Professor Patrick Gaydecki leads the Control, Robotics and Communications Division at the University of Manchester. His research develops DSP systems for audio processing, insect tracking, biomedical instrumentation, and non-destructive testing. Innovations include real-time acoustic analysis systems and wearable technology. Commercialized technologies through Signal Wizard Systems Ltd. are used by organizations including Disney and US Space and Naval Warfare Systems. Biomedical collaborations involve Manchester Heart Centre and neonatal units.
Dr. Prasanga Samarasinghe is an Associate Professor at the Australian National University (ANU) within the College of Systems & Society. Her research focuses on spatial audio, acoustic signal processing, and drone audition. She holds a B.E. in Electrical and Electronic Engineering from the University of Peradeniya (2010) and a PhD in Signal Processing from ANU (2015). Key professional achievements include a 2022 Fulbright Fellowship at Yale University and the 2023 ARC DECRA Fellowship. She has secured significant funding through ARC Linkage, Discovery grants, and industry partnerships with Sony, Dolby, and META. Her industry experience includes roles at Dolby Laboratories and collaborations with defense-related entities like the Australian Signals Directorate. Research Groups: Joint supervisor of ANU Audio and Acoustic Signal Processing Group Professional Roles: Member of IEEE Signal Processing Society's Audio & Acoustic Signal Processing TC (2021–2023), former Chair of IEEE ACT Section's COMMS/SP Chapter (2018–2020) Her work bridges theoretical advancements in spatial audio with practical applications in noise cancellation, drone audition, and virtual acoustics. She actively supervises PhD and Honours students in these areas. Awards: Fulbright Fellowship (2022), ARC DECRA (2023) Industry Collaborations: Sony-Japan, Dolby (Sydney/USA), META (USA), Australian Defence Portfolio
Michael Heilemann is an Associate Professor of Electrical and Computer Engineering at the Hajim School of Engineering & Applied Sciences, University of Rochester. He holds a PhD from the same university (2018) and has been on faculty since 2018, focusing on instructional roles. His research emphasizes acoustics and vibration, human-computer interfaces, spatial audio, and digital audio effects, funded by the NSF, ONR, and New York State initiatives. He has been awarded eight patents and multiple teaching awards. Education: B.S. Physics (Canisius College, 2013); M.S. and Ph.D. in Electrical Engineering (University of Rochester, 2015 and 2018). Research interests include structural acoustic sensing, smart surfaces, and embedded machine learning for sound analysis. Notable work includes the University of Rochester room impulse response dataset and touch-location sensing on elastic surfaces. Awards include the AES Best Technical Paper (2022) and ECE Teaching Excellence (2023-2024). His work bridges signal processing and mechanical systems, with applications in audio interfaces, tactile feedback, and smart environments. Collaborative grants support projects like smart acoustic surfaces as multimodal interfaces.
Dr. Mohd. Tasleem Khan is an Assistant Professor at the Institute of Sensors, Signals, and Systems (ISSS), School of Engineering and Physical Sciences (EPS), Heriot-Watt University. Previously, he held roles as Principal Engineer at TSMC (2019), Assistant Professor at IIT Dhanbad (2020–2021), Research Consultant at KAUST (2020–2021), and Postdoctoral Researcher at Linköping University (2021–2024). He earned his Ph.D. in VLSI for signal processing and communication systems from IIT Guwahati (2019). His research focuses on Machine Learning/AI, Signal Processing, and Communication Systems, with expertise in VLSI architectures. Key contributions include energy-efficient designs for neural networks, adaptive filtering algorithms, and 6G systems. His work bridges theoretical algorithms with hardware implementation, emphasizing low-power and high-throughput solutions. Publications span circuits, systems, and interdisciplinary areas like biochemistry, showcasing his interdisciplinary approach. He has contributed to advancements in distributed arithmetic-based architectures, LMS filters, and FPGA implementations. Current affiliations include the Microwaves and Antenna Engineering Group at Heriot-Watt University, a global leader in wireless systems research.
Prof. Dr. Renato Pajarola is the Head of the Visualization and MultiMedia Lab at the Department of Informatics, University of Zurich. His research focuses on computer graphics, scientific visualization, and geometric processing, with applications in 3D scanning, point cloud analysis, and real-time rendering. He leads a team developing advanced visualization techniques for high-dimensional data, parallel rendering frameworks, and interactive systems for complex datasets. Key research areas include: 3D reconstruction of indoor environments Tensor approximation for volume visualization Interactive ray tracing and point cloud processing Parallel rendering frameworks (e.g., Equalizer) Scientific computing and sensitivity analysis His recent publications emphasize: High-dimensional data exploration using tensor methods Efficient rendering techniques for large-scale point clouds Integration of citizen-reported weather data for environmental analysis Prof. Pajarola’s lab collaborates on projects like VIAN (visual annotation tool for film analysis) and Terrender (web-based terrain visualization). His Erdős number is 3, reflecting interdisciplinary research connections in mathematics and computer science.
Adjunct Professor Andrew Bradley is affiliated with Queensland University of Technology (QUT), where he serves as the Associate Dean (Research) for the Science and Engineering Faculty. He holds positions in the Faculty of Engineering and School of Electrical Engineering & Robotics at QUT. Bradley has a PhD from the University of Queensland and extensive industry experience, including roles as Chief Technology Officer at Ausonex Pty Ltd and Principal Biomedical Engineer at Maxwell MRI. His expertise spans biomedical and electrical engineering, computing science, and communications technology. His research focuses on computer-aided diagnosis (CAD) systems in medical imaging, machine learning, medical device design, and statistical pattern recognition. He has contributed to projects involving deep brain stimulation, artificial hearts, neonatal hearing screening, and cancer diagnosis imaging. His work bridges academia and industry, emphasizing commercially oriented solutions while maintaining a strong publication record. Bradley has published over 140 peer-reviewed papers and holds 20 patents across multiple regions. His research has garnered over 8,400 citations with an h-index of 35. He has secured $6M+ in competitive grants and supported startups raising $4M in venture capital. His awards include the ARC Future Fellowship and Fellow of Engineers Australia. He has advised 21 PhD and 4 Research Masters graduates, with three current advisory roles. Bradley’s contributions span interdisciplinary collaborations and innovation in labs focusing on medical imaging, AI, and biomedical engineering applications.
Philip Jackson is a Professor in Machine Audition at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. His research focuses on audio-visual machine learning, spatial audio technologies, object-based media production, and responsible AI applications. He has over 200 publications and an h-index of 30, contributing to projects like Nephthys, BALTHASAR, and SAVEE. He served as an associate editor for Computer Speech and Language and reviewer for major journals like IEEE/ACM Transactions on Audio, Speech and Language Processing. Key research interests include sound localization, audio-visual tracking, reverberation modeling, and ethical implications of AI in media. His work spans datasets such as Tragic Talkers, SurrRoom, and ForecasterFlexOBM, advancing immersive audio-visual systems and personalized media experiences. Notable projects include spatial audio reproduction for VR, parametric room acoustics, and citizen council research on algorithmic transparency. He has advised over 20 PhD/Master’s students and collaborates with industry on applications like the Catalan Pavilion's Venice Biennale installation. His grants include UK postdoctoral fellowships and leadership in EU-funded initiatives like UDRC2 and QESTRAL.
Associate Professor Wong Kok Sheik is the Deputy Head (Research) at the School of Information Technology, Monash University Malaysia. He holds a Doctor of Engineering from Shinshu University (Japan) and advanced degrees in Computer Science and Mathematics from Utah State University (USA). His research focuses on multimedia signal processing, cybersecurity, and digital health, with contributions to data hiding, encryption, and smart grid security. He leads a EU-funded WAge project on post-pandemic workplace health interventions. Education: PhD in Engineering, Shinshu University, Japan (2009) Masters in Computer Science & Mathematics, Utah State University, USA (2005-2004) Bachelor of Science, Utah State University, USA (2002) Professional Roles: Associate Editor, IEEE Signal Processing Letters Member, IEEE Signal Processing Society’s IFS Technical Committee Board Member, APSIPA Multimedia Security and Forensics (MSF) Committee His research interests span multimedia forensics, encrypted domain processing, and cybersecurity frameworks. Notable projects include recovery of missing coefficients in compression standards and HDR imaging enhancement. Recent work integrates digital health, addressing workplace mental/physical health in post-pandemic environments. Publications reflect expertise in watermarking, encryption, and biometric security. Key contributions include encryption-resistant data embedding and secure smart grid analytics. Awards include IEEE CES Service Awards (2015, 2016) and Best Paper recognitions. He supervises over 20 PhD/MSc students, focusing on topics like biometric recognition, data hiding, and anomaly detection. Grants include a €2M EU Horizon 2020 project (IDENTITY) and a RM146k smart grid initiative. His teaching emphasizes foundational IT research methods and theoretical computer science.
Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.
Erik Nystrom is a composer and academic at City, University of London, specifically affiliated with City St George's, where he conducts research and artistic work in electroacoustic and computer music. His practice centers on multichannel sound, spatial texture, and live interactive performance using algorithmic systems. He previously held a Leverhulme Early Career Fellowship at the University of Birmingham’s BEAST studio, contributing significantly to spatial synthesis and performance aesthetics. Education: PhD in Electroacoustic Music, City University, London (supervised by Denis Smalley) MA in Electroacoustic Music, City University, London (supervised by Denis Smalley) Erik’s research explores the intersection of human and machine agency in improvisation, focusing on post-human cognition, nonconscious processes, and the concept of intra-action. His work integrates machine learning, agent-based systems, and real-time synthesis, particularly through the SuperCollider environment. He investigates how algorithmic systems can co-create with human performers, generating emergent sonic textures through feedback and listening behaviors. Key themes include spatial sound, acousmatic improvisation, and the philosophical underpinnings of technological creativity. His 15 most recent works and publications reveal a strong trend toward algorithmic improvisation, cognitive assemblages, and spatial synthesis. The articles and compositions emphasize machine learning, real-time interaction, and the blurring of composition and performance. Subfields such as post-human attractors, topographic synthesis, and listening agents dominate his recent output, reflecting a deep engagement with both technical innovation and philosophical inquiry in music. Scientific Awards: Leverhulme Early Career Fellowship (2015–2018) The Merciful Company Cordwainer's Prize for Outstanding Achievement on the MA Programme Mercer's Music Prize for Most Outstanding Achievement on the PhD Programme Audience Prize at Metamorphoses International Electroacoustic Composition Competition, Brussels (2010) Erik has advised no formal students listed in the text, but his research has been supported through competitive grants such as the Leverhulme Fellowship. He has presented his work globally at major conferences including ICMC, SMC, NIME, and Beyond Humanism. His compositions have been released by empreintes DIGITALes and performed at institutions like the University of Oxford and De Montfort University. He is actively involved in creative labs and research teams, notably through his work with BEAST (Birmingham Electroacoustic Sound Theatre) and participation in symposia such as the IKO/OSIL Symposium in Graz, Austria. His current practice involves developing interactive systems for live spatial performance, often involving collaborative electroacoustic composition with intelligent agents.
Laurent Girin is a Professor at Grenoble Institute of Technology (Grenoble-INP), a member of Univ. Grenoble Alpes. He teaches within PHELMA (Physics, Electronics and Materials Department) and conducts research at GIPSA-Lab, a CNRS-associated laboratory focused on image, speech, signal, and automation sciences. He also maintains a collaborative relationship with the INRIA-Perception research team, contributing to advanced perception systems and audio-visual signal analysis. His research interests lie primarily in speech and audio signal processing , with applications in human-machine interaction, acoustic modeling, and machine learning for audio. His work bridges engineering and cognitive sciences, aiming to model and understand complex audio signals in real-world environments. Laurent Girin has contributed extensively to the field through publications in signal processing and audio analysis. While specific titles are not listed here, his research trends indicate a strong focus on computational auditory scene analysis, speaker tracking, and multimodal perception systems. Member of GIPSA-Lab, CNRS & Univ. Grenoble Alpes Regular collaborator, INRIA-Perception team He advises students in signal processing and audio technologies, though specific names are not provided. There is no public information on grants or funding sources in the provided text. His work is supported through institutional collaborations between Grenoble-INP, CNRS, and INRIA. Laurent Girin is actively involved in research teams focusing on perception and signal processing, particularly within the GIPSA-Lab and INRIA-Perception environments. These labs specialize in advanced signal analysis, machine learning for sensory data, and intelligent systems development.
Adrian Hilton is a Professor of AI and Computer Vision at the University of Surrey, UK. He serves as the Founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing. His research focuses on advanced fields such as 4D Vision, Computer Graphics, and AI-driven Digital Doubles. He holds prestigious fellowships including Fellow of the Royal Academy of Engineering, IET Fellow, and IAPR Fellow. His work spans interdisciplinary areas like Virtual/Augmented Reality, Light Fields, and Audio-Visual Signal Processing. No specific grants, students, or recent publications are detailed in the provided text, but his leadership roles highlight significant contributions to AI and computer vision research.
Xiaoqian (Tiffany) Zhang is an Assistant Professor in the Department of Computer Science at the University of Nebraska at Omaha (UNO) College of Information Science & Technology. Her work focuses on cloud computing, computer networking, and cybersecurity. Education: Ph.D. in Computer Science (University of Massachusetts Boston, 2023), MS in Mathematics (New York University, 2014), BA in Mathematics and Economics (Skidmore College, 2012) Her research explores cloud computing and networking with emphasis on machine learning and cybersecurity . Recent work addresses challenges in disaggregated storage systems , edge computing , and augmented reality . She received the DOE NNSA Joule Award (2022) for her scholarship. Her publications span topics including network congestion control , distributed file systems , and audio noise filtering . She teaches courses in cloud computing and computer networking .
Rodge Glass is a Senior Lecturer in Creative Writing at the University of Strathclyde within the School of Humanities. Specializing in fiction, creative non-fiction, and experimental writing, his academic work emphasizes rigorous engagement with contemporary writers alongside historical research. He holds a PhD funded by the AHRC for his biography of Alasdair Gray, which won the Somerset Maugham Award for Non-Fiction. His dual identity as a novelist and scholar is central to his teaching philosophy, blending creative process with critical analysis. Education: BSc in History/European Politics (Strathclyde), MPhil (Strathclyde/Glasgow), AHRC-funded PhD Key Roles: Convener of MLitt Creative Writing, Director of the International Alasdair Gray Research Network Research focuses on Alasdair Gray’s literary and artistic legacy, Scottish cultural history, and the intersection of memoir with medical narratives. Awards include the Anne Brown Prize for his essay ‘On the Covenant’ (2023). Collaborates widely with institutions like the Alasdair Gray Archive and BBC Radio. Current projects include organizing the 2nd International Alasdair Gray Conference and promoting Gray’s work globally. Publications span novels, biographies, essays, and audio stories for children. Media appearances include BBC Radio 4’s Take Four Books and Sunday Morning panel discussions on topics ranging from faith to geopolitical conflict.
Magda Nenycz-Thiel is a Professor and the Industry Growth Professor at the Ehrenberg-Bass Institute for Marketing Science, University of South Australia. She previously held the Mars Professor of Marketing position and led the Mars Marketing Lab from 2013 to 2016. Her work is centered on advancing evidence-based marketing through rigorous research and industry collaboration. Her core research interests include category and industry growth , e-commerce , and neuromarketing . She explores how brands grow, consumer behavior in retail environments, private label dynamics, and the effectiveness of advertising using biometric and behavioral data. Her interdisciplinary approach integrates marketing theory with empirical data analysis to derive actionable insights for industry stakeholders. The analysis of her recent publications reveals a consistent focus on understanding consumer purchasing patterns, brand performance, and market dynamics using large-scale datasets. Her work spans retail analytics , new product performance , advertising effectiveness , and private label branding , often leveraging scanner data, panel studies, and neuromarketing techniques. She frequently collaborates with leading scholars such as J. Romaniuk and J. Dawes, contributing to foundational knowledge in marketing science. Magda has made significant contributions through her publications in top-tier journals and book chapters in How Brands Grow: Part 2 . She regularly presents her findings to both academic and industry audiences globally, bridging the gap between research and practice. Her work with the Ehrenberg-Bass Institute includes producing influential reports for corporate sponsors on topics such as sustainable marketing, shopping behavior, and brand measurement. She is actively involved in leading the Industry Growth Initiative, which applies research discoveries to improve how organizations make growth investments. Her leadership in R&D initiatives funded by Mars Incorporated highlights her strong industry engagement. While no formal advising or grant details are listed, her role implies mentorship within the institute’s research team and involvement in major funded projects. Magda is affiliated with the Ehrenberg-Bass Institute for Marketing Science, a world-leading center for marketing research, operating under the UniSA Business School. The institute functions as a collaborative hub for marketing scientists, focusing on empirical research and industry application. Her work exemplifies the institute’s mission of promoting evidence-based marketing practices through scientific rigor and real-world relevance.
