جست‌وجوی استاد و پژوهشگر

Renata Georgia Raidouمشاهده پروفایل

دانشیار

• Medical Visualization
• Visual Analytics
• Uncertainty Visualization
• +۴ مورد دیگر

Renata Georgia Raidou is an Associate Professor in Biomedical Visualization and Visual Analytics at TU Wien's Institute of Visual Computing & Human-Centered Technology. She leads the Research Unit of Computer Graphics and serves as Curriculum Coordinator for the Bachelor in Informatics (Specialization Digital Health) and Master in Medical Informatics programs. She holds prestigious awards including the EuroVis Young Researcher Award (2022), Best PhD Award (2018), and Dirk Bartz Prize (2017). Her research focuses on medical applications of Visual Analytics, with emphasis on uncertainty visualization, comparative visualization, and anatomical edutainment through physicalizations. She explores how visual tools can enhance decision-making in precision medicine, particularly in radiotherapy and cancer treatment. Her work bridges visualization, machine learning, and image processing to address clinical challenges. Raidou's recent projects include developing predictive visual analytics systems for radiotherapy planning and creating tactile physicalizations for anatomy education. She actively contributes to the field through editorial roles (Associate Editor of Computer & Graphics ) and policy advising via EASAC's 'AI in Healthcare' initiatives. Key Projects: Health Virtual Twins for Stroke Management, PREVIS for Radiotherapy Decision Support, Pelvis Runner for Anatomical Variability Analysis Teaching: Courses on Medical Visualization, Data Analytics in Health Sciences, and Visual Computing Grants: European Commission-funded projects (2024–2028) Her lab develops interdisciplinary tools for clinicians, researchers, and educators, emphasizing both technical innovation and real-world impact.

Francesco De Paceمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Virtual Reality
• Human-Robot Interaction
• +۵ مورد دیگر

Francesco De Pace is a PostDoc Researcher at the Institute of Visual Computing and Human-Centered Technology within the Faculty of Informatics at Vienna University of Technology (TU Wien). His research focuses on the intersection of augmented reality, virtual reality, and human-robot interaction, with particular emphasis on developing innovative interfaces for industrial applications. Dr. De Pace's research spans several key areas in immersive technologies and human-computer interaction. His primary interests include Augmented Reality (AR) and Virtual Reality (VR) systems, Human-Robot Interaction (HRI), Brain-Computer Interfaces (BCIs), and advanced tracking and localization techniques. He has made significant contributions to the development of AR/VR interfaces for industrial robots, outdoor tracking with Real-Time Kinematic GPS, and SLAM (Simultaneous Localization and Mapping) systems. His work bridges theoretical research with practical industrial applications, focusing on creating more intuitive and effective human-machine interfaces. Dr. De Pace's recent publications demonstrate a clear trajectory toward enhancing human-robot collaboration through immersive technologies. His research shows increasing sophistication in integrating multiple modalities (visual, spatial, and neural) to create more natural interaction paradigms. A notable trend is the application of AR/VR to industrial settings, particularly for assembly tasks, path planning, and training scenarios. His systematic evaluation of RTK-GPS for wearable AR represents important foundational work for outdoor AR applications, addressing critical challenges in positional accuracy across different environmental conditions. While specific awards are not prominently documented in the available information, Dr. De Pace's research has been supported by significant funding mechanisms, including grants from the Austrian Research Promotion Agency (FFG) under Grant Agreement No FO999886342 KIRAS MRespond, indicating recognition of the importance and potential impact of his work. Dr. De Pace appears to be actively involved in multiple research projects, including PostDisaster and MRespond as indicated in his profile. His collaborative approach is evident through his extensive co-authorship with researchers across institutions. While specific student advising information isn't detailed in the available materials, his role as a PostDoc Researcher likely involves mentoring junior researchers and contributing to the academic development of students working on related projects. Dr. De Pace is associated with the Mixed Reality Lab at TU Wien, as indicated in the website navigation. His research appears to be conducted within collaborative frameworks that include both academic and industry partners. His work on the MRespond project suggests engagement with emergency response applications of mixed reality technologies, indicating interdisciplinary team involvement spanning computer science, engineering, and potentially public safety domains.

Peter Kánمشاهده پروفایل

پژوهشگر

• Photorealistic rendering
• Augmented reality
• Virtual reality
• +۵ مورد دیگر

Peter Kán serves as a Senior Scientist at TU Wien's Faculty of Informatics, Institute of Visual Computing and Human-Centered Technology. He manages the Mixed Reality Laboratory and teaches multiple courses including Mixed Reality Lab (193.169), PhD Seminar (193.083), and various Project courses in Computer Science and Visual Computing. PhD in Computer Science from TU Wien Research on High-Quality Real-Time Global Illumination in Augmented Reality His research spans photorealistic rendering, augmented and virtual reality systems, automatic 3D content generation, and embodied conversational agents. Current projects include RE:STOCK INDUSTRY (2024–2027), Circular Twin (2022–2025), and VR Tennis Trainer (2020–2022), funded by FFG and WWTF. His work integrates deep learning with real-time rendering for applications in industrial design, sports training, and accessibility solutions for deaf and hard-of-hearing users. Recent publications demonstrate strong focus on procedural building design, motion analysis, and accessibility interfaces. Key trends include embodied conversational agents with situation awareness, multi-objective optimization for industrial buildings, and haptic feedback systems. His research bridges computer graphics, human-computer interaction, and practical applications in architecture and healthcare. Peter Kán has received research funding from Austrian Research Promotion Agency (FFG) and Vienna Science and Technology Fund (WWTF) for projects including Conversational Agents (2023–2024) and Realistic Indoor Path Visualization (2016–2018). Supervised 10 theses including Tennis Motion Learning in VR (Sebernegg, 2025) and Embodied Conversational Agents (Rumpelnik, 2023) Manages Mixed Reality Laboratory focusing on photorealistic AR/VR systems Leads research teams on projects like Circular Twin and RE:STOCK INDUSTRY

• Human-Robot Interaction
• Artificial Intelligence
• Augmented Reality
• +۴ مورد دیگر

John McCormick is a Professor and Director of the Centre for Transformative Media Technologies at Swinburne University of Technology. He holds a Lecturer position in Interactive Media within the School of Social Sciences, Media, Film and Education. His research focuses on human-robot interaction, artificial intelligence, and extended realities (AR/VR/MR), with a particular emphasis on collaborative artistic environments and intelligent systems. McCormick has led over 28 grants, including ARC-funded projects exploring cobot learning frameworks and human-robot collaboration. He has collaborated globally with institutions like Ars Electronica and the Venice Biennale, producing installations such as Real Robot Dance Challenge and Aurora Australis Ultimo Choro VR . His teaching spans previsualization and mixed reality, with HDR supervision in topics like AI-generated content and ergonomics of surgical robotics. McCormick’s work bridges art and technology, emphasizing accessibility through projects like haptic interfaces for dance audiences and volumetric interaction systems. Key grants include the ARC Training Centre for Collaborative Robotics and the Holobody project advancing mixed reality technologies. McCormick’s interdisciplinary approach is evident in projects like Hyperrelia (State Library of Victoria) and Antarctic Dataspheres , integrating movement data with environmental storytelling. His research also addresses healthcare ergonomics through studies on surgeon discomfort in laparoscopic procedures, advocating for inclusive tool design.

Ben Wymoreمشاهده پروفایل

استادیار بالینی

• Machine Learning
• Speech Recognition Systems
• Embedded Systems
• +۳ مورد دیگر

Ben Wymore is a Clinical Assistant Professor of Computer Science at Yeshiva University. His professional career includes roles at Intel Corporation, where he contributed to speech recognition and natural grammars for residential productivity applications, and at Crestron Electronics, where he led software development for touchpanels and mobile applications. Wymore holds patents in speech recognition, electronic program guides, and tactile sensory surfaces. His research interests span machine learning, speech interfaces, embedded systems, and residential technologies. Education: BA in Mathematics-Computer Science Interdisciplinary and MS in Computer Science. His industry contributions include innovations in user interface design, multimodal input systems, and embedded hardware-software integration. Wymore’s work bridges academic research and practical applications in consumer technology and enterprise software solutions.

• Virtual Reality
• Mixed Reality
• Haptic Interfaces
• +۴ مورد دیگر

Filippo Gabriele Pratticò is a researcher at Politecnico di Torino , Department of Control and Computer Engineering (DAUIN). His work focuses on Virtual Reality (VR) , Mixed Reality (MR) , and Extended Reality (XR) systems, particularly in applications for rehabilitation, robotic training, and autonomous vehicle communication. Key Research Areas : VR/AR/MR systems, haptic interfaces, digital twinning, immersive training platforms. Recent Trends : Design of multimodal interfaces for AV safety, MR exergames for neurological disorders, and 6G-enabled telepresence systems. Scientific Awards : Not explicitly mentioned in available records. Advising & Collaborations : Frequently collaborates with Fabrizio Lamberti and Davide Calandra on projects involving robotic gaming , prosthetic limb simulation , and XR training systems .

Liang Heمشاهده پروفایل

دانشیار

• Soft Robotics
• Wearable Robotics
• Augmented and Virtual Reality
• +۴ مورد دیگر

Liang He is an Associate Professor of Biomedical Engineering at the University of Oxford's Department of Engineering Science and an Official Fellow at Kellogg College. His research focuses on soft robotics, wearable robotics, and embodied artificial intelligence solutions for healthcare, including biosensors, haptic and VR technologies. He leads the Healthcare Biorobotics Lab (HBL) and contributes to The Podium Institute for Sports Medicine and Technology, developing AI-driven injury prevention systems in sports. Education: PhD in Medical Robotics (Imperial College London), MSc (University of Liverpool), BSc (Shanghai Jiao Tong University). Research Interests: Soft robotics, wearable robotics, augmented/virtual reality, machine haptics, generative AI for healthcare, and embodied tactile perception. He pioneered projects like the EPSRC Motion/RoboPatient initiatives (2017–2020) for medical training simulators and the Oxford Robotics Institute's soft-sensing skin program (2021). Professional Roles: Co-chair of the MPLS Division's Research Staff Forum (2022), member of Oxford's Research Staff Consultation Group, and recipient of the MPLS Enterprise & Innovation and Ideas2Impact Fellowships. Key Achievements: Developed sensorized laryngoscope training systems, magnetorheological elastomer valves for soft robots, and origami-based orthotic designs. His work bridges robotics, AI, and clinical applications, emphasizing tactile perception and embodied intelligence.

Mayue Shiمشاهده پروفایل

پژوهشگر

• Digital Health
• Intelligent Biomedical Electronics
• Wearable Sensors
• +۳ مورد دیگر

Dr. Mayue Shi serves as a Postdoctoral Researcher at the Institute of Biomedical Engineering within the Department of Engineering Science at the University of Oxford, concurrently holding an Honorary Researcher position at Oxford John Radcliffe Hospital. His academic foundation includes a PhD in Electronic and Electrical Engineering from Imperial College London and a Master’s degree from Peking University. His research centers on digital health and intelligent biomedical electronics, with emphasis on wearable sensor development for healthcare systems, AI-driven modeling of physiological data, and clinical healthcare integration. Shi prioritizes patient-centered design to translate engineering innovations into practical medical solutions, actively bridging engineering and clinical practice to enhance healthcare accessibility and system resilience. Analysis of his recent publications reveals dominant trends in wearable sensing for dietary/obesity management (e.g., COBRA framework) and energy harvesting for self-powered biomedical devices. His work spans multimodal AI frameworks, microstructure-enhanced tactile sensors, and piezoelectric systems, demonstrating cross-disciplinary integration of machine learning, sensor engineering, and clinical validation. As a Research Member of Common Room, Shi contributes to Oxford’s biomedical engineering ecosystem, focusing on technologies that address real-world healthcare gaps through engineering-clinical collaboration.

Yongmin Zhongمشاهده پروفایل

دانشیار

• Soft Tissue Characterization
• Haptics
• Information Filtering and Fusion
• +۴ مورد دیگر

Associate Professor Yongmin Zhong is affiliated with the School of Engineering at RMIT University. His research focuses on soft tissue characterization, haptics, information filtering, and vehicle navigation. He has published extensively in international journals and serves as an editorial board member for Sensors and the International Journal of Interactive Design and Manufacturing. Dr. Zhong's work integrates advanced filtering techniques (e.g., Kalman filters) with biomechanical modeling, aiming to improve surgical simulation accuracy and navigation systems. His research has applications in teleoperated robotics, minimally invasive surgery, and hypersonic vehicle navigation. Notably, he has pioneered methodologies for real-time tissue deformation modeling using finite element methods and neural networks. Recent projects include developing adaptive filtering algorithms for system state estimation, predictive models for viral propagation, and robust navigation systems for challenging environments. His contributions bridge biomedical engineering, control systems, and robotics, with a strong emphasis on translational applications.

• Tactile Sensing
• Robotics
• Artificial Skin
• +۲ مورد دیگر

Dr. Florian Bergner is a Researcher at the Technical University of Munich's Institute for Cognitive Systems, developing large-area electronic skin technologies for robotic systems. His work integrates bio-inspired principles for tactile-driven robot control. Research focuses on: Scalable tactile sensor networks Event-driven processing architectures Somatosensory feedback systems Physical human-robot interaction Whole-body compliance control Recent advances include: Tactile-based navigation in cluttered environments Sensory substitution for medical rehabilitation Multicontact haptic interaction algorithms Efficient distributed network protocols

Tobias Höllererمشاهده پروفایل

استاد

• Visual Computing and Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Tobias Höllerer is a Professor of Computer Science at the University of California, Santa Barbara (UCSB). He leads the Imaging, Interaction, and Innovative Interfaces research group, focusing on novel user interfaces, augmented reality (AR), virtual reality (VR), and immersive visualization technologies. His work emphasizes 'Anywhere Augmentation' in AR and contributions to the Allosphere project, a three-story immersive visualization environment. Education: PhD in Computer Science, Columbia University MS in Computer Science, Columbia University Diplom (MSc equivalent), Technische Universität Berlin Research Interests: Höllerer explores AR/VR interfaces, spatial computing, human-computer interaction (HCI), and data visualization for analyzing large-scale information networks. His group develops solutions for 3D reconstruction, multimodal interaction, and applications in fields like digital fabrication, assistive technologies, and immersive storytelling. Publications Trends: Recent work spans AR navigation aids for visually impaired users, cognitive load analysis in VR, multimodal AI for spatial awareness, and creative applications like textile crafting and music instruments in AR. Scientific Awards: NSF Early Career Development Award Grants & Labs: Active in NSF-funded projects and directs the UCSB Allosphere Research Group. His lab collaborates on projects like Attention-Aware Mixed Reality Interfaces and Large-Scale Real-Time Information Visualization . Labs/Teams: Oversees the Allosphere, a unique immersive platform for data-driven exploration, and leads interdisciplinary teams advancing HCI and AR/VR technologies.

Marco Gabicciniمشاهده پروفایل

استادیار

• Robotics
• Bioengineering
• Applied Mechanics
• +۳ مورد دیگر

Marco Gabiccini is an Assistant Professor of Applied Mechanics in the Department of Mechanical, Nuclear and Production Engineering at the University of Pisa. He is affiliated with the Enrico Piaggio Research Center, a leading institution in robotics and bioengineering research. His research spans Robotics and Bioengineering . In Robotics, he focuses on embedded and networked control, hands and haptics, soft robotics for physical human-robot interaction, and underwater robotics. In Bioengineering, his work includes biofabrication, computational physiology, and biomedical instruments, with applications in tissue engineering and wearable monitoring systems. Dr. Gabiccini contributes to the Enrico Piaggio Research Center's initiatives, which encompass advanced robotic systems and bioengineering platforms such as the SUITE platform for tissue engineering and various bioreactor designs for mimicking human physiology.

Maurizio Porfiriمشاهده پروفایل

استاد

• Complex Systems
• Urban Science
• Collective Behavior
• +۴ مورد دیگر

Maurizio Porfiri is an Institute Professor at New York University Tandon School of Engineering, holding tenured appointments in Mechanical and Aerospace Engineering, Biomedical Engineering, and Civil and Urban Engineering. He also directs the Center for Urban Science and Progress (CUSP). His academic career began at Virginia Tech as a Post-Doctoral Associate (2005-2006) before joining Tandon in 2006 as an Assistant Professor. Porfiri earned dual doctorates in Theoretical and Applied Mechanics from Sapienza University of Rome and the University of Toulon (2005), alongside degrees from Virginia Tech and Sapienza’s Electrical Engineering program. Education: Laurea (B.Sc./M.Sc.) in Electrical Engineering, Sapienza University of Rome (2001) Ph.D. in Theoretical and Applied Mechanics, Sapienza University of Rome and University of Toulon (2005) M.Sc. and Ph.D. in Engineering Mechanics, Virginia Tech (2000, 2006) Research Interests: Porfiri’s work spans complex systems, urban science, robotics, and public health. His lab investigates collective behavior in biological systems, network science applications, and biomimetic robotics. Notable projects include urban scaling laws for public health trends, assistive technologies for visually impaired navigation, and ant colony energy regulation mechanisms. Publications & Recognition: With ~400 publications, his work appears in Nature , Nature Human Behaviour , and Physical Review Letters . He is an ASME and IEEE Fellow, recipient of the NSF CAREER Award, and featured in Popular Science’s “Brilliant 10” (2010). His research has been highlighted in CNN, NPR, and other media outlets. Awards & Grants: $5M NSF Convergence Accelerator grant (2023) for assistive navigation tech $3M NSF grant (2024) for ant colony energy studies National Academy of Engineering Frontiers of Engineering Symposium invitations (2011, 2014) Labs & Teams: Director of CUSP and founder of the Dynamical Systems Laboratory, Porfiri collaborates across disciplines to address urban challenges, from gun violence analytics to sustainable city design. His work bridges engineering, biology, and policy to create scalable solutions for societal issues.

Cecilia Parsbergمشاهده پروفایل

مدرس ارشد

• Visual Arts
• Art Education
• Social Justice
• +۳ مورد دیگر

Cecilia Parsberg is a Senior Lecturer in Visual Arts and Pedagogy at Karlstad University's Department of Artistic Studies, within the Faculty of Arts and Social Sciences. Her work integrates artistic practice with critical inquiry into social, political, and existential themes. She holds a PhD in Fine Arts from Umeå Academy of Fine Arts (Lund University) and has conducted postdoctoral research on wealth inequality and art's societal role, supported by institutions like the Swedish Arts Grants Committee and Kulturbryggan. Education includes a PhD (2016) on 'How do you become a successful beggar in Sweden?', a research supervision course (2020), and pedagogical training at Gothenburg and Skövde Universities. She has taught at multiple institutions, including Göteborg University and the Stockholm School of Economics, focusing on contemporary performative arts and visual pedagogy. Her research interests center on participatory performance, public art as social intervention, and the intersections of art with politics, migration, and inequality. Notable projects include A Place in Europe (2017-2021), exploring wealth disparities through public installations, and The Chorus of Begging and Giving , examining urban marginalization through film and panel discussions. She has exhibited internationally, including at Magasin III, SSE, and the Venice Biennale. Her awards include the TCO Culture Prize (2009) and grants from Wettergrenstiftelsen and the Swedish Research Council. She has served on review panels for the Swedish Research Council and evaluated academic programs at multiple universities. Her work frequently incorporates public dialogue, workshops, and collaborations with activists and politicians to challenge societal norms. Parsberg's artistic output includes films, installations, and publications, with a focus on marginalized voices and systemic inequities. She has contributed to over 30 exhibitions and conferences since 2000, blending academic research with impactful public engagement.

Karen Raffertyمشاهده پروفایل

استاد

• Virtual Reality
• Mixed Reality
• Machine Intelligence
• +۳ مورد دیگر

Professor Karen Rafferty is a prominent academic and Head of the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. She holds the rank of Professor and specializes in Virtual Reality (VR), Mixed Reality (MR), and Multi-sensory Interaction technologies, with a focus on their applications in Health & Training and Industry & Automation. Her research emphasizes disruptive technological practices, leveraging software engineering, sensor fusion, and real-time systems. Prof. Rafferty has led or contributed to numerous national and EU-funded projects, including roles as Principal Investigator (PI) and Co-Investigator (CoI) in grants such as the ARISE project on steel erection robotics and the PWC Research and Development Centre. She is actively involved with professional bodies like the IET, serving as a registration interviewer and evaluator for EU research programs (H2020, FP7, FP6). Her awards include the Best Paper Award at the 33rd International Manufacturing Conference and recognition for contributions to Digital Enterprise Technology. She teaches Engineering Entrepreneurship and VR/AR technologies, emphasizing interdisciplinary innovation. Key research themes span AI-driven systems, blockchain for sustainable decision-making, and haptic feedback integration in immersive environments. Her work often bridges academia and industry, with practical applications in manufacturing automation and healthcare training.