جست‌وجوی استاد و پژوهشگر

• Virtual Reality
• Augmented Reality
• Computer Vision
• +۴ مورد دیگر

Prof. Dr. Didier Stricker is a leading academic in computer science, serving as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) and Professor at the University of Kaiserslautern-Landau (RPTU). His career spans over two decades, including leadership roles at Fraunhofer IGD and founding the Augmented Vision research unit at DFKI/RPTU, which now includes ~30 researchers. Education: Electrical Engineering (Technical University of Grenoble, Karlsruhe) PhD: Computer Vision-based Calibration and Tracking Methods for Augmented Reality (2002, TU Darmstadt) His research focuses on virtual and augmented reality , computer vision , human-computer interaction , and on-body sensor networks . He leads major EU/national projects like LUMINOUS (Language-Augmented XR) and SHARESPACE (Ethical Hybrid Shared Spaces), with industrial partnerships including Sony, Google, and John Deere. Recent publications emphasize 3D reconstruction , neural network optimization , and XR systems . Key trends include event camera processing , scene flow estimation , and multimodal AI for industrial applications . He holds patents in AR tracking and has received the 2006 Innovation Prize from the German Society of Computer Science. Scientific Awards : Innovation Prize (2006) Best Paper/Demonstration Awards at ISMAR, EUSIPCO, CVPR, and ICRA As a reviewer for journals and conferences in VR/AR and computer vision, he contributes to shaping research standards. His lab ( AG Augmented Vision ) combines academic and industrial collaborations to advance cognitive interfaces and extended reality systems.

• Machine Learning
• Computer Vision
• 3D Geometry
• +۲ مورد دیگر

Dr. Jun Li is a Senior Lecturer at the School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Australia. He received his Ph.D. in Computer Science from Queen Mary University of London in 2009 and is affiliated with the Australian Artificial Intelligence Institute (AAII) at UTS. His research spans multiple domains within artificial intelligence, with primary focus on Machine Learning applications in computer vision and 3D geometry. Dr. Li has published extensively in high-impact journals including IEEE Transactions (TPAMI, TIP, TNNSLS) and Pattern Recognition, with recent work expanding into interdisciplinary research in earth science and marine applications. His research output demonstrates consistent productivity with numerous publications each year across diverse AI application areas. Dr. Li's work shows strong thematic progression from foundational computer vision techniques to applied interdisciplinary research. Early work focused on face hallucination and video super-resolution, while more recent publications address environmental applications using Graph Neural Networks for wave prediction and damage classification for disaster response. His research consistently bridges theoretical AI advances with practical real-world applications across healthcare, autonomous systems, and environmental science. AI to assist disaster emergency response (2023-2026) Applying Generative Adversarial Network in Medical Image Analysis (2020-2021) Big Massive Open Online Course (MOOC) Data Retrieval (2017-2020) As an educator, Dr. Li teaches core courses including '31005 Machine Learning' and '32513 Advanced Data Analytics Algorithms' at UTS, and is available for Masters Research and PhD student supervision, contributing to the development of next-generation AI researchers.

• Computer Vision
• Machine Learning
• Human Attention Modeling
• +۲ مورد دیگر

Minh Hoai Nguyen is a Professor at the School of Computer and Mathematical Sciences and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Previously, he was a tenured Associate Professor at Stony Brook University (2014-2024) and worked at VinAI Research in Vietnam. He holds a Bachelor of Software Engineering from the University of New South Wales (2006) and a PhD in Robotics from Carnegie Mellon University (2012). His research focuses on computer vision and machine learning, with specialization in human attention modeling, gaze prediction, action recognition, and object counting. Recent work explores applications in educational technology, driver monitoring, and multimodal interaction systems using advanced deep learning approaches. Publication analysis reveals strong emphasis on attention mechanisms across domains, with recent works exploring: (1) Gaze and scanpath prediction using transformer architectures, (2) Few-shot learning for action counting and personalized modeling, (3) Multimodal analysis of cognitive states, and (4) Efficient scene-adaptive vision systems. His research consistently bridges theoretical machine learning with practical applications in human behavior analysis. Scientific Awards: Best Student Paper Award at IEEE CVPR (2012)

• Computer Science
• Machine Learning
• Computer Graphics
• +۵ مورد دیگر

Arjun Majumdar is a Researcher in the Department of Computer Science at the University of Tübingen , Germany. He is affiliated with the Tuebingen AI Research building and contributes to cutting-edge research in computer graphics and machine learning. Research Interests Novel View Synthesis for 3D computer graphics Neural Network Pruning and Compression for efficient AI models Generative Probabilistic Modelling and Representation Learning Earthquake Investigation using Visual Cognizance of Multivariate Temporal Data techniques Publications Collaborated on research about earthquake analysis and temporal data visualization using machine learning frameworks.

• Computer Vision
• Computer Graphics
• Machine Learning
• +۳ مورد دیگر

Pratul Srinivasan is a Research Scientist at Google Research, focusing on problems at the intersection of computer vision, computer graphics, and machine learning. He earned a BSE in Biomedical Engineering and a BA in Computer Science from Duke University, followed by a PhD in Computer Science from the University of California, Berkeley. Education: BSE in Biomedical Engineering and BA in Computer Science from Duke University PhD in Computer Science from UC Berkeley Research Interests: Scene representations for view synthesis Deep learning applications in computer vision and graphics Neural Radiance Fields (NeRF) Scientific Awards: 2021 ACM Doctoral Dissertation Award Honorable Mention for co-inventing Neural Radiance Fields (NeRF) with Benjamin Mildenhall His work on NeRF has significantly advanced the field of view synthesis, enabling high-quality novel view generation from sparse 2D images. At Google Research, he continues to explore interdisciplinary challenges combining vision, graphics, and machine learning.

• Social care
• Disability research
• Mental health
• +۷ مورد دیگر

Dr. Richard Brunner is a part-time Research Fellow working across two Scottish institutions: at IMPACT in the Faculty of Social Sciences at the University of Stirling, and at the Centre for Disability Research at the University of Glasgow. His work bridges academic research and practical implementation in social care, with a strong focus on disability rights and social justice. Dr. Brunner's research interests center on social care, disability studies, mental health, and qualitative methodologies. He employs action research approaches and the capabilities approach to understand the experiences of marginalized groups, particularly disabled people. His work with Glasgow Disability Alliance on 'Future Visions for Social Care' seeks to remove barriers to participation, reduce poverty, transform social care outcomes, and address mental distress in Scotland. His recent publications demonstrate a consistent focus on social care reform, disability rights, and co-production methodologies. Analysis of his work shows increasing emphasis on reframing public perceptions of social care, with several 2023-2025 publications examining how to shift narratives from viewing social care as a burden to recognizing it as an investment in human rights. His research spans theoretical contributions (like applying the capabilities approach to public services) and practical implementation (such as community navigator projects). Extensive experience conducting research with marginalized groups Specializes in collaborative action research with public services Focuses on Scotland's social care system and policy context Works directly with disabled people's organizations as a research partner Dr. Brunner has developed strong relationships with social care stakeholders across Scotland and collaborates extensively with third sector organizations. His advisory approach emphasizes empowering marginalized communities and translating research into practical improvements in social care delivery. His work combines academic rigor with practical implementation, making him a valuable bridge between research and practice in the social care field. His research lab, 'Future Visions for Social Care,' operates as a collaborative partnership between the Centre for Disability Research and Glasgow Disability Alliance, creating a unique space where academic research directly informs and is informed by the lived experience of disabled people.

• Computer Vision
• Robotics
• Medical Robotics
• +۶ مورد دیگر

Takeo Kanade is the U.A. and Helen Whitaker University Professor of Robotics and Computer Science at Carnegie Mellon University (CMU). He serves as director of the Quality of Life Technology Engineering Research Center and previously led the Robotics Institute (1992-2001). His work spans computer vision, robotics, and multimedia technology, emphasizing mathematical modeling of vision processes and system development. Education: Doctoral degree in Electrical Engineering from Kyoto University (1974) Kanade's research focuses on foundational computer vision (factorization methods, multi-baseline stereo, facial recognition), virtualized reality systems for immersive media applications, and robotics innovations in medical surgery (HipNav) and autonomous helicopters. He pioneered computational sensors integrating VLSI technology. Recent publications emphasize 3D vision, pose estimation, and real-time facial alignment, reflecting his work in social motion capture and scene-specific object recognition. His projects include Informedia (NSF/ARPA/NASA-funded digital video libraries) and EyeVision for immersive sports broadcasting. Scientific Awards: Kyoto Prize (2016), Benjamin Franklin Medal, Bower Prize, IEEE Pioneer Award, ACM/AAAI Allen Newell Award, Joseph Engelberger Award He advises past PhD and Master's students like Omead Amidi, Vladimir Brajovic, and Richard LaBarca. He founded the Digital Human Research Center and leads the Human Sensing Lab at CMU.

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Dr. Lode Jorissen is a Postdoctoral Assistant at Hasselt University's Faculty of Sciences, where he is affiliated with the Capacity group Computer Sciences within the Expertisecentrum voor Digitale Media (EDM) on Campus Diepenbeek. He maintains dual laboratory affiliations with both the Applied Computer Science Lab and the Digital Future Lab. His research spans multiple specialized areas of visual computing: Computer Graphics and Visual Computing Virtual Reality and Augmented Reality systems Image Processing and Computer Vision Novel-view synthesis techniques Projection-based augmented reality View-dependent lighting effects in XR 3D Modeling and Image-Based Rendering Dr. Jorissen manages an extensive research portfolio comprising 14 active projects with timelines extending from 2013 through 2029. Current major initiatives focus on AI-generated video detection, projection-based AR enhancement, and advanced lighting effects in XR environments, with practical applications across industrial manufacturing, construction, and immersive media production sectors. His funded research projects include: Training-free and model-agnostic approaches for generalizable and explainable AI-generated video detection (2025-2029) Enhancing Projection-based Augmented Reality (2025-2029) ALARMM_SBO: Accurate large-area Localization and spatial Alignment with Robust Markerless Methods (2025-2029) Expanding Capabilities of View-Dependent Lighting Effects in XR (2023-2027) DIGIBUILD: Digital Support for Construction Industrialization through Off-site Production (2024-2026) Dr. Jorissen currently supervises three PhD students as copromotor while teaching multiple advanced courses in image processing, computer graphics, and visual computing for both the 2024-2025 and 2025-2026 academic years. His laboratory work at the Applied Computer Science Lab focuses on developing practical visual computing solutions that bridge theoretical computer vision techniques with real-world industrial applications, particularly in manufacturing and construction environments.

Hannah Snyderمشاهده پروفایل

دانشیار

• Service Marketing
• Review Methodology
• Service Innovation
• +۴ مورد دیگر

Hannah Snyder is an Associate Professor at the Department of Marketing, BI Norwegian School of Business. She holds a PhD from Linköping University (2016) and has held academic positions internationally, including at University of Queensland and Karlstad University. Her professional affiliations include: Associate Professor at BI Norwegian School of Business (2020-Present) Researcher at Karlstad University (2020-2022) Assistant Professor at BI Norwegian Business School (2016-2020) Lecturer at University of Queensland (2016-2017) Her research focuses on service marketing with specialization in review methodology, service innovation, customer creativity, and co-creation. She investigates emerging areas including consumer deception in service encounters, sustainable business models, and AI's role in service ecosystems. Her work combines theoretical rigor with practical insights for service organizations. Analyses of her recent publications (2019-2025) reveal strong emphasis on service innovation frameworks, methodological advancements in literature reviews, consumer behavior psychology, and sustainable service design. Key thematic evolutions include increased focus on AI ethics in service contexts and critical examinations of innovation sustainability. She maintains active knowledge translation through practitioner-oriented publications and lectures addressing consumer lying behavior and business model innovation. No information about laboratory leadership, student advising, or scientific awards is available in the provided materials.

Robert Kelley Bradleyمشاهده پروفایل

استادیار

• Nanomaterials
• Polymer Engineering
• Materials Science
• +۳ مورد دیگر

Dr. Robert Kelley Bradley serves as Assistant Professor in the Department of Industrial and Systems Engineering at Lamar University, with additional experience as a Visiting Faculty Member at Oak Ridge National Laboratory (ORNL) through the DOE Visiting Faculty Program in 2021. His educational background includes a Ph.D. in Physical Chemistry from Rice University (2000), where he completed his thesis "Large Scale Production of Single Wall Carbon Nanotubes" under Nobel laureate Prof. Richard Smalley, and a B.A. in Biochemistry from Beloit College (1996). Dr. Bradley's research program centers on Nanomaterials and Entrepreneurship, with significant projects in thermoplastic creep behavior, drug delivery microstructures, silicone ferroelectrets, and single-wall carbon nanotube production. His work integrates materials science with industrial engineering to solve practical problems in corrosion prevention, extreme-environment applications, and manufacturing processes. Recent publications demonstrate strong activity in polymer engineering and nanomaterial characterization. His publication record shows consistent output since 1998, with recent emphasis (2021-2025) on thermoplastic composites, creep modeling, and nanomaterial applications. The research spans Materials Science, Polymer Engineering, and Nanotechnology, with practical focus on industrial implementation and educational innovation. Dr. Bradley actively mentors undergraduate researchers through Lamar University's SURF program and has secured substantial research funding: CMMS Research Grant Competition (2023): $99,572 for thermoplastic composite pipe support pads TARC Research Pitch (2023): $10,000 for multi-medium robots with smart skin CICE Grant (2021): $4,000 for single-wall carbon nanotube research Multiple SURF awards ($1,000 each) from 2020-2025 for undergraduate projects His collaborative projects involve Prairie View A&M, West Texas A&M, and Texas A&M universities, focusing on interdisciplinary applications including space technologies and environmental materials. Dr. Bradley also contributes to engineering education through online degree programs and hands-on manufacturing curriculum development.

Nancy S Jeckerمشاهده پروفایل

استاد

• Bioethics
• African Ethics
• Personhood Studies
• +۷ مورد دیگر

Dr. Nancy S. Jecker is a distinguished Professor of Bioethics and Humanities at the University of Washington School of Medicine with significant interdisciplinary appointments as Adjunct Professor at the University of Washington School of Law, Department of Global Health, and Department of Philosophy. She maintains an active global presence through Visiting Professorships at the University of Johannesburg and the Chinese University of Hong Kong, and currently serves as President of the International Association of Bioethics (2022-2024), having joined its Board of Directors in 2019. Dr. Jecker's research program centers on bridging philosophical traditions to address pressing bioethical challenges: African approaches to ethics, particularly Ubuntu philosophy ('I am because we are') Global health justice and equitable resource allocation during pandemics Relational theories of personhood across contexts (aging, AI, cross-cultural) Ethics of aging and challenging midlife bias in healthcare AI and robotics ethics with a focus on moral standing and relationships Cross-cultural bioethics comparing Eastern and Western ethical frameworks With 294 publications and over 5,270 citations, Dr. Jecker demonstrates exceptional scholarly productivity. Her recent work (2024-2025) shows continued leadership in applying African philosophical insights to contemporary issues including personhood in social robots, climate justice, and religious diversity in global bioethics. She frequently collaborates with international scholars, reflecting her commitment to genuinely global bioethics that moves beyond Western-centric perspectives. Her significant contributions include: Authorship of the influential book What Is a Person?: Untapped Insights from Africa (2024) Pioneering work on relational approaches to robot personhood Leadership in advocating for vaccine equity during the COVID-19 pandemic Development of the concept of 'midlife bias' in bioethics Election as President of the International Association of Bioethics Dr. Jecker's work consistently addresses practical ethical challenges while engaging deeply with philosophical foundations. Her research on topics ranging from digital companions for older adults to climate change ethics demonstrates her ability to connect theoretical insights with real-world applications, making significant contributions to both academic discourse and practical bioethical decision-making.

• Medical Robotics
• Artificial Intelligence
• Radiosurgery
• +۳ مورد دیگر

Prof. Achim Schweikard is a Full Professor at the University of Lübeck's Institute for Robotics and Cognitive Systems, where he has led pioneering research since 2002. His academic journey spans Stanford University's neurosurgery and computer science departments and Technical University of Munich, establishing him as a leading figure in medical technology translation. His research focuses on Medical Robotics and Artificial Intelligence with transformative clinical applications. Key achievements include inventing correlation-based tracking for cancer radiosurgery (now global standard of care) and developing stereotactic arrhythmia radioablation (STAR) protocols. Current projects address critical challenges in cardiac radioablation through the RAVENTA multicenter trial, MATRIX-VT imaging fusion study, and SonoBox robotic ultrasound system for pediatric diagnostics. His publication record shows sustained high impact with 15+ articles in 2023-2025 in top journals including Radiotherapy and Oncology and Heart Rhythm. These works demonstrate progression from foundational robotics to clinical implementation, with recent focus on cardiac motion estimation, target transfer automation, and S-ICD patient treatment solutions. As Academic Director of UNI Luebeck's Grad School (2025), he oversees doctoral training while leading the Robotics Laboratory (RobLab). The lab maintains active grants supporting: RAVENTA trial: German multicenter feasibility study for ventricular tachycardia radioablation DYNAMIC phantom development for end-to-end treatment validation ECG-gated 4D CT motion modeling for precision targeting Landmark-based ultrasound-CT fusion techniques Students gain comprehensive experience across the medical technology pipeline - from hardware prototyping to clinical trial participation - within an internationally collaborative environment spanning the STOPSTORM.eu consortium and multiple EU research networks.

Teresa M. McCarthy Byrneمشاهده پروفایل

دانشیار

• Manufacturing Geographic Diversification
• Omnichannel Fulfillment
• Innovation in the Apparel Supply Chain
• +۵ مورد دیگر

Teresa M. McCarthy Byrne serves as Associate Professor of Marketing and Global Supply Chain Management at Bryant University's College of Business, where she coordinates the GSCM program with over 20 years of combined industry and academic experience. Her dual expertise bridges theoretical research and practical supply chain applications. Her educational background includes: Ph.D. in Supply Chain Management from The University of Tennessee, Knoxville M.S. in Business from the University of Rhode Island B.S. in Business Administration from University of Massachusetts at Amherst McCarthy Byrne's research investigates critical supply chain vulnerabilities through the lens of manufacturing geographic diversification as risk management , with particular focus on omnichannel retail fulfillment systems and innovation within fast-fashion supply chains . Her work examines how sales & operations planning (S&OP) frameworks and collaborative forecasting techniques can mitigate disruption risks in global networks, especially within apparel industries where speed-to-market is paramount. This research trajectory demonstrates consistent evolution from foundational supply chain integration studies toward contemporary risk management applications. Analysis of her publication history reveals three dominant thematic clusters: (1) supply chain risk mitigation through geographic and process diversification, (2) omnichannel retail transformation challenges in forecasting and fulfillment, and (3) fashion industry-specific innovations in rapid-response supply systems. These interconnected themes reflect growing scholarly attention to volatility in global supply networks. Her scientific recognition includes: Outstanding Faculty Award (2022) Excellence in Teaching Award (2019) Summer Research Grant (2015) Robert & Christine Staub Faculty Excellence Award (2007) As GSCM Program Coordinator, McCarthy Byrne has developed distinctive experiential learning opportunities including a consulting capstone course that connects students with industry partners. Her teaching portfolio spans supply chain integration, global sourcing, and B2B marketing, emphasizing real-world application through Bryant's career-focused curriculum. While no major external grants are documented beyond the 2015 Summer Research Grant, her professional engagement with Council of Supply Chain Management Professionals and Institute of Supply Management demonstrates industry integration. Though no dedicated research labs are mentioned, her work with the National Retail Federation and Academy of Marketing Science indicates active participation in industry knowledge networks focused on retail supply chain innovation.

Ahmed Elazabمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Medical Image Analysis
• +۷ مورد دیگر

Ahmed Elazab serves as an Associate Researcher at Shenzhen University's School of Biomedical Engineering since January 2021, following a Postdoctoral Research Fellowship at the same institution from January 2018 to April 2020. He holds a Ph.D. in Pattern Recognition and Intelligent Systems from the Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences (2017). Education Ph.D. in Pattern Recognition and Intelligent Systems, Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China (2017) Research Focus Dr. Elazab's work centers on machine learning and deep learning applications in biomedical contexts, with specialized expertise in medical image analysis , brain anatomy analysis , and computer-aided diagnosis . His research integrates computer vision, bioinformatics, and data science to develop AI-driven solutions for complex medical challenges including neurodegenerative diseases and infectious outbreaks. Publication Trends Analysis of his recent publications (2020-2023) reveals a concentrated focus on deep learning for medical diagnostics, particularly in Alzheimer's disease staging from MRI data and COVID-19 detection from X-ray images. His work consistently incorporates domain-specific knowledge into neural architectures, with growing emphasis on generative models for medical image segmentation and vaccine development. Cross-cutting themes include handling multi-modal biomedical data and addressing real-world clinical constraints. Scientific Recognition Active Academic Editor for PeerJ Computer Science with 1,600 contribution points Reviewer for prestigious international journals across computer science and biomedical domains Author/co-author of over 80 peer-reviewed publications Academic Engagement Dr. Elazab maintains significant scholarly involvement through editorial work at PeerJ Computer Science, where he has handled manuscripts on deep learning applications in medical imaging since 2020. His extensive publication record demonstrates consistent research productivity, though specific grant funding or student supervision details are not documented in available sources. He contributes to multiple subject areas including Artificial Intelligence, Bioinformatics, and Computational Biology. Research Environment As part of Shenzhen University's School of Biomedical Engineering, Dr. Elazab operates within a multidisciplinary research ecosystem focused on AI-driven medical solutions. His work intersects with ongoing initiatives in medical image computing and computational diagnostics, leveraging institutional resources for biomedical data analysis without specified laboratory affiliations.

• Biomechanics
• Musculoskeletal Health
• Patient Handling
• +۴ مورد دیگر

Dr. Anastasia Pavlova is a part-time Research Fellow in the School of Health Sciences at Robert Gordon University, with expertise spanning biomechanics, musculoskeletal health, and evidence synthesis. Her academic journey began with a 1st class BSc (Hons) in Sports and Exercise Science from Robert Gordon University (2006-2010), followed by a PhD in Medicine and Therapeutics from the University of Aberdeen (2010-2014), where she investigated intrinsic lumbar spine shape and biomechanics related to lifting and low back pain. Dr. Pavlova's research focuses on biomechanics and motion analysis , musculoskeletal health , patient handling techniques , low back pain , spine shape analysis using statistical shape modeling , and medical image analysis (MRI and DXA). Her work bridges clinical practice and research methodology, with a strong emphasis on evidence synthesis through systematic reviews and meta-analyses. Her recent publication record (2020-2024) demonstrates significant productivity with approximately 20 outputs focusing primarily on tendinopathy management, work-related musculoskeletal disorders among healthcare professionals, and fall prevention technologies. These publications reveal a methodological shift toward evidence synthesis while maintaining her biomechanics expertise. Dr. Pavlova currently supervises doctoral students, including Emma Hetricks pursuing a Doctor of Physiotherapy degree with research on movement during patient handling. She leads three active research projects: 1) physiotherapists' views on patient handling and work-related musculoskeletal disorders, 2) development of a prehabilitation program for total knee arthroplasty, and 3) supporting an NIHR-funded evidence synthesis project on exercise for tendinopathies. Her research team frequently includes collaborators such as Cooper K, Swinton P, Alexander L, and Morrissey D.