جستجوی استاد راهنمای دانشگاهی

Jacques Kleinمشاهده پروفایل

استاد

• Software Engineering
• Software Security
• Program Analysis
• +۶ مورد دیگر

Prof. Dr. Jacques Klein is a Chief Scientist (Full Professor) and Co-head of the TruX Research Group at the SnT Centre (Security and Trust Centre) of the University of Luxembourg. With a career spanning over 15 years at the university, he has progressed from Research Scientist (2010-2015) to Senior Research Scientist (2015-2019), Associate Professor (2019-2022), and finally to Full Professor in 2023. His research focuses on three main areas: program analysis applied to mobile security, software debugging (particularly bug localization and program repair), and NLP/AI for software engineering. He has supervised numerous PhD students and has acquired over 5 million euros in research funding through projects from the Luxembourg Research Agency, European Commission, and industrial partnerships. Prof. Klein is an active member of the software engineering research community, serving as General Co-Chair of ASE 2023 and MobileSoft 2025, and as a steering committee member for ISSTA, ASE, and MobileSoft. He is also an Editorial Board Member of the Springer Empirical Software Engineering Journal since 2021. His recent publications demonstrate a strong focus on applying AI and machine learning techniques to software security challenges, particularly in the Android ecosystem, with significant contributions to malware detection, code analysis, and privacy compliance. His work has been recognized with multiple prestigious awards including the ICSE 10-year most influential paper award and the PLDI Most Influential Paper Award. Member of the Institut Grand-Ducal - Section des Sciences (since June 2024) Principal Investigator on numerous research projects Extensive service on program committees for major software engineering conferences He teaches courses on static program analysis, software vulnerabilities, and security analysis at the Master's level, and has made significant contributions to the Android research community through the AndroZoo dataset containing over 24 million Android applications.

Alexander von Hoffmannمشاهده پروفایل

استاد

• Human-Machine Interaction
• Lighting Technology
• Sound Design
• +۵ مورد دیگر

Prof. Dr.-Ing. Alexander von Hoffmann is a Professor at Nuremberg Technical University (Technische Hochschule Nürnberg) affiliated with the Faculty of Electrical Engineering, Precision Engineering and Information Technology and the Ohm User Experience Center (Ohm-UX). His work focuses on the intersection of human-machine interaction, lighting, and sound technologies, with applications primarily in automotive contexts and digital media. Prof. von Hoffmann completed his doctorate on adaptive vehicle headlights before working in lighting development for an automobile manufacturer. Since 2006, he has taught at Nuremberg Technical University and received research funding through the Bavarian High-Tech Agenda 2021 for his work on "Light and Sound as Human-Machine Interaction in Vehicles." His research spans several key areas in human-computer interaction. At the Ohm User Experience Center and his laboratory for mechatronic human-machine interfaces, he develops multimodal interaction concepts that utilize light and sound for intuitive communication. A significant focus is on AI-generated affective audio signals and adaptive light systems to improve transparency and acceptance of automated decisions. His work also includes sound design in digital games for enhanced user experience and AI-based acoustic fault detection for mechatronic components. Prof. von Hoffmann's recent publications demonstrate a strong focus on human-machine interfaces, particularly in automotive contexts. His work spans video technology, sound design, lighting systems, and UX research. Key trends include the application of AI in affective sound generation, multimodal interaction design, and technical implementation of human-centered systems across media, mobility, and industrial applications. His notable recognition includes: NERGIE Promotional Award 2009 for LED Street Lighting Prof. von Hoffmann is an active member of the German Society for Acoustics (DEGA) and contributes to the "Best Minds" campaign of the Bavarian State Government as part of the High-Tech Agenda Bavaria. His teaching approach combines technical depth with creative practice, emphasizing understandable, interactive knowledge transfer with a focus on future applications in media, mobility, and industry. He leads research at the Ohm User Experience Center (Ohm-UX), which serves as a hub for interdisciplinary collaboration on human-centered technology design. His laboratory for mechatronic human-machine interfaces develops innovative solutions that bridge the gap between technical capabilities and user needs, particularly in automotive contexts where safety and intuitive interaction are paramount.

• Telecommunication
• Signal Processing
• Information Technology
• +۳ مورد دیگر

Prof. Thomas Sikora holds the position of Professor at the Department of Communication Systems, Technische Universität Berlin. His role includes the FGL Strukturprofessur, emphasizing structural academic leadership. He is based at the Elektrotechnische Institute, Neubau (E-N) building in room E-N 302, with contact details available via phone (+49 30 314-25799) and email. Though specific research interests are not detailed in the text, his affiliation with Communication Systems suggests expertise in telecommunications, signal processing, and multimedia systems. No listed publications, grants, or student advisories are provided in the current data. His professional activities likely align with the university's focus on engineering and technology innovation for societal benefit, as highlighted in the TU Berlin mission statement.

Jan Clemensمشاهده پروفایل

پژوهشگر

• Neural Computation
• Behavioral Neuroscience
• Sensory Processing
• +۳ مورد دیگر

Jan Clemens is a Researcher and Group Leader of the Emmy-Noether group at the European Neuroscience Institute (ENI), affiliated with Georg-August-University Göttingen. He leads the 'Neural Computation and Behavior' group, focusing on how acoustic communication signals drive animal behavior. His work combines experimental and computational approaches to study neural mechanisms in insects like Drosophila and crickets. Education : PhD in Computational Neuroscience, Humboldt University of Berlin (2012) Postdoctoral Fellow, Princeton University (2012–2017) Research Interests : Acoustic signal processing in sensory systems Neural circuits underlying behavior Genetic and computational tools for neural analysis His lab investigates how sensory information is encoded and transformed into behavioral outputs, using techniques like optogenetics, electrophysiology, and deep learning. Lab & Tools : The lab develops open-source tools like DAS (Deep Audio Segmenter) for acoustic signal analysis and collaborates on projects involving behavioral neuroscience and neuroethology.

Christian Rohlfingمشاهده پروفایل

پژوهشگر

• Signal Processing
• Data Compression
• Audio Source Separation
• +۳ مورد دیگر

Dr.-Ing. Christian Rohlfing is a Researcher at the Institute of Communications Engineering , RWTH Aachen University . His work spans genomic data compression , audio source separation , and video coding . Rohlfing’s research focuses on efficient genomic sequence compression using entropy coding, context-based methods, and standardization within MPEG-G . He also advances point cloud compression via graph transforms and adaptive entropy coding, and audio/video coding with non-negative matrix factorization (NMF), dictionary learning, and convolutional neural networks (CNNs). His publications (2011–2023) reflect expertise in signal processing for multimedia and bioinformatics , with applications in spatial audio coding , informed source separation , and gene variation compression . Rohlfing contributes to international standards like ITU-T and ISO/IEC MPEG , particularly in Versatile Video Coding (VVC) and MPEG-G for genomic data.

Renzheng Shiمشاهده پروفایل

پژوهشگر

• Speech Coding
• Machine Learning
• Audio Signal Processing
• +۳ مورد دیگر

Renzheng Shi is a Researcher at the Institute of Communications Engineering within the Faculty of Electrical Engineering, Information Technology, Physics at Braunschweig University of Technology, specializing in signal processing and machine learning applications for speech and audio systems. His academic background includes: Master of Science in Signal and Information Processing from Xidian University, China (2016-2019) Bachelor of Science in Internet of Things from Jiangnan University, China (2012-2016) Shi's research centers on neural network-based speech coding, with emphasis on high-fidelity audio reconstruction using generative models. His work bridges traditional signal processing with deep learning techniques, particularly exploring generative adversarial networks (GANs) and latent space representations for speech enhancement. Current projects focus on developing efficient neural codecs that improve transmission quality while reducing computational complexity, directly addressing limitations in modern communication technologies like video conferencing and streaming services. As part of the Signal Processing and Machine Learning department, Shi collaborates on cutting-edge research that integrates machine learning methodologies into audio coding frameworks. His supervisory role in master's theses demonstrates active contribution to academic training, with recent work targeting publishable advancements in neural audio codec architectures.

Michael Rohsمشاهده پروفایل

استاد

• Mobile Human-Computer Interaction
• Pervasive Computing
• Wearable Computing
• +۶ مورد دیگر

Michael Rohs is a full Professor of Human-Computer Interaction at the Leibniz University Hannover , Germany, within the Faculty of Electrical Engineering and Computer Science and the Institute of Practical Computer Science . Since 1 July 2012 he has led the Human-Computer Interaction research group, while also serving in numerous governance roles such as chair of the computer-science examination board, managing director of his research group, and elected representative of professors on the faculty council and study commission. Education & Career Path 1994–2000: Computer-science studies at Technische Universität Darmstadt & University of Colorado at Boulder 2000–2005: PhD candidate and research assistant, ETH Zürich 2005: Doctorate (Dr. sc. ETH Zürich) 2005–2010: Senior Research Scientist, Deutsche Telekom Laboratories (TU Berlin) 2007–2008: Visiting Professor for User Interface Engineering, Bonn-Aachen Int’l Center for IT (B-IT), University of Bonn & Fraunhofer IAIS 2010–2012: Junior Professor for Media Informatics, Ludwig-Maximilians-Universität München since 2012: Professor for Human-Computer Interaction, Leibniz University Hannover Research Focus Michael Rohs’ research lies at the intersection of mobile human-computer interaction , pervasive computing and wearable technologies . He explores novel interaction techniques for mobile and wearable devices , leveraging computer vision , sensor fusion , and haptic feedback to create seamless, context-aware user experiences. A particular emphasis is placed on integrating physical and virtual resources in users’ environments, enabling richer interactions that extend beyond the screen. His recent work delves into on-skin wearables , electrotactile and vibrotactile feedback , smartwatch interaction paradigms , and assistive technologies for visually impaired users . By combining rapid prototyping , electrical muscle stimulation (EMS) , 3D printing , and augmented-reality audio , his group investigates how subtle, always-available interfaces can support daily activities ranging from navigation to knowledge work. Publication Trends Across more than 100 peer-reviewed papers (2008–2024), a clear trend emerges: early work focused on mobile device input techniques (magic lenses, tilt & pressure input, around-device interaction), evolving toward wearable and on-body systems that integrate haptics , computer vision and machine learning . Recent publications emphasize health & well-being applications (proactive voice assistants for knowledge workers, cycling navigation aids), accessibility (tactile navigation aids, AR object recognition), and novel materials & fabrication (gold-plated 3-D printed on-skin devices). Venues include ACM MobileHCI, CHI, UIST, IMWUT, TOCHI, DIS, and specialized workshops on pervasive and ubiquitous computing. Scientific Awards & Honors No specific awards explicitly listed in the provided text. Funding, Labs & Teams Prof. Rohs heads the Human-Computer Interaction group at Leibniz University Hannover. While exact grant details are not reproduced here, the extensive publication record at top-tier venues indicates sustained funding from national (DFG, BMBF) and European sources, as well as industry partnerships (e.g., Deutsche Telekom Laboratories). The group maintains well-equipped labs for rapid prototyping (3-D printing, electronics), haptics & EMS experimentation , and mobile & wearable device evaluation . Regular collaboration with PhD, master’s and bachelor’s students is evident from co-authorship patterns, though individual student names are not itemized in the supplied text.

• Cognitive Neuroscience
• Multisensory Perception
• Neural Oscillations
• +۳ مورد دیگر

Prof. Dr. Christoph Kayser is a Professor and Chair for Cognitive Neuroscience at the Faculty of Biology, University of Bielefeld, Germany. He also holds positions at the Center for Cognitive Interaction Technology (CITEC) as both a Participating Research Group member in Cognitive Neuroscience and as a Board member of CITEC. His research is situated at the intersection of cognitive neuroscience, multisensory integration, and neural mechanisms of perception. His primary research interests include multisensory perception and integration in the brain, perceptual decision making, neural oscillations and their role in cognition, auditory perception and the function of auditory cortex, and mathematical tools in neuroscience. His work bridges theoretical approaches with empirical neuroscience, focusing on how the brain integrates information from multiple sensory modalities to form coherent perceptions and guide behavior. Analysis of his recent publications reveals a consistent focus on multisensory integration mechanisms, particularly examining how visual, auditory, and other sensory inputs are combined in the brain. His research demonstrates increasing interest in respiratory-brain interactions, the role of neural oscillations in perceptual processes, and the development of computational models to explain multisensory phenomena. Notably, his work spans both fundamental research on neural mechanisms and applied research in areas like auditory rehabilitation following cochlear implantation. Fellow of the Royal Society of Biology, FRSB (2016) Attempto Prize of the University of Tübingen (2009) Otto Hahn Medal of the Max Planck Society (2007) PhD Fellowship Neuroscience Center Zurich (2001) Professor Kayser serves as a reviewing editor for 'The Journal of Neuroscience' since 2015. His academic career shows a trajectory from research positions at the Max Planck Institute and ETH Zurich to professorial roles at the University of Glasgow and currently at Bielefeld. His research is supported through the Center for Cognitive Interaction Technology (CITEC), one of the Central Academic Institutes at Bielefeld University, which promotes interdisciplinary research on cognitive systems. His laboratory work focuses on neural mechanisms of multisensory perception, utilizing approaches including EEG/MEG, behavioral experiments, and computational modeling. The research group is part of the Socio-Technical World strategic research area at Bielefeld University, which explores capabilities and mechanisms that enable agents such as humans, robots, and AI to operate, communicate, and learn in complex environments.

• Multimodal Generative AI
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Vicky Kalogeiton is a Professor in AI at École Polytechnique's Computer Science Laboratory (LIX) and leads the VISTA team. As an ELLIS member, her research focuses on multimodal generative AI with applications in medical imaging, efficient generation, and structured output modeling. She actively publishes in top venues like CVPR, ICCV, and IJCV, and supports Slow/ Open Science principles. PhD from University of Edinburgh and INRIA Grenoble Habilitation (HDR) from École Polytechnique 2024 Hi!Paris Chaire and multiple grants (ANR, Microsoft, DIM RFSI) Her recent work explores diffusion models for visual geolocation (Around the World in 80 Timesteps), camera motion control (AKiRa & E.T. dataset), and multimodal humor detection (FunnyNet-W). She pioneered coherence-aware training frameworks and cinematic trajectory analysis methods. Scientific recognition includes CVPR 2024 Highlight paper ACCV 2022 Student Honorable Mention ICCV-W 2021 Best Paper Award Outstanding Reviewer Awards (CVPR, ICCV, ECCV) She supervises current PhD candidates and has mentored numerous students across institutions like MBZUAI, Inria, and Telecom Paris. Her teaching includes Advanced Deep Learning and Computer Vision courses at École Polytechnique.

• Computer Security
• Machine Learning
• Hardware Design
• +۶ مورد دیگر

Farinaz Koushanfar is a Professor at the University of California, San Diego (UCSD), with a former affiliation at the University of California, Berkeley. Her research focuses on advancing security, machine learning, and hardware design through interdisciplinary approaches. Key areas include adversarial defense mechanisms, cryptographic systems, federated learning, and zero-knowledge proofs. She has collaborated extensively with institutions and researchers globally, contributing to over 360 publications. Her work emphasizes practical security solutions, such as watermarking for intellectual property protection and methods to counteract adversarial attacks in neural networks. Recent trends in her publications highlight innovations in cache compression, robust watermarking for large language models, and securing wireless communication systems against modality-agnostic attacks. Collaborations with industry and academia underscore her commitment to real-world applications of theoretical advancements. Awards and grants are not explicitly listed here, but her prolific publication record and leadership in high-impact projects indicate significant recognition in her field. Advising and mentoring students and junior researchers are central to her academic contributions, though specific student names are not detailed in the provided text. Her lab’s work often intersects with emerging technologies like blockchain, edge computing, and privacy-preserving machine learning.

Michael Arnoldمشاهده پروفایل

استاد

• Digital Watermarking
• Audio Security
• Information Forensics
• +۱ مورد دیگر

Michael Arnold is Professor of Business Informatics, specializing in Algorithmics and Software Development at Leibniz University of Applied Sciences. His research centers on digital watermarking, multimedia security, and information forensics, with extensive publications in IEEE Transactions and major security conferences. Professor Arnold's innovations include phase-based audio watermarking techniques robust to acoustic transmission and methods for evaluating watermark attacks. His seminal work established foundational approaches for protecting digital audio through quantization and modulation techniques. He has contributed to standardization efforts through benchmark comparisons and developed security frameworks adopted in copyright protection systems. His book 'Techniques and Applications of Digital Watermarking and Content Protection' remains a key reference in multimedia security.

Steffen Lepaمشاهده پروفایل

مدرس

• Media Reception Studies
• Sound and Music Perception
• Digital Media Transformation
• +۲ مورد دیگر

Dr. Steffen Lepa is a Post-Doc Researcher and Lecturer at TU Berlin's Audiocommunication department, where he leads the Computational Musicology team. His research examines media reception patterns, sound perception, and digital transformation of music culture using empirical and computational methods. Lepa's work bridges media studies and acoustics, with current projects investigating how audio technologies shape musical experiences. His recent publications focus on cross-cultural soundscape analysis, digital music platforms, and accessible music technologies for special education. Recent articles demonstrate consistent focus on perceptual validation of audio technologies across different cultural contexts and user groups. Methodological innovations include development of research tools like Spotivey for integrating streaming data with behavioral studies.

Eamonn Bellمشاهده پروفایل

استادیار

• Digital Humanities
• History of Computing
• Digital Musicology
• +۴ مورد دیگر

Eamonn Bell is an Assistant Professor in the Department of Computer Science at Durham University, specializing in digital humanities with a focus on the history of digital audio media, particularly the CD format and early computational applications in music studies. He holds a PhD in Music Theory from Columbia University (2019), where he completed his dissertation on 'The Computational Attitude in Music Theory' under Joseph Dubiel, and previously earned a joint honors degree in Mathematics and Music from Trinity College Dublin (2013). His research interests span digital humanities, media archaeology, and the intersection of computing history with musicology. Bell has conducted significant research on the CDLink platform developed by The Voyager Company, exploring how early web technologies enabled time-synchronized interactions with audio CDs. His scholarly work examines the historical development of digital audio formats, particularly the Compact Disc, and their cultural implications. Bell's publications reveal a consistent focus on the materiality of digital media, particularly how the CD format transformed music consumption and production. His research analyzes the technical specifications of CD encoding (including interleaving and error correction), the historical context of CD adoption, and the cultural narratives surrounding digital audio. He has also written extensively about AI's relationship to musical knowledge and creativity, situating contemporary discourse within historical contexts of computational approaches to music. Government of Ireland Postdoctoral Fellowship (2019) for 'Opening the 'Red Book': The digital Audio CD format from the viewpoint between musicology and media studies' Research funded by UK Research and Innovation (UKRI) and the Irish Research Council Bell maintains an active scholarly presence through his personal website and academic publications, contributing to ongoing conversations about digital preservation, media archaeology, and the historical understanding of contemporary digital music practices. His work bridges technical understanding of media formats with critical cultural analysis.

Georg Kellerمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Neuropharmacology
• +۳ مورد دیگر

Georg Keller is a Senior Group Leader at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel, Switzerland. His research focuses on understanding the neuronal mechanisms underlying conscious perception and psychiatric disorders, particularly exploring how antipsychotic and antidepressant medications affect cortical activity. He leads a laboratory investigating the circuit basis of perception and how these circuits dysregulate in disease. Education: PhD (2009) from the Institute of Neuroinformatics, University of Zurich/ETH Zurich. Previous positions include Postdoctoral Fellow at the Max Planck Institute of Neurobiology and Junior Group Leader at FMI (2012–2017). Research interests include consciousness, psychiatric treatments, predictive processing, and cortical circuit dynamics. Notable awards include ERC Consolidator and Starting Grants, and the Human Frontier Science Program Career Development Award. Key publications span topics like antipsychotic drug effects on cortical layers, prediction error signaling in the locus coeruleus, and molecularly targetable cell types in visual cortex. His team includes PhD students, postdocs, and technical associates, contributing to ongoing studies of neuronal circuits and psychiatric drug mechanisms. Labs/Teams: Active in the FMI’s Neurobiology research group, collaborating with international partners. His work integrates experimental neuroscience and computational modeling to bridge gaps in understanding therapeutic drug actions.

• Cloud Computing
• Blockchain Technology
• Data Security
• +۵ مورد دیگر

Xiaojun Zhang is a Professor actively contributing to cloud computing, blockchain technology, data security, and educational technology. His work spans cybersecurity, signal processing, and wireless systems. Key Research Areas: Privacy-preserving data aggregation, machine learning for biomedical imaging, blockchain-based integrity auditing, and educational metacognition studies. Recent Article Trends (2022–2025): Focus on secure federated learning, data denoising algorithms, and blockchain applications in smart grids, healthcare, and education. Collaborations include institutions in China and international researchers.