جستجوی استاد راهنمای دانشگاهی

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نمایش ۷۳۶-۷۵۰ از ۷۸۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Sarah Morrison-Smithمشاهده پروفایل

استادیار

Hamilton CollegeUnited States

Sarah Morrison-Smith is an Assistant Professor of Computer Science at Hamilton College. Her research explores the intersection of psychology and computer science to enhance collaborative work environments and advance accessible technological design. She teaches courses in human-computer interaction and programming languages. Ph.D., University of Florida (Human-Centered Computing) M.S., Colorado State University (Computer Science) B.S., Montana State University (Computer Science) Morrison-Smith's research focuses on human-computer interaction , collaborative tools , and accessibility . She investigates natural user interfaces for mobile devices and wearables, develops ambient displays for team awareness, and studies bioinformatics software challenges. Her recent publications analyze data-sharing transparency , gesture interaction , and collaborative workflows across 15 studies from 2015-2025. Key themes include multimodal authentication, qualitative data analysis tools, and accessibility in scientific research. NSF CRII: RUI: Transparency and Access Control in Life Science Data Sharing (2022) Google Explore CS Research (exploreCSR) Morrison-Smith employs interdisciplinary methodologies combining user studies , dataset creation , and interface prototyping . Her work spans bioinformatics, plant phenotyping, and multimodal authentication systems.

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Manolya Kavakli-Thorneمشاهده پروفایل

دانشیار

Macquarie UniversityAustralia

Dr. Manolya Kavakli-Thorne serves as Associate Professor and Honorary Professor at Macquarie University's School of Computing, specializing in advanced human-computer interaction systems. Her research bridges virtual reality, augmented reality, and gaming technologies with practical applications across diverse domains including healthcare, film production, and transportation safety. Her primary research interests focus on: Virtual reality systems design and implementation Human-computer interaction paradigms Augmented reality applications in real-world contexts Computer game mechanics and serious gaming Gesture recognition systems for 3D modeling Generative adversarial networks for image synthesis Analysis of her recent publications reveals a strong trajectory toward practical implementations of immersive technologies. Her work demonstrates increasing focus on real-world applications of virtual production systems in filmmaking, gamification for behavioral change, and medical applications of VR/AR technologies. The interdisciplinary nature of her research connects computer science with psychology, engineering, and creative industries. Dr. Kavakli-Thorne has secured significant research funding through 15 projects including the Centre for Elite Performance Expertise and Training (CEPET), Virtual-Reality intervention platforms for Cerebral Palsy patients, and Mobile Augmented Reality Systems (MARS) Design. Her collaborative approach is evident in projects spanning lifeguard performance enhancement and virtual reality dome systems development. Her laboratory work centers around immersive simulation environments, virtual production studios, and mobile augmented reality systems. Current research directions include refining generative AI applications in medical imaging, developing more intuitive multi-modal interfaces for 3D modeling, and expanding the use of serious games for safety-critical training scenarios.

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Moritz Daumمشاهده پروفایل

استاد

University of ZurichSwitzerland

Prof. Dr. Moritz Daum is the Director of the Jacobs Center and holds the Professorship of Developmental Psychology at the Department of Psychology, University of Zurich . His academic career includes a Licentiate Degree (2001) and PhD (2005) in Psychology from the University of Zurich, and a Habilitation (2011) from the University of Leipzig. Previously, he led the Infant Cognition and Action Research Group at the Max Planck Institute and worked as a Senior Researcher in Munich/Leipzig.

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Christin Schulzeمشاهده پروفایل

مدرس

University of New South WalesAustralia

Christin Schulze is a Lecturer in Computational Cognitive Science at the School of Psychology, University of New South Wales (UNSW Sydney) . Her research investigates cognitive processes underlying adaptive behavior in uncertain environments, focusing on three core areas: (1) development of decision-making strategies in childhood, (2) influence of firsthand probabilistic experience on judgments, and (3) differences between individual and group strategies for handling uncertainty. Key real-world applications include avalanche risk navigation and educational decision-making Collaborations span institutions like University of Basel, University of Potsdam, and University of Melbourne Recent work explores cognitive cost timelines, adaptivity in probability learning, and social sampling mechanisms. Publications emphasize computational modeling, experimental validation, and cross-species comparisons (humans/chimps). She teaches in UNSW’s Psychology School and contributes to international handbooks and journals.

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Philipp Beckerleمشاهده پروفایل

استاد

University of Erlangen–NurembergGermany

Prof. Dr.-Ing. habil. Philipp Beckerle is a Professor (W3) and chair of the Chair of Autonomous Systems and Mechatronics at the Department of Electrical Engineering, Electronics and Information Technology (EEI) and the Department of Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nuremberg. His office is located in Room 02.036 at Paul-Gordan-Straße 3/5, 91052 Erlangen. Dr. Beckerle earned his mechanical engineering degree with specialization in mechatronics from TU Darmstadt in 2009 and completed his doctorate in mechatronics from the same institution in 2014. His academic journey includes serving as deputy director, senior engineer, and junior research group leader at TU Darmstadt from 2014 to 2018, with visiting researcher positions at Vrije Universiteit Brussel, Arizona State University, and the University of Siena. From 2018 to 2020, he led the Elastic Lightweight Robotics research group at TU Dortmund University as a junior professor (W1). Dr. Beckerle's research focuses on human-centered mechatronics and robotics , with specific interests in wearable robotics, elastic actuators, body schema, and human-robot interaction. His work bridges engineering principles with human factors to create intuitive robotic systems for rehabilitation and assistance. His research approach emphasizes user-centered design throughout the development process. His publication record reveals a strong focus on practical applications of robotics in healthcare, with particular emphasis on making robotic systems more responsive to human needs. The trajectory of his work shows progression from fundamental actuator research to integrated human-robot interaction frameworks and user-centered design methodologies. Dr. Beckerle's contributions have been recognized with several prestigious awards: Manfred Hirschvogel Prize MINT Excellence Promotion Prize Eugen Hartmann Prize 2017 (for his work on fault diagnosis in elastically actuated robots) As an educator, Dr. Beckerle teaches courses including Human-centered Mechatronics and Robotics, Mechatronic Components and Systems, and supervises student projects and theses through the Teaching section of his department. He maintains an active research laboratory that likely collaborates with international partners across Europe and North America.

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Tomer D. Ullmanمشاهده پروفایل

دانشیار

Harvard UniversityUnited States

Tomer D. Ullman is an Associate Professor at Harvard University's Department of Psychology , where he leads the Computation, Cognition, and Development Lab . His research focuses on intuitive theories , common-sense reasoning about physics and psychology, and the intersection of Bayesian modeling with cognitive development . He is affiliated with the Center for Brains, Minds and Machines and the Kempner Institute for the Study of Natural and Artificial Intelligence . Research Themes: Mental simulation limits, theory of mind, value alignment in language models, developmental reasoning, computational cognition Teaching: Ullman regularly teaches Decisions, Big and Small: The Cognitive Science of Making up Your Mind (PSY1322) and Imagination, Pretense, and Make-Believe Worlds (PSY1340), both emphasizing interdisciplinary approaches to cognitive science. Scientific Awards: Best Paper Award at ICDL 2012 (with Bonawitz et al.) Recent Publications: His 15 most recent works (2021-2025) span intuitive physics , theory of mind evaluation , mental simulation constraints , LLM behavior , and developmental cognitive studies . Notable subfields include value alignment , probabilistic inference , counterfactual reasoning , and neural-symbolic integration .

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Tamim Asfourمشاهده پروفایل

استاد

Karlsruhe Institute of TechnologyGermany

Prof. Tamim Asfour is a full-time Professor at the Karlsruhe Institute of Technology (KIT), affiliated with the Institute of Anthropomatics and Robotics. His research focuses on humanoid robotics and artificial intelligence (AI), aiming to understand natural intelligence and develop assistive technologies that enhance human quality of life. Develops the ARMAR robot series for versatile tasks in domestic and industrial settings Focuses on mechano-informatics (mechatronics, computer science, AI) and anthropomatics (human-machine symbiosis) Specializes in visual/haptic perception, object manipulation, and human-robot interaction Creates wearable assistive technologies like exoskeletons and hand prostheses His work emphasizes intuitive programming through demonstration, where robots learn via observation, imitation, and self-experience. Asfour envisions a "movement alphabet" for robot programming, enabling complex action combinations. He positions robotic AI as a transformative force for future applications in work, healthcare, and education.

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Paul Hibbertمشاهده پروفایل

استاد

University of St AndrewsUnited Kingdom

Paul Hibbert is Professor of Management at the University of St Andrews and an Honorary Professor at the University of Auckland. He has held significant leadership roles including Head of School, Dean of Arts & Divinity, and interim Vice-Principal for Education. His research focuses on management and leadership learning, with a special emphasis on reflexivity, reflexive practice, and qualitative research approaches. Education Fellow of the Higher Education Academy (2007) Fellow of the Chartered Management Institute (2018) Fellow of the British Academy of Management Fellow of the Academy of Social Sciences His research explores how reflexive practice enhances leadership development, organizational learning, and interdisciplinary collaboration. He advocates for critical approaches in management education and has developed frameworks for responsible management education and emotion work in organizations. Recent publications highlight trends in reflexive methodology, interdisciplinary learning, leadership philosophy, and the role of emotions in organizational contexts. His work bridges theoretical rigor with practical application in management scholarship. Scientific Awards Six Best Paper Awards (Academy of Management, Australia and New Zealand Academy of Management, British Academy of Management) British Academy of Management Medal for Knowledge Development Paul has led editorial roles for Academy of Management Learning & Education and British Journal of Management , and currently serves on editorial boards for multiple journals. He co-directs the InGAME project (2018–2023), focusing on innovation in games and media enterprises.

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Michał Chromiakمشاهده پروفایل

استادیار

Maria Curie-Sklodowska UniversityPoland

Dr. Michał Chromiak is an Assistant Professor at the Department of Cybersecurity and Computational Linguistics , part of the School of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University . With a PhD in Computer Science from the Polish Academy of Sciences and dual MSc degrees in Mathematics and Computer Science, he focuses on understanding the chaos in data through research in Machine Learning, Deep Learning, and Software Engineering. PhD in Computer Science (Polish Academy of Sciences) MSc in Mathematics and Computer Science His scientific activity spans cross-domain feature transfer in computer vision (e.g., DINOv2, MAE), reinforcement learning (e.g., Decision Transformer), and neural architecture analysis (MLP-Mixer, Transformers). He actively shares insights through his blog, covering topics like Attention Mechanisms , Self-Supervised Learning , and Sequence Modeling . Dr. Chromiak serves on the Program Committee for ECAI 2024 and maintains a strong online presence via ORCID , GitHub , and LinkedIn . Contact for teaching matters: chromiakm@office.umcs.pl . Consultations available via MS Teams on Thursdays 15-17:15 and Fridays after 15:00.

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João Niza Bragaمشاهده پروفایل

استادیار مدعو

Catholic University of PortugalPortugal

João Niza Braga serves as an Adjunct Assistant Professor and Post-doctoral Research Fellow at the Catholic University of Portugal, primarily affiliated with the Católica Lisbon School of Business and Economics while also teaching in the Faculty of Human Sciences. His academic roles encompass graduate instruction and research leadership at CUBE (Católica Lisbon Research Unit in Business and Economics). Braga holds advanced degrees in Psychology from the University of Lisbon, including both Master's and Ph.D. qualifications. His international research experience includes visiting positions at Indiana University and New York University. Ph.D. in Psychology, University of Lisbon Master's in Psychology, University of Lisbon His research program investigates intuitive cognitive processes in consumer behavior, economic decisions, and social interactions, with particular emphasis on heuristic processing in online contexts and hedonic experiences. Key contributions examine how representativeness and availability heuristics operate in consumer decision-making, sports prediction, and conspiracy thinking, bridging experimental psychology with real-world business applications. Current work explores digital environment effects on health-related choices and mindfulness interventions. Analysis of his 15 most recent publications (2015-2024) reveals a methodological focus on disentangling cognitive mechanisms through controlled experiments, with recurring themes in hot-hand fallacies, online shopping behavior, and causal perception errors. His work consistently applies psychological theory to business contexts, particularly in marketing and managerial decision-making. Scientific recognition includes: FCT Postdoctoral Research Grant (2017) As a Post-doctoral Research Fellow at CUBE, Braga directs funded research projects examining heuristic processing in digital environments while mentoring graduate students in consumer behavior methodology. His academic service includes developing curriculum for Master's programs across business and human sciences disciplines. He maintains active research collaboration through CUBE, a multidisciplinary hub fostering innovation in business and economics scholarship at Catholic University of Portugal, where his work integrates psychological science with practical business insights.

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John F Hughesمشاهده پروفایل

استاد

Brown UniversityUnited States

John F Hughes is a Professor of Computer Science at Brown University's School of Engineering. His work bridges computer graphics and mathematics, with a focus on intuitive interfaces for 3D modeling and visualization. He has made significant contributions to sketch-based interfaces, art-based graphics, and shape modeling. Education: PhD in Mathematics, University of California, Berkeley (1982) MA in Mathematics, University of California, Berkeley (1982) BA in Mathematics, Princeton University (1977) Professor Hughes's research centers on computer graphics with strong mathematical foundations. He specializes in the modeling of shape and form at multiple scales, human-computer interaction, and art-based graphics. His work explores how artists' techniques can be utilized to enhance human-computer communication about shape. He has recently expressed interest in machine learning applications to graphics problems. His approach emphasizes informal modes of input and output, particularly sketching as a means to describe shape and expressive renderings for information communication. His publication record shows a consistent focus on sketch-based interfaces for 3D modeling, art-based rendering techniques, and mathematical approaches to graphics problems. Over time, his work has evolved from foundational mathematical approaches to more applied interactive systems, while maintaining a strong connection to mathematical principles. Recent publications indicate expanding interests into machine learning applications for graphics and computational approaches to sparse data. Scientific Awards: User Interface Software and Technology (UIST) Best Paper Award Professor Hughes has received substantial research funding from major technology companies and government agencies. His funded research includes a gift from Pixar supporting graduate fellowships in computer graphics (since 2000), research grants from Microsoft, NSF, and collaborations with IBM and Sun Microsystems. His work has been instrumental in advancing sketch-based interfaces and art-based rendering techniques, with applications ranging from character animation to document navigation interfaces. He maintains active collaborations with researchers across the computer graphics community, particularly in the areas of sketch-based interfaces and modeling. His work with Takeo Igarashi, Tomer Moscovich, and other collaborators has been highly influential in the computer graphics community, shaping how we interact with 3D content through intuitive sketching interfaces.

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Martin Christof Kindsmüllerمشاهده پروفایل

استاد

University of HamburgGermany

Martin Christof Kindsmüller is a Professor of Human-Computer Interaction at the University of Applied Sciences Brandenburg , holding this position since September 2014. Previously, he served as Acting Professor of Human-Computer Interaction at the University of Hamburg (2012-2014). Member of GI e.V. - Fachbereich MCI Associated with Zentrum Mensch-Maschine-Systeme (ZMMS) at TU Berlin Co-founder of IUUI Research Group - Intuitive Use of User Interfaces Research Interests: His work spans User Experience (UX) , Usability Engineering , and Intuitive User Interfaces , with applications in Smart Applications , Medical Systems , and cross-platform development. He has contributed to frameworks like HCD3A for data-driven app design and theories of trend literacy. Recent Publication Trends: His 2025 studies focus on tangible interfaces and collaborative spatial interaction , while 2024 work addresses artistic data visualization and media informatics education . Earlier research (2021-2017) emphasizes UX implementation in SMEs , zooming UIs , and emotional computing . Academic Contributions: He has served on program committees for Mensch & Computer , CogSci , and KogWis conferences, and as reviewer for Behaviour & Information Technology . His teaching focuses on media informatics curricula and practical UX integration.

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Robin Abendscheinمشاهده پروفایل

پژوهشگر

Julius-Maximilians-Universität WürzburgGermany

Robin Abendschein is a Researcher at the Chair of Psychological Ergonomics within the Institute for Human-Computer-Media , part of the Faculty of Human Sciences at Julius-Maximilians-University Würzburg . She holds an M.Sc. in Human-Computer Interaction from the same university and a B.Sc. in Business Information Systems from Baden-Württemberg Cooperative State University (Mosbach). Studied Human-Computer Interaction (M.Sc.) at University of Würzburg Completed research internship in Dementia Aging Technology Engagement (DATE) Lab, University of Toronto B.Sc. in Business Information Systems from Baden-Württemberg Cooperative State University Her research focuses on Visual Attention Distribution , Situational Awareness , and Privacy in technology design, with a specialization in Accessibility & Inclusive Design for marginalized populations. Her work bridges Human Factors and User Experience Design for Fundamental Values , particularly in safety-critical systems and extended reality environments. Recent publications emphasize trends in Mixed Reality Accessibility for Dementia , Metaverse Usability , and Emergency Handover Optimization . She has collaborated extensively with the Psychological Ergonomics team and contributed to developing inclusive design frameworks through empirical studies involving diverse user groups. Current teaching activities include: Accessibility & Inclusive Design Methods of User-Centered Design She is affiliated with the Psychological Ergonomics team at the Institute for Human-Computer-Media , and her future work aims to validate accessibility guidelines through experimental testing.

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David Santos Velascoمشاهده پروفایل

دانشیار

IE UniversitySpain

David Santos Velasco is an Associate Professor of Psychology at IE University's School of Human Sciences and Technology, where he has taught full-time since 2019. He earned a PhD in Social Psychology (with honors) from the Autonomous University of Madrid (UAM) and The Ohio State University, along with a Master's in Statistics and a Bachelor's in Psychology from UAM. His research focuses on attitude change, metacognitive processes, and their influence on opinions, with applications in social influence, consumer psychology, and political psychology. PhD in Social Psychology (UAM & OSU, 2018) MSc in Statistics (UAM, 2014) BSc in Psychology (UAM, 2012) His work includes research stays at The Ohio State University (under Pablo Briñol and Richard Petty) and Stanford University's Graduate School of Business. He collaborates with Intermedia Social Innovation (addressing cyberbullying) and IE Business School's Travel Club Chair (loyalty programs). His teaching philosophy emphasizes practical knowledge over theory, treating classrooms as real-world models to prepare students for dynamic professional environments. David's research spans topics like holistic-analytic thinking styles, attitude-behavior consistency, and metacognitive interventions to reduce prejudice. His published works appear in journals such as Personality and Social Psychology Bulletin and Psychology of Violence . Though no explicit scientific awards are listed, his work aligns with SDGs 3 (Good Health), 5 (Gender Equality), and 10 (Reduced Inequalities). He advises students to challenge intuitive social theories, promoting evidence-based understanding of human behavior. Outside academia, he engages in painting, sports (tennis/padel), and enjoys Stranger Things. His email contact is dsantosv@faculty.ie.edu and david.santos@uam.es .

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Sheila Sutjiptoمشاهده پروفایل

پژوهشگر ارشد

University of Technology SydneyAustralia

Sheila Sutjipto is a Postdoctoral Research Fellow at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS). Her research focuses on robotics, virtual reality, and human-robot interaction, with applications in mining safety, assistive technology, and industrial automation. She has published extensively in top robotics conferences and journals, demonstrating expertise in teleoperation systems, digital twin technology, and sensor fusion for robotic applications. Dr. Sutjipto's research spans multiple domains of robotics and human-computer interaction. Her work particularly emphasizes virtual reality interfaces for robot teleoperation , digital twin technology for industrial applications , and multi-modal perception systems . She has made significant contributions to mining safety through rock scaling robotics, assistive technology for visually impaired individuals, and haptic feedback systems for industrial robots. Her interdisciplinary approach integrates mechanical engineering, computer vision, and human factors to develop intuitive and safe robotic systems. Dr. Sutjipto's recent publications demonstrate a strong trajectory toward practical applications of robotics in challenging environments. Her work on digital twin-based teleoperated rock scaling robots addresses critical safety issues in mining operations. She has also pioneered multi-modal perception systems combining RGB, event cameras, and LiDAR for assistive robotics. A consistent theme across her publications is enhancing human-robot interaction through intuitive interfaces, whether via virtual reality, haptic feedback, or annotation-assisted control systems. Dr. Sutjipto has been involved in several funded research projects, including the HALO rock scaling robot project (stages 2 and 3), IntelliForce Tooling for hydraulic safety, and integration of live surround video for VR digital twins. She has collaborated with industry partners like Ausdrill and BTP Parts Pty Ltd. Her grant history shows a strong industry-academia collaboration focused on practical robotics applications. Dr. Sutjipto appears to be part of the robotics research group at UTS's School of Mechanical and Mechatronic Engineering. Her collaborations suggest involvement with teams focused on mining robotics, assistive technology, and industrial automation. She frequently collaborates with researchers like G. Paul, D.T. Le, and K. Nguyen, demonstrating strong interdisciplinary teamwork across engineering disciplines.

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