Megumi Terada is a researcher at the Institut für deutsche Sprache und Linguistik within Humboldt-Universität zu Berlin , actively contributing to the Collaborative Research Center 1412 (CRC 1412) under project C06: Seemingly Free (Morpho)Phonetic Variation . She specializes in phonetics, phonology, and language register analysis, with a focus on German spontaneous speech patterns and digital communication impacts. Affiliation: CRC 1412, SFB Project C06 Key Research: Register variation in historical/modern contexts, Zoom-mediated speech effects, L2 German phonetics Her work integrates corpus linguistics with multimodal analysis, examining how situational factors like videoconferencing alter phonetic realizations (e.g., 11.9% reduced vowel space in Zoom contexts). She develops annotation frameworks for spoken corpora (BeDiaCo, CoNNAR), emphasizing inflectional endings, dialogue structure, and acoustic measures. Recent publications address schwa realization in German verbs, orthographic influence on L2 phonetics, and register trends across 2021-2024 datasets. While her awards and student mentoring details aren't explicitly stated, her collaborations with researchers like Christine Mooshammer and Anke Lüdeling demonstrate interdisciplinary engagement in phonetic modeling and register theory.
Kai Kunze is a Professor at Keio University's Graduate School of Media and Governance in Yokohama, Japan, where he leads research in wearable computing and human augmentation. His work bridges engineering, design, and cognitive science to develop cooperative human-computer frameworks that enhance rather than replace human capabilities. Previously, he participated in the Dagstuhl Seminar on Eyewear Computing and has maintained active collaborations with researchers across Japan and internationally. Dr. Kunze's research focuses on creating wearable technologies that augment human senses and capabilities. His work spans eyewear computing, physiological sensing, activity recognition, and affective interfaces. He investigates how technology can enhance human perception in domains ranging from music performance to sports, with particular interest in how sound and physiological feedback can create new interaction paradigms. His philosophy emphasizes cooperative frameworks between humans and computers, seeking to empower rather than replace human capabilities. His publication record shows consistent contributions to top-tier conferences including CHI, UbiComp, ISWC, and SIGGRAPH, with a clear progression from foundational work on smart eyewear (2014-2016) toward more sophisticated human augmentation systems (2020-2023). Recent work explores generative AI applications, emotion augmentation, and the implications of commercial AR/VR platforms like Apple Vision Pro. His research demonstrates strong interdisciplinary connections between computer science, cognitive science, and the arts. As a mentor, Dr. Kunze has supervised multiple students including Katsutoshi Masai, Shoya Ishimaru, and Katsuma Tanaka, who have contributed to projects on facial expression recognition, activity recognition with smart glasses, and other wearable computing applications. His research has been supported by competitive grants including a JST Presto (Sakigake) project grant on Open Collective Eyewear, one of few non-Japanese researchers to receive this funding. He actively participates in academic discourse through conference presentations, workshops, and public engagement events like the Miraikan Science Quest in Tokyo. Dr. Kunze maintains an active research laboratory focused on perception-aware computing, with projects spanning from fundamental sensor development to practical applications for older adults, performers, and athletes. His team explores how physiological data can inform interaction design and how wearable technology can create new forms of human expression and understanding.
Stefania Serafin is a Professor at the Department of Architecture and Media Technology, Aalborg University, where she leads the Multisensory Experience Laboratory. Her work focuses on creating inclusive virtual reality systems that enhance communication, well-being, and accessibility for diverse populations including children, youth, and individuals with hearing impairments. University: Aalborg University School: Technical Faculty of IT and Design Department: Architecture and Media Technology Email: sts@create.aau.dk Research Interests: Serafin specializes in virtual reality systems that integrate auditory and haptic feedback, with particular emphasis on applications for hearing-impaired individuals, educational escape rooms, and elder mobility solutions. Her work bridges sensory technology with human-centered design, contributing to fields like music computing, social presence in VR, and multisensory experience engineering. Recent Research Trends: Analysis of her 2023-2025 publications shows increasing focus on hygiene protocols for VR equipment, AI-generated speech realism, and tactile feedback systems for auditory prosthetics. She explores VR applications across education, healthcare, and gaming, with a strong commitment to accessibility and well-being metrics. Scientific Awards: Best Use of Sound - Academic (2023) Best Papers Award (DAFx20in21) (2021) Danish Sound Prize (2021) 3D User Interfaces Contest Winner (2015) Advising & Grants: Serafin supervises multiple PhD students and has secured major funding from the Independent Research Foundation of Denmark and Velux Stiftung for projects like Audio-Only VR for Blind Gamers and the Telecyclette initiative. She actively participates in peer review, conference organization, and sensory technology standardization. Laboratory: She directs Aalborg University's Multisensory Experience Laboratory, which develops VR systems that combine audio, haptics, and olfactory feedback to improve quality of life metrics.
Neal Hall is an Associate Professor and Temple Foundation Endowed Faculty Fellow in the Department of Electrical and Computer Engineering at The University of Texas at Austin. His research focuses on silicon micromachined acoustic transducers, integrating photonics and MEMS for advanced sensing systems. He leads the Texas Acoustics Group and Microelectronics Research Center (MRC), with applications spanning hypersonic flight, CO2 storage monitoring, and bio-inspired microphone design. Education: B.S. in Mechanical Engineering (UT Austin, 1999), M.S. and Ph.D. in Mechanical Engineering (Georgia Tech, 2002 & 2004) His research combines MEMS fabrication , optical interferometry , and acoustic signal processing to develop extreme-environment sensors. Notable projects include fire-resistant microphones, Europa-bound seismic sensors, and CO2 storage telemetry systems. Recent publications emphasize silicon photonics and piezoelectric materials for ultrasonic and infrasonic applications. Scientific awards include the ONR Young Investigator Award (2014), DARPA Young Faculty Award (2012), and Regents Outstanding Teaching Award (2014). His lab has spun off Silicon Audio, Inc., commercializing high-dynamic-range seismometers and acoustic sensors.
Associate Professor Peter Knees holds a position at the Technische Universität Wien's Faculty of Informatics, specifically within the Department of Data Science. He serves as a Curriculum Coordinator for the Bachelor's Specialization in Artificial Intelligence and Machine Learning. His research focuses on Information Retrieval, Music Information Retrieval, Recommender Systems, and Digital Humanism. Knees has coordinated major projects such as the Vienna Doctoral College on Digital Humanism (2024–2029) and contributes to initiatives like FAIR-AI and HumRec. He teaches courses including Digital Humanism and Introduction to Information Retrieval. His work bridges technical innovation with ethical considerations, emphasizing transparency and fairness in AI systems. Education: Holds Dipl.-Ing. (TU Wien) and Dr.techn. (Technical Doctorate). His interdisciplinary projects span music technology, ethical AI, and smart grid systems. He has supervised numerous theses on topics like music recommendation algorithms and audio processing techniques. Research Interests: Explores intersections of music technology and AI, including content-driven recommendation systems, reproducibility in machine learning, and the societal impact of digital technologies. Recent work emphasizes ethical frameworks for recommender systems and human-centered design principles. Grants & Projects: Lead roles in WWTF-funded Digital Humanism initiatives, FFG projects on AI innovation, and EU-backed MIR research. Active in organizing conferences like RecSys and ISMIR workshops. Labs/Teams: Involved with the Vienna Doctoral College, TU Wien's Data Science group, and collaborations with institutions like ASEA-UNINET for ethnomusicology data integration. Leads efforts in neural-symbolic systems for smart grids and generative music interfaces.
Dr. Stuart James is a Lecturer in the Composition and Music Technology program at the Western Australian Academy of Performing Arts , part of Edith Cowan University . His career spans composition, sound design, performance, and music technology development, with a focus on integrating acoustic and electronic media. Education: PhD (2015) in Spatial Audio and Synthesis Master of Arts in Creative Arts (2006) Bachelor of Music with First Class Honours (2001) Certificate in Jazz (1995) Research Interests encompass Music Composition with a blend of acoustic and electronic instruments, Immersive Audio-Visual Systems , Wave Terrain and Spectral Synthesis , and Digital Signal Processing for performance. His work explores Electroacoustic Performance Practice and Networked Music Environments . Publication Trends reflect a focus on experimental composition , interactive notation (notably iPad-based systems like the Decibel ScorePlayer), and spatial audio techniques . Collaborative projects with ensembles such as Decibel and artists like Erin Coates and Louise Devenish highlight his interdisciplinary approach. Scientific Awards include the ASME Young Composers' Competition State Finals Winner , the Dorothy Ransom Composition Prize , and nominations for Australian Music Centre Awards . Professional Contributions include founding membership in the Decibel Ensemble , managing a commercial recording studio for artists like ShockOne, and developing networked music notation software . He has supervised PhD projects on topics like meditative sonic praxis and timbre analysis .
Howard J. Hamilton is a Professor at the Department of Computer Science, Faculty of Science, University of Regina. His research spans Data Mining, Machine Learning, and Human-Computer Interaction. University of Regina Department of Computer Science Faculty of Science Research Interests: Hamilton focuses on Data Science , Machine Learning , Speech Recognition , and Augmented Reality applications in healthcare. His recent work includes the My Daily Routine (MDR) system using HoloLens for dementia care and blockchain-based IoT security mechanisms. Scientific Contributions: He has co-authored 15 recent papers on topics spanning Time Series Forecasting , GANs for Game Design , and Smart Grid Security . His work has been presented at top venues like IEEE ICC, ICAART, and IEEE VR. Awards: Recipient of the Best Paper Award at INTENSIVE'12 and Second Place Best Paper at FLAIRS'99. Student Training: As a supervisor, he has mentored over 30 graduate students and project assistants in Computer Science and related fields, including Ph.D. candidates in Multi-Agent Systems and AI for Cooperative Games .
Professor Wen Hu is a distinguished academic at the School of Computer Science and Engineering at the University of New South Wales (UNSW), where he holds a professorship focusing on cutting-edge research in cyber-physical systems and the Internet of Things (IoT). With extensive experience in both academia and industry, Professor Hu has established himself as a leading researcher in sensor network systems, low-power communications, security, and compressive sensing. His work bridges theoretical research with practical applications, as evidenced by his active commercialization efforts through roles as Chief Technology Officer at Parking Spotz and former Chief Scientist at WBS Tech. Professor Hu's research interests span multiple domains within cyber-physical systems and IoT. His work particularly focuses on low-power wireless communications , sensor network security , compressive sensing techniques , and novel applications of IoT technologies . His research group explores how these technologies can be applied to solve real-world problems in areas such as smart buildings, environmental monitoring, and human-computer interaction. The research integrates hardware design, communication protocols, security mechanisms, and data analytics to create efficient and robust IoT systems. Professor Hu's publication record demonstrates a consistent focus on advancing the state-of-the-art in wireless sensor networks and IoT. His recent work shows increasing integration of machine learning techniques with traditional sensor systems, exploring applications in areas ranging from healthcare monitoring to agricultural technology. There's a clear trend toward more sophisticated signal processing approaches, particularly using mmWave technology and visible light communications, while maintaining the core focus on energy efficiency and security that has characterized his earlier work. CSIRO Office of Chief Executive (OCE) Julius Career Award (2012-2015) Professor Hu has successfully secured multiple research grants from the Australian Research Council, CSIRO, and industry partners, enabling his team to pursue ambitious research projects with both theoretical significance and practical applications. His editorial leadership as Editor-in-Chief of ACM TOSN and organizational roles in major conferences like CPS-IoT Week 2020 and ACM/IEEE IPSN 2023 demonstrate his significant contributions to the research community. As a senior member of both ACM and IEEE, he actively mentors students and early-career researchers while fostering collaborations across academia and industry. Professor Hu leads a vibrant research group at UNSW that combines theoretical research with practical implementation. His team works closely with industry partners to ensure research relevance and facilitate technology transfer. The group maintains strong connections with international research communities and participates in collaborative projects that address global challenges in IoT and cyber-physical systems.
Bruce DENBY is a Professor at Sorbonne University specializing in speech processing, telecommunications, and indoor localization. His research spans multiple disciplines including computer science, physics, and environmental science with significant contributions across these fields. His primary research interests include: Silent Speech Interfaces and speech restoration technologies Indoor localization using wireless networks and GSM fingerprints Telecommunications and signal processing Environmental modeling of road dust and air pollution Machine learning applications in speech recognition Dr. DENBY's research trajectory shows evolution from early work in high energy physics to speech processing and wireless communications, with recent publications (2022-2025) demonstrating continued innovation in WiFi analytics, client density mapping, and future speech interfaces. His work increasingly integrates deep learning techniques while maintaining focus on practical applications, particularly for speech restoration and privacy-preserving network analysis. Notable scientific achievements: Chester Sall Award Paper (2012) for work on FPGA-based FM broadcast receivers Significant contributions to the Silent Speech Challenge benchmark with deep learning approaches Development of the NORTRIP model for road dust emissions Highly cited work on Silent Speech Interfaces (over 500 citations) Dr. DENBY has secured research funding across multiple domains, collaborating with institutions across Europe. His work demonstrates strong interdisciplinary connections between speech technology, wireless communications, and environmental science, with applications ranging from assistive technologies to urban air quality management.
Josef Ström Bartunek serves as a Senior Lecturer in the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden, where his research centers on systems engineering with specialized focus in biometric image analysis and computer vision. Education PhD in Systems Engineering, Blekinge Institute of Technology (2016) - Dissertation: FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION Research Focus Dr. Bartunek's work spans biometrics (fingerprint/iris recognition), forensic image analysis, and industrial computer vision. His fingerprint enhancement algorithms address noise reduction and feature extraction challenges, while recent research extends to surface topography analysis in manufacturing quality control. The VISIR open lab platform publications demonstrate his secondary interest in remote engineering education technologies. Publication Trends His 15 most recent publications (2004-2020) reveal an evolution from core biometric algorithm development (2004-2013) toward industrial applications (2016-2020). Early work centered on fingerprint minutiae extraction and neural network applications, while post-2016 research increasingly addresses forensic image resolution and manufacturing process monitoring through camera-based systems. Scientific Awards No scientific awards or fellowships were documented in the available sources. Advising and Grants No information regarding graduate student supervision, research grants, or funded projects was provided in institutional records. Laboratory Affiliations No specific laboratory teams or research groups were mentioned in the current affiliation details.
Nikolaos Tsourakis is a researcher affiliated with the University of Geneva , specifically the Faculty of Translation and Interpreting , and contributes to the TIM/ISSCO research groups. His work primarily focuses on natural language processing, speech technology, and computer-assisted language learning (CALL), with a strong emphasis on accessibility and medical applications. Research Interests Natural Language Processing Speech-to-Speech Translation Text Simplification Computer-Assisted Language Learning (CALL) Medical Informatics Multimodal Interaction Tsourakis's recent publications highlight advancements in French text simplification, robust synthetic data generation, and the use of BERT for complexity assessment. His work often integrates machine learning techniques with practical applications in medical and educational contexts. Notable Projects BabelDr : Web platform for rapid development of medical speech translation CALL-SLT : Spoken CALL systems for language learning MEDSLT : Medical speech translation systems Tsourakis has supervised no formal advisees but has contributed to numerous publications and research initiatives, particularly in low-resource language processing and ethical AI design.
Garth Paine is a Professor of Digital Sound and Interactive Media in the School of Arts, Media and Engineering and Professor of Composition in the School of Music, Dance and Theatre at Arizona State University. He is also affiliated with the Center for Biodiversity Outcomes, Humanities for the Environment Global Network, and serves as a Senior Global Futures Scientist with the Julie Ann Wrigley Global Futures Laboratory. Dr. Paine earned his Ph.D. from RMIT University in Melbourne, Australia in 2003, with a dissertation titled "Unencumbered Human Movement in Interactive Immersive Environments." He also holds a Graduate Certificate in IT (Software Engineering) from Swinburne University of Technology (2002) and a Bachelor of Music in Performance (Flute) from the Conservatorium of Tasmania, University of Tasmania (1985). Professor Paine's research centers on acoustic ecology and the exploration of sound as our lived context, including the application of VR in health. He crosses art-science boundaries with his community-embedded work on environmental listening and creative place-making. His passion for sound as an exhibitable object has given rise to interactive environments where the sonic landscape is generated through gesture, presence, and behavior. He co-directs the Acoustic Ecology Lab (AELab@ASU) with Professor Sabine Feisst, which he established in 2016. His current research includes the Listen(n) Project, an acoustic ecology initiative focusing on field recording and community building. Dr. Paine's work spans from composing musical works from field recordings to developing interactive environments using real-time video tracking and bio-sensing. Dr. Paine's publications and creative works demonstrate a consistent focus on the intersection of sound, technology, and environmental awareness. His research spans acoustic ecology, interactive performance systems, new musical instrument design, and environmental sound studies. A recurring theme across his work is the exploration of how sound can create meaningful connections between humans and their environments, particularly through innovative technological approaches. His "Future Perfect" project explores the seam between virtual reality as a documentation format for environmental research and the notion that 'nature' as we know it may only exist in virtual reality archives. Among his notable achievements are: Green Room Award for Outstanding Creativity, for Escape Velocity (Company in Space) Finalist for the Best new Musical Score for Dance, 2014 Keynote speaker at NIME2016 (International Conference on New Interfaces for Musical Expression) Editorial Board Member, Organised Sound Journal, Cambridge University Press Professor Paine has directed significant research projects including the Taxonomy of Interfaces/Instruments for Electronic Music performance (TIEM) with McGill University and the Electronic Music Foundation, resulting in an online database of current practice. He has also served as interim-director (2012-13) and associate director (2013-14) of the School of Arts, Media and Engineering, and as undergraduate chair for the Digital Culture program (2011-2014). His artistic research residency at IRCAM (Centre Pompidou) in Paris focused on developing interactive crowd mapping using smart phone beacons and interactive spatialization techniques for his "Future Perfect" project. At Arizona State University, Dr. Paine co-directs the Acoustic Ecology Lab (AELab@ASU), which focuses on community-based acoustic ecology projects, field recording, and environmental sound studies. The lab serves as a hub for interdisciplinary research connecting music, environmental science, and digital media. His work has been performed internationally across Australia, Europe, Japan, USA, South America, Hong Kong, New Zealand, Korea, Macedonia, and the UK, demonstrating the global impact of his research and artistic practice.
Cristian Bogdan is a Professor at KTH Royal Institute of Technology, Stockholm, within the Media Technology and Interaction Design division. His work focuses on human-computer interaction, interaction design, and human-centered software engineering, with the goal of making complex technologies accessible and actionable for people. Education & Courses: While explicit degrees are not listed, Bogdan has extensive teaching responsibilities. He is the examiner for seven advanced-level degree-project courses and teaches or coordinates courses such as Advanced Interaction Programming (DH2643) , Interaction Programming and Dynamic Web (DH2642) , and Software Development for Interactive Media (DM1595) . He founded the course DH2400 Physical Interaction Design and Realization . Research Interests: Bogdan’s research integrates human-computer interaction with sustainable design , virtual and mixed reality , and programming education . He explores how embodied interaction, sonic feedback, and declarative models can create intuitive systems for domains ranging from energy sustainability to public transport and clinical therapy. Publications Trend: His recent articles (2020-2025) reveal a concentration on virtual and mixed reality applications —including locomotion techniques, exposure therapy, and block-based programming in VR—alongside software engineering topics such as dependency bloat and cross-platform frameworks. Sustainability themes appear in studies on energy feedback and inclusive transport. Advising & Grants: Since 2006 he has graduated five PhD students (Kis, Hasselqvist, Rauh, Koller, Hedlund) and co-supervised two others (Sandor, Lundström). Grant details are not disclosed in the supplied text. Labs & Teams: He is affiliated with the MID division (Media Technology and Interaction Design) at KTH, but specific lab names or larger team structures are not provided.
Friedrich Neubarth is a lecturer at the University of Vienna, affiliated with the Department of German Studies and the Department of Philosophy. His work bridges theoretical linguistics and computational approaches to language processing. Research Focus: Speech synthesis for dialectal varieties, computational modeling of morphology/syntax, phonological representation primitives, and prosodic correlates of information structure. Key Projects: VSDS (Viennese Dialect Synthesis), MLT4MLV (Machine Learning for Language Varieties), LEGO Audio & Braille Building Instructions, and MAGNIFICENT (Multifaceted News Analysis). Academic Contributions: 15-year publication record (2008-2023) spanning speech technology, dialectal machine translation, crossmodal word learning, and formal syntactic theory. Notable collaborations with Brigitte Krenn, Harald Trost, and Michael Pucher. Teaching: Delivers courses in linguistics and grammar at the University of Vienna, including exercise courses and lecture+exercise combinations since at least 2003. Technical Expertise: Development of spoken dialogue systems incorporating Viennese dialect synthesis, creation of multimodal language learning frameworks, and construction of annotated linguistic corpora for research.
Bryan Reinicke serves as Associate Professor in the Department of MIS, Marketing, and Analytics at Rochester Institute of Technology's Saunders College of Business, teaching foundational courses in information systems technology and capstone project management. Education: BA, College of Wooster MBA, Kent State University Ph.D., Indiana University His research centers on cyber security education, project management methodologies, and human-technology interaction within information systems. Key contributions include developing virtual environments for cyber defense training and analyzing emotional intelligence applications in IT project teams, bridging theoretical frameworks with practical business implementations. Publication trends from 2012-2024 reveal sustained focus on educational technology innovation, particularly virtual labs for security training, alongside evolving exploration of human factors in autonomous systems and regulatory impacts on information strategy. His work consistently addresses real-world business challenges through academic research. Professor Reinicke mentors undergraduate students through capstone projects requiring teams to develop client-specific information systems, while advancing curriculum design through iterative integration of active learning techniques and external client engagements. He founded ViNEL (Virtual Networking Lab), a specialized platform providing immersive cyber defense education through simulated network environments that replicate real-world security challenges.
