جست‌وجوی استاد و پژوهشگر

Mike O. Karlمشاهده پروفایل

استاد

• Neurodegeneration
• Retinal Regeneration
• Age-related Macular Degeneration
• +۴ مورد دیگر

Prof. Dr. Mike O. Karl serves as Group Leader at the Center for Regenerative Therapies Dresden (CRTD) and the German Center for Neurodegenerative Diseases (DZNE), Technische Universität Dresden, Germany. Research Focus: The Karl Group (MOKALAB) investigates neurodegenerative mechanisms in the human retina, with primary emphasis on age-related macular degeneration (AMD). Utilizing human retinal organoids and stem cell-derived models, they study retinal cell fate regulation, neuronal degeneration, and regenerative potential of Müller glia to develop novel therapeutic strategies for vision restoration. Grants and Training: Research is supported by European and German funding agencies. The group actively recruits PhD students through the Dresden International Graduate School for Biomedicine and Bioengineering (DIGS-BB) and collaborates with institutional partners for translational research. Laboratory: MOKALAB specializes in advanced 3D retinal organoid development, photoreceptor and Müller glia pathology modeling, and high-resolution imaging of retinal degeneration/regeneration processes.

• Biomedical Signal Processing
• Medical Imaging
• Explainable Artificial Intelligence
• +۳ مورد دیگر

Mario Cesarelli is a Professor at the University of Naples Federico II's Department of Biomedical Engineering, with an extensive publication record spanning over three decades. His research bridges engineering and clinical medicine, focusing on developing computational methods for disease diagnosis and patient monitoring through biomedical signal processing and artificial intelligence. Dr. Cesarelli's research spans multiple domains of biomedical engineering with particular emphasis on: Medical imaging analysis and radiomics for neurodegenerative disorders Explainable AI for cancer detection and diagnosis Biomechanics and motion analysis for neurological conditions Cardiac signal processing and analysis Generative models for medical image synthesis and authentication His recent publications demonstrate a strong trend toward explainable deep learning applications in healthcare, particularly for neurodegenerative diseases like Parkinson's and Alzheimer's, as well as various cancer diagnostics. The work increasingly focuses on model interpretability to build clinician trust in AI-assisted diagnosis. Dr. Cesarelli maintains extensive collaborations with a core research group including Paolo Bifulco (46 joint publications), Maria Romano (41), Gianni D'Addio (34), Antonella Santone (27), and Francesco Mercaldo (26), forming interdisciplinary teams that combine engineering expertise with clinical knowledge.

• Collective Intelligence
• Robotics
• Animal Behavior
• +۴ مورد دیگر

Liang Li is a Group Leader at the Max Planck Institute of Animal Behavior , leading the Embodied Collective Intelligence Lab . Her research bridges biology and robotics to study collective behavior through physical agent-environment interactions. Current position: Group Leader, Department of Collective Behavior Past roles: Project Leader at University of Konstanz and MPI Education: Ph.D. in Robotics and Control, College of Engineering, Peking University Research Interests Dr. Li's work focuses on embodied cognition , swarm intelligence , and fluid dynamics in biological and robotic systems. Key areas include hydrodynamic interactions in fish schooling, bio-inspired robotics design, and translating biological principles into robotic applications. Article Trends : Recent publications emphasize energy efficiency in swimming systems, hydrodynamic modeling for collective behavior, and virtual reality tools for behavioral studies. Interdisciplinary themes span robotics, fluid dynamics, neuroscience, and evolutionary ecology. Collaborations & Grants Her research involves international collaborations with institutions like University of Konstanz and Peking University. Grants include funding for robotic platforms (RoboTwin) and advanced pose estimation tools (DeepPoseKit). Labs & Teams The Embodied Collective Intelligence Lab is a small, interdisciplinary team specializing in bio-robotic systems. The group develops experimental robotic platforms and computational models to decode collective behavior rules.

Nicola Riekeمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Computer-Aided Surgery
• Surgical Robotics
• +۳ مورد دیگر

Dr. Nicola Rieke is an affiliated researcher at the Chair for Computer Aided Medical Procedures & Augmented Reality at the Technical University of Munich (TUM). Currently, she works at NVIDIA's Healthcare Team EMEA. Her research focuses on surgical tool tracking, real-time medical imaging, and computer-aided interventions with applications in ophthalmology and retinal microsurgery. Awarded the MICCAI 2015 Young Scientist Award for her work on surgical tool tracking, she has contributed to advancements in intraoperative OCT positioning and instrument localization. Her publications span conferences like MICCAI, IPCAI, and journals such as Medical Image Analysis. Professional service includes organizing roles in MICCAI workshops on domain adaptation, collaborative learning, and global healthcare AI. Her research integrates computer vision techniques with medical robotics to improve surgical precision and workflow. Key projects include real-time tracking algorithms for articulated instruments and robust pose estimation under partial occlusions.

Maria A. Martinمشاهده پروفایل

پژوهشگر

• Climate Change Modeling
• Glaciology
• Numerical Simulation
• +۳ مورد دیگر

Dr. Maria A. Martin has been affiliated with the Potsdam Institute for Climate Impact Research (PIK) since 2008, initially as a doctoral student and later transitioning to a post-doctoral researcher. Since 2014, she has served as a Research Analyst within the Scientific Directors' Staff department. Her academic background includes a physics degree from the University of Potsdam and Université Pierre-et-Marie-Curie in Paris, where her doctoral thesis focused on synchronization in quantum-optical resonators. At PIK, she co-developed the Parallel Ice Sheet Model and conducted pioneering research on Antarctic ice-flow dynamics using numerical modeling techniques. Dr. Martin's research interests span climate modeling, glaciology, and environmental science, with a particular emphasis on understanding the mechanisms driving ice-sheet dynamics and their implications for sea-level rise. Her work integrates advanced computational models with observational data to address critical questions in climate science. Beyond technical contributions, she has engaged in science communication through initiatives like the children's podcast Pinselohr . Her professional network and collaborations are reflected in her participation in interdisciplinary projects at PIK, including contributions to policy advice and software development related to climate impact research. She holds an ORCID identifier (0000-0002-1443-0891) and maintains active involvement in academic discourse through peer-reviewed publications and institutional outreach activities.

Katherine Storrsمشاهده پروفایل

مدرس ارشد

• Visual perception
• Deep learning
• Psychophysics
• +۷ مورد دیگر

Katherine Storrs is a Senior Lecturer in the School of Psychology at the University of Auckland, New Zealand. She leads the Computational Perception Lab, where she combines computational modeling and psychophysical experiments to study visual perception. Her research is supported by a Marsden Fast Start grant, and she is actively involved in teaching and academic service. She earned her PhD in Psychological Science from the University of Queensland in 2015 and has held postdoctoral positions at Justus-Liebig University (Germany) and the MRC Cognition and Brain Sciences Unit (Cambridge, UK). She also worked as a Data Scientist at Twitter in London. Dr. Storrs' research focuses on how the visual system interprets material properties such as gloss, shape, and reflectance. She uses unsupervised deep learning models to simulate and predict human perception, particularly in ambiguous or complex visual environments. Her work bridges cognitive science, neuroscience, and artificial intelligence. Her most recent publications explore topics such as gloss perception, mental rotation, face similarity, and the role of statistical learning in shape encoding. These works frequently appear in high-impact journals like Nature Human Behaviour , PNAS , and Current Biology , demonstrating a strong trend toward using computational models to explain perceptual phenomena. Marsden Fast Start Grant (2021) Humboldt Research Fellowship (2019) UK National Finalist, FameLab (2017) Editorial Board Member, Nature Communications Psychology (2023–) Editorial Board Member, OpenMind (2022–) Social Media Editor, Perception and i-Perception (2020–) She supervises graduate students and teaches courses including PSYCH 306 (Research Methods), PSYCH 775 (Visual Perception in Brains and Machines), and PSYCH 109. She also mentors students in honours, master's, and PhD programs. Her lab is actively involved in interdisciplinary collaborations, particularly with researchers in machine learning and computational neuroscience. The lab is funded by the Marsden Fund and supported by access to high-performance computing resources for training deep neural networks.

Stefan HAACKEمشاهده پروفایل

استاد

• Molecular Physics in Condensed Phase
• Photosensitive Proteins
• Organic Nanostructures
• +۶ مورد دیگر

Stefan HAACKE is a Professor at the University of Strasbourg, affiliated with the Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS) and Télécom Physique Strasbourg since 2004. He served as Director of IPCMS from 2013 to 2017. Previously, he held positions as Assistant Professor at the University of Lausanne (1999-2004) and Post-Doc at École Polytechnique Fédérale de Lausanne (EPFL, 1994-1999). His academic credentials include a Habilitation in Physics from EPFL (1999), a PhD in Physics from Université Joseph Fourier Grenoble (1994), and an M.Sc. in Physics from TU Berlin (1990). His research focuses on ultrafast photophysical processes in complex molecular systems, including: Photoisomerization mechanisms in retinal proteins and biomimetic molecular switches, examining environmental effects and vibrational coherence. Ultrafast spectroscopy of functional nanomaterials for energy conversion, particularly Fe(II) complexes and near-IR dye-sensitized solar cells. Non-linear optical phenomena and advanced spectroscopic method development. Recent publications (2021-2025) demonstrate strong emphasis on ultrafast dynamics in solar energy materials, photoisomerization mechanisms, and spectroscopic characterization of metal complexes. Key trends include interdisciplinary approaches combining ultrafast spectroscopy, materials synthesis, and computational modeling to study photoinduced processes in biomimetic systems and renewable energy applications. He leads multiple collaborative grants including: ANR Project 'PhotoMecha' (2020-2024) on femtosecond X-ray diffraction of photoswitches. ANR 'PhotIron' (2016-2021) and 'VISION-NIR' (2018-2022) on iron-based photosensitizers. DFG-ANR 'Femto-ASR' (2014-2018) on retinal protein dynamics. ITI QMAT 'VibCo-Fe' (2021-2023) on vibrational coherence in iron complexes. He coordinates the Strasbourg 'École Universitaire de Recherche' QMAT (Quantum Science and Nanomaterials) and collaborates internationally, including guest scientist roles at Max-Born-Institute Berlin. He chaired the 27th International Conference on Photochemistry (2017) and serves on scientific boards for major photonics conferences.

• Cognitive Science
• Visual Perception
• Attention
• +۵ مورد دیگر

Dr. Elisabeth Hein is a Scientific Assistant and Post-doctoral Fellow at the Evolutionary Cognition Research Group within the Department of Psychology, Faculty of Science, University of Tübingen. She holds a PhD in Psychology (2006, University of Tübingen) and a Master’s in Cognitive and Experimental Psychology (2002, Université Louis Pasteur, Strasbourg). Her research focuses on object cognition , visual perception , and the role of attention and features in resolving motion correspondence in dynamic displays. She has secured multiple competitive grants from the Deutsche Forschungsgemeinschaft (DFG) and the Volkswagen-Stiftung . Education : PhD in Psychology, University of Tübingen (2006) Master’s in Cognitive and Experimental Psychology, Université Louis Pasteur, Strasbourg (2002) Licence in Psychology, Université Louis Pasteur, Strasbourg (2001) Her recent work explores cross-modal correspondence (auditory-visual parallels), scene-based motion processing , and the neural mechanisms of attention in perceptual integration. She has authored peer-reviewed publications in journals like Journal of Experimental Psychology , Attention, Perception & Psychophysics , and Journal of Vision . Scientific Awards : 2020 DFG Continuation Research Grant 2014 DFG Research Grant 2008 Volkswagen-Stiftung Fellowship 2002-2005 DFG Graduate Fellowship Elisabeth Hein serves as a peer reviewer for journals including Acta Psychologica and Psychonomic Bulletin & Review , and has organized conferences and committees such as the Vision Sciences Society and European Conference on Visual Perception . She also contributes to student advisory services and academic governance at the University of Tübingen.

• Behavioral Ecology
• Evolutionary Biology
• Sensory Ecology
• +۵ مورد دیگر

Daniela C. Rößler is a behavioral and evolutionary ecologist leading an Emmy Noether Research Group at the University of Bonn’s Bonn Institute for Organismic Biology (Section II - Animal Diversity). She is also an affiliated scientist at the Max Planck Institute of Animal Behavior in Konstanz. Her work focuses on animal coloration, sensory ecology, and behavior, particularly in jumping spiders and amphibians like harlequin toads. Research priorities include anti-predator adaptations, sleep ecology in spiders (including the discovery of REM-like sleep states), and the evolution of multi-eyed visual systems. Her research integrates field and lab experiments to explore questions rooted in natural observations. She collaborates globally and mentors interns and students, emphasizing interdisciplinary and equity-focused science. Recent work highlights the ongoing amphibian extinction crisis and the ecological significance of sleep in arthropods. Awards include the prestigious Emmy Noether grant supporting her independent research group. Key areas of study include: predator-prey dynamics, sleep architecture in spiders, and the functional role of coloration in anti-predator strategies. Ongoing projects aim to establish sleep’s prevalence and ecological roles across spiders, while also addressing amphibian conservation challenges.

• Neuroscience
• Systems Neuroscience
• Sensory Processing
• +۳ مورد دیگر

Dr. Anton Sumser is a researcher at the Faculty of Biology, Ludwig Maximilian University of Munich, where he contributes to Prof. Laura Busse's research group and the Vision Circuits collaboration (Busse & Katzner). His work focuses on neural circuit mechanisms underlying sensory processing in mouse models, with emphasis on thalamic function in vision and touch. Sumser's research investigates how active versus passive sensory inputs are differentially processed in the thalamus, revealing specialized neural pathways for touch perception during movement. His studies integrate in vivo electrophysiology, viral tracing, and behavioral paradigms to dissect visuomotor coordination, demonstrating how thalamic hub-and-spoke networks enable visual perception during action. Additional work explores panoramic visual statistics shaping retinal organization and develops advanced rabies viral vectors for neural circuit mapping. His publication record (2016-2025) shows consistent contributions to sensory neuroscience, with recent work highlighting thalamic roles in multisensory integration. Key trends include methodological innovation in circuit tracing and the characterization of neural coding principles across visual and somatosensory systems. Sumser is embedded in the Vision Circuits group at LMU Munich, which examines the neural basis of visual perception in behavioral contexts. No information is available regarding students advised or research grants secured.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۳ مورد دیگر

João Paulo Papa is a Professor at the Department of Computing within the Institute of Biosciences, Humanities and Exact Sciences at São Paulo State University (UNESP), Brazil. His research spans machine learning, computer vision, and quantum computing with significant applications in medical diagnostics and environmental monitoring. Over the past three years, he has published extensively in top-tier journals including IEEE Access, ACM Computing Surveys, and Neural Computing and Applications. His research interests focus on developing innovative machine learning approaches for healthcare applications, particularly in Parkinson's disease detection through speech and facial analysis, medical image processing for cancer detection, and quantum-classical hybrid models. His work demonstrates strong integration of theoretical machine learning advancements with practical medical and environmental applications. Papa has established a productive research group that has produced numerous publications in computer vision conferences and medical informatics venues. Analysis of his recent publications reveals a strong emphasis on medical applications of AI, with approximately 60% of his work focused on healthcare diagnostics, 25% on fundamental machine learning advancements, and 15% on environmental and remote sensing applications. His research shows increasing collaboration with international partners while maintaining strong roots in Brazilian academic networks. Among his notable contributions is the development of specialized machine learning architectures for medical image analysis, including TransConv for esophageal cancer detection and quantum-classical hybrid models for breast cancer diagnosis. He has also made significant contributions to the Portuguese language processing community through adaptations of large language models for Brazilian Portuguese medical applications. Prof. Papa actively supervises graduate students and collaborates with medical professionals across Brazil, translating AI research into practical clinical tools. His research group maintains strong connections with hospitals and medical research centers to ensure clinical relevance of their technical developments.

• Cognitive Robotics
• Augmented Reality
• Traffic Telematics
• +۳ مورد دیگر

Prof. Dr.-Ing. Gerd-Jürgen Giefing serves as Professor of Information and Communication Technology at Georg Agricola University of Applied Sciences since 2003, concurrently leading the Electrical and Information Engineering Master's Program, Digital Signal Processing Laboratory, and serving as Deputy Head of the Software Engineering Laboratory. His academic foundation includes: Electrical engineering studies with data processing focus at University of Karlsruhe and Technical University of Munich (1983-1988) Doctorate in neuroinformatics and technical vision from Ruhr University Bochum (1988-1993) Research spans cognitive robotics with emphasis on behavior-oriented scene analysis and distributed communication frameworks, augmented reality systems, and traffic telematics applications including driver face recognition. His foundational work in biologically inspired computer vision established video-based facial capture systems using multiprocessor architectures, later evolving into cognitive robotics frameworks. Current investigations focus on brain-computer interfaces and nomadic point cloud calibration for mobile robotics. Publication trends reveal a progression from neurobiological vision models (1990s) to cognitive robotics infrastructure (2010s), consistently addressing real-world applications in automation and human-machine interaction through IEEE conference proceedings. Key recognitions: Innovation Award '94 from Bochum Technology Transfer Association European Information Technology Award 1996 from European Council for Applied Sciences and Engineering As IEEE Systems Man and Cybernetics Society member, he maintains active research leadership without documented grant specifics. His laboratory direction fosters applied research in signal processing and software engineering for cognitive systems development.

Sasan Matinfarمشاهده پروفایل

پژوهشگر

• Medical Sonification
• Sonic Interaction Design
• Extended Reality (XR)
• +۴ مورد دیگر

Sasan Matinfar is a research scientist at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures (Prof. Navab) and the Munich Center for Machine Learning (MCML). He serves as scientific staff at Rechts der Isar Hospital, developing XR and sonification systems for surgical environments since 2020. His educational background includes: Master’s and Bachelor’s in Computer Science, Ludwig Maximilian University of Munich (LMU) Musicology, Franz Liszt University of Music, Weimar Piano Interpretation, Art University of Tehran Matinfar pioneers medical sonification and multisensory XR, creating auditory interfaces that convert tissue properties into sound for surgical guidance. His work in user-centered design produces clinically viable tools like the Ocular Stethoscope for retinal procedures and physics-based BioSonix frameworks, merging computer vision with perceptual audio engineering to enhance intraoperative precision without visual overload. Analysis of his 12 recent publications (2017-2025) reveals an evolving research arc from foundational surgical soundtracks to sophisticated context-aware sonification. Current work integrates generative AI with real-time tissue deformation modeling, focusing on multimodal frameworks where auditory feedback complements visual navigation in complex surgeries like cardiac interventions and retinal peeling. Key recognitions include: The Data Sonification Award (2025) MICCAI 2023 Best Paper Nominee (top 3% of submissions) MICCAI Young Scientist Award (2017, top 2% of papers) As an educator, Matinfar mentors students through TUM courses including Medical Augmented Reality (WS 2025/26) and Surgical Robotics, while co-organizing the Medical Augmented Reality Summer School and IEEE ISMAR 2025’s MIX Workshop. His patented technologies emerge from collaborations with Politecnico di Milano, TU Dresden’s CeTI, and Balgrist Hospital Zurich, securing interdisciplinary grants in surgical data science. Matinfar operates within TUM’s NARVIS Lab for medical image analysis and RobUSt for robotics-ultrasound integration, leveraging the German Heart Center Munich (DHM) infrastructure to validate XR systems in live surgical workflows and advance vision-language models for intraoperative decision support.

• Biomedical Engineering
• Neural Prosthetics
• Microelectronics
• +۵ مورد دیگر

Prof. Dr.-Ing. A. Rothermel is a leading academic at Ulm University's Institute of Microelectronics, specializing in biomedical implants, neural prosthetics, and microelectronics. His work focuses on subretinal implants to restore vision in blind patients, with notable contributions to the Alpha AMS retinal implant project. He has authored over 135 publications, including key papers on power control systems, spatial filtering, and clinical trials of retinal implants. His research integrates electronics design, signal processing, and clinical applications, with a strong emphasis on improving visual perception through advanced chip technology. Prof. Rothermel has been granted multiple patents, including foundational work on active retinal implants and biomedical circuit designs. His interdisciplinary approach bridges electrical engineering and medical science, addressing challenges in energy efficiency, neural stimulation, and implantable device reliability.

Felix Jakobمشاهده پروفایل

پژوهشگر

• Biomaterials
• Biotechnology
• Protein Engineering
• +۴ مورد دیگر

Dr. Felix Jakob is a Project Leader in the research group (RG/AG Pich) at RWTH Aachen University, focusing on biomaterials, biotechnology, and protein engineering. His work integrates interdisciplinary approaches to develop innovative materials for biomedical applications, sustainable agriculture, and textile engineering. Key research interests include antimicrobial peptides, surface functionalization, and bio-based delivery systems. Recent projects involve creating bioadhesives for medical devices, anti-bacterial coatings for implants, and eco-friendly textile treatments. His team collaborates on initiatives like EcoGuard (plant protection) and BioCoat (textile coatings). Over 12 peer-reviewed articles since 2022 reflect his contributions to materials science, biomedical engineering, and sustainable technologies. Leading projects: EcoGuard, PEBIOTE, Bio4MatPro Key collaborations: With Prof. Schwaneberg and interdisciplinary teams Focused on translating lab innovations into industrial applications