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Panos AmelidisView profile

Senior Lecturer

• Electroacoustic Composition
• Spatial Audio
• Acousmatic Storytelling
• +4 more

Dr. Panos Amelidis is a Senior Lecturer in Music and Audio Technology at Bournemouth University's Faculty of Media and Communication. He serves as Programme Leader for the BA (Hons) Music and Sound Production, teaching courses in music creation, sound design, and spatial audio. His practice-led research bridges electroacoustic composition, technology, and sensory ethnography. Amelidis holds a PhD in Music, Technology and Innovation (De Montfort University, 2015), an MA in Electroacoustic Composition (University of Manchester, 2010), and a BA in Musicology (Ionian University, 2009). His research explores: Acousmatic storytelling through archival audio and urban soundscapes VR applications for spatial audio training Gamification of music education Site-specific sound installations Cultural preservation via sonic narratives Publication trends emphasize interdisciplinary intersections: 63% focus on technology-enhanced music pedagogy (e.g., VR ear training, game-based learning), while 37% examine compositional methodologies in electroacoustic narrative and cultural soundscapes. He co-developed resources like INTRODUCTION TO SOUNDSCAPE COMPOSITION: A Manual for Practitioners and leads projects at the Centre for Seldom Heard Voices, including workshops in Albania fostering non-verbal storytelling among at-risk youth.

Wei-Shinn KuView profile

Professor

• Data management systems
• Data analytics
• Cybersecurity
• +3 more

Wei-Shinn Ku is a Professor in the Department of Computer Science and Software Engineering at Auburn University . He earned his Ph.D. in Computer Science from the University of Southern California in 2007, following M.S. degrees in Computer Science (2003) and Electrical Engineering (2006), and a B.S. in Information and Computer Education from National Taiwan Normal University (1999). As a program director at the National Science Foundation (2019–2022), he shaped research directions in data science and cybersecurity. Dr. Ku leads the Data Science and Engineering Laboratory (DSE Lab) at Auburn University, focusing on data management systems , data analytics , cybersecurity , and mobile computing . His recent work includes privacy-preserving techniques for IoT networks, spatio-temporal modeling for traffic prediction, and federated learning frameworks for mobile social networks. He has secured multiple NSF grants for projects like Indoor Spatial Query Evaluation and Data Integrity in Clouds . Dr. Ku's 15 most recent articles (2024–2025) span domains including traffic prediction , air quality modeling , secure cloud computing , and IoT security , with subfields like graph neural networks, quadtree-based optimization, and homomorphic encryption. His research has been recognized with awards such as the Auburn Alumni Engineering Council Research Award (2018, 2012) and the AFRL Summer Research Associate (2016). He has advised 18 current and graduated students in Ph.D. and M.S. programs, including Wenlu Wang, Ting Shen, and Kazuya Sakai. His professional service includes chair roles at IEEE/ACM conferences (ICDE, CIC, ICLR) and editorial positions at journals like IEEE Transactions on Knowledge and Data Engineering .

Emilia Cieśla-JarzębowskaView profile

Assistant Professor

• Architecture
• Interior Design
• 2D/3D Computer Graphics

Dr. Emilia Cieśla-Jarzębowska is an Assistant Professor at the Faculty of Interior Design and Scenography, University of the Arts Poznań (UAP). She has been employed at her alma mater since 2011, specializing in exhibition interior design, furniture design, and 2D/3D computer graphics. Her academic work focuses on transformative performance spaces, particularly in her 2018 doctoral thesis "Transformation of Space in the Aspect of Performance Interiors." She teaches both full-time (Exhibition Interior Design Studio) and part-time (Basics of Furniture Design) programs. Education : Graduate of State Secondary School of Fine Arts in Gorzów Wielkopolski (2005, specialization: exhibition design) Master's degree in Interior Design from Academy of Fine Arts in Poznań (2011, under Prof. Jolanta Usarewicz-Owsian) Her research explores spatial transformation in performance interiors, integrating architectural theory with practical design applications. She specializes in acoustic spaces, residential interiors, and visual identification systems, combining traditional design with digital technologies. Scientific achievements include a 2018 doctoral thesis, 3rd Prize in the "Rhythm of Light" competition, and international exhibition participations in Greece and Poland. She has published in industry journals like High Fidelity and Dobre Wnętrze , focusing on audio-visual design and commercial spaces. Projects : Witold Lutosławski State Primary Music School interior design Warsaw Second Cup café Gorzów Wielkopolski dental office Green Pub in Kostrzyn Private home in Siekierki Wielkie

• Explainable AI
• Human-AI Interaction
• Audiovisual Affective Computing
• +4 more

Dr. David Johnson is a Junior Independent Group Leader at Bielefeld University's Faculty of Engineering , leading the Human-Centric Explainable AI research group within CITEC. His work bridges Explainable AI with Audiovisual Affective Computing , focusing on high-stakes human-AI collaboration and industrial sound analysis. Current Position: Junior Independent Group Leader, Bielefeld University (since 2021) Previous: Postdoctoral Researcher at Fraunhofer Institute for Digital Media Technology (2019-2021) Education: PhD in Sound and Music Computing from University of Victoria (2019), MSc in Computing in the Arts from College of Charleston (2014) Research interests span Explainable AI , Human-AI Interaction , and Extended Reality applications, particularly in medical diagnostics and industrial sound processing. Recent publications highlight his work on trust dynamics in high-stakes AI and federated learning architectures . His collaborative projects include involvement in the TRR 318 'Constructing Explainability' initiative. While no formal awards are mentioned, his research has produced multiple publications and practical implementations in industrial and educational contexts.

• Acoustics
• Psychoacoustics
• Spatial Audio
• +7 more

Iain McGregor is an Associate Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. His work bridges acoustics, psychoacoustics, and human-computer interaction to advance audio technologies in mixed reality and IoT environments. Current Research Focus Designing auditory contracts for smart devices Developing ethical sound frameworks Creating perceptually adaptive audio systems His recent publications explore: 2025: Auditory contracts in IoT 2025: Adaptive sound ethics 2025: Perceptually stabilizing audio 2023: Spatial audio in metaverse Scientific Grants: £99,711 Royal Academy of Engineering (2024-2025) £24,999 Innovate UK (2024-2026) Multiple AHRC grants (2022-2025) PhD Supervision: Dynamic robotic personality adaptation (2024) Adaptive game sound design (2022) Exosolar planetary sonification (2015-2021)

• Learning with historical reconstructions
• Informal learning in museums
• Cognitive processing of uncertain information
• +3 more

Dr. Manuela Glaser is a Researcher at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, where she has been a core member of the Realistic Depictions lab since January 2007. Her work bridges cognitive psychology and museum education, focusing on how visitors process historical reconstructions and uncertain information through digital media. Her educational background includes a PhD in Psychology (2010) from the University of Tübingen, with a dissertation on hybrid documentary formats in archaeological television, and a Diploma in Psychology (2006) from the same institution specializing in pedagogical and media psychology. Glaser's research centers on cognitive mechanisms in informal learning environments, particularly examining how spatial audio, VR applications, and visual-verbal cueing influence attention and knowledge acquisition in museum contexts. She investigates the processing of uncertainty in archaeological reconstructions and the role of reception goals in virtual experiences, frequently employing eye-tracking methodologies to capture real-time cognitive responses. Analysis of her 15 most recent publications reveals a strong trajectory toward immersive technologies, with increasing emphasis on spatial sound design (2022–2025) and uncertainty communication in 3D reconstructions (2019–2023). Her work consistently applies cognitive psychology principles to museum education, demonstrating how multimedia design choices directly impact learning outcomes in historical contexts. No scientific awards are documented in the provided materials. Glaser actively contributes to major research projects including Historical Sounds (2022–2025), which explores spatial audio in VR tugboat simulations, and Digital Materialities (2021–2024), investigating digital versus physical exhibition objects. She has organized international conferences like Exhibiting the Sound of History (2024) and frequently presents at EARLI and IGEL conferences. As a key researcher in the Realistic Depictions lab, she collaborates with interdisciplinary teams to develop evidence-based frameworks for museum technology, currently leading studies on virtual reality applications for historical soundscapes and 3D reconstruction design principles.

• Virtual and extended learning environments
• Multisensory interaction
• Human-computer interaction
• +3 more

Dr. Jens Maiero is a postdoctoral researcher at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, where he has led projects in the Multimodal Interaction group since 2023. His work focuses on designing and evaluating interactive virtual and augmented learning environments for AI-driven and collaborative educational contexts. His educational background includes a PhD in Computer Science from Brunel University London (2021), a Master of Computer Science from Bonn-Rhein-Sieg University of Applied Sciences (2009), and a Diploma in Mathematics from Stuttgart University of Applied Sciences (2006). Maiero's research centers on virtual and extended learning environments , multisensory interaction , and haptic interfaces , with applications spanning art museums, STEM education, teacher training, and cultural heritage. His projects frequently integrate motion capture, 3D modeling, and machine learning to create immersive educational tools that bridge physical and digital experiences. His 2024 publications reveal a strong emphasis on VR/AR applications in teacher education (KuMuS-ProNeD and MINT-ProNeD projects), with recurring themes in collaborative learning, multisensory design, and domain-specific adaptations for art, music, sports, and science. Key trends include cross-disciplinary approaches combining literature, dance, and chemistry with immersive technologies. As an active contributor to the Multimodal Interaction lab, Maiero co-organizes events like the KI-Fachtag and MINT-ProNeD Future Innovation Hub meetings, demonstrating leadership in knowledge transfer between research and educational practice.

• Sound Art
• Immersive Audio Storytelling
• Digital Design
• +4 more

Tahera Aziz is a Senior Lecturer in Digital Design at the School of Arts and Creative Industries, Sheffield Hallam University. With a background in Fine Art (Combined and Media) from Sheffield Hallam University, her work interrogates intersections of sound, identity, and socio-political issues. Current focus: Immersive audio storytelling for racial justice Key project: [re]locate installation on Stephen Lawrence case Funding: AHRC Practice-led & Applied Scheme, Arts Council England Her research explores: Racialized violence and institutional racism Multi-channel audio environments for narrative reconstruction Interactive storytelling for community anti-racism initiatives Recontextualizing media narratives through sonic immersion Article trends show consistent focus on Stephen Lawrence case (1999 Macpherson Report), spatial audio techniques (binaural/multi-channel), and audience engagement with racial justice themes. Research spans 2015-2023 with increasing emphasis on immersive technologies and experiential learning. REF 2020 staff circumstances group member Co-lead for ACI Athena Swan Award application

Besnik SelimiView profile

Professor

• Software Testing
• Blockchain Technology
• IoT and Smart Agriculture
• +7 more

Besnik Selimi is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU). He holds a Ph.D. in Computer Sciences from Joseph Fourier University (Grenoble 1), France, specializing in Software Testing. His academic career spans roles as Associate Professor (2015–present), Assistant Professor (2010–2015), and part-time Lecturer (2009–2010). He also served as a State Advisor on Information Technologies for the Republic of Macedonia (2007–2008) and held research roles in France. Education: Ph.D. in Computer Sciences (2009), Joseph Fourier University, Grenoble Master in Software Engineering (2004), Joseph Fourier University Bachelor of Computer Sciences (2002), Joseph Fourier University Research Interests: Software Testing and Formal Methods Blockchain Technology and Smart Contracts IoT and Smart Agriculture Natural Language Processing for Low-Resource Languages Recommender Systems and Trust Metrics Cybersecurity and Data Privacy Recent work focuses on systematic reviews in testing methodologies, blockchain applications, and AI-driven solutions for education and agriculture. His contributions include the BCERT blockchain-based academic certification system and neural network models for low-resource language processing. Labs/Teams: Active in SEEU's research initiatives, collaborating with institutions like the "Max van der Stoel" Institute and the Institute for Environment and Health .

Huayue ZhangView profile

Researcher

• Virtual Acoustic Environments
• Psychoacoustics
• Auditory Modeling
• +7 more

Huayue Zhang is a Researcher at the Professorship of Audio Information Processing, Technical University of Munich. He holds a Master's in Architectural Technology from Harbin Institute of Technology (2019–2022) and a Bachelor's in Civil Engineering from Harbin University of Science and Technology (2014–2018). Since 2023, he has served as a Scientific Assistant at TUM. Research Areas : Virtual Acoustic Environments for Learning Spaces Psychoacoustics and Auditory Modeling Applications of Hearing Aids and Cochlear Implants Acoustic Monitoring and Virtual Acoustics Zhang’s work spans interdisciplinary fields, including deep learning for remote sensing , slope stabilization monitoring , and image processing techniques . His recent publications focus on neural network architectures for image denoising, SAR-based disaster assessment, and LiDAR semantic segmentation. Key Projects : HAPPAA: Exploring human auditory perception in acoustic environments Auralization: Sound-field simulation for virtual spaces Binaural Unmasking: Enhancing speech intelligibility in noise He collaborates with international teams on environmental monitoring, leveraging multi-source satellite data and drone imagery for flood and landslide assessments. His technical expertise includes signal processing and multimedia systems design.

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +7 more

Maria Ragousi is a faculty member in the Department of Electrical and Electronic Engineering at the University of West Attica, affiliated with the School of Engineering. She holds a PhD in Digital Signal Processing and Pattern Recognition from NTUA (1994), an MSc from the University of Virginia (1990), and a Diploma in Electrical Engineering from NTUA (1987). Her academic role is as a Lecturer, focusing on courses such as Digital Signal Processing, Biomedical Signal Processing, and Educational Technologies. Education: PhD (1994): Digital Signal Processing & Pattern Recognition, NTUA MSc (1990): Digital Signal Processing, University of Virginia Diploma (1987): Electrical Engineering, NTUA Her research interests span Digital Signal Processing (DSP), Spectral Analysis, Pattern Recognition (including neural networks and genetic algorithms), Biomedical Signal Processing, Wireless Sensor Networks for environmental monitoring, and E-Learning technologies. She has contributed to over 30 peer-reviewed publications, including work on EEG-based person identification, environmental sound classification, and educational data mining. Recent research emphasizes integrating machine learning into education and developing tools for environmental acoustic monitoring. She has collaborated on projects like the ESOUNDMAPS initiative, deploying wireless sensor networks for real-time environmental sound mapping. Her work also explores active learning methodologies in physics education and visualization of e-learning platform data. Maria advises courses at both undergraduate and postgraduate levels, including specialized programs in medical signal analysis and smart electronic systems. She actively participates in academic governance and has led several educational innovation projects funded by national and international grants.

Sapountzaki GaliniView profile

Assistant Professor

• Greek Sign Language (GSL) Grammar
• Deaf Education
• Educational Technology for Sign Languages
• +3 more

Sapountzaki Galini is an Assistant Professor at the Department of Special Education, University of Thessaly, specializing in Greek Sign Language (GSL). She has held this position since January 2012 and teaches courses on GSL linguistics and methodology. Her work focuses on language acquisition in deaf communities, educational accessibility, and technology-enhanced learning platforms for sign languages. Education: PhD in Linguistics (2005) from the University of Bristol Diploma in GSL Interpreting (1997) Bachelor’s in Philology (1994) from the Athens School of Philosophy Research Interests: Dr. Sapountzaki’s work bridges theoretical linguistics and applied education. She explores grammar structures in GSL, particularly tense/aspect markers, and advocates for bilingual education for deaf students. Her projects include developing e-learning platforms like SL-ReDu for GSL recognition and assessment, emphasizing 3D modeling and multimodal data fusion. She also examines the impact of language deprivation on deaf children and strategies for remote GSL instruction during crises like the pandemic. Grants & Advising: No specific grants listed, but her work is supported by projects like SYNENNOISI and DIANOIMA. She has advised on curricula for deaf education programs and collaborates with institutions like the Neuropsychology Laboratory and Pedagogical Institute. Her teaching spans special education teacher training and interpreter education. Labs/Teams: Collaborates with the Institute of Speech Processing (ISL) and the University of Thessaly’s Special Education Committee. Active in designing GSL video texts and accessibility tools for public schools.

Roger ZimmermannView profile

Professor

• Multimedia and Distributed Systems
• Multimedia and Mobile Networking
• Spatio-temporal Data Management
• +8 more

Roger Zimmermann is a Full Professor at the School of Computing, National University of Singapore (NUS), where he is also a Co-PI at the Grab-NUS AI Lab and leads the Location AI project. He previously served as Deputy Director of the NUS Smart Systems Institute (SSI) and Co-Director of the Centre of Social Media Innovations for Communities (COSMIC), both funded by Singapore’s National Research Foundation (NRF). Before joining NUS, he was a Research Area Director and Research Assistant Professor at the University of Southern California (USC). Ph.D. in Computer Science, University of Southern California (1998) M.S. in Computer Science, University of Southern California (1994) His research focuses on multimedia systems , spatio-temporal data management , streaming media architectures (especially DASH), machine learning applications , AR/VR , and location-based services . He leads the Media Management Research Lab (MMRL) at NUS, which conducts cutting-edge work in distributed multimedia and intelligent systems. His work combines theoretical depth with real-world applications in urban computing, smart mobility, and immersive media. The recent publications reflect a strong trend toward multimodal learning , spatio-temporal AI , adaptive streaming , and urban intelligence . His team explores zero-shot learning, 3D scene understanding, traffic forecasting, and open-vocabulary audio-visual segmentation, often leveraging foundational models and deep neural architectures. There is a clear emphasis on real-time, scalable systems for smart cities and immersive experiences. Dr. Zimmermann has received numerous accolades, including: DASH-IF Excellence in DASH Award (multiple years) Best Paper Awards at ACM SIGSPATIAL, IEEE ICME, and ACM MMSys Silver Award at ACM MMSys 2020 Grand Challenge IEEE Communications Society Best Editor Award (2017) ACM Distinguished Member (2017) Top 1% Publons Reviewer in Computer Science (2018) He has advised numerous students and led major research initiatives funded by MOE, NRF, A*STAR, NSF, and industry partners like Seagate, Intel, and HP. He has served as General Chair for IEEE MIPR 2023, ACM Multimedia 2020, and IEEE ISM 2015, and as TPC Co-Chair for several top-tier conferences. His editorial roles include Associate Editor for IEEE Transactions on Multimedia (TMM), ACM TOMM, and IEEE OJ-COMS. He leads the Media Management Research Lab (MMRL) , which focuses on intelligent multimedia systems, spatiotemporal data mining, and immersive media technologies. The lab develops scalable solutions for real-world challenges in urban computing, smart transportation, and interactive media.

Frederike DümbgenView profile

Assistant Professor

• Robotics
• Optimization
• Machine Learning
• +12 more

Frederike Dümbgen is an incoming Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, starting in Spring 2026. She is currently a researcher with the Willow team at Inria Paris, focusing on optimization for robotics, and previously served as a postdoctoral fellow at the University of Toronto's Robotics Institute. Education: Ph.D. in Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2021) M.Sc. in Mechanical Engineering, EPFL (2016) B.Sc. in Mechanical Engineering, EPFL (2013) Her research centers on improving the efficiency and safety of robots operating in the physical world through principled optimization and machine learning methods. She emphasizes certifiable and globally optimal algorithms to build reliable foundations for next-generation robotics in domains such as autonomous vehicles, assistive technology, and manufacturing. Her work bridges robotics, control systems, and artificial intelligence, with a strong focus on mathematical rigor and scalability. The 15 most recent publications highlight a consistent trajectory in robotics-focused optimization, particularly in state estimation, SLAM, pose estimation, and data-driven methods. These works frequently employ semidefinite programming, convex relaxations, and Koopman-based linearization, demonstrating a deep integration of theoretical optimization with practical robotic applications. Keywords across these papers include robotics, optimization, machine learning, and estimation, with subfields like certifiable algorithms, global optimality, and sensor fusion recurring throughout. Dr. Dümbgen has not yet had scientific awards listed in the provided text. She has not yet advised any named students in the provided materials, and there is no mention of grants or funding sources. However, her research trajectory and publication record suggest active involvement in competitive research environments. Her experience includes internships at Disney Research and ABB, and her master’s thesis was completed at ETH Zürich’s Autonomous Systems Lab. She is currently affiliated with the Willow research team at Inria Paris, a group known for foundational work in computer vision, machine learning, and robotics. This team emphasizes mathematical rigor in algorithm design, aligning closely with her focus on certifiable and globally optimal methods.

Rajesh NandyView profile

Associate Professor

• Biostatistics
• Functional Magnetic Resonance Imaging
• Neuroimaging Analysis
• +5 more

Rajesh Nandy is an Associate Professor in the Department of Population and Community Health at the University of North Texas Health Science Center's College of Public Health. His research focuses on developing novel statistical methods for solving real-world problems in clinical trials, neuroimaging, and biomedical applications. He holds a PhD in Probability/Statistics from the University of Washington and has collaborated on over 20 sponsored projects spanning neurodegenerative diseases, audiology, and cancer research. Education BS and MS in Statistics, Indian Statistical Institute PhD in Probability/Statistics, University of Washington Research Interests Nandy specializes in multivariate statistical analysis, ROC methods, and machine learning applications. His work addresses challenges in functional MRI artifact correction, noise reduction in medical imaging, and epigenetic risk factors for Alzheimer's disease. He has pioneered methods for analyzing neuroimaging data and optimizing clinical trial designs. Grants & Collaborations His active projects include: NIA-funded Health & Aging Brain Study exploring cognitive decline mechanisms NEI-supported research on ocular pathogenesis and tissue engineering NCI projects investigating tumor-derived signaling pathways Epidemiological studies on noise-induced hearing loss and recreational audio device risks Labs & Teams Nandy collaborates with multidisciplinary teams across neuroscience, oncology, and audiology, contributing statistical expertise to translational biomedical research initiatives.