جست‌وجوی استاد و پژوهشگر

Dafna Naphtaliمشاهده پروفایل

استادیار مهمان

• Music Technology
• Electronic Music Composition
• Interactive Sound Design
• +۴ مورد دیگر

Dafna Naphtali is a Visiting Assistant Professor of Music Technology at the Steinhardt School of Culture, Education, and Human Development at New York University. She holds an M.M. in Music Technology and a B.Mus. in Vocal Performance from NYU. Prior to her full-time role starting Fall 2024, she served as adjunct faculty at NYU for over 25 years, specializing in teaching music technology, Max programming, electronic music performance, and soundwalking. Her artistic practice focuses on experimental, interactive electro-acoustic music , incorporating custom computer programming (Max) for live processing of acoustic instruments and voice. Notable projects include works with music robots, Disklavier pianos, and site-specific soundwalks. Collaborations include duos with artists like Luis Tabuenca, Chuck Bettis, and NYU faculty members Gordon Beeferman and Hans Tammen, culminating in her DUOS++OCTET ensemble performance at Roulette Intermedium, supported by a Guggenheim Fellowship. Awards & Fellowships: Guggenheim Fellowship (Music Composition, 2023) 3-time NY Foundation for the Arts Fellow Residencies at MacDowell, Kimmel Harding Nelson, and other institutions Grants & Projects: Guggenheim-supported work on Live Processing & Improvisation (forthcoming book, Taylor & Francis, 2026) Collaborative performances with international artists and ensembles Her research bridges technology and experimental music performance , emphasizing live processing, improvisation, and interdisciplinary sound art.

Gerardo U Lopezمشاهده پروفایل

پژوهشگر

• Environmental Microbiology
• Food Safety
• Water Safety
• +۷ مورد دیگر

Gerardo U Lopez is a Researcher at the University of Arizona, affiliated with the College of Agriculture and Life Sciences and the School of Animal and Comparative Biomedical Sciences. He has been actively involved in research and extension since 2015, focusing on environmental microbiology, food and water safety, and STEM outreach. He contributes to undergraduate and graduate research supervision and leads Cooperative Extension programs in 4-H STEM education. Ph.D. in Environmental Microbiology, University of Arizona M.Ed. in Educational Leadership, University of Arizona M.A.T. in Secondary Education, Western New Mexico University B.S. in Botany and Zoology (minor in Chemistry), Western New Mexico University Dr. Lopez’s research spans environmental microbiology, pathogen transmission dynamics, disinfection science, and microbial risk assessment in agricultural and domestic settings. His work emphasizes the transfer of pathogens via fomites, water and food safety, and the effectiveness of disinfection interventions. He also actively promotes STEM education through virtual reality, robotics, and agricultural technology outreach programs. The most recent publications highlight a strong trend in food and waterborne pathogen detection, particularly Cyclospora cayetanensis , E. coli , and norovirus, using advanced molecular and modeling techniques. His research integrates environmental engineering, public health microbiology, and educational technology, reflecting a multidisciplinary approach to solving pressing food safety and STEM engagement challenges. Extension Faculty of the Year Award CALS Cooperative Extension, Fall 2021 Faculty Fellow, Arizona Sciences, Engineering, Mathematics Scholars (ASEMS) program, Fall 2018 Certificate of Excellence, School of Animal and Comparative Biomedical Sciences, Spring 2017 School of Animal and Comparative Biomedical Sciences, Fall 2016 Dr. Lopez advises undergraduate and graduate students through directed research courses and leads federally and institutionally funded extension projects in food safety and STEM education. He collaborates with interdisciplinary teams across environmental science, public health, and educational outreach. His grants support youth engagement in agriculture and technology, including virtual farming, drone curricula, and robotics camps. Dr. Lopez is actively involved in the University of Arizona Food Safety Consortium and leads research initiatives related to pathogen detection in irrigation waters and agricultural environments. He mentors youth through 4-H STEM programs and coordinates multi-state educational projects focused on digital agriculture, robotics, and food safety awareness.

Bart Hengeveldمشاهده پروفایل

استادیار

• Internet of Things
• Human-Computer Interaction
• Sound Design
• +۳ مورد دیگر

Bart Hengeveld is an Assistant Professor at Eindhoven University of Technology's Department of Industrial Design, specializing in the 'body language' of the Internet of Things and the role of sound in computational technologies. His research focuses on how embedded systems present themselves appropriately in human environments, with particular attention to tangible user interfaces (TUIs), social interaction design, and data embodiment. Academic Background: BSc/MSc in Industrial Design Engineering from Delft University of Technology (2003), PhD at TU/e (2011) Key Roles: Member of the ACM TEI Steering Committee, Program Chair of TEI’16 in Eindhoven Teaching: Awarded two Teacher of the Year titles, oversees courses like 'The Sound of Smart Things' and 'From Idea to Design' Research Interests emphasize sound as a communication medium for ubiquitous technologies, including projects on public displays for nursing homes (R2S system), pedestrian trajectory sonification, and embodied passwords. His work bridges design, computer science, and social sciences, with over 50 publications in venues like TEI, CHI, and Creativity & Cognition. Notable Projects: LOOP (physical data artifact), Slots-Memento (intergenerational storytelling), and LinguaBytes (language learning for toddlers) Awards: Multiple teaching accolades for innovative pedagogy Current affiliations include the Future Everyday research cluster and the Making With… group, exploring speculative design and embodied interaction paradigms.

Chul Min Yeumمشاهده پروفایل

دانشیار

• Smart Infrastructure
• Computer Vision
• Mixed/Augmented Reality
• +۶ مورد دیگر

Chul Min Yeum is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. He leads the CViSS Lab, focusing on smart infrastructure through interdisciplinary research in computer vision, sensing technologies, and artificial intelligence. His work emphasizes developing technologies for structural health monitoring, nondestructive testing, and automated inspection systems. Education: PhD from Purdue University (2016), MS/BS from KAIST (2010/2008) Research interests include smart structures, mixed/augmented reality, robotics, machine learning, and big data analytics applied to civil infrastructure. His recent work explores real-time defect quantification using RGB-D datasets, gaze-based human-robot interaction systems, and machine learning for seismic vulnerability assessments. He teaches courses like AE 121, CIVE 497, and CIVE 700, focusing on computational methods and advanced structural engineering topics. Current research funding supports collaborations with government and industry partners to advance smart infrastructure solutions. Chul Min Yeum holds Sole-Supervisory Privilege Status (SSPS) and is actively mentoring graduate students in areas like computer vision for structural assessment, automated inspection systems, and resilient infrastructure design.

Parth Y Patelمشاهده پروفایل

عضو هیئت علمی

• Autonomous Vehicle Dynamics
• Terrain Mobility and Terramechanics
• Vehicle Simulation and Control
• +۳ مورد دیگر

Dr. Parth Y. Patel is an Assistant Research Professor at Worcester Polytechnic Institute (WPI) and a Research Engineer at the Autonomous Vehicle Mobility Institute (AVMI). He holds a Ph.D. in Mechanical Engineering from the University of Alabama at Birmingham (2023). His research focuses on autonomous vehicle dynamics, terrain mobility, aerodynamics, and intelligent morphing systems. Key areas include simulating off-road autonomous vehicle behavior, tire-terrain interaction modeling, and energy-efficient control strategies. Patel has authored 15 peer-reviewed publications and collaborates with institutions like Georgia Tech and Altec Inc., contributing to an NSF-funded project. His professional roles include co-organizing the ASME Advanced Vehicle Technologies conference and serving on the ASME Vehicle Design Committee. He reviews for journals such as Journal of Autonomous Vehicles and Systems and conferences like AIAA and SAE WCX. Patel’s work integrates augmented reality for real-time vehicle simulation and develops virtual demonstrators for electric vehicles. Research highlights include advancing aero-road/terrain multibody morphing dynamics, CFD modeling for external aerodynamics, and dynamic stability systems for autonomous utility trucks in severe environments. His expertise spans computational fluid dynamics, electrified vehicle systems, and immersive technologies for simulation.

• Product Design and Development
• Industrial Engineering Methods
• Augmented Reality (AR) Applications
• +۶ مورد دیگر

Loris BARBIERI is an Associate Professor at the University of Calabria's Department of Mechanical, Energy and Management Engineering. His work focuses on industrial design methodologies, augmented reality (AR) applications, and underwater cultural heritage preservation. He leads the 'Design and Methods of Industrial Engineering' research group, which develops innovative tools for sustainable product design, 3D printing, and AR/VR integration in industrial processes and cultural heritage documentation. Research interests include: User-centered design for industrial products AR/VR applications in manufacturing and heritage preservation Underwater robotics for archaeological site exploration 3D reconstruction and additive manufacturing Recent work emphasizes AR-driven inspection systems for Industry 4.0, smart marine buoys, and underwater tool development. His publications highlight interdisciplinary approaches combining mechanical engineering, computer science, and environmental science. He manages the Industrial Design laboratory, focusing on research, teaching, and applied projects. Current initiatives include eco-friendly marine monitoring systems and collaborative XR platforms for industrial maintenance.

Max Van Kleekمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Artificial Intelligence
• Privacy and Data Protection
• +۵ مورد دیگر

Max Van Kleek is an Associate Professor of Human-Computer Interaction at the University of Oxford's Department of Computer Science, with a joint appointment as Governing Body Fellow at Kellogg College. He teaches courses on Interaction Design, Secure System Design, and Data Science within the Software Engineering Programme. His research focuses on expanding individuals' capabilities to understand and control personal data, particularly in IoT environments and smart homes. Education: PhD (MIT, 2011), MEng (MIT, 2003), SB (MIT, 2001). Prior industry roles included positions at PARC, IBM Research, Nokia, Sun Microsystems, and MIT Media Lab. Research Interests: Privacy empowerment, personal autonomy, decentralized data systems, behavioral psychology, and ethical AI. Current projects include the EPSRC-funded 'Respectful Things in Private Spaces' exploring IoT privacy in domestic settings. Publications highlight work on platform hegemony, smart home accountability (Aretha, IoT Refine), and user-centric privacy tools like X-Ray Refine. Collaborates closely with experts like Sir Nigel Shadbolt and Tim Berners-Lee on social machines and Web science. Advising: Supervises PhD students across HCI, privacy, and ethics. Active in Oxford's Equality & Diversity committees and the Oxford Blockchain Society. Serves on the Departmental Ethics Committee (DREC) to ensure responsible research practices. Labs/Teams: Leads the PETRAS-funded ReTIPS project and contributes to the SOCIAM initiative. Research groups focus on privacy-by-design architectures and data sovereignty solutions.

Xia Zhouمشاهده پروفایل

دانشیار

• Mobile Computing
• Visible Light Communication
• Human Sensing
• +۳ مورد دیگر

Xia Zhou is an Associate Professor in the Department of Computer Science at Columbia University. She leads the Mobile X Lab, previously co-directed the Dartmouth Networking and Ubiquitous Systems (DartNets) Lab and the Dartmouth Reality and Robotics Lab (RLab) at Dartmouth College, and collaborated with the Augmented Health Lab. PhD in Computer Science (UC Santa Barbara, 2013) Visiting faculty at National Taiwan University (2016-2017) and University of Cambridge (2017) Her research focuses on mobile computing and light-based systems for data communication and behavioral/environmental sensing. Projects include underwater robot localization, noninvasive glucose monitoring via light polarization, and computational fabrics for motion reconstruction. Selected scientific awards include a Best Paper Award (NSDI 2020), Best Demo Award (HotMobile 2020), Best Video Award (MobiCom 2016), and multiple SIGMobile Research Highlights.

Uwe Kloosمشاهده پروفایل

استاد

• Computer Graphics
• Data Visualization
• Virtual Reality (VR)
• +۳ مورد دیگر

Prof. Uwe Kloos is a faculty member in the Department of Media Informatics at Reutlingen University, specializing in Computer Graphics and Visualization. He holds the rank of Professor and leads roles including Chair of the Examination Board for the Human-Centered Computing program and Dean of Studies for the same program. His teaching focuses on Computer Graphics, Visualization, and Data Science. Research activities center around VRlab, exploring VR/XR technologies and applications in collaborative virtual environments, digital human models, and group simulations. Kloos has a PhD in Computer Science from the University of Tübingen and prior industry experience at Hewlett-Packard and ILITS GmbH. His lab work includes projects like the Virtual Reality Gravity Offload System (ViRGOS) and interactive tools for automotive product development. He contributes to academic conferences such as Informatics Inside and publishes on visualization, VR, and AR applications. His research spans navigation systems, Formula 1 analytics, and collaborative mobile AR games. Education: PhD in Computer Science (University of Tübingen, 1994), Diplom in Biology (Universities of Saarbrücken and Tübingen, 1989). Research Labs: VRlab, AIDA AI Lab, Cloud Lab. Key Projects: IDEA creativity tool, PasVis public transport visualization, ViRGOS gravity simulation.

Nadir Weibelمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence
• Ubiquitous Computing
• +۱۳ مورد دیگر

Nadir Weibel is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UC San Diego), and serves as the Associate Faculty Director of the UCSD Design Lab. He is actively affiliated with the Contextual Robotics Institute, the Center for Wireless and Population Health Systems (CWPHS), and the Research Center on Optimal Digital Ethics (RECODE|Health). His research integrates computer science, human-centered design, and pervasive sensing to develop intelligent systems that enhance human behavior in healthcare, education, and social equity contexts. PhD in Computer Science and Engineering, ETH Zurich, Switzerland (2009) Postdoctoral Fellowship in Human-Computer Interaction, UC San Diego (2012) MS in Computer Science and Engineering, ETH Zurich, Switzerland (2004) Dr. Weibel’s research focuses on human-computer interaction, artificial intelligence, ubiquitous computing, and eXtended Reality (XR). He develops systems that leverage multimodal data—such as eye movements, speech, physiological signals, and social interactions—to improve decision-making and behavior in real-world environments. His work emphasizes ethical AI, equitable healthcare delivery, and inclusive design. The recent publications reflect a strong trend toward AI-augmented healthcare systems, particularly in stroke care (Holo-Stroke, UbiStroke), surgical telementoring (ARTEMIS), mental health (VOLI, UNDERSTAND), and bias mitigation in clinical communication (UnBIASED, ConverSense). These works employ XR, generative AI, and multimodal sensing to create immersive, adaptive, and ethical digital interventions. The interdisciplinary nature of his research spans computer science, medicine, psychology, and ethics. Dr. Weibel leads the HXI Research Lab and has contributed significantly to advancing human-centered computing. His work has practical implications for remote healthcare, medical training, and patient-provider communication. Principal Investigator, ARTEMIS: Mixed-reality surgical telementoring system Lead Developer, HoloCPR: Mixed reality interface for emergency resuscitation Director, HXI Research Lab focusing on eXtended Intelligence and human behavior Awarded NIH and VA funding for digital health and pervasive sensing research Dr. Weibel’s lab develops tools such as ChronoSense, Lab-in-a-Box, and PintAR for real-world data collection and rapid prototyping in XR. The HXI Lab fosters interdisciplinary collaboration across engineering, medicine, and ethics to build systems that are not only technologically advanced but also socially responsible and clinically impactful.

• Smart Textiles
• Wearable Sensors
• Strain Sensors
• +۷ مورد دیگر

Joris van Dam is a Researcher at Delft University of Technology, affiliated with the Faculty of Industrial Design Engineering and the Electrical Engineering, Mathematics and Computer Science faculty. He is based at the Else Kooi Laboratory (EKL), where he contributes to advanced research in smart textiles, mixed reality, and digital twins for robotics. His work is centered on the development of innovative sensing technologies and human-machine interaction systems. His research interests include Smart Textiles, Wearable Sensors, Strain Sensors, Mixed Reality, Digital Twins, Robotics, Advanced Manufacturing, Human-Computer Interaction, Soft Robotics, and Material Sensing. These areas reflect his focus on integrating flexible, textile-based sensors into interactive and robotic systems to enhance functionality and user experience. The recent publications highlight a strong trend in the development of high-performance knitted strain sensors for smart textile applications, with a focus on achieving linear and hysteresis-free responses. His earlier work on Mirrorlabs explores the use of Mixed Reality to create accessible Digital Twins of robotic production environments, indicating a multidisciplinary approach combining materials engineering, robotics, and immersive technologies. Joris van Dam is involved in key research projects such as the Center for Design for Advanced Manufacturing (CDAM), Operator of the Future, Smart Textiles Research, Augmented and Virtual Reality, MirrorLabs, and the Painting Robot project. These initiatives underscore his role in advancing next-generation manufacturing and human-centered design technologies.

Michael Pabstمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Mixed Reality
• +۱۳ مورد دیگر

Michael Pabst is a Research Associate at the Visualization Institute of the University of Stuttgart (VISUS) , affiliated with the Schmalstieg Working Group . He holds an M.Sc. in Robotics, Cognition, Intelligence from the Technical University of Munich (2019-2024) and a B.Sc. in Vehicle Engineering from the University of Stuttgart (2015-2019) . Education: M.Sc. Robotics, Cognition, Intelligence (2021-2024), Technical University of Munich B.Sc. Vehicle Engineering (2015-2019), University of Stuttgart Research Interests Michael focuses on Human-Robot Interaction using AR/VR technologies, 3D Scene Understanding , and 3D Scene Graphs . His work spans robotics perception, control systems, and spatial computing applications. He has also contributed to SLAM , environment perception , and teleoperation in autonomous systems. Publications Michael’s recent articles highlight his expertise in robotics and AI. His 2022 paper in Robotics and Autonomous Systems explores Active Visual SLAM for omnidirectional robots. Earlier works (2021 and 2020) address reinforcement learning for automated inspection and aerial human motion capture using drones. Professional Experience He has worked at industry leaders BMW Group and Porsche AG , interned at Fraunhofer IPA , and contributed to research at the Max Planck Institute for Intelligent Systems and the TUM Chair of Astronautics . His roles blend academic research with industrial applications. Labs & Teams Michael collaborates with the Schmalstieg Working Group at VISUS and has been part of teams at TUM , Fraunhofer IPA , Max Planck Institute , and Porsche AG .

Michael Jippingمشاهده پروفایل

استاد

• Assistive Technology
• Mobile Software Development
• Information Security
• +۷ مورد دیگر

Dr. Michael Jipping is a Professor of Computer Science and Department Chair at Hope College, where he has served since 1987. His expertise spans assistive technology, mobile software development, and computer security, with a focus on leveraging smartphones for accessibility. Education : Ph.D. (1986), M.S. (1984) in Computer Science from the University of Iowa; B.S. (1981) in Computer Science from Calvin College. His research emphasizes assistive technologies for low-vision users and cognitive disabilities, alongside mobile operating systems and network security. Recent publications include work on augmented reality applications and mobile education frameworks. Grants include funding for undergraduate research in biomedical applications (2009) and classroom technology innovations (1996–2003). Outside academia, he is active in community and church life, with interests in camping, photography, and science fiction.

Sandro Moosمشاهده پروفایل

استاد

• Computer-Aided Design
• Virtual Product Development
• Medical Applications
• +۶ مورد دیگر

Sandro Moos is a Full Professor at the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino , where he teaches courses in Engineering Drawing and Digital Technologies for Product Development. His research focuses on Computer-Aided Design (CAD) applications in medical fields, virtual product development, and human-machine interaction. Current roles: Full Professor (DIGEP), Director of 3D LAB research group Education: Master’s Degree in Mechanical Engineering (2000) Research Interests span digital twin technologies , human-robot interaction , 3D modeling , and medical device design . His work integrates machine learning and VR/AR systems for applications in surgery planning and industrial safety. Scientific Contributions : 2011 Premio pubblicazioni Politecnico di Torino Lead researcher in PNRR-funded projects like DAS (Design for Augmented Surgery) and SMA (Surgery Guides for Maxillofacial Applications) Co-inventor of multiple national/international patents related to surgical guides and 3D biometric technologies Academic Impact includes advising 10+ PhD students and leading Erasmus+ innovation alliances. His recent publications analyze EEG-based stress assessment in VR and 3D facial morphology prediction for surgical planning.

• Computer-Assisted Interventions
• Image-Guided Therapy
• Medical Artificial Intelligence
• +۷ مورد دیگر

Prof. Dr. Alfred Michael Franz serves as a Professor of Medical Informatics and Dean of Studies for Computer Science at Ulm University of Applied Sciences (THU). He leads research in the Intelligent Medical Systems division and maintains active collaboration with the German Cancer Research Center in Heidelberg. His academic career spans computer-assisted medical interventions, image-guided therapy, and medical artificial intelligence applications. Dr. Franz completed his PhD at the German Cancer Research Center (DKFZ) in Heidelberg in 2015 with research on "workflow-integrated electromagnetic tracking for navigated ultrasound-guided interventions." Prior to his professorship at THU, he worked as a scientist and deputy research group leader in the Department of Computer-Assisted Medical Interventions at DKFZ. Professor Franz's research focuses on developing innovative technologies for medical interventions, particularly in cancer and stroke treatment. His work bridges the gap between computer science and clinical medicine, with emphasis on: Navigated percutaneous, endoscopic, and catheter-based interventions Medical instrument tracking and localization systems Ultrasound imaging and multimodal image fusion Augmented reality applications for surgical guidance Artificial intelligence for medical image analysis and intervention support With over 50 scientific publications, Professor Franz has established himself as a significant contributor to the field of computer-assisted medical interventions. His research demonstrates consistent innovation in applying computer science to solve clinical challenges in minimally invasive procedures. Professor Franz has received recognition through various professional activities: Program Committee Member, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017 Program Committee Member, International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) 2021 Reviewer for Medical Physics Journal Reviewer for International Journal of Computer Assisted Radiology and Surgery At THU, Professor Franz actively mentors students through research projects, theses, and project work. He teaches courses including Programming, Algorithms and Data Structures, Computer Graphics, and Navigation for Medical Interventions. His research group, the "Navigation for Medical Interventions" laboratory, provides opportunities for students from various programs including Data Science in Medicine, Computer Science, Intelligent Systems, and Medical Devices. Outstanding master's graduates have opportunities for doctoral studies through university collaborations. The "Navigation for Medical Interventions" laboratory conducts cutting-edge research on medical instrument tracking, ultrasound imaging, and augmented reality for medical procedures. Current projects focus on cancer therapy (particularly ablation techniques), stroke treatment technologies, and systems for precise instrument navigation during minimally invasive procedures. The lab emphasizes open science principles, with several projects shared through platforms like the Open Science Framework.