جست‌وجوی استاد و پژوهشگر

Tor Ole Bigton Oddenمشاهده پروفایل

دانشیار

• Computational Thinking in Physics Education
• Physics Education Research
• Natural Language Processing in Science Learning
• +۷ مورد دیگر

Tor Ole Bigton Odden is an Associate Professor at the Center for Computing in Science Education (CCSE) , University of Oslo, specializing in physics education research. His work bridges physics, computation, and educational theory to enhance student learning. Current roles: Research, teaching, and mentorship at CCSE Research focus: Computational literacy, epistemic agency, and AI in science education Education PhD in Physics Education, University of Wisconsin-Madison MSc in Physics, University of Wisconsin-Madison BSc in Physics, St. Olaf College Research Interests Tor Ole develops computational tools to empower students in physics learning. His research explores: Programming and creative ownership in physics Machine learning for large-scale qualitative analysis Epistemic agency and sensemaking Training teaching assistants Article Trends His publications emphasize computational essays, AI applications, and sensemaking frameworks. Key subfields include computational literacy, NLP in educational analysis, and simulation-based learning. Labs & Projects He contributes to the IMPEL project (Interactive Engagement in Physics) and collaborates with the Section for Physics Didactics at the University of Oslo.

Donald McMillanمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Conversational Interfaces
• Machine Learning Applications
• +۳ مورد دیگر

Donald McMillan is an Associate Professor (Docent) in Human-Computer Interaction at Stockholm University's Department of Computer and Systems Sciences. He is a core member of the Stockholm Technology & Interaction Research (STIR) group, which brings together technologists and social scientists to research and build new digital technologies within the Human-Computer Interaction field. His research focuses on the adoption, adaptation, and use of novel technology in everyday settings, with particular emphasis on expanding the interactional repertoire of conversational interfaces. McMillan investigates how insights from fluid human-human communication can inform the development of better human-computer interaction paradigms through machine learning applications. His work often examines the contextual and social dimensions of technology use in real-world environments. Currently, McMillan serves as Principal Investigator for the Advanced Adaptive Intelligent Systems project, which develops new ways for robots and intelligent agents to understand and adapt to human collaborative work, and the Designing New Speech Interfaces with Ambient Audio project. He is also involved in the Implicit Interaction project. Previous projects include Autonomous Last Mile (developing Extended Reality experiences for human intervention in autonomous vehicle scenarios) and From Tracking to Hacking (exploring how people interact with technology to hack traditional sleep schedules). Advanced Adaptive Intelligent Systems: Developing adaptive interaction frameworks for intelligent systems Designing New Speech Interfaces with Ambient Audio: Expanding conversational capabilities through environmental audio analysis Implicit Interaction: Exploring subtle, background interaction paradigms Autonomous Last Mile: Creating XR experiences for human-robot collaboration scenarios From Tracking to Hacking: Investigating technology adaptation for non-normative sleep patterns His extensive publication record demonstrates deep expertise across multiple HCI domains, with recent work focusing on conversational interfaces, ethical AI considerations, gaze patterns in speech interaction, and contextual wearable technology use. McMillan's research methodology often combines empirical studies of real-world technology use with design implications for future systems, resulting in practical contributions to the field of Human-Computer Interaction.

Mirko Tobias Schaeferمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Applied Ethics
• Socio-Political Debates on Technology
• +۷ مورد دیگر

Dr. Mirko Tobias Schaefer serves as Associate Professor at Utrecht University with dual appointments across the Faculty of Humanities (Department for Media and Culture Studies) and Faculty of Science. He co-founded and leads the Utrecht Data School as Faculty of Science Lead, while also serving on steering committees for the research areas 'Governing the Digital Society' and 'Applied Data Science.' Schaefer holds a visiting professorship at the Helsinki Institute for Social Sciences & Humanities (University of Helsinki) and advises the Dutch Ministry of Finance through the Advisory Committee Analytics. Schaefer earned his MA in theater, film and media studies from the University of Vienna (2002) followed by a PhD from Utrecht University (2008). His academic trajectory includes research fellowships at Vienna's University of Applied Arts (2012-2013), Utrecht University's Centre for Humanities (2014), and Duisburg-Essen's NRW School of Governance as a Mercator Research Fellow (2016). His research centers on the socio-political impact of media technologies, with particular focus on responsible AI implementation and data practices in public institutions. Schaefer investigates how datafication and algorithms transform public management, media ecosystems, and urban spaces through empirical studies conducted with government organizations. His work bridges digital humanities theory with practical governance frameworks, emphasizing public accountability in algorithmic decision-making. Analysis of Schaefer's scholarly output reveals an evolution from early work on user participation and digital culture (notably his 2011 book 'Bastard Culture!') toward contemporary concerns about algorithmic governance and ethical data practices. His recent publications demonstrate increasing engagement with implementation challenges in public sector contexts, reflecting his 'entrepreneurial research' methodology that combines academic inquiry with real-world intervention. As co-founder of the Utrecht Data School, Schaefer has established a distinctive research model where students collaborate directly with government agencies on data projects while developing critical perspectives on datafication. This approach exemplifies his commitment to research that actively shapes the phenomena it studies through practical engagement with public sector challenges.

Saharon Rossetمشاهده پروفایل

استاد

• Statistics
• Data Science
• Machine Learning
• +۳ مورد دیگر

Saharon Rosset is a Professor and Chair in Modern Statistics and Data Science at the Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, since 2007. His expertise spans statistical learning theory, machine learning, and computational biology, with a focus on integrating statistical methods into biological and data science applications. Research Interests: Statistical Learning, Computational Biology, Genomics, Data Science Teaching: Statistics of Big Data, Statistical Genetics, Bootstrap Methods, Data Science His recent publications explore diverse applications including ATP production mechanisms, SARS-CoV-2 evolution, gene-environment interactions, and music structure analysis. He employs methodologies from high-dimensional statistics, random effects modeling, and multiple hypothesis testing. Scientific Awards : Best paper award at KDD-2011 KDD Cup 2007 Winner Best application paper award at KDD-02 He has mentored numerous PhD and MSc students, including Oren Yuval, Giora Simchoni, and Rajesh Karmakar. His collaborative work appears in journals like PNAS , Biometrics , and Journal of Machine Learning Research .

Zoë Woodمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer Science Education
• Scientific Visualization
• +۵ مورد دیگر

Zoë J. Wood is an Associate Professor in the Computer Science Department within the College of Engineering at California Polytechnic State University (Cal Poly). She leads the International Computer Engineering Experience (ICEX) program and serves as faculty advisor for Women Involved in Software and Hardware (W.I.S.H.), a student organization supporting female computing majors. Her educational background includes a Ph.D. and M.S. in Computer Science from the California Institute of Technology. Wood co-founded the interdisciplinary minor Computing for the Interactive Arts, reflecting her commitment to bridging artistic expression with technical skills. Wood's research spans computer graphics, scientific visualization, and computer science education, with a focus on geometric modeling and underwater archaeological visualization. Her work often integrates visual arts, mathematics, and computer science, creating innovative approaches to both research and teaching. Recent projects demonstrate an increasing emphasis on socially responsible computing, diversity in STEM, and community engagement. Her scholarly output shows a clear evolution from technical computer graphics research toward educational innovation and social impact, particularly in broadening participation in computing. The most recent publications focus on socially responsible computing, Latinx student retention, and community-based learning approaches in introductory courses. Wood actively promotes diversity in computing through multiple initiatives, including advising W.I.S.H., developing inclusive curricula, and conducting research on student belonging and retention. Her work with the Computing for the Interactive Arts program empowers students to realize artistic visions through coding. She teaches a range of courses from introductory computing with an arts focus (CSC 123) to advanced computer graphics (CSC/CPE 471), computer animation (CSC/CPE 474), and graduate-level computer graphics (CSC 572). Her teaching philosophy emphasizes creative approaches to computational thinking and technical skill development.

Guido Sommerمشاهده پروفایل

استاد

• Tourism Management
• Digital Marketing
• Open Data Infrastructure
• +۳ مورد دیگر

Guido Sommer is a Professor at the Faculty of Tourism Management of Kempten University of Applied Sciences since 2014, specializing in Digitalization, Tourism Marketing, and Sustainable Data Infrastructure . He leads the Institute for Sustainable and Innovative Tourism Development (INIT) in Füssen since 2020 and serves as Dean of the Faculty of Tourism Management since 2022. His research focuses on tourism data analytics, artificial intelligence applications, and visitor flow management . Professor for Business Administration and Marketing in Tourism Dean, Faculty of Tourism Management Director, Institute for Sustainable and Innovative Tourism Development (INIT) His work centers on digital transformation in tourism , particularly open data infrastructure for smart destinations, AI-driven tourism management , and data-based visitor steering . Key projects include the BavariaCloud Tourism initiative (2018-2021) and the 2040 Tourism Scenarios for Bavaria project (2019). Publications analyze topics like tourism ecosystem dynamics, data governance models, and climate-resilient tourism strategies. His academic career includes studying Organization and Strategic Management in Trier and Madrid, a 2007 PhD dissertation on knowledge-based destination marketing , and prior roles at Cologne Business School (establishing tourism management faculty) and consulting firms. He actively participates in tourism development through advisory roles in the Allgäu GmbH Tourism Advisory Board and Kempten Tourism Council .

• Remix Culture
• Digital Authorship
• Translation Technology
• +۵ مورد دیگر

Stefan Dimov Stefanov is a Senior Lecturer at the Department of English and American Studies, Faculty of Modern Languages, St. Cyril and St. Methodius University of Veliko Turnovo. His academic profile spans multiple disciplines with particular focus on contemporary cultural phenomena shaped by digital technologies. Dr. Stefanov's research interests include: Remix Culture and Digital Authorship Translation Technology and CAT Tools Comparative Literature and Cultural Studies Media Studies and Digital Humanities Philosophy of Language and Contemporary Discourse His scholarly work demonstrates consistent engagement with how digital environments transform creative processes and cultural production. Dr. Stefanov has published extensively on remix practices, examining how digital technologies facilitate new forms of creative reuse while challenging traditional copyright frameworks. His research also explores intersections between language, power, and contemporary social issues, with publications addressing pandemic responses, linguistic politics, and cultural debates. Dr. Stefanov has participated in significant research projects including 'Comparativistics in the Age of Globalization: Perspectives and Challenges' (2014), which investigated connections between Slavic and Anglophone literatures in the post-totalitarian period, transnational dynamics in Slavic literatures, and comparative studies of travel literature about Eastern Europe and the Balkans. His 2024 monograph 'Authorship in Remix Culture: The Creative Reuse of Found Material' provides comprehensive analysis of contemporary remix practices. Other notable publications address the Bulgarian reception of Jerzy Liebert, specialized translation tools, and philosophical implications of remix culture from environmental and ethical perspectives. Dr. Stefanov's academic profile reflects commitment to interdisciplinary scholarship bridging literary studies, digital humanities, translation studies, and cultural criticism, consistently addressing the evolving relationship between technology, creativity, and cultural expression in the 21st century.

• Electronic Music
• Algorithmic Composition
• Audio Signal Processing
• +۲ مورد دیگر

Zlatko Baracskai is a Bosnian-Hungarian experimental musician, sound programmer, and academic. He currently serves as a Senior Lecturer at the University of West of England in the Faculty of Computer Science and Creative Technologies, while also holding a Visiting Professor position at the Faculty of Music in Belgrade's Music Direction Study Program since 2020. His academic journey includes a sonology degree from the Institute of Sonology in Den Haag and a PhD in contemporary composition from the University of Birmingham (2011). Research interests span Electronic music composition Algorithmic sound processing Experimental audio technologies Neural network applications in music Asymmetrical rhythm development His publications demonstrate technical expertise in audio algorithm design and neural networks for sound manipulation, with conference papers presented at AES, ICMC, and IEEE SpliTech. Notable projects include Coca-Cola Beatbox Pavilion (2012) and De-Fuse Interactive Installation (2005).

• Digital Design
• Virtual Reality
• Real-time Rendering
• +۶ مورد دیگر

Hossein Shahi serves as an Instructor in the Art & Design program at Southeast Missouri State University, leveraging dual expertise from his Master of Architecture (M.Arch) and Master of Science (M.S.) degrees to bridge creative design and computational disciplines. His research spans interdisciplinary domains at the intersection of art, technology, and science, with primary focus areas: Digital Design and Immersive Technologies (Virtual Reality, Real-time Rendering) Human-Computer Interaction (UI/UX Design) Artificial Intelligence Systems (Machine Learning, Deep Learning) Computational Methods (Data Science, Programming Languages) As an active scholar, Dr. Shahi contributes to STEAD (Science, Technology, Engineering, Art, and Design) discourse through publications and peer review. He emphasizes experiential learning with his guiding principle: "Curiosity fuels learning," and defines success as "the journey toward growth" rather than a destination.

Arvin Agahمشاهده پروفایل

استاد

• Biomedical Robots
• Applied Artificial Intelligence
• Biomechanics & Neural Engineering
• +۲ مورد دیگر

Arvin Agah is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research spans biomedical robots, applied artificial intelligence, and interdisciplinary applications in behavior navigation systems, human-robot interaction, and computational creativity. Research interests include: Biomedical Robotics for rehabilitation and diagnostics Augmented/Virtual/Mixed Reality in remote assistance Deep Learning for image processing and healthcare Multi-agent communication strategies Evolutionary approaches to digital art and navigation His publications from 2016-2023 reveal a trajectory from foundational work in skin/face detection to advanced VR/AR systems and sociorobotics. Key trends: AI-driven healthcare solutions, immersive interface design, and agent-based collaboration models. Professional activities include: Teaching Agile software development Leadership in robotics competitions for education Development of polar exploration robotics Contact: agah@eecs.ku.edu

Dong Hyun Kimمشاهده پروفایل

استاد

• Design Methodology
• Digital Drawing Representation by VR/AR
• Technology for Living
• +۲ مورد دیگر

Dong Hyun Kim is a Professor in the Department of Architecture at Sejong University , where he has been since 2006. His academic journey includes a M.Arch from Yale University (2002), an M.S. (1995), and a B.S. (1993) in Architecture from Seoul National University. Education: M.Arch, Yale University (2002) M.S., Seoul National University (1995) B.S., Seoul National University (1993) KIM's research focuses on Design Methodology , Digital Drawing Representation using VR/AR , and Building 3D Printing . His work explores the intersection of Parametric Architecture and Technology for Living , emphasizing innovative fabrication techniques and digital tools in architectural design. Recent publications highlight his expertise in Daylighting Performance Assessment (2024) and Deep Neural Network-Based Parameterization Frameworks (2023). His 2018 study on 3D printing technologies and 2009 work on digital design methodologies underscore his long-term commitment to advancing architectural fabrication. KIM's professional experience includes roles at major firms like Daewoo Corp/Construction (1995-1999) and Pei, Cobb, Freed and Partners (2003-2005), prior to his academic career.

Chuong Nguyenمشاهده پروفایل

پژوهشگر ارشد

• 3D Computer Vision
• Mixed Reality
• Machine Learning
• +۷ مورد دیگر

Dr. Chuong Nguyen is a Senior Research Scientist at CSIRO DATA61 and an Honorary Lecturer at the College of Engineering & Computer Science of Australian National University. His career spans institutions including Monash University, CSIRO CMIS, and Johns Hopkins University. Education : PhD in Mechanical Engineering (Monash, 2010), MEng in Eco-Environmental Civil Engineering (Ritsumeikan, 2003), BEng in Aeronautical Engineering (Ho Chi Minh City University of Technology, 2001), and MBA (Australian National University, 2024). Dr. Nguyen's research focuses on 3D computer vision and machine learning for applications in smart manufacturing, agriculture, and medical imaging. His work bridges advanced imaging techniques like digital holography and hyperspectral scanning with practical industrial solutions. His 15 most recent publications span 3D reconstruction, fluid dynamics, and medical imaging from 2017 to 2010. Key trends involve 3D digitization of biological specimens, noise modeling in sensor systems, and velocity field measurement in complex flows. Scientific Awards : CSIRO Julius Career Award (2020) DICTA Best Paper Award (2019) iAward ACT (2014) CSIRO Innovation Award (2013) Performance Cash Reward (2021) Dr. Nguyen supervises PhD and honors students in machine learning and biomechanical imaging. His $1M CSIRO-Google grant (2024) funds 3D digitization of the Australian National Insect Collection. He leads industry collaborations in mining and manufacturing inspection through advanced 3D vision systems. His lab affiliations include the Immersive Environments Lab at CSIRO and the Australian Centre of Excellence for Robotic Vision . He collaborates with institutions like Microsoft Research, Google Research, and the High Resolution Plant Phenomics Centre.

Andreas Fenderمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

Princess Perryمشاهده پروفایل

مدرس ارشد

• Creative Writing
• Fiction
• Business Administration
• +۷ مورد دیگر

Princess Perry is a Senior Lecturer in the Department of English at Old Dominion University , affiliated with the College of Arts & Letters . Her academic credentials include an M.F.A. in Fiction (1998) and a B.S. in Business Administration - Finance (1993), both from ODU. Education : M.F.A. in Fiction, Old Dominion University (1998); B.S. in Business Administration - Finance, Old Dominion University (1993) Research and academic interests span creative writing, business education, and interdisciplinary studies in human factors , psychology , and healthcare simulation as evidenced by her Google Scholar publications. Her recent work explores interruption dynamics in dynamic scenes , telehealth usability , and emergency medicine training , with keywords ranging from clinical evaluation to attentional control . Scientific achievements include: 2003 Virginia Center for the Creative Arts Resident 1998 Virginia Commission for the Arts Fellowship Winner 1998 Zora Neale Hurston/Richard Wright Award Winner She is actively involved in ODU's academic community, with contact via pperry@odu.edu and physical office location at 5044 Batten Arts & Letters, Norfolk, VA 23529 .

Bo Yangمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Robotics
• +۶ مورد دیگر

Bo Yang is an Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University , leading the Visual Learning and Reasoning (vLAR) Group . His work focuses on machine learning, computer vision, and robotics for 3D scene understanding. D.Phil (University of Oxford, 2020) M.Phil (The University of Hong Kong, 2016) B.Eng (Beijing University of Posts and Telecommunications, 2014) Research spans: 3D Vision : Point cloud understanding, semantic segmentation, neural rendering Machine Learning : Unsupervised/disentangled representation learning Robotics : Scene interaction, autonomous navigation Recent publications analyze dynamic 3D scenes (NeurIPS 2023), infinite scene representations (ICML 2024), and unsupervised object segmentation (NeurIPS 2022). Key contributions include RandLA-Net (CVPR 2020), SpinNet (CVPR 2021), and GRF (ICCV 2021). Current teaching includes: AI and Big Data Computing (Spring 2024-2025) Machine Learning and Data Analytics (Fall 2023-2025) Creative Digital Media Design (Spring 2023-2025)