جست‌وجوی استاد و پژوهشگر

Patricia Shawمشاهده پروفایل

مدرس ارشد

• Robotics
• Developmental Robotics
• Cognitive Developmental Systems
• +۱۲ مورد دیگر

Patricia Shaw is a Senior Lecturer in the Department of Computer Science at Aberystwyth University. Her research lies at the intersection of robotics, cognitive science, and developmental psychology, with a focus on creating intelligent systems inspired by infant learning. She actively contributes to projects in human-robot interaction, assistive technologies, and developmental robotics. Her research interests include: Developmental and cognitive robotics Schema-based learning and hierarchical behavior modeling Human-robot interaction and assistive robotics Object recognition and multi-modal perception Autonomous navigation using environmental data Infant psychology-inspired AI Her recent publications demonstrate a strong trend in using humanoid robots to model infant cognitive development, developing smart assistive devices like wheelchairs and robotic companions, and advancing perception and navigation in unconstrained environments. These works span journals such as IEEE Transactions on Cognitive and Developmental Systems and conference proceedings from TAROS and UKRAS. Her scientific awards include: EPSRC Photo Competition 2014 EPSRC Photo Competition 2015 EPSRC Photo Competition 2016 She has supervised multiple PhD students including Tobi Alagbe, Cloud Coppola, Sam Heron, and Nikola Nikolov, and has been involved in externally funded research grants from the EPSRC and the Royal Society. She has also led projects on robotic assistive living and smart home technologies. Her leadership extends to managing research infrastructure such as the iCub humanoid robot and the Smart Home Facility. She is actively involved in research labs and teams including: iCub Humanoid Robot research group Smart Home Facility team Aberystwyth Robotics Lab Human-Robot Interaction research group Developmental Robotics Lab Assistive Technology Research Group

Eelke Folmerمشاهده پروفایل

استاد

• Software Engineering
• Human-Computer Interaction
• Accessibility
• +۶ مورد دیگر

Eelke Folmer is a Professor and Department Chair at the University of Nevada, Reno , leading the Human-Computer Interaction Lab . His research spans software engineering, accessibility, assistive technology, and virtual reality (VR), with a focus on solving VR locomotion challenges and mitigating motion sickness. Funded by the National Science Foundation, Microsoft, Google, Mozilla, and NIH, his work bridges technical innovation with practical applications for users with visual impairments. Education: PhD and MS in Computer Science from the University of Groningen, Netherlands. Research Trends include: VR navigation techniques (teleportation, hands-free locomotion) Eye-tracking and field-of-view manipulation Assistive technologies for the visually impaired Human-robot interaction and sensory substitution Teaching Roles feature advanced courses in VR, software engineering, and interaction design.

• Mediatization of Politics
• Political Marketing
• Public Relations
• +۱ مورد دیگر

Dr. Wojciech Maguś is an Assistant Professor at the Department of Journalism, Faculty of Political Science, University of Maria Curie-Skłodowska (UMCS). His academic career is marked by research in the mediatization of politics , political marketing , and public relations , focusing on the dynamics of political communication and its professionalization. PhD in Political Sciences (2013) from UMCS, with a dissertation on the media portrayal of Polish presidential candidates in the 2010 election. MA in Journalism (2008) from UMCS. Research Interests Maguś's work explores the intersection of media and politics, including topics like election bias , social media strategies , and the professionalization of political communication . His recent articles analyze media bias in Polish radio and television during the 2023 parliamentary elections, comparative TV news bias in Poland and Slovakia, and the ethical challenges of spin doctoring. Scientific Awards Maguś has received multiple accolades, including: Medal of the National Education Commission (2022) Bronze Cross of Merit (2021) Rector's Award III Class from UMCS (2016) National Award for Best Doctoral Thesis in Media and Social Communication (2014) Organizational Contributions He serves as Deputy Director of the Institute of Social Communication and Media Studies (since 2019) and is a member of the Polish Accreditation Committee. Maguś chairs program teams for Public Relations and Media Production, and participates in institutional governance at UMCS, including the Senate and Quality Assurance Committees.

• Capital Market
• Behavioral Finance
• Financial Technology (Fintech)
• +۳ مورد دیگر

Mariusz Kicia is a university professor at the Department of Banking and Financial Markets, Faculty of Economics, Maria Curie-Skłodowska University. He holds dual master's degrees in economics (1997) and mathematics (1998), a PhD in economics (2004), and a habilitation in economics and finance (2020). As Dean of the Faculty of Economics from 2020-2024, he has shaped academic and administrative directions while maintaining active research in capital markets and behavioral finance. Master in Economics (1997, UMCS) Master in Mathematics (1998, UMCS) PhD in Economics (2004, UMCS) Habilitation in Economics & Finance (2020, UMCS) His research integrates behavioral finance with mathematical modeling, focusing on capital market microstructure , investment decision-making , and financial technology (Fintech) . He examines how heuristics , emotional factors , and genetic predispositions influence market behavior, with applications in retail investor satisfaction and regulatory frameworks like MiFID II . Recent publications analyze media visibility's impact on earnings management , fiscal policy effects on capital markets , and biological determinants of financial risk-taking . His work spans experimental studies on youth savings behavior , pension system reforms , and advisor-client relationships , combining economics, psychology, and data science methodologies. As a consultant and business advisor since 2007, he bridges academia with industry through roles in supervisory boards of Lubman UMCS sp. z o.o., FAWAG Lubelskie Fabryki Wagi S.A., and other companies. His teaching portfolio includes advanced courses on financial modeling, Fintech projects, and investment strategies for both Polish and international students.

Kevin Hothمشاهده پروفایل

مدرس

• Photography
• Digital Art
• Visual Communication
• +۴ مورد دیگر

Kevin Hoth is a Lecturer in Critical Media Practices at the University of Colorado Boulder, where he teaches CMDP3510-003 - Critical Media Practices Workshop II. With over two decades of experience in creative photography, his work bridges digital art, photography, video, and design, exploring the psychological and emotional dimensions of visual communication. Hoth's artistic practice centers on experimental approaches to photography that investigate trauma, healing, time perception, and our relationship with images. His work often incorporates physical manipulation of photographic media, particularly instant film, to create new visual languages that address emotional triggers and psychological responses. Key themes include the transformative power of trauma, the fragmented nature of contemporary attention, and the ritualistic aspects of image-making. His techniques range from edible image printing to mirror reflections and Polaroid shredding. His major projects reveal a consistent exploration of how images affect us psychologically. Through innovative techniques, Hoth creates works that challenge conventional viewing experiences and invite deeper engagement with visual content. His practice demonstrates how photographic processes can serve as therapeutic tools for processing trauma and understanding time, often drawing from personal experiences with family health crises. Selected Exhibitions and Recognition: Top 200 finalist in Critical Mass 2019 Small Works exhibition as part of the Medium Photo Festival Portfolio Showcase 12 at The Center For Fine Art Photography Exhibitions at the Rhode Island Center for Photography Hoth's fine art work is represented by Walker Fine Art in Denver. His teaching encompasses digital art, photography, video, and design across multiple universities, with his current position at CU Boulder focusing on critical approaches to media practices and encouraging students to explore the psychological dimensions of visual media. His studio practice includes several interconnected series including Ingestion Transformer , Everywhere And All At Once , Breath of Days , and the Flowers series, which collectively explore the psychological dimensions of image-making and viewing through innovative techniques that physically manipulate photographic media.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۳ مورد دیگر

Jim Tørresen is a senior researcher at the Department of Informatics , University of Oslo , with a focus on Robotics , Artificial Intelligence , and Human-Robot Interaction . His work spans autonomous systems, machine learning applications, and ethical considerations in AI. Current Affiliation : University of Oslo, Norway Research Interests : Robotics for elderly healthcare and assistive technologies Machine learning in multimodal sensing and personalization Explainable AI and ethical user modeling Adaptive control systems and motion planning Embodied intelligence in creative domains like dance Recent Article Trends include AI-driven healthcare monitoring, social robotics for senior engagement, reinforcement learning in constrained environments, and computational creativity applications. His work emphasizes privacy preservation , real-time interaction , and human-centered design . Collaborations : Frequent collaborations with researchers like Kai Olav Ellefsen , Diana Saplacan Lindblom , and Charles Martin across EU projects and robotics conferences.

Elmar Rückertمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• Industrial Automation
• +۳ مورد دیگر

Elmar Rückert is a Professor at the Chair of Cyber Physical Systems at Karlsruhe Institute of Technology. His work focuses on robotics, machine learning, and industrial automation with applications in environmental science and data-driven systems. Recent activities include invited talks on topics like Bayesian Optimization for control systems and deep learning in robotics. Research interests span tactile robot learning, privacy-aware AI, and sensor fusion for autonomous systems. He has published extensively in venues like IEEE International Conference on Robotics and AAAI Conference on Artificial Intelligence, with a strong emphasis on practical applications in industrial processes and environmental monitoring. Key contributions include the EnvoDat dataset for robotic spatial reasoning and methods for skill disentanglement in RKHS. His collaborative work extends to material science and environmental chemistry through partnerships on technology-critical element analysis.

LEE Yi-Chiehمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer-Supported Cooperative Work (CSCW)
• Social Computing
• +۱۲ مورد دیگر

LEE Yi-Chieh is an Assistant Professor in the Department of Computer Science at NUS Computing, National University of Singapore. He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2021) and previously worked as a researcher at NTT, Japan. He leads the AI4SG (AI for Social Good) Lab, focusing on designing AI technologies to promote societal well-being. Ph.D., Computer Science, University of Illinois Urbana-Champaign, 2021 Researcher, NTT, Japan Assistant Professor, Department of Computer Science, NUS Computing His research lies at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and human-centered AI. He investigates how conversational agents can support mental health, reduce stigma, and encourage prosocial behaviors. His work emphasizes trust, ethics, and social impact in AI systems, particularly in healthcare and marginalized communities. He also explores multi-agent systems, AI literacy, and emotional reciprocity in human-AI relationships. The recent publications (2023–2025) reflect a strong trend toward AI for mental well-being, social influence in multi-agent environments, ethical challenges in AI companionship, and innovative applications of conversational agents in education, healthcare, and social services. The research combines qualitative and quantitative methods, often involving participatory design and cross-cultural studies. Notable scientific awards include: CSCW2022 Diversity & Inclusion Award Cornell-NUS Global Strategic Collaboration Award LEE Yi-Chieh is actively involved in advising and research grants through the AI4SG Lab. While specific students are not listed, his lab conducts impactful research in AI for social good, supported by institutional and international collaborations. He teaches courses such as CS3249 (User Interface Development) and CS5346 (Information Visualization), contributing to both undergraduate and graduate education. The AI4SG Lab is dedicated to creating socially responsible AI systems through interdisciplinary research, community engagement, and technology design that addresses real-world challenges in mental health, aging, inclusivity, and social justice.

Aaron Johnsonمشاهده پروفایل

استاد

• Robotics
• Legged and Aerial Robotics
• Bioinspired Robotics
• +۱۲ مورد دیگر

Aaron Johnson is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he directs the Robomechanics Lab . He also holds courtesy appointments in the Robotics Institute and the Department of Electrical & Computer Engineering. His research focuses on enabling robots to operate robustly in complex, real-world environments through innovations in robot design, control, and interaction dynamics. Ph.D., Electrical & Systems Engineering, University of Pennsylvania (2014) B.S., Electrical & Computer Engineering, Carnegie Mellon University (2008) Johnson’s research interests lie at the intersection of legged robotics, adaptive control, bioinspired design, and physics-based planning . He investigates how robots can intelligently interact with unstructured environments—such as rocky terrain, cluttered homes, or industrial sites—by integrating mechanical design, sensor feedback, and intelligent control. His lab develops platforms like Zippy (the world’s smallest bipedal robot) and Picotaur , and works on dynamic behaviors including climbing, jumping, and navigating entanglements. The most recent publications highlight a strong trend in hybrid dynamical systems, robust state estimation, terrain-aware navigation, and ethical considerations in robotics . His group advances techniques in contact-implicit control, MPC, Kalman filtering for hybrid systems, and field deployment of autonomous robots for environmental monitoring. Themes of scalability, energy efficiency, and bioinspiration recur across the work. Johnson has received several prestigious awards: NSF CAREER Award (2020) Army Research Office Young Investigator Award (2019) Best Workshop Paper Award at ICRA 2022 (Quad-SDK) David Thuma Laboratory Project Award (2008) Honorable mention, CRA Outstanding Undergraduate Award (2008) He actively mentors students through his graduate course 24-775 Robot Design & Experimentation and lab outreach programs, including partnerships with Gwen’s Girls. He has secured grants for fielding legged robots in real-world applications, such as soil contamination sampling and hill climbing. Johnson co-organizes the CMU Locomotion Seminar and is committed to diversity, equity, and inclusion in robotics, co-authoring the Black in Robotics Reading List and advocating for ethical research practices. The Robomechanics Lab emphasizes ethical research, academic reform, equitable access, and community support. It develops full-stack frameworks like Quad-SDK and conducts field experiments in diverse environments—from deserts to power plants—pushing the boundaries of where robots can go and what they can do.

Patricia DeLuciaمشاهده پروفایل

استاد

• Human Factors
• Transportation Safety
• Health Care Systems
• +۶ مورد دیگر

Patricia DeLucia is a Professor in the Department of Psychological Sciences at Rice University, specializing in human factors research with applications across transportation, healthcare, and military domains. Her work bridges cognitive psychology with practical applications to improve safety and performance in complex systems. Dr. DeLucia earned her Ph.D. from Columbia University in 1989 followed by a National Research Council postdoctoral associateship at Wright Patterson Air Force Base from 1989-1991. Her expertise spans perception of collision across multiple sensory modalities, multisensory integration in normal and impaired vision, and virtual reality applications. Her research interests focus on human factors in transportation (manual and automated driving, pedestrian street-crossing), health care applications (nursing, medication administration, patient safety, minimally-invasive surgery, telehealth), and military applications (UAVs, night vision goggles). She has made significant contributions to understanding time-to-collision judgments, driver behavior, and perceptual processes in real-world contexts. Analysis of her recent publications reveals consistent focus on automated driving systems, human-machine interaction in healthcare settings, and perceptual processes related to collision avoidance. Her work increasingly addresses the challenges of human-automation interaction across multiple domains. Dr. DeLucia has received numerous professional honors including: Texas Tech University Faculty Distinguished Leadership Award (2016) Human Factors and Ergonomic Society's Paul M. Fitts Education Award (2015) American Psychological Association Division 21's Franklin V. Taylor Award (2014) Texas Tech University Barnie E. Rushing, Jr. Faculty Distinguished Research Award (2012) She previously served as Editor-in-Chief of Human Factors (2014-2021) and held leadership positions including President of APA Division 21 (2011) and Chairperson of the Accreditation Committee for the Human Factors and Ergonomics Society (2010-2013). Her professional service includes standing review panels for NASA and the Agency for Health Research Quality, demonstrating her impact across multiple scientific domains.

Eun Soo Rheeمشاهده پروفایل

استاد

• Health Communication
• Visual Communication
• Social Media
• +۲ مورد دیگر

Dr. Eun Soo Rhee is a Professor in the Department of Mass Communication at Towson University's College of Fine Arts and Communication. Her academic work bridges advertising theory with practical applications in health messaging, social media dynamics, and international communication frameworks. Education: Ph.D., University of Florida, 2011 Master’s in Advertising, University of Florida B.A. in Advertising and Public Relations, Hanyang University, South Korea Research focuses on critical advertising dimensions: marijuana advertising policy examining regulatory challenges, visual communication uncovering beauty standards in cosmetic surgery websites, and social media analyzing viral dynamics and postpartum mother support networks. She also investigates cultural portrayals in advertising campaigns. Article trends reveal persistent exploration of message strategies across health domains, visual impact analysis, and cross-cultural advertising comparisons. Her work spans from foundational studies on antidepressant advertising (2012) to contemporary social media engagement patterns in youth sports (2024). Her industry insights extend to practical applications in advertising campaigns , account planning , and ethical frameworks in advertising and public relations, though specific awards or funded grants aren't documented in this profile.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۱۴ مورد دیگر

Evren Dağlarlı is an Associate Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University. He holds a Ph.D. in Control and Automation Engineering from ITU and has extensive experience in robotics, artificial intelligence, and intelligent systems. He is actively involved in research projects and has published in top-tier IEEE conferences and journals. Ph.D., Control and Automation Engineering, Istanbul Technical University (2008–2019) M.Sc., Mechatronics Engineering (Intelligent Systems and Robotics), Istanbul Technical University (2005–2007) B.Sc., Electrical Education, Marmara University (2000–2004) B.Sc., Electrical-Electronics Engineering, Ege University (2021–2023) His research focuses on robotics, artificial intelligence, human-robot interaction, cognitive neuroscience, and machine learning . He develops brain-inspired cognitive architectures and applies them to humanoid robots and autonomous systems. His work integrates deep learning, personality modeling, and explainable AI to enhance intelligent behavior in machines. Recent publications highlight a strong trend in generative AI, personality-integrated language models, UAV design, and computational cognitive modeling . His work bridges neuroscience and AI, aiming to create more adaptive, self-aware, and explainable robotic systems. He frequently collaborates with E. Aribas on topics ranging from UAVs to AI-driven personality modeling. Yenilikçilik Ödülü (Innovation Award), Istanbul Technical University, 2024 He has supervised students and co-authored multiple papers with advisees. He has participated in national and international research projects, including the Gökbörü Alemdar Savaşan İHA Projesi (2024–2025). His technical expertise includes ROS, embedded systems, real-time operating systems, and AI frameworks. He is a member of IEEE, ACM, and ASME and actively contributes to the advancement of intelligent systems through research, development, and academic mentorship.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۱۷ مورد دیگر

Prof. Dr. Antonio Krüger is the CEO of the German Research Center for Artificial Intelligence (DFKI) and Director of the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus in Saarbrücken, Germany. He is a leading researcher in human-computer interaction, virtual and augmented reality, multimodal interfaces, and intelligent systems. His research interests span a broad range of topics including virtual reality (VR), augmented reality (AR), gesture interaction, haptic feedback, EEG and eye tracking, gamification, cognitive load estimation, brain-computer interfaces, and smart environments. His work emphasizes user-centered design, perceptual illusions, and real-world applications in domains such as automotive, healthcare, and education. His recent publications (2023–2024) demonstrate a strong focus on advancing VR interaction through techniques like hand redirection, synthetic gesture generation for vehicles, implicit intent recognition using multimodal sensing, and personalized object referencing. These works reflect trends toward seamless, natural, and adaptive interfaces that leverage AI, perception, and real-time feedback. Prof. Krüger supervises a large team of researchers and students, including Mansi Sharma, Amr Gomaa, André Zenner, and Martin Feick, indicating active mentorship and collaborative research leadership. His lab, UMTL, develops innovative technologies in immersive environments, wearable systems, and intelligent user assistance, contributing to both academic knowledge and practical applications.

Richard Reardonمشاهده پروفایل

استاد

• Social Cognition
• Deception
• Organizational Systems and Design
• +۷ مورد دیگر

Richard Reardon is a Professor in the Department of Psychology & Communication at the University of Idaho, part of the College of Letters, Arts and Social Sciences. He is based at the Coeur d'Alene Center and serves as Director of the Organizational Sciences Program. He teaches courses including Introductory Psychology, Human Relations in the Workplace, Systems and Projects, and Methods and Analysis in Organizational Sciences. Reardon earned his Ph.D. in Social Psychology with a co-major in Complex Processes from the University of Georgia in 1981, an M.S. in Experimental Psychology from the same institution in 1978, and an A.B. in Psychology and Anthropology from the University of North Carolina at Chapel Hill in 1973. Prior to joining the University of Idaho in 1998, he spent 18 years on the faculty at the University of Oklahoma. He held administrative roles including Associate Dean for Outreach in Northern Idaho and Interim Associate Vice President and North Idaho Center CEO, returning to full-time faculty in 2017. His research focuses on social cognition, deception, organizational systems, memory generation effects, source monitoring, persuasion, and math resistance . His work explores how people judge reality, the psychological impact of deception on deceivers, leadership disappointment, and the cognitive benefits of self-generated learning. He has also investigated gender differences in manipulation tactics and achievement motivation in students. His recent publications span topics from deceptive communication to mass media psychology and memory effects. These works reflect a consistent interest in cognitive and social mechanisms underlying behavior, with applications in education, organizational design, and communication. Effects of deception on the deceiver (2018) When are we most disappointed by our leaders? (2013) A psychology of mass communication (2001) Implicit achievement motives and test anxiety (1998) Gender and manipulation in relationships (1996) Self-generated product information memory (1996) Self-concept and reality judgments (1995) Reardon has secured major external funding for projects in curriculum development, disabilities evaluation, vaping awareness, and gamification. He has collaborated with colleagues such as S. Meier, T. Thorsteinson, and J. Beeston. His current research includes the gamification of energy use feedback, video speed-watching effects on memory, and using isomorphic games to reduce math resistance. He has been teaching Introductory Psychology for over three decades in large lectures, small honors classes, and online formats since 2002. He is actively involved in educational outreach and innovation, contributing to both undergraduate and graduate programs in psychology and organizational sciences. His interdisciplinary approach integrates cognitive, social, and organizational psychology to address real-world problems.

Thomas Spragueمشاهده پروفایل

استادیار

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

Thomas Sprague is an Assistant Professor in the Department of Psychological & Brain Sciences at the University of California, Santa Barbara (UCSB), and a member of the UCSB Neuroscience program. He holds a BA in Cognitive Sciences from Rice University (2010) and a PhD in Neurosciences from UC San Diego (2016). His research focuses on understanding how neural systems encode and manipulate information to support goal-directed behavior, leveraging computational neuroimaging (fMRI, EEG) and model-based analysis techniques. Key research interests include visual cognition, working memory, attention, and the neural mechanisms underlying prioritization in dynamic behavioral contexts. His lab, the Perception, Cognition, and Action Lab (PCA Lab), investigates how task goals modulate neural representations of visual information across brain regions. He has received prestigious awards such as the Alfred P. Sloan Research Fellowship and NIH grants. Dr. Sprague’s work is supported by grants from the National Institutes of Health, Army Research Labs, and NVIDIA. He emphasizes open science practices, making data and code publicly available through his lab website and GitHub profile. His contributions include developing methods for multivariate analysis and inverted encoding models to decode neural representations of visual features and behavioral relevance.