جست‌وجوی استاد و پژوهشگر

Ralph Reddenمشاهده پروفایل

استادیار

• Attention Mechanisms
• Cognitive Psychology
• Behavioral Neuroscience
• +۳ مورد دیگر

Ralph Redden is an Assistant Professor of Psychology at St. Francis Xavier University , where he leads the Experimental & Translational Attention Lab (ETAL) . His work combines behavioral, neuroimaging, and computational approaches to study how attention mechanisms influence decision-making and action. He actively promotes open science practices and inclusive scientific processes. Current Research: Explores attentional networks, inhibition of return (IOR), and their ecological validity in real-world scenarios. Teaching: Offers courses in Intro Psychology, Attention, and Cognition. Previously taught at Dalhousie University and University of Alberta. Recent Student Highlights: Mentored honours students Julia Byron and Jack Lukeman on projects examining attentional predictors of bullying intervention and cueing effects in spatial tasks. Veda Haggarty's 2023/24 thesis on attachment styles and attention networks was presented at CPA and VSS conferences. Scientific Awards: 2021 President's Award for Graduate Student Teaching Collaborations: Works with Dr. Laura Lambe (StFX), Dr. Dana Hayward (VASP Lab), and Dr. Kyle Mathewson (AP&P Lab). Maintains ongoing ties with Dalhousie University labs.

Souvick Ghoshمشاهده پروفایل

استادیار

• Conversational Search Systems
• Database and Other Retrieval Systems
• Human Information Behavior
• +۱۰ مورد دیگر

Souvick Ghosh is a Tenure-Track Assistant Professor at the School of Information, San Jose State University. His research focuses on conversational search systems, human-computer interaction, and information retrieval, integrating machine learning and natural language processing to enhance interactive information-seeking environments. Ph.D. : Communication, Information, and Media Studies, Rutgers University (2020) M.S. : Computer Science and Engineering, Jadavpur University (2016) B.S. : Computer Science and Engineering, Jadavpur University (2011) His research interests include conversational search systems, database and retrieval systems, human information behavior, human-computer interaction, information retrieval theory and practice, information systems and technologies, information visualization, and research methods. He applies machine learning, natural language processing, and deep neural networks to develop intelligent functionalities in voice-based and interactive environments. His recent publications span topics such as conversational agents, question quality in social Q&A, citation sentiment, and learning-oriented search. These works appear in top venues like HICSS, ASIS&T, SIGIR, and CHIIR, reflecting a consistent focus on improving user-system dialogues, modeling search behavior, and designing human-centered conversational systems. Outstanding Graduating Student Award, Rutgers University (2020) Ghosh has taught graduate and undergraduate courses in data science, programming, and information technology at both SJSU and Rutgers. He leads the ICANN Lab, where he mentors students and conducts ongoing research in conversational AI and information systems. His work emphasizes technology for social good, with applications in education, accessibility, and equitable information access.

• Cognitive Aging
• Visual Attention
• Visual Short-term Memory
• +۴ مورد دیگر

Dr. Iris M. Wiegand serves as Assistant Professor in Neuropsychology and Rehabilitation Psychology at Radboud University and holds dual Associate Principal Investigator roles at the Donders Centre for Cognition and Donders Institute for Brain, Cognition and Behaviour. Her research examines cognitive aging through the lens of visual attention and memory systems, utilizing advanced neuroimaging techniques to investigate lifelong cognitive plasticity. Her work centers on how visual short- and long-term memory processes evolve across the lifespan, with particular focus on preserved cognitive functions in older adults. Key investigations include hybrid visual-memory search resilience, electrophysiological correlates of memory systems, and neural network plasticity in aging populations. This research bridges fundamental cognitive neuroscience with clinical rehabilitation applications. Publication trends (2017-2025) reveal consistent methodological rigor using EEG and neuroimaging to dissect visual memory mechanisms in aging. Recent work demonstrates remarkable preservation of hybrid search capabilities in older adults while identifying nuanced neural correlates that vary with cognitive development history, challenging simplistic decline models of aging cognition. Major recognitions include: Open Competition XS Grant, NWO (2023 & 2025) Startersbeurs (NWO Starting Grant for Assistant Professors) (2023) EU Horizon 2020 Marie Skłodowska-Curie Individual Global Fellowship (2017) MOBILEX Mobility Postdoc Grant (Danish Research Council/FP7 EU) (2014) Her grant portfolio demonstrates exceptional success in securing competitive funding from Dutch and European sources, enabling sophisticated investigations into cognitive aging mechanisms. While specific advisees aren't listed, her teaching responsibilities for Brain & Cognition courses indicate active graduate student supervision within clinical neuropsychology programs. Dr. Wiegand operates within the Cognitive Aging research group at the Donders Centre for Cognition, collaborating across disciplines to advance understanding of brain-behavior relationships throughout the human lifespan through integrated experimental and clinical approaches.

Wouter Beekمشاهده پروفایل

پژوهشگر

• Semantic Web
• Knowledge Graphs
• Linked Data
• +۵ مورد دیگر

Wouter Beek is a post-doctoral researcher at VU University Amsterdam and co-founder of Triply . His work focuses on Semantic Web technologies and knowledge-intensive applications, particularly through large-scale knowledge bases. He has co-developed key tools like the LOD Laundromat , LOD Search , and sameAs.cc . Email: w.g.j.beek@vu.nl Email: wouter@triply.cc Research Interests : Beek specializes in Semantic Web standards, data quality, and empirical semantics. His work bridges Web semantics with pragmatics, emphasizing innovative reuse of linked data across domains like geospatial analysis and historic data. He explores formalization of meaning within knowledge graphs to enable automated interpretation. Key Projects : LOD Laundromat : Infrastructure for crawling and cleaning linked data. sameAs.cc : Service addressing entity resolution via owl:sameAs. 3D SPARQL Visualization : Enhances geo-spatial and statistical interpretation of SPARQL results. Scientific Awards : Best Resource Paper Award at ESWC 2018 for 'Near Sameness is Somewhat the Same As SameAs'. Applications : His work impacts policy-making (e.g., energy savings investment strategies), real-estate analysis, and citizen services through knowledge graph integration.

Ralf Engbertمشاهده پروفایل

استاد

• Dynamical Systems Approach to Cognition
• Attention and Eye Movements
• Biological and Mathematical Psychology
• +۳ مورد دیگر

Ralf Engbert is a Professor of Experimental and Biological Psychology at the University of Potsdam's Faculty of Human Sciences, where he leads research in eye movement control, attention, and dynamical modeling of cognitive processes. He serves as a member of the Executive Committee of the Research Focus 'Cognitive Sciences' at the university, demonstrating his leadership role in interdisciplinary research. His work bridges psychology, neuroscience, and mathematical modeling to understand fundamental cognitive mechanisms through rigorous empirical and computational approaches. Engbert received his Dr. rer. nat. in 1998 from the Department of Physics at the University of Potsdam and completed his Dipl.-Physiker in 1994 at RWTH Aachen University. His physics background has profoundly shaped his research methodology, emphasizing quantitative and mathematical approaches to psychological phenomena. This interdisciplinary foundation enables him to develop sophisticated computational models that capture the dynamic nature of cognitive processes. Professor Engbert's research program centers on the dynamical systems approach to cognition, with particular emphasis on attention and eye movements. His work integrates biological and mathematical psychology to create computational models explaining visual information processing during reading and scene viewing. Key contributions include advancing understanding of microsaccades, peripheral vision in scene perception, and Bayesian approaches to modeling eye movement control. His research frequently involves cross-disciplinary collaborations with mathematicians, computer scientists, and linguists, reflecting the integrative nature of modern cognitive science. Analysis of his recent publications reveals a clear progression toward more sophisticated dynamical modeling of eye movements, with increasing incorporation of Bayesian statistical methods. His work spans multiple domains including reading research, scene perception, and infant cognition, with a notable trend toward integrating computational modeling with empirical eye-tracking data to develop comprehensive theories of cognitive processing. This evolution reflects both methodological advances and expanding theoretical scope in his research program. Project B03 of CRC 1294: Parameter inference and model comparison in dynamical cognitive models (with Prof. Sebastian Reich) Project B05 of CRC 1294: Attention selection and recognition in scene viewing (with Prof. Tobias Scheffer) Project B03 of CRC 1287: Modeling the interaction between eye-movement control and parsing processes (with Prof. Shravan Vasishth) Mobile eye tracking: Generalizability and limitations of the static scene viewing paradigm (Lead PI: Dr. Hans A. Trukenbrod) Professor Engbert maintains an active research group within the Department of Experimental and Biological Psychology, contributing to the Potsdam Eye-Movement Corpus and other shared research resources. His laboratory combines experimental eye-tracking facilities with computational modeling expertise, supporting a pipeline from data collection to theoretical development. The group's work has significant implications for understanding fundamental cognitive mechanisms and developing applications in human-computer interaction, educational technology, and clinical assessment.

• Machine Learning
• Natural Language Processing
• Multimedia Systems
• +۳ مورد دیگر

Liao Lizi is an Assistant Professor and Lee Kong Chian Fellow at Singapore Management University's School of Computing and Information Systems. She received her Ph.D. from the National University of Singapore under Professor Tat-Seng Chua. Her research explores the intersection of Machine Learning, Natural Language Processing, and Multimedia, focusing on developing conversational AI systems. Key areas include: Proactive conversational agents that anticipate user needs Multimodal conversational search and recommendation systems Task-oriented dialogue frameworks Human-machine collaborative systems Emotional support and empathetic response generation Her publications demonstrate a strong focus on advancing conversational AI through novel architectures for dialogue planning, multimodal understanding, and knowledge-enhanced generation. Recent work shows increasing emphasis on LLM optimization, financial reasoning benchmarks, and emotional intelligence in dialogue systems. Scientific Awards: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2023 She leads the CoAgent Lab and advises multiple PhD students including recipients of the SMU Presidential Doctoral Fellowship. Current teaching includes Visual Analytics for Business Intelligence (IS428) and Text Analytics and Application (ISSS609).

Bo Luoمشاهده پروفایل

استاد

• Machine Learning Security
• Internet of Things (IoT) Security
• Cyber-Physical Systems (CPS) Security
• +۶ مورد دیگر

Bo Luo is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas . He serves as Director of the High Assurance and Secure Systems (HASS) Research Center within the Institute for Information Sciences (I2S) , a National Center of Academic Excellence in Cyber Defense and Research by the National Security Agency. Education: Ph.D. in Information Sciences and Technology, Pennsylvania State University (2008) M.Phil. in Information Engineering, Chinese University of Hong Kong (2003) B.E. in Electronic and Information Engineering, University of Science and Technology of China (2001) His research focuses on security and privacy at the intersection of data science, AI/ML, IoT/CPS, and network security . Current projects include adversarial machine learning, privacy compliance in smart devices, and hardware-enabled security solutions. He leads the InfoSec Research Group , mentoring students in areas like IoT security, deep learning vulnerabilities, and cryptographic systems. Recent article trends highlight IoT device vulnerabilities (2025), privacy compliance in automotive apps (2024), adversarial AI-art detection (2024), and secure computation frameworks (2024). His work appears in top venues like ACM CCS , USENIX Security , and IEEE TDSC . Scientific Recognition: ACSAC 2021 Distinguished Paper Award ACSAC 2017 Best Paper Award CCS 2022 Best Paper Honorable Mention ICPC 2024 Distinguished Paper As Principal Investigator for the Jayhawk SFS CyberCorps Scholarship , he trains future cybersecurity professionals. His lab collaborates on cyber-physical security and AI safety , with alumni placed at institutions like Beloit College, Apple, and Amazon.

Colin Stargerمشاهده پروفایل

استاد

• Legal Technology
• Pretrial Detention and Bail
• Constitutional Law
• +۷ مورد دیگر

Colin Starger is a Professor of Law and Director of the Legal Data & Design Clinic at the University of Baltimore School of Law. He has been a faculty member at UBalt since 2010, bringing expertise in legal technology, constitutional law, criminal procedure, and pretrial justice issues. Starger received his J.D. from Columbia University and his B.A. from the University of California at Los Angeles. Prior to joining UBalt, he served as an Acting Assistant Professor of Lawyering at New York University School of Law, clerked for Magistrate Judge Michael Dolinger in the Southern District of New York, and worked as a Staff Attorney at the Innocence Project at Cardozo Law School from 2003-2007, where he was lead counsel on four DNA exonerations including one from Oklahoma's death row. Professor Starger specializes in the intersection of law and technology, with particular focus on pretrial detention and bail reform, constitutional law, criminal procedure, civil procedure, innocence and wrongful convictions, jurisprudence, and legal rhetoric. His work combines traditional legal scholarship with innovative technological approaches to legal problems, particularly through data analysis and visualization of legal doctrine. Starger's scholarly output demonstrates a consistent focus on Supreme Court doctrine mapping, constitutional rights, pretrial justice, and the application of technology to legal problems. His recent work addresses contemporary issues such as automated vehicles, structural racism in pretrial systems, and the constitutional implications of bail practices. His methodology often involves visual mapping of legal doctrine and the application of data analysis to legal questions. Jane Marks Murphy Prize (for Clinical Excellence) from Columbia University Law School Named to Fastcase 50 in 2014 Recognized as an American Bar Association "Legal Rebel" in 2020 Starger directs the Legal Data & Design Clinic and co-founded the Pretrial Justice Clinic at UB School of Law in 2016 with former student Zina Makar. Through these clinics, he has mentored numerous law students in using data analysis to identify patterns of unfair detention practices in Maryland courts. His work with the SCOTUS Mapping Project has provided students with innovative tools to understand and visualize the evolution of Supreme Court doctrine. Starger has secured grants to support his clinic work and technological initiatives in legal education.

Jessica Remediosمشاهده پروفایل

دانشیار

• Social Cognition
• Intersectionality
• Stigma
• +۱ مورد دیگر

Jessica Remedios is Associate Professor of Psychology at Tufts University and Director of the Social Identity and Stigma Lab. She earned her PhD from University of Toronto in 2012. Research Focus: Examines how people with multiple stigmatized identities are perceived and cope with prejudice. Integrates social cognition methods to study stereotype impact under identity complexity. Key Contributions: Developed identity-threat models of discrimination attribution showing women of color anticipate both gender and racial bias from single cues. Revealed how multiracial categorization maintains racial hierarchies through proximity-to-whiteness judgments. Publication Trends: Recent work (2023-2025) investigates skin-tone biases, academic stigmatization of 'me-search', and representation gaps in psychological science. Earlier studies established foundations in multiracial perception and intersectional discrimination. Leadership: Fellow of the Society for Experimental Social Psychology. Advocates for inclusive publishing practices through collaborative anti-racism guidelines.

Julia Wolskaمشاهده پروفایل

مدرس

• Developmental Psychology
• Socio-Cognitive Development
• Intergenerational Trauma
• +۴ مورد دیگر

Dr. Julia Wolska is a Lecturer in Psychology at Manchester Metropolitan University and a member of the Institute of Children's Futures . She holds a PhD in Psychology from the University of Birmingham (2020) and a PGCert in Learning and Teaching in Higher Education from MMU (2021). Her academic service includes roles on ED&I committees and as a Psych Chatter facilitator at MMU. BSc Psychology, University of Cologne (2015) MSc Psychological Research, University of Warwick (2016) PhD Psychology, University of Birmingham (2020) PGCert Learning and Teaching in Higher Education, MMU (2021) Julia's research focuses on developmental psychology , particularly socio-cognitive development, cultural and socioeconomic influences, intergenerational trauma, and child mental health. She also investigates ED&I topics (socioeconomic status, LGBTQIA+, neurodivergence), conspiracy theories , and quantitative/qualitative research methods . Her recent publications explore replicability in psychology , reaction time data transparency , and open scholarship frameworks. Her scientific awards include the Experimental Psychology Society Research Scholarship and University of Birmingham Student Development Scholarship (both 2017). She supervises undergraduate and MSc dissertations and contributes to ED&I initiatives via newsletters and committee work. Lecturer, MMU (2021–present) Demonstrator, Birkbeck, University of London (2020–present) Teaching Associate, University of Birmingham (2017–2020)

Timothy Robert Merrittمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Robot Interaction
• Human-Centered Computing
• +۶ مورد دیگر

Timothy Robert Merritt is an Associate Professor at Aalborg University's Technical Faculty of IT and Design , Department of Computer Science. His research bridges Artificial Intelligence , Human-Robot Interaction , and Human-Centered Computing with a focus on enhancing wellbeing and designing playful, sustainable technologies. His work spans autonomous systems, shape-changing interfaces, and applications of AI in creative practices. PhD in Integrative Sciences and Engineering (2012) from National University of Singapore Research interests include: Generative AI in design and critical reasoning Autonomous Systems (drones, robots) for search and rescue Human-AI Collaboration in multi-robot environments Interactive Systems for education and health Sustainable Technology through digital fabrication and art-science fusion Recent publications address Generative AI in design research, auditory interventions for driver safety, and trust in multi-drone interfaces. He leads and collaborates on projects like NAMUR (Natural-language Assisted Multi-robot Interaction) and HERD (Human-AI Collaboration with Drone Swarms). He organized the Aalborg Robotics Challenge Workshop (2024) and has been featured in media for public demonstrations with celebrities like Will Smith and Rick Astley. His work involves grants such as the ERASMUS+ funding for robotics and sustainability initiatives.

Riccardo Renzulliمشاهده پروفایل

پژوهشگر

• Object-Centric Representation Learning
• Medical Image Analysis
• Computer Vision
• +۵ مورد دیگر

Riccardo Renzulli is a Researcher at the Department of Computer Science, University of Turin, focusing on object-centric representation learning, medical image analysis, and AI-based computer vision applications. His research emphasizes capsule networks, deep learning models for hierarchical relationships, and applications in healthcare and aerial/satellite imagery. Education: MSc and BSc in Computer Science from University of Turin (2018 and 2015). Previous research with Prof. Valentina Gliozzi explored description logics and non-monotonic reasoning. Professional experience includes a 2022 post at Aalto University (supervised by Prof. Ville Kyrki and Francesco Verdoja) and roles at Addfor and Machine Learning Reply as a deep learning scientist. Research interests span concept learning, few-shot learning, interpretability, and medical imaging. Notable work includes visual localization systems for UAVs, AI-assisted diagnosis for COVID-19 via CXR analysis, and lung nodule segmentation using DeepHealth Toolkit. He contributed to the UniToChest dataset for cancerous nodule detection. His recent publications (2022-2025) address efficient neural architectures, medical imaging applications, and 3D scene modeling. Collaborations include EIDOSLAB, with research emphasizing scalable compression, entropy-based pruning, and ensemble methods for neural networks.

• Cognitive Neuroscience
• Multisensory Integration
• Attention Processes
• +۳ مورد دیگر

Jessica Green is an Associate Professor in the Department of Psychology at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences and the Institute for Mind and Brain. Her research focuses on understanding neural and psychological mechanisms of attention and perception, using EEG, fMRI, and combined EEG/fMRI techniques. Key projects include studying voluntary attention processes, multisensory integration, and attention deficits in dyslexia. Her research employs behavioral and neuroimaging methods to link brain activity (via EEG/ERPs and fMRI) with cognitive processes. Current work explores how sensory modality influences attention networks and investigates multisensory integration in perceiving objects, as well as cognitive influences like emotion on this process. She also examines attentional deficits in dyslexia across visual and auditory modalities. Notable research contributions include studies on cross-modal spatial attention, attentional control dynamics, and neuroimaging methodologies like beamformer source reconstruction. Her work bridges cognitive neuroscience with clinical applications, such as ADHD neurofeedback interventions. Labs/Teams: Active in the Institute for Mind and Brain, collaborating on interdisciplinary projects combining neuroimaging and cognitive psychology.

Scott Warkمشاهده پروفایل

مدرس

• Digital Culture
• Race and Technology
• Media Infrastructures
• +۴ مورد دیگر

Scott Wark is Lecturer in Visual Cultures at Goldsmiths, University of London, researching digital culture and the intersection of race with digital technology. His interdisciplinary work combines media theory, critical data studies, and algorithmic analysis. Education: Ph.D. in Interdisciplinary Studies, University of Warwick (2018) B.A. (Hons. with University Medal), University of Sydney (2010) Research explores: Internet memes as cultural circulation systems Racial formations in algorithmic governance Media infrastructures and digital subjectivity Inventive methodologies for digital culture research Recent publications examine contingent online audiences, racial data formations, and media pharmacologies. He co-edited 'Figure: Concept and Method' (2022) and special issues on Gilbert Simondon's media philosophy. Grants include AHRC funding for 'Pause for Thought: Media Literacy in an Age of Incessant Change' (2021). Teaching includes modules on surveillance arts and modernities.

• Multimedia Art and Design
• Digital Media Interaction
• Visual Literacy
• +۴ مورد دیگر

Patricia Search is a Professor and Director of the Center for Global Communication+Design at Rensselaer Polytechnic Institute (RPI). Her work bridges art, technology, and education through multimedia installations that explore interactive design, perceptual dichotomies, and non-Western spatial perspectives. She holds affiliations with Information Technology and Web Science. Her research focuses on expanding experience design syntax and relational aesthetics through immersive environments that merge physical and virtual elements. She has led over 40 solo exhibitions globally and contributed to 150+ group exhibitions across multiple countries. Search has been recognized with prestigious awards, including the Fulbright Grant and IVLA’s top honors. She served as Co-Editor of the Journal of Visual Literacy, authored/co-edited five books, and held leadership roles in the International Visual Literacy Association and ISAST. Her academic contributions span art, technology, and education, with a focus on visual literacy and cross-cultural design principles.