جست‌وجوی استاد و پژوهشگر

Oliver Kutzمشاهده پروفایل

استاد

• Computational Logic
• Philosophical Logic
• Cognitive Artificial Intelligence
• +۳ مورد دیگر

Oliver Kutz is a Full Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, leading the KRDB Research Centre for Knowledge-based Artificial Intelligence. His roles include Director of KRDB (2022–2024) and President of the International Association for Ontology and its Applications (IAOA) since 2023. He holds Italian habilitations for Full Professor in Informatics (01/B1) and Information Systems (09/H1), and Associate Professor roles in Philosophy of Science (11/C2) and Mathematical Logic (01/A1). Education: PhD (2005) from University of Liverpool, M.Sc. (2000) from Humboldt University Berlin, studies in Architecture, Mathematics, Philosophy, and Cognitive Science across multiple institutions. Research focuses on computational/philosophical logic, cognitive AI, computational creativity, and applied ontology. Organized major conferences: General Chair of FOIS 2018, EKAW 2020/22, ICCC 2022; Program Chair of DL 2023 and FOIS 2014. Editorial roles: Applied Ontology journal and CEUR Workshop Proceedings. Awards include the BCS Distinguished Dissertation Finalist (2005) and the inaugural Best of JOWO Award (2024). Labs/Teams: KRDB Research Centre, leading ontology and computational creativity projects. Active in standardization (OMG OntoIOp) and EU projects like COINVENT.

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +۷ مورد دیگر

Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.

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

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

Vasanth Sarathyمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Natural Language Processing
• Neuro-symbolic Machine Learning
• +۷ مورد دیگر

Vasanth Sarathy is a Research Assistant Professor of Computer Science at Tufts University, specializing in the intersection of Artificial Intelligence and Natural Language Processing. His work combines neuro-symbolic machine learning techniques with social and cognitive sciences to develop socially-competent and safe AI systems. Education: Ph.D. in Computer Science and Cognitive Science, Tufts University (2020) Juris Doctor (J.D.), Boston University School of Law (2010) M.S. in Electrical Engineering and Computer Science, MIT (2005) B.S. in Electrical Engineering, University of Arkansas (2003) His research spans three interconnected themes: Social NLP, Reasoning with Social Norms, and Sense-making and Problem-Solving. Through Social NLP, he develops computational methods to uncover patterns in human social behavior using qualitative texts. His work on Reasoning with Social Norms focuses on building AI architectures that can understand and apply social norms in reasoning and language interpretation. His Sense-making research explores how humans and AI systems simplify complex worlds for efficient problem-solving. His recent publications demonstrate a growing trend toward integrating Large Language Models with symbolic reasoning for more trustworthy AI. His work spans applications including automated writing assistance, intelligent tutoring, fact-checking, social media content moderation, and embodied social robots. His research shows particular strength in developing methods that combine neural and symbolic approaches to address complex social reasoning tasks that neither approach could solve alone. Previously, Dr. Sarathy worked as a Senior Researcher of AI at Smart Information Flow Technologies, collaborating with the U.S. Department of Defense and Intelligence Community. Before his AI career, he practiced intellectual property law at Ropes and Gray for nearly a decade. His unique interdisciplinary background bridges technology, law, and cognitive science. He advises students in AI, NLP, and cognitive systems, with research supported by grants from DARPA and other government agencies. His work has applications in human-robot interaction, social media analysis, and educational technologies. Outside academia, he creates single-panel cartoons, practices martial arts, plays chess, and designs puzzle video games. His interdisciplinary journey from law to AI has been featured in a BU Law article.

Elaine Shortمشاهده پروفایل

استادیار

• human-robot interaction
• accessibility
• robotics
• +۴ مورد دیگر

Elaine Short is an Assistant Professor in the Department of Computer Science and a secondary appointment in Mechanical Engineering at Tufts University's School of Engineering. She leads the Assistive Agent Behavior and Learning (AABL) Lab, focusing on human-robot interaction, accessibility, and assistive technology. Education: PhD in Computer Science, University of Southern California (2017) MS in Computer Science, University of Southern California (2012) BS in Computer Science, Yale University (2010) Her research applies human-centered design and disability community values to AI/ML development in robotics, emphasizing robust human-robot interaction in natural environments, group/crowd dynamics, and inclusive design for non-normative users. Recent publications highlight trends in human-robot co-creative collaboration, shared control systems, policy modification through imagined actions, and accessibility challenges in robotics. Awards include NSF Graduate Research Fellowship, Google Anita Borg Scholarship, and multiple teaching/research recognitions. Scientific Awards: National Science Foundation Graduate Research Fellowship USC Provost's Fellowship Google Anita Borg Scholarship Viterbi School of Engineering Merit Award WiSE Merit Award Best Research/Teaching Assistant Awards Saybrook College Mary Casner Prize

Scott D Bartonمشاهده پروفایل

دانشیار

• Robotics Engineering
• Music Perception and Cognition
• Audio Production
• +۳ مورد دیگر

Scott D Barton is an Associate Professor in the Department of Humanities & Arts at Worcester Polytechnic Institute (WPI), with affiliations in Robotics Engineering, Psychology, and Interactive Media & Game Development. His work bridges music, robotics, and cognition, focusing on robotic musical instruments, human-robot interaction, and perceptual studies. He holds a BA from Colgate University (1998), an MMus from Brooklyn College (2006), and a PhD from the University of Virginia (2012). Research interests include designing automated musical instruments, exploring how cognitive processes shape musical perception, and applying AI to music creation. Key projects involve the Music, Perception and Robotics Lab , where he develops systems like Cyther (a self-tuning robotic zither) and Parthenope (a robotic siren). His work has been showcased in venues like the International Conference on New Interfaces for Musical Expression. Barton emphasizes interdisciplinary collaboration, teaching students to merge technical skills with creative expression. Media coverage includes interviews in The New York Times and The Telegram & Gazette , discussing topics like urban sound phenomena and robot-human concerts. His performances blend algorithmic composition with live robotics, exemplifying WPI's focus on innovative engineering and art. Grants and collaborations are central to his work, though specific funding details are not provided. Advising focuses on guiding students in creating novel musical technologies and understanding perceptual frameworks. Upcoming events include performances at the International Computer Music Conference and workshops on computer music technology.

Maryam Alimardaniمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces
• Virtual Reality
• Neurofeedback
• +۵ مورد دیگر

Dr. Maryam Alimardani is an Associate Professor at the Faculty of Science, Computer Science department, Vrije Universiteit Amsterdam, and a member of the Network Institute. Her research focuses on neurotechnology applications in human-computer interaction, including brain-computer interfaces (BCIs), virtual reality (VR), and robotics. She explores topics such as neurofeedback training for ADHD, workload prediction in flight simulations, and the psychological impact of human-agent interactions. Her work bridges cognitive neuroscience, robotics, and educational technology, with a particular emphasis on improving mental health interventions and learning outcomes through technology. Research interests include EEG analysis for cognitive state monitoring, gamification strategies in BCI training, and the uncanny valley effect in human-robot collaboration. She has contributed to studies on social robotics for stress management, virtual agent design, and the neurophysiological basis of trust in AI systems. Her recent publications address VR flight simulation neural patterns, the role of gender in motor imagery BCIs, and the ethical implications of passive vs. active BCIs. Collaborations span aviation neurophysiology, consumer neuroscience for sustainability, and pediatric language learning through robots. Alimardani teaches Human-Computer Interaction courses and leads projects on adaptive learning systems. Her work emphasizes translational research, applying neuroscientific insights to real-world applications in education, healthcare, and human-technology collaboration.

Hyeyoung Maengمشاهده پروفایل

استادیار

• Contemporary Art
• Expanded Painting Practices
• Art Education
• +۵ مورد دیگر

Hyeyoung Maeng is an Assistant Professor of Art in Painting & Drawing at California State University, Fresno within the College of Arts and Humanities and Department of Art, Design, and Art History. Her academic appointments include teaching Painting, Intermediate and Advanced Drawing, Korean Ink Painting, and Graduate Critique Seminar courses since joining Fresno State. PhD in Contemporary Arts (Art Practice-Based), LICA, Lancaster University, UK (2018) MFA in Fine Arts Painting, San Francisco Art Institute, USA MFA in Korean Painting, College of Fine Art, Kyung Hee University, Seoul, South Korea BFA in Fine Art Education (Korean Painting Major), College of Education, Kyung Hee University, Seoul, South Korea Maeng's research centers on expanded painting practices that fuse Western and Korean traditions through digital media and video art. Her Documentation Art project reimagines Korean Bunche painting as experimental video installations while integrating Deleuze's philosophy of time-image and Taoist aesthetics. Current work investigates Equity, Diversity, and Inclusion (EDI) in human-AI companion robot interactions, funded by the National Research Foundation of Korea and RSCA Awards, positioning her at the intersection of post-digital theory and post-humanist discourse. Analysis of her publications reveals consistent exploration of Deleuzian frameworks applied to artistic practice and pedagogy, with recurring themes of process ontology, transcendental realism, and inclusive art education. Her work demonstrates how philosophical concepts transform both creative methodologies and educational approaches in contemporary art contexts. RSCA Award Maeng has secured significant research funding including National Research Foundation of Korea grants for her EDI in human-AI interaction project. While specific advisees aren't documented, her teaching portfolio shows active mentorship in graduate painting and critique seminars. Her artistic practice functions as scholarly output through international exhibitions at venues including Seoul Art Centre, Stony Brook University, and FACT Liverpool. The Documentation Art project serves as her primary creative research studio, producing video installations and digital works exhibited globally from Prague to San Francisco, with recent focus on non-human ontology and AI humanity as evidenced by 2024 solo exhibitions in New York and Seoul.

Eduardo José dos Foros Santos Gonçalvesمشاهده پروفایل

استادیار

• Sustainability
• Industrial Design
• Lighting Design
• +۸ مورد دیگر

Eduardo José dos Foros Santos Gonçalves is an Assistant Professor in the field of Design at Universidade Europeia, with a PhD in Design. He has been affiliated with IADE-Universidade Europeia since 2003, contributing to design education and research, and is a full member of the UNIDCOM research unit, where he served as Executive Director from 2018 to 2021. His work bridges academic research and practical applications in design, particularly focusing on sustainability and human-centered approaches. PhD in Design (2016, Faculty of Architecture of Lisbon) Master in Urban Design (2006, Universitat de Barcelona) Bachelor in Industrial Design (2000, IADE) His research spans multiple disciplines, emphasizing Sustainability , Industrial & Lighting Design , and the integration of Machine Learning and Robotics into design practices. He explores how Environmental Psychology and Design for Behaviour Change can shape sustainable solutions, and his work often involves Analogue and Digital Modelling for prototyping and Statistics in design analysis. Recent publications highlight his focus on crisis resilience, such as the 2023 Shelter Project for earthquake survival, and the 2022 study on Virtual Reality in design education. His 2021 papers address gender-neutral toy design and kitchen-based food waste reduction, reflecting his commitment to Design for Social Change and Sustainable Innovation . Earlier works (2019, 2017) explore ideation techniques and public lighting, respectively. He has supervised several Master’s and PhD students, including Neves Pimenta (2022) on kitchen sustainability and Dos Santos (2018) on creativity metrics. Active in academic governance, he participates in international conference committees and serves on the editorial board of DISCERN Journal , promoting design-driven sustainable solutions.

Maria Yabloninaمشاهده پروفایل

استادیار

• Computational Design
• Digital Fabrication
• Robotic Construction
• +۳ مورد دیگر

Maria Yablonina is an Assistant Professor at the John H. Daniels Faculty of Architecture, Landscape and Design, University of Toronto, where she contributes to research and education in integrative computational design and construction for architecture. She leads and has been associated with the Integrative Computational Design and Construction for Architecture (T3.0) research team, focusing on innovative approaches at the intersection of design and construction technologies. Her research interests include computational design, digital fabrication, robotic construction, and interactive architecture. These areas reflect a strong commitment to advancing architectural practice through automation, responsive systems, and integrative design methodologies. Her work bridges the gap between digital design tools and physical construction processes, aiming to enhance efficiency, precision, and creative potential in architectural projects. The available information does not include recent publications; however, her research direction suggests a focus on automation in architecture, human-robot collaboration, and adaptive building systems. Her contributions are likely reflected in emerging technologies applied to architectural design and construction. No scientific awards listed in the provided text. Maria Yablonina advises students and contributes to academic training within her faculty, though specific advisees are not named. There is no mention of external grants or funding sources in the current data. She has been part of advanced research initiatives, particularly in computational and robotic applications in architecture. She was previously involved with the Integrative Computational Design and Construction for Architecture (T3.0) research team, which explores novel workflows integrating design computation with robotic fabrication techniques, aiming to transform how buildings are designed and constructed.

Matthew Dennisمشاهده پروفایل

استادیار

• Ethics of Technology
• Digital Well-Being
• AI Ethics
• +۶ مورد دیگر

Matthew Dennis is an Assistant Professor in Ethics of Technology at Eindhoven University of Technology (TU/e) , affiliated with the Philosophy & Ethics group and the EAISI institute. He co-directs the Eindhoven Center for Philosophy of Artificial Intelligence (ECPAI) and serves as Senior Research Fellow with the Ethics of Socially Disruptive Technologies (ESDiT) consortium. His research examines how emerging technologies challenge concepts of fairness, autonomy, well-being, and creativity , particularly in digital content consumption and AI-generated synthetic content. He contributes to debates on digital well-being, algorithmic ethics, and self-cultivation , with a focus on platform design and societal impact. Key Collaborations : European Parliament's Science-Media Hub, Royal Bank of Scotland, EIT Digital, Responsible Sensing Lab Academic Leadership : Co-edited Philosophy of Fame & Celebrity (Bloomsbury 2024), Values for a Post-Pandemic Future (Springer 2023), and Ethics of Self-Cultivation (Routledge 2018) Scientific Contributions : Published in Science and Engineering Ethics , Ethics & Information Technology , and Journal of Applied Philosophy Recognized with the Next Nature Fellowship (2024) , Dennis integrates French/German philosophy with practical technology ethics, currently co-designing a digital wellness space with What Design Can Do .

Markus Tatzgernمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.

János Kataمشاهده پروفایل

مدرس ارشد

• Educational Sciences
• Technical Pedagogy
• Vocational Education
• +۵ مورد دیگر

János Kata is a Senior Lecturer at the Department of Technical Pedagogy , Budapest University of Technology and Economics (BME), Faculty of Economics and Social Sciences. His work focuses on technical pedagogy, higher education assessment, and vocational training processes. With a background in mechanical engineering and engineering teacher education, he has contributed extensively to understanding student failure phenomena, group assessment methods, and lifelong learning frameworks. Research Trends: Analysis of student performance, technology integration in education, and optimization of vocational training using system engineering models. Key Publications: Books and conference papers on learning technology, brainstorming-based assessment, and cultural dimensions of education (2013-2000). Academic Affiliations: Active member of BME's Department of Technical Pedagogy since 1999. Holds degrees in mechanical engineering and engineering pedagogy from BME. Notable Contributions: Development of operation research teaching methods for technical educators and system engineering models for vocational training optimization. His 1999-2013 works bridge theoretical pedagogy with practical industrial education needs.

Hannes Ritschelمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Reinforcement Learning
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Hannes Ritschel is a Researcher at the Chair of Human-Centered Artificial Intelligence , Department of Computer Science, University of Augsburg , and a Professor at the University of Music Würzburg . His work focuses on adaptive AI systems for human-robot interaction, leveraging reinforcement learning to personalize robot behaviors based on social cues. His research interests span Artificial Intelligence , Reinforcement Learning , Natural Language Generation , and Multimodal Interaction . He has pioneered techniques for socially-aware robots, including humor and irony generation, adaptive linguistic styles, and real-time behavior synchronization. Recent publications highlight his work on generative AI for virtual agents , multimodal joke presentation , and privacy-by-design speech assistants . Key themes include emotion recognition, human-agent trust, and AI applications in health and music education. Scientific Awards: Best Technical Paper Award, PETRA 2019 Best Poster Award, PETRA 2019 He mentors students in projects related to reinforcement learning , social robotics , and creative AI , with advisees including Kathrin Janowski, Andreas Seiderer, and Thomas Kiderle. His teaching includes lectures on Content Creation for Virtual Environments and Reinforcement Learning , bridging art and computer science.