جست‌وجوی استاد و پژوهشگر

• Indoor Localization
• Positioning Systems
• Acoustic Signal Processing
• +۴ مورد دیگر

Dr. Fabian Höflinger serves as a Group Leader and Researcher at the University of Freiburg's Faculty of Engineering, specifically within the Institute of Microsystems Engineering (IMTEK) under the Electrical Measurement and Testing department. He has been a research associate at the University of Freiburg since April 2010 and has led a research group focused on indoor localization systems since 2011. Dr. Höflinger completed a dual degree program in electrical engineering at DHBW Ravensburg in 2005, followed by a master's degree at Mannheim University of Applied Sciences. He earned his doctorate in 2014 with a dissertation on 'Localization systems for determining the position of people and objects indoors.' Prior to his academic career at Freiburg, he worked as a development engineer from 2007 to 2010 and gained industry experience at Junghans Feinwerktechnik during his studies, where he developed components for telemetry systems. His research primarily focuses on indoor localization technologies, with particular expertise in acoustic signal processing, positioning systems, and embedded measurement technologies. Dr. Höflinger's work spans both theoretical development and practical implementation of localization systems, with applications ranging from industrial plant supervision to respiratory monitoring. His recent publications demonstrate a strong emphasis on direction-of-arrival estimation, sparse acoustic array geometries, and Markov modeling for system safety assessment. The research trajectory shows increasing sophistication in localization algorithms while expanding into adjacent fields such as autonomous vehicle safety and biomedical sensor applications. As a group leader, Dr. Höflinger oversees research activities in indoor localization and has built a significant body of work with over 80 publications spanning more than a decade. His research group develops innovative solutions for challenging environments including through-metal communication, respiratory monitoring via body movements, and robust positioning in mixed line-of-sight and non-line-of-sight conditions. The team maintains strong industry connections and focuses on practical implementations of theoretical concepts in real-world scenarios.

Ville Pulkkiمشاهده پروفایل

استاد

• Acoustics
• Signal processing
• Audio
• +۱ مورد دیگر

Ville Pulkki serves as a Professor in the Department of Information and Communications Engineering at Aalto University, Finland, maintaining active research output evidenced by publications extending into 2025. His professional contact details include email (ville.pulkki@aalto.fi) and phone (+358505208392), confirming current institutional affiliation. His research expertise spans: Acoustics (particularly underwater and room acoustics) Signal processing for spatial audio systems Audio codec development and compression Spatial sound perception and localization Analysis of his 15 most recent publications reveals dominant research trajectories: underwater bioacoustics applications using spatial audio and 360° video for marine ecosystem monitoring; advanced spatial post-filtering techniques addressing noise reduction and source separation in complex acoustic environments; perceptually-optimized codecs for higher-order ambisonics compression; and fundamental investigations into sound localization challenges including median plane perception and standing wave interference. His work consistently bridges theoretical signal processing with practical applications in virtual reality, marine biology, and auditory perception. No scientific awards, fellowships, or major prizes are documented in the provided materials. While the source text confirms Professor Pulkki's active research status through ongoing publications, it lacks specific details regarding graduate student supervision, research grants, or laboratory leadership. His extensive publication record across diverse spatial audio domains suggests significant collaborative research activity and potential involvement in funded projects, though concrete evidence of advising relationships or grant management is absent from the available information. Similarly, no dedicated research laboratories, departmental teams, or institutional research groups under his direct leadership are mentioned in the source material, despite the technical depth of his work requiring substantial experimental infrastructure.

• 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

• Neuroethology
• Acoustic Communication
• Auditory Neuroscience
• +۳ مورد دیگر

Jona Hartling is a researcher in the Neuroethology group at the Institute for Neurobiology, Department of Biology, Faculty of Science, University of Tübingen. Her research investigates sensory mechanisms in acoustic communication, focusing on how signal properties convey species identity and how neural processing extracts signals from noisy environments. Using grasshoppers as a model system, she develops physiologically inspired computational models for species-specific song detection, transforming auditory signals through known processing stages into high-dimensional feature spaces where species-specific clusters emerge. Experimental work includes building custom microphone arrays to test signal detectability across distances and field recordings of local Orthoptera species near Tübingen. She maintains ecological observation maps and develops Python-based analytical tools, emphasizing direct interaction with natural systems alongside computational approaches.

Maham Riazمشاهده پروفایل

پژوهشگر ارشد

• Immersive Audio
• Psychoacoustic Perception
• Spatial Audio
• +۶ مورد دیگر

Maham Riaz is a Doctoral Research Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo, affiliated with the Faculty of Humanities. Her research focuses on audiovisual rhythms, motion capture, spatial audio, and psychoacoustic perception. She holds an M.Mus in Music Technology from New York University (NYU) and a B.Sc in Accounting & Finance from Lahore University of Management Sciences (LUMS). Her academic interests span immersive audio, gestural music, microphone techniques, and the intersection of music with digital animation and audiovisual media. She has received prestigious awards such as the Fulbright Scholarship and the NYU Music Tech Academic Achievement Award. Riaz’s work bridges music technology and interdisciplinary research, particularly through projects like the AMBIENT initiative. She collaborates on experimental audio setups, spatial audio recording, and interactive systems. Her contributions include advancements in soundfield microphone techniques and the analysis of human micromotion using inertial sensors. Key Projects: AMBIENT (Bodily Entrainment to Audiovisual Rhythms), Bodies in Concert Labs: RITMO Centre, fourMs Lab

Nilesh Madhuمشاهده پروفایل

استاد

• Machine Learning
• Audio & Speech Enhancement
• Automated Audio Scene Analysis
• +۴ مورد دیگر

Nilesh Madhu is a Professor for Audio and Speech Processing at Ghent University and imec, Belgium, where he leads research in the Internet Technology and Data Science Lab (IDLab). His academic journey began with a Dr.-Ing. degree (summa cum laude) from Ruhr-Universität Bochum, Germany in 2009, followed by a Marie-Curie postdoctoral fellowship at KU Leuven. Prior to his academic appointment, he served as Principal Scientist and team lead at NXP Semiconductors from 2011-2017, developing advanced audio algorithms for mobile devices. His research spans multiple domains within signal processing, with a particular focus on machine learning applications for audio and speech enhancement, automated audio scene analysis, and hearing prostheses. Professor Madhu's work bridges theoretical signal processing with practical implementations in communications, healthcare, and assistive technologies. Analysis of his recent publication record reveals a strong emphasis on deep learning approaches for speech enhancement, with particular attention to phase reconstruction, multichannel processing, and efficient model architectures. His research increasingly incorporates biomedical applications, particularly in cardiovascular monitoring using advanced sensing techniques like laser Doppler vibrometry. His laboratory work centers around the Internet Technology and Data Science Lab (IDLab) at Ghent University, where his team develops innovative signal processing algorithms with applications spanning mobile communications, hearing aids, and biomedical monitoring systems. The group maintains strong industry connections, evidenced by their focus on practical implementation constraints and real-world performance metrics.

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 .

Chin-Hui Leeمشاهده پروفایل

استاد

• Speech Recognition
• Machine Learning
• Signal Processing
• +۲ مورد دیگر

Dr. Chin-Hui Lee is a Professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering. He holds a doctorate in Electrical Engineering from the University of Washington and previously held positions at Bell Laboratories where he became a Distinguished Member of Technical Staff. His research spans speech processing, machine learning, and quantum sensing. Major research areas include deep learning approaches for speech enhancement and recognition, multimodal audio-visual systems, quantum metrology, and applications of generalized Gaussian distributions in signal processing. Recent publications reflect his interdisciplinary research, covering topics from neural network architectures for speech separation to quantum sensing techniques and clinical oncology trials. His work integrates principles from computer science, electrical engineering, and quantum physics.

James A Simmonsمشاهده پروفایل

استاد

• auditory system
• Bats
• biosonar
• +۲ مورد دیگر

James A Simmons is a Professor of Biology at Brown University with primary affiliation in the Department of Neuroscience. His research focuses on the biological sonar systems of bats, particularly the big brown bat (Eptesicus fuscus), studying how these animals process ultrasonic, frequency-modulated echolocation sounds to create neural representations of their target scenes. PhD, Princeton University (1969) MA, Princeton University (1968) BA, Lafayette College (1965) Simmons' research spans multiple dimensions of bat biosonar, including auditory system processing, target shape perception, clutter rejection mechanisms, and neural representation of acoustic environments. His work integrates neurophysiological, behavioral, and computational approaches to understand how bats create 'natural images' from neural reconstruction of target scenes. His laboratory has made significant contributions to understanding how echolocating bats overcome challenges like range ambiguity in cluttered surroundings, how they process phase information for high-resolution spatial imaging, and how they segregate ambiguous pulse-echo streams. Analysis of his recent publications reveals a strong focus on biosonar imaging mechanisms, with particular emphasis on how bats process complex acoustic environments. His work bridges neuroscience, sensory biology, and bioacoustics, with implications for biomimetic sonar systems and understanding neural computation principles. NIMH Research Scientist Development Award (Level II) Elected Fellow of the Acoustical Society of America Elected Fellow of the American Association for the Advancement of Science Silver Medal in Animal Bioacoustics, Acoustical Society of America Elected Fellow, International Society for Neuroethology Professor Simmons has mentored numerous students and collaborators who have contributed to his extensive publication record spanning over four decades. His teaching includes NEUR 0650/1065 (Biology of Hearing) and specialized courses like NEUR 1940B on Deep Learning in Neuroethology and Neuroethology. His research has been supported by various funding sources that enabled long-term investigation of bat biosonar systems, including development of sophisticated acoustic measurement systems and computational models of neural processing.

Mads Græsbøll Christensenمشاهده پروفایل

استاد

• Audio Signal Processing
• Acoustic Signal Processing
• Speech Enhancement
• +۵ مورد دیگر

Mads Græsbøll Christensen is a Full Professor and Head of the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. He has held visiting positions at Philips Research Labs, ENST, UCSB, and Columbia University. Dr. Christensen earned his M.Sc. in 2002, Ph.D. in 2005, and dr.techn. in 2022, all from Aalborg University. He is a Senior Member of IEEE, a Member of EURASIP, a Fellow of the Danish Academy of Technical Sciences, and a Villum Fellow. His research focuses on audio and acoustic signal processing , with expertise in microphone arrays, noise reduction, signal modeling, speech analysis, and spatial audio. His work spans theoretical developments to practical applications in speech enhancement, hearing technology, and medical diagnostics using voice analysis. Dr. Christensen has authored 4 books and over 300 peer-reviewed papers, with recent publications focusing on speech enhancement, Parkinson's disease detection from speech, and advanced audio processing techniques. His research shows a clear trend toward applying signal processing to real-world problems, particularly in healthcare and human-computer interaction. IEEE best paper awards Spar Nord Foundation's Research Prize Danish Independent Research Council Young Researcher's Award Statoil Prize EURASIP Early Career Award (2016) Villum Foundation Young Investigator (2012) Member of the Danish Academy of Technical Sciences (2017) Dr. Christensen has supervised 13 PhD students and secured major research grants from the Independent Research Fund Denmark, the Villum Foundation, and Innovation Fund Denmark. He has served as Chairman of the EURASIP Acoustic, Speech, and Music Processing TAC and Editor-in-Chief of the EURASIP Journal on Audio, Speech, and Music Processing. He leads the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing research with applications in healthcare, communication, and human-computer interaction.

Peter D. Lawrenceمشاهده پروفایل

استاد

• Human-Machine Interfaces
• Robotics and Control Systems
• Computer Vision
• +۴ مورد دیگر

Professor Peter D. Lawrence holds a faculty position at the University of British Columbia (UBC) within the Department of Electrical & Computer Engineering, part of the Faculty of Applied Science. He has been a Professor since 1974 and has held visiting research roles at Chalmers University of Technology (1970-1972) and MIT (1972-1974). His educational background includes a B.A.Sc. from the University of Toronto (1965), M.Sc. from the University of Saskatchewan (1967), and Ph.D. from Case Western Reserve University (1970). He is a Professional Engineer (P.Eng.) and Fellow of the Canadian Academy of Engineering (FCAE). Research interests focus on improving human-machine interfaces, sensor technologies for control systems, and medical robotics. Key areas include teleoperation of heavy machinery, vision-based control, EEG-based brain interfaces, and functional approximation methods for complex systems. Collaborations span multiple disciplines at UBC, including Mechanical Engineering, Computer Science, Mining Engineering, and Forestry, with funding from NSERC and PRECARN/IRIS. Medical Robotics: Brain-computer interfaces and ultrasound-guided surgery. Autonomous Systems: Path planning and vision-based tracking for excavators and haul trucks. Sensing Technologies: Eye-tracking, joint-angle sensors, and slip detection for mobile robots. His teaching contributions include coordinating the Project Integrated Program (PIP) for ECE students and co-developing the interdisciplinary New Venture Design course with the Sauder School of Business. He leads the RCL Lab and has authored books on real-time microcomputer systems and contributed to IEEE publications. Awards include recognition as a Fellow of the Canadian Academy of Engineering.

• Acoustics and noise control
• Dynamics, vibration and vibration control
• Signal processing
• +۳ مورد دیگر

Dr. Sipei Zhao is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney (UTS), where he has been employed since January 2021. Prior to this, he worked as a Post-doctoral Research Fellow at the Centre for Audio, Acoustics and Vibration of UTS from July 2018 to December 2020. His educational background includes a PhD in Electrical Engineering from RMIT University (2018), a Master's degree in Acoustics from Nanjing University (2015), and a Bachelor's degree in Electronics Engineering from Nanjing University (2012). Dr. Zhao's research focuses on acoustics and noise control, dynamics and vibration control, and signal processing. His work spans theoretical development and practical applications in active noise control, architectural acoustics, and machine learning for acoustic analysis. He has made significant contributions to distributed acoustic systems, neural network applications in sound field reconstruction, and innovative approaches to sound zone control. His recent publications demonstrate a strong trajectory in distributed acoustic systems, neural network applications in acoustics, and innovative approaches to sound field control and reproduction. His work combines theoretical rigor with practical implementations, often resulting in significant reductions in computational complexity while maintaining or improving performance. Best Student Paper at the 22nd International Congress on Sound and Vibration (ICSV22) in 2015 Best Paper Prize at the 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRA2016) in 2016 Best Paper Award at the 23rd International Congress on Acoustics (ICA2019) in 2019 Young Professionals Grant from the International Institute of Noise Control Engineering (I-INCE) Ford Publication Commendation Prize from RMIT University in 2017 ARC Early Career Industry Fellowship in 2024 Dr. Zhao has successfully secured multiple research grants and contracts from organizations including the Australian Research Council, NSW Environment Protection Authority, and industry partners like Noizend Pty Ltd. His research has practical applications in industrial settings, transportation, and building acoustics. He serves as a peer reviewer for prestigious journals including the Journal of Sound and Vibration and IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Israel Nelkenمشاهده پروفایل

استاد

• Auditory Neuroscience
• Neurophysiology
• Sensory Processing
• +۳ مورد دیگر

Prof. Israel Nelken is a Full Professor at the Hebrew University of Jerusalem, affiliated with the Edmond and Lily Safra Center for Brain Sciences. His research focuses on auditory neurophysiology, specifically the neural mechanisms underlying sound processing, perception-action loops, and statistical learning in audition. He has contributed significantly to understanding how the brain detects deviant sounds and encodes complex auditory information across multiple temporal and spectral scales. Affiliations: Hebrew University of Jerusalem, Edmond and Lily Safra Center for Brain Sciences Roles: Full Professor, Principal Investigator of the Israel Nelken Lab Research Interests Prof. Nelken’s work explores the transformation of sensory signals into meaningful representations in the auditory system. Key areas include: Neuronal responses to complex sounds and their behavioral relevance Stimulus-specific adaptation (SSA) and prediction error detection Integration of auditory information across cortical and subcortical regions Role of auditory cortex in rhythmic motor synchronization and statistical learning Key Contributions His studies on deviance detection in auditory cortex have advanced our understanding of mismatch negativity (MMN) and predictive coding. Recent work highlights rats’ ability to synchronize movements with auditory rhythms, challenging assumptions about species-specific musicality. He has also developed innovative tools like the Rat Interactive Foraging Facility (RIFF) to study neural-behavioral interactions in real-time. Awards & Honors Rector’s Prize for Excellence in Research and Teaching (2015) Landau Prize for Sciences and Research (2015) Michael Bruno Memorial Award (2008) ERC Advanced Grant (2013) Grants & Collaborations Recipient of prestigious grants including the ERC Advanced Grant for studying auditory processing in natural environments. Active collaborations include work on cortical dynamics in Alzheimer’s models and computational frameworks for attentional blink phenomena. Labs & Teams Leads the Israel Nelken Lab, which integrates electrophysiology, computational modeling, and behavioral experiments to dissect auditory processing. The lab collaborates widely, contributing to projects like the dense cortical microcircuit simulations for understanding surprise responses.