Find Academic Supervisors

Daniela Sammler is an Adjunct Professor at Goethe University Frankfurt and Research Group Leader of the Neurocognition of Music and Language research group at the Max Planck Institute for Empirical Aesthetics in Frankfurt/Main. She has established herself as a leading researcher at the intersection of music cognition, language processing, and neuroscience, with a particular focus on prosody, syntax, and the neural mechanisms underlying both speech and musical processing. Education 2025: Adjunct Professor, Goethe University Frankfurt/M. 2022: Venia Legendi, Goethe University Frankfurt/M. 2018: Habilitation and Venia Legendi, University of Leipzig (Topic: Intonation in speech and music) 2004-2008: Dr. rer. nat. in Psychology, University of Leipzig and MPI for Human Cognitive and Brain Sciences, Leipzig (Topic: Syntax in language and music) 1997-2004: Psychology studies at University of Leipzig and Université Louis Pasteur, Strasbourg (Diploma from Leipzig) Research Interests Daniela Sammler's research focuses on the neurocognitive foundations of music and language processing , with particular emphasis on how prosody, melody, and syntax are represented and processed in the brain. Her work explores the common neural mechanisms underlying speech and music, investigating how the brain processes intonation patterns in both domains. She has made significant contributions to understanding the dorsal and ventral pathways for prosody and the neuroanatomical overlap of syntax processing in music and language. Her research employs a variety of methodologies including fMRI, EEG, intracranial ERP studies, and behavioral experiments with both healthy participants and patient populations. She has conducted groundbreaking work on amusia and language disorders , prosodic structure building , and the neural bases of musical joint action . Analysis of her recent publications reveals a growing focus on interpersonal musical interaction, interbrain synchrony, and the cognitive mechanisms underlying collaborative music-making. Scientific Awards Gold Medal for outstanding achievements in the preservation of historic monuments in Europe (2012) Otto Hahn Medal of the Max Planck Society (2010) Otto Hahn Award of the Max Planck Society (2010) Poster Award, Organization of Human Brain Mapping (2010) Research Leadership and Grants Since 2020, Dr. Sammler has led the Neurocognition of Music and Language research group at the Max Planck Institute for Empirical Aesthetics. Prior to this, she headed the Otto Hahn Group Neural Bases of Intonation in Speech and Music at the MPI for Human Cognitive and Brain Sciences from 2013-2020, which was funded through her Otto Hahn Award. Her research has been supported by prestigious grants from the Max Planck Society and other funding bodies, enabling her to establish cutting-edge research programs at the intersection of music, language, and neuroscience. She currently leads multiple research projects including "Neural Networks for Real-Time Joint Music Performance: Piano duos in the MR-scanner" and "Cognitive drivers of interbrain synchrony during musical interaction," which investigate the complex cognitive and neural processes underlying musical collaboration. Her research group has also explored how vocal tone carries information about emotional state and speaker intention through prosody. Research Environment Dr. Sammler's research group operates within the Department of Music at the Max Planck Institute for Empirical Aesthetics in Frankfurt. Her lab employs state-of-the-art neuroimaging techniques including fMRI, EEG, and intracranial recordings to investigate the neural substrates of music and language processing. The research environment fosters interdisciplinary collaboration between neuroscientists, linguists, musicologists, and cognitive scientists, creating a rich intellectual space for exploring the complex relationships between music and language.

• Neurocognition of Music
• Neurocognition of Language
• Prosody
• +7 more

Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.

• Social Network Analysis
• Misinformation Detection
• Human Mobility Modeling
• +4 more

Prof. Dr. Alexander Carôt is a Professor of Media Informatics at Anhalt University of Applied Sciences, leading the Faculty of Computer Science and Languages as its Dean. His work bridges physics, computer science, and music, with a focus on networked music performance and low-latency audio systems. He developed the SoundJack software, enabling remote collaborative music-making, and contributed to projects like FAST-MUSIC and 5GUK trials for distributed music sessions. His research spans telemedicine applications, real-time streaming optimization, and quantum effects in telecommunications. Education: Ingenieursdiplom (2004) Doctorate in Engineering (2009) Research Interests: Prof. Carôt explores interdisciplinary fields combining technology and music. Key areas include: Real-time audio networking for live performances 5G-enabled tele-music systems Medical tele-rehabilitation using music feedback Low-latency multimedia streaming protocols Grants & Projects: Led initiatives like the FAST-MUSIC project and 5G trials, focusing on distributed music collaboration. Active in EU-funded research on telematic systems and networked audio. Labs/Teams: Directs the SoundJack development team and collaborates with industry partners on 5G infrastructure for arts and healthcare.

• Networked Music Performance
• Real-Time Audio Streaming
• Telecommunication Systems
• +3 more

Professor Axel Berndt is a faculty member at the University of Paderborn, where he is affiliated with the Musicology Seminar Detmold/Paderborn, the Center for Music, Edition, Media (ZenMEM), and the KreativInstitut.OWL. His expertise lies at the intersection of computer science and music, with a focus on music informatics and digital media applications. University of Paderborn Musicology Seminar Detmold/Paderborn Center for Music, Edition, Media (ZenMEM) KreativInstitut.OWL Dr. Berndt studied computer science with a minor in music at Otto-von-Guericke University in Magdeburg. He conducted research and teaching in music informatics at the Department of Simulation and Graphics, earning his PhD in 2011. From 2012 to 2015, he worked at the Faculty of Computer Science at Technische Universität Dresden. From 2015 to 2023, he was a member of the Center for Music and Film Informatics in Detmold. Since 2023, he has been with the University of Paderborn. Professor Berndt's research focuses on the innovative potential of music informatics, exploring how digital tools and data formats enrich creative work with sound and music. His work bridges disciplines including human-technology interaction, musicology, and application domains such as the games industry, organ building, and museum technology. He investigates how digital media enable new approaches to sound and music, even for non-experts, with particular interest in interactive systems, music performance analysis, and digital music editions. His research emphasizes the practical application of theoretical concepts through immediate interdisciplinary exchange. His recent publications demonstrate a strong focus on music technology applications, with particular emphasis on music performance markup, interactive music systems, and digital tools for musicians. A recurring theme across his work is the intersection of traditional musicology with modern computational approaches, especially in the areas of music notation, performance analysis, and digital music editions. His research spans from practical implementations like the Detmold musical Instrument Timbre Explorer (DmITE) to theoretical explorations of music performance description. Digitale Interpretationsedition project Interactive Digital Scores in Music Theatre KreativInstitut.OWL Professor Berndt is actively involved in teaching individual BA/MA projects focused on sound and music in various media contexts and application domains. His approach emphasizes hands-on experience and collaboration with institutions like the Technische Hochschule OWL and the Hochschule für Musik Detmold, as well as partnerships with industry and application domains. His work demonstrates a commitment to translating research into practical applications through immediate interdisciplinary exchange. He maintains active research collaborations that bridge academic disciplines and application domains, ensuring his work remains relevant to both theoretical advancements and practical implementations in music technology and informatics.

• Music Informatics
• Human-Technology Interaction
• Sound Processing
• +7 more

Mario Montagud Climent is a researcher at Centrum Wiskunde & Informatica (CWI) , focusing on virtual reality (VR), extended reality (XR), and multimedia systems. His work bridges network protocols, human-computer interaction, and immersive technologies. Key contributions: Multi-party holographic meetings, Edge rendering architectures, and XR quality of experience (QoE) optimization Collaborations: Sergi Fernández, Pablo César, Gianluca Cernigliaro, and other international experts in VR/XR Research spans network programmability for adaptive XR, holographic communications , and explainable AI for spatial audio analysis. Publications highlight QoE assessment and low-cost immersive solutions . Recent articles address real-time multiuser systems, neural 3D reconstruction for UAVs, and 6G federation concepts. His work integrates 5G/6G technologies with applications in cultural heritage and social VR.

• Virtual Reality
• Multimedia Systems
• Network Protocols
• +7 more

Christopher Ringhofer serves as a Researcher and PhD candidate at the Intelligent Embedded Systems department within the Faculty of Engineering and Computer Science at the University of Duisburg-Essen since April 2020. His work focuses on developing energy-efficient AI solutions for embedded platforms with current projects funded by the German Federal Ministry of Education and Research. He earned his BSc in Applied Informatics (2017) and MSc in Distributed Dependable Systems (2020) from the same institution, following three years of industry experience in IoT development at ithinx GmbH. His doctoral research centers on automated neural architecture search for signal processing on constrained devices. Ringhofer's research explores evolutionary algorithms for constructing latency-optimized neural networks targeting microcontrollers and embedded FPGAs, with primary applications in digital audio processing for studio/live environments. His work bridges hardware constraints with deep learning requirements through techniques like precomputed convolutional layers and hardware-aware NAS. He actively contributes to academic instruction through the Bachelor's course 'Embedded Systems' and specialized student projects on 'AI-based Neurosignal Processing', maintaining consistent teaching involvement since Winter Semester 2020/21. Current research projects include 'TransfAIr: Transfer Approaches for Artificial Intelligence in Industry' (since May 2024) and previous work on 'LUTNet' and 'KI-LiveS' initiatives. His technical contributions focus on the IoT Garage infrastructure and Elastic AI ecosystem development for pervasive computing environments.

• Embedded Machine Learning
• Neural Architecture Search
• Signal Processing
• +4 more

Steve Goering is a researcher at Technische Universität Ilmenau with a focus on video/image quality assessment , machine learning , and human-computer interaction . His work spans QoE modeling , AI-generated content evaluation , and VR/AR applications . Key Contributions: AVT-VQDB-UHD-1 dataset, Frankenstone toolbox, and AVrate Voyager platform. Collaborations: Alexander Raake, Rakesh Rao Ramachandra Rao, Rasmus Merten. Research Trends: Recent articles analyze AI upscaling appeal , 4K/8K HDR perception , and spatial audio in VR . His work integrates deep learning and crowdsourced evaluation . Grants & Tools: Developed open-source platforms for adaptive streaming analysis and immersive media quality assessment. No scientific awards are documented in the provided sources.

• Video Quality Assessment
• Image Processing
• Machine Learning
• +3 more

Ziye Yang is a researcher active in Speech Signal Processing and Machine Learning applications. His work focuses on advanced techniques like weighted prediction error , deep learning models , and noise reduction in audio systems. He has collaborated extensively with Jie Chen and Cédric Richard on topics including speech dereverberation and nonlinear residual echo suppression . His research spans multiple subfields including distributed speech processing , attention-based architectures , and deconvolution regularization . Recent publications (2024-2025) emphasize hybrid methods combining traditional signal processing with modern neural networks, particularly for reverberation modeling and echo suppression. Key trends in his work include Integration of data-driven priors in signal enhancement Development of plug-and-play frameworks for audio processing Application of attention mechanisms in dual-stream networks

• Speech Signal Processing
• Machine Learning
• Noise Reduction
• +3 more

Professor Jörg Ott holds the Chair for Connected Mobility at Technische Universität München (TUM) in the Faculty of Informatics since August 2015. He is also an Adjunct Professor at Aalto University, where he previously served as Professor for Networking Technology from 2005 through 2015. His academic career includes positions as Assistant Professor at Universität Bremen (1997-2005) and research staff with teaching responsibilities at TU Berlin (1992-1997). His research spans network architectures, protocol design, and networked systems , with current focus areas including network and system architectures, robust networking, mobile networked systems, adaptive real-time communication, and network measurements. He has made significant contributions to delay-tolerant networking, edge computing, and internet protocols. Professor Ott has served the networking community extensively, including as co-chair of IETF working groups (MMUSIC, SIP), co-chair of IRTF DTNRG, Treasurer of ACM SIGCOMM, Vice-chair of IEEE Comsoc TCCC, and General Co-Chair of major conferences including ACM SIGCOMM 2012, ACM MobiSys 2018, and ACM CoNEXT 2021. He is currently chair of the Steering Committee of the ACM CoNEXT conference and member of TUM Ethics Board for non-medical sciences. Best Paper Award at ACM ICN conference (2015) Best Student Paper Award at Packet Video Workshop (2012) Professor Ott has supervised numerous students and researchers, with current members of his research group including Wolfgang Wörndl, Ljubica Kärkkäinen, and Leonardo Tonetto. He has co-founded multiple technology companies including Tellique Kommunikationstechnik GmbH, Lysatiq GmbH, Spacetime Networks Oy, and NeMu Dialogue Systems Oy (callstats.io). His teaching portfolio includes courses on Connected Mobility Basics, Edge Computing and the Internet of Things, and Wireless Internet Communication.

• network architectures
• protocol design
• networked systems
• +7 more

Zikai Alex Wen is an Assistant Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. Previously, he earned his PhD from Cornell University in 2021 with a dissertation on educational video games and intelligent tutoring systems. His research bridges multiple domains including privacy-preserving technologies, educational technology, cybersecurity, and accessibility. Wen's primary research interests focus on differential privacy, educational technology for students with learning disabilities, phishing detection and prevention, and game design for accessibility. His work uniquely combines theoretical privacy foundations with practical applications in education and security. He has made significant contributions to understanding how privacy mechanisms can be effectively explained to users and how to design systems that protect sensitive data while maintaining utility. His publication record demonstrates consistent output in top venues including IEEE S&P, CHI, ASSETS, and VLDB. Recent work shows increasing focus on generative AI applications for household safety, enhanced differential privacy mechanisms, and continued innovation in educational technology for diverse learners. His research often involves interdisciplinary collaboration across computer security, human-computer interaction, and educational psychology. Wen has received recognition through publications in prestigious venues but specific awards aren't documented in the available records. His work has been supported by research grants focused on privacy technologies and educational accessibility, though specific grant details aren't provided in the source material. He maintains active collaborations with researchers worldwide, particularly with Changyu Dong, Wei Cai, and Shiri Azenkot. His research group focuses on developing practical privacy-preserving systems and accessible educational technologies, with ongoing projects exploring the intersection of AI, security, and inclusive design.

• Privacy-preserving technologies
• Educational technology
• Cybersecurity
• +5 more

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.

• Digital Watermarking
• Audio Security
• Information Forensics
• +1 more

Satnam Singh is a Professor at Newcastle University's School of Electrical and Electronic Engineering, UK. With a research career spanning over three decades from 1989 to present, Singh has established himself as a leading expert in hardware design, FPGA programming, and parallel computing systems. His research interests focus on hardware-software co-design , reconfigurable computing , and functional programming applications for hardware design. Singh has pioneered work in using functional languages like Haskell for hardware description and verification, particularly through his contributions to the Lava hardware description language. His work bridges theoretical computer science with practical hardware implementation challenges. Analysis of his publication history reveals a clear evolution from early work on formal verification and FPGA design in the 1990s, through substantial contributions to parallel programming models in the 2000s, to more recent applications of machine learning techniques in diverse domains including cheminformatics and sensory systems. His 2022-2025 publications demonstrate continued innovation in specialized processor programming, AI applications for olfactory systems, and health hazard classification using deep learning. Singh has maintained extensive collaborations throughout his career, notably with Krishna R. Pattipati (15 joint publications), Anuradha Kodali (8 publications), and David J. Greaves (5 publications), reflecting his ability to bridge theoretical computer science with practical engineering applications. His work spans multiple prestigious venues including FPGA, FCCM, ICFP, and IEEE Transactions on Systems, Man, and Cybernetics, demonstrating both theoretical depth and practical impact across computer architecture, programming languages, and applied machine learning domains.

• Hardware Design
• FPGA Programming
• Parallel Computing
• +5 more

Professor Axel Berndt holds a Professorship for Modeling of Linked Virtual Data Spaces at Paderborn University's Musicology Seminar Detmold/Paderborn through KreativInstitut.OWL since 2023. His interdisciplinary work bridges musicology, computer science, and digital media, with appointments spanning multiple institutions including OWL University of Applied Sciences, University of Music Detmold, and Technischen Universität Dresden. His research focuses on music informatics , particularly sonification (data-to-sound conversion), AI in music composition , and human-technology interaction in musical contexts. Recent projects include coral reef sonification (winning the 2025 Data Sonification Award), Mozart Deconstructions using AI, and the BMBF-funded IdiN project developing digital sheet music systems for opera theaters. Professor Berndt's publication trends reveal a consistent focus on practical applications of music technology: 2024: FlowScore (MEI streaming), Arpeggiatorum (audio-controlled MIDI), Mozart Deconstructions 2023: Sonification as artistic composition technique, Generative Art Conference publications His scientific recognition includes: Data Sonification Awards 2025 - Climate Change Category for 'The Reef' BMBF DATIpilot Funding for IdiN project (2024) As Principal Investigator for the BMBF-funded IdiN project with Deutsche Oper Berlin, Professor Berndt leads research in human-technology interaction for cultural institutions. His lab develops practical solutions like Arpeggiatorum for pipe organs and the LOSCOPe system for opera score management, with strong industry connections to the games industry, organ building, and museum technology sectors. KreativInstitut.OWL serves as his primary research hub, fostering collaborations between OWL University of Applied Sciences, Detmold University of Music, and Paderborn University. Current projects include Interface Modules for Musical XR, OCANIA networked performances, and ASCIImage Rhapsody live coding installations.

• Music Informatics
• Sonification
• Digital Media Production
• +6 more

Professor Tadeus Uhl is a faculty member at the University of Applied Sciences Flensburg in the School of Information and Communication. His research focuses on telecommunications, video quality assessment, and Quality of Service (QoS) technologies. He maintains an active research profile with numerous publications spanning from 2017 to 2024. Professor Uhl's research interests center around video quality evaluation, telecommunications technologies, and network performance analysis. His work examines cutting-edge topics including 8-bit and 10-bit MP4 coding, machine learning applications for video quality assessment, and user experience with different video resolutions (1K, 2K, and 4K). He has also conducted significant research on 5G technology, VoIP systems, and Quality of Service in IoT environments. His recent publications show a clear trend toward video quality assessment using modern machine learning techniques, with a focus on real-world streaming services like Netflix. His work bridges theoretical network performance concepts with practical applications in video streaming, cellular networks, and offshore communication systems. Professor Uhl has made substantial contributions to understanding Quality of Service parameters across various communication technologies, from traditional VoIP systems to modern IoT networks and offshore wind farm communications infrastructure. His research has been published in notable venues including IEEE conferences, the Journal of Telecommunications and Information Technology, and various scientific journals focused on telecommunications and multimedia technology.

• Video Quality Assessment
• Telecommunications
• Quality of Service (QoS)
• +5 more