جست‌وجوی استاد و پژوهشگر

Jeffrey Stoletمشاهده پروفایل

استاد

• Music Technology
• Electroacoustic Music
• Data-driven Instruments
• +۳ مورد دیگر

Jeffrey Stolet is Professor of Music Technology and Director of Future Music Oregon at the University of Oregon's School of Music and Dance. With a PhD in Music from the University of Texas at Austin (1984), he is among the very first individuals appointed to a Philip H. Knight professorship at the University of Oregon. His research focuses on Music Technology, Data-driven Instruments, and Electroacoustic Music. Stolet has pioneered interactive performance environments using wands, sensing devices, game controllers, and other specialized interfaces to control sonic and videographic domains. His work spans computer music programming, real-time performance systems, and multimedia composition. Stolet's compositions have been presented globally at major electroacoustic and new media festivals including the International Computer Music Conference, Society for Electro-Acoustic Music in the United States Conference, and MusicAcoustica Festival in Beijing. His work has also been featured at prestigious venues such as the Museum of Modern Art in New York and the Pompidou Center in Paris. Inducted into China's prestigious DeTao Masters Academy Honorary professorships at two Chinese music conservatories Lifetime achievement award from Musicacoustica for contributions to interactive music Author of the first book about Kyma programming language Developer of Electronic Music Interactive , an award-winning multimedia educational resource Stolet's recent work explores themes of balance, social justice, cultural identity, and the intersection of physical limitations with technological expression, as evidenced in compositions like In Desperate Times (2020) which responded to the George Floyd murder and disproportionate Latinx deaths during the pandemic.

Ahmed Alkhateebمشاهده پروفایل

دانشیار

• Wireless Communications
• Communication Theory
• Signal Processing
• +۵ مورد دیگر

Ahmed Alkhateeb is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His work bridges wireless communications, machine learning, and sensing technologies, with a focus on 6G networks and beyond. He leads the Wireless Intelligence Lab and has contributed to datasets like DeepSense 6G and DeepMIMO. Ph.D., Electrical Engineering, University of Texas-Austin (2016) M.S., Electrical Engineering, Cairo University (2012) B.S., Electrical Engineering (with distinction), Cairo University (2008) Research Interests: Machine learning for wireless communication Integration of sensing and communication for 6G Multi-modal sensing (LiDAR, radar, cameras) for channel optimization AI-based wireless sensing and perception Recent publications emphasize digital twin applications, robust beamforming, and real-world testing of reconfigurable intelligent surfaces (RIS), with a focus on sim-to-real transfer and hardware constraints. His work spans vehicular/drone networks, OTFS modulation, and terahertz communication. Scientific Awards: 2012 MCD Fellowship (University of Texas-Austin) 2016 IEEE Signal Processing Society Young Author Best Paper Award NSF CAREER Award (2021) His lab develops tools like DeepSense 6G and ViWi datasets, advancing AI-driven wireless system design. He explores decentralized interference management and cell-free MIMO architectures for next-gen networks.

• Music and Audio Technology
• Sonic Art
• Human-Computer Interaction
• +۵ مورد دیگر

Tom Davis is an Associate Professor in Music and Audio Technology at The Media School, Bournemouth University , where he teaches on the BA Music and Sound Production degree. He is a practicing artist specializing in sound installation and live performance , with exhibitions across Europe and the United States. His research focuses on the interface between music and technology , including instrument building, technologically mediated improvisation, and enaction. Education: PhD in Sonic Art (Queen's University Belfast, 2008) PGCert in Education Practice (Bournemouth University, 2015) MA in Communication Media: Creative Sound Production (University of the West of England, 2004) BSc (Hons) in Physics with Music (University of Edinburgh, 2001) Research Interests span interdisciplinary domains such as Music Technology , Human-Computer Interaction , and Sonic Art , with a focus on enactive and postphenomenological frameworks. His work explores networked performance ecosystems , actuated instruments , and AI-mediated creativity . Publications and Research Trends reflect his expertise in digital music interfaces , human-AI collaboration , and cultural heritage digitization . Key themes include improvisational agency , assistive technology , and generative sound systems . Grants and Leadership: Davis leads projects like Shared Post-Human Imagination: Human-AI Collaboration in Media Creation (AHRC, 2024) and Improving Educational Outcomes for SEN Students (HEIF, 2017). He serves as an external examiner for institutions like London College of Communication (UAL) and contributes to peer review for journals and funding bodies. Labs and Collaborations: As an affiliate member of CIPPM (Centre for Intellectual Property Policy & Management) , he engages in cross-disciplinary research on emerging technologies and global IP policy .

Alexandre Mercierمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Dialogue Systems
• Voice Assistants
• +۳ مورد دیگر

Alexandre Mercier is a Research Associate at the Software Engineering for Business Information Systems (sebis) chair within the Faculty of Informatics at the Technical University of Munich (TUM) since July 2024. He holds a Master's degree in Computer Science from TUM, specializing in Natural Language Processing with research focus on medical applications, dialogue systems, and text generation evaluation. Mercier completed his Master's thesis titled 'Investigating data to text approaches to achieve diversity of generated marketing text in the music industry' in January 2024 through a collaboration with startup Connactz. His academic journey began with data science work at Würth Elektronik during Bachelor studies before specializing in NLP at TUM. His research centers on enhancing text diversity in generated content while maintaining fluency and relevance, with specific interests in medical NLP applications, voice assistant interpretability (using SHAP values), and evaluation methodologies. He investigates techniques to overcome repetitive outputs in large language models, particularly for marketing contexts in the music industry. Mercier's publication 'JaccDiv' (2024) establishes a metric and benchmark for quantifying inter-sample diversity in generated marketing text. This work explores input data representations and model configurations to produce non-repetitive content for digital platforms, contributing significantly to natural language generation evaluation frameworks. He advises Master's level courses including 'Natural Language Processing - Methods and Applications' and 'Software Engineering for Business Applications', and organizes the Advanced Seminar. His research is funded through projects AssistD (a digital health assistant initiative launching March 2025) and MedTech (medical information extraction from clinical trials with MRI). Mercier operates within the sebis research group led by Prof. Dr. Florian Matthes, contributing to NLP and digital health initiatives. The group maintains active collaborations with industry partners and medical institutions on enterprise architecture management, legal AI applications, and healthcare technology development.

Fabio Calefatoمشاهده پروفایل

دانشیار

• Collaborative Software Engineering
• Social Software Engineering
• Mining Software Repositories
• +۷ مورد دیگر

Fabio Calefato is an Associate Professor at the Department of Computer Science, University of Bari "A. Moro" since 2022, holding national habilitation as Full Professor in academic disciplines 01/B1 (since Dec. 2023) and 09/H1 (since Mar. 2025). He serves as CEO & co-founder of PeoplewareAI academic spin-off (2021-present), Rector's delegate of GARR network (2023-present), and Director's delegate for student traineeships (2023-present). Previously, he was Assistant Professor at the Department of Computer Science (2019-22) and at the Jonian Department, Taranto (2015-19), and conducted post-doctoral research at the Department of Computer Science (2007-08; 2010-14). Dr. Calefato received his Ph.D. in Computer Science in May 2007 from the University of Bari with a thesis titled "Supporting Synchronous Communication in Distributed Software Teams," which was listed on SIGSOFT Selected Ph.D. Dissertations in Software Engineering and published by VDM Publishing. He also holds an MSc in Computer Science from the University of Bari (2002). His research focuses on collaborative and social software engineering, mining software repositories and technical Q&A sites, SE4AI, psychometric and sentiment analyses from communication channels in the social programmer ecosystem, collaboration in online creative communities, community-driven knowledge sharing, and computer-mediated communication theories and tools. His work bridges software engineering with social psychology and AI, particularly examining how developers interact, collaborate, and express emotions in online platforms. Analysis of his recent publications reveals a strong trajectory toward AI integration in software engineering practices, with increasing focus on AutoML applications, sentiment analysis in developer communities, and the impact of generative AI on open-source development. His research spans both theoretical foundations and practical tools, with several software implementations including EMTk (Emotion Mining Toolkit), Apache-Big5 (developer personality profiler), and Pynblint (Jupyter notebook quality assurance). Best Paper Award at ICGSE'18 SIGSOFT Selected Ph.D. Dissertations in Software Engineering Dr. Calefato actively advises doctoral students, with Kelly Azevedo Borges Leal (current, researching AutoML for Software Engineering), Luigi Quaranta (graduated 2022, thesis on collaboration around computational notebooks), and Giuseppe Iaffaldano (graduated 2020, thesis on dynamics of online collaborative communities). His research has been supported through various grants enabling international collaborations with institutions including Carnegie Mellon University, University of Victoria, and TU Wien. He leads the COLLAB research group at the University of Bari, which develops tools and conducts empirical studies on collaborative software development. The group maintains several active GitHub projects including Apache-Big5, mini-IPIP test, EMTk, and pySOreputation, alongside experimental datasets used in multiple published studies. His academic spin-off PeoplewareAI focuses on applying AI to human aspects of software development.

Laura Ferrisمشاهده پروفایل

پژوهشگر

• Social Psychology
• Mental Health
• Mass Gatherings
• +۳ مورد دیگر

Dr. Laura Ferris is a Senior Research Fellow at the School of Business, Faculty of Business, Economics and Law, The University of Queensland, and an Affiliate of the Centre for Research in Social Psychology (CRiSP) under the Faculty of Health, Medicine and Behavioural Sciences. She specializes in social psychology, mental health, and mass gathering research, with a focus on identity processes, wellbeing, and pain communication. Bachelor of Law, The University of Queensland Bachelor of Science, The University of Queensland Postgraduate Diploma, The University of Queensland Bachelor (Honours) of Science (Advanced), The University of Queensland Masters (Research), The University of Queensland Doctor of Philosophy, The University of Queensland Her research spans social identity, mental health in anaesthetists, and psychosocial dynamics at youth mass gatherings like Schoolies week. Recent work explores benign masochism, vaccine adherence, and lay heritability beliefs in cross-cultural contexts. Notable grants include NHMRC MRFF funding for queer-inclusive healthcare identities (2024-2027) and Australian and New Zealand College of Anaesthetists support for mental wellbeing research in anaesthetists (2024-2025). She supervises PhD students in mental health and tourism risk-taking. 2024-2027 : PRIDE - Promoting queer-inclusive professional identities for diversity in primary healthcare (NHMRC MRFF) 2024-2025 : Beyond burnout in anaesthetists (Australian and New Zealand College of Anaesthetists) 2023 : Evidence-based solutions for youth mass gathering wellbeing (UQ Knowledge Exchange & Translation Fund)

Marc Schubhanمشاهده پروفایل

پژوهشگر

• Gamification
• Interactive Systems
• Ubiquitous Computing
• +۳ مورد دیگر

Marc Schubhan is a doctoral researcher at the German Research Center for Artificial Intelligence (DFKI) , associated with the Ubiquitous Media Technology Lab (UMTL) on the Saarland Informatics Campus . He contributes to research in gamification, ambient interfaces, and interactive systems. Research Interests: Gamification, Interactive Systems, Prototyping, Human-Computer Interaction, Ubiquitous Computing, User Experience Teaching: Supervised bachelor's and master's theses on gamification, sound feedback, and interactive design; involved in lectures like "Grundlagen der Medieninformatik". Projects: Participated in initiatives such as MarKIeR and Mittelstand-Digital Zentrum Handel, focusing on gamification, ambient interfaces, and VR applications. Publications: Co-author on 14+ papers in CHI, CHI Play, MUM, and MindTrek, addressing topics like gamified hygiene systems, ambient plant-based interfaces, and multi-modal VR interactions. Contact: Email: Marc.Schubhan@dfki.de

Béquin Philippeمشاهده پروفایل

پژوهشگر

• Acoustics
• Applied Physics
• Ultrasonics
• +۴ مورد دیگر

Philippe Béquin is a Researcher at the Le Mans University Institute of Acoustics, with primary research focus on acoustics, mechanics of porous materials, and electroacoustic devices. His work bridges applied physics and engineering through experimental and computational studies. Key areas: Nonlinear acoustics, plasma microphones, digital parametric arrays Collaborations: Jean-Pierre Dalmont, Pierrick Lotton, Antonin Novak, Stéphane Durand Recent publications analyze nonlinear wave propagation in brass instruments, digital acoustic conversion methods, and plasma-based sensors. His work appears in journals like the Journal of the Acoustical Society of America and conferences such as Forum Acusticum . Notable techniques include Burgers equation modeling, microplasma discharge design, and corona discharge velocimetry. His research contributes to: Advancing acoustic sensor technologies Understanding nonlinear wave phenomena Innovating digital sound projection systems No awards or student advisement data are mentioned in the available texts.

Michał Janochaمشاهده پروفایل

استادیار

• Composition
• Electroacoustic Music
• Algorithmic Composition
• +۵ مورد دیگر

Michał Janocha serves as an Assistant Professor at the Institute of Composition and Music Theory, I.J. Paderewski Academy of Music in Poznań. He is actively engaged with the Electroacoustic Music Studio (SMEAMuz Poznań), the Polish Society for Electroacoustic Music, and the Polish Composers’ Union. As co-founder of both the Poznań Laptop Orchestra λ-ensemble and the Trans-for-Matha Ensemble, he drives innovation in contemporary music performance and creation across Europe and the United States. He earned his doctorate from the I.J. Paderewski Academy of Music in Poznań in 2019, establishing his foundation in advanced compositional techniques and music theory. Janocha's creative research centers on electroacoustic and algorithmic composition , where he pioneers the integration of live electronics , spatial audio , and everyday technology (smartphones, sensors) into musical practice. His work explores 5-dimensional sound geometry and domestic music-making through laptops, bridging traditional composition with cutting-edge digital interfaces. This manifests in diverse output—from chamber orchestral works to interactive installations—characterized by real-time processing, audience participation, and hybrid acoustic-electronic textures that redefine contemporary music boundaries. His publication trends reveal a decisive shift toward interactive spatial audio systems and algorithmic processes since 2019, with increasing focus on smartphone-based performance ( Five roots ), tactile interfaces ( Tactile thresholds ), and political multimedia narratives ( POLSKA 2020 ). The fusion of Polish musical identity with global new music practices remains a consistent thread across his electroacoustic tape works, laptop orchestra compositions, and video-operas. Janocha leads significant creative collectives including the Poznań Laptop Orchestra λ-ensemble—which specializes in networked computer music—and the Trans-for-Matha Ensemble dedicated to premiering new works. Through SMEAMuz Poznań, he contributes to Poland’s electroacoustic music infrastructure while collaborating with major institutions like the Poznań Philharmonic and international festivals including Warsaw Autumn and CAFe Budapest.

• Cryptography
• Steganography
• Machine Learning
• +۵ مورد دیگر

Eric Järpe is a Senior Lecturer at the School of Information Technology, Halmstad University, Sweden, specializing in the convergence of cryptography, steganography, and machine learning for real-world applications. His research focuses on: Advanced steganography techniques across unconventional domains (music, vehicles, smart homes) Machine learning applications for healthcare monitoring and smart sensing Statistical modeling for anomaly detection and sensor data analysis Synthetic data generation to enhance real-world dataset limitations Järpe's work bridges theoretical statistics with practical security and health informatics, particularly addressing challenges in elderly care systems and vehicular networks through innovative data-driven approaches. Publication trends reveal a clear evolution from foundational statistical methods (Ising models, change-point detection) toward applied cryptographic solutions and machine learning for smart environments, with recent emphasis on synthetic data generation for dementia care and activity monitoring systems.

Brian McFeeمشاهده پروفایل

استادیار

• Machine learning
• Music information retrieval
• Recommender systems
• +۱ مورد دیگر

Brian McFee is an Assistant Professor of Music Technology and Data Science at New York University's Music and Performing Arts Professions school. He specializes in machine learning applications for music and multimedia data, with particular focus on structure analysis and audio processing. Director of Graduate Studies, MS Researcher at Center for Data Science Research interests: McFee pioneers methods in music information retrieval, recommender systems, and multimedia signal processing. His recent work explores event-based metrics for music structure, hierarchical embedding learning, and sound event detection technologies. Key awards: ISMIR Best oral presentation and best poster presentation awards (2014) Academic contributions: McFee has advised multiple students including Qingyang (Tom) Xi (Music Technology) and Elena Georgieva (Data Science). His research spans both theoretical developments and practical software implementations like resampy and librosa libraries.

Sergio Canazzaمشاهده پروفایل

دانشیار

• Expressive Information Processing
• Auditory Displays
• Musical Cultural Heritage Preservation
• +۷ مورد دیگر

Sergio Canazza is an Associate Professor at the Department of Information Engineering , University of Padova, Italy. He holds key roles in academic leadership as advisory editor for the Journal of New Music Research and as founder of the Sound and Music Processing Lab . His work bridges music technology , audio restoration , and cultural heritage preservation . Degree in Electronic Engineering, University of Padova CEO, AudioInnova (University spin-off) Research Interests : Expressive information processing in music Auditory displays and cross-modal interaction Preservation of musical cultural heritage Interactive multimedia systems for education AI-driven audio restoration Digital philology for time-based media Scientific Contributions span 20+ years of European/National projects and 200+ publications. His recent work focuses on: Generative AI for IoT sound communication Standardization of audio preservation (ARP technology) Reactivation of historical computer music systems Visual anomaly detection in audio tapes Interactive environments for music education 3D reconstruction of ancient instruments Awards : StartCup Veneto 2010 (Sound and Music Lab) StartCup Veneto 2012 (TechnoTale project) Start Cup 2006 (ARCHIMEDES project) Leadership Roles : Project Manager, EU Culture Program Director, University of Padova's Multimedia Center (2013-2016) Owner of audio preservation patents

Adam Cainمشاهده پروفایل

مدرس

• Digital Arts
• Games Art
• Generative Art
• +۵ مورد دیگر

Adam Cain is a Lecturer at School of Digital Arts (SODA) , Manchester Metropolitan University , specializing in Interdisciplinary Digital Arts and Games Art . With 17+ years of experience in arts education across KS2 to postgraduate levels, he has held significant roles including Programme Leader for Games Art at Nottingham Trent University and currently leads modules on Concept Art, Games for Good, and transdisciplinary collaboration. Current resident artist at Centre for Art, Science and Sustainability Collaborator in Independents Biennial 2025 and Archipelago Arts projects His practice-based research explores intergenerational memory , synthetic media , and generative processes to create experimental audio-visual works. Recent projects like Time Pops Like Chewing Gum and PATIENCE XI examine themes of singularity, transhumanism, and the intersection of nature, technology, and human identity. Scientific Awards & Recognition : Nominated for Aesthetica Art Prize 2025 Shortlisted for multiple teaching awards Adam's work integrates generative AI into transdisciplinary teaching through initiatives like the Future Spaces pilot program, fostering student agency while critically examining ethical implications of emerging technologies.

Anyi Raoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Vision
• Generative Models
• +۴ مورد دیگر

Anyi Rao is an Assistant Professor at the Hong Kong University of Science and Technology (HKUST) where he leads the Multimedia Creativity Lab (MMLab@HKUST) and serves as Associate Director of the HKUST Media Intelligence Research Center. He received his Ph.D. from the Chinese University of Hong Kong and completed postdoctoral research at Stanford University. His research explores human-AI collaboration for creativity, focusing on understanding, editing, and creating art, media, and film. Research Interests: Rao's work centers on developing AI tools that enhance human creativity in visual media production. Key areas include: Controllable generative models for image and video synthesis AI-assisted cinematography and virtual production tools Multimodal understanding of films and creative content Human-AI collaborative workflows for artistic creation His research has produced influential tools like ControlNet and AnimateDiff used by industry leaders including Netflix and Amazon. Publication Trends: Rao's recent publications demonstrate a strong focus on diffusion models, controllable generation, and video understanding systems. His work consistently bridges technical innovation with practical applications in media production, showing increasing emphasis on real-time creative tools and filmmaker-AI collaboration paradigms. Awards and Honors: Forbes 30 Under 30 Asia (2025) Rising Star Award, World AI Conference (2024) Marr Prize (Best Paper), ICCV (2023) Magic Grant, Brown Institute for Media Innovation (2023) Hong Kong PhD Fellowship (2021) Academic Activities: Rao actively recruits students for his research group and has secured multiple grants including Amazon Video Research Fund and Tencent Rhino-Bird Grant. He organized the SIGGRAPH/CVPR Creative Visual Content Workshops and curated the Hong Kong AI Film Festival. He serves on program committees for major conferences including CVPR, ICLR, and SIGGRAPH Asia.

Jaime Ariasمشاهده پروفایل

پژوهشگر

• Formal Methods
• Interactive Systems
• Concurrency
• +۵ مورد دیگر

Jaime Arias is a CNRS Research Engineer affiliated with the SAFER research group at LIPN (Laboratoire d'Informatique de Paris Nord) at Université Sorbonne Paris Nord. His work focuses on formal methods and interactive systems, particularly in verifying concurrent and multimedia systems. Education: PhD in Computer Science (2015, Université de Bordeaux), Engineer degree in Computer Science and Electronics (2013, Universidad Javeriana). His research spans formal specification, verification of concurrent systems, and interactive multimedia applications. He actively contributes to academic committees, including artifact evaluation at POPL, ICFP, and PLDI conferences. Jaime's recent work involves symbolic analysis for test path generation and formal verification of parametric timed automata. His projects, such as PISTACHE and MEASURE, explore state-space reduction and formal models for music improvisation. He leads initiatives at LIPN, including the Software Committee and Development Team, and collaborates with the AVISPA research group. His grants include funding from Université Sorbonne Paris Nord and MSH Paris Nord for formal methods and multimedia projects.