جست‌وجوی استاد و پژوهشگر

Thomas Ferrisمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Cognitive Ergonomics
• Human-automation Interaction
• +۵ مورد دیگر

Dr. Thomas Ferris is an Associate Professor in Industrial & Systems Engineering at Texas A&M University, with an affiliation in Environmental & Occupational Health. He holds a Ph.D. in Industrial & Operations Engineering (Cognitive Ergonomics) from the University of Michigan (2010). His research focuses on human factors in complex systems, emphasizing tactile display design, cognitive workload management, and human-automation interaction. Key areas include driver distraction mitigation, medical anesthesiology support systems, and aviation weather alerting technologies. Education: Ph.D., Industrial & Operations Engineering (Cognitive Ergonomics), University of Michigan, 2010 Bachelor's Degree (Engineering Valedictorian), University of Iowa, 2003 Research Interests: Human factors in aviation and automotive systems Design of tactile and multimodal interfaces Cognitive efficiency in multitasking environments Psychophysiological workload assessment Emergency response system human factors Recent work emphasizes developing vibrotactile warning systems for construction operators, fatigue detection in aviation, and collaborative robot productivity analysis. His lab (Human Factors & Cognitive Systems) explores VR applications in remote physical examination and cybersickness mitigation strategies. Awards include the NSF Graduate Research Fellowship (2005-2008) and World Haptics Best Paper (2009). He has advised over 30 graduate students and published widely in Human Factors, IEEE Transactions, and Aviation safety journals.

Rikke Gadeمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Robot Vision
• +۵ مورد دیگر

Rikke Gade is an Associate Professor at the Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design at Aalborg University. Her research focuses on Visual Analysis and Perception, AI for the People, and Mobility and Tracking Technologies. She has established herself as a leading researcher in computer vision applications across multiple domains including sports analytics, animal welfare, and human-computer interaction. Dr. Gade earned her PhD in Computer Vision from Aalborg University in 2015 with her dissertation "Taking the Temperature of Sports Arenas - Automatic Analysis of People." Prior to this, she completed her M.Sc. in Informatics with specialization in Vision, Graphics and Interactive Systems in 2011, and her B.Sc. in Electronic and Electrical Engineering in 2009. Her research interests span Computer Vision, Image Processing, Robot Vision, and Thermal Imaging with applications in diverse fields. She has pioneered work in using thermal imaging for sports analytics, developing systems for tracking athletes and analyzing movement patterns in sports arenas. More recently, her research has expanded into AI applications for animal welfare, particularly developing computer vision systems for detecting pain and stress in horses through facial expression analysis. Dr. Gade's publications reveal a clear progression from foundational work in thermal imaging and sports analytics toward more complex applications in healthcare, animal welfare, and smart building systems. Her most recent work shows increasing focus on ethical AI applications that serve societal needs, as evidenced by projects like "AI for the People" and research on equine pain detection. Best Paper Award at Conference CISBAT 2021 (Lausanne, Switzerland) Dr. Gade actively supervises PhD students, including Alves, J.M. on equine affective state assessment. She has secured significant research funding, including a major grant from the Independent Research Fund Denmark for developing AI systems to detect pain in horses. Her collaborative approach is evident in her involvement in multiple interdisciplinary projects spanning computer science, veterinary medicine, and building science. She leads the Visual Analysis and Perception research group at Aalborg University, focusing on practical applications of computer vision technologies. Her team works closely with industry partners on real-world implementations, particularly in sports analytics and animal welfare applications. Current projects include developing AI systems for road damage detection in collaboration with Faxe Kommune and creating advanced tracking systems for sports performance analysis.

Carol Atkinson-Palomboمشاهده پروفایل

استاد

• Sustainable Urban Policy
• Transportation Sustainability
• GIS Spatial Analysis
• +۷ مورد دیگر

Dr. Carol Atkinson-Palombo is a Professor in the Department of Geography, Sustainability, Community, and Urban Studies at the University of Connecticut. She holds a Ph.D. in Geography from Arizona State University and a Master’s in Economics from New York University, with over a decade of experience in finance and economic development. Her work integrates teaching, research, and community engagement to address societal challenges like sustainable urban policy, environmental justice, and transportation equity. Key research focuses include evaluating public policies for sustainable cities, spatial analysis via GIS, and interdisciplinary collaboration. Notable projects include the US-Ethiopia Partnership in Sustainable Water Resource Management (USAID-funded) and collaborations with Hartford’s Blue Hills Civic Association on social/environmental justice issues. Her funded analyses include Light Rail Transit impacts on property values, residential foreclosures in Phoenix, and transportation sustainability metrics. Recent work explores the human impacts of air pollution from transportation, barriers to greenhouse gas reduction policies, and the equity implications of vehicle ownership. She advocates for equitable urban design, particularly through Vision Zero policies and ridesourcing’s role in low-income communities. Her interdisciplinary approach bridges geospatial analysis with policy impact, emphasizing actionable insights for policymakers. While no scientific awards are explicitly listed, her extensive grant-funded research demonstrates peer recognition. She advises no listed students but collaborates widely with academic and civic partners.

• Digital Marketing
• Consumer Behavior
• Influencer Marketing
• +۵ مورد دیگر

Andreas Bayerl is an Assistant Professor of Marketing at the Erasmus School of Economics, Erasmus University Rotterdam. He holds a PhD in Quantitative Marketing from the University of Mannheim and conducts interdisciplinary research at the intersection of digital behavior, consumer psychology, and data science. His research focuses on how individuals generate, process, and are influenced by digital information, particularly in the context of online reviews and influencer marketing. Using a mixed-method approach—combining large-scale observational data, text and image analysis, and field and laboratory experiments—Andreas investigates behavioral patterns in digital ecosystems. His work has been published in leading journals including Journal of Marketing , Harvard Business Review , MIT Sloan Management Review , and Nature Human Behavior . The most recent publications reveal a consistent focus on digital influence, credibility, and consumer decision-making. Key themes include the effectiveness of micro-influencers, the psychological impact of fake reviews, multimodal analysis of visual and textual content, and experimental validations of marketing strategies across platforms. His methodological rigor and real-world relevance are evident across these works. Andreas has received significant recognition for his contributions, including: H. Paul Root Award for groundbreaking research in influencer marketing He actively teaches in the area of data science and marketing analytics, contributing to the next generation of analytically skilled marketers. While no formal advisees are listed, his role as an assistant professor suggests involvement in student supervision and academic mentorship. His research program appears to be supported by empirical rigor and industry relevance, though specific grants or lab affiliations are not mentioned in the provided text.

Rhonda N. McEwenمشاهده پروفایل

استاد

• Social Media
• Human-Computer Interaction
• Mobile Communication
• +۱۰ مورد دیگر

Rhonda N. McEwen is a Professor at the University of Toronto's Faculty of Information and the Institute of Communication, Culture, Information and Technology (ICCIT). Her work bridges Social and new media Human-machine communication Mobile learning and cognition Special education technology domains. With a PhD in Information (University of Toronto), MSc in Telecommunications (University of Colorado), and MBA in Information Technology (City University, London), she combines technical and social science perspectives. Her research focuses on Emerging media and cognitive informatics Eye-gaze systems for communication Virtual reality perception studies Autism and technology Human-robot trust dynamics . She holds a Canada Research Chair in Emerging Media and Communication, and her work has been featured by 60 Minutes (USA/Australia) and Toronto Star . Recent publications explore VR-based gene regulation simulations and mobile device impacts on education . Notably, her team's eye-gaze technology research (2021) demonstrates how these systems enable communication for children with complex needs. She actively mentors graduate students in projects ranging from home companion robots to mobile communication in autism education .

Dora Hermes Millerمشاهده پروفایل

دانشیار

• Neuroscience
• Biomedical Engineering
• Neurology
• +۷ مورد دیگر

Dora Hermes Miller is an Associate Professor of Biomedical Engineering and holds Senior Associate Consultant II-Research roles in the Departments of Physiology & Biomedical Engineering, Radiology, and Neurology at Mayo Clinic. Her research focuses on human systems neuroscience, integrating multimodal imaging and computational modeling to understand neural signals in neurological and neuropsychiatric diseases. She collaborates with clinicians to develop therapeutic neuromodulation technologies and neuroprosthetics. Education includes a PhD from Utrecht University (Brain Center Rudolf Magnus) and postdoctoral fellowships at Stanford University, New York University, and UMC Utrecht. Her work emphasizes reproducible research practices, with contributions to neuroimaging standards like BIDS-iEEG and open source tools for electrode localization. Research interests span multimodal imaging integration, network dynamics via electrical stimulation, neural oscillations, and translational applications of brain-machine interfaces. Her lab explores how electrical stimulation modulates human connectomes, with implications for epilepsy treatment and psychiatric conditions. Collaborative efforts bridge clinical neurology, neurosurgery, and computational neuroscience. Awards and recognitions are not explicitly listed in the provided text. Her work has advanced understanding of somatotopic motor representations, limbic circuit modulation, and cortical stimulation effects, with over 70 peer-reviewed publications in journals like NeuroImage and Brain. Current projects include developing closed-loop neuromodulation systems, optimizing ECoG/MEG-fMRI integration, and advancing ethical brain-computer interface applications. She leads the Mayo Clinic NeuroEngineering Lab and participates in collaborative initiatives to standardize neuroelectrophysiological data sharing.

• Cochlear Implants
• Auditory Perception
• Music Perception
• +۳ مورد دیگر

Christina Fuller is a researcher at the University of Groningen, active in interdisciplinary research bridging auditory neuroscience, medical data mining, and cancer therapy analysis. Her work primarily focuses on cochlear implants, music perception, and quality of life assessments for hearing-impaired individuals, while also contributing to symptom analysis in oncology through machine learning techniques. Key Research Areas: Cochlear implants, music perception, human-machine collaboration in clinical contexts, and cancer symptom management. Academic Collaborations: Works with institutions like Advanced Bionics and Mandema Foundation, with international partnerships in data science and oncology. Awards: Recognized with the Mandema Stipendium (2016) for auditory perception research and Advanced Bionics Industry Support (2013) for music therapy development in cochlear implant users. Public Engagement: Frequently contributes to public discourse on hearing rehabilitation through media appearances and community-focused presentations. Dataset Contributions: Created open-access datasets on music perception in implant users, hosted at University of Groningen and DataverseNL.

• Cognitive Science
• Human-Computer Interaction
• Neuroscience
• +۳ مورد دیگر

Benedikt Emanuel Wirth is a Researcher in the Cognitive Assistance Systems department at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, Germany. His work focuses on integrating EEG and eye tracking in realistic visual scenes to study human attention and cognitive processes. Email: Benedikt_Emanuel.Wirth@dfki.de Location: Building D3 1, Stuhlsatzenhausweg 3, 66123 Saarbrücken Research Interests: His studies bridge neuroscience , computer vision , and artificial intelligence , aiming to decode human cognitive states in complex environments. Recent publications highlight applications in multimodal interaction and behavioral analysis . Scientific Contributions: The 2024 paper on fixation detection in realistic scenes represents a key focus area, exploring EEG signal processing , visual perception , and cognitive load modeling .

• Systems Neuroscience
• Sensorimotor Control
• Neuroethology
• +۵ مورد دیگر

Professor Holger G Krapp is a Professor of Systems Neuroscience in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He holds affiliations with the Centre for Neurotechnology, Neuromuscular Rehabilitation Technology Network, and Robotics Forum. His research focuses on sensorimotor control mechanisms in insects, particularly blowflies, integrating neurobiology with engineering principles. Key areas include visual processing, flight dynamics, and biohybrid robotics. Education: Earned a Diploma in Biology (Neurobiology) from the University of Tübingen (1992) and a Dr. rer. nat. (PhD) from the Max-Planck Institute for Biological Cybernetics (1995). Postdoctoral research included work at Caltech and Bielefeld University before joining Imperial College as a Senior Lecturer in 2005. Research interests emphasize how insects process visual and sensory information to control movement, with applications in robotics and neurotechnology. Recent work explores optic flow processing, closed-loop control systems, and biohybrid interfaces for real-time behavioral analysis. His publications highlight innovative methodologies like high-speed X-ray imaging and neural recording platforms to study flight motor mechanics and neurophysiological responses. Publications span 25+ years, demonstrating sustained contribution to understanding multisensory integration, neuronal adaptation, and energy-efficient neural coding. Active in interdisciplinary collaboration, his work bridges neuroscience, engineering, and robotics to advance biomimetic technologies and biological system analysis.

Yuxuan Sunمشاهده پروفایل

پژوهشگر

• Mobile Edge Computing
• Edge Learning
• Federated Learning
• +۳ مورد دیگر

Yuxuan Sun is a Researcher at Tsinghua University's Department of Electronic Engineering and a visiting researcher at Imperial College London's Intelligent Systems and Networks (ISN) group. She earned a B.S. in Telecommunications Engineering from Tianjin University (2015) and a Ph.D. in Information and Communication Engineering from Tsinghua University (2020). Her research focuses on mobile edge computing, edge learning, and federated learning, with applications in vehicular networks and wireless systems. She has received the Best Student Award from Tsinghua-Intel (2018) and holds roles as an Assistant Editor-in-Chief for IEEE Transactions on Green Communications and Networking and a reviewer for top journals like IEEE TWC and TVT. Her work emphasizes optimizing computation offloading, scheduling policies, and energy efficiency in edge environments. Notable contributions include studies on distributed task replication for vehicular edge computing and mobility-aware federated learning frameworks. She has been recognized with travel grants (e.g., IEEE Comsoc at GLOBECOM 2019) and has collaborated on projects like the 'MEET' framework for green 6G networks. Education: B.S., Tianjin University, Telecommunications Engineering (2015) Ph.D., Tsinghua University, Information and Communication Engineering (2020) Awards: Best Student Award (2018) Grants: IEEE Comsoc Student Travel Grant (GLOBECOM 2019) Her research spans edge computing frameworks, federated learning in constrained environments, and semantic communication for 6G systems. She leads collaborative efforts in labs like Tsinghua's Information Processing and Communications Lab and contributes to industry-academia partnerships.

Ganesh Neelakanta Iyerمشاهده پروفایل

مدرس

• Software Engineering
• Agile Software Development
• Cloud Computing
• +۱۳ مورد دیگر

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.

Apoorva Chauhanمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Crisis Informatics
• Education Research
• +۳ مورد دیگر

Apoorva Chauhan serves as an Assistant Professor in the Department of Mathematics & Information Technology within the Faculty of Science at Concordia University of Edmonton, specializing in the intersection of technology and human behavior during critical events. Education: Ph.D in Computer Science from Utah State University, USA M.S. in Computer Science from Utah State University, USA B.E. in Computer Science from Lakshmi Narain College of Technology, India Postdoctoral research at David R. Cheriton School of Computer Science, University of Waterloo, Canada Research Focus: Dr. Chauhan's pioneering work bridges Human-Computer Interaction with Crisis Informatics , examining how digital platforms shape disaster response and public communication. Her Education Research investigates technology-mediated learning, particularly through conversational agents and collaborative platforms. Recent projects analyze humor in pandemic communication, trustworthiness of crisis-related social media, and innovative tools like the Curiosity Notebook for learning-by-teaching methodologies. Publication Trends: Her 2017-2023 publications reveal a consistent trajectory in crisis informatics, with increasing focus on social media dynamics during disasters (wildfires, pandemics) and educational technology applications. Key contributions include frameworks for evaluating crisis information trustworthiness, design principles for educational conversational agents, and novel analyses of humor as a communication strategy in high-stress scenarios, all presented at premier venues like CHI, CSCW, and ISCRAM. Scientific Awards: No awards were documented in available sources. Academic Contributions: While specific advising details remain unreported, her research demonstrates significant industry and community impact through partnerships with crisis response organizations. Current projects likely involve securing grants for crisis communication infrastructure and educational technology development, though formal grant documentation wasn't accessible. Research Infrastructure: Collaborative work with Amanda Hughes (Virginia Tech) and Edith Law (University of Waterloo) suggests interdisciplinary team structures, though dedicated labs weren't specified in institutional materials.

Hanako Yoshidaمشاهده پروفایل

استاد

• Developmental Psychology
• Cognitive Neuroscience
• Behavioral Neuroscience
• +۹ مورد دیگر

Dr. Hanako Yoshida is a Professor at the University of Houston, affiliated with the Department of Psychology in the College of Liberal Arts and Social Sciences. She serves as Director of the Cognitive Development Lab, focusing on early attention and language development. Her research bridges developmental psychology, cognitive neuroscience, and behavioral neuroscience to study language acquisition, social attention, and multimodal learning. Education: Ph.D. from Indiana University Affiliations: Cognitive Development Lab, University of Houston Dr. Yoshida’s research explores how infants develop attentional mechanisms through object manipulation, parental scaffolding, and social coordination. She investigates bilingual learning experiences, gaze distribution patterns, and executive function development, with a strong emphasis on autism spectrum disorders and cross-linguistic comparisons. From 2022-2024, her lab has published on head-mounted eye-tracking in ASD research, saliency-driven attention, and parental strategies for attentional development. Earlier work from 2017-2022 examined executive function, verb learning, and attentional highlighting in bilingual and monolingual children, often using computational analysis of infant visual environments. Her publications span journals like Journal of Neurodevelopmental Disorders , Acta Psychologica , and Frontiers in Psychology . Collaborative projects frequently involve international studies (US, Argentina, Vietnam) and interdisciplinary methodologies including head cameras, egocentric video analysis, and behavioral experiments. Key Research Themes: Attentional mechanisms in early learning Parental influence on gaze behavior Bilingualism effects on cognition Autism diagnostic methodologies Executive function across cultures Development of social and cognitive ontologies

• Human-Computer Interaction
• Social Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Büsra Sarigül serves as a research associate and PhD student at the Leibniz Institute for Knowledge Media (IWM) in Tübingen since June 2022, affiliated with the Everyday Media Lab. She concurrently teaches Master's-level courses at the International School of Management (ISM) Stuttgart. Her academic foundation includes: B.Sc. in Psychology, Ankara University (2016) M.Sc. in Interdisciplinary Social Psychiatry, Ankara University (2020) Research focuses on communication dynamics of social agents through multimodal integration, examining how voice characteristics, social roles, and relationship types influence user perceptions of AI systems. Her work bridges human-robot interaction, credibility assessment, and psychological responses to voice assistants. Publication trends (2020-2025) reveal concentrated investigation into trust mechanisms within voice-based AI, analyzing cross-modal perception in human-robot contexts and ChatGPT's dual impact on information credibility and creative cognition. Key methodological approaches include longitudinal studies and experimental designs measuring predictive processing. Active within IWM's collaborative ecosystem, she contributes to the Everyday Media Lab while partnering with Multimodal Interaction, Perception and Action, and Knowledge Construction labs on projects exploring human-AI interaction dynamics.

Kate Arringtonمشاهده پروفایل

استاد

• Cognitive Psychology
• Cognitive Control
• Human Multitasking
• +۴ مورد دیگر

Kate Arrington is a Professor in the Department of Psychology at Lehigh University, internationally recognized for her research on cognitive control and multitasking. She earned her Ph.D. in Cognitive Psychology from Michigan State University in 2002 and completed an NRSA-funded postdoctoral fellowship at Vanderbilt University before joining Lehigh in 2005. Role: Chair of the Department of Psychology Contact: 610.758.4230 | cma205@lehigh.edu | Chandler-Ullmann room 130 Research Interests: Cognitive psychology, cognitive control mechanisms, human multitasking, and applied cognition. She investigates interactions between stimulus-driven and goal-directed processes in task selection and performance, exploring individual and situational variability in cognitive control. Developed the voluntary task switching paradigm for lab-based studies Applied research in intelligent tutoring systems and multimodal learning interfaces Scientific Awards & Leadership: NIH and NSF grant funding for multitasking and cognitive control research Rotating Program Officer, NSF Perception, Action, and Cognition program (2015-17) Chair, Women in Cognitive Science (from 2021) Director, Lehigh’s Institute for Data, Intelligent Systems, and Computation Teaching: Cognitive Psychology, Cognition in Practice and Policy, Research Methods and Statistics.