Find Academic Supervisors

• Field programmable gate arrays (FPGA)
• Wireless sensor networks
• Acoustic waves and sensors
• +7 more

Abdellah Touhafi is a Professor at the Faculty of Engineering Technology, Department of Electronics and Informatics at Vrije Universiteit Brussel (VUB) in Brussels, Belgium. With an extensive research portfolio spanning nearly three decades, his work focuses on embedded systems, sensor networks, and FPGA technologies with applications in environmental monitoring and smart cities. His current research activities include leading multiple projects related to low-carbon technologies, health technologies, and sustainable sensing systems. Dr. Touhafi's research interests center around Field Programmable Gate Arrays (FPGA), wireless sensor networks, acoustic sensing, and machine learning applications for environmental monitoring. His work bridges hardware engineering with practical applications in smart city infrastructure, water quality monitoring, and sustainable sensing technologies. He has developed innovative approaches for hardware-assisted security mechanisms in environmental monitoring systems and has explored the integration of triboelectric sensors for self-powered sensing applications. His publication record shows consistent output with 154 research outputs, including recent articles in Sensors journal and conference papers at IEEE events. His h-index of 19 (with 1,433 citations) reflects significant impact in his fields of expertise. Current projects include DESTINY (Low-carbon solutions), GEAR (future health technologies), and ILSF 2024 (acoustic mapping). NSIS3: DESTINY: Low-carbon solutions and technology for a new future (2024-2029) OZR4208: Bilateral cooperation for joint PhD VUB-USMBA (2023-2027) IOF3016: GEAR: Future health technologies (2021-2025) BRGEOZ445: ILSF 2024 - This is the Sound of "ME" (2024) IOFACC12: Tech4Health (2024-2025) Dr. Touhafi actively supervises students and has served on PhD committees, including for projects related to sustainable public lighting and environmental monitoring systems. His research group has produced datasets like the AMIVU Acoustic Map Imaging VUB-ULB Dataset, demonstrating practical applications of his theoretical work. He regularly participates in conferences including IEEE events and has organized workshops on industrial electronics.

Edmund CampionView profile

Professor

• Music Composition
• Electronic Music
• Audio Technology
• +4 more

Edmund Campion is a Professor of Music Composition at the University of California, Berkeley , where he co-directs the Center for New Music and Audio Technologies (CNMAT) within the Department of Music. His career spans over 25 years as a composer, performer, software developer, and collaborator. Current affiliation: UC Berkeley (College of Letters and Science, Department of Music) Academic role: Professor Leadership: Co-Director at CNMAT Edmund Campion's research and composition focus on: Electronic music integration with traditional ensembles Multimedia performance art Interactive audiovisual experiences Algorithmic composition techniques Emergent sound technologies Cultural fusion through historical instruments His work spans both academic and artistic domains, with notable projects involving: Kronos Quartet collaborations Pacific Rim Festival performances Philharmonie de Paris premieres Development of spherical speaker array applications Scientific awards and recognition: Recipient of Guggenheim Fellowship (2016) Bearinger Award winner American Rome Prize awardee Lili Boulanger Prize recipient Paul Fromm Award at Tanglewood Goddard Lieberson Fellowship As an advisor, Campion has collaborated with: Audiovisual artist Kurt Hentschläger Korean Traditional Contemporary Orchestra San Francisco Contemporary Music Players He has received commissions from: Les Percussion des Strasbourg (2011) Société Générale (2011) Serge Koussevitzky Foundation (2012) ECO Ensemble (2014) French Ministry of Culture (2011) NEUMA Records (2023) Campion contributes to technological innovation through: Development of CNMAT Spherical Loudspeaker Array Integration of digital processing in live performances Exploration of algorithmic composition tools

Islah Ali-MacLachlanView profile

Professor

• Acoustics
• Audio Engineering
• Product Design
• +3 more

Professor Islah Ali-MacLachlan is a Professor in Engineering Product Design at Birmingham City University. With nearly 30 years of academic experience and an industry background, he integrates research, teaching, and industry collaboration to develop innovative curricula and enhance student employability. His leadership includes course development, external examining, and faculty-wide initiatives such as establishing industry advisory boards. His research spans acoustics, audio engineering, computational musicology, and product design, with £1.9M in secured grants for projects on building acoustics, live sound, and music technology. Key methodologies include: Psychoacoustic modeling in built environments Machine learning for music information retrieval Multimodal analysis of instrument performance Publication trends emphasize acoustics applications (e.g., cultural heritage, office soundscapes), computational analysis of traditional music, and sensor-based gesture recognition, frequently employing deep learning and signal processing techniques. He actively mentors PhD candidates and early-career academics and collaborates with professional bodies like the Institute of Acoustics and Audio Engineering Society.

Lu GanView profile

Senior Lecturer

• Signal Processing
• Compressed Sensing
• Machine Learning
• +10 more

Dr. Lu Gan is a Senior Lecturer in the Department of Electronic and Computer Engineering at Brunel University London, within the College of Engineering, Design, and Physical Sciences. She earned her B.Eng and M.Eng in Electronic and Information Engineering from Southeast University, China, in 1998 and 2000, followed by a Ph.D. in Information Engineering from Nanyang Technological University, Singapore, in 2004. Before joining Brunel in 2008, she held faculty positions at the University of Newcastle, Australia (2004-2006) and the University of Liverpool, UK (2006-2007). Her research spans fundamental signal processing theories, machine learning, and applications in image/video coding, non-destructive terahertz/ultrasound imaging, wireless communications, and sparse antenna arrays. Education: B.Eng (Electronic and Information Engineering), Southeast University, China (1998) M.Eng (Electronic and Information Engineering), Southeast University, China (2000) Ph.D (Information Engineering), Nanyang Technological University, Singapore (2004) Her research focuses on structured sparse signal processing for infrared/terahertz systems, super-resolution in non-destructive imaging, deep learning for terahertz data, non-orthogonal pilot design for 5G systems, and separation of singing voice from music. She has secured funding from EPSRC, Innovate UK, BBSRC, UK Atomic Energy Authority, and TWI. She actively contributes to academic service as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems-I, and as a Meta Reviewer for ICASSP 2025. Her work has been recognized with a Best Paper Award from the Journal of The British Blockchain Association in 2022 and a Gold Medal at the IEEE Audio and Acoustic Signal Processing Challenge (DCASE) in 2022. Dr. Gan also serves as a reviewer for top journals like IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing, and participates in grant panels for the Royal Society and EPSRC. Recent publications emphasize cross-domain speech enhancement architectures, terahertz data reconstruction via spatio-temporal dictionary learning, and coprime array designs using Chinese remaindering over quadratic fields. Her work bridges compressive sensing, lattice structures, and practical applications in healthcare and communication systems. She is a Senior Member of IEEE, Fellow of the Higher Education Academy (UK), and actively contributes to departmental leadership as Course Director for MSc Wireless Communication Systems, Level 3 Coordinator, and Social Media Administrator.

Ben ParkerView profile

Senior Lecturer

• Design of Experiments
• Statistics of Networks
• Social Networks
• +4 more

Dr Ben Parker serves as a Senior Lecturer in Statistics within the Department of Mathematics at Brunel University London's College of Engineering, Design and Physical Sciences. His research bridges theoretical statistics with real-world applications in networked systems, public health, and agricultural science. His academic credentials include: PhD in Statistics from Queen Mary, University of London MSc in Applied Statistics and Operational Research from Birkbeck College, University of London MA in Mathematics from Pembroke College, University of Cambridge Diploma in Computer Science from Pembroke College, University of Cambridge PCAP from University of Southampton Dr Parker's work centers on Design of Experiments , particularly optimal design methodologies for complex systems. He pioneers statistical approaches for network analysis in social and data communications contexts, alongside significant contributions to queueing theory and computational statistics . His research integrates algorithmic development with practical implementations in biostatistics and agricultural field trials, often addressing interdisciplinary challenges through innovative experimental frameworks. Publication trends reveal increasing focus on network-embedded experimental designs, with recent work applying statistical methods to systemic racism impacts in public health and optimizing agricultural experiments using network effects. His scholarship consistently connects theoretical advances in design theory to tangible problems across engineering, epidemiology, and social sciences. Professional recognition includes: Fellow of the Royal Statistical Society (FRSS) Fellow of the Higher Education Academy (FHEA) Dr Parker actively supervises PhD research, currently guiding projects on experimental design for online network learning. He promotes STEM engagement as co-presenter of a mathematics-focused podcast and through public outreach initiatives. While specific grant details aren't documented, his publication profile indicates sustained involvement in interdisciplinary research requiring advanced statistical design expertise.

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +3 more

Dr. Varuna De Silva is a Reader (Associate Professor) in Machine Intelligence at Loughborough University London, where he serves as Programme Director for the Artificial Intelligence and Data Analytics MSc programme. He joined as a Lecturer in 2016 after industry experience at Apical Ltd, where his patented algorithms were deployed in over 500 million devices. His research focuses on scaling AI to real-world engineering systems through multi-agent reinforcement learning, multimodal computer vision, and simulation modeling. Education: B.Sc. (Hons) Engineering, University of Moratuwa, Sri Lanka (2007) Ph.D. Electronic Engineering, University of Surrey (2011) PG Cert in Academic Practice, Loughborough University (2018) His work spans reinforcement learning architectures, neuromorphic computing, and AI applications in healthcare, environmental systems, and autonomous vehicles. Recent publications demonstrate strong emphasis on interpretable AI, brain-computer interfaces, and causal reasoning in multi-agent environments, with consistent cross-disciplinary integration of machine learning techniques. Awards: IEEE Chester Sall Award, Consumer Electronics Society (2010) Vice Chancellor's Award for Best Post Graduate Research Student (2011) Overseas Research Scholarships Award (2008) He leads EPSRC-funded projects on next-generation machine intelligence and maintains industrial collaborations. As module leader for Bayesian Methods in Deep Learning and Statistical Methods in Finance, he drives curriculum development in AI. His team actively researches autonomous systems and human-AI interaction frameworks.

Alistair MacDonaldView profile

Professor

• Electroacoustic Composition
• Live Electronics
• Field Recording
• +3 more

Alistair MacDonald serves as Professor and Director of the Electroacoustic Studios at the Royal Conservatoire of Scotland (RCS), where he also teaches composition. Appointed Fellow of RCS in 2012 and promoted to Professor in 2017, he actively accepts PhD students and maintains current research output through 2025. His institutional roles center on electroacoustic music education and studio leadership. MacDonald's research explores field recording, live electronics, interactivity, and improvisation through international collaborations with performers, artists, and choreographers. Key projects include AD 1136 (2023) for voice/electronics at Glasgow Cathedral, film collaborations like The moss and the cosmos (2021), dance works with Reckless Sleepers (2018-22), and cross-disciplinary pieces such as Le Sirenuse for glass percussion/electronics. His practice spans performance, broadcast, and installation media with emphasis on spatialized sound design. His 56 research outputs (1998-2025) demonstrate consistent electroacoustic innovation, particularly in vocal processing (2023-2025), collaborative film scoring (2021-2022), and interdisciplinary installations (2014-2015). Recent works integrate historical contexts like Hildegard von Bingen's writings with contemporary electronics, while ongoing METRIC network activities show European collaboration in music technology education. Creative Scotland Award (2002) for Sensuous Geographies installation Multiple festival commissions including Made in Scotland showcase (2017) Selected for Royal Scottish Academy Open Exhibition (2015) Coburg Prize for Contemporary Glass finalist (2014) MacDonald leads the Electroacoustic Studios at RCS while maintaining external examiner roles at Newcastle University (2020-2026). His collaborative network spans UK, Germany, Belgium, Norway, and Australia with commissions from Scottish Ensemble, BBC Radio Scotland, and Theatre Cryptic. Current projects include METRIC intensive workshops in Helsinki (2025) and Antwerp (2024), focusing on international electroacoustic pedagogy development. His studio practice involves custom computer-based sound processing environments for spatialized music creation, documented through releases on empreintes DIGITALes. Ongoing collaborations include vocalist Stephanie Lamprea and harpist Catriona McKay, with recent recordings like OTSEGO (2023) and Postcards (2023) available on Bandcamp.

• Computer Graphics
• Physically Based Animation
• Motion Capture
• +4 more

Paul G. Kry is an Associate Professor in the School of Computer Science at McGill University, where he leads the Computer Animation and Interaction Capture Laboratory. His research focuses on physically based animation, computer graphics, and human motor control, with applications in video games, movies, training simulations, ergonomics, and robotics. He teaches graduate and undergraduate courses including COMP 557 (Fundamentals of Computer Graphics) and COMP 559 (Fundamentals of Computer Animation). Dr. Kry's research interests center on computer graphics, physically based animation, skin deformations of articulated characters, motion capture, interaction, and physically based modeling of humans and animals. He investigates human and animal motor control (locomotion, grasping, manipulation) in combination with the physics of rigid objects, deformation, and contact. His work emphasizes the combination of real-world measurements, approximate models, and physically based simulation, with additional interests in machine learning, numerical methods, and audio. His recent publications demonstrate strong trends in physically based animation, with focus areas including adaptive simulation techniques, real-to-sim calibration, constraint-based physics, neural network applications in graphics, and motion control policies. His work spans both theoretical foundations and practical applications, often bridging the gap between computer graphics and robotics. BEST PAPER at Graphics Interface, 2023 BEST STUDENT PRESENTATION at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2019 BEST PAPER at Computational Aesthetics / Expressive, 2016 Dr. Kry actively supervises numerous PhD and MSc students, with many graduates going on to positions at leading companies including Ubisoft, Google, Facebook, and Autodesk. He has served on program committees for major conferences including ACM SIGGRAPH, Symposium on Computer Animation, and Graphics Interface. His lab maintains specialized equipment including a 24-camera motion capture system, force plates, consumer DSLR cameras, high-speed cameras, data gloves, quadrotor robots, and various pressure sensors.

Sarah CiurysekView profile

Associate Professor

• Photography
• Installation Art
• Relationship between image and object
• +7 more

Sarah Ciurysek is an Associate Professor at the School of Art, University of Manitoba, where she teaches and maintains an active studio practice. Her work explores humanity's complex relationship with the ground and soil through photography, installation, and interdisciplinary media. Raised on a farm in Treaty 8 territory in northern Alberta, her personal connection to land deeply informs her artistic practice. Her educational background includes a BFA from Emily Carr University of Art + Design (2003) and an MFA from Parsons The New School for Design and Concordia University (2007). Ciurysek's research examines the relationship between image and object, the emotional impact of physical artworks, embodiment in relation to time, and often addresses overlooked perspectives including rural sensibilities and women's experiences. Her practice centers around photography's intersections with audio, film, and textiles, using installation to disrupt conventional viewer experiences of ground and space. She frequently creates immersive environments where photographic elements interact with architectural spaces—whether towering overhead, embedded in floors, or transforming gallery walls. Analysis of her creative output reveals consistent engagement with themes of mortality, memory, and the life-giving properties of earth. Her work often references graves, voids, and death while simultaneously highlighting soil's regenerative capacities. Technically, she moves fluidly between analog and digital processes, sometimes combining them in hybrid approaches that emphasize materiality and process. Canada Council for the Arts grants Manitoba Arts Council grants Winnipeg Arts Council grants Alberta Foundation for the Arts grants Ciurysek has exhibited her work extensively across Canada and internationally in the UK, Austria, and South Africa. Her projects often emerge from residencies and site-specific engagements, such as her work at Textilsetur in Iceland and Schleifmühlgasse in Vienna. She frequently collaborates with communities and incorporates local narratives, as seen in her audio walk Grounded, Leaping created during a residency for the United Nations International Year of Soils.

Márton Gáspár NagyView profile

Assistant Professor

• Cognitive Psychology
• Statistical Learning
• Developmental Psychology
• +3 more

Márton Gáspár Nagy is an Assistant Professor at the Department of Cognitive Psychology, Institute of Psychology, Eötvös Loránd University. His research focuses on cognitive psychology, statistical learning, and developmental neuroscience. Research Group: Social Minds Research Group Role: Academic Researcher Institution: Eötvös Loránd University His work investigates statistical learning mechanisms across modalities, visual chunking, and attentional processes. He examines how humans and honeybees process complex stimuli, with recent publications analyzing pupil dynamics, temporal asynchrony, and neural signatures of memory in infants and adults. Current trends in his publications include cross-modal statistical learning (2018–2021), visual pattern recognition (2017–2022), and comparative cognitive studies between species (2019–2020). Key themes involve cognitive adaptation, sensory integration, and neural plasticity.

Kristian JambrošićView profile

Professor

• Acoustics
• Audio Engineering
• Room Acoustics
• +3 more

Kristian Jambrošić is a Full Professor at the Department of Electroacoustics, Faculty of Electrical Engineering and Computing, University of Zagreb. With a career dedicated to acoustics and audio engineering, his work spans architectural acoustics, binaural audio systems, and biomedical sound applications. Current Head of the Department of Electroacoustics Research focuses on immersive sound systems, urban soundscapes, and medical acoustics Research Trends from his publications include spatial audio technologies, noise pollution mitigation, and interdisciplinary applications of acoustics in agriculture and medicine. Key Projects involve: Development of the AURALAB auralization laboratory Acoustic design for historical and modern concert venues Advancements in fetal heartbeat detection via audio processing

Joo Won ParkView profile

Associate Professor

• Electroacoustic composition
• Music technology
• Electronic ensemble performance
• +4 more

Joo Won Park is an Associate Professor of Music Technology at Wayne State University, creating experimental electroacoustic compositions through electronics, toys, and everyday objects. His work has been featured at international festivals (ICMC, SEAMUS) and released across multiple labels (MIT Press, PARMA). He received the Kresge Arts Fellowship (2020) and Knight Arts Challenge Detroit (2019). Teaches courses like Theories of Electronic Music and Advanced Synthesis Director of Electronic Music Ensemble of Wayne State (EMEWS) which toured nationally Park's research focuses on making mundane sounds musical through creative coding and hardware manipulation. His 100 Strange Sounds YouTube series and Overundertone album archive his exploration of sonic possibilities in everyday environments. He emphasizes portability, affordability, and replicability in electronic instrument design. His electroacoustic works explore themes like human-machine interaction , game controller performance , and playful sound manipulation . The PS Quartet No.1 exemplifies his interest in video game muscle memory and controlled randomness in live performance. Scientific awards include: Knight Arts Challenge Detroit (2019, 2021) Kresge Artist Fellowship ($25,000, 2020) New Music USA Grant (2019) Active in the electroacoustic community as: Board member, Society for Electroacoustic Music in the United States Editorial member, Korean Electroacoustic Music Society Associate Director, Third Practice Electroacoustic Music Festival

Ben JohansenView profile

Senior Lecturer

• Music Composition
• Computer Music
• Electroacoustic Music
• +3 more

Ben Johansen, PhD is a Senior Lecturer in Composition & Computer Music at the University of North Texas School of Music , with nearly two decades of experience merging coding, music, and technology in creative projects, teaching, and research. His work spans acoustic and electronic music , improvisation , and the intersection of art and Christianity . Education: Bachelor’s in Music Education, Baylor University Master’s in Music Composition, Baylor University PhD in Music (Composition + Computer Media specialization + Installation Art minor), University of North Texas Johansen’s research emphasizes intuitive interactions, modularity , and physical computing , utilizing tools like Max, Arduino, JavaScript , and Logic Pro . His compositions often integrate interactive computer systems with traditional and electronic instruments, as seen in works like Light Box (Arduino-controlled metal sculptures with RGB LEDs) and Recycled Sound (sound-making metal sculptures). As webmaster for the Baylor School of Music , he redesigned their website in 2017 and is currently updating it in Drupal . His teaching portfolio includes courses in Technology for Musicians , Electroacoustic Music Composition , and advanced individual lessons. Contact: b_johansen@baylor.edu | benjohansen.com

• Audio Information Processing
• Hearing Acoustics
• Signal Processing
• +3 more

Univ.-Prof. Dr.-Ing. Bernhard U. Seeber is a full Professor at the Technical University of Munich (TUM), leading the Professorship of Audio Information Processing within the School of Computation, Information and Technology and Department of Computer Engineering. His research focuses on auditory signal processing, hearing prosthetics, and virtual acoustics, with affiliations including the Bernstein Center for Computational Neuroscience Munich and Munich Institute of Biomedical Engineering.

Matthieu KuntzView profile

Researcher

• Audio Signal Processing
• Virtual Acoustics
• Psychoacoustics
• +4 more

Matthieu Kuntz is a research assistant at the Chair of Audio Signal Processing at the Technical University of Munich since 2018. His work focuses on virtual acoustics , sound field synthesis , and psychoacoustic research , particularly for applications in hearing aids and cochlear implants. Education : Diploma in Vibration and Acoustics (2015-2018) from the National Engineering School of Le Mans (ENSIM) Research : Specializes in spatial sound reproduction, dynamic loudspeaker equalization, and analysis of auditory perception for moving sound sources His publications (2019-2024) demonstrate expertise in ambisonics , interaural features , auralization , and noise transmission applications. He contributes to the Professorship for Audio Signal Processing led by Prof. Dr.-Ing. B. Seeber.