جست‌وجوی استاد و پژوهشگر

Juan Carlos Torrado Vidalمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Interaction Design
• Assistive Technologies
• +۴ مورد دیگر

Juan Carlos Torrado Vidal is an Associate Professor at the Department of Computer Science and Communication, Oslo and Akershus University College of Applied Sciences. His research focuses on Interaction Design, particularly using technology to enhance accessibility and inclusion for vulnerable populations. He has held roles including Postdoctoral Researcher (University of Bergen), ERCIM Fellow (NTNU), and Teaching Assistant (Universidad Autónoma de Madrid). His academic interests include Human-Computer Interaction, Assistive Technologies, and Mobile/Wearable Technologies. He actively contributes to courses like Interaction Design and collaborates on projects such as the ActiveAgeing study exploring wearable data in healthcare. Publications span topics from elderly community living to Parkinson’s disease monitoring via wearables, emphasizing interdisciplinary research. Collaborations include work on apps like HikePal and Alight, designed to support individuals with disabilities through inclusive technology.

• User Experience Design
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Hyo Jeong Kang is an Assistant Professor at the University of Florida's Digital Worlds Institute, specializing in VR/AR interaction design for educational and workforce training applications. She holds a Ph.D. in Design Studies from the University of Wisconsin–Madison with a concentration in Virtual Reality, complemented by an M.S. from Seoul National University and a B.B.A. from Ewha Womans University. Her research develops intuitive VR interfaces for non-technical users, focusing on microelectronics training, autism support tools, and inclusive design addressing racial microaggressions. Dr. Kang leads multiple NSF-funded projects including semiconductor workforce development programs and VR training for microelectronics physical assurance. Her work bridges immersive technology with practical applications in industry training and social equity. Major Grants: NSF ExLENT: Preparing Autistic individuals for Semiconductor QA Engineering ($620,104) NSF SaTC:EDU: Next-Gen VR Training for Microelectronics ($497,905) NSF Engine: Central Florida Semiconductor Innovation Engine ($2.35M UF sub-award) US Army SCALE: Microelectronic Workforce Development ($450,000 UF sub-award)

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 .

• Machine Learning
• Digital Preservation
• Privacy-Preserving Data Analysis
• +۶ مورد دیگر

Rudolf Mayer is an Lecturer at the School of Logic and Computation and School of Information Systems Engineering at Vienna University of Technology . He is affiliated with the university through his roles in teaching and research, focusing on Machine Learning , Digital Preservation , and Privacy-Preserving Data Analysis . His work spans both academic research and applied projects, with a strong emphasis on collaborative and secure data management . His research interests include Machine Learning , Privacy-Preserving Techniques , Digital Preservation , and Music Information Retrieval . Over his career, Mayer has contributed to Developing frameworks for digital preservation of scientific and business processes Advancing privacy-preserving data analysis through platforms like WellFort Exploring adversarial machine learning and model stealing attacks Integrating semantic web technologies into data management systems His publications highlight trends in collaborative cybersecurity , model robustness , and digital archiving with applications in federated learning, self-organizing maps, and music analysis. Mayer has supervised 15+ graduate students , covering topics such as adversarial attacks , model watermarking , and privacy-preserving anomaly detection . Notable projects he has been involved in include the NEWSROOM initiative for cybersecurity automation, the Research Studio Digital Memory Engineering , and contributions to the PLANETS project for long-term digital access.

Tom Maysمشاهده پروفایل

استاد

• Real-Time Sound Processing
• Interactive Music Technologies
• Electronic Instrument Design
• +۳ مورد دیگر

Tom Mays is a Professor of Music Technology at the Conservatoire et Académie Supérieure de Musique de Strasbourg (Haute Ecole des Arts du Rhin) and a doctoral student in Musicology at the University of Paris 8 Vincennes-Saint-Denis. His career spans 30 years of composition, teaching, and research in real-time music systems. He specializes in electronic instrument design, interactive installations, and the integration of digital tools into acoustic performance. Current affiliations include the LabEx GREAM research group and teaching roles in composition and sound design. Education: B.A. in Composition (1990, San José State University), Master's in Arts (2010, Paris 8), ongoing PhD in Musicology (Paris 8). Professional milestones include 10 years at IRCAM (1994–2004), founding the Césaré music center (1992), and developing the CRT real-time composition environment. Awards include a 2002 CNC-DICREAM grant for multimedia research. Research focuses on real-time sound processing, gestural control systems, and hybrid instrument design. Notable projects include 'Acousmeaucorps' (2005–2011), 'Le Patch Bien Tempéré' series (2010s), and collaborations with ensembles like Les Percussions de Strasbourg. His work bridges academic research and artistic practice, emphasizing interdisciplinary creation.

Jonathan Adamsمشاهده پروفایل

استاد

• Artificial Intelligence
• Synthetic Media
• Computer Vision
• +۵ مورد دیگر

Dr. Jonathan Adams is a Professor at Florida State University's School of Communication, where he manages the FSU Computer Vision Lab in the William-Johnston Building. His work focuses on synthetic data generation for AI training, unmanned aerial systems, interactive media design, and entrepreneurship education. Ed.D. in Curriculum & Teaching – Educational Media / Technology from Boston University M.Ed. in Instructional Design – Media Design from University of Massachusetts, Boston B.A. in Music with Psychology concentration from University of Massachusetts, Lowell Dr. Adams' research spans artificial intelligence, synthetic media, and educational technology. His lab develops explainable computer vision algorithms for applications like search and rescue, utilizing YOLO and OpenCV. He also explores UAV-based data collection and interdisciplinary entrepreneurship education. His recent publications address synthetic data evaluation, AI in higher education, and online degree acceptance. The lab's work has commercialization outcomes like Shark-Finder and OSRAI. 19 awards in teaching, research, and software design 1st Prize, Association for Education, Journalism, and Mass Communication (2009) Gold Award Winner, Parent's Choice Software Design (2006) Fulbright Scholar (2015) Dr. Adams advises startups through 3 Day Startup and Domi Ventures, and has organized events like Hack FSU and Silicon Tally. He holds certifications in FAA part 107 UAS piloting, project management (PMP), and multiple teaching licenses.

Tim Davisمشاهده پروفایل

استاد

• Sparse Matrix Algorithms
• Applied Mathematics
• Graph Theory
• +۴ مورد دیگر

Tim Davis is a Professor in the Department of Computer Science and Engineering at Texas A&M University. His research focuses on sparse matrix algorithms, applied mathematics, and graph theory, with contributions to software such as SuiteSparse and GraphBLAS. He holds Fellowships from SIAM, ACM, and IEEE, and received the 2018 Walston Chubb Award for Innovation. Education and Affiliations PhD in Electrical Engineering from the University of Illinois Postdoctoral work with Iain Duff at CERFACS, Toulouse Adjunct roles and collaborations with NVIDIA, Intel, and Redis Labs Research Interests His work bridges graph theory and numerical linear algebra, emphasizing efficient sparse matrix algorithms. Key contributions include: Development of SuiteSparse, a suite of sparse matrix algorithms used in MATLAB, SPICE, and Google's Ceres Solver GraphBLAS: a standard for graph algorithms expressed via sparse linear algebra The SuiteSparse Matrix Collection, a benchmark for sparse matrix research Publications Recent work includes advancements in parallel GraphBLAS implementations, sparse QR factorization on GPUs, and algorithmic art. Over 50 peer-reviewed articles and two books highlight his impact. Grants and Collaborations Funded by NVIDIA, Intel, Redis Labs, IBM, and Julia Computing Collaborators include Yifan Hu (AT&T), Tim Mattson (Intel), and Aydın Buluç (LBNL) Labs and Teams Leads the Texas A&M team for GraphBLAS development and maintains close ties with industry partners like Redis Labs for RedisGraph integration.

Alexandra Uitdenbogerdمشاهده پروفایل

دانشیار

• User Experience Design
• Computer Music
• Computational Linguistics
• +۵ مورد دیگر

Dr. Alexandra Uitdenbogerd is an Associate Professor in the School of Science at RMIT University, based at the City Campus in Australia. She actively supervises PhD and Masters research students and maintains a focus on interdisciplinary research. Her primary research interests include usability engineering for neurodivergent users (e.g., Autism/ADHD) , computational linguistics applied to language learning , and computer music innovation . She also explores recommender systems and cross-platform user experience design . Her teaching interests align closely with her research: Usability and Autism/ADHD, Readability Measurement (Linguistic Complexity), Computer Music (focusing on Music Information Retrieval and generative systems), and Recommender Systems. She has contributed to commissioned reports on topics like IELTS writing competencies for Computer Science PhDs and vocabulary acquisition via extensive reading. Dr. Uitdenbogerd’s research trends reflect a growing emphasis on AI-driven creativity (e.g., Eurovision-Themed AI Song Contest collaborations), neurodiversity-friendly design (studying autistic/non-autistic user interactions with animated interfaces), and computational linguistics (assessing readability for non-native speakers). Her work bridges music technology (e.g., data choralification) with HCI and educational systems . Her lab/team affiliations include the RMIT MIRT Research Group, evident in her contributions to music-related studies. She has no explicitly listed scientific awards but demonstrates sustained academic engagement through peer-reviewed publications and collaborative projects.

• Electronics, sensors and digital hardware
• Nanotechnology
• Electrical engineering
• +۷ مورد دیگر

Dr. Nam Ha is an Associate Professor in the School of Engineering at RMIT University. His research focuses on Electronics, sensors, nanotechnology, electrical engineering, environmental management, distributed computing, and materials engineering. He has contributed to numerous high-impact publications in optimization, logistics, and algorithm design. His work spans theoretical advancements and practical applications, including stochastic optimization and supply chain management. Dr. Ha's research also involves collaborations in computational physics and music technology, showcasing interdisciplinary interests. His email is nam.ha@rmit.edu.au, and he holds an ORCID: 0000-0001-9571-5348. Recent articles highlight contributions to optimization in chemical tanker logistics, ant colony algorithms for convoy problems, and stochastic methods in event generator tuning. His work often bridges theoretical models and real-world applications, emphasizing efficient algorithms and robust solutions.

Floris van Vugtمشاهده پروفایل

دانشیار

• Sensorimotor Integration
• Music Cognition
• Social Neuroscience
• +۲ مورد دیگر

Floris van Vugt is an Associate Professor in the Department of Psychology at Université de Montréal's Faculty of Arts and Sciences. He directs research on sensorimotor integration and social connection through the Human Connection Science Lab. His interdisciplinary research examines how humans learn sensorimotor mappings (as in music performance), the role of curiosity in learning, and how interpersonal synchrony fosters social connection. He investigates these mechanisms through behavioral experiments, neuroimaging, and real-world dialogue interventions. Professor van Vugt's work demonstrates strong methodological innovation, developing open-source tools like TeensyTap for sensorimotor experiments. His recent publications explore musical training's cognitive effects, interpersonal synchronization dynamics, and technology for social neuroscience research. He actively investigates how dialogue formats like Bohm Dialogue can bridge social divides. His lab studies physiological synchrony during social interactions and develops accessible research technologies for multi-person biosignal recording.

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.

• Creative Technologies
• Multimedia Design
• 3D Modelling and Animation
• +۴ مورد دیگر

Saul Cross is a Lecturer (Teaching and Scholarship) in the Department of Computer Science at the University of York. He serves as the Postgraduate Programme Leader (Online) for Data and AI and leads the Data and AI Team. His roles include supporting online MSc programmes, assessment, content development, and library resource management. Qualifications: MSc in Creative Technologies (Leeds Metropolitan University) and HND in Audio-Visual Design and Communication (University of Huddersfield). Research and Teaching Interests: Focuses on creative applications of computer systems in visual design, audio-visual production, 3D modelling, animation, music production, and digital sound synthesis. Explores AI applications, data modelling, and societal impacts of computing technologies. Personal interests include retro computing, game design, and media culture. Career: Over 19 years in education, previously working as a multimedia designer, developer, and project manager in higher education. Responsible for hardware/software systems specification and maintenance in prior roles. University Roles: Additional STAMP Committee member, contributing to academic governance and program development.

Nicklas Andersenمشاهده پروفایل

مدرس پاره‌وقت

• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• Clinical Informatics
• +۳ مورد دیگر

Nicklas Andersen is a Part-time Lecturer in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His work bridges computer science with healthcare, education, and interdisciplinary technology applications. He specializes in Virtual Reality (VR) systems for therapeutic and educational contexts, including autism therapy, choral singing, and clinical nutrition studies. Research interests focus on human-computer interaction, clinical informatics, and software engineering tools like the CAAL concurrency workbench. His recent work (2021) emphasizes VR's potential in sensory-based therapies and collaborative artistic experiences. Earlier contributions (2015) include formal methods in concurrency analysis. No scientific awards or grants are listed in the provided text. He has no recorded advisees or students listed. His research spans labs within the Department of Computer Science, though specific lab affiliations are not explicitly stated.

Edward Largeمشاهده پروفایل

استاد

• Auditory Neuroscience
• Music Psychology
• Dynamical systems
• +۲ مورد دیگر

Edward Large is a Professor in the Department of Psychological Sciences at the University of Connecticut. His research focuses on the interdisciplinary study of auditory neuroscience, music psychology, and dynamical systems, with additional interests in ecological psychology and perception-action-cognition. He is recognized for his leadership as President of the Society for Music Perception and Cognition. Professor Large's research program integrates computational modeling with experimental approaches to understand neural mechanisms of rhythm perception, music cognition, and auditory processing. Key areas include neural oscillations, sensorimotor synchronization, and neurodynamic modeling of musical phenomena. His work bridges theoretical neuroscience with practical applications in neurotechnology and clinical interventions. Analysis of recent publications (2022-2025) reveals three dominant research streams: (1) Development of computational tools for neural data analysis (e.g., GrFNN Toolbox) and music visualization systems, (2) Clinical applications of music-based interventions for neurological conditions, and (3) Fundamental research on neural entrainment mechanisms during rhythm processing. These publications demonstrate consistent innovation in methodology and theory across auditory neuroscience and music cognition domains. Honors and Awards: President, Society for Music Perception and Cognition

• Educational Science
• Higher Education Pedagogy
• Academic Development
• +۴ مورد دیگر

Marvi Remmik is an Associate Professor of Educational Science at the University of Tartu, holding concurrent positions in the Faculty of Social Sciences (Institute of Education) and Viljandi Culture Academy. Her career spans over two decades in academic leadership roles, including Programme Director, Head of Education Development Centers, and Project Manager-Analyst in political studies. She earned a Doctor of Philosophy (2013) and Master's in Organic Chemistry (1997) from the University of Tartu, with prior music education training. Her research focuses on higher education pedagogy, teacher professional development, and academic ethics. Notable projects include analyzing Wikipedia's role in education, evaluating university third mission impacts, and addressing gender equality in science. She has led 26+ research projects and published 53+ peer-reviewed works across pedagogy, didactics, and educational policy. Remmik chairs programs like the Arts and Technology Teacher Master's and serves as associate dean for educational affairs. She actively contributes to international education organizations like EARLI and ICED. Recent work examines teacher identity, distance learning adaptations, and doctoral education ethics. Her administrative roles include managing research ethics systems and evaluating prison reintegration programs.