology from Colorado State University. These foundations support her expertise in visual information processing. Dr. Blalock's research centers on visual and spatial working memory mechanisms , examining how humans encode, maintain, and retrieve visual information. Her work bridges basic cognitive processes with real-world applications like driving safety and training systems. Key interests include the interaction between visual working memory and attentional systems, the role of long-term memory in short-term processing, and how expertise development affects cognitive performance. Her lab actively investigates how familiarity with stimuli enhances memory consolidation and how cognitive load impacts situational awareness. Analysis of her recent publications reveals strong continuity in visual working memory research with expanding applications to educational technology and human factors. Her work increasingly integrates crossmodal cues and practical training systems while maintaining rigorous experimental cognitive methodology. Dr. Blalock mentors undergraduate students through hands-on research experiences in the Visual Cognition Lab, emphasizing practical skill development. Her teaching portfolio includes Research Methods I, Professional Development in Psychology, Memory & Cognition, and Sensation & Perception courses that bridge theoretical knowledge with applied practice. The Visual Cognition Lab focuses on how humans process and represent visual information, particularly examining object memory in short-term systems and how attentional and long-term memory processes influence these representations. The lab provides opportunities for student involvement through volunteering and study participation.

• Data Science
• Machine Learning
• Natural Language Processing

Michael Bloodgood is an Associate Professor of Computer Science in the Department of Computer Science at The College of New Jersey (TCNJ), part of the School of Science. He has been actively contributing to the academic community at TCNJ since joining as one of six new full-time faculty members in 2016, as noted in a TCNJ Science news article from August 2016. Dr. Bloodgood earned his Ph.D. in Computer Science from the University of Delaware in 2009. His academic journey has led him to become a respected researcher and educator specializing in data-intensive computational fields. Dr. Bloodgood's research primarily focuses on data science, machine learning, and natural language processing . His work bridges theoretical computer science with practical applications, particularly in text classification, active learning methodologies, and computational linguistics. He has developed innovative approaches to stopping criteria in active learning systems, translation lexicon acquisition for low-resource languages, and methods for improving cognates detection through global constraints. His research often involves undergraduate student collaborators, reflecting TCNJ's emphasis on mentored research experiences. Dr. Bloodgood has received multiple Mentored Undergraduate Student Experience (MUSE) Awards (2024, 2022) and a Support of Scholarly Activities (SOSA) Award (2023) from TCNJ, recognizing his commitment to undergraduate research mentorship. His papers have been finalists for Best Paper at the IEEE International Conference on Semantic Computing (ICSC) in 2022 and 2020, demonstrating the quality and impact of his scholarly work. As an educator, Dr. Bloodgood teaches a range of courses including Machine Learning (CS 426), Natural Language Processing (CS 427), and Mentored Research. He serves on multiple departmental and college committees, including the Computer Science Promotion and Reappointment Committee (as Chair for 2024-2025) and the Mentored Research and Internships Council. His dedication to student research is evident through his active recruitment of TCNJ students for mentored research projects, with dedicated web pages for research projects, mentees, and funding opportunities.

Monica Lestari Paramitaمشاهده پروفایل

مدرس

• Bias and transparency in information retrieval
• Multilingual information access
• Cross-lingual similarity in Wikipedia
• +۳ مورد دیگر

Dr. Monica Lestari Paramita is a Lecturer in Data Science at the School of Information, Journalism and Communication , University of Sheffield. She obtained her BSc in Computer Science (2006) from the University of Indonesia, followed by an MSc (2008) and PhD (2019) in Information Management from the University of Sheffield. BSc in Computer Science, University of Indonesia (2006) MSc in Information Management, University of Sheffield (2008) PhD in Information Management, University of Sheffield (2019) Dr. Paramita's research focuses on bias and transparency in information retrieval , with a particular interest in designing bias-aware search engines and advancing multilingual information access . Her work explores cross-lingual similarity in Wikipedia, aiming to develop methods for measuring such similarities and understanding their implications for diverse user groups. Her recent publications address topics like algorithmic bias , user awareness , and multilingual NLP . These works span areas including AI ethics , digital scholarship , and cultural heritage access , often integrating participatory design and search engine evaluation . Dr. Paramita contributes to teaching modules such as INF113 - Data-Driven Organisations , INF214 - Using Data for Responsible Decision Making , and postgraduate courses on information retrieval and data science. She also co-leads the Shef.AI Interest Group on Fairness, Accountability, Transparency, and Ethics (FATE) in AI.

Pooja K. Agarwalمشاهده پروفایل

استادیار

• Cognitive Psychology
• Science of Learning
• Retrieval Practice
• +۵ مورد دیگر

Pooja K. Agarwal, Ph.D., is an Assistant Professor in the Department of Liberal Arts and Sciences at Berklee College of Music, where she teaches psychological science to undergraduate musicians. She is a cognitive scientist with over 20 years of research experience in the science of learning, particularly retrieval practice, and is the founder of RetrievalPractice.org, a resource used by over 25,000 educators worldwide. Her educational background includes a Ph.D. (2011), M.A. (2009), and B.A. (2005), all from Washington University in St. Louis, in Cognitive Psychology and Neuroscience. Dr. Agarwal's research focuses on evidence-based learning strategies such as retrieval practice, spaced learning, and metacognition. Her work bridges cognitive science and classroom practice, aiming to make scientific findings accessible and practical for educators. She emphasizes the importance of translating laboratory research into real-world classroom applications to improve student learning across diverse populations. Her recent publications reveal a consistent focus on retrieval practice and its impact on memory, test performance, and student well-being. Themes include the benefits of quizzing, test anxiety reduction, transfer of learning, and the application of cognitive principles in K–12 and higher education settings. Her research spans multiple disciplines, including educational psychology, cognitive science, and classroom assessment. Berklee College of Music Inclusive Teaching and Learning Grant Berklee College of Music PED Dean's Award for Creative Scholarship and Professional Contributions Association for Psychological Science (APS) Rising Star Award American Psychological Association (APA) Graduate Student Researcher Award Illinois Mathematics & Science Academy (IMSA) Alumni Titan Award National Science Foundation (NSF) Graduate Research Fellowship Harry S. Truman Foundation Scholarship Dr. Agarwal is a sought-after speaker and consultant, having delivered keynotes such as at SXSW EDU 2022. She has authored influential books including Powerful Teaching: Unleash the Science of Learning and Smart Teaching Stronger Learning , and has contributed to numerous practice guides for teachers. While no formal advisees are listed, her work has profoundly influenced educators globally through her outreach, publications, and professional development workshops. She does not appear to lead a formal research lab but collaborates extensively with cognitive scientists and educators.

Leslie Rollinsمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Neuroscience
• Memory Development
• +۷ مورد دیگر

Leslie Rollins is an Associate Professor in the Department of Psychology and the Neuroscience Program at Christopher Newport University (CNU), located in Forbes Hall 1051. She contributes significantly to both teaching and research in cognitive and developmental psychology. Education: Ph.D. in Developmental Psychology, University of Maryland, College Park M.S. in Developmental Psychology, University of Maryland, College Park B.A. in Psychology and Philosophy, Randolph-Macon College Her research centers on the neural and cognitive mechanisms underlying memory development in children. She employs advanced methodologies such as behavioral experiments, eye-tracking, and event-related potentials (ERPs) to investigate how recognition memory, autobiographical memory, and face processing evolve from childhood through adulthood. Her work bridges developmental psychology with cognitive neuroscience, focusing on both typical development and affective influences on memory. Leslie Rollins's recent publications (2017–2023) reflect a consistent focus on memory development, with particular emphasis on recognition accuracy, false memory, mnemonic discrimination, and the emotional aspects of autobiographical recall. Her studies frequently compare children and adults, using neurocognitive tools like ERP to identify age-related differences in brain activity during encoding and retrieval. Key themes include the own-age bias in face recognition, the fading affect bias, and the impact of animacy on memory. Scientific Grants: Leslie Rollins, Nicole Guajardo, Angela Spranger — "ADVANCE Catalyst: Self-assessment to Establish Equity Among STEM Faculty at a Public Liberal Arts Institution," sponsored by the National Science Foundation She mentors students through research and teaches core courses such as Cognitive Psychology, Developmental Psychology, Neuroscience, and Research Methods. While no formal list of advisees is provided, her active research and grant involvement suggest engagement with undergraduate and possibly graduate-level research trainees. She also contributes to institutional efforts in promoting equity in STEM through her NSF-funded project. Laboratory and Research Team: While not explicitly named, her use of ERP and eye-tracking suggests she leads or co-leads a developmental cognitive neuroscience lab at CNU, likely involving student researchers in data collection and analysis.

• Cognitive Psychology
• Memory Dynamics
• Science of Learning
• +۱۲ مورد دیگر

Andrew C. Butler is a Professor in the Department of Education and the Department of Psychological & Brain Sciences (by courtesy) at Washington University in St. Louis. He serves as Director of the St. Louis Translational Fellows in Education program and leads the Memory Dynamics Laboratory. He teaches undergraduate and graduate courses at the intersection of psychological science and education. His research focuses on the malleability of memory, particularly how retrieval processes influence memory content and phenomenological characteristics such as confidence, vividness, and emotional intensity. Key areas include higher-order learning, error correction, self-regulated learning, motivation, and the impact of contextual factors like knowledge domain and individual differences. His work spans laboratory, classroom, and online environments, employing diverse methodologies including experimental, longitudinal, and mixed methods. His recent publications reveal a strong trajectory in retrieval-based learning, memory stability, educational applications of cognitive science, and methodological innovation. Themes include the spacing effect, technology in learning, collective memory, and open science. He emphasizes equity, diversity, and inclusion in research design and practice. Fellow of the Association for Psychological Science Fellow of the Psychonomic Society J. Don Read Early Career Award (Society for Applied Research in Memory and Cognition) Emerson Excellence in Teaching Award Dr. Butler has secured over $8 million in research funding from the James S. McDonnell Foundation, Spencer Foundation, and National Institute for Mental Health. He has advised postdoctoral researchers through the Translational Fellows program and is accepting new doctoral students. He has served as Associate Editor for the Journal of Applied Research in Memory and Cognition and on editorial boards of leading journals including Educational Psychology Review and Journal of Experimental Psychology: Learning, Memory, and Cognition. He previously chaired the Department of Education and served as its Director of Graduate Studies. He leads the Memory Dynamics Laboratory, which investigates memory change and stability using diverse methods across multiple contexts. The lab emphasizes open science, reproducibility, and inclusive research practices. It trains graduate students and postdoctoral researchers in translational educational research through research-practice partnerships.

Glen Bodnerمشاهده پروفایل

دانشیار

• Memory
• Metacognition
• Recognition Memory
• +۵ مورد دیگر

Associate Professor Glen Bodner holds a position at Flinders University's College of Education, Psychology and Social Work, Department of Psychology. Previously, he served as Professor of Psychology at the University of Calgary (2014–2018) and held various roles including Visiting Researcher at the University of Victoria (2011). His research focuses on memory accuracy, subjective experiences during cognitive processing, metacognition, and the production effect in memory. He collaborates internationally and contributes to the Canadian Journal of Experimental Psychology as an Associate Editor. Key research interests include how encoding and retrieval factors influence memory, with an emphasis on false memory and recognition processes. Bodner’s work also explores applications of visual arts therapy for trauma and cognitive biases in decision-making. His recent studies analyze neural mechanisms (e.g., fMRI) and EEG-based methods to understand memory processes. Over 70 publications span meta-analyses, experimental studies, and reviews, reflecting his engagement with both theoretical and applied psychology. He is affiliated with Flinders University’s Institute for Mental Health and Wellbeing, emphasizing translational research impacting mental health outcomes. His current projects seek student collaborators to advance understanding in memory and cognitive psychology.