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Nikolai Baastrup NordsborgView profile

Professor

• Health
• Individual differences
• Performance
• +9 more

Nikolai Baastrup Nordsborg is a Professor in Human Exercise Physiology and Head of the Department of Nutrition, Exercise and Sports at the University of Copenhagen's Faculty of Science. With over 200 employees under his leadership, the department serves approximately 700 students and manages an annual turnover of around 20 million EUR. His academic career began as Assistant Professor in 2008, progressed to Associate Professor in 2009, and culminated in his current Professorship and Department Head position starting in 2020. Dr. Nordsborg's educational background includes: 1995: Elite coach education in Swimming from 'Trænerskolen Aalborg' 2001: M.Sc. in Human Physiology 2002: Coastal Life-Guard and PADI Rescue diver certification 2005: Ph.D. in Exercise and Sport Sciences 2008: Course in pedagogy of teaching at Universities 2011: Research Management Course from Copenhagen Business School 2015-2017: Various management courses from the University of Copenhagen His research focuses on individual differences in human physiology, with emphasis on children's health, optimizing methods for individual monitoring of athletes, fighting doping, and understanding gene-environment-physiology interactions. His work spans from basic research in integrative exercise physiology to applied research in training modalities and anti-doping. Recent publications demonstrate strong focus on hematology in sports, genetic adaptations to exercise, and novel approaches to doping detection. His research involves international collaboration with anti-doping authorities worldwide, including the World Anti-Doping Agency and Partnership for Clean Competition. Key themes include EPO and altitude effects on hemoglobin, genetic variability in exercise adaptations, and biomarkers for detecting blood doping. Among his notable contributions are high-impact publications in journals like Nature Communications and PNAS. His research has secured significant funding, with grant acquisitions exceeding 100 million DKK since 2011. Dr. Nordsborg has supervised more than 80 bachelor students, over 50 master's thesis students, and several PhD candidates including Thomas Bonne, Jacob Bejder, Anders Kilen, Andreas Andersen, and Sara Solheim. He has coordinated more than 40 different research projects since 2011, collaborating with over 220 different authors. His leadership extends to heading the 'Integrative Physiology' section (2017-2020) and currently serving as Head of Department. He has established collaborations with numerous organizations including the World Anti-Doping Agency, Danish Security and Intelligence Service, NATO Special Forces, and various sports organizations.

Tzuyang YuView profile

Professor

• Structural Health Monitoring
• Radar Nondestructive Testing
• Concrete Materials
• +5 more

Tzuyang Yu is a Full Professor in the Department of Civil and Environmental Engineering at the University of Massachusetts Lowell's Francis College of Engineering. He serves as Director of the NDT/SHM Lab and Electromagnetic Remote Sensing Lab, and leads the Structural Engineering Research Group (SERG) and the Institutional Lead for the Transportation Infrastructure Durability Center (TIDC) at UML. His academic leadership includes serving as Associate Chair for Doctoral Studies. His educational background includes: Ph.D. in Civil and Environmental Engineering (2008), Massachusetts Institute of Technology M.Eng. in Civil and Environmental Engineering (2002), Massachusetts Institute of Technology M.S. in Civil Engineering (1998), National Central University, Taiwan B.S. in Construction Engineering (1996), National Yunlin University of Science and Technology, Taiwan Professor Yu's research focuses on electromagnetic properties of construction materials, structural health monitoring of bridges and buildings, theoretical modeling of dielectric properties, structural dynamics and stability, and concrete materials. His work bridges applied mathematics, physics, and civil engineering to develop novel nondestructive testing methodologies. He has pioneered techniques using synthetic aperture radar (SAR) for subsurface sensing in concrete structures, moisture detection, and chloride content characterization. His recent publications demonstrate strong trends in remote sensing technologies for infrastructure assessment, particularly using SAR imaging for concrete moisture detection, crack characterization, and material property evaluation. The research shows increasing integration of smart textiles and distributed sensing systems for long-term structural health monitoring applications. His scientific achievements have been recognized with numerous awards: Acorn Innovation Award (2022) ASNT Faculty Award (2021) Donald Leitch Award for outstanding research performance (2017) Japan Society for the Promotion of Science (JPS) Fellowship (2010) ASNT Fellowship Award (2008) Professor Yu has secured over $8 million in research funding from prestigious organizations including NIST, AFRL, NSF, DOE, and U.S. DOT. His current projects include advanced sensing technologies for UAV-based condition assessment, development of distributed sensing techniques for concrete bridges, and electromagnetic detection of concrete cracking. He has advised numerous students through programs like the Integrated University Program and ASNT Undergraduate Fellowship. His laboratory work focuses on the NDT/SHM Lab and Electromagnetic Remote Sensing Lab, where his team develops cutting-edge radar imaging techniques for infrastructure assessment.

Edmund TsuiView profile

Associate Professor

• Uveitis
• Ocular Inflammatory Diseases
• Ophthalmic Imaging Technology
• +6 more

Edmund Tsui, MD is an Associate Professor-in-Residence of Ophthalmology at the David Geffen School of Medicine, University of California, Los Angeles (UCLA). He trained at Dartmouth Medical School, New York University (NYU) School of Medicine (residency), and the Francis I. Proctor Foundation at UC San Francisco (fellowship). Education: MD from Geisel School of Medicine at Dartmouth (2014), Ophthalmology residency at NYU (2018), Uveitis fellowship at UCSF (2019). Dr. Tsui's research focuses on multimodal imaging in uveitis and retina image analysis for inflammatory disease clinical trials (MERIT, ADVISE, ZEDS) uveitis registries His work has resulted in over 80 peer-reviewed publications and participation in national/international conferences. Key trends in his publications include diagnosis and monitoring of uveitis via advanced imaging immune-related adverse events in cancer therapies biomarker validation for ocular diseases pediatric ophthalmology applications social media's role in medical communication Scientific awards include the UCLA Fellowship Faculty Teaching Award , AAO Achievement Award , Manhattan Eye Foundation Research Grant , and ARVO Science Communications Training Fellowship . He serves on the ARVO Professional Development and Education Committee , ARVO Advocacy and Outreach Committee , the editorial board of Ophthalmology , and the American Uveitis Society Executive Committee .

• Retinal Imaging
• Adaptive Optics
• Cone Photoreceptors
• +6 more

Joseph J. Carroll, PhD is a Professor and Director at the Medical College of Wisconsin, where he is affiliated with the Department of Ophthalmology and Visual Sciences and is a member of the Neuroscience Research Center. His research bridges clinical ophthalmology with advanced imaging technologies to study retinal structure and function. Dr. Carroll's research focuses on high-resolution retinal imaging, particularly using adaptive optics scanning light ophthalmoscopy (AOSLO) to examine photoreceptor structure in both healthy and diseased eyes. His work spans several key areas including achromatopsia, USH2A-related retinopathies, cone photoreceptor structure-function relationships, and the development of novel imaging techniques for assessing retinal diseases. He has made significant contributions to understanding the relationship between retinal structure and visual function in inherited retinal diseases. Analysis of Dr. Carroll's recent publications reveals a strong emphasis on longitudinal studies of retinal structure in genetic eye diseases, particularly achromatopsia and USH2A-related conditions. His work frequently employs advanced imaging modalities like adaptive optics and optical coherence tomography to examine the cone mosaic and other retinal structures at unprecedented resolution. A notable trend is his investigation of animal models, particularly the 13-lined ground squirrel, to study cone-dominant retinal physiology and disease mechanisms. As Director, Dr. Carroll leads research initiatives focused on developing and applying cutting-edge imaging technologies to better understand retinal diseases and monitor disease progression. His work with the Neuroscience Research Center supports interdisciplinary approaches to studying visual system disorders. Dr. Carroll has also contributed significantly to the academic community through editorial work, as evidenced by his publications on peer review practices in ophthalmology journals.

• Textile Engineering
• Materials Science
• Smart Textiles
• +5 more

Fernando Batista Nunes Ferreira is an Associate Professor at the University of Minho, Portugal, specializing in Textile Engineering. With a PhD from the University of Leeds (1991), his career spans over 30 years in higher education, including leadership roles as Director of the PhD course in Textile Engineering (2008-2021) and head of the Center of Textile Science and Technology (2003-2021). Education: PhD in Textile Industries (University of Leeds, 1991); Bachelor's in Textile Engineering (University of Minho, 1986). Professional Roles: Director positions in academic programs (1990-2021); current researcher in PRR-funded projects like BIOSHOES4ALL and BlueBioEconomy. Research Focus: His work bridges textile engineering with biomedical applications, sustainable manufacturing, and smart materials. Key areas include Antimicrobial biomolecule integration in textiles Finite element modeling of textile structures Recycled and bio-based materials Smart sensors for healthcare garments Industry 4.0 implementation Circular economy in fashion Scientific Output: Recent publications cover biomimetic medical textiles (2024), auxetic defense fabrics (2023), and computational modeling of textile mechanics (2022-2020). Projects emphasize sustainability (PRR initiatives) and wearable technology development.

• Metamaterials
• Vibro-acoustics
• Biotremology
• +5 more

Dr. Can Nerse is an early-career researcher and Adjunct Fellow at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), where he works as a Postdoctoral Research Fellow at the Centre for Audio, Acoustics and Vibration (CAAV). He joined UTS in February 2021 and has progressed from Postdoctoral Research Associate to Postdoctoral Research Fellow. His academic journey includes a Postdoctoral Research Associate position at Gwangju Institute of Science and Technology in South Korea. Dr. Nerse received his PhD in Mechanical Engineering from Gwangju Institute of Science and Technology in August 2020, following an MSc from the same institution in 2015 and a BSc from Middle East Technical University, Ankara, Turkey in 2013. Dr. Nerse's research focuses on the intersection of vibro-acoustics, metamaterials, and bioinspired engineering. He investigates how eusocial insects like honey bees build structures with specific vibro-acoustic properties and applies these insights to develop novel materials and vibration control solutions. His work spans theoretical modeling, experimental validation, and practical industrial applications in noise and vibration mitigation. Current research interests include vibroacoustics, metamaterials, biotremology, self-organization, digital twins, and numerical methods. Dr. Nerse's publication record demonstrates a progression from fundamental vibration analysis to bioinspired metamaterial applications. His most recent work focuses on topological mechanical states in hyperuniform materials, wild bee signal classification, and bio-inspired acoustic metasurfaces manufactured through knitting technology. This research trajectory shows increasing integration of biological principles with engineering solutions for noise and vibration problems. International Institute of Acoustics and Vibration (IIAV) - Member since 2023 Society for Experimental Mechanics - Member since 2015 Korean Society for Noise and Vibration Engineering (KSNVE) - Member since 2013 Dr. Nerse has secured multiple research grants including the UTS FEIT Blue Sky Research Scheme Grant for bio-informed sensing and the UTS Cross-Faculty Collaboration Grant for acoustic well-being through metasurfaces. He has taught courses including Embedded Mechatronics System, Dynamics and Control, FEM and Optimization, and Sound and Vibration. He is available for Master's research supervision and PhD student supervision, particularly in areas related to his expertise in vibro-acoustics and metamaterials. Dr. Nerse leads research in the Centre for Audio, Acoustics and Vibration (CAAV) at UTS, working with interdisciplinary teams to develop innovative solutions for vibration and noise problems. His current projects involve creating acoustic metasurfaces using knitting technology to address noise issues in communal spaces, aligning with UN Sustainable Development Goals for Sustainable Cities and Communities, Industry Innovation and Infrastructure, and Climate Action.

David HoffmeyerView profile

Associate Professor

• Structural Mechanics
• Timber Structures
• Beam Theory
• +6 more

David Hoffmeyer is an Associate Professor in the Department of Technology and Innovation at the University of Southern Denmark (SDU), affiliated with the SDU Civil and Architectural Engineering school. His academic work centers on structural mechanics with a focus on timber engineering, beam theory, and finite element analysis. Institution: University of Southern Denmark School: SDU Civil and Architectural Engineering Department: Department of Technology and Innovation Academic Rank: Associate Professor His research explores the mechanical behavior of timber structures, particularly the stress distribution in sawn timber beams under bending and torsion, damping of torsional vibrations in thin-walled beams, and the influence of material inhomogeneity and cylindrical orthotropy. He employs both analytical and numerical methods, including finite element modeling, to investigate structural responses. The recent publications reveal a consistent focus on computational and theoretical aspects of timber mechanics, with an emphasis on modeling induced stresses, vibration modes, and damping mechanisms. His work integrates solid mechanics principles with practical concerns in wood construction, such as screw withdrawal capacity and manufacturer variability in plywood. No scientific awards or honors are mentioned in the available texts. David Hoffmeyer is actively involved in teaching, supervising courses such as Advanced Timber Structures and Timber and Steel Structures . There is no mention of research grants or PhD student supervision in the provided materials. His research network includes collaborators such as A. Damanpack, J. Munch-Andersen, and J. Høgsberg. He is associated with research groups or labs focused on structural dynamics and timber engineering at SDU, though specific lab names are not provided. His recent media appearances indicate public engagement on sustainable wooden construction and climate-friendly housing.

Marco RagniView profile

Adjunct Professor

• Cognitive Modeling
• Human Reasoning
• Neurocognitive Processes
• +5 more

Marco Ragni is an Adjunct Professor at the Department of Psychology, Albert-Ludwigs-University Freiburg, and reachable at TU Chemnitz. He holds a DFG-Heisenberg Fellowship and is associated with multiple institutions including Justus-Liebig-University Giessen and the BrainLinks-BrainTools Cluster of Excellence. His research focuses on cognitive modeling, spatial reasoning, and neurocognitive processes, with expertise in AI, epistemic possibilities, and human reasoning mechanisms. Research interests include predictive modeling of higher-level cognition, knowledge representation, and the neural correlates of reasoning. He leads DFG-funded projects such as 'Neuro-cognitive Theory of Reasoning' and 'FADE' within the SPP 1921 initiative. His work bridges formal logic and cognitive psychology, with contributions to conditional reasoning, syllogistic tasks, and model-based approaches. As an editor of the KI-Journal and chair of the SIG Cognition in the German AI Society (GI), he promotes interdisciplinary research. His educational background includes PhDs in Cognitive Science and Computer Science from Freiburg, with habilitation in Psychology, Cognitive Science, and Mathematics. Teaching roles include seminars on machine learning and spatial cognition modeling. Scientific awards include the prestigious DFG-Heisenberg Fellowship (2015). Ongoing research explores AI ethics, cognitive systems, and the integration of human-like reasoning into artificial intelligence frameworks.

Fabian IsenseeView profile

Researcher

• Medical Image Segmentation
• Deep Learning
• Computer Vision
• +2 more

Dr. Fabian Isensee serves as Head of the Applied Computer Vision Lab within the Helmholtz Imaging Support Unit at the German Cancer Research Center (DKFZ), where he leads efforts to translate cutting-edge AI methodologies into practical solutions for Helmholtz Association researchers. His work focuses on developing domain-agnostic software for AI-based image analysis and algorithm evaluation across diverse biomedical applications. He earned his PhD from DKFZ's Division of Medical Image Computing, where he pioneered nnU-Net—the now de facto standard for medical image segmentation that earned publication in Nature Methods and multiple international competition victories. His research centers on deep learning for 3D semantic segmentation in biological and medical contexts, emphasizing automated pipeline design and open-science dissemination of tools. Analysis of his 2023–2025 publications reveals dominant trends in medical image segmentation with 85% focused on 3D architectures, particularly lesion detection (PET/CT), anatomical structure segmentation (vascular/circle of Willis), and trauma assessment (pelvic fractures/TBI). Key innovations include promptable segmentation frameworks, active learning evaluation, and federated benchmarking for healthcare AI. While specific award names aren't documented, his methods have secured victories in numerous international segmentation competitions including FeTS, AutoPET, and TopCoW challenges. His leadership extends to developing evaluation frameworks like Metrics Reloaded for rigorous validation of medical AI systems. As head of the Applied Computer Vision Lab, he directs collaborative projects across Helmholtz centers, providing consulting services and developing tools like nnU-Net variants that address segmentation challenges in oncology, neurology, and cardiology. His team's work supports over 15 major challenges including KiTS21 and PENGWIN, with active grants focused on decentralized AI evaluation and longitudinal lesion analysis.

• Sustainable Transport Systems
• Electric Vehicles
• Public Transport Planning
• +6 more

Sven Borén is a Researcher at Blekinge Institute of Technology (BTH), actively contributing to the SustainTrans team. He has led and participated in numerous projects focused on sustainable transport systems, including pre-studies on fossil-free shipping, cross-border public transport solutions, and electric vehicle integration. Organized the international MAGLEV 2024 conference Co-authored publications on regional sustainability, stakeholder collaboration, and transport policy Developed a distance course in sustainable transport systems His research spans scenario planning , electric bus systems , and strategic sustainable development . Key trends in his publications include cross-border mobility , life cycle analysis , and policy implementation .

Jacob HerrmannView profile

Assistant Professor

• Biomedical device design & control
• Biomedical imaging and signal processing
• Computational modeling
• +3 more

Jacob Herrmann is an Assistant Professor in the Department of Biomedical Engineering at the University of Iowa College of Engineering. He joined the institution in 2022 and specializes in biomedical device design, respiratory dynamics, and computational modeling. His work focuses on mechanical ventilation optimization and pulmonary structural analysis. PhD in Biomedical Engineering from University of Iowa (2018) MS and BS in Biomedical Engineering from Boston University (2015 & 2012) His research integrates biomedical device control , multiscale imaging , and computational modeling to study ventilator-induced lung injury, pulmonary fibrosis biomechanics, and oxygenation optimization. Recent work explores multi-frequency oscillatory ventilation and AI-assisted CT imaging analysis. Key trends in his publications include: Development of computational models for lung mechanics Innovations in ventilator design and control systems Quantitative CT imaging applications in pulmonary injury Biomechanical feedback mechanisms in fibrosis Collagen network analysis in tissue failure Herrmann leads the Respiratory Dynamics Lab and maintains active memberships in the American Thoracic Society and Biomedical Engineering Society. His work addresses critical challenges in respiratory care through interdisciplinary engineering approaches.

• Human-Centered AI
• Virtual and Augmented Reality
• Social Robotics
• +6 more

Giuliana VITIELLO is a Full Professor at the Department of Computer Science, University of Salerno. Her research focuses on Human-Centered AI, Social Robotics, Virtual/Augmented Reality, and Gender-Inclusive Language Technology. She has contributed to the design of AI-based tools for institutional communication, therapeutic robotics, and immersive educational environments. Current affiliation: University of Salerno Email: gvitiello@unisa.it Office: Fisciano Campus, Building F2, Room 083 Her recent publications highlight trends in: AI ethics and inclusivity Robot-assisted cognitive therapy Metaverse collaboration tools IoT-driven healthcare systems Immersive educational applications

Cihang XieView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Adversarial Machine Learning
• +6 more

Cihang Xie is an Assistant Professor of Computer Science and Engineering at the University of California, Santa Cruz, where he conducts cutting-edge research at the intersection of computer vision and machine learning. He co-leads the Vision · Learning · Assured Autonomy (VLAA) Lab with Professor Yuyin Zhou, focusing on building human-level computer vision systems with robust performance under distribution shifts and developing deep representation learning with minimal supervision. Dr. Xie received his Ph.D. from Johns Hopkins University under the supervision of Bloomberg Distinguished Professor Alan Yuille. During his doctoral studies, he gained valuable industry experience as a research intern at Facebook AI Research (FAIR) working with Kaiming He and Laurens van der Maaten, and at Google Brain with Quoc Le. His research spans multiple critical areas including adversarial machine learning, vision-language models, 3D vision, and robust AI systems. Dr. Xie's work often bridges theoretical foundations with practical applications, particularly in developing methods that maintain performance under challenging conditions such as distribution shifts and adversarial attacks. His recent focus has expanded to include large language model safety evaluation, high-quality image editing datasets, and efficient transformer architectures. Dr. Xie's publication record demonstrates consistent output across top-tier computer vision and machine learning venues including CVPR, ICCV, ECCV, NeurIPS, and ICML. His work shows a clear progression from foundational research in adversarial robustness to more recent explorations in vision-language alignment, 3D representation learning, and efficient model architectures. Awards and Recognition 2020 Facebook Fellowship Dr. Xie has advised numerous Ph.D. students at UC Santa Cruz and maintains collaborations with students from Johns Hopkins University and other institutions. His service to the academic community includes serving as Area Chair for major conferences including CVPR (2024/2023), ICLR (2024/2023/2022), ICML (2024/2023), ICCV (2023/2021), and NeurIPS (2024/2023/2022), as well as Senior Program Committee for AAAI 2022 and IJCAI 2021. The VLAA Lab, which Dr. Xie co-leads, has multiple openings for summer interns and visiting students, indicating active growth and research momentum. Recent lab achievements include releasing Recap-DataComp-1B, HQ-Edit dataset, and D-iGPT with impressive ImageNet performance.

• Dynamics
• Vibration Measurement
• Acoustics
• +6 more

Associate Professor Benjamin Halkon is a leading experimental dynamicist at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney , specializing in non-contact vibration measurement techniques. He directs the UTS Tech Lab Vibration Laboratory , which houses advanced systems like the Polytec PSV-500 Xtra Scanning Laser Vibrometer. His career spans academic leadership, including Deputy Head of School (Teaching & Learning) and co-chairing the Asia-Pacific Vibration Conference (2019) and Inter-Noise 2026 (Technical Chair). Education: PhD and BEng (Hons.) in Mechanical Engineering from Loughborough University Memberships: Fellow of Institution of Mechanical Engineers, Fellow of Institution of Engineers Australia Dr. Halkon's research focuses on laser Doppler vibrometry in challenging environments, with applications to defence, government, and industry . His work addresses instrument vibration correction, acoustic manipulation, and structural analysis for autonomous vehicles. He has secured over $1.6M in research grants and published >100 works with a high Field-Weighted Citation Impact (FWCI 3.20). His teaching portfolio includes coordinating key subjects like Dynamics and Control and Mechanical Vibration and Measurement , alongside leading curriculum reforms for undergraduate and postgraduate programs. Current funded projects include collaborations with SkyKraft Pty Ltd , Space Research Network , and SiteHive Pty Ltd on vibration sensors and acoustic classifiers.

• Cybersecurity
• Blockchain
• Distributed Systems
• +2 more

Sheng Wen is a Professor at Swinburne University of Technology's School of Science, Computing and Emerging Technologies, where he serves as Director of the Blockchain Innovation Lab and Deputy Director of the Swinburne Cybersecurity Lab. His research spans cybersecurity, blockchain, and distributed systems, with over $7 million in research funding from ARC and industry partners. He leads a team focused on vulnerability detection, AI security, and privacy-preserving technologies. Research interests include adversarial machine learning, blockchain consensus security, IoT device vulnerabilities, and federated learning applications. His publications consistently address emerging threats in AI systems and cross-chain blockchain security. Awards include the 2021 SCET Research Excellence Award and the 2015 Scientists Meet Senators recognition. Grants support projects in optimized energy management, railway signaling verification, and healthcare AI security. Supervision includes 36 PhD students working on blockchain applications, fuzzing tools, and cybersecurity AI. His lab collaborates with CSIRO and industry partners on critical infrastructure protection.