جست‌وجوی استاد و پژوهشگر

Aaron Mitchelمشاهده پروفایل

دانشیار

• Speech Perception
• Language Development
• Multisensory Integration
• +۶ مورد دیگر

Aaron Mitchel is an Associate Professor of Psychology at Bucknell University, where he conducts research on speech perception, language development, and multisensory integration. He teaches courses including Introduction to Psychology, Psychological Statistics, Sensation and Perception, Applied Research Methods in Sensation & Perception, and Face Perception. Educational Background: B.A. with honors in Psychology from Macalester College (2005) M.S. in Psychology from Pennsylvania State University (2008) Ph.D. in Psychology from Pennsylvania State University (2011) Mitchel's research investigates mechanisms underlying early stages of speech perception and language development within a multisensory environment. His work focuses on four main areas: 1) how learners utilize facial cues to comprehend speech, 2) perceptual learning mechanisms that track input from multiple senses, 3) individual differences in multisensory integration abilities related to social/cognitive functioning, and 4) using eye tracking technology to reduce medication errors. His research employs behavioral, eye-tracking, genetic, and neuroimaging techniques, often involving undergraduate students in the research process. His publication record demonstrates a strong focus on multisensory integration in speech perception and language development, with particular attention to visual contributions to speech processing. The research spans cognitive psychology, linguistics, and neuroscience, often examining how visual information complements auditory information in speech perception tasks. Mitchel frequently collaborates with colleagues like D.J. Weiss and has engaged in interdisciplinary work with clinicians at the Geisinger Autism and Developmental Medicine Institute. Mitchel has received support from the Bucknell-Geisinger Research Initiative for his work investigating clinical determinants of multisensory integration functioning. He collaborates with faculty in engineering and pharmacists at Geisinger Health System on projects aimed at reducing medication errors through eye tracking technology. Mitchel directs the Multisensory Speech Perception (MSP) Lab, where he works closely with undergraduates on research projects. His lab has produced numerous publications highlighting the role of visual information in speech perception and language development, with particular emphasis on how facial cues help in segmenting continuous speech.

Eric Walleمشاهده پروفایل

دانشیار

• Developmental Psychology
• Emotional Development
• Social Development
• +۴ مورد دیگر

Eric Walle is an Associate Professor of Developmental Psychology at the University of California, Merced, affiliated with the School of Social Sciences, Humanities & Arts and the Department of Psychological Sciences. His research focuses on social and emotional development in infancy and early childhood, particularly exploring how infants respond to discrete emotions and navigate developmental transitions like walking. He leads a lab dedicated to these studies, with a recent focus on cross-cultural comparisons, including research in Shanghai, China. Education: Earned a Bachelor of Science from Vanderbilt University (Developmental Psychology, Cognitive Studies, Elementary Education), followed by a Ph.D. in Developmental Psychology at UC Berkeley under Joseph Campos. His work emphasizes infant sensitivity to emotional cues, language development post-locomotion, and cultural brokering in immigrant families. Research Interests: Emotion recognition and appraisal in infants Social-cognitive development during locomotor transitions Cross-cultural studies of emotional communication Parent-child interactions and language acquisition Publications Trends: Recent work (2021-2025) emphasizes cultural contexts of emotion, intercultural communication challenges, and neurocognitive mechanisms linking motor skills to language. Studies often bridge developmental psychology with social and cultural factors. Awards: None explicitly listed in provided materials. Advising & Grants: Active in mentoring graduate students in developmental psychology, though no named advisees are listed. Research supported by studies on infant language and locomotion, cultural brokering, and emotion socialization. Labs/Teams: Maintains an active research lab at UC Merced focusing on infant emotional and social development, collaborating with international teams on cross-cultural projects.

• Critical Discourse Analysis
• Multimodal Analysis
• Digital Communication
• +۵ مورد دیگر

Per Ledin is a Professor at Södertörn University, specializing in Culture and Education. His research focuses on multimodal analysis, critical discourse studies, and the sociocultural impact of digital systems. He critically examines how visual and textual communication shapes organizational practices, consumer behavior, and educational environments. Ledin’s work frequently addresses neoliberal influences in institutional structures and branding strategies, particularly through studies of corporate entities like IKEA and Oatly. He has contributed to theoretical frameworks in multimodal discourse analysis, emphasizing the materiality of texts and visual semiotics. His research interests include the semiotics of administrative systems, the role of social media in knowledge dissemination, and the evolution of text genres across historical periods. Ledin has published extensively on topics such as performance management discourse, digital administrative systems, and the interplay between consumer choices and environmental activism. Notably, Ledin’s studies investigate how management diagrams and corporate branding recontextualize social practices, often critiquing the technologization of culture. His work bridges linguistic theory with sociocultural critique, addressing contemporary issues like misinformation on social platforms and the performative aspects of organizational communication.

Wolfram Burgardمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Mobile Robotics
• +۳ مورد دیگر

Prof. Wolfram Burgard is a Professor for Robotics and Artificial Intelligence and Founding Chair of the Engineering Department at the University of Technology Nuremberg. Previously, he was a professor of computer science at the University of Freiburg (1999–2021), where he established the renowned Autonomous Intelligent Systems research lab. His research focuses on probabilistic techniques for robot navigation, state estimation, and control, with notable contributions to SLAM, path-planning, and mobile robot applications such as museum tour-guides (Rhino/Minerva) and autonomous vehicles. His research interests span artificial intelligence, mobile robotics, and autonomous systems. Key projects include deploying interactive museum robots, developing autonomous parking systems (2008), and the pedestrian-like Obelix robot (2012). He has authored over 350 papers, co-authored seminal books like Probabilistic Robotics , and holds the prestigious Gottfried Wilhelm Leibniz Prize (2009) and ERC Advanced Grant (2010). He is an ECCAI and AAAI Fellow, and member of the German Academy of Sciences Leopoldina and Heidelberg Academy of Sciences. Prof. Burgard coordinated the BrainLinks-BrainTools Cluster of Excellence (2012–2019), funded by the German Research Foundation. His work emphasizes real-world applications, including industrial plant supervision and autonomous driving systems. His Erdős number is ≤4, and his publications are indexed on Google Scholar.

Daksitha Withanage Donمشاهده پروفایل

پژوهشگر

• Affective Computing
• Artificial Emotional Intelligence
• Socially Interactive Agents
• +۳ مورد دیگر

Daksitha Withanage Don is a Researcher at the Chair for Human-Centered Artificial Intelligence, affiliated with the University of Augsburg's Faculty of Applied Computer Science and Institute of Computer Science. His work focuses on developing socially interactive agents, affective computing, and generative AI applications. He holds an M.Sc. and actively contributes to projects like DEEP (Emotion Processing for Social Agents) and MITHOS (mixed reality teacher training). His research interests include self-supervised learning, multimodal analysis, and human behavior modeling. He advises students on topics such as GUI design for social agent frameworks, behavioral synchrony analysis using foundation models, and real-time listener behavior generation in Unreal Engine. Key Projects: MITHOS, FORSocialRobots, TherapAI, ReNeLiB Labs/Teams: Human-Centered Artificial Intelligence Team Supervised Theses (2024): Automated ICEP-R Annotation, Long-Term Memory Integration in LLMs, Mediapipe 3D Blendshapes for Behavior Modeling Publications include work on generative AI for HCI, automated behavioral annotation, and real-time interactive systems. Contact via email or visit his GitHub for open-source contributions.

Sharon Millerمشاهده پروفایل

دانشیار

• Cortical auditory event-related potential (ERP) research
• Neural biomarkers for speech perception outcomes
• Neural inhibition and speech-in-noise perception
• +۴ مورد دیگر

Sharon Miller, Ph.D., CCC-A, is an Associate Professor and Director of Graduate Studies in Audiology at the University of North Texas. Her research focuses on cortical auditory event-related potentials (ERPs) to identify neural biomarkers for speech perception outcomes in hearing loss, neural inhibition mechanisms in noisy environments, and brain plasticity related to hearing aids and cochlear implants. Research Interests Neural biomarkers for speech perception in hearing-impaired individuals Neural inhibition and speech-in-noise processing Neuroplasticity in hearing aid and cochlear implant users Cortical auditory processing in autism spectrum disorder Over-the-counter hearing aid communication strategies Publication Trends Her recent work spans auditory neuroscience, assistive technologies, and clinical audiology, with a focus on ERP methodologies, cochlear implant outcomes, and interventions for speech perception challenges in noise. She investigates cross-modal plasticity in pediatric populations and evaluates noise-management systems for hearing devices. Contact Information Email: Sharon.Miller@unt.edu Phone: 940-369-7385 Office: SPHC 214

Jonathan Smallwoodمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Mind-Wandering
• Memory (Episodic/Semantic)
• +۶ مورد دیگر

Jonathan Smallwood is a Professor in the Department of Psychology at Queen's University at Kingston, Canada. He holds cross-appointments at the Centre for Neuroscience Studies and is affiliated as a Full Professor since July 2020. His academic journey includes roles at the University of York (promoted to Professor in 2018), the Max Planck Institute for Human Cognitive and Brain Sciences (2011–2013), and various other institutions. His research focuses on understanding the neural basis of spontaneous thought, mind-wandering, and their impacts on mental health and well-being, employing advanced neuroimaging and experience-sampling techniques. His work bridges cognitive psychology and neuroscience, particularly investigating the default mode network and cortical organization. Smallwood earned his BAH (1996) and PhD (2001) in Cognitive Psychology from the University of Strathclyde. His career includes postdoctoral research at the University of British Columbia and UC Santa Barbara, among others. He is recognized as a pioneer in experience-sampling methods and their integration with neuroimaging, notably proposing the 'decoupling hypothesis' regarding mind-wandering. His research has been cited extensively, earning him recognition as a highly cited scientist. Research interests include cognitive neuroscience, memory systems (episodic/semantic), default mode network architecture, and mental health correlations. His current projects explore brain organization gradients, semantic cognition, and the neural correlates of spontaneous thought across daily life contexts. Smallwood’s lab investigates how cortical structure and connectivity mediate thought patterns and adaptive behavior, with a focus on translational insights for mental health interventions. Notable affiliations include Queen’s University (2020–present), University of York (2013–2020), and Max Planck Institute (2011–2013). He maintains active collaborations globally, publishing in high-impact journals like Nature Reviews Neuroscience and Nature Communications . His work emphasizes interdisciplinary approaches, combining experimental psychology with neuroimaging to address fundamental questions about human cognition.

Junghwan Kimمشاهده پروفایل

استادیار

• Human mobility
• Environmental health
• Geospatial data science and applications
• +۴ مورد دیگر

Dr. Junghwan Kim is an Assistant Professor in the Department of Geography at Virginia Tech , with affiliations to the School of Public and International Affairs (SPIA) . His research focuses on human mobility, environmental health, geospatial data science, and GIS privacy/ethics. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (UIUC), an MUP from UIUC, and a B.S. in Urban Planning and Engineering (Summa Cum Laude) from Yonsei University. Before joining Virginia Tech, he was a postdoctoral fellow at Harvard University's Center for Geographic Analysis. Education: Ph.D., Geography, University of Illinois at Urbana-Champaign (2021) MUP, Urban Planning, University of Illinois at Urbana-Champaign (2018) B.S., Urban Planning and Engineering, Yonsei University (2016) Research Interests: Human mobility patterns, geospatial data science (including AI/GIS integration), environmental health disparities, and privacy ethics in geospatial data. His work emphasizes socio-spatial equity , leveraging geospatial tools to address urban challenges like healthcare accessibility, green space distribution, and pandemic-related mobility shifts. He has received over a dozen awards, including the AAG Outstanding Graduate Student Paper Award and APA Smart Cities Design Competition win. His grants include projects on veterans' healthcare access, autonomous transportation interfaces, and AI-driven green space analysis. Dr. Kim teaches courses on GIS principles, generative AI in social science, and geospatial mobility analysis. He leads the Smart Cities for Good (SCG) research group, collaborating with interdisciplinary teams to advance smart city technologies for social and environmental justice.

Xing Xiaمشاهده پروفایل

مدرس ارشد

• Human Capital
• Education
• Health Economics
• +۳ مورد دیگر

Dr. Xing Xia is a Senior Lecturer at Yale-NUS College, affiliated with the Lee Kuan Yew School of Public Policy. Her research focuses on applied microeconomics, examining human capital, education, health, and labor market dynamics. She investigates decision-making processes related to educational and health investments, the impact of modern labor markets on educational institutions, and household/firm responses to globalization and climate change. Her work spans Singapore, the Philippines, Bangladesh, and the USA. Dr. Xia holds a B.A. in Economics and B.S. in Mathematics from Wuhan University, and a Ph.D. in Economics from Columbia University. Her academic expertise includes Chinese foreign policy, Southeast Asian security, and U.S.-China relations. She is reachable at xing.xia@yale-nus.edu.sg and maintains a professional website at xingxia.weebly.com . Dr. Xia’s research emphasizes practical policy implications, with a focus on bridging theoretical economic models with real-world applications in developing and developed nations. Her work often integrates interdisciplinary perspectives to address complex socio-economic challenges.

Markus Schedlمشاهده پروفایل

استاد

• Recommender Systems
• Information Retrieval
• Algorithmic Fairness
• +۶ مورد دیگر

Markus Schedl is a Full Professor at Johannes Kepler University Linz , Austria, where he leads the Multimedia Mining and Search (MMS) group within the Institute of Computational Perception . He also heads the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab . Education: Computer Science (TU Wien), PhD (JKU Linz), Master's in International Business Administration (WU Wien, University of Gothenburg) Research Interests span recommender systems , information retrieval , algorithmic fairness , user modeling , and machine learning . His recent publications focus on: Multimodal and hybrid AI for human-centric personalization Context-aware music recommendation and emotion recognition Graph neural networks for session-based recommendation Technical and regulatory compliance in fair, transparent, and privacy-preserving systems Projects are funded by the Austrian Science Fund (FWF) , Austrian Research Promotion Agency (FFG) , and European Commission (EC) . He maintains industry collaborations with Siemens, Spotify, and Deezer. Teaching includes courses like Introduction to Machine Learning and Social Media Mining and Analysis at JKU, with guest lecturing experiences at Pompeu Fabra, Queen Mary London, and KTH Stockholm. Labs & Teams: MMS group at JKU's Institute of Computational Perception and HCAI group at LIT AI Lab.

Evan Kiddمشاهده پروفایل

استاد

• children's language acquisition
• language processing
• morphosyntax
• +۹ مورد دیگر

Evan Kidd is a Professor of Linguistics at The Australian National University. Trained as a psycholinguist at La Trobe University, he has established himself as a leading researcher in child language acquisition and processing. His educational background includes training as a psycholinguist at La Trobe University, which provided the foundation for his extensive research career focused on language development. Professor Kidd's research primarily focuses on children's language acquisition and language processing, with special emphasis on morphosyntax in both monolingual and bilingual contexts. He also investigates socio-cognitive processes underlying early language development, including symbolic play, joint attention, and gesture. A distinctive feature of his work is its explicit cross-linguistic and cross-cultural approach, examining how language development varies across different linguistic and cultural environments. His research has significant implications for understanding the universal and language-specific aspects of language acquisition. Professor Kidd's publications reveal a strong focus on individual differences in language acquisition, the relationship between play and language development, and cross-linguistic studies of language processing. His work spans multiple languages including Tagalog, Mandarin, and Australian English, demonstrating his commitment to understanding language acquisition in diverse linguistic contexts. Recent research has increasingly examined methodological diversity in the field and how to increase language coverage in acquisition research. ABC show Old People's Home for 4 Year Olds wins International Emmy, The Guardian, 24 Nov 2020 Language acquisition in crosslinguistic context: How can we increase language coverage?, ILARA Round-table, 6 May 2021 Professor Kidd has advised students including Francois-Xavier Faucounau, Annie Kwai, Alpheaus Graham, Zobule, and Anna Naupa. His work often involves interdisciplinary collaborations across psychology, cognitive science, and anthropology. While specific grant information isn't provided in the available text, his extensive publication record suggests significant research funding support for his investigations into language acquisition and processing. His research group appears to be part of a larger organization focused on cultural diversity, working alongside researchers including Nicholas (Nick) Evans, Kim Sterelny, Simon Haberle, Chris Ballard, Lindell Bromham, Bethwyn Evans, Catherine Frieman, and Carmel O'Shannessy, with research fellows Ben Shaw, Shimona Kealy, Stuart Bedford, Joao Teixeira, Ray Tobler, and Sam Passmore.

Panagiotis Filntisisمشاهده پروفایل

پژوهشگر

• Computer Vision
• Audio Processing
• Affective Computing
• +۳ مورد دیگر

Panagiotis Filntisis is a PostDoctoral researcher at the National Technical University of Athens , supervised by Prof. Petros Maragos. His work focuses on computer vision and audio processing for affective computing , particularly in areas like body emotion recognition, visual emotion translation, and 3D facial expression reconstruction. Key research projects include: TeachBot : Exploring educational robotics e-Prevention : Developing emotion recognition systems BabyRobot : Investigating multi-party interaction iMuSciCA : Applying multimodal perception in music education He has published extensively on multimodal fusion techniques in child-robot interaction, with recent work appearing in IEEE Robotics and Automation Letters and ICASSP. Contact: filby@central.ntua.gr

• Human Performance
• Cognitive Neuroscience
• Neuroergonomics
• +۵ مورد دیگر

Victor Finomore Jr. serves as Executive Director of Research Operations and Data Analytics at the West Virginia University (WVU) Rockefeller Neuroscience Institute. He holds dual academic appointments as Assistant Professor in the Department of Neuroscience within the School of Medicine and Adjunct Professor in the Department of Chemical, Biomedical Engineering at the Statler College of Engineering and Mineral Resources. Dr. Finomore earned his Ph.D. in Experimental Psychology from the University of Cincinnati in 2008. Prior to joining WVU, he served as Technical Advisor for the Warfighter Effectiveness Research Center at the United States Air Force Academy, where he led research on human performance enhancement through multimodal displays, neuroergonomics, and human-machine teaming for military operators. His research program centers on Human Performance, Physiological Measurement and Assessment, and Cognitive Neuroscience. As director of the Human Performance and Applied Neuroscience (HPAN) research center, he conducts cutting-edge research on real-time neurophysiological assessment across diverse populations (Athletes, Military, Patients, and general Population - AMP 2 ). His work integrates advanced sensors with machine learning analytics to develop individualized augmentation strategies for optimizing brain health, human performance, recovery, and resilience. Cognitive testing in his lab focuses on workload, stress, fatigue, attention, decision-making, and multisensory integration. Analysis of Dr. Finomore's 15 most recent publications (2017-2021) reveals a strong interdisciplinary focus bridging psychology, neuroscience, and engineering. Key research themes include human-robot interaction dynamics (particularly robot authority and compliance), neurophysiological monitoring using wearable technology, deep brain stimulation applications for addiction treatment, and vigilance in automated systems. His work demonstrates consistent collaboration with military and clinical research partners, with significant emphasis on translating laboratory findings to real-world applications in healthcare and defense contexts. Dr. Finomore directs the Human Performance and Applied Neuroscience (HPAN) research center, which conducts both basic and applied research in controlled laboratory settings and naturalistic "in the wild" environments. The center specializes in developing and validating neurophysiological assessment protocols for diverse operational contexts, with particular expertise in translating cognitive neuroscience findings into practical human performance solutions.

Stephan Huberمشاهده پروفایل

پژوهشگر

• User Research
• UX evaluation methods
• Accessibility & Inclusive Design
• +۳ مورد دیگر

Dr. Stephan Huber is a Researcher at the Psychological Ergonomics group within the Institute for Human-Computer-Media at Julius-Maximilians-University Würzburg's Faculty of Human Sciences. He holds a PhD in Human-Computer Interaction with his doctoral thesis titled 'Proxemo: Documenting Observed Emotions in HCI'. Huber completed his B.Sc. and M.Sc. in Human-Computer Systems and Human-Computer Interaction at the University of Würzburg, including a research internship with Prof. Dr. Penelope Sanderson at the University of Queensland. Before his academic career, he worked as a software tester for automotive infotainment systems at GARMIN. His research focuses on User Research, UX evaluation methods, Accessibility & Inclusive Design, and User Experience Design in Safety-Critical Areas. Huber's work bridges human factors, psychological ergonomics, and practical applications in healthcare and safety-critical domains. His recent publications demonstrate a strong focus on AI-human teaming in medical contexts, inclusive design solutions, and novel evaluation methodologies. Analysis of his recent publications (2023-2025) reveals a clear trajectory toward Human-AI collaboration in healthcare settings, particularly in anesthesiology. His work spans multiple subfields including emotion recognition, inclusive design for visually impaired users, multispecies interaction, and safety-critical systems. A recurring theme is the development of novel evaluation methods and tools for assessing user experience in complex contexts. As a research associate since 2015, Huber has been actively involved in multiple projects including 'InterMem,' 'FUTURE,' and 'CASSANDRA listens and helps: An AI team member for anesthesia.' His teaching portfolio includes Accessibility & Inclusive Design, Methods of user-centered design, Usability and software ergonomics, Interaction Guidelines, and Interaction Prototyping. Huber collaborates extensively within the Psychological Ergonomics team at Würzburg, working closely with Prof. Dr. Jörn Hurtienne, Dr. habil. Tobias Grundgeiger, and other researchers. His work often involves interdisciplinary collaboration between computer science, psychology, and medical domains, particularly evident in his recent projects focused on healthcare applications.

Dan Xuمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dr. Dan Xu is a Postdoctoral Researcher at the Visual Geometry Group (VGG) within the Department of Engineering Science at the University of Oxford. His research focuses on computer vision, machine learning, and deep learning, particularly for 2D/3D scene understanding tasks including depth estimation, object detection, and image generation. Ph.D. in Computer Science (2018), University of Trento Research Assistant, Chinese University of Hong Kong Dr. Xu's research spans computer vision and deep learning , with specific interests in scene depth prediction , visual SLAM , object contour detection , and generative adversarial networks . Recent work explores 3D Gaussian splatting , diffusion models , and multi-task learning . Key research trends include 3D scene reconstruction , controllable video generation , and multi-modal alignment . His publications emphasize neural radiance fields , attention mechanisms , and generative models for advanced visual tasks. Best Paper Award Nominee at ACM Multimedia 2018 Best Scientific Paper Award at ICPR 2016 Student Travel Grant (SIGMM/ACM Multimedia 2016) Dr. Xu contributes to open-source projects and provides training/testing code for his research. He actively reviews for premier journals and conferences including CVPR , NeurIPS , and TPAMI .