جست‌وجوی استاد و پژوهشگر

Heike Bungertمشاهده پروفایل

استاد

• North American History
• Ethnic/Migration History
• Film and History
• +۵ مورد دیگر

Prof. Dr. Heike Bungert is a leading scholar in North American History at the Westfälische Wilhelms-Universität Münster , focusing on ethnic migration, cultural history, and civil religion. Habilitation (2004) and Doctorate (1995) from German institutions Extensive teaching career since 2000, including visiting roles at UC Berkeley and Columbia University Her research bridges: German-American identity formation through festivals and cultural practices Transnational university history and academic networks Civil religion in US patriotic holidays Native American representation in film and collective memory Key article trends: 19th-20th century German migration patterns Academic institutions in transnational contexts Civil religion analysis in political rituals Historiography of indigenous peoples Scientific Honors : Heisenberg Fellowship (DFG, 2005) DAAD and DFG research fellowships Stuart L. Bernath Prize (1995) As a supervisor , she has guided doctoral research on topics like: Russian-American periodicals Symbolic communication in colonial legislatures Evangelical responses to immigration

David J. Fieldمشاهده پروفایل

استاد

• Cognition
• Neuroscience
• Visual Perception
• +۳ مورد دیگر

David J. Field is a Professor of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on theories of sensory coding, visual processing, and the relationship between natural environmental structure and sensory system representations. He is an active member of the Graduate Field of Psychological Sciences and Human Development. His work spans computational neuroscience and visual perception, with a particular emphasis on efficient coding principles and neural responses to natural scenes. Key research interests include the spatiotemporal dynamics of visual processing, sparse coding models, and the application of advanced imaging techniques like dynamic electrode-to-image (DETI) mapping. His studies often bridge neuroscience with computer science, exploring how neural systems encode visual information efficiently. Recent publications emphasize the role of behavioral goals in shaping neural coding and the statistical properties of natural scenes. Dr. Field teaches courses such as PSYCH 3420 (Human Perception: Application to Computer Graphics, Art, and Visual Display) and contributes to graduate training programs in psychological sciences. His work has been published in top journals, reflecting a strong focus on interdisciplinary approaches to understanding perception and neural representation.

Joe Patonمشاهده پروفایل

استاد

• Neural Mechanisms of Time
• Interval Timing
• Rodent Neurophysiology
• +۵ مورد دیگر

Joe Paton is a Professor and Principal Investigator at the Champalimaud Neuroscience Programme, Champalimaud Foundation in Lisbon, Portugal. He leads the Paton Lab which focuses on understanding how animals determine which environmental cues are predictive of behaviorally relevant events, known as the credit assignment problem. His research combines behavioral experiments with neurophysiological recordings in rodents to investigate neural mechanisms of time perception and decision making. Dr. Paton's research interests center on interval timing, temporal processing in the brain, and the neural basis of learning. His work particularly examines how the striatum and dopamine systems contribute to time perception and how animals solve the credit assignment problem through statistical inference in the time domain. His lab employs advanced techniques including optogenetics, neural recordings, and computational modeling to address these questions. Analysis of Dr. Paton's recent publications reveals a strong focus on striatal function in timing processes, with particular attention to how neural populations encode temporal information. His work bridges behavioral neuroscience with computational approaches, demonstrating how timing mechanisms influence decision making and learning processes. The research spans multiple levels from cellular mechanisms to behavioral outputs. Midbrain dopamine neurons control judgment of time (2016) Striatal dynamics explain duration judgments (2015) A Scalable Population Code for Time in the Striatum (2015) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) Dr. Paton has mentored numerous PhD students and postdoctoral researchers through the INDP (International Neuroscience Doctoral Program) and supervises a diverse team including research technicians, postdocs, and students. His lab has contributed significantly to understanding the neural basis of time perception and its role in learning and decision making. The Paton Lab also develops experimental tools and frameworks like Bonsai for behavioral neuroscience research.

• Human-Computer Interaction
• Digital Humanities
• Art and Technology
• +۵ مورد دیگر

Steven Devleminck is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Technology, concurrently serving as coordinator of the School of Arts (Associated Faculty) in Brussels. His dual appointment bridges engineering and arts through the Human-Computer Interaction (HCI) group at Group T Leuven Campus and Unit Art & Technology in Brussels, with active membership in DigiSoc – KU Leuven Digital Society Institute. His research centers on human-centered computing and speculative design methodologies , with core expertise in tangible interaction for emotion regulation and multispecies futures. Key themes include biofuturing as co-creative response to climate crises, squeeze-based interfaces for workplace stress, and artistic AI collaborations. His work uniquely integrates computer science with choreography, film studies, and anthropology through projects like “Youth TikTok production as public pedagogy” and “Imagining the Post-Anthropocene in BioFutures Living Lab”. Analysis of recent publications reveals three dominant trajectories: (1) Advancement of squeeze interaction techniques for affective computing, (2) Development of biofuturing frameworks for multispecies speculation, and (3) Critical examinations of AI's role in artistic mediumship. Cross-cutting themes include post-anthropocentric design, climate-responsive technologies, and decolonial approaches to digital pedagogy. Devleminck actively mentors doctoral candidates including Ula Sickle (choreographic exhibitions) and J. Verbesselt (cinema studies), while leading major funded projects such as: Living Corpora (2025-2029): Pioneering human-AI collaboration in digital humanities as Co-promotor Experiential Futuring (2022-2026): Co-creative methodology for social media outage response as Co-promotor Deradicalizing the City (2021-2025): Urban intervention research as Promotor He serves on the Computer Science Department Council and Doctoral Committee for the Associated Faculty of Arts. His laboratory ecosystem spans the HCI Group T Leuven Campus for technical development, Brussels-based Unit Art & Technology for artistic integration, and BioFutures Living Lab for participatory multispecies experimentation. This tripartite structure enables transdisciplinary work connecting squeeze sensor engineering with climate futures speculation and museum interface design.

Sami Kajaloمشاهده پروفایل

مدرس ارشد

• Corporate Social Responsibility
• Brand Loyalty
• Marketing Strategy
• +۴ مورد دیگر

Sami Kajalo is a Senior University Lecturer at the Department of Marketing, Aalto University School of Business, and an Adjunct Professor of Marketing at the University of Helsinki. His research focuses on corporate social responsibility (CSR), brand loyalty, marketing strategy, retailing, and digital marketing, with a methodological emphasis on structural equation modeling (SEM). He has contributed over 117 publications, including works on consumer motivations in collaborative consumption, the strategic role of market orientation, and the impact of ethical leadership in retail environments. Kajalo teaches at both Aalto University’s Business School and its Executive Education DBA program. His academic journey includes a doctoral degree from the Helsinki School of Economics (2002), a licentiate (1993), and a master’s degree (1990) in Business and Economics. Research Interests: Kajalo’s work explores the intersection of psychological traits and CSR perceptions, particularly how these influence brand loyalty. He investigates arts marketing, digital transformation in retail, and the integration of CSR into strategic frameworks. His research methodologies prioritize empirical analysis to advance theoretical contributions in marketing disciplines. Article Trends: Recent publications highlight themes such as ethical dimensions in online retailing, market orientation as a competitive tool, and consumer behavior in sharing economies. His work often bridges theoretical frameworks with practical implications for retail strategy and organizational performance. Academic Engagement: Kajalo has collaborated internationally, including visiting researcher roles at Hokkaido University and hosting academic visitors. His expertise contributes to sustainable development goals related to responsible consumption and production (SDG 12) and quality education (SDG 4).

Burkhard Maessمشاهده پروفایل

استاد پژوهشی

• Neuroscience
• Auditory Processing
• Signal Analysis
• +۳ مورد دیگر

Dr. Burkhard Maess is a Research Professor and Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences, leading the Methods and Development Group Brain Networks. His research focuses on auditory and language processing, signal analysis, and dynamic modeling of neuronal networks. He holds a Diploma in Physics (University of Leipzig, 1987) and a PhD in Physics (University of Leipzig, 1990). His career includes postdoctoral positions at the Academy of Sciences of the GDR and the Free University of Berlin before joining the MPI in 1995. Since 2000, he has led research groups on MEG/EEG signal analysis and cortical network dynamics. His work integrates advanced neuroimaging techniques like MEG and EEG to study sensory processing, neural network dynamics, and the effects of aging on auditory attention. Key contributions include developing high-resolution BEM-FMM methods for source localization and analyzing cross-frequency coupling in neuroscience data. His group also explores spinal cord electrophysiology and the neural underpinnings of perceptual decision-making. Dr. Maess’ research spans cognitive neuroscience, biomedical engineering, and computational modeling, with a focus on bridging empirical findings with theoretical frameworks in neuroscience.

Brian Larkinمشاهده پروفایل

استاد

• Media Anthropology
• Urban Culture
• Religious Movements
• +۳ مورد دیگر

Brian Larkin is Professor of Anthropology at Barnard College, Columbia University, and Codirector of Columbia's Center for Comparative Media. He holds a PhD from NYU (1998) and studies media technologies through anthropological frameworks. Research examines media infrastructures in Nigeria: Religious media in Islamic and Christian contexts Nigerian film (Nollywood) circulation Urban soundscapes and loudspeaker culture Infrastructure politics and colonial legacies Authored Signal and Noise: Media, Infrastructure, and Urban Culture in Nigeria (Duke, 2008) and co-edited Media Worlds: Anthropology on New Terrain (California, 2002). Current work explores the relationship between media forms, religious transformations, and urban experience in postcolonial contexts.

Tom Boellstorffمشاهده پروفایل

استاد

• Digital Anthropology
• Virtual Worlds
• Queer Theory
• +۴ مورد دیگر

Tom Boellstorff is a Professor of Anthropology at the University of California, Irvine. He holds a Ph.D. from Stanford University (2000). His research focuses on digital anthropology, virtual worlds, queer theory, and the intersection of technology with cultural practices. Boellstorff is known for pioneering ethnographic studies in virtual environments like Second Life and has explored topics such as Indonesian LGBTQ+ communities, disability in digital spaces, and the cultural history of early video games like Intellivision. His work spans theoretical frameworks for understanding digital cultures, methodological innovations in virtual ethnography, and critical analyses of technology’s role in shaping identity, politics, and social structures. Boellstorff’s interdisciplinary approach integrates cultural theory, media studies, and queer studies to examine how digital platforms mediate human experience. Recent publications emphasize the anthropology of emerging technologies (e.g., metaverse studies), historical analyses of video game platforms, and the sociopolitical implications of digital exclusion. His documentary work, including Virtual Cultures in Pandemic Times , extends his ethnographic focus into visual media.

Dimitris Samarasمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Medical Imaging
• +۵ مورد دیگر

Dimitris Samaras is a SUNY Empire Innovation Professor in the Department of Computer Science at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. He leads the Computer Vision Lab and holds adjunct roles in Biomedical Informatics and Radiology. His research focuses on computer vision, machine learning, medical imaging, and computational behavioral sciences, with interdisciplinary collaborations in psychology and neuroscience. Education: Ph.D. in Computer Science (University of Pennsylvania, 2001), M.S. in Computer Science (Northeastern University, 1994), Diploma in Computer Engineering (University of Patras, Greece, 1992). Research Interests: Modeling 3D shape and illumination interactions, facial expression analysis, medical image analysis, and applying machine learning to brain imaging. Current funded projects include NIH/NIDA grants, NSF initiatives, and collaborations with institutions like Brookhaven National Lab and Adobe. Publications: Over 150 peer-reviewed papers in top venues like ICCV, CVPR, and MICCAI, with impactful work on shadow removal, face relighting, and digital pathology. Recent trends emphasize medical AI, generative models, and multimodal interactions. Awards: SUNY Chancellor’s Award (2018), Dean’s Millionaire’s Club (2016), and multiple NIH/NSF grants. Recognized for contributions to scholarship and creative activities in academia. Grants & Teams: Leads over $10M in active grants, including projects on AI for penguin population tracking, histopathology image analysis, and robotic assistance. Collaborates with interdisciplinary teams in medicine, engineering, and cognitive science. Labs & Initiatives: Directs the Computer Vision Lab, contributes to the ColdSteel/NSF CVDI-NY SPIR consortium, and co-leads the Sensor and Transportation Security Center with Farmingdale State College.

Mahsa Baktashmotlaghمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Domain Adaptation
• +۳ مورد دیگر

Associate Professor Mahsa Baktashmotlagh is an ARC Future Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. Her research focuses on machine learning techniques applied to visual data analysis, biomedical data (e.g., antibacterial activity prediction), and cybersecurity. She holds a PhD from the University of Queensland (2014) and has contributed to over 50 peer-reviewed publications. Her research interests include domain adaptation, deep learning, and robust generalization across domains. Notable contributions include the development of DI-NIDS (a domain-invariant network intrusion detection system) and advancements in open-set domain adaptation. Her work bridges theoretical machine learning with practical applications in healthcare and computer vision. Education: PhD in Machine Learning, The University of Queensland (2014) Awards: ARC Future Fellowship (202X) Research Themes: Domain Adaptation, Cybersecurity, Biomedical AI Her recent work explores challenges in cross-domain generalization, adversarial machine learning, and scalable 3D object detection. She is actively involved in supervising graduate students and collaborates on interdisciplinary projects involving robotics and medical imaging.

• Chinese media
• Modern intellectual history
• Chinese politics
• +۴ مورد دیگر

Professor Qing Cao is Professor, Director of Studies, and Director of the Centre for Comparative Modernities at Durham University's School of Modern Languages and Cultures. His research examines Chinese media, communication, and modern intellectual history through three interconnected strands: the role of media in China's modernization, the impact of media language on social perceptions, and mutual China-West representations shaping identity politics. His research interests encompass China's modern intellectual history, Chinese politics, mass media dynamics, Western reporting on China, Chinese linguistics, and translation studies. Current projects include a book on Chinese state media's construction of alternative modernity and editorial work for the Routledge Research Encyclopaedia on Chinese Studies. Previously funded by AHRC and British Academy, his work explores the discursive transformation of Chinese society. Professor Cao's publications demonstrate sustained focus on discursive constructions of modernity and identity across historical periods, with recent work examining late Qing intellectual transformations through linguistic analysis. His supervision includes PhD students researching Western media representations of China, diplomatic language, and gender discourses in Chinese newspapers.

• Cognitive Science
• Psychology
• Computational Modeling
• +۶ مورد دیگر

Andrew Perfors is a Professor of Psychology at the University of Melbourne, leading the Computational Cognitive Science Lab and directing the Complex Human Data Hub. His research focuses on quantitative approaches to higher-order cognition, including concepts, language, decision-making, and misinformation dynamics. He holds a PhD from MIT and degrees from Stanford University. Education: PhD in Brain & Cognitive Sciences, Massachusetts Institute of Technology (2008) MA in Linguistics, Stanford University (2000) Bachelor of Science in Symbolic Systems, Stanford University (1999) Research Interests: He investigates computational models of cognition, cultural and social evolution, and the spread of misinformation. Recent work emphasizes the cognitive mechanisms underlying inductive reasoning, sampling assumptions, and trust in information. Key Projects: Understanding Information and Trust: From the Individual to the Population (2018–2025) Bridging the Meaning Gap: Computational Approach to Semantic Variation (2023–2027) Awards: Recipient of multiple best paper awards for contributions to cognitive science and computational linguistics. Labs & Groups: Leads the Complex Human Data Hub and co-leads the Computational Cognitive Science Lab, focusing on interdisciplinary research in human behavior and data science.

Mark D. Grossمشاهده پروفایل

استاد

• Design Methods
• Modular Robotics
• Computational Design
• +۵ مورد دیگر

Mark D. Gross is a Professor of Computer Science and Director of the ATLAS Institute at the University of Colorado Boulder, where he leads an interdisciplinary hub for creativity and invention. His academic journey began at MIT with BS and PhD degrees, followed by faculty roles at Carnegie Mellon University (2004-2013), University of Washington Seattle (1999-2004), and CU-Boulder (1990-1999, 2014-present). As co-founder of Modular Robotics Incorporated and Blank Slate Systems LLC, he bridges academia and entrepreneurship. Education: BS and PhD in Computer Science from MIT Gross’ research spans design methods, modular robotics, computational design tools, and tangible interaction. He pioneered sketch recognition software like 'The Electronic Cocktail Napkin' and explores physical computing through projects such as shape-changing interfaces, interactive construction kits, and augmented reality systems. His work integrates IoT, digital fabrication, and educational technology. Recent publications highlight innovations in AR/VR collaboration, shape-changing robotics, and interactive fabrication. Key themes include climate communication through data physicalization, AI-driven creative systems, and soft robotics for dynamic interfaces. Despite no explicit awards listed, his career demonstrates sustained impact through ACM conference leadership (Creativity and Cognition 2009, TEI 2011) and industry partnerships. Gross’ prior industry experience includes positions at Atari Cambridge Research and Logo Computer Systems. His lab at ATLAS fosters radical creativity through projects like PaperMech, DynaBlock, and WearAir, emphasizing hands-on learning and cross-disciplinary experimentation.

Ting Huمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +۷ مورد دیگر

Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023). Education: B.Sc. in Computational Mathematics, Wuhan University M.Sc. in Computer Science, Wuhan University PhD in Computer Science, Memorial University Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College Research Interests: Evolutionary algorithms and genetic programming Interpretable and explainable AI Biomedical data mining (metabolomics, genomics) Complex network analysis Applications in precision medicine and disease prediction Awards & Recognition: Queen's AMS Undergraduate Mentorship Award (2025) IEEE CIBCB Best Student Award (2022) Howard Staveley Teaching Award (2019-2020) NSERC Discovery Grant Reviewer (2019) Memorial University's Best Professor Award (2016) Lab & Collaborations: MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization) Active roles in IEEE Computational Intelligence Society and EuroGP Advances include vaccination strategies via graph-RL and interpretable clustering methods

Paul D. Hallidayمشاهده پروفایل

استاد

• Legal History
• British History
• Imperial History
• +۷ مورد دیگر

Paul D. Halliday is the Julian Bishko Professor of History and Professor of Law at the University of Virginia, jointly appointed in the Department of History within the College of Arts and Sciences and the Law School . He is a leading scholar in legal history, with a focus on British, imperial, and global legal developments from 1500 to 1850. BA, Wesleyan University, 1983 MA, University of Chicago, 1988 PhD, University of Chicago, 1993 His research centers on the history of legal institutions, particularly habeas corpus, judicial authority, and the role of law in empire. Halliday challenges traditional narratives by emphasizing how judicial power evolved from royal prerogative rather than as a check on monarchy. His work bridges legal doctrine, archival practice, and material culture, with current projects exploring the sensory and spatial dimensions of law, including courthouse architecture and archival procedures. His publications reveal a consistent engagement with themes of liberty, authority, and legal continuity across time and space. Notably, his book Habeas Corpus: From England to Empire (2010) has had a profound impact, influencing the U.S. Supreme Court in Boumediene v. Bush (2008), and reshaping scholarly understanding of habeas corpus as a tool of imperial governance. His recent work extends into South Asian and Caribbean legal histories, emphasizing global legal interconnectedness. Inner Temple Book Prize (2011) for Habeas Corpus: From England to Empire Sutherland Prize, American Society for Legal History (2009) for co-authored Virginia Law Review article At UVA, Halliday teaches courses such as History of English Law , Law’s Empire , and Global Legal History . He advises graduate students in legal history and is a core member of GLH@UVA (Global Legal History at the University of Virginia), an interdisciplinary community that includes faculty and students from history and law. This group fosters collaborative research, professional development, and regular discussions on works in progress, contributing to a vibrant intellectual environment.