جست‌وجوی استاد و پژوهشگر

Jürgen Peissigمشاهده پروفایل

استاد

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +۵ مورد دیگر

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

Thushara Abhayapalaمشاهده پروفایل

استاد

• Spatial Audio
• Acoustic Signal Processing
• Wireless Communications
• +۳ مورد دیگر

Thushara Abhayapala is Professor in the ANU School of Engineering, specializing in physically-inspired signal processing. PhD from ANU (1999). Research develops novel approaches for spatial audio control, drone audition, and array signal processing. Pioneered spherical harmonic methods for microphone arrays and multizone sound reproduction. Fellow of Engineers Australia with 300+ publications. Former Director of ANU Research School of Engineering (2010-2014) and IEEE Audio Technical Committee member.

Myungin Leeمشاهده پروفایل

مدرس

• Multimodal Instrument Design
• Human-Computer Interaction (HCI)
• Machine Learning
• +۷ مورد دیگر

Myungin Lee is a Lecturer at the Department of Immersive Media Design, University of Maryland, College Park. His research focuses on designing multimodal instruments and interactive systems that integrate principles from HCI, machine learning, signal processing, and neuroscience. Key projects include NeuResonance (inter-brain synchronization feedback) and FractalBrain (EEG-based VR mindfulness tools). He has contributed to venues like ACM CHI, IEEE VIS, and NIME, and holds patents on reverberation time estimation using neural networks. Research interests span crossmodal correspondence in XR, neuro-interactive systems, and real-time audio-visual simulations. Notable collaborations include the NASA Ocean Project and AlloSphere Research Group . His work has been showcased at Ars Electronica and Getty PST 2024. Education: PhD in Media Arts & Technology (implied by dissertation, 2023) Patents: Multichannel microphone-based reverberation time estimation methods (WO2018111038A1, US10854218B2, etc.).

• Bioacoustics
• Bird Conservation
• Ecology
• +۳ مورد دیگر

Dr. Olaf Jahn is a Research Associate at the Museum of Natural History Leibniz Institute for Evolution and Biodiversity Research in Berlin, Germany. His work focuses on bioacoustic methods for biodiversity monitoring through the AMMOD project (Automated Multisensor Stations for Monitoring of Biodiversity) as part of Module 5: Automated Bioacoustic Monitoring. Research Focus: Bioacoustics, rapid detection of bird communities, ecological monitoring, and conservation biology Key Tools: Automated sound recognition systems, spectrogram analysis, temporal contextual integration algorithms His research spans tropical avian ecology in regions like Ecuador's Chocó forest while developing cutting-edge signal processing approaches for acoustic monitoring. Jahn's work bridges classical field biology with modern computational methods, creating robust tools for real-world biodiversity assessment. Through publications in journals like PLOS One, Applied Acoustics, and Expert Systems with Applications, he has advanced automated bird identification techniques using: Morphological filtering of spectrograms Temporal contextual information integration Direction of arrival estimation with microphone arrays Robust frame selection for audio parameterization Acoustic detection of endangered species

Örjan Sandredمشاهده پروفایل

استاد

• Computer-Assisted Composition
• Electro-Acoustic Music
• Rule-Based Composition
• +۳ مورد دیگر

Örjan Sandred is a Professor of Composition at the University of Manitoba's Desautels Faculty of Music, where he founded Studio FLAT for computer music research and production. He teaches composition, computer-assisted composition, and electro-acoustic music while maintaining an active international composition career. Diplomi i Komposition, Royal College of Music Stockholm MFA, Royal College of Music Stockholm Additional studies at McGill University and IRCAM (Paris) His research focuses on Computer-Assisted Composition with emphasis on rule-based systems, live electronics integration, and artificial intelligence applications. Sandred developed the Cluster Engine constraint-solving system for music composition, exploring how computers can process musical ideas through formalized rules. His work bridges acoustic instruments with digital technologies, creating innovative performance systems where musicians interact with responsive computer environments. His recent compositions demonstrate evolving trends in interactive performance systems (Tilting Points, Sketches of Shifting Landscapes), climate change expression (Footprints), and pandemic-era multimedia installations (Sonic Trails: Lockdown). These works consistently integrate live electronics with acoustic instruments through sophisticated Max/MSP patches. Scientific awards include: Guggenheim Fellowship (2022) Fellow of the Royal Society of Canada (2023) DAAD Visiting Professorship at Hochschule für Musik Detmold (2016) Manitoba Arts Council support for major commissions Sandred maintains significant international collaborations with performers and institutions worldwide. His compositions receive regular premieres across Europe, North America, and Asia through commissions from organizations like the Swedish Concert Institute and Théâtre du Châtelet in Paris. He directs Studio FLAT as a hub for computer music research while developing educational resources including his book The Musical Fundamentals of Computer Assisted Composition . Current projects include an installation collaboration with the Royal Winnipeg Ballet and conductors from Sweden/Canada, plus ongoing development of the Cluster Engine system within Max environment through MOZlib.

Thomas Jean-Hughمشاهده پروفایل

استاد

• Acoustic Imaging
• Signal Processing
• UAV Acoustic Localization
• +۷ مورد دیگر

Thomas Jean-Hugh is a Professor and Teacher-Researcher at Le Mans Université , affiliated with the Laboratoire d’Acoustique de l’Université du Mans (LAUM) , a leading research institute in acoustics in France. His role involves both teaching and active research in acoustic imaging, signal processing, and structural acoustics. Education PhD in Acoustics and Signal Processing (exact institution and year not specified in text) Research Interests Thomas Jean-Hugh’s research focuses on acoustic source localization and imaging , particularly through the use of microphone arrays , beamforming , and inverse problem solving . His work spans: Acoustic holography for non-stationary and confined sources UAV acoustic detection and tracking using sparse sensor arrays Vibro-acoustic diagnostics for automotive and naval structures Speech processing in meeting environments using distant microphone arrays Non-destructive testing using acoustic emission and imaging techniques Research Trends His recent publications (2022–2025) reveal a strong focus on machine learning-enhanced acoustic imaging , real-time UAV detection , and robust speech processing . He integrates genetic algorithms , Bayesian regularization , and circular harmonics into acoustic array processing, with applications in autonomous systems , marine biology , and automotive acoustics . Scientific Contributions Over 70 peer-reviewed publications in journals and conferences Active supervision of PhD students and postdocs in acoustics and signal processing Participation in international conferences such as Interspeech , ICSV , GRETSI , and ICA Collaborations & Labs He collaborates extensively within LAUM and with external partners including CNRS , ISCA , and international research groups. His lab work involves experimental acoustics , sensor array design , and real-time signal processing .

Jiahong Zhaoمشاهده پروفایل

مدرس

• Signal Processing
• Acoustics
• Spatial Audio
• +۲ مورد دیگر

Dr Jiahong Zhao is a Lecturer in Acoustics at the University of Southampton. His research focuses on signal processing and audio technologies. Research interests include microphone array signal processing, spatial audio, machine learning, and computer vision. Current supervisor for PhD student Yaoxiang Yu in Engineering and Environment. Contact: Jiahong.Zhao@soton.ac.uk

Johannes M. Arendمشاهده پروفایل

استادیار

• Virtual Acoustics
• Spatial Audio
• Psychoacoustics
• +۳ مورد دیگر

Johannes M. Arend serves as an Assistant Professor in the Department of Information and Communications Engineering at Aalto University, Finland. His research centers on virtual acoustics, spatial audio processing, and psychoacoustics, with significant contributions to audio engineering and hearing science applications. His primary research domains include Virtual Acoustics, Spatial Audio, Psychoacoustics, Hearing Science, Acoustics, and Audio Engineering. Leading the Technical Psychoacoustics research group, he investigates sound perception in virtual environments and develops advanced spatial audio techniques. Key methodologies involve spherical microphone array processing, head-related transfer function (HRTF) interpolation, and voice directivity analysis, with applications spanning virtual reality, hearing diagnostics, and audio reproduction systems. Analysis of his 15 most recent publications (2021-2025) reveals consistent focus on spatial audio processing and perceptual validation. Dominant themes include spatial upsampling techniques for microphone arrays (33% of articles), voice directivity modeling with phoneme-level analysis (27%), and HRTF processing for binaural rendering (20%). His work demonstrates strong interdisciplinary integration between audio signal processing, speech science, and virtual reality applications, particularly in developing perceptually validated tools for hearing assessment and spatial audio reproduction. Dr. Arend actively leads the Technical Psychoacoustics research group, directing projects on virtual acoustic environments, spatial hearing assessment, and audio reproduction technologies. His team develops innovative methods for binaural rendering and conducts perceptual studies to validate technical solutions, with recent work focusing on VR-based hearing diagnostics and spatial audio evaluation frameworks.

Rob Worleyمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Autonomous Systems
• Sensor Networks
• +۳ مورد دیگر

Dr. Rob Worley is a Research Fellow at the University of Sheffield’s School of Electrical and Electronic Engineering since 2022, following his PhD studies initiated in 2018. His research focuses on robot navigation and localization within buried pipe networks, with a particular emphasis on acoustic and visual sensing technologies. He leads the Pipebot Patrol project, advancing autonomous inspection systems for water and sewer infrastructure. His work integrates state estimation, artificial intelligence, and robotics to address challenges in feature-sparse underground environments. Worley’s research interests span robot localization algorithms, SLAM (Simultaneous Localization and Mapping), and sensor fusion, with applications to cylindrical pipe networks. His projects leverage cylindrical regularity and hybrid metric-topological models to enhance navigation accuracy. Notable contributions include acoustic echo localization using microphone arrays and visual SLAM techniques for sewer networks. He has published extensively on topics like error detection in particle filters and condition monitoring in underground pipes. Advising and grants: While no specific advisees are listed, his projects likely involve collaborative research teams. He has contributed to the Pipebots initiative since its inception, focusing on localization and sensing advancements. Labs/Teams: Active member of the University of Sheffield’s robotics research group, contributing to the development of autonomous inspection technologies for infrastructure maintenance.

• Computer Vision
• Robotics
• 3D Vision
• +۴ مورد دیگر

Sangyun Shin is a Researcher in the Department of Computer Science at the University of Oxford, supervised by Professors Niki Trigoni and Andrew Markham. His work focuses on advancing object localization systems for robotics through 3D vision technologies. He specializes in integrating multimodal sensing (e.g., RGB-D cameras, acoustic arrays) to enhance robotic perception in challenging environments. His research interests include 3D motion capture for wildlife, domain-adaptive 3D detection, and self-supervised learning for nighttime vision. He has explored applications ranging from long-range wildlife tracking to autonomous drone navigation using reinforcement learning. Recent efforts emphasize sensor fusion and neural network architectures tailored for dynamic environments. Key technical contributions include the SoundLoc3D system for 3D sound localization and the WildPose framework for wildlife motion capture. His publications span topics like acoustic neural warping fields (SPEAR), spherical point cloud segmentation, and LiDAR-based object detection for urban driving. Shin's work bridges theoretical advancements in machine learning with practical robotics applications, addressing challenges such as cross-domain adaptation and low-resource sensor setups. His research has implications for autonomous systems, environmental monitoring, and human-drone interaction interfaces.

Dale Johnsonمشاهده پروفایل

پژوهشگر ارشد

• Psychoacoustics
• Software Development
• Virtual Room Acoustics
• +۴ مورد دیگر

Dale Johnson is a Research Fellow in the Department of Computer Science at the School of Computing and Engineering , University of Huddersfield. He is affiliated with the Centre for Audio and Psychoacoustic Engineering , focusing on psychoacoustics and 3D audio technology development. Research Fellow, Department of Computer Science (2025) Member, Centre for Audio and Psychoacoustic Engineering Active in open-access audio research and software tool creation His research spans Binaural Audio , Microphone Array Optimization , and Acoustic Modeling . Publications highlight expertise in Convolutional Neural Networks for spatial audio discrimination and Impulse Response Analysis for immersive environments. He contributes to datasets like 3D Microphone Array Comparison and collaborates on international acoustic projects. Recent work (2020-2022) demonstrates a focus on improving 3D Audio Perception through Virtual Room Acoustics simulations and calibration methods. Keywords include Transfer Functions , Crosstalk Reduction , and Digital Signal Processing .

• Dynamics
• Vibration Measurement
• Acoustics
• +۶ مورد دیگر

Associate Professor Benjamin Halkon is a leading experimental dynamicist at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney , specializing in non-contact vibration measurement techniques. He directs the UTS Tech Lab Vibration Laboratory , which houses advanced systems like the Polytec PSV-500 Xtra Scanning Laser Vibrometer. His career spans academic leadership, including Deputy Head of School (Teaching & Learning) and co-chairing the Asia-Pacific Vibration Conference (2019) and Inter-Noise 2026 (Technical Chair). Education: PhD and BEng (Hons.) in Mechanical Engineering from Loughborough University Memberships: Fellow of Institution of Mechanical Engineers, Fellow of Institution of Engineers Australia Dr. Halkon's research focuses on laser Doppler vibrometry in challenging environments, with applications to defence, government, and industry . His work addresses instrument vibration correction, acoustic manipulation, and structural analysis for autonomous vehicles. He has secured over $1.6M in research grants and published >100 works with a high Field-Weighted Citation Impact (FWCI 3.20). His teaching portfolio includes coordinating key subjects like Dynamics and Control and Mechanical Vibration and Measurement , alongside leading curriculum reforms for undergraduate and postgraduate programs. Current funded projects include collaborations with SkyKraft Pty Ltd , Space Research Network , and SiteHive Pty Ltd on vibration sensors and acoustic classifiers.

Oliver Ackermann Lylloffمشاهده پروفایل

پژوهشگر

• Wind Energy
• Aeroacoustics
• Wind Tunnel Testing
• +۳ مورد دیگر

Oliver Ackermann Lylloff is a Researcher at DTU Wind and Energy Systems, Technical University of Denmark, specializing in experimental wind turbine aeroacoustics and wind tunnel testing. His work directly contributes to UN Sustainable Development Goals for affordable clean energy and climate action through advanced rotor design research. Education: PhD in Wind Energy Systems, Technical University of Denmark (2017-2021) Dr. Lylloff's research centers on experimental aeroacoustic characterization of wind turbine components using the Poul la Cour Wind Tunnel (PLCT). His expertise spans leading edge erosion analysis, vortex generator noise detection via beamforming, and Kevlar membrane acoustic properties under aerodynamic loading. He develops innovative methodologies for noise source localization and blade surface durability testing, directly addressing industry challenges in turbine noise reduction and efficiency optimization. His recent publications (2024-2025) demonstrate a cohesive research trajectory focused on experimental wind tunnel validation of aerodynamic and aeroacoustic phenomena. Key trends include the development of open-source tools like AeroAcoustics.jl, systematic studies of leading edge protection systems, and advanced beamforming techniques for noise source identification—bridging theoretical fluid dynamics with practical wind turbine design constraints. As Principal Investigator for the Sustainable and Cost Efficient Small Wind Turbine project (2025-2027), Dr. Lylloff leads a €2.1M research initiative funded by the Danish Energy Agency. His grant portfolio includes multiple collaborative projects with industry partners like Siemens Gamesa and Vestas, focusing on distributed energy solutions and blade erosion mitigation. Dr. Lylloff operates within DTU's Rotors Wind Turbine Design Division and the Poul la Cour Wind Tunnel Laboratory (PLCT), where he manages experimental campaigns using state-of-the-art microphone arrays and beamforming systems. He actively disseminates research through public datasets like the PLCT-data collections and engages in knowledge transfer via media appearances and conference organization.

• Signal Processing
• Acoustics
• Audio Engineering
• +۳ مورد دیگر

Amy Bastine is a Researcher at the School of Engineering within the ANU College of Systems & Society at the Australian National University. Her work focuses on advanced audio signal processing, acoustics, and machine learning applications in spatial audio environments. She is affiliated with the Information & Signal Processing cluster, emphasizing interdisciplinary research. Her research interests include room acoustic modeling, spatial audio capture using spherical microphone arrays, and developing neural network-based solutions for sound field analysis. She explores topics like active noise control, source localization in reverberant environments, and immersive audio technologies. Recent projects involve creating datasets for acoustic analysis and optimizing algorithms for real-world applications. Her publications from 2022-2025 highlight trends in physics-informed neural networks for sound field estimation, sparse representation techniques, and multi-channel ANC systems. These contributions aim to bridge theoretical acoustics with practical implementations in wearable devices and recording studios. No scientific awards or grants are explicitly listed in the provided texts. Her research has been applied to datasets like room impulse responses and spherical microphone array measurements. She collaborates on projects involving acoustic imaging, HRTF interpolation, and environmental noise mitigation strategies.

Florian Grondمشاهده پروفایل

استادیار

• Spatial and Immersive Audio
• Assistive Technology Design
• Critical Disability Studies
• +۶ مورد دیگر

Florian Grond is an Assistant Professor in the Department of Design and Computation Arts within Concordia University's Faculty of Fine Arts. His interdisciplinary work bridges media arts, technology, and disability studies through innovative sonic research. His research focuses on Spatial and Immersive Audio , Assistive Technology Design , and Critical Disability Studies , with significant contributions to auditory display, human-computer interaction, and participatory design methodologies. Grond develops technologies that center disability perspectives, particularly through collaborations with blind scholars and autistic individuals. His publication trends reveal strong specialization in 3D sound recording techniques using Ambisonic microphone arrays Biomusic systems for autism intervention Ethical frameworks for disability technology Artistic sonification practices with recent work advancing brain-computer interfaces and spatial audio reproduction. Grond actively engages in artistic practice through installations like DELAY (collaborating with Mary Sherman and Piet Devos) and has curated disability-focused exhibitions including Hands On! at Concordia's Critical Disability Studies Working Group. His academic trajectory includes postdoctoral research at McGill University's CIRMMT and Shared Reality Lab, where he pioneered 6-degrees-of-freedom sound recording systems. He previously served as research lead for ZYLIA, a VR/AR microphone array company.