Peter Svensson is a Professor in electroacoustics at the Department of Electronic Systems, NTNU. His research focuses on audio technology, room acoustics, and acoustic signal processing. He has supervised numerous PhD and master’s students in these fields. Teaching responsibilities include master's courses such as TTT4170: Audio Technology, TTT01: 3D-sound, and PhD courses like TT8302: Room Acoustics. He has co-supervised international theses at institutions like Princeton University and Chalmers University. Research interests encompass digital hearing protection, modal signal processing, and network-based audio transmission. His work bridges theoretical acoustics with practical applications in multimedia systems and architectural acoustics. No scientific awards are explicitly mentioned in the provided materials. Advising highlights include 12+ students across topics like edge diffraction modeling and spherical microphone arrays. Software and measurement datasets are available for academic use.
Dirk Martin Luchtenburg is an Associate Professor in the Department of Mechanical Engineering at The Cooper Union, holding the C. V. Starr Distinguished Professorship of Engineering. He leads the Dynamics and Control Lab, where undergraduate students design model-based controllers for smart vehicles such as quadcopters and ground robots. His research spans fluid mechanics, dynamics, and control systems, with applications in active flow control, nonlinear aerodynamics, and robotics. Education: He earned his MS in Aerospace Engineering from Delft University of Technology (Netherlands) and his PhD in Fluid Mechanics from TU Berlin. He held postdoctoral and lecturing roles at Princeton University before joining Cooper Union in 2013 as a research fellow, becoming a full-time faculty member in 2015. Key Research Areas: Fluid flows, feedback control, robotics, and model reduction. Applications: Active flow control, nonlinear stall models, and smart vehicle control. Recent work includes gyroscopic control of robotic systems, dynamic mode decomposition for complex systems, and compliant leg designs for robotic landings. His lab emphasizes hands-on student involvement in cutting-edge projects. Awards: C. V. Starr Distinguished Professor of Engineering (2023) Ben-Gurion University Summer Research Fellowship (2025) Grants & Advising: Co-authored papers with students, including David Shekhtman and Yeeho Song. Received the 2021 Educational Innovation Grant. Mentors undergraduates in the Dynamics and Control Lab, focusing on robotics and fluid dynamics research. Labs & Collaborations: Cooper Dynamics and Control Lab. Collaborations include work on plasma blasters and participation in conferences like ASME and ICRA.
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.
Dr. Michael Austin is an Honorary Professor at RMIT University's School of Engineering, specializing in advanced optical and nanotechnological research. His work focuses on integrated optics, microwave photonic systems, and micro/nano-fabrication technologies. He holds a position at the City Campus, Australia, and is affiliated with departments emphasizing communications engineering, atomic/molecular physics, and materials science. Research interests include photonics, nanotechnology, and sensor development, with notable contributions to optical signal processing and material characterization. Recent projects explore 3D video quality assessment and novel prime codes for optical networks. He has supervised studies on wind noise reduction mechanisms in microphones and 3D video quality metrics. Publications highlight innovations in nonlinear optics, photonic correlators, and nanostructured materials for sensing applications. His work bridges theoretical and applied engineering, addressing challenges in telecommunications, sensor technology, and optical systems design.
Javier Macías Guarasa is an Associate Professor in the Department of Electronics at the University of Alcalá. His primary research focuses on intelligent systems for infrastructure monitoring, human activity analysis, and acoustic/sensor-based surveillance. He leads the GEINTRA research group dedicated to applications in smart spaces and transportation. He earned his PhD from the Universidad Politécnica de Madrid with a thesis on speech recognition architectures. His work integrates machine learning, fiber optics, and sensor networks to address challenges in pipeline integrity, environmental sustainability education, and assistive technologies. Key research areas include distributed acoustic sensing in optical fibers, automated evaluation of human functional limitations, and hybrid models for threat detection. His recent projects emphasize real-world deployments of smart surveillance systems and educational analytics. Publications highlight advancements in fiber optic-based pipeline surveillance, multimodal activity recognition, and acoustic localization techniques. He collaborates on EU initiatives like the PIT-STOP project for infrastructure protection.
Dr.-Ing. Fiete Winter is a Researcher at the Institut für Nachrichtentechnik under the Fakultät für Informatik und Elektrotechnik at Universität Rostock. His work focuses on Spatial Audio , Wave Field Synthesis , and Binaural Synthesis , with contributions to acoustic modeling, array design, and open-source tool development. He is a key contributor to the Two!Ears project, which emphasizes reproducible research and acoustic database creation. His research interests include sound field reconstruction , spatial aliasing analysis , and time-domain rendering techniques . He has developed open-source tools for sound field synthesis and contributed to the Two!Ears Database of binaural room impulse responses. His work often bridges theoretical models (e.g., geometric analysis, modal beamforming) with practical implementations in real-time systems. Recent publications highlight advancements in loudspeaker array design, spatial bandwidth limitation, and psychoacoustic evaluation of synthesized sound fields. His interdisciplinary approach integrates signal processing, psychoacoustics, and acoustic engineering to address challenges in immersive audio systems.
Jens Ahrens is a Professor and head of the Audio Technology Group at Chalmers University of Technology's Division of Applied Acoustics since 2016. His research focuses on spatial audio signal processing, psychoacoustics, and microphone array technologies. He holds a Diplom (M.Sc.) from Graz University of Technology and a Dr.-Ing. from TU Berlin. Prior roles include postdoctoral work at Microsoft Research, visiting professorships at Stanford University, TU Erlangen, and the University of Huddersfield, and leadership in academic and industry collaborations. He has contributed to projects like the SoundScape Renderer and the Digital Twin Cities Centre. His work bridges theoretical advancements in acoustics with practical applications such as binaural rendering and acoustic levitation. He serves on editorial boards for leading journals and advises institutions like KFB Acoustics and Brewhouse Inkubator. Teaching includes courses on audio technology, spatial audio, and signal processing, with a focus on interdisciplinary education through MOOCs and international collaborations. Research interests span spatial audio capture/processing, room acoustics modeling, and perceptual evaluation of audio systems. His lab develops tools like the Real-Time Spherical Array Renderer (ReTiSAR) and explores AI-driven approaches for music representation and acoustic simulations.
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
Göran Thungström serves as Associate Professor in Electronics within the Department of Engineering, Mathematics and Subject Didactics (IMD) at Mid Sweden University in Sundsvall. His research spans semiconductor radiation detectors, gas sensing technologies, and optical instrumentation development. His primary research interests focus on semiconductor radiation detectors for medical and industrial applications, gas sensing technologies for environmental monitoring, and optical instrumentation development. Key research areas include position-sensitive detector systems, X-ray fluorescence spectrometry, thermopile infrared detectors, and process industry sensor development. His work bridges fundamental semiconductor physics with practical industrial applications, particularly in environmental monitoring and process control. His recent publications demonstrate consistent contributions to radiation detection (2020-2023), gas sensing (2022-2024), and optical instrumentation (2019-2023). The research shows a clear progression toward more sensitive detection systems with applications in environmental monitoring, industrial process control, and medical instrumentation. Notable trends include the development of nanoscale heterostructures for gas detection and advanced signal processing techniques for radiation measurement. No scientific awards were documented in the source material. Thungström leads multiple research projects including MEQAL (methane leak detection), Chrome (chromium measurement), and LEAP (large-area energy applications). His collaborations span academia and industry, with frequent partnerships on environmental monitoring and industrial process sensor development. His work demonstrates strong integration between theoretical modeling and practical implementation. His laboratory work focuses on semiconductor detector fabrication, gas sensor development, and optical measurement systems. Current projects emphasize environmental applications including methane detection systems and chromium contamination analysis tools. The research group maintains strong connections with industrial partners in the process industry and environmental monitoring sectors.
Huiping Huang is a researcher at Chalmers University of Technology's Department of Electrical Engineering. Their work focuses on telecommunications and signal processing, particularly in the areas of 5G positioning, massive MIMO systems, and dual-function radar-communication integration. Huang's research explores hybrid beamforming techniques under hardware constraints like limited-resolution phase shifters. Huang is involved in multiple funded projects: Beyond 5G Positioning (FFI), Hardware-aware Integrated Localization and Sensing (Swedish Research Council), and Near-field Enhanced Accuracy Tracking for 6G Networks (European Commission). Current collaborations span institutions including Lund University, University of Luxembourg, and Shanghai Jiao Tong University. Research Contributions: Developing algorithms for sidelobe suppression in MIMO-OFDM systems Optimizing transmit patterns for dual-function radar-communication systems Advancing distorted sensor detection methods in array signal processing Exploring terahertz communication systems with reconfigurable intelligent surfaces Designing sparse arrays for radar-communication coexistence Technical Expertise: Massive antenna arrays, hybrid analog-digital beamforming, direction-of-arrival estimation, waveform optimization, and sensor calibration under hardware limitations.
Shaolin Allen Liao is an Adjunct Professor in the Department of Electrical and Computer Engineering at Illinois Institute of Technology’s Armour College of Engineering. His research focuses on interdisciplinary areas including millimeter-wave/THz techniques, AI-driven 5G/6G systems, nano photonics, and computational electromagnetics. Education: Ph.D. in Electrical Engineering, University of Wisconsin, Madison (2008) M.S. in Electrical and Computer Engineering, University of Wisconsin, Madison (2005) M.S. in Materials Science, University of Wisconsin, Madison (2003) B.S. in Materials Science and Engineering, Tsinghua University (2000) Research Interests: Prof. Liao’s work bridges theory and application in cutting-edge fields such as high-frequency wireless communication, AI for big data analysis, and advanced photonics. He has pioneered techniques in millimeter-wave image transmission, deconvolutional neural networks for non-destructive evaluation, and novel sensor designs. Publications: His recent work spans applications in 5G/6G systems, fiber-optic sensors, and computational electromagnetics. Notable contributions include optimizing millimeter-wave image transmission via AI and developing high-Q microring resonators for optical systems. Affiliations: IEEE Senior Member Associate Editor, IEEE Access Academic Editor, PeerJ Computer Science Grants & Advising: While specific grant details are not listed, his research aligns with federal and industry priorities in telecommunications and sensor development. He actively advises on interdisciplinary projects at the intersection of materials science and electrical engineering. Labs/Teams: Collaborates with teams in nanophotonics and 5G system design at Illinois Tech, emphasizing translational research from theory to practical applications.
Alan H. Krakauer is a Lecturer in the Department of Evolution and Ecology at the University of California, Davis, and also teaches at UC Berkeley's Department of Environmental Science, Policy, and Management. He is affiliated with the Center for Population Biology at UC Davis and is a member of the Patricelli Lab, which focuses on behavioral ecology, bioacoustics, and conservation in birds. Dr. Krakauer's educational background includes: Ph.D. (2005) in Integrative Biology from the University of California, Berkeley, with advisors Dr. Walt Koenig and Dr. Eileen Lacey B.S. (1996) in Biology from Cornell University Dr. Krakauer's research focuses on organismal evolution, particularly the evolution of cooperation, sexual selection, and signaling systems. Much of his work involves studying complex avian mating systems to understand the relationship between social, biotic, and physical environments and individual behavioral strategies. His research addresses questions such as why cooperative behavior emerges in some polygynous breeding systems despite expected vigorous male competition, and how males vary their courtship displays in response to environmental changes. He employs diverse field and laboratory techniques including molecular estimates of relatedness and parentage, multi-channel microphone arrays, high-definition video, photography, playback experiments, and radiotelemetry. An analysis of Dr. Krakauer's recent publications reveals a strong focus on sage-grouse behavior and ecology, particularly examining courtship displays, mating systems, and the effects of environmental factors on behavior. His work frequently employs innovative methodologies such as robotic females to study mate choice, hidden Markov models for analyzing display patterns, and emerging technologies for habitat monitoring. The research spans behavioral ecology, evolutionary biology, and conservation science, with particular emphasis on how acoustic communication and social dynamics influence reproductive success in birds. Dr. Krakauer has mentored more than 200 undergraduate research assistants and post-graduate field technicians throughout his career. His teaching includes upper-division courses in Behavioral Ecology at UC Davis and Animal Behavior at UC Berkeley. While specific grants are not detailed in the available information, his research appears to be supported by fieldwork and collaborative projects with colleagues in the Patricelli Lab and other institutions. Dr. Krakauer is actively involved with the Patricelli Lab, which studies various topics related to behavioral ecology, bioacoustics, and conservation in birds. His work often involves field studies of sage-grouse leks and other avian species, using both traditional observational methods and cutting-edge technological approaches to understand animal behavior in natural settings.
Luisa Chiesa is a Professor and Associate Chair in the Department of Mechanical Engineering at Tufts University School of Engineering. Her research focuses on superconducting materials for energy applications, particularly in fusion reactors, particle accelerators, and medical devices. She leads experimental work on electromechanical properties of high-temperature superconductors (HTS) in collaboration with national laboratories. Education: Ph.D., Massachusetts Institute of Technology (2009) M.S., Massachusetts Institute of Technology (2006) B.S., Universita' degli Studi, Milano (2001) Her research explores sustainable energy solutions through HTS materials, including superconducting magnetic energy storage (SMES) and transmission lines. These technologies address renewable energy intermittency by improving grid reliability. Recent work emphasizes mechanical stress effects on superconductors in fusion reactors, where magnetic confinement requires materials resilient to extreme forces. Scientific Awards: School of Engineering Faculty Teaching and Mentoring Award (2021) IEEE Graduate Fellowship (2019) Young Plenary Session at ME26 (2019) Chiesa has secured grants from the U.S. Department of Energy and National Science Foundation for quench detection systems, Nb3Sn cable testing, and educational initiatives. She teaches courses in sustainable energy, thermodynamics, and materials science, while serving on editorial and professional boards like IEEE Council on Superconductivity.
Prof. Dr. Barış Bayram is a faculty member at Middle East Technical University (College of Engineering, Department of Electrical and Electronics Engineering). His research focuses on microelectromechanical systems (MEMS), diamond-based ultrasonic transducers, and medical imaging technology. He supervises the ULTRAMEMS research laboratory, which has secured multiple patents and produced numerous high-achieving students pursuing advanced degrees at institutions like Stanford, ETH Zurich, and Georgia Tech. Key research areas: MEMS, CMUT arrays, diamond electronics, acoustic crosstalk reduction Notable projects: ULTRALIGHT business idea, fiber optic MEMS microphone Major achievements: TÜBA GEBIP Award (2011), 4 US/EU/TR patents issued
Ning Xiang is a Full Professor and Director of the Architectural Acoustics Program at Rensselaer Polytechnic Institute's School of Architecture. His research advances measurement techniques and computational models for room acoustics, signal processing, and acoustic material characterization. Education: PhD, Ruhr-University Bochum BS, Tianjin University His research integrates Bayesian inference, wave propagation theory, and experimental methods to solve problems in architectural acoustics. Recent work focuses on uncertainty quantification in acoustic measurements, diffusion-equation modeling for reverberation prediction, and spherical array processing for sound source localization. Publication analysis reveals three primary themes: (1) Bayesian methods for acoustic parameter estimation; (2) novel measurement systems like high-resolution goniometers; and (3) physics-based modeling of complex acoustic phenomena. His articles combine fundamental theory with practical applications across concert hall design, noise control, and acoustic materials development. Scientific Awards: Wallace Clement Sabine Medal (Acoustical Society of America) Albert Nelson Marquis Lifetime Achievement Award As Architectural Acoustics Program Director, he mentors graduate students and leads research on acoustic sensing systems. He serves as Associate Editor for the Journal of the Acoustical Society of America and has chaired multiple technical committees for international acoustics societies. His laboratory develops advanced instrumentation including laser Doppler vibrometry systems for material characterization and portable goniometers for diffuser evaluation. Current projects include NSF-funded research on Bayesian uncertainty quantification in acoustic measurements.
