جست‌وجوی استاد و پژوهشگر

Donna Szokeمشاهده پروفایل

دانشیار

• Video Art
• Experimental Animation
• Media Art
• +۶ مورد دیگر

Donna Szoke is an Associate Professor in the Department of Visual Arts at Brock University, specializing in interdisciplinary art practices. Her work spans video, installation, animation, and research-creation, addressing themes like haptic perception, non-visual knowledge, and critical theory. She has exhibited globally, including in Canada, the US, Europe, and Asia, with notable installations such as The Breathing Tree and Forgotten Portrait . She holds an MFA and BFA from Simon Fraser University and a BA from the University of Winnipeg. Her research has been supported by grants from the Canada Council for the Arts, Ontario Arts Council, and SSHRC. In 2017, she received the Brock Faculty of Humanities Award for Excellence in Research and Creative Activity. She actively contributes to academic initiatives like the Global Justice and Humanities Practices Initiative and the Research Centre in Interdisciplinary Arts and Creative Culture. Her teaching includes courses in digital video and experimental media, integrating pedagogical innovation through grants like the Experiential Education Fund. Her recent projects explore concepts like 'not knowing as making' and spatial audio in installations. She collaborates with institutions like Concordia University’s Feminist Media Art Studio and has presented keynotes at venues such as Brock Talks and ISEA conferences.

• Music Technology
• User Experience (UX) Design
• Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Dr. Chris Nash is a Senior Lecturer in Music Technology at the University of the West of England (UWE Bristol), specializing in software development for audio, sound, and music. He leads the computing pathway for BSc(Hons) Music Technology courses and holds a PhD from the University of Cambridge (2011) focusing on systems for music production and creativity. His work bridges academic research and industry practice, emphasizing end-user technologies and real-world applications. Education: BEng (York), MPhil (Trinity College Dublin), PhD (Cambridge). Research interests include music composition, user experience design, HCI, algorithmic music systems, and digital creativity. He collaborates with institutions like Point Blank Music School, Huddersfield University, and industry partners such as Steinberg/Yamaha, BBC, and startups like JukeDeck. His projects include the award-winning reViSiT DAW plugin and Manhattan, a hybrid DAW/music programming language. Notable collaborations and projects include BBC Music Day 2018, where live crowd movements influenced generative music. His technical expertise spans C++, DSP, VR/spatial audio, and MIR (Music Information Retrieval). Labs/Teams: nash.audio (his personal projects) and contributions to the TENOR Network. He actively publishes on generative music, interactive systems, and music education technologies.

• Internet of Things (IoT)
• Edge Computing
• Deep Learning
• +۱۲ مورد دیگر

Jesus Lopez Ballester is a faculty member at the Universitat de València, affiliated with the School of Engineering and the Department of Electronic Engineering. He is an active researcher in the fields of IoT, edge computing, and acoustic signal processing, contributing to both academic and applied research in smart environments and sustainable monitoring systems. His research interests lie at the intersection of artificial intelligence and physical sensing systems, with a strong emphasis on real-time, low-cost, and energy-efficient solutions. Key areas include sound event detection for driving safety, psychoacoustic annoyance modeling, urban soundscape monitoring, HRTF analysis, and room acoustic parameter estimation. His work integrates deep learning with embedded systems, particularly leveraging edge computing and IoT platforms to enable intelligent, distributed acoustic sensing in urban and industrial contexts. The recent publications reveal a consistent trend toward deploying AI models on resource-constrained devices for environmental and safety applications. His work frequently combines sensor networks with neural networks to achieve real-time, on-device inference, supporting applications in smart cities, transportation safety, and industrial monitoring. There is a strong focus on sustainability, cost-effectiveness, and practical deployment over theoretical exploration. He is actively involved in two research groups: the DSDC Communications and Digital Systems Design Group and the LSyM Simulation and Modeling Laboratory, where he contributes to projects involving wireless sensor networks, acoustic modeling, and IoT system design. While no formal students are listed, his role in supervising thesis work and leading technical developments indicates mentoring and advisory responsibilities. His research is supported by institutional affiliations and collaborative projects, though specific grants are not detailed in the provided text.

• Immersive Media Experiences
• Digital Storytelling
• Quality of Experience (QoE)
• +۳ مورد دیگر

Andrew Niels Perkis is a Professor at the Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on the intersection of art and technology, with emphasis on immersive media experiences, quality of experience (QoE) modeling, transmedia storytelling, and sensor-based digital narratives. He co-founded the Sense-IT laboratory and leads the ARTEC task force for art-technology research directions. Current research areas: IoT-driven digital storytelling, immersion and presence, media value chain quality assessment Applications: Creative industry business models, public space art installations, VR hazard awareness tools Recent publications address VR usability for geohazard visualization, motor task performance in immersive environments, and stakeholder engagement frameworks. His work integrates technical innovation with human-centric design principles. Awards: Winner, SXSW 2018 Place by Design competition NM Art and Design Prize (2016)

• Interactive Audio
• Game Audio
• Electroacoustics
• +۱۲ مورد دیگر

Christos Michalakos is a Senior Lecturer in Game Audio at the School of Design and Informatics, University of Abertay, where he teaches and researches in interactive audio, game sound, and digital performance. His work bridges music, technology, and games, with a focus on real-time systems and improvisation. BSc in Mathematics, University of Crete (2006) MSc in Acoustics and Music Technology, University of Edinburgh (2008) PhD in Creative Music Practice, University of Edinburgh (2013) His research centers on expressive music technologies, live electronics, and XR audio, exploring how sound interacts with games and performance. He develops custom systems for interactive music and has performed internationally with artists like Evan Parker and Stelarc. His work often involves hybrid instruments, such as his sensor-augmented drum-kit, and investigates affordances in digital sound environments. The recent publications show a strong trend in using game engines and virtual reality for musical composition and improvisation, blending software development with artistic practice. Topics include procedural audio, real-time interaction, and immersive sound design, reflecting a deep integration of computer science and digital arts. Notable scientific awards include: Royal Society of Edinburgh Enterprise Fellowship (2018) Carnegie Trust Research Incentive Grant (2017) EPSRC Scholarship (2007) Multiple PRE Grants and performance bursaries Christos supervises honours projects and has led knowledge exchange initiatives like school workshops and festival presentations. He is affiliated with research groups such as Sound Lab Edinburgh and co-directed Inventor Composer Coaction. His research is supported by grants from the Royal Society of Edinburgh and the Carnegie Trust, indicating active funding and scholarly impact. He is involved in collaborative performance projects, software development for artistic purposes, and outreach through festivals and workshops, demonstrating a strong commitment to both academic and public engagement in digital music and game audio.

• Screen and digital media
• Cultural studies
• Creative and professional writing
• +۷ مورد دیگر

Mark Freeman is a Lecturer in the Department of Film and Animation at Swinburne University of Technology, within the School of Social Sciences, Media, Film and Education. He holds a PhD from LaTrobe University (2013), an MA from LaTrobe, and a Bachelor of Education from the University of Melbourne. He teaches and convenes film theory courses and is actively engaged in research, editorial work, and academic leadership. PhD: LaTrobe University, 2013 – 'The Cinema Network: Transforming National Cinema in the Postnational Age' MA: LaTrobe University – Thesis on Australian appropriation of the American slacker genre Bachelor of Education: University of Melbourne His research centers on screen and digital media, cultural studies, and creative writing, with a focus on national and postnational cinema, digital horror, Australian film, and film aesthetics. He explores how global technologies reshape cinematic identity, exhibition, and narrative. His work frequently appears in film journals such as Senses of Cinema , Metro , and Screening the Past . His recent publications span topics from academic leadership and wellbeing to comedy in Elaine May, digital horror, and representations of gender in Australian cinema. These works reflect a broad engagement with both theoretical and cultural dimensions of film, often bridging historical analysis with contemporary digital shifts. His scientific and professional contributions include: Editor, Senses of Cinema journal (since 2016) Board Member, Senses of Cinema (since 2016) Member, Australian Academy of Cinema and Television Arts (AACTA) (since 2018) Producer and host, Senses of Cinema Podcast He has secured internal research grants, including a 2024 Swinburne grant on screen cultures, AI, and distribution networks. He supervises PhD and Master’s students in areas such as mythological adaptation, women in music video direction, and filmmaker ethics. He leads initiatives in practice-based research and academic leadership, emphasizing wellbeing and self-care in higher education. Freeman is also involved in creative output, notably the Senses of Cinema Podcast , which extends scholarly engagement beyond academia. His work demonstrates a sustained commitment to film scholarship, public intellectualism, and pedagogical innovation.

Hongyu Youمشاهده پروفایل

پژوهشگر ارشد

• Acoustic Signal Processing
• Non-Destructive Testing (NDT)
• Human-Computer Interaction
• +۳ مورد دیگر

Hongyu You is a Research Fellow and KTP Associate in the Department of Electronic and Electrical Engineering at the University of Strathclyde's Faculty of Engineering, leading the "Next Generation Inspection PIG" project with Cokebusters Limited since May 2024. Previously, they completed doctoral research at Coventry University. Education: Doctor of Philosophy in Acoustic Source Localization, Coventry University (2017-2023) Their research centers on acoustic signal processing for non-destructive testing (NDT), manufacturing applications, and natural human-computer interaction, with core expertise in sonic detection systems for industrial inspection and augmented reality interfaces. They pioneer physics-informed machine learning techniques to enhance ultrasonic pipeline inspection and develop template-based acoustic positioning models for 3D object interaction. Recent publications reveal a strategic shift toward AI-integrated NDT solutions, particularly applying physics-informed neural networks to small-diameter pipeline diagnostics while advancing real-time acoustic source tracking in elastic solids and augmented spaces. As Principal Investigator for the KTP project "the Next Generation Inspection PIG", they direct knowledge transfer between academia and industry to develop next-generation pipeline inspection technologies, securing research funding through this partnership.

Markus Holzbachمشاهده پروفایل

استاد

• Material Design
• Visualization and Materialization
• Parametric Design
• +۷ مورد دیگر

Markus Holzbach is a Professor of Visualization and Materialization at the Offenbach University of Art and Design (HfG Offenbach), where he has been a faculty member since 2009. He leads the Institute for Materials Design (IMD) and has held significant leadership roles, including Dean and Vice Dean of the Design Department. His academic affiliations extend internationally through visiting professorships at Politecnico di Milano, MIT, RWTH Aachen, and the Berlage Institute. His research centers on material innovation , parametric design , and bio-materialization , exploring the dialogue between materials and their environments. Holzbach’s work emphasizes interdisciplinary experimentation, digital fabrication, and sustainable design practices. Projects like the Angel’s Trumpet and ECHOLOT Pavilion exemplify his integration of nature-inspired forms with interactive technologies. The 15 most recent projects reflect a consistent focus on computational design , material transfer , and sustainable architecture . Themes include responsive environments, modular systems, and the reinterpretation of natural forms through digital tools. His work spans product design, pavilions, housing, and industrial structures, often involving CNC fabrication and algorithmic modeling. Notable scientific awards include the Red Dot Design Award , BEST of SHOW ’16 at ISE 2016 , and the Music Super NAMM Award 2016 for the CURV 500® speaker. He has served on design juries such as the materialPREIS 2018 and Werk.Klasse. Markus Holzbach advises students and leads research teams at the IMD, fostering innovation in material design. His projects often receive institutional or corporate sponsorship, such as Palmengarten Frankfurt and Sonosfera. He has not received mention of formal grants, but his work is supported through collaborative and applied research funding. He directs the Institute for Materials Design (IMD) , a hub for experimental material research, student projects, and public exhibitions. The IMD has showcased work at events like the Triennale di Milano and Passagen Köln, emphasizing hands-on, interdisciplinary exploration of materiality.

Karl-Heinz Frommoltمشاهده پروفایل

پژوهشگر

• Bioacoustics
• Acoustic Ecology
• Vocal Communication in Vertebrates
• +۳ مورد دیگر

Karl-Heinz Frommolt is a Researcher at the Museum of Natural History, Leibniz Institute for Evolution and Biodiversity Research, where he serves as the Scientific Director of the Animal Sounds Archive and Head of the Bioacoustics Laboratory . His work focuses on bioacoustic monitoring of vertebrates, particularly breeding bird communities, using automated acoustic detection and pattern recognition technologies. Key Projects: Automated Multisensor Station for Monitoring Species Diversity (AMMOD) Development of Intelligent Acoustic Sensor Technology (DeViSe) Integrative Analysis of Pesticides and Land Use Effects on Biodiversity (INPEDIV) His research integrates bioacoustics with environmental monitoring, including work on bat call reference libraries and acoustic communication in vertebrates. Recent publications highlight applications of multisensor stations, microphone array signal processing, and long-term acoustic studies in wetlands and Mediterranean ecosystems. His team develops tools for automated detection, localization, and tracking of vocal animal species, contributing to biodiversity conservation and ecological data management. Dr. Frommolt's work spans taxonomy, ecological informatics, and conservation technology, with field applications in Germany, Greece, and international collaborations.

• Human-Computer Interaction
• Smart Buildings
• Urban Informatics
• +۷ مورد دیگر

Hamed Seiied Alavi is a tenured Assistant Professor at the Informatics Institute within the Faculty of Science at the University of Amsterdam. He is a founding member of the Digital Interaction Lab and holds a PhD in Computer Science from EPFL, with postdoctoral experience at University College London (UCL). His work bridges human-computer interaction, architecture, and urban design to explore intelligent, inclusive built environments. Research Interests: His research focuses on Human-Building Interaction (HBI) , smart and adaptive environments , inclusive urban design , and multisensory interaction . He investigates how digital technologies can co-create spaces that reflect human values and identities, particularly through biophilic and data-informed design. His work emphasizes ethical considerations, user experience, and sustainability in intelligent spaces. The recent publications reveal a strong trend in designing human-centered smart buildings, environmental sensing (e.g., air quality, audio), and the ethical implications of data-driven design. His research integrates physiological data (e.g., EEG), wearable technologies, and participatory methods to evaluate comfort, inclusivity, and user experience in built environments. A recurring theme is the critique of technological determinism in urban and architectural innovation. Best Paper Award at CHI'25 PI of €3.8M NWO Grant – Inclusive City-Making Dr. Alavi leads research projects involving interdisciplinary teams and has secured major funding. He has also led a startup in educational technologies for eight years, demonstrating translational impact. His advising likely includes students in HCI, interaction design, and digital architecture, though no formal list is provided. He is a key member of the Digital Interaction Lab at the University of Amsterdam, a research group focused on reimagining human-digital-material interactions in everyday contexts, particularly in urban and architectural settings.

• Computer Vision
• Machine Learning
• Healthcare AI
• +۷ مورد دیگر

Jianbo Jiao is an Associate Professor in Computer Vision and Machine Learning at the School of Computer Science, University of Birmingham, where he leads the MIx (Machine Intelligence + x) research group. Previously, he was a Postdoctoral Researcher in the Biomedical Image Analysis (BioMedIA) group and Visual Geometry Group (VGG) at the University of Oxford, working on the SeeBiByte and VisualAI projects. MSc from Peking University (2015) PhD in Computer Science from City University of Hong Kong (2018), supported by Hong Kong PhD Fellowship Scheme Visiting scholar at Beckman Institute, University of Illinois at Urbana-Champaign (2017-2018) Dr. Jiao's research focuses on Computer Vision, Machine Learning, Healthcare AI, and AI for Science. His work primarily investigates learning representations in open-world scenarios by exploring auxiliary information from multiple modalities (image/video, speech/audio, text/NLP, depth/stereo, gaze/saliency, motion) and reducing dependency on supervision through self-supervised, weakly-supervised, and semi-supervised learning approaches. His group has made significant contributions to multimodal learning, medical image analysis, and 3D vision. His recent publications demonstrate strong trends in multimodal learning, medical AI applications, and 3D computer vision. The research spans fundamental computer vision tasks like segmentation and scene understanding while addressing practical challenges in healthcare and scientific domains. Notably, there's significant focus on making vision systems more robust to distribution shifts and requiring less labeled data. Amazon Research Award recipient (2024) Royal Society Short Industry Fellow Best Paper Award at MICAD 2024 Best Paper Award at MICCAI 2024 ASMUS Workshop Best Presentation (Runner-Up) Award at MICCAI 2024 ASMUS Workshop Best Paper Award at ECCV 2022 Medical Computer Vision Workshop Multiple Outstanding Reviewer Awards from top conferences Dr. Jiao serves as Associate Editor for The Transactions on Machine Learning Research (TMLR) and IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), and has been actively contributing to the community as Area Chair for NeurIPS, ICML, ICLR, and ACM MM. His MIx group has secured multiple research grants including the Amazon Research Award for the PCo3D project on Physically Plausible Controllable 3D Generative Models. Current PhD students include Isaac Akintaro, Hao Ai, and Kangning Zhang. The MIx group maintains active collaborations with industry partners including Amazon and Meta, and has developed notable datasets such as 360+x for panoptic multi-modal scene understanding and DyMVHumans for dynamic human modeling. Their research bridges fundamental computer vision with practical applications in healthcare, physics, chemistry, and other scientific domains.

• Computer Vision
• Computer Audition
• Machine Learning
• +۷ مورد دیگر

Dr. Yapeng Tian is an Assistant Professor in the Computer Science Department within the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas. He leads the Computer Vision and Multimodal Computing (CVMC) Lab, where his research focuses on solving core problems in computer vision, computer audition, and machine learning with applications to multisensory perception, computational photography, AR/VR, accessibility, and healthcare. Dr. Tian received his PhD in Computer Science from the University of Rochester in 2022, Master's in Electronic Engineering from Tsinghua University in 2017, and Bachelor's in Electronic Engineering from Xidian University in 2013. Prior to joining UT Dallas, he completed research internships at Facebook and Adobe Research, and served as a Research Assistant at both University of Rochester and Tsinghua University. His research interests span audio-visual scene understanding, audio-visual scene generation, AI for accessibility and healthcare, and image/video processing. He has made significant contributions to multimodal learning, particularly in audio-visual integration, where his work has been recognized with numerous awards including the Amazon Research Award, Cisco Faculty Research Award, and AAAI New Faculty Highlights. Analysis of his recent publications reveals a strong focus on diffusion models for multimodal generation, audio-visual learning, accessibility applications, and efficient multimodal processing. His work increasingly integrates healthcare applications, particularly in autism assessment and assistive technologies for people with disabilities. Key awards and recognitions: Amazon Research Award [2024] UIST Belonging & Inclusion Best Paper Award [2024] ACCV Best Paper Honorable Mention Award [2024] IEEE ISMAR IDEATExR workshop Best Paper Award [2024] Cisco Faculty Research Award [2023] AAAI New Faculty Highlights [2023] Dr. Tian actively mentors students at multiple levels, including PhD candidates, undergraduate researchers, and even K-12 students through outreach programs. His lab has secured significant grant funding including an NIH R01 grant and an Amazon Research Award. Current research directions include developing AI/AR-assisted vision for people with low vision and creating tools for kitchen accessibility through wearable AR.

• Speech Processing
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Professor Xiang Zhang serves as President and Vice-Chancellor of The University of Hong Kong , combining academic leadership with active research in speech processing and machine learning. His work bridges theoretical and applied advancements in speech enhancement, depression detection, and multilingual speech recognition. Speech Enhancement : Comparative studies on long-context networks and selective state space models Acoustic Representation : Feature codecs, landmark extraction, and frame-rate analysis Mental Health Applications : Depression detection using large language models and speech timing Code-Switching Recognition : Interactive language biasing and alignment techniques Interdisciplinary Research : Unidirectional brain-computer interfaces and quantum language models Recent publications highlight trends in transformer alternatives like Mamba architectures, self-supervised learning for speech tasks, and efficient diffusion-based audio processing. His work spans technical reporting, open-source dataset development, and pedagogical innovations in computational linguistics.

Ian van der Lindeمشاهده پروفایل

دانشیار

• Vision Science
• Image Processing
• Cognitive Psychology
• +۴ مورد دیگر

Dr. Ian van der Linde is a Reader (equivalent to Associate Professor) at Anglia Ruskin University, affiliated with the Faculty of Science and Engineering and the School of Computing and Information Science. He conducts cross-faculty research at the intersection of computer science, vision science, image processing, algorithms, and cognitive psychology, with a particular focus on the human visual system. His research expertise includes: Vision Science and Eye Research Image Processing and Computer Vision Cognitive and Behavioural Psychology Computational Methods in Neuropsychological Testing Dr. van der Linde's research primarily investigates gaze control, visual short-term memory, face perception, visual task planning, image quality assessment, multimodal binding, the impact of ageing on visual performance, and the computations performed in the early visual system. His work combines computer modeling with experimental psychology to understand human vision, with applications in healthcare, computer vision systems, and cognitive assessment tools. His recent publications demonstrate a consistent focus on visual short-term memory, particularly examining how humans bind visual features together, how this process changes with age, and how it relates to cognitive decline. His work also extends to facial recognition, image quality assessment, and the application of computational methods to neuropsychological testing. Scientific recognition includes: Fellow of the British Computer Society (FBCS) Fellow of the Higher Education Academy (FHEA) Chartered Engineer of the Engineering Council UK (CEng) The Wellcome Trust, 'I'm a Scientist, Get Me Out of Here', Winner, Nickel Zone, £500 Dr. van der Linde has supervised numerous PhD students across Computing, Psychology, and Vision Sciences, with research spanning audio signal processing, online security behaviors, cardiovascular bioinformatics, cloud computing adoption, and visual working memory. He has secured research funding from various sources including the Wellcome Trust, Home Office Scientific Development Branch, and Knowledge Transfer Partnerships. He is a member of the Computing, Informatics and Applications Research Group and teaches courses in Image Processing, Data Structures & Algorithms, and Core Mathematics for Computing.

Ryan M Coreyمشاهده پروفایل

استادیار

• Audio and Acoustic Signal Processing
• Sensor Array and Multichannel Signal Processing
• Adaptive Signal Processing
• +۴ مورد دیگر

Ryan M. Corey is an Assistant Professor of Electrical and Computer Engineering at the University of Illinois Chicago and a Research Scientist at the Discovery Partners Institute (DPI), a Chicago-based innovation hub focused on equitable economic development. His work bridges academic research with industry and community engagement, particularly emphasizing technologies for marginalized groups. Ph.D., Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2019) M.S., Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2014) B.S., Electrical Engineering (Highest Honors), Princeton University (2012) Professor Corey’s research focuses on audio and acoustic signal processing to enhance hearing technologies in noisy environments. Key areas include spatial signal processing, microphone arrays, distributed sensor networks, and wireless audio systems. As the first dual-appointed faculty member at DPI, he develops cooperative architectures for multi-device audio sensing and immersive sound remixing applications for augmented reality and assistive systems. His current projects involve creating intelligent audio networks that leverage wearable and mobile devices for improved acoustic inference, and an automated acoustic research system at DPI for generating dynamic datasets. His work emphasizes practical applications in hearing assistive technology, pandemic-related communication barriers, and emergency medical devices. 2022 Future of Science Award (Oak Ridge Institute for Science and Education) 2020 Best Student Paper Award (Acoustical Society of America Meeting) 2019 Best Student Paper Award & IC Postdoctoral Fellowship 2014 NSF Graduate Research Fellowship As a hearing aid user himself, Corey prioritizes real-world usability in assistive technologies while maintaining rigorous academic research standards through collaborations with the Audio Engineering Society, IEEE Signal Processing Society, and Acoustical Society of America.