جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +۵ مورد دیگر

Mohamed F. Tolba is a Professor at Ain Shams University in Cairo, Egypt, affiliated with the Department of Scientific Computing within the Faculty of Science. He also maintains a research affiliation with Nile University's NISC Research Center in Giza, Egypt. His career spans over two decades of active research and publication in computational intelligence and its applications. Dr. Tolba's research interests focus on the intersection of artificial intelligence and practical applications, particularly in medical imaging, bioinformatics, and computer vision. His work demonstrates expertise in deep learning architectures, neural networks, and image processing techniques applied to medical diagnostics and biological data analysis. He has made significant contributions to cancer detection systems, EEG signal processing, and hyperspectral image classification. His recent publications (2023-2025) reveal a strong trend toward developing specialized deep learning models for medical applications, including cancer classification, Parkinson's disease diagnosis, and medical image analysis. He frequently collaborates with researchers in Egypt, particularly with Howida A. Shedeed, Hala Mousher Ebeid, and Aboul Ella Hassanien, producing numerous high-impact publications in international conferences and journals. Dr. Tolba has been instrumental in organizing and contributing to major conferences in his field, including the International Conference on Advanced Intelligent Systems and Informatics (AISI), where he has served as editor and contributor to conference proceedings.

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +۷ مورد دیگر

Leo Mrsic is a researcher with extensive contributions to Artificial Intelligence, Machine Learning, and Data Analytics. He has published numerous high-impact articles in journals like Artificial Intelligence Review and Quantum Machine Intelligence , covering topics such as quantum computing applications, blockchain in education, and neurotechnological frameworks. His work also extends to environmental engineering and biomedical research. Research Interests : AI, quantum computing, blockchain, sentiment analysis, educational technology, genomics Collaborators : Siddhartha Bhattacharyya, Mislav Balkovic, Mateo Sokac, Sovan Samanta Recent Articles (2025-2022) explore quantum-inspired metaheuristics, fog computing frameworks, and EEG-based image generation. No awards, students, or institutional affiliations are explicitly mentioned in the provided data.

• Neuroscience
• Cognitive Neuroscience
• Visual Perception
• +۳ مورد دیگر

Hamed Bahmani is a research scientist and entrepreneur in digital health and neurotechnology based in Berlin, Germany. He currently serves as a visiting researcher and project leader at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, and is affiliated with the Bernstein Center for Computational Neuroscience (BCCN). He maintains active memberships in the Vision Science Society (VSS), The Association for Research in Vision and Ophthalmology (ARVO), Society for Neuroscience (SfN), International Brain Research Organization (IBRO), International Myopia Institute (IMI), and serves as German Chair of the Neuromarketing Science and Business Association (NMSBA). His educational background includes: Double degree in electrical and biomedical engineering Doctoral degree in neurosciences from the Max Planck Institute for Biological Cybernetics Dr. Bahmani's research centers on the physiology of cognitive processes, with specialized focus on neural correlates of higher visual functions including visual perception and attention. He pioneered groundbreaking work on neural encoding through his Volkswagen Foundation-funded project "Uploading data to the brain," which demonstrates real-time transfer of navigational knowledge in rodents using multi-electrode recording and microstimulation. His interdisciplinary methodology integrates neuroscience, engineering, and digital health to explore perceptual organization mechanisms and brain-computer interface applications, particularly investigating how synchronized neural activity in primary visual cortex (V1) carries perceptual information during binocular flash suppression. He has secured competitive research funding from the Volkswagen Foundation (€87,000 for his neural encoding project), Max Planck Institute, and Federal Ministry of Education and Research. As Founder and CEO of Dopavision GmbH, he leads a neurotechnology venture developing digital health solutions, building upon his prior role as Head of Research at Berlin's Flying Health Incubator and postdoctoral fellowship at ZEISS Vision Science Lab, University Hospital Tübingen.

• Computational Neuroscience
• Neural Networks
• Neural Coding
• +۱۱ مورد دیگر

Tatjana Tchumatchenko is a Group Leader at the Max Planck Institute for Brain Research in Frankfurt and affiliated with the University of Bonn Medical Center. She leads the Theory of Neural Dynamics group, focusing on computational models of neural coding, synaptic plasticity, and dendritic computation. Her work integrates mathematics, physics, and computer science to understand how neurons and networks process information. Institution: Max Planck Institute for Brain Research, Frankfurt Secondary Affiliation: University of Bonn Medical Center Group: Theory of Neural Dynamics Research Focus: Computational Neuroscience, Neural Coding, Synaptic and Dendritic Dynamics Her research spans from molecular-level processes like mRNA and protein distribution in dendrites to network-level phenomena such as information transmission, oscillations, and learning. She develops theoretical models and computational tools to analyze neural data and predict novel effects testable by experiments. Her interdisciplinary approach bridges theoretical neuroscience with experimental biology, often in close collaboration with experimental groups worldwide. The 15 most recent publications highlight a strong trend toward integrating molecular, structural, and functional aspects of synaptic and dendritic computation. Key themes include competitive synaptic plasticity, energy constraints on molecular localization, astrocyte involvement in learning, and the development of novel analytical methods for imaging and electrophysiology data. Her work increasingly connects computational principles with biological realism, influencing both neuroscience and artificial intelligence. Heinz Maier-Leibnitz-Prize (2016) ERC Starting Grant (2020) Boehringer Ingelheim FENS Research Award (2022) Young Academy of Europe Fellow (2019) Focus Magazine: 25 Young Innovators Shaping Germany’s Future (2017) Tchumatchenko has mentored over thirty students and postdocs, many of whom have received prestigious fellowships. Her research is supported by the Max Planck Society, DFG, and Hessian funding agencies. She actively contributes to the neuroscience community through organizing workshops, serving on program committees (Bernstein Conference, CNS, FENS), and promoting women in science. She currently chairs the Bonn Center for Neuroscience and co-organizes international workshops on dendritic computation and synaptic plasticity. Her lab operates at the intersection of theoretical modeling and experimental collaboration, with members shared across scientific groups. She emphasizes training the next generation of computational neuroscientists and fostering interdisciplinary dialogue.

Anton Sirotaمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Learning and Memory
• +۵ مورد دیگر

Prof. Anton Sirota is a Professor and Research Group Leader at the LMU Division of Neurobiology and a member of the Bernstein Center for Computational Neuroscience (BCCN Munich). He leads the MSc Neuroscience Examination Committee and is a full member of the Graduate School of Neural and Behavioral Sciences (GSN). His research focuses on mechanisms of information representation and propagation in cortical networks, particularly between the neocortex and hippocampus during learning and sleep. He employs advanced techniques including multichannel electrophysiology, optogenetics, and virtual reality to study neural dynamics in behaving rats. His lab uses graphene-based sensors and multiplexed neural probes for high-resolution brain mapping. Research Interests: Neurophysiological mechanisms of learning and memory consolidation Cortico-hippocampal network dynamics Neural oscillations and their role in information transfer Development of neurotechnologies for brain activity recording (e.g., graphene sensors, SiNAPS probes) Role of respiration in coordinating neural networks Advising: Current advisee Arash Shahidi . Graduated students include Dr. Nicholas Del Grosso , Dr. Andrey Sobolev , Dr. Elena Itzcovich , and Fabián Štoček . Labs/Teams: Active in the Cognitive Neurophysiology Lab , leveraging cutting-edge tools like multishank silicon probes and optogenetic modulation. Collaborates on projects involving virtual reality systems for rodent behavior studies and computational modeling of neural networks.

• Numerical Methods
• Semiconductor Devices
• Perovskite Photovoltaics
• +۷ مورد دیگر

Patricio Farrell is a Senior Lecturer and Research Group Leader in Applied Mathematics at the Weierstrass Institute Berlin (WIAS). His work bridges mathematical theory and engineering applications, focusing on numerical methods for semiconductor devices, perovskite solar cells, and neuromorphic materials. He leads the 'Methods for Innovative Semiconductor Devices' group at WIAS and serves as Vice Chair of the Committee for Mathematical Modeling, Simulation, and Optimization (KOMSO). Affiliations: WIAS Berlin, Freie Universität Berlin (Privatdozent), Berlin Mathematical School (Mentor) Educations: PhD in Applied Mathematics (University of Oxford), Diplom (University of Hamburg/University of Bath) His research emphasizes structure-preserving numerical methods for drift-diffusion systems, with applications ranging from next-generation semiconductors to photonic crystal lasers. He develops simulation tools like ChargeTransport.jl and contributes to open-source numerical libraries such as VoronoiFVM.jl. Key projects include the ARISE initiative for semiconductor solvers (€1M), Excellence in Photonic Crystal Surface Emitting Lasers (PCSELence), and MATH+ projects on perovskite devices and semiconductor mechanics. Farrell is a scientific ambassador for Brain City Berlin and actively publishes in top journals, emphasizing computational methods for energy transition and material science challenges.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۱۷ مورد دیگر

Prof. Dr. Antonio Krüger is the CEO of the German Research Center for Artificial Intelligence (DFKI) and Director of the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus in Saarbrücken, Germany. He is a leading researcher in human-computer interaction, virtual and augmented reality, multimodal interfaces, and intelligent systems. His research interests span a broad range of topics including virtual reality (VR), augmented reality (AR), gesture interaction, haptic feedback, EEG and eye tracking, gamification, cognitive load estimation, brain-computer interfaces, and smart environments. His work emphasizes user-centered design, perceptual illusions, and real-world applications in domains such as automotive, healthcare, and education. His recent publications (2023–2024) demonstrate a strong focus on advancing VR interaction through techniques like hand redirection, synthetic gesture generation for vehicles, implicit intent recognition using multimodal sensing, and personalized object referencing. These works reflect trends toward seamless, natural, and adaptive interfaces that leverage AI, perception, and real-time feedback. Prof. Krüger supervises a large team of researchers and students, including Mansi Sharma, Amr Gomaa, André Zenner, and Martin Feick, indicating active mentorship and collaborative research leadership. His lab, UMTL, develops innovative technologies in immersive environments, wearable systems, and intelligent user assistance, contributing to both academic knowledge and practical applications.

Esther Florinمشاهده پروفایل

استاد

• Neurophysiology of resting-state networks
• Parkinson’s disease pathophysiology
• Electro-/magnetoencephalography (E/MEG)
• +۴ مورد دیگر

Univ.-Prof. Dr. rer. nat. Esther Florin is Professor at Heinrich-Heine-University Düsseldorf and heads the Florin AG within the Institute of Clinical Neuroscience and Medical Psychology . Her group investigates the neurophysiological basis of resting-state networks and their alterations in Parkinson’s disease using advanced electro-/magnetoencephalographic (E/MEG) techniques. Research Focus: Neurophysiology of resting-state networks (RSNs) Pathophysiology of idiopathic Parkinson’s disease Electrophysiological mechanisms of dopaminergic therapy and deep brain stimulation Development of novel time-series and Granger-causality methodologies Across her recent publications, a clear trend emerges toward understanding causal interactions within cortical–subcortical circuits in both healthy and parkinsonian brains. Studies repeatedly combine high-resolution E/MEG recordings with sophisticated multivariate analysis to link oscillatory activity to cognitive–motor symptoms and therapeutic interventions. Scientific Awards: No specific awards are mentioned in the provided text. Advising & Team: Prof. Florin leads a multidisciplinary team comprising post-docs, doctoral researchers, medical doctoral candidates, and student assistants. Current members listed include Rachel Spooner, Matthias Sure, Bahne Hendrik Bahners, and several MD and MSc candidates. Laboratory & Resources: The Florin AG operates within modern facilities at HHU Düsseldorf (Building 12.46, Room 01.18.01) equipped for simultaneous E/MEG recordings, real-time neurofeedback, and advanced computational analysis.

Jakob Karolusمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Electromyography (EMG)
• Proficiency-Aware Systems
• +۶ مورد دیگر

Dr. Jakob Karolus is a postdoctoral researcher at Ludwig-Maximilians-Universität München (LMU) and affiliated with the Embedded Intelligence group at the German Research Center for Artificial Intelligence (DFKI). He holds a BSc and MSc in Computer Science and Visual Computing from TU Darmstadt and completed his PhD at the University of Stuttgart and LMU Munich. Academic background: BSc/MSc in Computer Science, PhD in HCI and AI Current roles: Postdoc at LMU, Researcher at DFKI His research focuses on physiological sensing , proficiency-aware systems , and human-centric AI , with emphasis on electromyography (EMG), biofeedback, and gaze-based interfaces. He develops technologies to enhance human perception and create adaptive interactive systems that respond to cognitive load, muscle activity, and brain signals. Recent publications explore applications of EMG in musical interfaces (EMPiano, EMGuitar), VR presence (VRsneaky), and ethical AI design. His work intersects human-computer interaction , sensor systems , and augmented cognition . Notable awards: Best paper award at WOAR '15. Collaborates on European projects like ERC Amplify and the SFB-TRR 161 initiative on cognition-aware visualizations.

Christian Klaesمشاهده پروفایل

استاد

• Neurotechnology
• Brain-Computer Interfaces
• Neuroscience
• +۷ مورد دیگر

Prof. Dr. Christian Klaes leads the KlaesLab at the Ruhr-University Bochum 's Department of Neurotechnology , focusing on advanced neuroprostheses and assistive devices for paralysis rehabilitation. His work integrates neuroscience , machine learning , and virtual reality to decode brain signals for controlling exoskeletons and BCI systems . Key research areas: Brain-Computer Interfaces , Neural Implants , VR-based Neurorehabilitation , and AI-driven Medical Diagnostics Collaborations with Caltech , German Primate Center , and University of Madeira expand his interdisciplinary impact. Recent publications highlight advancements in EEG decoding accuracy , spike sorting algorithms , and somatosensory feedback systems , demonstrating his lab's contributions to neural signal processing and embedded AI platforms for future implants. Current projects include developing smart upper-limb exoskeletons , exploring terahertz brain imaging , and pioneering phantom touch illusions for sensory augmentation in VR environments.

• Neuroscience
• Biomedical Engineering
• Neurotechnology
• +۷ مورد دیگر

Dr. Hayder Amin serves as Group Leader of the BIONICS research group at the German Center for Neurodegenerative Diseases (DZNE) in Dresden, Germany. His interdisciplinary research program bridges neuroscience, engineering, and computational science to investigate the complex network dynamics of the brain in health and disease. Dr. Amin's research focuses on understanding how neural computations are coordinated across multiple scales to generate robust functional outcomes. His work examines the 'yin and yang' of neural computations performed by different brain regions and investigates collective network stability during dynamic changes induced by experience, learning, disease, and neurogenesis. A key aspect of his research involves exploiting the brain's reparative regenerative capabilities to rewire existing distributed circuitry through adult neurogenesis in the hippocampus. His laboratory employs a comprehensive suite of cutting-edge technologies including high-resolution high-density biosensors, calcium imaging, patch-clamp recordings, in-vitro HiPSC-derived neuronal cultures, ex-vivo transgenic mouse brain slices, genome-wide spatial transcriptomic profiling, opto- and chemogenetics, and advanced computational analytical tools. Current projects investigate hippocampal circuit dynamics, olfactory circuitry, and the relationship between spatial transcriptomics and functional dynamics in large-scale brain networks. Dr. Amin actively recruits Bachelor's and Master's students in neuroscience, bioengineering, mathematics, and computer science to join his dynamic international research team working at the forefront of neurotechnology development.

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +۳ مورد دیگر

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

• Cognitive Neurology
• Neural Data Science
• Statistical Computing
• +۵ مورد دیگر

Professor Karsten Mueller is a distinguished researcher in cognitive neurology and neural data science at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. He holds the position of Associate Professor at Leipzig University's Faculty of Medicine and serves as a faculty member at both the International Max Planck Research School on Neuroscience of Communication (IMPRS NeuroCom) and the International Max Planck Research School on Cognitive NeuroImaging (IMPRS CoNI). Additionally, he has been appointed as a Visiting Professor at the First Faculty of Medicine at Charles University in Prague since 2025. His work focuses on advanced neuroimaging techniques to understand brain structure and function in various neurological conditions. Dr. Mueller received his Dr. habil. degree in Cognitive Neurology from Leipzig University's Faculty of Medicine in 2006, the same year he became a Private lecturer (Privatdozent) at the institution. His academic journey includes a postdoctoral position from 1999 to 2008 at the Department of Cognitive Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, under the supervision of D.Y. von Cramon. In 2015, he was awarded the title of Apl.-Professor (Associate Professor) at Leipzig University, recognizing his significant contributions to the field. Professor Mueller's research spans several critical areas in cognitive neuroscience and neuroimaging. His primary focus is on understanding brain connectivity and structure in neurological disorders, particularly Parkinson's disease, frontotemporal dementia, and the effects of deep brain stimulation. He leads the Methods and Development Group for Neural Data Science and Statistical Computing, where his team develops advanced computational approaches for analyzing complex neuroimaging data. His work bridges clinical neurology with cutting-edge data science, creating innovative methods to extract meaningful insights from brain imaging studies. This interdisciplinary approach has led to significant contributions in understanding how neurological conditions affect brain networks and cognitive functions. Analysis of Professor Mueller's recent publication record reveals a strong emphasis on applying advanced computational and machine learning techniques to neuroimaging data. His research consistently explores the relationship between brain structure/function and various neurological conditions, with particular attention to Parkinson's disease, frontotemporal dementia, and stroke recovery. A notable trend is his increasing use of artificial intelligence and deep learning approaches to improve diagnostic accuracy and understand disease progression. His work also demonstrates a growing interest in connecting peripheral biomarkers (like retinal imaging) with central nervous system changes, suggesting a more holistic approach to understanding neurological disorders. The collaborative nature of his research is evident through numerous international partnerships, particularly with institutions in Prague. Professor Mueller leads the Methods and Development Group for Neural Data Science and Statistical Computing at the Max Planck Institute. This team focuses on developing innovative computational approaches for analyzing complex neuroimaging datasets. Their work encompasses statistical modeling, machine learning applications, and the creation of open-source tools for the neuroscience community. The group collaborates extensively with clinical researchers to translate advanced data analysis techniques into meaningful clinical insights, particularly in the areas of movement disorders, dementia, and brain connectivity research.

Dekel Rosenfeldمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Neuromodulation
• Tissue Engineering
• +۴ مورد دیگر

Dr. Dekel Rosenfeld is a Senior Lecturer in the Department of Biomedical Engineering at Tel Aviv University, affiliated with The Iby and Aladar Fleischman Faculty of Engineering. He holds a Ph.D. in Biomedical Engineering from the Technion (2015) and conducted postdoctoral research at MIT's Bioelectronics group (2016-2022), focusing on magnetothermal approaches for peripheral nerve/organ interfaces and gut-brain axis studies. Education: B.Sc. in Biomedical Engineering (Cum Laude, 2007), Technion M.Sc. in Biomedical Engineering (Direct Track, 2010), Technion Ph.D. in Biomedical Engineering (2015), Technion His research develops magnetic functional materials for remote neuromodulation and calcium-dependent processes in peripheral organs. Key applications include treating hormonal imbalances in mental health disorders like PTSD through adrenal stress hormone control , and advancing organ-brain communication understanding using minimally invasive techniques validated in vitro and in vivo . Recent publications (2020-2025) demonstrate expertise in magnetothermal stimulation , bioelectronic interfaces , and neuro-endocrine interactions , with notable work in Science Advances and Neuron . Current projects explore in silico thermal transducer optimization and 3D magnetic collagen gels for cellular control.

Assaf Talمشاهده پروفایل

استاد

• Neuroimaging
• Magnetic Resonance Spectroscopy
• Brain Disease Monitoring
• +۳ مورد دیگر

Prof. Assaf Tal is a faculty member in the Department of Bio-Medical Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on developing advanced neuroimaging methodologies using magnetic resonance spectroscopy (MRS) and imaging (MRI) to investigate brain function and disease mechanisms. His primary research interests center on neuroimaging physics and brain disease monitoring , with specific emphasis on: Developing novel MRS/MRI techniques combining spin physics and signal processing Tracking neurochemical changes during cognitive processes Detecting and monitoring neurodegenerative diseases including multiple sclerosis, traumatic brain injury, and Alzheimer's Disease Understanding brain encoding mechanisms across neurochemical, electrophysiological, and structural levels His work bridges biomedical engineering with clinical neuroscience to create improved diagnostic and monitoring tools. Prof. Tal's recent publications (2022-2025) demonstrate strong focus on functional MRS and advanced spectral-temporal analysis , with significant contributions to motion correction, uncertainty estimation, and microstructural modeling in neuroimaging. His research shows increasing integration of computational methods like Bayesian inference and machine learning for precision neuroimaging. His laboratory develops specialized software tools including the Visual Display Interface (VDI) for MRS data processing and simulation, supporting both preclinical and clinical neuroimaging research.