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Jacek StefańskiView profile

Professor

• Digital Radio Communication Systems
• Adaptive Reception Techniques
• Error Protection in Radio Channels
• +6 more

Prof. Jacek Stefański is a distinguished academic serving as Dean of the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology since 2020. He holds a professorship (awarded in 2020) and has held various academic roles, including Vice-Dean for Organizational Studies (2016–2020) and Head of the Department of Radio Communication Systems and Networks (2018–2020). His research focuses on digital radio communication systems, adaptive reception techniques, radiolocation, and asynchronous localization methods. Education: He earned his Ph.D. (2000) and habilitation (2012) at Gdańsk University of Technology, and became a full professor in 2020. His academic career spans roles from research assistant (1993–2001) to his current dean position. Research Interests: His work emphasizes asynchronous wireless localization (e.g., ATDOA method), radiolocation systems, and wireless monitoring technologies. He has contributed to projects like the AEGIR system for ground-based radiolocation and the ARPOL mobile measuring station. Publications: Over 230 publications, with recent work focusing on hybrid localization systems, IoT sensor networks, and SDR-based solutions. His research bridges theoretical advancements and practical applications in radio communication and navigation. Awards: Golden Cyborg Award (2023) Silver Medal for Long Service (2018) Gold Medal in Poznań International Fair (2010) Advising & Grants: Extensive supervision of academic projects and involvement in funded research on radiolocation, environmental monitoring, and wireless systems. Labs/Teams: Leads research teams in radio communication systems, radiolocation, and IoT applications, leveraging Gdańsk Tech’s infrastructure for hands-on experimentation and simulation.

• FPGA Design
• Acoustic Engineering
• IoT Security
• +4 more

Laurent Segers is a Postdoctoral Researcher at the Vrije Universiteit Brussel , affiliated with the Electronics and Informatics (ETRO) department within the Faculty of Engineering Technology. His research focuses on FPGA-based systems, acoustic engineering, IoT security, and environmental monitoring. He has contributed to projects such as the AMIVU Acoustic Map Imaging Dataset and developed novel techniques for secure edge computing, acoustic super-resolution, and LED lighting's ecological impact. Key research areas include FPGA architecture optimization, hardware-assisted security mechanisms, and acoustic signal processing for localization systems. Segers has presented at conferences including ARC 2024 and IEEE events, and his work spans 24 publications with notable contributions in Sensors and Future Internet . Publications: 24 research outputs (2014–2025) with 193 citations and an h-index of 8 Collaborations: International partnerships in acoustic imaging, IoT security, and environmental engineering His recent work emphasizes secure TinyML on edge devices and trustworthy environmental monitoring systems, addressing challenges in hardware-software co-design and real-time processing.

Reinhold Häb-UmbachView profile

Professor

• Statistical Signal Processing
• Machine Learning
• Speech Processing
• +7 more

Reinhold Häb-Umbach is a distinguished Professor in the Communications Engineering Department at the University of Paderborn, leading the Heinz Nixdorf Institute's Speech and Communications group. His work spans statistical signal processing and machine learning for speech and audio applications , with a focus on robustness and real-world deployment. His research integrates probabilistic models with deep learning , addressing challenges in speech separation , noise suppression , and acoustic distance estimation . Recent projects include WestAI , SAIL , and TRR 318 , emphasizing AI-driven solutions for sociotechnical systems. 2020: IEEE Fellow 2015: ISCA Fellow 2021-2023: ISCA Distinguished Lecturer Over 300 peer-reviewed publications He has received multiple best student paper awards at venues like IWAENC , Interspeech , and ASRU , and has contributed to 15 competitive DFG grants . His leadership roles include Technical Program Committee Chair for Interspeech 2024 and editorial roles in IEEE journals.

• Acoustics
• Biomedical Technologies
• Signal Processing
• +6 more

Nicolas Quaegebeur is an Associate Professor at the Department of Mechanical Engineering, Université de Sherbrooke, Canada. His research focuses on acoustics, biomedical technologies, signal processing, mechatronics, and non-destructive testing (NDT). He leads the Robotics Engineering Program and directs the Plateforme d'Instrumentation Mécanique de l'Université de Sherbrooke (PIMUS). Quaegebeur's work spans ultrasound applications in medical imaging, structural health monitoring, and industrial NDT. He develops advanced ultrasound transducer arrays, real-time imaging systems, and acoustic cameras for noise source localization. His projects integrate machine learning, guided wave propagation, and multi-physics data analysis. His research has produced 15+ recent publications in journals like NDT & E International , Journal of Neuroimaging , and Ultrasonics . These articles highlight applications in stroke diagnosis, composite material testing, and 3D medical imaging. He collaborates with institutions in France (Université de Bordeaux, Université de Lyon) and co-supervises PhD students. Honors include international mobility grants from France’s DGA, Best Poster/Paper awards from the Canadian Institute for NDE, and recognition at Acoustics Week Canada. He has secured over $1.5M in grants from NSERC, FRQNT, and industry partners like Pfizer Canada. Quaegebeur contributes to international conferences (IEEE IUS, SPIE, Acoustical Society of America) and holds patents in ultrasound NDT systems, active acoustic mapping, and structural condition monitoring. His team partners with LAFCUS (France) and maintains technical workshops like CRASH-UdeS Research Day.

Dmitry ZotkinView profile

Adjunct Associate Professor

• Spatial Audio
• Audio Signal Processing
• Microphone Arrays
• +3 more

Dmitry Zotkin serves as an Adjunct Associate Professor at the University of Maryland Institute for Advanced Computer Studies (UMIACS), affiliated with the Center for Automation Research. His research centers on computational audio, with primary expertise in spatial audio capture and reproduction systems. He investigates advanced microphone array configurations, auditory scene analysis techniques, and efficient numerical solvers for acoustic wave propagation. His work bridges theoretical acoustics with practical signal processing applications in immersive audio environments. Zotkin maintains active research operations from his office in the Iribe Center (4218) with contactable phone line (301) 405-1049, focusing on advancing spatial audio technologies through computational methods.

• Signal Processing
• Machine Learning
• Acoustic Sensor Arrays
• +3 more

Jan Lundgren serves as a Professor in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, specializing in signal processing and AI-driven sensor systems. His research spans acoustic sensor arrays, medical diagnostics, and industrial IoT applications. His primary research interests include: Development of acoustic sensor arrays for source localization and medical auscultation Machine learning applications in medical diagnostics (skin lesion classification, cardiac sound analysis) Industrial IoT systems for timber measurement, snow load monitoring, and surface defect detection X-ray imaging systems and noise coupling in mixed-signal electronics Analysis of his 15 most recent publications reveals a strong focus on interdisciplinary applications of signal processing and deep learning, particularly in medical diagnostics (35% of works) and industrial sensor systems (40%). Key trends include uncertainty-aware AI models (2023-2025) and multi-channel acoustic processing (2024-2025). Lundgren actively collaborates with researchers across Europe on projects including DSS-oral (digital oral healthcare) and IRS TransTech (transformative technology). His work demonstrates consistent funding through Swedish research councils and EU programs focused on industrial digitalization. He leads research within the STC Research Centre, focusing on sensor technology and instrumentation. Current projects emphasize real-world deployment of AI-enhanced sensor systems in healthcare and industrial settings, with particular attention to measurement uncertainty and system robustness.

Vladimir MladenovićView profile

Professor

• Symbolic computation and processing
• Artificial intelligence and machine learning
• Deep learning and neural networks
• +7 more

Prof. Dr. Vladimir Mladenović is a Full Professor at the Department of Information Technologies , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. A 1975 native of Paraćin, he earned his Dipl. Ing. from the Faculty of Electronic Engineering, University of Niš (2000), followed by an M.Sc. (2005) and Ph.D. in Technical Sciences (2009) from the University of Kragujevac. His career spans industry (IT Manager, Serbian Glass Factory, 2001–2004), secondary education (teacher, 2004–2009), and academia (Professor of Vocational Studies, 2009–2013) before joining the University of Kragujevac. Research Focus: Symbolic software & tools, higher integration in IT systems Signal & multimedia processing, computer vision & AI/ML 5G/IoT architectures, edge computing, data protection Modern communication systems, web & network technologies He directs the Digital Innovation Lab at his faculty and has authored over 100 peer-reviewed publications in leading journals and conferences, with a strong emphasis on cross-layer modeling, deep learning, and IoT applications. He also co-holds 18 Serbian utility patents covering smart IoT systems ranging from greenhouse monitoring to smartwatch data collection, fire detection, and pedestrian safety. Honors & Professional Standing: Licensed Technology-Transfer Engineer – WIPO & Intellectual Property Office of Serbia (2012) Member, Union of Engineers and Technicians of Serbia Teaching Portfolio: Undergraduate: Modern Software Architectures, Multimedia Systems, Data Protection Master: Modern Communication Systems, Web Programming Doctoral: Modern Network Technologies, Applied Computer Vision

• Indoor Localization
• Positioning Systems
• Acoustic Signal Processing
• +4 more

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 PulkkiView profile

Professor

• Acoustics
• Signal processing
• Audio
• +1 more

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
• +3 more

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 KrynkinView profile

Senior Lecturer

• Acoustic Engineering
• Wave Propagation in Elastic Media
• Structural Vibration
• +5 more

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
• +3 more

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 RiazView profile

Research Fellow

• Immersive Audio
• Psychoacoustic Perception
• Spatial Audio
• +6 more

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 MadhuView profile

Professor

• Machine Learning
• Audio & Speech Enhancement
• Automated Audio Scene Analysis
• +4 more

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 EversView profile

Associate Professor

• Machine Listening
• Robot Audition
• Bayesian Inference
• +3 more

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.