جست‌وجوی استاد و پژوهشگر

Dennis Kätzelمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Schizophrenia Research
• +۶ مورد دیگر

Prof. Dennis Kätzel is a Professor at the University of Ulm's Faculty of Medicine, leading the Kätzel Lab within the Department of Applied Physiology. His research focuses on unraveling the neural circuit mechanisms underlying schizophrenia, with particular emphasis on treatment-resistant cognitive and negative symptoms. The lab employs cutting-edge techniques including optogenetic/chemogenetic circuit manipulation, in vivo electrophysiology, miniscope imaging, and machine learning-based analysis of neural data. His primary research interests span neural circuit dysfunction in schizophrenia , aberrant salience attribution , cognitive deficits (working memory, attention, cognitive flexibility), and translational drug discovery . Key methodologies include multi-site LFP recordings during behavioral tasks, transgenic schizophrenia models, and behavioral pharmacology. The lab has pioneered open-source neuroscience tools such as the Open-MAC commutator and 5-choice operant box systems. Analysis of his 15 most recent publications (2021-2024) reveals a concentrated focus on anterior cingulate cortex and hippocampal circuit mechanisms in schizophrenia-related behaviors. His work consistently bridges molecular interventions (e.g., G-protein signaling modulation) with circuit-level electrophysiological outcomes and behavioral phenotypes, establishing causal links between specific neural mechanisms and symptom domains. A distinctive trend is the development and application of open-source hardware/software solutions to advance preclinical neuroscience methodology. Prof. Kätzel mentors PhD students including Sampath Kapanaiah, Lukas Bühner, and Sophie Lammerich, who contribute to projects involving neural circuit analysis, behavioral testing, and tool development. His lab actively provides public scientific resources through GitHub and Labmaker, including MATLAB scripts for connectivity analysis, hardware design files, and experimental protocols. The Kätzel Lab operates as a translational neuroscience hub within Ulm's Institute of Applied Physiology, maintaining strong collaborations with psychiatric clinicians and pharmacologists. Current work focuses on identifying circuit-level drug targets and developing biomarkers for predicting clinical efficacy of novel schizophrenia therapeutics, with particular attention to cognitive symptom domains lacking effective treatments.

• Computer Vision
• Biological Vision
• Machine Learning
• +۵ مورد دیگر

Heiko Neumann is a Professor at the University of Ulm heading the Vision and Perception Science Group, where his research investigates visual information processing mechanisms in biological and technical systems with emphasis on adaptation to dynamic environments. His work bridges neuroscience and computational approaches to advance understanding of biological vision while developing novel computational vision systems for real-world applications. Neumann's primary research spans computer vision, biological vision, machine learning, and neuromorphic engineering. He focuses on how visual systems process information and learn from changing environments, with applications in perceptual human-computer interfaces, biometric systems, automotive technologies, medical image analysis, and visually-guided robotics. His neural modeling provides insights into brain functions for visual sensory processing and behaviorally relevant tasks, driving innovations in computational vision mechanisms. Analysis of his 2023-2025 publications reveals a strong trend toward thalamo-cortical models for visual binding, deep learning for shape/motion understanding, and multimodal integration (visual-auditory). His research increasingly applies neural modeling to robotics and human-computer interaction, with growing emphasis on neuromorphic computing architectures and event-based vision systems. The work spans theoretical neuroscience and practical applications in medical imaging and autonomous systems, showing consistent integration of biological principles into artificial vision solutions. Neumann's research receives significant funding from the European Union, Bundesministerium für Bildung und Forschung (BMBF), and Deutsche Forschungsgemeinschaft (DFG). While specific advisees aren't listed in available materials, he leads an active research group with current and previous members as indicated on his institutional webpage (currently inaccessible due to 404/401 errors). He directs the Vision and Perception Science Group at the University of Ulm, conducting interdisciplinary research at the neuroscience-computer vision intersection. The group develops neural models to understand biological vision mechanisms and applies these insights to create advanced computational vision systems for applications including medical image analysis, automotive technologies, and robotics, with recent work emphasizing neuromorphic architectures and real-time visual processing.

• Visual Foraging
• Visual Attention
• Temporal-Order Perception
• +۴ مورد دیگر

Dr. Jan Tünnermann is a Research Fellow at the Philipps-Universität Marburg , affiliated with the Department of Cognitive Psychophysiology within the Faculty of Psychology. His research focuses on Visual Foraging, Temporal-Order Perception, and Artificial Visual Attention Systems , with particular emphasis on cognitive modeling and Bayesian estimation techniques. He investigates how attentional mechanisms guide human behavior in naturalistic and experimental settings, including foraging tasks, game-like experiments, and human-computer interaction scenarios. Research Interests : Visual Attention Dynamics and Template Switching Temporal-Order Judgment and Psychophysics Cognitive Models of Attentional Resource Allocation Artificial Visual Systems Inspired by Human Perception Recent work highlights attention's role in optimizing search strategies across oculomotor and manual tasks, revealing trade-offs between speed and accuracy. He collaborates on interdisciplinary projects, such as developing sensory substitution devices for visually impaired individuals and virtual cycling environments for human-in-the-loop experiments. His publications span journals like Journal of Experimental Psychology and Cognitive Computation , with a focus on advancing computational theories of visual attention. Key Contributions : Pioneering use of the Theory of Visual Attention (TVA) in real-world experiments Model-based analysis of temporal-order judgments Development of saliency detection algorithms for artificial systems No scientific awards explicitly listed, though his work has received attention for methodological innovations in attention research.

Tuan Damمشاهده پروفایل

استادیار

• Reinforcement Learning
• Sequential Decision Making
• Monte Carlo Tree Search
• +۴ مورد دیگر

Tuan Dam is an Assistant Professor at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST), focusing on the theory of Reinforcement Learning. Previously, he held a postdoctoral position at INRIA Lille, France, and completed his Ph.D. in Robotics at TU Darmstadt, Germany. His research emphasizes developing principled methods for robots in unstructured environments, with notable contributions to Monte Carlo Tree Search (MCTS) and POMDP applications. Education: Ph.D. in Robotics, TU Darmstadt (Germany), 2024 Master's in Electronics and Computer Engineering, Hanyang University (South Korea) Bachelor's in Computer Science, Vietnam Research Interests: Reinforcement Learning under uncertainty, Monte Carlo Tree Search (MCTS), POMDPs, robotics applications, and theoretical foundations of sequential decision-making. His recent work includes integrating POMDP frameworks into MCTS for robot planning tasks like Disentangling and Mikado Problems. Advising & Supervision: Co-supervised MS theses on topics like memory representations in partially observable RL and Laplacian representations for continuous MCTS Guided multiple integrated projects on MCTS benchmarking and policy search techniques Labs & Collaborations: Former affiliations include ESOS Lab (Korea), HMI Lab (Vietnam), DFKI Berlin (Germany), and Auburn University (USA). Current work focuses on advancing RL theory and its industrial applications.

Michael Friedewaldمشاهده پروفایل

پژوهشگر

• Privacy Studies
• Information Security
• Technology Assessment
• +۳ مورد دیگر

Dr. Michael Friedewald is a Researcher and Coordinator of the Business Unit Information and Communication Technologies at the Fraunhofer Institute for Systems and Innovation Research (ISI). He holds a doctoral degree from RWTH Aachen University, focusing on the intellectual and technical roots of personal computing. His work spans privacy and security technologies, surveillance systems, and innovation policy. Key projects include the PRISMS privacy assessment framework and studies on data protection in IoT ecosystems. Friedewald advises on EU policies and chairs initiatives like the Forum Privatheit und selbstbestimmtes Leben in der digitalen Welt. His research emphasizes balancing technological progress with ethical and legal safeguards. Education : Electrical Engineering, Economics, and History of Science & Technology (RWTH Aachen) Doctoral studies on personal computing history (RWTH Aachen) Research Focus : Dr. Friedewald’s expertise lies in privacy impact assessments, surveillance technologies, and governance of emerging technologies. He investigates how innovations like AI and IoT affect societal values and develops frameworks for responsible innovation. Recent work addresses challenges in deepfake detection, data-sharing ethics, and digital governance. Projects : PRISMS: Privacy and Security Mirrors for cross-border data flows EuDEco: Modeling the European Data Economy SAPIENT: Supporting fundamental rights in surveillance

Richard Membarthمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Domain-Specific Compilers
• GPU Acceleration
• +۴ مورد دیگر

Richard Membarth is an academic researcher at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Computer Science. His work focuses on high-performance computing, domain-specific compilers, and GPU acceleration. He has contributed to projects like FLOWER (dataflow compiler), Hipacc (image processing DSL), and XEngine (neural network optimization). Membarth's research bridges compiler design, parallel algorithms, and heterogeneous hardware, with applications in medical imaging, bioinformatics, and autonomous systems. Co-developer of AnyDSL framework for partial evaluation Lead in GPU acceleration for molecular dynamics (tinyMD) Specialized in compiler techniques for FPGAs and GPUs Key areas include: - Domain-specific languages (DSLs) - Parallel algorithm optimization - Medical computing pipelines - Real-time graphics rendering

Christoph Bourauelمشاهده پروفایل

استاد

• Dental Biomechanics
• Biomaterials
• Orthodontics
• +۲ مورد دیگر

Christoph Bourauel is Professor and Head of Oral Technology at the University of Bonn's Faculty of Medicine. He holds a Dr.rer.nat. in Physics from University of Bonn with interdisciplinary work on orthodontic alloys. His research focuses on theoretical and experimental dental biomechanics and biomaterials. Primary research areas include dental biomechanics, biomaterials performance, orthodontic material aging, and computational modeling of dental systems. Work frequently involves finite element analysis, mechanical testing of dental materials, and clinical applications of novel biomaterials. Recent publications demonstrate strong focus on dental implant biomechanics, advanced prosthetic materials (PEEK, zirconia), orthodontic aligner technology, and computational modeling of periodontal systems. Notable trends include 3D printing applications, biomimetic coatings, and in silico biomechanical analysis. Bourauel leads research at the Oral Technology unit within the Center for Dentistry, Oral and Maxillofacial Medicine at University Hospital Bonn. No advising relationships or scientific awards are documented in the available materials.

• Cognitive Neuroscience
• Translational Neuroscience
• Neurophysiology
• +۴ مورد دیگر

Prof. Dr. Dr. Lukas Kunz is a Professor at the Department of Epileptology, affiliated with the University Hospital Bonn, part of the University of Bonn. His research focuses on cognitive and translational neuroscience, particularly the neural mechanisms underlying spatial navigation and memory. His lab employs advanced techniques like virtual reality tasks, single-neuron recordings, and intracranial EEG in epilepsy patients to study spatial cognition. Key research areas include Alzheimer’s disease and epilepsy’s impact on neural pathways. He leads the Bonn Spatial Memory Lab, which bridges basic and clinical research to understand spatial awareness deficits in neurological conditions. His work integrates neurophysiological methods with computational modeling, investigating how spatial information is encoded and retrieved. Recent studies highlight path integration deficits in Alzheimer’s risk carriers and the role of hippocampal subfields in spatial memory. Collaborative projects with global institutions enhance translational outcomes. Awards and grants section remains empty as no specific honors were listed in the provided materials. No advisees are explicitly mentioned, but his lab’s innovative methods and interdisciplinary approach are central to his contributions. The Bonn Spatial Memory Lab actively explores clinical applications of cognitive neuroscience findings.

• Immunology
• Developmental Biology
• Macrophage Biology
• +۳ مورد دیگر

Prof. Elvira Mass is a Professor at the University of Bonn's Life & Medical Sciences Institute (LIMES). She serves as the TRA (Transdisciplinary Research Area) Speaker for 'Life and Health.' Her research focuses on the developmental biology of the innate immune system, particularly the role of macrophages in organ development, metabolic disorders, neurodegenerative diseases, and the transgenerational effects of maternal environmental exposures (e.g., maternal obesity, plastic particles). Her work integrates experimental models to investigate how macrophages influence tissue homeostasis and pathologies. Recent studies highlight mechanisms linking maternal obesity to offspring liver disease and the impact of plastic particles on immune dysfunction. Prof. Mass is also involved in translational tools like the cOmicsArt omics analysis platform. Key research areas include: Macrophage-mediated organogenesis and tissue repair Environmental programming of immune cells during fetal development Innate immune responses in metabolic and neurological diseases Collaborative projects span immunology, cardiology, and computational biology, with publications addressing macrophage diversity, stroke immunology, and genetic disorders. No scientific awards are explicitly listed, but her work is supported by institutional excellence initiatives. Her lab's findings aim to identify early interventions for lifelong immune and metabolic dysfunctions.

Tobias Langerمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Parallel and Distributed Processing
• +۳ مورد دیگر

Tobias Langer is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. His affiliation includes the Technische Fakultät and Department Informatik. He focuses on invasive computing systems, runtime support systems, and distributed architectures. Research interests include distributed systems, operating systems, parallel computing, and real-time systems. His work emphasizes runtime systems for many-core architectures, resource arbitration, and virtual shared memory solutions for MPSoCs. Recent publications explore iRTSS (invasive runtime support system) and system software for future computing architectures. His research trends address scalability, resource management, and real-time challenges in modern computing environments. No scientific awards are explicitly mentioned. He has advised multiple students on topics like OctoPOS operating system development and system monitoring units. Langer's work is affiliated with the SFB/TRR 89 Invasive Computing project and contributes to the OctoPOS kernel development. His lab is part of CS 4 at FAU, located in Room 0.041-113.

Stefan Reifمشاهده پروفایل

پژوهشگر

• Energy-Aware Systems
• Parallel Systems
• Operating Systems
• +۳ مورد دیگر

Dr.-Ing. Stefan Reif is a Researcher at the Department of Computer Science 4 (Systems Software) at Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on Energy-Aware Systems and efficient, scalable Parallel Systems, with a particular emphasis on Operating Systems, Real-Time Systems, and Network Latency optimization. He is involved in projects such as LARN (Latency- and Resilience-Aware Networking) and PAX (Power-Aware Critical Sections), funded by the German Research Foundation (DFG). His academic activities include reviewing for top conferences like EMSOFT, EuroSys, and ISORC. Teaching contributions include courses on Concurrent Systems. Supervised theses include work on energy implications of security mitigations (Meltdown/Spectre), system-call aggregation, and energy-demand estimation for neural networks. Publications highlight innovations in energy-efficient OS configurations, cross-layer pacing for edge systems, and synchronization algorithms for real-time multi-core systems. Key research tools include the NEON middleware and ANTILLAS benchmarking framework.

Gabor Drescherمشاهده پروفایل

پژوهشگر

• Operating Systems
• Parallel Computing
• Real-Time Systems
• +۴ مورد دیگر

Dr. Gabor Drescher is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. He holds a Dr.-Ing. (PhD) in Computer Science from FAU, where he has been a member of the research staff since 2012. His work focuses on operating systems for many-core architectures, real-time systems, parallel computing, and security mechanisms in distributed environments. Education: 2007–2010: Bachelor of Science in Computer Science, FAU 2010–2012: Master of Science with Honors in Computer Science, FAU 2021: Dr.-Ing. in Computer Science (PhD), FAU Research interests include: LAOS (Latency-Aware Operating Systems) Non-blocking synchronization algorithms Invasive Runtime Support Systems (iRTSS) Kernel-level security and encryption (e.g., RamCrypt) Custom OS design for many-core processors Teaching includes courses on operating systems, concurrent systems, and configurable system software engineering. He has supervised multiple student theses on topics like NUMA-aware memory distribution and kernel-level security mechanisms. His research contributes to improving the scalability and predictability of operating systems in many-core environments, with applications in embedded real-time systems and high-performance computing.

Jens Schedelمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Invasive Computing
• +۳ مورد دیگر

Jens Schedel is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg. His academic activities focus on invasive computing, distributed systems, and operating systems. He is affiliated with the Faculty of Engineering and collaborates with the ergoo group (Erlangen Research Group on Distributed Objects and Operating Systems). Education: 2010: Diploma Thesis: 'Design and implementation of a system abstraction layer for the I4Copter framework (QC_OSAL)' 2009: Study Thesis: 'Design and implementation of a distributed management and control software for projectors' Research Interests: Invasive Runtime Support Systems (iRTSS), aspect-oriented operating systems (CiAO), interdisciplinary quadrocopter projects (I4Copter), resource-aware programming, and embedded systems. His work emphasizes adaptive algorithms, parallel computing, and type-safe migration in safety-critical environments. Teaching: Taught courses (SP1/SP2) across multiple semesters (2010–2015), including FITS (Formal IT Systems) and PASST (Programming and Software Systems). Labs/Teams: Member of the ergoo group and contributes to the SFB/TRR 89 Invasive Computing project.

• Neurobiology
• Learning and Memory
• Neuronal Plasticity
• +۳ مورد دیگر

Dr. Alessio Attardo is a researcher at the Department of Cellular Neuroscience, Leibn3iz Institute for Neurobiology, leading the A-Lab which focuses on the neurobiology of learning and memory. His work integrates molecular, computational, and behavioral approaches to study neuronal plasticity in the hippocampus, a brain region critical for episodic memory. His research investigates how neuronal plasticity at both single-cell and network levels enables the brain to encode and recall information, with particular interest in stress-related influences on these mechanisms. The A-Lab is affiliated with the Master program for Integrative Neuroscience at Otto von Guericke University and utilizes advanced optical imaging and core facilities. Research in the A-Lab is generously funded, though specific grants or awards are not mentioned. The lab actively seeks interdisciplinary researchers (biology, physics, engineering) to contribute to its collaborative, international environment.

Anjo Vahldiek-Oberwagnerمشاهده پروفایل

استاد مدعو

• System Security
• Operating Systems
• Trusted Execution Environments
• +۷ مورد دیگر

Anjo Vahldiek-Oberwagner is a Research Scientist at Intel Labs and an Adjunct Lecturer at TU Munich, where he contributes to both industrial R&D and academic education in systems and security. His work bridges hardware and software security, focusing on confidential computing, in-process isolation, and secure cloud deployments. PhD in Computer Science, Max Planck Institute for Software Systems & Saarland University, 2019 B.Sc. in Applied Computer Science, Cooperative University State University Baden-Wuertemberg, 2009 His research centers on system security, particularly techniques for protecting data confidentiality and integrity at rest, in-flight, and in-memory. He explores operating systems, distributed systems, and hardware-assisted security mechanisms such as Intel MPK and SGX. His work on ERIM, HFI, Endokernel, and Graphene has advanced secure in-process isolation and trusted execution environments. He has published extensively in top venues like USENIX Security, ASPLOS, and IEEE S&P. His recent publications reflect a strong trend toward practical, deployable security solutions for modern computing environments, including secure AI/ML deployments, efficient in-process isolation, and hardware-accelerated sandboxing. Themes include memory safety, performance optimization, and real-world applicability of security primitives. Scientific awards include: Distinguished Paper Award and Internet Defense Prize, USENIX Security 2019 (ERIM) Distinguished Paper Award, ASPLOS 2023 (HFI) IEEE Micro Top Picks 2024 (HFI) Intel Hardware Security Academic Award (Honorable Mention) DARPA Riser 2022 Intel Labs Gordy Award Honorable Mention He actively mentors and serves on program committees (EuroSys, USENIX Security, ASPLOS), chairs artifact evaluation (USENIX Security, EuroSys, SC), and is an Associate Editor for ACM TOPS. He has advised no formal students listed, but collaborates widely across Intel and academia. His work is supported by Intel and DARPA, and he holds multiple patents in secure computing and TEEs. He leads research on memory-safe architectures and secure cloud deployments at Intel Labs. He is involved in several research projects, including: Secure In-Process Memory Isolation, Shielding Applications in Untrusted Clouds via SGX, Memory-Safe Hardware and Software Architecture, and Research Artifacts and Evaluation. He is also a key contributor to the Graphene Library OS and works on validation and endorsement services for confidential computing.