جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Signal Processing
• Speech Processing
• +۳ مورد دیگر

Dr. Andrew Hines is a Researcher at the School of Computer Science, University College Dublin, specializing in machine learning applications for signal processing in speech, audio, and video domains. His work focuses on Quality of Experience (QoE) modeling, speech quality assessment, and immersive media analysis. He has held leadership roles in European COST Actions like Qualinet and CryptoAction, and previously worked in industry as a Director of Engineering. University: University College Dublin Role: Director of Research, Innovation and Impact Key Collaborations: IEEE (Senior Member), Audio Engineering Society (Ireland) Research interests center on machine learning for QoE optimization, audio-visual integration, and healthcare applications like heart sound classification and stroke rehabilitation. His recent publications explore self-supervised learning, neural speech codecs, and contextual factors in speech/audio quality assessment. Scientific contributions include awards like IEEE Senior Membership, and his work spans both academic research and industrial engineering in finance and aviation sectors. He leads the QxLab research team at UCD and develops open-source platforms such as WARP-Q and AQP for quality metrics.

• Human-Computer Interaction
• Auditory & Speech-Based Interfaces
• Accessibility Technologies
• +۳ مورد دیگر

Ian Pitt is a Lecturer in Usability Engineering and Interactive Media at University College Cork (UCC). He leads the Interaction Design, E-Learning and Speech (IDEAS) Research Group, focusing on multimodal human-computer interaction, auditory interfaces, and accessibility solutions for visually impaired users. Pitt holds a D.Phil from the University of York, followed by research fellowships at Otto-von-Guericke University in Germany before joining UCC in 1997. His research interests include speech-based interfaces, e-learning systems, and accessibility technologies for blind users. Key projects include the EU-funded ENABLE Network (2011–2014) and prototype development for UniWink. He has secured significant grants, including €72,009 from IRCSET for voice analysis research and €19,478 from the EU for ICT-supported learning initiatives. Pitt has advised numerous PhD students, including Flaithri Neff (2011), Emma-Kate Crowley (2014), and current candidates Aine Kearns and Patrick Egan. His publications span journals like International Journal of Game-Based Learning and conferences such as ICCHP and ACM SIGACCESS. He has contributed to committees for conferences like CHI and the Irish HCI conference. Teaching modules include Usability Engineering, Human-Computer Interaction, and Digital Media Development. His work emphasizes inclusive design principles, with projects addressing navigation systems for blind students and adaptive e-learning frameworks. Recent research trends focus on ICT-delivered aphasia rehabilitation, emotional BCI interfaces, and multimodal learning systems. Collaborations include international partners through EU grants, reflecting his global impact in accessibility and educational technology.

Victor Lazzariniمشاهده پروفایل

استاد

• Computer Music
• Digital Signal Processing
• Electroacoustic Music
• +۳ مورد دیگر

Victor Lazzarini is a Professor of Music at Maynooth University, Ireland, specializing in computer music and audio signal processing. He holds a BMus from Universidade Estadual de Campinas (UNICAMP), Brazil, and an AMusD from the University of Nottingham, UK. His research spans electroacoustic music, digital signal processing, and music technology. He leads the Csound project, a widely used sound and music computing system, and authored libraries like Aulib and Aurora. Education: Bachelor of Music (BMus), UNICAMP, Brazil Advanced Music Degree (AMusD), University of Nottingham, UK His research interests include sound synthesis, computer music languages, and the intersection of music with technology. He has authored over 150 peer-reviewed publications and books such as Spectral Music Design: A Computational Approach (Oxford UP, 2021) and co-edited volumes like Ubiquitous Music Ecologies (Routledge, 2020). His work bridges academic and industrial sectors through projects like the Enterprise-Ireland-funded commercialization initiative. Prof. Lazzarini’s contributions to music technology include pioneering tools like Csound, which enable real-time audio synthesis and processing. His articles span topics from digital filter design to historical computer music archaeology, reflecting his expertise in both theoretical and applied domains. Awards: AIC/IMRO International Composition Prize (2006) He advises on interdisciplinary projects such as the BeatHealth initiative, integrating ubiquitous computing and music. His creative output includes electroacoustic compositions performed globally and released on labels like FarPoint Recordings. Lazzarini actively collaborates with international teams, contributing to conferences like DAFx and ICMC, and leads initiatives like the Ubimus (Ubiquitous Music) research network.

Ellen Rusheمشاهده پروفایل

استادیار

• Deep Learning
• Sign Language Recognition
• Domain Adaptation
• +۳ مورد دیگر

Dr. Ellen Rushe is an Assistant Professor at Dublin City University's School of Computing specializing in deep learning with limited supervision. Her research develops solutions for audio-visual data challenges including sign language recognition (SignOn Project), novelty detection, and domain adaptation for sports analytics. Previously a Research Fellow at Trinity College Dublin and Postdoctoral Fellow at UCD, she holds an MSc in Computer Science from UCD and BA in Music Technology from Maynooth University. Research focuses on: Limited-label learning paradigms Sign language recognition for low-resource languages Domain adaptation in sports video analysis Novelty detection in data streams

Andrew Hinesمشاهده پروفایل

استادیار

• Quality of Experience
• Speech Signal Processing
• Audio Signal Processing
• +۵ مورد دیگر

Dr Andrew Hines serves as an Assistant Professor in the School of Computer Science at University College Dublin (UCD) and is a Funded Investigator at the CONNECT Centre. His research focuses on computational modeling for quality assessment across speech, audio, and video systems. Research interests span: Quality of Experience (QoE) metrics development Machine learning applications for health and cryptosystems Speech intelligibility prediction for hearing-impaired individuals Spatial audio streaming quality evaluation His work bridges signal processing theory with practical industry implementations. Hines maintains active industry partnerships, notably with Google on VoIP speech quality metrics and audio codec evaluation for streaming media. He previously represented Ireland on the Qualinet FP7 COST Action management committee, leading machine learning initiatives for QoE modeling, and currently participates in the CryptoAction COST research network. Before academia, he accumulated a decade of industry experience as Director of Engineering in airline and finance software development sectors. His laboratory infrastructure includes the QxLab research group and Dependable Networks project.

Alessandro Raganoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Audio Processing
• Quality of Experience (QoE)
• +۶ مورد دیگر

Alessandro Ragano is a Postdoctoral Researcher at the Insight Centre for Data Analytics , where he has been investigating Quality of Experience (QoE) aspects of audio archives and developing data-driven approaches for QoE estimation and audio restoration using deep learning since 2018. Education: MSc in Computer Science and Engineering from Politecnico di Milano (Italy) BSc in Computer Engineering from Università Degli Studi di Salerno (Italy) His research integrates machine learning , audio signal processing , and multimedia quality assessment to improve speech enhancement, audio restoration, and perceptual modeling. Recent trends in his publications focus on self-supervised learning , objective quality metrics , and audio dataset generation with applications in speech separation, music representation, and audio inpainting. He actively contributes to open-source tools like Binamix and AQP for audio research and quality evaluation.

Joseph Timoneyمشاهده پروفایل

استاد

• Audio Signal Processing
• Musical Sound Synthesis
• Digital Audio Watermarking
• +۳ مورد دیگر

Joseph Timoney is a professor at the Department of Computer Science , Maynooth International Engineering College , Maynooth University. He teaches undergraduate programs in Computer Science and Music Technology, with expertise in audio signal processing, musical sound synthesis, and digital modeling of analog subtractive synthesis. His research spans sound synthesis algorithms, audio watermarking, and ubiquitous music ecosystems.

Jimmy Eadieمشاهده پروفایل

استادیار

• Audio Engineering
• Music Production
• Audio Software Development
• +۷ مورد دیگر

Dr. Jimmy Eadie is an Assistant Professor (Part-Time) in Electronic & Electrical Engineering at Trinity College Dublin. He specializes in sound design, audio engineering, and music production, with a focus on interdisciplinary projects. His work spans hybrid installations, theatre soundscapes, and audio software development, earning international recognition. Eadie holds a PhD in Sonic Design and multiple postgraduate qualifications in music technology, education, and sound engineering. Education highlights include a PhD in Sonic Design, an MPhil (Hons) in Music & Media Technology, and certifications from Berklee College, TCD, and professional bodies like Rational Acoustics and Meyer Sound. His teaching experience includes roles at Pulse College, Griffith College, and the University of Lancashire. Research interests center on audio software development, music production techniques, and sound design for theatre and media. His theatre work with Pan Pan Theatre and Crash Ensemble has received Irish Times Awards and international acclaim. Key projects include the New Irish Recording Company (NIRC) and the Eno’ 100 Worthwhile Dilemmas Plugin , showcasing technical and creative innovation. Grants & Awards: Multiple Arts Council Bursaries, Agility Award, and Trinity’s Teaching Excellence Nomination. Professional Roles: Former audio engineer for Crash Ensemble and touring sound engineer for Irish artists. Labs/Teams: Founder of Crash Ensemble and collaborator with Pan Pan Theatre.

• Multimedia Quality of Experience
• Machine Learning
• Immersive Media
• +۳ مورد دیگر

Dr. Helard Becerra is an Assistant Professor in the School of Computer Science at University College Dublin (UCD). He holds a PhD from the University of Brasília and has held postdoctoral roles at UCD's Insight Centre for Data Analytics and Samsung R&D Institute Brazil. His research focuses on multimedia quality assessment (audio/video/speech) and AI-driven healthcare solutions for stroke rehabilitation. Key contributions include developing NAViDAd (a deep learning-based quality metric) and predictive models for stroke recovery outcomes. Education: B.Sc. (UNSAAC, Peru, 2010); M.Sc. & Ph.D. (UnB, Brazil, 2013/2019). Professional experience includes roles at Samsung (2019), DIT (2017-2018), and leadership in EU projects like Precise4Q (Horizon 2020). Research interests span: 1) Perceived quality in multimedia systems, 2) Explainable AI for healthcare, 3) Predictive modeling in stroke rehabilitation. Notable work includes gradient boosting models for social risk prediction and Elo rating systems for personalized therapy. Teaching responsibilities include coordinating modules on Software Engineering, Parallel Computing, and Programming. He actively supervises graduate students and serves on UCD's Equality, Diversity & Inclusion Committee. Awards include the 2019 Best Student Paper Award at International Symposium on Electronic Imaging. He reviews for top conferences (ACM MMSys, IEEE ICIP) and journals (IEEE Access, IEEE Signal Processing Letters).

Barak Pearlmutterمشاهده پروفایل

استاد

• Adaptive systems
• Automatic differentiation
• Theoretical neurobiology
• +۸ مورد دیگر

Professor Barak Pearlmutter is affiliated with Maynooth University in the Faculty of Science & Engineering . His research spans multiple domains including automatic differentiation , neural networks , machine learning , and neuroscience . He has contributed significantly to adaptive systems , brain imaging , and programming language design . Research Interests include: Adaptive systems, automatic differentiation, theoretical neurobiology, neural networks, machine learning, acoustic source separation/localization, neuroscience, brain imaging, programming language design, and computational neuroscience. Publications focus on applying algorithmic differentiation to machine learning, developing neural ODE models for biomedical signals, advancing sparse NMF techniques, and integrating functional programming with numerical methods. Collaborations span institutions like MIT, Oxford, and IEEE societies, with work in brain-computer interfaces , MEG source localization , and neuromodulation for tinnitus treatment. Technical Contributions include the DiffSharp AD library for .NET languages and foundational work on reverse-mode automatic differentiation in functional frameworks. His 2018 Journal of Machine Learning Research survey on AD remains a seminal reference in the field. Application Areas cover biomedical signal processing , optical brain-computer interfaces , cognitive modeling , and neural code optimization . His work intersects computer science, neuroscience, and mathematical computing through sparse decomposition and probabilistic modeling .

Rob O'Connorمشاهده پروفایل

مدرس

• Software Development
• Podcasting
• Audio/Visual Media Production
• +۳ مورد دیگر

Rob O'Connor is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU) in Ireland, serving as Programme Leader for the BSc (Hons) in Computer Science. He holds an MSc in Computer Science (2004) and a BSc in Applied Computing (1999). His career includes roles as a programmer before joining SETU in 2006. O'Connor is a prominent academic podcaster, hosting The Machine and 9plus , focusing on technical and interdisciplinary research topics. His expertise spans software development, media production, and educational technology. Education: MSc Computer Science (2004), BSc Applied Computing (1999) Podcasting Leadership: Creator/Host of SETU's The Machine and 9plus External Role: Former Radio Presenter at Beat 102-103 (2006–2023) Research interests include podcasting methodologies, accessibility in media, and AI's impact on academic communication. Collaborations include the TEaCH CoLab project, promoting global health education partnerships. His work aligns with UN SDG 4 (Quality Education).

• Cybersecurity
• Deep Learning
• Blockchain
• +۷ مورد دیگر

Yuansong (John) Qiao is a Research Fellow at the Software Research Institute (SRI), Technological University of the Shannon: Midlands Midwest. His work spans cybersecurity, blockchain, and reinforcement learning, contributing to technologies like decentralized edge environments, intrusion detection systems, and immersive 360° video analytics. He supervises PhD students and actively explores applications in robotics, digital twins, and IoT. Recent publications highlight his focus on multi-view deep learning for anomaly detection , blockchain integration with AI , and ROS-based reinforcement learning . These works address challenges in cyber threat identification, decentralized finance, and smart manufacturing. His methodological innovations include knowledge graphs for security analytics and spatial audio analysis for VR environments. Qiao’s research aligns with UN Sustainable Development Goals, particularly in Quality Education (through supervised student projects) and Industry Innovation (via tools like Containerchain and UniROS). His collaborations span cybersecurity frameworks, decentralized robotics, and privacy-preserving systems for smart cities.

• Electroacoustic Compositions
• Sound Synthesis
• Music Technology

Shane Byrne is a Lecturer at the Limerick School of Art and Design, Department of Midlands Media and Design. He completed his PhD, Masters, and Bachelors in Music Technology and Anthropology at the National University of Ireland. His research focuses on electroacoustic compositions, sound synthesis, and the development of music programming environments, particularly using Csound and embedded systems. His doctoral work centered on a portfolio of electroacoustic compositions, while his later publications explore embedded sound synthesis and IoT applications in music technology. His publications demonstrate a consistent focus on integrating technology with music creation, highlighting innovations in real-time synthesis and hardware-software interfaces for artistic expression.

• Music Composition
• Contemporary Music
• Interactive New Media
• +۸ مورد دیگر

Jeffrey Weeter is a Professor at the School of Music and Theatre, University College Cork (UCC), with a transdisciplinary focus on music composition, audio engineering, and interactive technology. As an Emmy Award-winning audio engineer and co-investigator of the IRC-funded 'Loop Love' project, he bridges traditional composition with cutting-edge digital innovation through his Cork Audio Visual Ensemble (CAVE). His research spans Interactive new media composition Digital musical instrument design Live audio-visual performance systems Guerrilla sound techniques Sound installation art Performance dynamics with IoT devices Jeffrey's work analyzes audience-performer-technology relationships through 100+ international compositions, including collaborations with DJ Kate Simko for world tours and the 2018 TG4 Gradam Ceoil Award-winning 'Concert' project. His peer-reviewed publications in IEEE Transactions on Haptics and Organised Sound examine haptic feedback mechanisms in musical contexts. Scientific recognition includes 2009 Daytime Emmy Award for Outstanding Achievement 2017 UCC CACSSS Visiting Scholar Award Multiple Daytime Emmy nominations (2006-2010) 1999 Sherman Conaway Academic Excellence Award 2003 William H. Macy Scholarship He advises doctoral students in music and media technologies and serves on UCC's Academic Development Committee, IT Committee, and Research Committee. As founder of CAVE, he develops custom instruments for electronic performance.

Behnam Faghihمشاهده پروفایل

استادیار

• Music Technology
• Computer Music
• Audio Signal Processing
• +۲ مورد دیگر

Behnam Faghih is an Assistant Professor in the Faculty of Science & Engineering at Maynooth University, specializing in Computer Science with a focus on music technology. His work bridges traditional audio signal processing and modern machine learning approaches for audio/musical analysis. A professional Santoor player with over 12 years of private music study, he brings unique interdisciplinary expertise to his academic role. Education PhD in Singing Signal Analysis, Maynooth University MSc in Information Technology (e-commerce) Bs in Software Development With teaching experience since 2007, he focuses on music programming, software development modules, and has founded two successful software startups. His research combines computational approaches with musicology, evidenced through two published books and multiple peer-reviewed publications.