جست‌وجوی استاد و پژوهشگر

Irtaza Shahidمشاهده پروفایل

پژوهشگر

• Secure and Private Speech Communication
• Generative AI and Speech/Audio Models
• Deepfake and Misinformation Detection
• +۳ مورد دیگر

Irtaza Shahid is a Ph.D. candidate in Computer Science at the University of Maryland, College Park, and a Researcher in the Networking, Mobile Computing, and Autonomous Sensing Lab (iCoSMoS) under Prof. Nirupam Roy. He is also a Founding Deep Learning Engineer at Hearvana.ai, a stealth AI startup under the AI2 Incubator. Ph.D. in Computer Science (University of Maryland, College Park) MS in Computer Science (University of Maryland, College Park) BS in Electrical Engineering (Lahore University of Management Sciences, Pakistan) His research spans Human-Centric Acoustics , focusing on Speech Privacy , Deepfake Detection , and Earable-Based Health Sensing . He has published in top venues like USENIX Security, ACM MobiSys, and IEEE ICASSP. Recent publications highlight Secure Speech Communication (USENIX Security 2025), UWB Localization (NSDI 2025), and Privacy Frameworks for Extended Reality (HotMobile 2025). These works emphasize Edge AI , Low-Power Acoustic Systems , and Signal Integrity . Scientific Awards: Student Travel Grant (USENIX Security 2025), Student Seed Funding (Maryland Cybersecurity Center 2023), Dean's Fellowship (University of Maryland 2020), and multiple Dean's Honor List Awards (LUMS 2016-2020) His projects include VoiceSecure (tamper-proof speech systems), DPOAE Estimation (health sensing via earbuds), and ThermWare (side-channel defense for IoT devices). He has contributed to Audio Engineering Society conferences and collaborated with industry partners like Nokia Bell Labs.

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 .

Aparna Vardeمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۹ مورد دیگر

Dr. Aparna Varde is a tenured Associate Professor in the School of Computing at Montclair State University (MSU), NJ. She also serves as Associate Director of the Clean Energy and Sustainability Analytics Research Center (CESAC) and previously held roles as Inaugural Associate Director for Graduate Studies and Research in SoC. She has conducted research visits at the Max Planck Institute for Informatics in Germany and holds degrees from the University of Bombay (BE), Worcester Polytechnic Institute (MS/PhD). Her research focuses on AI, Machine Learning, Data Mining, Environmental Computing, and Robotics. Notable projects include GreenDSS (green data center decision support), CSK-based robotics (e.g., CSK-Detector and Robo-CSK-Organizer), and offshore wind energy analysis. She has secured over $2M in grants from PSE&G, NSF, NOAA, and NJEDA. Dr. Varde advises PhD students (e.g., Xu Du, Michael Pawlish) and serves on editorial/review boards for IEEE/ACM journals. She has received 9 best paper awards at IEEE conferences and is recognized as an outstanding researcher by USCIS. Education: BE (University of Bombay), MS/PhD (Worcester Polytechnic Institute) Awards: 9 best paper awards at IEEE conferences, NSF/NOAA grants, Fulbright mentorship Key Projects: Smart Cities policy analysis, autonomous vehicle CSK integration, drone-based environmental monitoring Her work spans 150+ publications in IEEE/ACM venues and addresses UN Sustainable Development Goals through smart living apps (e.g., food donation platforms, hydro-climate tools). Collaborations include MPII Germany, IBM Research, and Queensland University of Technology.

Anders Sundnes Løvlieمشاهده پروفایل

دانشیار

• Experience design
• AI
• Human-Computer Interaction (HCI)
• +۶ مورد دیگر

Anders Sundnes Løvlie is an Associate Professor at the IT University of Copenhagen , affiliated with the Media, Art & Design school and the Audio-Visual Computing department. As Head of Research Group , he leads projects focusing on Play, Culture, and AI. His research interests include Experience Design, Locative Media, Museum Studies, and Human-Computer Interaction (HCI), with a focus on integrating AI into cultural heritage spaces. Key projects include the Horizon 2020-funded GIFT project (2017–2019), which explored personalized hybrid museum experiences, and the ArtNet project (2022–2024), advancing image recognition in art. He also coordinated the SQM initiative (2018) for science journalism quality markers. His work bridges theory and practice, emphasizing participatory design in museums and ethical considerations of AI. Over 68 publications span conference proceedings, journals, and book chapters, often addressing AI in art, tangible interaction, and museum experience design. He has supervised 3 PhD students and actively collaborates internationally, appearing in 17 media contributions. Løvlie’s activities include editorial work for Digital Creativity journal and organizing workshops on design engagement and digital culture. His lab focuses on technologies that mediate art and science, such as interactive installations and generative AI tools.

Iana Podkosovaمشاهده پروفایل

پژوهشگر

• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality (MR)
• +۵ مورد دیگر

Iana Podkosova is a PostDoc Researcher at the Technical University of Vienna, affiliated with the Mixed Reality Lab. Her work focuses on Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) systems, with an emphasis on multi-user collaboration, embodiment, and real-world applications in construction and industrial design. She contributes to projects like BIMFlexi-VR, which integrates Building Information Modeling (BIM) with VR for early-stage industrial building design, and VRNetzer, a platform for interactive network analysis in VR. Her research interests include collaborative VR systems, hand tracking technologies, user interaction design, and the application of MR in education and industry. She has led or contributed to numerous research projects, including GeoSemanticCrow, Circular Twin, and BIMCheck, addressing challenges in spatial awareness, navigation, and real-time optimization in immersive environments. Podkosova's work often bridges technical innovation with human-centric design. Notable contributions include studies on mutual collision avoidance in multi-user VR, hybrid sound models for immersive audio games, and methods for large-scale VR system localization using point cloud registration. Her research has been published in top-tier conferences and journals, including Frontiers in Virtual Reality and IEEE proceedings. She has also been involved in educational initiatives, such as developing VR courses using consumer hardware like the HTC Vive and Leap Motion. Her interdisciplinary approach addresses both technical and social aspects of immersive technologies, aiming to enhance collaboration and decision-making in professional settings.

Alan Kanمشاهده پروفایل

مدرس

• Hearing Technology
• Signal Processing
• Spatial Hearing
• +۶ مورد دیگر

Dr. Alan Kan is an Honorary Lecturer in the School of Engineering at Macquarie University, affiliated with the Hearing Research Centre and Future Communications Research Centre. He holds roles across multiple institutions, including past positions at the University of Wisconsin-Madison as a Research Associate and Assistant Scientist, and a Lecturer in the Department of Communication Sciences and Disorders there. His research focuses on hearing technology, spatial hearing, and cochlear implants, with a strong emphasis on audio virtual reality and biomedical signal processing. Education: PhD in Engineering from the University of Sydney (2010). Teaching includes digital systems units (ELEC2042, ELEC3042, etc.) and software design modules at Macquarie. Previously taught electroacoustic instrumentation calibration at UW-Madison. Research interests span signal processing, auditory neuroscience, and computational modeling. Recent projects include the PRISM study (2023–2026) on predicting interaction difficulty and the MOSAIC project (2023–2024) on motion and sound sensors for communication analysis. He serves on the editorial board of the Journal of Speech, Language and Hearing Research and contributes to the Acoustical Society of America. Grants and collaborations involve interdisciplinary teams focusing on hearing technology and sensor applications. Active in editorial and review roles for journals and conferences in signal processing and acoustics. Labs/Teams: Collaborates within the Hearing Research Centre and Future Communications Research Centre at Macquarie, engaging with global networks in auditory neuroscience and biomedical engineering.

Helena Daffernمشاهده پروفایل

استاد

• Voice Science
• Acoustics
• Music Technology
• +۷ مورد دیگر

Helena Daffern is a Professor in Music Technology at the University of York, specifically within the School of Physics, Engineering and Technology. Her expertise spans singing voice analysis, vocal pedagogy, choral practices, and voice synthesis, with a focus on voice science and acoustics. She has led initiatives like the York Centre for Singing Science and the York Audio Network to foster cross-disciplinary research. A trained BBC expert, she has appeared on programs such as BBC Breakfast and Click for the World Service. Helena also maintains an active professional singing career as a soloist and ensemble member with groups like Opera Holland Park and Yorkshire Baroque Soloists, alongside recording work for Warner Music UK and Oxford University Press. Education: PhD in Music Technology (University of York, 2008) MA in Singing Performance (University of York) BA (Hons) in an unspecified field Postgraduate training at Trinity College of Music Her research emphasizes the acoustic properties of classical singing techniques, vocal health, and the application of technology in music. By bridging engineering and music, she explores how acoustic spaces and digital tools influence performance and well-being. Recent work includes virtual reality choir interventions for elderly care and the impact of vocal vibrato across genres. She advocates for gender equality in music production and has collaborated on infant vocalization apps like BabblePlay. Scientific Awards: None explicitly mentioned in the provided text. Advising and Grants: While no formal advisees or grant details are listed, Helena leads major research projects such as the York Centre for Singing Science and York Audio Network, which likely involve institutional and collaborative funding. Her work with the BBC Maida Vale Recording Studios and the WHO-Lancet Global Series suggests partnerships with external organizations. Labs and Teams: She runs the York Centre for Singing Science and the York Audio Network, promoting interdisciplinary collaboration in voice research and audio technology. These platforms support her exploration of acoustic environments, immersive music performance, and health-related musical interventions.

Andy Huntمشاهده پروفایل

استاد

• Interactive Sonification
• Human-Computer Interfaces
• Signal Processing: Audio
• +۳ مورد دیگر

Professor Andy Hunt is a faculty member in the School of Physics, Engineering and Technology at the University of York. His academic rank is Professor, and he holds roles such as Chair of the Engineering Teaching Committee and Stream Leader for Music Technology programmes. He has a PhD in Music Technology and extensive industry experience in electronic engineering. His research focuses on Interactive Sonification, the science of displaying data as sound with real-time user interaction. Notable contributions include co-founding the Interactive Sonification Workshop and co-editing the Sonification Handbook . His work spans healthcare applications (e.g., biomedical data analysis), music therapy, and engineering education. Key publications include over 50 articles, with a focus on sonification systems, human-computer interfaces, and audio technologies. He has received the RAE Engineering Teaching Prize 2007 for contributions to engineering education. Teaching responsibilities include courses on Audio Technology, Multimedia Sound Design, and iOS Programming. He emphasizes practical project management and student success through his authored books like Surviving and Thriving at University and Managing your Project . Grant funding includes EPSRC and EU projects, such as Improved Data Mining through an Interactive Sonic Approach and Sonification of cervical smear data . His work addresses diverse applications, from disability support in music to data analysis in sports and healthcare.

Damian Murphyمشاهده پروفایل

استاد

• Immersive Audio
• Virtual Acoustics
• Room Acoustics
• +۴ مورد دیگر

Damian Murphy is Professor of Sound and Music Computing at the University of York's AudioLab. As Director of XR Stories, he leads research on immersive audio technologies, virtual acoustics, and interactive storytelling. His research focuses on: Virtual acoustic modeling and room simulation Immersive audio for XR applications Soundscape evaluation through auralisation Machine learning for environmental sound analysis Audio heritage reconstruction Recent publications demonstrate innovative applications of computational acoustics, including Fourier neural operators for wave equation solving, hearables for augmented audio experiences, and historical acoustic reconstructions. His work bridges technical audio research with creative applications. Murphy leads major projects including 'XR Stories' (AHRC), 'The Past Has Ears' (AHRC/EU), and 'SIGN: Screen Industries Growth Network'. He has secured over £20m in research funding and published 200+ works. As visiting lecturer at KTH Stockholm, he specializes in spatial audio and acoustics.

Anthony Tewمشاهده پروفایل

پژوهشگر ارشد

• Acoustics
• Signal Processing
• Spatial Audio
• +۴ مورد دیگر

Anthony Tew is an Honorary Fellow at the University of York , affiliated with the Audio Lab Research Group in the School of Physics, Engineering and Technology. His work bridges binaural audio signal processing , acoustic modelling , and psychoacoustics , with applications in hearing aid algorithms and 3D audio technology . Research Areas : Binaural Audio, Spatial Audio, Signal Processing, Morphoacoustic Perturbation Analysis, SYMARE Database, Head-Related Transfer Functions (HRTFs) Collaborations : University of Sydney, BBC Research and Development Committees : Chair of University Learning and Teaching Projects Committee, Public Lectures Committee, and Science and Society Working Group His research focuses on optimizing HRTF synthesis for consumer 3D audio, improving binaural hearing aid algorithms, and auditory displays for accessible television. Recent publications highlight advancements in HRTF individualization , mesh validation , and spatial cue analysis . Collaborative projects with BBC R&D explore perceptual plausibility in virtual audio environments. Contact : tony.tew@york.ac.uk

Tobias Höllererمشاهده پروفایل

استاد

• Visual Computing and Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Tobias Höllerer is a Professor of Computer Science at the University of California, Santa Barbara (UCSB). He leads the Imaging, Interaction, and Innovative Interfaces research group, focusing on novel user interfaces, augmented reality (AR), virtual reality (VR), and immersive visualization technologies. His work emphasizes 'Anywhere Augmentation' in AR and contributions to the Allosphere project, a three-story immersive visualization environment. Education: PhD in Computer Science, Columbia University MS in Computer Science, Columbia University Diplom (MSc equivalent), Technische Universität Berlin Research Interests: Höllerer explores AR/VR interfaces, spatial computing, human-computer interaction (HCI), and data visualization for analyzing large-scale information networks. His group develops solutions for 3D reconstruction, multimodal interaction, and applications in fields like digital fabrication, assistive technologies, and immersive storytelling. Publications Trends: Recent work spans AR navigation aids for visually impaired users, cognitive load analysis in VR, multimodal AI for spatial awareness, and creative applications like textile crafting and music instruments in AR. Scientific Awards: NSF Early Career Development Award Grants & Labs: Active in NSF-funded projects and directs the UCSB Allosphere Research Group. His lab collaborates on projects like Attention-Aware Mixed Reality Interfaces and Large-Scale Real-Time Information Visualization . Labs/Teams: Oversees the Allosphere, a unique immersive platform for data-driven exploration, and leads interdisciplinary teams advancing HCI and AR/VR technologies.

Misha Sraمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Extended Reality (XR)
• Artificial Intelligence
• +۸ مورد دیگر

Misha Sra is the John and Eileen Gerngross Assistant Professor in the Computer Science department at the University of California, Santa Barbara (UCSB). She holds courtesy appointments in the Department of Electrical & Computer Engineering, Psychological and Brain Sciences, Media, Art & Tech Program, and Cognitive Science Program. She is an affiliated faculty member of the Center for Responsible Machine Learning, Center for Aging and Longevity Studies, and Mind & Machine Intelligence. She directs the Human-AI Experience (HAX) Lab. Her research focuses on the intersection of Human-Computer Interaction (HCI), Extended Reality (XR), and Human-Centered Artificial Intelligence (AI). She investigates novel interfaces, interactions, tools, and systems for psychomotor skill acquisition, task guidance, and creative collaboration, particularly in spatial human-AI interaction. Her work explores AI's role in democratizing experiential interfaces, human-AI learning dynamics, and transitioning from data-centric to human-centric AI. Recent publications span AI-guided image editing, spatial memory in VR, emotion-aware interfaces, and mixed reality task support systems. Her research has appeared in venues like IEEE VR, ACM CHI, UIST, and ISMAR. Hellman Foundation Faculty Fellowship NSF Early CAREER Award Google Research Scholar Award IEEE Best Dissertation Award ACM CHI Best Paper Award Silver Edison Award ACM VRST Best Paper Award She advises PhD candidates in Computer Science, Electrical & Computer Engineering, and Media Arts & Technology. Her lab's projects address accessibility, AI ethics, and immersive system design, with grants supporting research on human-AI spatial collaboration and XR technologies.

Paul Bruce McIlvennyمشاهده پروفایل

استاد

• Communication Theory
• Qualitative methods
• Media Ethnography
• +۹ مورد دیگر

Paul Bruce McIlvenny is a Professor at the Department of Culture and Learning within the Faculty of Social Sciences and Humanities at Aalborg University. He leads research initiatives in the CLD (Communication, Language, and Discourse) Centre and the VILA - Video Research Lab . His work focuses on qualitative research methodologies, particularly in video-based analysis and immersive technologies. Education: Not explicitly stated in provided texts. Projects: Leads major projects like Big Video, CAVA360VR, and SIMVIDIA, focusing on immersive analytics, collaborative tools, and volumetric capture. Research Interests: Includes conversation analysis, discourse studies, mobility research, and innovative uses of virtual reality in qualitative methods. He advocates for 'Big Video' approaches integrating spatial and sensory data. Labs/Teams: Director of VILA Lab, collaborating with transdisciplinary teams on immersive technologies and qualitative innovation. Grants/Activities: Over 20 projects since 1998, with recent emphasis on software development for collaborative analysis (e.g., AVA360VR). Active in international conferences and editorial roles. Publications emphasize methodological innovation, including volumetric performance capture and spatial audio analysis. His work bridges social sciences with digital humanities through immersive technologies.

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.

• Auditory Neuroscience
• Speech Processing
• Cochlear Implants
• +۳ مورد دیگر

Chin-Tuan Tan is an Associate Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on auditory neuroscience, cochlear implants, and speech processing, with a particular emphasis on understanding neural mechanisms underlying speech perception in hearing-impaired listeners. His work integrates electrophysiological measurements (e.g., auditory evoked potentials, ERP, fMRI) with advanced signal processing techniques to improve cochlear implant outcomes and evaluate speech quality metrics. Key research areas include neural entrainment to speech signals, cross-frequency coupling in auditory processing, and the development of objective neurophysiological metrics for sound quality assessment in cochlear implant users. He has extensively studied the effects of noise suppression algorithms, spectral distortion, and acoustic models on speech perception, with applications in real-time adaptive hearing solutions. His contributions address critical challenges in cochlear implant design, including frequency table optimization, noise robustness, and binaural hearing restoration. Recent studies explore the electrophysiological correlates of pitch perception in electric-acoustic stimulation environments and the impact of sound level control on spatial auditory attention. His interdisciplinary approach bridges electrical engineering, neuroscience, and audiology, aiming to enhance speech understanding and quality of life for hearing-impaired populations.