جستجوی استاد راهنمای دانشگاهی

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.

• Low-Voltage Circuit Design
• Charge Pumps
• Energy Harvesting Systems
• +۵ مورد دیگر

Andrea Ballo is an Assistant Professor at the Department of Electrical Electronic Engineering and Computer Science (DIEEI) at the University of Catania, specializing in low-voltage analog and mixed-signal circuit design. With over 40 publications spanning from 2018 to 2025, Dr. Ballo has established a strong research profile in ultra-low-power circuit design, particularly focusing on charge pumps, energy harvesting systems, and circuits for medical implantable devices. Dr. Ballo's research interests center around Low-Voltage Circuit Design , Charge Pumps , Energy Harvesting Systems , Ultra-Low-Power Circuits , and CMOS Circuit Design . Their work addresses critical challenges in powering next-generation IoT devices and medical implants where energy efficiency and miniaturization are paramount. Recent publications demonstrate innovative approaches to Dickson charge pumps, ultra-low-voltage operational transconductance amplifiers, and active rectifiers for energy harvesting applications. Analysis of recent publications (2023-2025) reveals a strong focus on pushing the boundaries of ultra-low-voltage operation (down to 0.3V), minimizing power consumption (reaching nanoampere current levels), and improving efficiency in charge pump circuits. Dr. Ballo's research bridges theoretical circuit analysis with practical implementations in modern CMOS technologies (down to 28nm), making significant contributions to the field of energy-constrained electronic systems. Dr. Ballo has collaborated extensively with researchers including Alfio Dario Grasso, Gaetano Palumbo, Marco Privitera, and Salvatore Pennisi, indicating strong integration within the University of Catania's research ecosystem. The collaborative nature of their work spans both theoretical analysis and practical circuit implementations, with numerous publications in IEEE journals including IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and IEEE Access. The research trajectory shows consistent progression from fundamental charge pump analysis (2018-2020) to increasingly sophisticated implementations for specific applications like medical implants and IoT devices (2021-2025), demonstrating growing expertise and impact in the field of low-power circuit design.

Franziska Nestlerمشاهده پروفایل

پژوهشگر

• Applied Functional Analysis
• Fast Fourier-based Algorithms
• Machine Learning
• +۳ مورد دیگر

Franziska Nestler is a Researcher at the Department of Mathematics , Chemnitz University of Technology , with a focus on applied functional analysis and computational methods. She leads the BMBF junior research group SALE (Fast Algorithms for explainable recommendation systems) and contributes to E-learning initiatives at the Faculty of Mathematics. Education : Diploma in Mathematics (2012), PhD in Applied Functional Analysis (2018) Research interests center on fast Fourier-based algorithms for electrostatic interactions in particle systems, machine learning with interpretable kernel methods, and E-learning tools for mathematics education. Her work bridges numerical analysis, computational physics, and pedagogical innovation. Key scientific awards include the Best Poster Award at the Strobl18 Workshop. She has collaborated on projects like DFG's Fast Fourier-based Coulomb solvers and BMBF's Qualitätspakt Lehre for teaching digitalization. Advising : Supervised Master’s and Bachelor’s theses in fast summation methods and inverse NFFT techniques

Christopher Wiebuschمشاهده پروفایل

استاد

• Particle Physics
• Astroparticle Physics
• Neutrino Astronomy
• +۱ مورد دیگر

Prof. Dr. rer. nat. Christopher Wiebusch is a University Professor at the III. Physikalisches Institut B (Experimental Physics III B) at RWTH Aachen University. His research focuses on Particle and Astroparticle Physics , with active involvement in major experiments: IceCube, Double Chooz, EnEx-RANGE, and JUNO. His work spans neutrino astronomy, dark matter searches, cosmic ray anisotropy studies, and detector development.

• Microelectronics
• Circuit Design
• Analog-to-Digital Converters
• +۳ مورد دیگر

Zhangming Zhu is a Professor at Xidian University in the School of Microelectronics . He specializes in Microelectronics and Circuit Design , with a focus on Analog-to-Digital Converters (ADCs) , CMOS Technology , and Low-Power Electronics . His work addresses challenges in high-speed, high-precision, and energy-efficient circuit design. Research Interests: His publications highlight expertise in ADCs, PLLs, energy harvesting, biomedical sensors, and RF systems. Recent Publications: 2025 papers include a 12-bit 1.5-GS/s ADC , a 5-18-GHz Quadrature Receiver , and 20-bit SAR ADC with thermal error suppression. Collaborations: Frequently co-authors with Shubin Liu, Yi Shen, Ruixue Ding, and others. Applications: Work spans consumer electronics, IoT, biomedical devices, and energy-efficient systems.

Stephan Wernerمشاهده پروفایل

پژوهشگر

• Binaural audio synthesis
• Room acoustics
• Spatial audio processing
• +۵ مورد دیگر

Stephan Werner is a researcher at the Department of Electrical Engineering and Information Technology, Technische Universität Ilmenau, leading the Electronic Media Technology Group as acting head. His work focuses on auditory perception, spatial audio processing, and binaural synthesis for augmented/virtual reality applications. Research Interests Werner's research explores spatial audio, room acoustics, and perceptual modeling. Key areas include audiovisual coherence in AR, reverberation time estimation, and auditory adaptation in immersive environments. His projects address applications in education, intergenerational communication, and human-robot interaction. Publication Trends Recent work spans acoustic modeling for AR/VR, perceptual analysis of room divergence, and privacy-preserving mixed reality systems. Collaborative efforts with institutions like IEEE and Audio Engineering Society highlight technical and societal implications of audio technology. Laboratory As head of the Electronic Media Technology Group, he leads interdisciplinary research in auditory illusions, spatial audio quality, and immersive media production, often collaborating with international conferences and technical committees.

David Zwickerمشاهده پروفایل

استادیار

• Biological Physics
• Soft Matter Physics
• Phase Separation
• +۵ مورد دیگر

David Zwicker serves as a Max Planck Research Group Leader at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he heads the Theory of Biological Fluids group. His research investigates how soft and fluid-like biological materials achieve precise spatial and temporal organization through physical principles. Dr. Zwicker's work centers on biomolecular condensates, pattern formation, and smart materials design. His group employs statistical physics, dynamical systems theory, and fluid dynamics to model biological processes including phase separation in cells, active matter systems, and nasal airflow mechanics. Current projects explore how phase transitions might enable cellular information processing and how chemical activity drives droplet self-propulsion. Recent publications (2024-2025) reveal strong focus on phase separation dynamics in biological contexts, with emerging themes in active condensates, multicomponent mixtures, and computational modeling tools. His group develops open-source software like flory for phase diagram analysis and py-pde for partial differential equations. Scientific recognition includes: ERC Starting Grant for biomolecular condensates research Dr. Zwicker leads an active research team currently comprising postdoctoral researchers Guido Kusters and Filipe Thewes (joined October 2024), with ongoing recruitment for ERC-funded projects. His group maintains strong computational focus while collaborating across physics and biology disciplines. The Theory of Biological Fluids group operates within the Max Planck Institute's Department of Fluid Dynamics, utilizing advanced modeling to bridge theoretical physics and cellular biology.

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.

Jane E. Parkerمشاهده پروفایل

استاد

• Plant Immunity
• Plant-Microbe Interactions
• Molecular Plant Pathology
• +۴ مورد دیگر

Jane E. Parker is a Professor and Research Group Leader at the Max Planck Institute for Plant Breeding Research in Cologne, Germany, where she leads the "Resistance pathway dynamics in plant immunity" research group within the Department of Plant-Microbe Interactions. She has been a Principal Investigator in the Cluster of Excellence on Plant Sciences (CEPLAS) since 2012 and maintains extensive national and international collaborations in plant immunity research. Professor Parker's research focuses on plant immunity mechanisms, particularly how plants detect invading pathogens and activate defense pathways. Her laboratory investigates TIR-domain enzymatic activities, NLR immunity, and plant-microbe interactions using approaches ranging from genetics, CRISPR-Cas9 technology, RNA-seq, ChIP-seq, to protein biochemistry and structure-function analyses. Current projects include NLR immunity decision-making, biotic stress network architectures across plant lineages, tracking immune-stimulating nucleotides, and defense metabolites impacting plant interactions with beneficial and pathogenic fungi. Her recent publications demonstrate a strong focus on the biochemical mechanisms of plant immune receptors, particularly TIR-domain proteins and NLR receptors, with applications across plant species from Arabidopsis to crops like rice and barley. This work has revealed conserved working principles while also identifying clade-specific variations in defense signaling modules. Elected as International Member of The US Academy of Sciences (NAS), 2023 Elected as Fellow of The Royal Society (FRS), 2023 Elected to Academy of Europe, 2017 Elected to EMBO, 2016 Elected to Leopoldina German National Academy of Sciences, 2013 Max-Planck Society 'C3' Independent Research Fellowship, 2004-2009 Alexander von Humboldt 'Sofja Kovaleskaja' award, 2001 Professor Parker leads an active research group with multiple postdocs, students, and technicians. She has served on numerous editorial boards including Science, Trends in Plant Science, and Current Opinion in Plant Biology. As a Principal Investigator in CEPLAS, she has coordinated plant-microbe sections and served on various grant review panels for organizations including DFG, ERC, and NSF. The Parker lab maintains state-of-the-art facilities for plant molecular genetics, biochemistry, and imaging. They collaborate extensively with structural biologists, organic chemists, and computational biologists to advance understanding of plant immune mechanisms. The lab is part of the CEPLAS research infrastructure, which includes specialized platforms for plant microbiota studies, synthetic biology, and data science.

• Human-Computer Interaction
• Virtual Reality
• Biomechanical Engineering
• +۴ مورد دیگر

Sidney S. Fels is a Professor at the University of British Columbia, affiliated with the Human Communication Technologies Lab in Vancouver. His research spans Human-Computer Interaction (HCI), Virtual Reality, Biomechanical Engineering, Speech Synthesis, and Medical Imaging. He focuses on innovative interfaces, surgical simulation, and AI-driven educational tools. Recent work includes advancements in touch interaction systems (e.g., HaloTouch), chatbot-assisted learning, and biomechanical modeling for medical applications. His research interests emphasize bridging computational models with real-world applications, particularly in healthcare and education. Notable contributions include contributions to CHI conferences, SIGGRAPH, and INTERSPEECH, showcasing work on AI ethics in learning environments, vocal tract modeling, and pervasive computing systems. Fels collaborates extensively with researchers in engineering, medicine, and computer science, reflecting his interdisciplinary approach to solving complex human-centric challenges. Labs/Teams: Human Communication Technologies Lab at UBC.

• Nanopore DNA Sequencing
• Computational Materials Science
• 2D Materials Engineering
• +۵ مورد دیگر

Maria Fyta serves as a Professor of Biotechnology at RWTH Aachen University's Faculty of Biology, leading research in the Department of Biotechnology from her lab in the Biology Building (Worringerweg 3, Aachen). Her work bridges computational physics, nanotechnology, and molecular biology to develop next-generation biosensing platforms. Her research focuses on nanopore-based DNA/protein sequencing , utilizing 2D materials (graphene, MoS 2 , h-BN) and nanodiamond functionalization for single-molecule detection. Key projects include ionic liquid catalysis systems , computational alloy design , and molecular dynamics simulations of biomolecular translocation. Recent work emphasizes machine learning integration for signal analysis and materials discovery. Analysis of her 15 most recent publications reveals dominant trends in Nanopore engineering for biomolecular sensing Computational materials design of 2D systems and alloys Machine learning applications in nanofluidics While no specific scientific awards are documented in the provided materials, her extensive publication record demonstrates significant contributions to nanotechnology and biophysics. Professor Fyta's group develops advanced simulation frameworks for biomolecular translocation and collaborates on experimental validation of nanoscale devices. Current efforts focus on enhancing read-out capabilities in functionalized nanopores and designing bio-mimetic sequencing platforms.

• Hardware Security
• Cryptographic Circuits
• Formal Methods
• +۳ مورد دیگر

Devanshi Upadhyaya is a Researcher at the Institute of Computer Architecture and Computer Engineering under the University of Stuttgart. Her work focuses on hardware security, cryptographic circuit protection, and formal methods for analyzing vulnerabilities in embedded systems. She is actively engaged in advancing secure hardware design principles through research in side-channel attacks, fault injection, and logic locking mechanisms. Her research interests include cryptographic circuit security, formal verification of hardware systems, and securing neural network accelerators. She has contributed to developing frameworks that assess vulnerabilities in mixed-signal and approximate computing architectures, emphasizing practical defenses against both software and hardware-based attacks. Notable projects include optimizing waveform accurate fault attacks and enabling power side-channel simulations for AI hardware accelerators. Her work bridges theoretical security models with real-world hardware implementation challenges. Devanshi holds a M.Sc. degree and is affiliated with the Hardware Oriented Computer Science department at the University of Stuttgart, where she collaborates on interdisciplinary projects involving cryptography, embedded systems, and machine learning hardware.

• Computational Social Science
• Data Science
• Multivariate Social Networks
• +۱۰ مورد دیگر

Termeh Shafie is a full-time Professor in the Department of Politics and Public Administration at the University of Konstanz, specializing in Computational Social Science and Data Science. With a strong statistical foundation, she develops advanced methodologies for analyzing multivariate social networks while bridging archaeological network reconstruction with modern data science techniques through projects like NEXUS 1492. Key Research Areas: Multigraph modeling, network entropy analysis, isotope geoprovenance, and hypergraph representations Projects: NEXUS 1492 archaeological network reconstruction Her 15 most recent publications demonstrate significant contributions to network methodology (random multigraph models, centrality index analysis), archaeological applications (Caribbean attack networks, Iroquoian settlement patterns), and data privacy frameworks. Articles span 2012–2025 with interdisciplinary focus on statistical sociology, archaeological theory, and computational modeling. Current teaching includes courses on social network analysis, data science, and statistical learning. Office hours available via ILIAS booking system. Contact details provided for both academic and administrative correspondence.

Tiare Feuchtnerمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Dr. Tiare Feuchtner is a Tenure-Track Assistant Professor of Human-Computer Interaction at the University of Konstanz since 2021. She previously worked as a postdoctoral researcher at the Technical University of Vienna and Aarhus University, where she coordinated the MADE Fast project. PhD: Computer Science, Aarhus University (2018), thesis: 'Designing for Hand Ownership in Interaction with Virtual and Augmented Reality' Master's: Computer Science, Berlin Institute of Technology Bachelor's: Media Informatics, Technical University of Vienna Her research focuses on Human-Computer Interaction, emphasizing embodiment and novel user interfaces for immersive cross-reality (XR) technologies. She investigates embodied user interfaces that enable direct interaction through virtual bodies ('avatars') with transformations, augmentations, and 'superpowers' via multisensory feedback. Current projects include Interoceptive Signalling in Mixed Reality and Real-Time Optimization of XR User Interfaces. Her recent articles explore hybrid input devices, haptic props for 3D manipulation, physiological feedback in collaboration, and adaptive XR interfaces. She has received awards for her work, including the Microsoft Imagine Cup (2013). She actively contributes to academic service through conference organization (e.g., AlpCHI'26, QiVC'23), program committees (CHI, ISMAR), and workshops (Women* in Computing, Hybrid User Interfaces). Her teaching includes courses on human-computer interaction, Unity, and spatially-aware interactive spaces.

Thomas Bonseمشاهده پروفایل

استاد

• Media Engineering
• Video Signal Processing
• High Dynamic Range (HDR) Imaging
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Bonse is a Professor in the field of Bildtechnik (Image Technology) at the Hochschule Düsseldorf (University of Applied Sciences Düsseldorf), Faculty of Media since 2000. His career includes roles as project leader at ITK Telekommunikation AG , group leader at the Forschungsinstitut für Telekommunikation , and R&D engineer at Grass Valley and Panasonic in the domain of advanced TV systems. Education: Diplom-Ingenieur (Dipl.-Ing.) and Doctorate (Dr.-Ing.) in Electrical Engineering from the University of Dortmund. Current Role: Teaching and research in image technology, supervising 15+ theses annually, and leading projects in HDR, broadcast workflows, and real-time video systems. His research focuses on media engineering , particularly in high dynamic range (HDR) imaging , video signal processing , and real-time broadcast systems . Key areas include: Quantisierung von Videoformaten ACES color workflow optimization Wireless video transmission AI-driven object detection IP-based broadcast infrastructures Photovoltaic soiling measurement via drones Recent research trends show emphasis on IP-based video transmission (2016-2023), HDR/SDR workflows (2021-2023), and automated studio systems (2018-2023). He has collaborated with institutions like the Institut für Rundfunktechnik (IRT) , Sportcast GmbH , and Ericsson . As a supervisor, he has guided students in: Automated camera control (Scheunert, 2020) Photovoltaic soiling detection (Mikulaschek/Scheunert, 2020) Sports broadcasting analytics (Mikulaschek, 2022) LED studio lighting systems (2023) Contact: thomas.bonse@hs-duesseldorf.de | Room 04.2.006, HSD Campus