جست‌وجوی استاد و پژوهشگر

Jakub Gałkaمشاهده پروفایل

مدرس پاره‌وقت

• Digital Signal Processing
• Multimedia Processing
• Machine Learning
• +۶ مورد دیگر

Jakub Gałka serves as an Associated Part-time Lecturer at the Institute of Electronics, AGH University of Kraków, where he leads research in digital signal processing, machine learning, and deep learning for speech/audio applications. His dual career bridges academia and industry through co-founding Techmo sp. z o.o.—a voice technology commercialization spin-off—and providing R&D consultancy to multiple tech firms, driving innovation in voice biometrics and spoken dialogue systems. His research integrates wavelet analysis with modern deep learning techniques to solve real-world challenges in cross-gender voice conversion, speaker identification, and sign language processing. Key focus areas include audio security (replay attack detection), multimodal human action recognition, and accessibility technologies for the deaf community, demonstrating consistent translational impact from theoretical signal processing to market-ready solutions. Analysis of his recent publications reveals a strategic shift toward deep adversarial learning for voice conversion and robust biometric security systems, while maintaining foundational work in wavelet-Fourier transform compositions. His output consistently targets applied outcomes, particularly in commercial voice technologies and assistive systems for sign language processing. Scientific recognition includes: Graduate of Stanford University’s selective Top 500 Innovators internship program As an academic-industry liaison, Gałka mentors students through Techmo collaborations and directs R&D projects spanning voice authentication, music processing, and emergency call center speaker identification. His grant portfolio includes national and international initiatives focused on voice biometrics commercialization and sign language technology development. He actively contributes to the Signal Processing Group at AGH University, fostering partnerships that transform academic research—particularly in speech segmentation and neural network architectures—into deployable voice solutions for corporate and healthcare applications.

Andrew Knight-Hillمشاهده پروفایل

استاد

• Electroacoustic Music
• Audiovisual Composition
• Sound Studies
• +۶ مورد دیگر

Andrew Knight-Hill is a Professor of Music and Sound Arts at the University of Greenwich, affiliated with the School of Design and Creative Industries and the Faculty of Law, Arts and Social Sciences . He is the lead of the SOUND/IMAGE Research Centre, director of the Shared Hub for Immersive Future Technologies (SHIFT), and co-director of the Loudspeaker Orchestra Concert Series. Education: PhD in Electroacoustic Audio-visual Music from De Montfort University (2013). His research focuses on electroacoustic music, audiovisual composition, and immersive soundscapes, with a particular interest in how everyday sounds and materials are interpreted by audiences. He explores the interplay between reality and virtuality through studio-composed acousmatic and audio-visual works. The articles and publications span 2008–2021, covering topics like spatial audiovisual composition , sound studies , film sound diegesis , and practice-based research methodologies . His work often intersects heritage, technology, and sensory perception. Scientific Awards: AHRC Leadership Fellowship (2021–2022) AHRC New Generation Thinkers 2020 Semi-Finalist He has contributed to BBC Radio 3 and Radio 4 programs, and his compositions have been performed at major international festivals. Collaborations include institutions like L Acoustics, NOTAM, and the New York Public Library.

Chris Joslinمشاهده پروفایل

استاد

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +۵ مورد دیگر

Chris Joslin is a Professor at the School of Computer Science, Carleton University. His office is located in 4302 Canal Building, and he can be reached at Chris.Joslin@carleton.ca. He specializes in interdisciplinary research areas including computer graphics, medical imaging, virtual reality, computer vision, and human-computer interaction. His work bridges theoretical advancements with practical applications in animation, 3D modeling, and medical visualization. Research interests include developing novel techniques for 3D editing, medical image processing, and immersive virtual environments. Notable contributions include advancements in 3D Gaussian splatting, AI-driven MRI analysis, and robust sensor fusion for autonomous systems. His publications span from foundational studies on motion retargeting to applied work in procedural audio generation for soft-body simulations. Recent trends in his articles emphasize integration of deep learning with traditional computer vision tasks, optimization of medical imaging workflows, and enhancing accessibility in virtual reality systems. Despite prolific output, no scientific awards are explicitly mentioned in the provided texts. Advising and grant details remain unspecified, though his involvement in collaborative projects like VPARK and ISIS suggests engagement with interdisciplinary teams. His work is anchored at Carleton’s Herzberg Laboratories, a hub for advanced computational research.

• Biomedical Engineering
• Digital Signal Processing
• Smart Homes
• +۶ مورد دیگر

Rafik A. Goubran is a Professor at Carleton University's Department of Systems and Computer Engineering, and currently serves as Vice-President (Research and International). He previously held roles as Dean of the Faculty of Engineering and Design and Chair of the Department of Systems and Computer Engineering. His research focuses on digital signal processing applications in biomedical engineering and audio processing, with a strong emphasis on smart environments for seniors' independent living, patient monitoring, and sensor analytics. Dr. Goubran has co-supervised 24 PhD and 72 Master’s students, authored/co-authored 70 journal papers, 260 conference papers, and 12 patents. He is a Life Fellow of the IEEE and a Fellow of the Canadian Academy of Engineering. Education: Ph.D. (Carleton University), M.Sc. and B.Sc. in Electrical Engineering (Cairo University). Key roles include co-leader of the Technology Assisted Environment for the Third Age (TAFETA) project and founder of the Ottawa-Carleton Institute for Biomedical Engineering (OCIBME). Awards include the University Senate Medal for Academic Achievement (students' work) and multiple grants. His research spans smart home technologies, patient monitoring systems, and audio signal processing for healthcare. Publications highlight innovations like unobtrusive patient monitoring via pressure sensors, respiratory rate estimation from thermal video, and AI-driven health analytics. Collaborations with institutions like Bruyère Research Institute and industry partners (e.g., Mitel, Nortel) underpin his applied research. Ongoing projects include supportive smart home systems for dementia care and AI-driven driving behavior analysis for older adults.

• Computer Networks
• Telecommunication Networks
• System Software
• +۷ مورد دیگر

George Xylomenos is a Professor in the Department of Informatics at Athens University of Economics and Business (AUEB), where he has been a faculty member since 2002, progressing from Lecturer to Professor. He serves as Scientific Coordinator of the Information Systems Management Center and previously held roles including Deputy Chair of the Department of Informatics and Deputy Rector for Financial Planning and Development. He is affiliated with the Mobile Multimedia Laboratory (MMlab) at AUEB and has made significant contributions to computer networking research. Professor (System Software) at AUEB, Department of Informatics (2020-present) Associate Professor at AUEB, Department of Informatics (2015-2020) Assistant Professor at AUEB, Department of Informatics (2007-2015) Lecturer at AUEB, Department of Informatics (2002-2007) Research Associate at University College London (2016-2017) Education Ph.D. in Computer Science, University of California, San Diego (1999) M.S. in Computer Science, University of California, San Diego (1996) Diploma in Applied Informatics, Athens University of Economics and Business (1993) Professor Xylomenos' research focuses on computer network and operating system design and implementation. His primary interests include Future Internet architecture, Information-Centric Networking, Quality of Service provisioning, communication protocols for wireless and mobile networks, and Network Music Performance systems. His work bridges theoretical networking concepts with practical implementations, particularly in the areas of content-centric networking and multimedia communications. He has pioneered research in multi-service link layers for wireless networks and has made significant contributions to the understanding of TCP performance over wireless links. His recent publications demonstrate a strong focus on Named Data Networking, decentralized identity systems, and Network Music Performance. The research trends show a progression from traditional IP networking toward information-centric architectures, with increasing emphasis on security, privacy, and multimedia applications in distributed environments. Scientific Awards Best demo award at ACM ICN Conference (2017) Future Internet Award from FP7 PURSUIT project (2013) Runner up for best local student paper at IEEE Symposium on Computers and Communications (2011) Best non-student paper award at European Wireless Conference (2007) National Semiconductor Corporation Graduate Fellowship (1996) Professor Xylomenos has supervised numerous research projects, including multiple EU-funded initiatives such as PURSUIT, PSIRP, and EIFFEL in the Future Internet domain, and MUSINET for Network Music Performance. He has served on the editorial board of IEEE Transactions on Mobile Computing (2016-2024) and has been active in numerous Technical Program Committees for major networking conferences. His research has attracted significant funding from European Union programs including FP7, H2020, and Horizon 2020. He is a core member of the Mobile Multimedia Laboratory (MMlab) at AUEB, which focuses on advanced networking technologies, multimedia systems, and future Internet architectures. The lab has been instrumental in Greece's participation in major European research initiatives related to Information-Centric Networking and Network Music Performance. The laboratory maintains strong collaborations with international research groups, particularly in Europe and the United States.

Andrew Singerمشاهده پروفایل

استاد

• Signal Processing
• Underwater Acoustic Communications
• Biomedical Acoustics
• +۴ مورد دیگر

Andrew Singer is the Dean of the College of Engineering and Applied Sciences and a Professor in the Department of Electrical and Computer Engineering at Stony Brook University. Previously, he held roles at the Grainger College of Engineering, University of Illinois Urbana-Champaign, including positions as Associate Dean for Innovation and Entrepreneurship. His research spans signal processing, underwater acoustic communications, biomedical acoustics, and entrepreneurship. He leads projects like the MAGIC Automated Acoustics Laboratory and Augmented Listening Technology, focusing on audio signal enhancement, wearable devices, and underwater communication systems. Research interests include adaptive signal processing, turbo equalization, and biomedical applications of acoustics. Notable contributions include high-data-rate ultrasonic communication through biological tissues and real-time video streaming using acoustic channels. His work integrates machine learning and physical models to address challenges in acoustics, communications, and biomedical engineering. Recent articles explore reliable measurement in unreliable systems, underwater source localization, and bio-inspired signal processing techniques. Awards and recognitions are not explicitly listed but his extensive publications and leadership roles highlight his contributions to the field. Advised students and collaborators span academia and industry, including roles at Apple, Amazon, and defense agencies. Current initiatives include developing mechatronic systems for acoustic research and advancing assistive listening technologies.

• Electrical and Electronic Measurements
• Analog-to-Digital Converters
• Electronic Circuit Design
• +۵ مورد دیگر

Marco Grassi is an Associate Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Pavia, specializing in electrical and electronic measurements (disciplinary sector IMIS-01/B). His academic activities include teaching three major courses: Electronics for Industrial Measurements, Digital IC Design, and Mechanical and Thermal Measurements for both Industrial Automation Engineering and Electrical Engineering programs. Professor Grassi's research spans multiple domains with a strong focus on analog-to-digital conversion techniques , particularly low-power SAR ADCs for audio and space applications, space instrumentation for missions like HERMES and THESEUS, and biomedical electronics including visual prostheses. His work consistently addresses the challenges of precision measurement systems in demanding environments. His recent publications (2023-2025) reveal a research trajectory that bridges fundamental circuit design with high-impact applications in space exploration and medical devices. This interdisciplinary approach has led to contributions in top journals across multiple fields including IEEE Transactions, Astronomy & Astrophysics, and biomedical engineering publications. Professor Grassi has secured patent protection for several of his innovations, particularly in power delivery circuits and microphone electronics, demonstrating the practical applications of his research. His technical expertise spans from theoretical circuit design to flight-ready space instrumentation. As an educator, Professor Grassi maintains an active teaching schedule with courses that integrate his research expertise into the classroom, providing students with exposure to cutting-edge measurement techniques and electronic design principles applicable to both terrestrial and space environments.

• Recording Engineering
• Music Technology
• Audio Production
• +۱ مورد دیگر

Bob Mayo serves as an Assistant Professor of Recording Engineering and Music Technology at Union University, actively instructing students in the newly established commercial music recording studio housed within Jennings Hall. His role embodies the university's integration of technical expertise and Christ-centered academic principles in professional audio education. His academic foundation includes: Bachelor of Science in Recording Industry Management from Middle Tennessee State University Professor Mayo's scholarly focus centers on practical applications in recording engineering and music technology, emphasizing studio techniques, digital audio workflows, and creative technology integration. His work directly supports Union University's mission to develop technically proficient practitioners within a faith-based educational framework, preparing students for careers in the evolving music industry through hands-on studio experiences. No scientific awards or honors were documented in the available materials. Information regarding graduate student mentorship and externally funded research grants was not provided in the source documentation. He operates within Union University's state-of-the-art commercial music recording facility in Jennings Hall (JEN 117), which serves as the primary instructional environment for developing professional audio production skills through direct studio engagement.

Rig Dasمشاهده پروفایل

استادیار

• Brain-Computer Interface (BCI)
• Biometrics
• Artificial Intelligence (AI)
• +۶ مورد دیگر

Rig Das is an Assistant Professor in the Computer Science and Computer Engineering Department at the University of Wisconsin-La Crosse (UWL), USA. His research focuses on Brain-Computer Interfaces (BCI), Biometrics, EEG Signal Processing, and AI, with applications in neurorehabilitation and medical diagnostics. He holds a Ph.D. in Applied Electronics Engineering from Roma Tre University, Italy, and has held roles including Research Scientist at the University of Nebraska Medical Center and Postdoctoral Researcher at Technical University of Denmark and the University of Luxembourg. Education: Ph.D. in Applied Electronics Engineering (2018) – Roma Tre University, Italy M.Tech. in Computer Science & Engineering (2012) – NERIST, India B.Tech. in Computer Science & Engineering (2007) – WBUT, India Research Interests: EEG Signal Processing for Parkinson’s Disease and Sleep Studies BCI Systems for Neurorehabilitation and Assistive Technologies Deep Learning in Biometric Identification (e.g., Finger-Vein, Facial Recognition) Medical Image and Signal Processing Grants & Projects: NIH BRAIN Initiative Grant (UH3 NS113769) – Research Scientist, UNMC (2020–25) EU H2020-ENCASE Project – Biometric Privacy Research (2016–19) UWL Faculty Research Grant ($12,200) – Parkinson’s Disease Study (2024–25) Awards: 2018 European Biometrics Research Award for PhD Thesis 2017 EUSIPCO 3MT Presentation Finalist Teaching and Advising: Current Courses: Digital Signal Processing, Programming Language Concepts, Software Design Past Roles: Instructor at UNMC Neurosurgery Dept., Assistant Professor at Assam Don Bosco University Labs & Collaboration: Developed the “Brainy Home” BCI system for smart home control Collaborates with institutions like GN Audio (Denmark) and Bar-Ilan University (Israel)

Takis Kasparisمشاهده پروفایل

استاد

• Digital Signal Processing
• Remote Sensing
• Biomedical Engineering
• +۵ مورد دیگر

Professor Takis Kasparis holds a PhD in Electrical Engineering from the City University of New York and has taught at institutions including the University of Central Florida (UCF), where he earned prestigious teaching awards like the Joseph M. Biedenbach Outstanding Engineering Educator Award (IEEE). He currently works at the Cyprus University of Technology (CUT) in the Department of Electrical Engineering. His research focuses on Digital Signal Processing with applications in Remote Sensing , Biomedical Engineering , Communications , and Audio Processing . Notable contributions include studies on precipitation measurement techniques, medical ultrasound imaging, and tele-echography systems. His recent publications (2013–2020) address topics like disdrometer calibration, carotid artery analysis via ultrasound, and meteorological instrumentation. These reflect interdisciplinary strengths in environmental science and healthcare technology. Scientific Awards: Joseph M. Biedenbach Award (2013) Teaching Excellence: Multiple UCF teaching awards His work bridges electrical engineering fundamentals with practical applications in climate science and medical diagnostics, supported by advanced signal processing methodologies.

David Kozelمشاهده پروفایل

استاد

• Power Electronics
• Electric Vehicles
• Renewable Energy
• +۳ مورد دیگر

David Kozel, Ph.D., is a Professor in the Department of Electrical and Computer Engineering at Purdue University Northwest (PNW). He holds a Ph.D., M.S., and B.S. in Electrical Engineering from Purdue University. His research focuses on power electronics, particularly in electric vehicles and renewable energy systems, alongside projects in digital signal processing and microcontroller applications. Dr. Kozel has mentored student groups in robotic hand development, solar/wind energy systems, and LED lighting solutions. He received the Outstanding Teacher Award at PNW twice (2009-2010 and 1992-1993) and is a licensed Professional Engineer in Indiana. His teaching portfolio includes courses on Power Electronics, Signals and Systems, Probabilistic Methods, and Linear Circuit Analysis. Previously, he served as the Department Head of PNW’s Electrical and Computer Engineering program from 2016 to 2018. His work spans interdisciplinary projects combining energy systems and embedded technologies, with a strong emphasis on student-centered learning and mentorship.

Hahn Kooمشاهده پروفایل

دانشیار

• Computational Linguistics
• Korean Linguistics
• Phonology
• +۴ مورد دیگر

Hahn Koo is an Associate Professor in the Department of Linguistics and Language Development at San Jose State University's College of Humanities and the Arts. His research focuses on computational linguistics, Korean linguistics, phonology, and psycholinguistics. He currently serves as Director of the Center for Human Language Technology. Research Interests include: Computational modeling of phoneme segmentation using transformer autoencoders Lexically guided perceptual learning recalibration mechanisms Speech synthesis technologies, particularly pattern playback systems Comparative analysis of voice quality in L2 speakers Bilingual children's speech fluency detection His recent work demonstrates strong integration of machine learning techniques with acoustic phonetics, particularly through Python-based tool development for spectrogram-to-sound conversion. The research spans both theoretical phonology and applied speech technology, with significant emphasis on Korean-English bilingualism. Office hours: MTWR 13:30-14:00 Teaching: LING 111 (Intro to Phonetics), LING 123 (Sound & Communication), LING 161 (Psycholinguistics) He leads software development projects like the digital pattern playback system , which reconstructs waveforms from spectrogram images using inverse Fourier transforms and Griffin-Lim algorithms.

David Bernersمشاهده پروفایل

استاد مدعو

• Computer Music
• Acoustics
• Digital Signal Processing
• +۳ مورد دیگر

David Berners is an Adjunct Professor at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA). He holds a Ph.D. and M.S. in Electrical Engineering from Stanford University and the California Institute of Technology, respectively. His research focuses on computer music, acoustics, and audio engineering, with specialization in digital signal processing, music technology, and sound synthesis. Education: Ph.D. in Electrical Engineering, Stanford University M.S. in Electrical Engineering, California Institute of Technology

Blair Kaneshiroمشاهده پروفایل

استاد مدعو

• Computer Music
• Acoustics
• Audio Signal Processing
• +۲ مورد دیگر

Blair Kaneshiro serves as an Adjunct Professor at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA), a pioneering interdisciplinary research facility focused on audio technology and musical applications. His research spans core areas of computer music and acoustics, with emphasis on: Audio signal processing algorithms Digital synthesis techniques Spatial audio systems Human-computer interaction in musical contexts Real-time audio software development Acoustic modeling for virtual environments No scientific awards, student advisement records, or publication history were documented in the source material.

Parag K. Mitalمشاهده پروفایل

مدرس

• Machine Learning
• Computer Vision
• Art and Technology
• +۳ مورد دیگر

Parag K. Mital is a Lecturer in the Department of Design Media Arts (DMA) at the University of California, Los Angeles (UCLA), part of the School of the Arts and Architecture. He holds a Ph.D. from Goldsmiths, University of London, where his interdisciplinary research focused on computational models of perception. Mital’s work bridges machine learning, cognitive science, and generative art, exploring the intersection of human and computational perception. He also serves as CTO and Head of Research at Hypersurfaces, Ltd., a London-based startup. His research interests include machine learning, computer vision, and generative art, with a focus on eye-tracking studies, EEG/fMRI research, and large-scale archival analysis. Notable projects include the Walt Disney Concert Hall Dreams (2018), leveraging neural networks to analyze LA Philharmonic archives, and the Daphne Oram Browser (2010–2013), an interactive tool for exploring historical sound archives. His work has been exhibited globally, including at the Victoria & Albert Museum and Prix Ars Electronica. Mital has taught computational arts courses at UCLA, Dartmouth College, and others, emphasizing computer vision, signal processing, and algorithmic sound. His collaborations span artists like David Lynch, Refik Anadol, and institutions such as Google and the British Film Institute. His scientific awards include recognition at the Prix Ars Electronica. Key publications include works on corpus-based synthesis and AI-driven archival projects. Mital’s research and art reflect a dual focus: scientific rigor driving theories, and artistic practice redefining research questions.