جستجوی استاد راهنمای دانشگاهی

• Information Design
• Communication Design
• Typographic Design
• +۷ مورد دیگر

Maria dos Santos Lonsdale serves as Professor of Information and Communication Design at the University of Leeds School of Design, where she also directs PACE (Professional Academy for Creative Enterprise) and previously served as Head of School from 2020 until her current sabbatical through September 2026. With academic credentials including a PhD from the University of Reading (2006) and extensive teaching experience since 1997 across Portugal and the UK, she brings significant expertise to her roles. Her research demonstrates remarkable interdisciplinary breadth, spanning healthcare communication, cybersecurity awareness, educational technology, and sustainable fashion. Lonsdale employs rigorous user-centered methodologies including focus groups, co-design sessions, usability testing, and eye-tracking studies to validate design solutions that improve user performance and wellbeing. Her work consistently bridges theoretical research with practical applications across multiple sectors. Lonsdale holds influential editorial positions as Editor-in-Chief for Visible Language journal (starting January 2025) and former Editor-in-Chief (2020-2024) for the Information Design Journal. She actively contributes to the academic community as an Academic Advisor for Luto (a global health communications company) and as a reviewer for major publishers including Sage and Routledge. Senior Fellow of the Higher Education Academy (SFHEA) Member of the International Society of Typographic Designers (MISTD) Regular contributor to design research societies Her research output reveals consistent focus on making information accessible and usable across diverse contexts, from virtual learning environments to public health communications. Lonsdale's work demonstrates how thoughtful application of design principles can solve complex real-world problems while enhancing user experience and information comprehension.

• Occupational Health Psychology
• Organizational Psychology
• Psychosocial Risk Prevention
• +۵ مورد دیگر

Christine Jeoffrion is a Professor of Occupational Psychology at Université Grenoble Alpes, where she directs the Doctoral School of Human Sciences and leads the "Risk and Change Accompaniment" axis at the Inter-university Psychology Laboratory. With extensive international engagement through organizations like EAOHP and IAAP, her work bridges occupational health, organizational psychology, and psychosocial risk prevention. Key affiliations: Université Grenoble Alpes, Université de Tours, INRS, CNAM Leadership roles: Doctoral School Director (2024+), CNU member (2024-2028), HCERES expert (2023+) Her research focuses on workplace psychological and physical health, examining organizational factors affecting well-being through 15+ funded projects like ANR PacBot (€670k) and CDP BOOT (€850k). Current PhD students explore virtual reality interventions, prison worker coping mechanisms, and organizational transformations for meaningful work. Recent publications analyze cobot impacts on work quality, telework dynamics, and bullying consequences. She has co-edited special issues for International Journal of Environmental Research and Public Health and Psychologie du travail et des Organisations . Her 2023 Légion d'honneur recognition underscores her field leadership. As a thesis advisor, she has directed 34+ doctoral candidates across France and Gabon, including works on intercultural competence, healthcare worker stress, and managerial innovation. She contributes to European research networks through symposium organization and journal editorial boards.

• Ergonomics
• Human-Machine Systems
• Industrial Engineering
• +۴ مورد دیگر

Alexander Mertens serves as Associate Professor and Department Head of the Institute of Industrial Engineering within RWTH Aachen University's Faculty of Mechanical Engineering, concurrently leading the Ergonomics and Human-Machine Systems group. His dual doctorates (Dr.-Ing. and Dr. rer. medic.) underpin his interdisciplinary approach bridging engineering and medical sciences. His research centers on human-centered technology integration , with core interests in Ergonomics , Human-Machine Systems , and Virtual Reality applications . He investigates physiological workload monitoring, human-robot collaboration, and inclusive workplace design—particularly through AR/VR systems and sensor-based interventions for manufacturing and healthcare contexts. His work emphasizes translating biomechanical and psychosocial insights into practical solutions for worker safety and performance. Analysis of his 2024-2025 publications reveals three dominant trends: human-robot collaboration in manufacturing (evident in VR-based robot assistance studies), physiological workload assessment (using pupillometry and multimodal signals), and workplace health innovation (addressing interruptions, musculoskeletal disorders, and aging populations). These threads consistently prioritize human factors in digital transformation across automotive, healthcare, and industrial domains. Prof. Mertens directs the Ergonomics and Human-Machine Systems laboratory, driving initiatives like AixistenzRobotik (Aachen Competence Center for Interactive Robotics in Health/Care) and workHEALTH (holistic prevention of work-related musculoskeletal disorders). His team develops adaptive interfaces for inclusive factories and evaluates digital escape signage through age-differentiated studies, maintaining strong industry partnerships for real-world implementation.

Brian Schmitمشاهده پروفایل

استاد

• Spinal Cord Injury
• Neurorehabilitation
• Human Neurophysiology
• +۳ مورد دیگر

Dr. Brian Schmit is a Professor and Hammes Family Chair in the Joint Department of Biomedical Engineering at Marquette University and Medical College of Wisconsin (MCW). He serves as Associate Dean of Research for the department, Professor in the MCW Department of Physical Medicine & Rehabilitation, and Professor and Director of the MCW Clinical & Translational Science Institute. His work integrates engineering principles with clinical applications to advance neurorehabilitation. Dr. Schmit received his educational training at prestigious institutions: Ph.D. in Biomedical Engineering from Case Western Reserve University (1995) M.S. in Biomedical Engineering from Case Western Reserve University (1992) B.S. in Biomedical Engineering from Marquette University (1988) Dr. Schmit's research focuses on Spinal Cord Injury, Neurorehabilitation, Human Neurophysiology, and Biomechanics . His work explores neural control of movement, develops rehabilitation technologies, and examines biomechanical aspects of gait and balance in patients with spinal cord injury, stroke, and multiple sclerosis. He integrates advanced technologies such as virtual reality, neuroimaging, and electrophysiological techniques to develop innovative rehabilitation approaches. His laboratory environment fosters collaboration between engineers, clinicians, and scientists to translate research findings into clinical practice. Analysis of Dr. Schmit's recent publications reveals a strong emphasis on neurorehabilitation technologies , particularly virtual reality applications for hand dexterity recovery after cervical myelopathy surgery. His work prominently features balance and gait analysis in multiple sclerosis and spinal cord injury populations, with studies examining whole body angular momentum and reactive balance adaptations. Significant research efforts focus on stroke rehabilitation , investigating cortical activity during finger movements and muscle oxygenation in chronic stroke survivors. His scholarly output demonstrates a consistent trajectory toward developing evidence-based, technology-enhanced rehabilitation protocols with strong clinical translation potential. Dr. Schmit has secured substantial research funding: National Institutes of Health grant as Principal Investigator for "High-Intensity, dynamic-stability gait training in people with multiple sclerosis" (September 2022–June 2027) Advancing a Healthier Wisconsin Endowment grant as Principal Investigator for "Virtual reality training paradigm to rehabilitate hand dexterity in degenerative cervical myelopathy" (July 1, 2022–June 30, 2024) National Institutes of Health grant as Co-PI for "High-density surface EMG based CMAP scan for motor unit number estimation" (July 1, 2021—September 30, 2022) National Institutes of Health grant as Co-Investigator for "Locomotion Recovery and Compensation Post-Stroke" (June 2021–May 2026) Dr. Schmit directs the Integrative Neural Engineering & Rehabilitation Laboratory (INERL) , which focuses on understanding neural control of movement and developing engineering solutions for neurorehabilitation. He also serves as Co-Director of the Falk Center for Neurorehabilitation Engineering Research , where interdisciplinary teams work to advance rehabilitation technologies and protocols. His leadership extends to teaching courses such as BIEN 3300 Signals & Systems for Biomedical Engineering, BIEN 6610 Rehabilitative Biosystems, and BIEN 6931 Topics in Biomedical Engineering.

• Biometrics
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Raghavendra Ramachandra is a Professor at the Department of Information Security and Communication Technology (IIK) , within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. His research focuses on biometric systems, particularly in face, fingerprint, and finger vein recognition, with emphasis on presentation attack detection, morphing attack detection, and deep learning applications. Current research projects include: SALT (2022-2026) : Developing privacy-preserving facial biometric authentication systems. OffPAD (2022-2025) : Creating cryptographic tools and presentation attack detection for fingerprint biometrics. SWAN (2015-2020) : Developing biometric countermeasures against presentation attacks. His recent publications demonstrate technical expertise in: Face morphing attack detection using vision transformers and point cloud networks Image fusion techniques for multispectral biometrics GAN-based synthetic data generation for security evaluation Explainable AI approaches for biometric verification Professor Ramachandra also supervises PhD and Master’s students, and has extensive experience in leading national and EU research initiatives.

XU Jingjun Davidمشاهده پروفایل

استاد

• Human-computer interaction
• Artificial Intelligence
• Recommendation systems
• +۵ مورد دیگر

Professor David Xu is a distinguished faculty member in the Department of Information Systems at City University of Hong Kong, where he has served as Professor since 2023 after progressing from Associate Professor (2017-2023). Prior to joining CityU, he held academic positions at Wichita State University from 2011-2017, culminating in the Bomhoff Endowed Professor of Business title in 2017. His educational background includes a PhD in Management Information Systems from the University of British Columbia (2011), an MPhil in Information Systems from City University of Hong Kong, and a First-class honors BBA in Business Administration from Lingnan University. As Programme Leader for both BBA Information Management and Bachelor's Degree in Information Systems programs since 2018, he plays a significant administrative role in curriculum development. Professor Xu's research spans human-computer interaction, artificial intelligence applications, and technology adoption across diverse domains. With over 90 publications including 40+ journal papers in top-tier venues like MIS Quarterly and Information Systems Research, his work demonstrates exceptional scholarly impact. His Google Scholar metrics (3,300+ citations, h-index of 22) reflect substantial influence in the field. His recent publications reveal a strategic focus on AI ethics, information cocoon mitigation in social media, healthcare applications of AI, and digital transformation effects on business. The work spans theoretical contributions and practical implementations, with increasing emphasis on societal impacts of technology. AIS Early Career Award (2018) AIS Distinguished Member – Cum Laude (2020) Multiple teaching excellence awards (2021, 2024, 2025) ICIS and ISR Best Associate Editor Awards (2020-2021) Numerous paper award nominations across major conferences Professor Xu has secured significant research funding including NSFC, RGC GRF, and CityU Strategic Research Grants totaling millions in funding. His current projects address critical issues like AI beauty filters, depression treatment systems, and information cocoon mitigation. As Senior Editor for Information Systems Journal and Associate Editor for Information Systems Research, he shapes the field's scholarly discourse while supervising DBA and PhD students across multiple programs.

Anthony Clarkمشاهده پروفایل

استادیار

• Autonomous Robotics
• Evolutionary Robotics
• Computer Vision
• +۷ مورد دیگر

Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.

Kangsoo Kimمشاهده پروفایل

استادیار

• Human-Computer Interaction
• eXtended Reality (XR)
• Virtual Reality (VR)
• +۱۳ مورد دیگر

Kangsoo Kim is an Assistant Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, where he leads the Human-X Interaction (HXI) Lab. He holds a Ph.D. in Computer Science from the University of Central Florida and previously served as a postdoctoral researcher at the University of Delaware and the Synthetic Reality Lab at UCF, with an additional appointment in the College of Nursing. Education: Ph.D. in Computer Science, University of Central Florida, 2018 M.S. in Electronics and Computer Engineering, Hanyang University, 2011 B.S. in Electronics and Computer Engineering (Cum Laude), Hanyang University, 2009 Dr. Kim's research focuses on Human-Computer Interaction, particularly in immersive eXtended Reality (XR), including Virtual, Augmented, and Mixed Reality. His work explores virtual avatars, social interaction in XR, perception and cognition, and the integration of XR with IoT and digital twins. He investigates how embodied virtual humans influence social presence, trust, and user behavior in educational, healthcare, and industrial settings. His recent publications span top-tier venues such as IEEE TVCG, ISMAR, and IEEE VR, with themes centered on virtual agents, empathy in XR, avatar embodiment, and industrial applications of XR and digital twins. Trends include the use of AI-powered avatars, physiological feedback integration, and XR for public education and infrastructure safety. Scientific Awards: AKCSE Early Achievement Award (2023) Innovation Award at TechConnect World (2021) ACM SUI Best Paper Award (2019) ICAT-EGVE Best Demo Audience Choice Award (2020) ACM VRST Best Student Paper Award (2017) Dr. Kim actively mentors students and has advised numerous graduate researchers in areas including virtual pets, avatar behavior, XR for health, and industrial applications. He has secured research funding through competitive fellowships and grants, including UCF Graduate Fellowships and IEEE VR Doctoral Consortium support. He has also contributed to patents in AR magnification and serves as an Associate Editor for Presence: Virtual and Augmented Reality. He leads the HXI Lab, which conducts interdisciplinary research bridging computer science, psychology, and engineering to advance XR technologies for real-world impact in education, healthcare, and industry.

Steve Oneyمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +۵ مورد دیگر

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.

Tim Schwartzمشاهده پروفایل

استاد پژوهش

• Human-Robot Interaction
• Multi-modal Interaction
• Industry 4.0
• +۳ مورد دیگر

Dr. Tim Schwartz is an Associated Member at the German Research Center for Artificial Intelligence (DFKI) located at the Saarland Informatics Campus in Saarbrücken, Germany. He is affiliated with the Ubiquitous Media Technology Lab (UMTL) where he conducts research at the intersection of human-robot interaction, multimodal interfaces, and industrial applications. His work spans over two decades with significant contributions to the fields of robotics, augmented reality, and Industry 4.0 implementations. Dr. Schwartz's research interests focus primarily on Human-Robot Interaction , Multi-modal Interaction , and Industry 4.0 applications. His work explores how humans and robots can effectively collaborate in industrial settings, with particular attention to communication modalities, task division, and intuitive interfaces. Recent projects include human-robot collaboration in assembly cells, social cognitive robots for warehouse environments, and augmented reality applications for aircraft manufacturing. Analysis of his publication history reveals a clear trajectory from foundational work in multimodal interfaces and context-aware computing (2005-2015) toward increasingly applied research in industrial robotics and human-robot collaboration (2016-2024). His most recent publications demonstrate a strong emphasis on practical implementations in manufacturing and warehouse environments, with a particular focus on optimizing work dynamics between humans and robots. Dr. Schwartz actively engages in academic supervision, offering thesis opportunities such as the user-study on optimal work dynamics in human-robot collaboration at the Power4Production Hall in Saarbrücken. His collaborations extend to institutions including ZeMA (Zentrum für Mechatronik und Automatisierungstechnik gGmbH), indicating strong industry-academia partnerships. At DFKI, he works within a vibrant research community that includes numerous colleagues in the Ubiquitous Media Technology Lab, contributing to a collaborative environment focused on cutting-edge research in human-robot interaction, multimodal systems, and industrial applications of artificial intelligence.

Scott Palmerمشاهده پروفایل

استاد

• scenography
• performance design
• light design for audience experience
• +۶ مورد دیگر

Professor Scott Palmer is a distinguished academic at the University of Leeds, serving as Professor of Light and Performance within the School of Performance and Cultural Industries (Faculty of Arts, Humanities and Cultures). With over 30 years of teaching and management experience in Higher Education, he was a founder member of the School in 2001 and has held numerous senior management roles including Interim Head of School, Director of Student Education (2019-2022), Director of Enterprise and Knowledge Transfer, and Programme Manager for BA (Hons) Performance Design for over a decade. In 2017-18, he was appointed to an Excellence and Innovation Fellowship at the Leeds Institute for Teaching Excellence & Innovation. PhD (Leeds) - Light, Scenography and the Choreography of Space Cert. Education (Manchester) BA Hons. Drama (Wales) Professor Palmer is a leading international advocate for scenography as an intellectual discipline. His research focuses on light, darkness and atmosphere in performance, designing for audience experience, and since 2017, the field of XR (Extended Reality). His influential monograph Light: Readings in Theatre Practice (Palgrave Macmillan, 2013) significantly contributed to establishing scenography as a scholarly field, exploring how light has influenced staging practices throughout history. He has co-edited major works including Scenography Expanded (Bloomsbury 2017) and the groundbreaking Contemporary Performance Lighting (2023), the first critical anthology focused specifically on performance lighting. His recent publications reveal evolving research trends from historical analyses of light in theatre to contemporary explorations of XR, immersive environments, and audience experience. Keywords across his work consistently emphasize scenography, audience experience, light design, and the integration of digital technologies in performance. His sub-field specializations span historical lighting techniques, immersive theatre practices, site-specific performance, 360-degree environments, and the theoretical frameworks connecting technological innovation with theatrical expression. Excellence and Innovation Fellowship at the Leeds Institute for Teaching Excellence & Innovation (2017-18) Research impact highlighted by AHRC as an exemplar case study Contributions to BBC Radio 3's Illuminating the Stage (broadcast December 25, 2017) Professor Palmer has supervised numerous PhD candidates and led collaborative student projects resulting in public performances including Pandora's Box (2009), Dream/Play (2010), Just Before Dawn (2011), Into the Dark (2012), Blood Wedding (2013), The Dreaming (2015), The Waiting Room (2017), and Within This House (2018). His research has been supported by significant grants including the AHRC-funded Projecting Performance (2006-08), UKRI-funded Surround Stories (XR Stories), and AHRC-funded Bridging the Gaps exploring Mixed Reality Performance of Chinese Opera. He plays an active role in international scholarly communities as co-convenor of the IFTR Scenography Working Group (2013-16), inaugural member of the TaPRA Scenography Working Group, and contributor to OISTAT Education and History and Theory Commissions. Professor Palmer is a member of the PLACE, Practice as Research, and Participation Research Groups at Leeds, and was co-instigator of the Leeds-based Performing Light Network. His SignalSpace web resource, developed with colleague Maria Kapsali, explores digital creativity and mobile phone applications in performance contexts. He regularly presents research outcomes at international conferences including IFTR, TaPRA, ICIDS, and ZipScene, demonstrating his commitment to advancing both theoretical understanding and practical applications of performance design.

W Robert J Funnellمشاهده پروفایل

دانشیار

• Middle-ear mechanics
• Biomedical Modelling
• Finite Element Modeling
• +۶ مورد دیگر

W Robert J Funnell serves as Associate Professor at McGill University with dual appointments in the Department of Biomedical Engineering and Department of Otolaryngology – Head and Neck Surgery. His research addresses critical clinical challenges in hearing loss through integrated experimental and computational methodologies, focusing on translational applications for infant diagnostics and surgical interventions. His expertise spans middle-ear mechanics, three-dimensional modeling of biological structures, and development of interactive medical education tools. Core methodologies include finite-element analysis, laser Doppler vibrometry, and haptic-enabled virtual reality systems. Current priorities involve improving newborn hearing screening accuracy, designing middle-ear repair techniques, and creating 3D anatomical models for surgical training – particularly in endoscopy simulation using force feedback technology. Analysis of his 2015-2024 publications reveals persistent innovation in finite-element modeling of auditory systems, with increasing emphasis on newborn ear mechanics and optical coherence tomography applications. His work bridges biomedical engineering, otolaryngology, and medical education, demonstrating consistent progression from fundamental biomechanics toward clinical implementation – notably in Quebec's newborn hearing screening programs and endoscopic sinus surgery training models.

Fariba Mostajeranمشاهده پروفایل

پژوهشگر

• Medical Mixed Reality
• Digital Health
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Fariba Mostajeran is a Researcher at the Human-Computer Interaction research group within the Department of Informatics at the University of Hamburg. Her interdisciplinary work bridges computer science, psychology, and environmental science to investigate the psycho- and physiological effects of immersive media on users across different age groups, with particular focus on therapeutic applications of virtual and augmented realities. Her educational background includes: B.Sc. in Computer Engineering-Software from the University of Isfahan (Iran) M.Sc. in Digital Media from the Universität Bremen Ph.D. in Human-Computer Interaction at the Universität Hamburg Dr. Mostajeran's research centers on Medical Mixed Reality , Digital Health , and Human-Computer Interaction , with emphasis on how virtual environments can enhance cognitive performance, psychological well-being, and therapeutic outcomes. She systematically investigates the impact of virtual nature exposure on memory, attention, and mood, developing applications for mental health treatment, rehabilitation, and workplace design. Her methodological approach combines controlled experiments with user-centered design to create effective immersive interventions. Analysis of her recent publications reveals three major research thrusts: (1) the therapeutic applications of virtual nature for mental health and cognitive enhancement, (2) the development and evaluation of intelligent virtual agents for healthcare applications, and (3) understanding the cognitive and physiological mechanisms underlying user responses to immersive environments. Her work increasingly focuses on multimodal interaction with virtual agents and their implementation in clinical settings. Her scholarly contributions have been recognized through: Ideas and Venture Fund (IVF), Universität Hamburg, 2024-2025 EXIST-Gründerstipendium (EXIST Founder Scholarship), 2014-2015 Deutschlandstipendium (German Scholarship), 2012-2013 Dr. Mostajeran has supervised over 30 master's and bachelor's theses focusing on virtual reality applications across diverse domains including mental health interventions, cognitive training, and therapeutic environments. Her research has received support from university innovation funds and national scholarship programs. She serves on multiple academic committees including professorship selection committees and examination boards, contributing significantly to institutional governance. Her active participation in major conferences as program committee member and reviewer demonstrates her standing in the HCI and VR research communities. She works within the Human-Computer Interaction research group at the University of Hamburg led by Prof. Dr. Steinicke, which maintains strong connections with clinical partners and industry collaborators to translate research findings into practical healthcare applications. The group's facilities include state-of-the-art VR laboratories equipped for comprehensive user studies measuring both behavioral and physiological responses.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +۳ مورد دیگر

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

Peter Kazanzidesمشاهده پروفایل

استاد پژوهش

• Robotics
• Medical Robotics
• Augmented Reality
• +۴ مورد دیگر

Peter Kazanzides is a Research Professor in the Department of Computer Science at the Whiting School of Engineering, Johns Hopkins University, where he joined the faculty in 2002. His research focuses on robotics, medical robotics, augmented reality, and computer-assisted interventions with primary applications in computer-integrated surgery. His educational background includes multiple degrees from Brown University: ScB (1983) in Electrical Engineering AB (1983) in Computer Science ScM (1985) in Electrical Engineering ScM (1987) in Applied Mathematics PhD (1988) in Electrical Engineering Kazanzides is a member of the Robotics, Vision, and Graphics research group and directs the Sensing, Manipulation, and Real-Time Systems (SMARTS) laboratory. His work spans surgical robotics, mixed reality, and systems engineering, with emphasis on computer-assisted surgery in extreme environments including minimally invasive surgery, microsurgery, and space teleoperation. The SMARTS lab develops real-time sensing systems, augmented/mixed reality interfaces using head-mounted displays, high-performance motor control, and sensor fusion technologies, with strong focus on system integration and open-source platforms like the da Vinci Research Kit (dVRK). Analysis of his recent publications (2024-2025) reveals dominant trends in surgical robotics autonomy, augmented reality navigation, force estimation, and digital twin technologies. Key themes include AI-driven task automation, haptic feedback enhancement, real-time instrument segmentation, and simulation environments for surgical training, primarily leveraging the da Vinci Research Kit framework. As director of the SMARTS lab within the Laboratory for Computational Sensing and Robotics (LCSR), Kazanzides leads a collaborative ecosystem including the Computer Integrated Interventional Systems (CIIS) Lab, Advanced Medical Instrumentation and Robotics (AMIRO) Lab, Dynamical Systems and Controls Lab (DSCL), Computer Aided Medical Procedures (CAMP) Lab, Medical UltraSound Imaging & Intervention Collaboration (MUSiiC) Lab, and Photoacoustic & ULtrasonic Systems Engineering (PULSE) Lab. His lab maintains responsibility for the development and support of the open-source da Vinci Research Kit, a critical resource for surgical robotics research worldwide.