جست‌وجوی استاد و پژوهشگر

Filippo Maria Faziمشاهده پروفایل

استاد

• 3D Audio
• Sound Field Control
• Acoustical Inverse Problems
• +۸ مورد دیگر

Professor Filippo Maria Fazi is an internationally recognized faculty member at the University of Southampton, affiliated with the Institute of Sound and Vibration Research (ISVR). He leads the Virtual Acoustics and Audio Engineering Team and serves as the ISVR's Director of Research. His work focuses on 3D audio capture and reproduction, sound field control, and acoustical inverse problems. PhD in Acoustics (ISVR, University of Southampton, 2010) MSc in Mechanical Engineering (University of Brescia, 2005) His research spans audio engineering and acoustics, emphasizing practical applications in binaural audio, microphone/loudspeaker arrays, and cross-talk cancellation. Key projects involve personalized audio systems for automotive environments and advanced sound field reconstruction technologies. Professor Fazi's recent publications highlight innovations in spatial audio algorithms, loudspeaker array optimization, and immersive sound reproduction techniques. His work bridges physical acoustics, signal processing, and psychoacoustics. Scientific Awards: Tyndall Medal (Institute of Acoustics, 2018) Fellow of the Audio Engineering Society ANC Prize for Best Paper by a Young Person (2008) ICA Young Scientist Grant (2010) He has secured significant funding from EPSRC, RAEng, and industry partners like Huawei, BBC, and ASK. His patented technologies have been commercialized via Audioscenic, a start-up he co-founded.

• Computer Vision
• Robust Estimation
• Object Tracking
• +۶ مورد دیگر

Professor Jiri Matas is a Vice Chancellor Fellow at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP). His primary research focuses on computer vision, robust estimation, and neural network applications in domains like autonomous systems, medical imaging, and audio-visual perception. He has contributed to advanced tracking algorithms, including discriminative filters and Siamese networks for object tracking, as well as methods for binaural sound processing and anomaly detection in autonomous vehicles. His academic work spans over 50 peer-reviewed publications since 2020, covering topics such as robust geometric estimation (MAGSAC++), lightweight depth estimation architectures, and AI-driven species recognition systems for fungi and plants. Notable collaborations include developing the Danish Fungi 2020 dataset and deploying citizen-science platforms for mycology. He also explores interdisciplinary applications, such as transgenerational immunity in ant colonies and audio-based vehicle monitoring systems. His grants and advising span both technical and biological domains, with labs focused on advancing perception systems in real-world conditions. Recent work emphasizes energy-efficient tracking (FEAR tracker), cross-modal learning (Binaural SoundNet), and handling prior shifts in classification tasks.

• Spatial audio
• Sound fields
• Microphone arrays
• +۳ مورد دیگر

Achilles Kappis is a Marie Sklodowska-Curie Research Fellow at the University of Southampton, affiliated with the Signal Processing Audio and Hearing Group. His research focuses on advancing spatial audio technologies through innovative microphone array configurations and virtual sensing methodologies. His core research investigates sound field analysis and reproduction using optimized microphone arrays, with particular expertise in virtual sensing techniques for diffuse sound environments. Dr. Kappis develops novel array topologies that enable remote sensing applications while minimizing hardware requirements, bridging theoretical acoustic modeling with practical implementation for active noise control systems and spatial audio reproduction. Recent publications (2024-2025) reveal a concentrated research trajectory in microphone array optimization, with increasing sophistication in handling diffuse sound fields and multi-microphone configurations. His work demonstrates consistent progression from fundamental array design to specialized applications in active noise control, showing strong interdisciplinary connections between acoustics, signal processing, and audio engineering. Dr. Kappis has been awarded the prestigious Marie Sklodowska-Curie Fellowship, recognizing his research excellence and potential for scientific leadership. This competitive EU-funded fellowship supports his current research at Southampton. Supported by the Marie Sklodowska-Curie Actions grant, Dr. Kappis conducts independent research while collaborating with Southampton's audio research community. His work involves both theoretical development and experimental validation, with potential applications spanning consumer audio, transportation noise control, and assistive hearing technologies. Within the Signal Processing Audio and Hearing Group, Dr. Kappis leads research on advanced microphone array systems for virtual sensing applications. His current projects focus on optimizing array configurations for specific acoustic challenges, particularly in environments with complex sound field characteristics where conventional approaches fail.

Anton Krynkinمشاهده پروفایل

مدرس ارشد

• Acoustic Engineering
• Wave Propagation in Elastic Media
• Structural Vibration
• +۵ مورد دیگر

Dr Anton Krynkin is a Senior Lecturer in the Mechanical Engineering academic staff at the School of Mechanical, Aerospace and Civil Engineering, University of Sheffield . He holds an MSc in Mathematics from Saratov State University and a PhD in Solid Mechanics from Brunel University. Research Interests: Wave Propagation in Elastic Media Thermoelasticity Structural Vibration Acoustic Imaging and Signal Processing Wave Scattering in Periodic/Random Media Asymptotic Techniques and Homogenisation Article Trends (2023–2025): Focus on acoustic waveguide modeling, surface reconstruction using Bayesian and statistical methods, phononic crystals, sonic metamaterials, and non-contact monitoring of turbulent flows. Collaboration with the Pennine Water Group on water pipe dynamics and flow characterization is prominent. Key Affiliations: University of Sheffield (since 2013) Pennine Water Group International conferences (INTER-NOISE, EURONOISE, ICA, ACOUSTICS) Collaborations with researchers in acoustics and fluid dynamics

Christine Eversمشاهده پروفایل

دانشیار

• Machine Listening
• Robot Audition
• Bayesian Inference
• +۳ مورد دیگر

Dr. Christine Evers is an Associate Professor in Computer Science at the University of Southampton. Her research focuses on Machine Listening, Robot Audition, and Bayesian Inference, intersecting robotics, machine learning, and acoustic signal processing. She leads the EPSRC-funded 'ActivATOR' project and collaborates on initiatives like the 'CIAT' and UKRI MINDS CDT. Previously, she held an EPSRC Fellowship at Imperial College London and worked in industry as a Senior Systems Engineer. Education: PhD in Statistical Signal Processing from the University of Edinburgh. Research Interests: Machine Listening involves developing algorithms for robots to interpret auditory environments. Robot Audition explores binaural and spherical microphone array processing. Bayesian methods underpin probabilistic approaches to acoustic scene analysis. Key Projects: Principal Investigator of ActivATOR (robotic auditory systems), Co-Investigator on CIAT (immersive audio tech), and MINDS CDT (machine intelligence for nanoelectronics). Her work integrates AI ethics, environmental monitoring, and multi-modal sensing. Advising: Supervises 9 PhD students across topics like ethical AI, underwater acoustics, and environmental data science. Active in reviewing for IEEE journals and conferences, serving on technical committees in audio signal processing. Labs/Teams: Member of the Vision, Learning & Control Agents group and the Centre for Robotics Research. Collaborates with interdisciplinary teams on autonomous systems and human-robot interaction.

Zoran Cvetkovicمشاهده پروفایل

استاد

• Digital Signal Processing
• Wavelets
• Time-Frequency Analysis
• +۹ مورد دیگر

Professor Zoran Cvetkovic is currently based at the Faculty of Natural, Mathematical & Engineering Sciences at King's College London , where he serves as Professor of Digital Signal Processing and Deputy Head of Department (Research) . He is affiliated with the Centre for Telecommunications Research , Engineering Security Hub , and Music Computing Lab . Education: PhD (University of California, Berkeley, 1995), MPhil (Columbia University, 1998), MSc (University of Belgrade, 1992), BSc (University of Belgrade, 1989) Previous Positions: Principal Member of Technical Staff at AT&T Labs (1997-2022), Research Fellow at Harvard University (2002-2003), Research Associate at EPFL (1996-1997) and UCSF (1994), Research/Teaching Assistant at University of Belgrade (1989-1992) Professor Cvetkovic's research spans signal processing theory , wavelets , time-frequency analysis , and their applications in neurophysiology , audio/spoken language technology , and biomedical systems . His recent work focuses on immersive audio technology , real-time acoustic simulation , superdirective beamforming , and multimodal speech recognition . With over 146 research outputs, his publications demonstrate expertise in machine learning for speech processing , acoustic environments , and information theory . His academic activities include organizing IEEE conferences , editorial roles at IEEE Transactions on Signal Processing , and collaborations with institutions like Stanford University , University of California, Berkeley , and SRI International . He supervises 7 research projects totaling over £3.5 million in funding from EPSRC , Leverhulme Trust , and Royal Academy of Engineering . His work contributes to UN Sustainable Development Goals related to education and technological innovation .