Prof. Dr.-Ing. André Jakob is a faculty member at Berlin University of Technology , affiliated with the Department VII - Electrical Engineering - Mechatronics - Optometry. His academic role spans teaching and research in digital signal processing, audio technology, and acoustics. Digital Signal Processing Audio Technology Acoustics Active Noise Control His research focuses on active noise control , simulation of moving sound sources , and audio signal processing , with applications in robotics, building acoustics, and medical devices. Publications include advancements in anti-noise window systems , sound source localization , and acoustic measurement techniques . His recent work explores real-time auralization for educational robotics and nonlinear acoustic modeling with neural networks. The 15 most recent articles demonstrate a consistent focus on acoustic simulation , active control systems , and sound propagation modeling , with conference contributions at DAGA, NAG-DAGA, and international acoustics events. Topics range from dental drill noise reduction to active sound design in musical instruments , reflecting interdisciplinary applications. He supervises numerous Master's and Bachelor's theses in areas like real-time signal processing, deep learning for sound recognition, and virtual acoustics. His lab at TU Berlin explores multi-loudspeaker systems , acoustic beamforming , and active noise cancellation for both industrial and consumer applications.
Dr. Sebastian Bosch serves as Manager of the Mobile Lab at the University of Hamburg's Centre for the Study of Manuscript Cultures (CSMC). He leads material analysis initiatives for cultural heritage artifacts through advanced scientific instrumentation. His roles include managing XRF and FTIR spectrometers in the Mobile Lab, and contributing to the Cluster of Excellence 'Understanding Written Artefacts' (2019–2025). Key projects include the Palm-Leaf Manuscript Profiling Initiative and material analysis of medieval manuscripts. Bosch holds a PhD in material science and has extensive experience in non-destructive testing techniques. His work bridges archaeometry, digital humanities, and conservation science. Research interests focus on multispectral imaging, pigment characterization, and technological applications for cultural heritage preservation. He collaborates internationally on projects like the Atri Fragment Revisited and Squarcialupi Codex analysis. Technical expertise includes XRF spectroscopy, infrared microscopy, and software development for pattern analysis in manuscripts. Has presented over 27 academic activities, including lectures on Mobile Lab methodologies and material analysis workshops. Manages laboratory equipment worth millions euros, supporting interdisciplinary research. Supervises technical operations for dozens of manuscripts annually through the Mobile Lab's fieldwork capabilities. Awards: No formal academic awards listed, though work has been recognized through high-impact publications in journals like Manuscript Studies and i-com .
Dr. Amber Dumford is a Professor at the University of South Florida in the College of Education , specializing in Higher Education and College Student Affairs . She holds a Ph.D. in Higher Education (with a cognate in Sociology) from Pennsylvania State University , a M.P.A. from Indiana University Bloomington , and a B.S. in Mathematics from the same institution. Teaches courses in Student Affairs Assessment, College Teaching, and Globalization in Higher Education Currently serves on doctoral dissertation committees Active in research on student engagement, gender issues, and data quality in higher education Reviews for 20+ peer-reviewed journals and serves on editorial boards of top journals Consultant for National Center for Educational Statistics and institutions in US/Canada Research Interests include: Factors influencing student engagement and learning Gender disparities in higher education Arts and engineering education outcomes Creativity in academic settings Quantitative reasoning and assessment Data quality in educational research Food insecurity among diverse college students Publications reflect trends in student engagement , career readiness , data-driven educational practices , and equity in higher education . Her recent works focus on socioecological factors affecting food pantry usage and validity of survey instruments in measuring student behaviors. Service Contributions : Active member of university committees and councils Board member of Research in Higher Education and Journal of College Student Development Statistical modeling consultant for National Center for Educational Statistics Teaching Experience spans traditional mathematics instruction (2002-2014) to higher education seminars and globalization studies at USF. She plans to develop data analytics and institutional research courses.
Youngmoo Kim is Professor of Electrical and Computer Engineering at Drexel University, where he directs the Expressive and Creative Interactive Technologies (ExCITe) Center. His leadership extends to the Music & Entertainment Technology Laboratory (MET-lab), focusing on machine listening, robotics for expressive interaction, and STEM education through music technology. Education: PhD, Media Arts & Sciences, MIT (2003) MS, Electrical Engineering, Stanford University MA, Music, Stanford University BS, Engineering, Swarthmore College BA, Music, Swarthmore College Research Focus: Kim's interdisciplinary work bridges audio signal processing, machine learning for music information retrieval, human-robot interaction, and acoustic synthesis. His lab develops novel interfaces including brain-controlled robotics, augmented instruments, and AI-driven music systems, while championing K-12 STEAM education through technological innovation. Publication Trends: Recent articles demonstrate strong convergence of deep learning with music technology, particularly in neural audio synthesis, instrument recognition, and robotic control systems. Emerging themes include differentiable physical modeling of instruments, neuroadaptive interfaces using fNIRS/tDCS, and computational approaches to creative collaboration. Awards & Honors: 2021 College of Engineering Inclusive Excellence Award 2013 Apple Distinguished Educator 2012 Lindback Foundation Distinguished Teaching Award 2012 Philadelphia Geek Awards Scientist of the Year 2007 NSF CAREER Award Leadership & Funding: Kim has secured research support from the National Science Foundation and Knight Foundation. His ExCITe Center serves as an interdisciplinary hub for creative technology development, while MET-lab advances audio-machine intelligence through collaborations across engineering, computer science, and performing arts.
Vanessa Ratten is an Associate Professor of Entrepreneurship at La Trobe Business School, La Trobe University, Melbourne, Australia. Her research focuses on entrepreneurship education, sport entrepreneurship, innovation in emerging economies, and digital transformation. She holds a PhD from the University of Queensland and has over 20 years of experience in teaching at AACSB-accredited institutions globally. Dr. Ratten is Editor-in-Chief of Journal of Management & Organization and Journal of Family Business Management , and has published over 150 peer-reviewed articles, 7 sole-authored books, and co-edited 20+ volumes. Her honors include Stanford's Top 2% Global Scientists (2022) and Australia's 2025 field leadership in Entrepreneurship & Innovation. Research Interests Entrepreneurship Education & Pedagogy Sport Innovation and Startups Artificial Intelligence in Management Tourism Entrepreneurship Family Business Management Recent Article Trends Focus on AI applications in family businesses, digital empowerment strategies for SMEs, and sport entrepreneurship ecosystems. Her work bridges theoretical contributions with practical industry insights. Awards & Recognition Research.com Australia's Top Business Researchers (2022) Stanford 2% Global Scientists by Research Impact 2025 The Australian Field Leader Award Advisory & Grants Supervised 2 PhD and 4 MPhil completions, examined 8 international theses. Active in collaborative industry projects and journal special issues across 15+ academic platforms. Labs/Teams Leads entrepreneurship innovation initiatives at La Trobe, contributing to Palgrave's Global Entrepreneurship Studies book series and Routledge's Innovation Horizons series.
Baptiste Bacot is a Researcher at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. His work focuses on electronic music production, groove design, and the intersection of music technology with creative practices. He holds a PhD in Music, History, Society from EHESS and IRCAM in Paris, with prior roles at CNRS labs in Lille and Paris. Education: PhD in Music, History, Society (EHESS/STMS-Ircam, Paris), Masters in Art/Music Theory (EHESS), Bachelors/Masters in Philosophy (Grenoble University). Research interests revolve around how sound technologies reshape music creation through material and digital mediums. Current projects include studying bass music producers' rhythmic approaches and the 'Groove design in Bass music' project exploring electronic music production practices. Methods include fieldwork, interviews, and digital data analysis. Publications span topics like electronic music instrumentation, hacking in music tech ethics, and historical acoustic research in Marseille. His work bridges musicology, technology, and philosophy, with a focus on interdisciplinary approaches. Advising and grants: Postdoctoral fellowships at CRIStAL lab (Lille) and STMS lab (Paris), supervised by Prof. Marc Chemillier and Dr. Nicolas Donin. Active in collaborative projects like the Dezrann music corpus platform. Labs/Teams: RITMO Centre, Algomus team (Lille), Analysis of Musical Practices team (Paris), and STMS lab collaborations.
Pierrick Lotton serves as a CNRS Research Director at Le Mans University's Institute of Acoustics (LAUM), a joint research unit between CNRS and the university. He leads critical work within LAUM's Transducers team, focusing on fundamental and applied research in electroacoustics and thermoacoustics. His institutional affiliation places him at France's premier acoustics research laboratory, which maintains extensive facilities for acoustic measurements, ultrasonic experimentation, and transducer development across multiple specialized domains including materials science, opto-acoustics, and bioacoustics. Lotton's research program centers on two interconnected pillars: electroacoustics and thermoacoustics. His electroacoustic investigations pioneer advanced modeling, development, and characterization of audio transducers with particular emphasis on nonlinear behaviors in loudspeakers and electric guitar pickups. Simultaneously, his thermoacoustic research explores acoustic refrigeration systems, complex couplings between acoustic and thermal energy fields, and transient nonlinear phenomena. This dual focus enables innovative cross-pollination between audio engineering and thermal physics, driving advancements in both fundamental understanding and practical applications of acoustic energy conversion. Analysis of his 2019-2024 publications reveals a consistent trajectory in transducer physics, particularly MEMS-based piezoelectric speakers, voice coil dynamics in magnetic environments, and digital acoustic projection systems. His work demonstrates exceptional methodological diversity spanning analytical modeling, experimental validation, and educational innovation. Notable contributions include the ASKNOWN project's open-access acoustics courseware and breakthroughs in understanding transducer nonlinearities for both consumer audio and specialized applications like fish sound localization. No major scientific awards were documented in the available institutional materials, though his sustained publication record in high-impact journals and presentations at European Acoustics Association forums indicate significant peer recognition. His collaborative research network spans France, Germany, Italy, and the Czech Republic, reflecting strong international engagement. Lotton's academic supervision activities aren't explicitly detailed, but his educational initiatives like the ASKNOWN project demonstrate commitment to pedagogy. His research is supported through LAUM's institutional framework and collaborative projects including European initiatives and ANR-funded programs. Current work appears concentrated on advancing MEMS transducer technology, refining thermoacoustic cooling systems, and developing next-generation educational resources for acoustics. As a core contributor to LAUM's Transducers team, Lotton operates within one of Europe's leading acoustics laboratories. His current projects align with LAUM's strategic focus on transducer innovation and thermoacoustic applications, positioning him at the forefront of both theoretical acoustics research and practical engineering solutions. The laboratory's comprehensive infrastructure supports his work from fundamental wave propagation studies to applied device development.
Gideon Nave is the Carlos and Rosa de la Cruz Associate Professor of Marketing at The Wharton School, University of Pennsylvania. He holds a prominent position within the Department of Marketing and contributes significantly to the school's research and teaching missions in consumer behavior, marketing analytics, and decision sciences. His academic journey began with B.Sc and M.Sc degrees in Electrical Engineering from the Technion – Israel Institute of Technology, specializing in Signal Processing. He then pursued and earned his PhD in Computation & Neural Systems from the California Institute of Technology (Caltech), establishing the interdisciplinary foundation for his current research program. Nave's research focuses on how technological developments in measurement instruments have granted unprecedented access to individual-level data. His work spans several interconnected domains: Consumer neuroscience and neuroeconomics Applications of genetic data in marketing AI's impact on creativity and consumer research Ethical implications of new data collection technologies Decision-making processes across various contexts He investigates how digital footprints of online behavior, MRI, genotyping, and hormonal assays can help understand consumer preferences and behavior, while critically evaluating the ethical challenges these technologies present. His publication record demonstrates a clear trajectory toward understanding the intersection of emerging technologies and consumer behavior. Recent work particularly emphasizes AI applications in marketing research, genetic data utilization for personalization, and neuroscientific approaches to understanding decision-making processes. His methodological approach often combines large-scale datasets with rigorous experimental designs, contributing significantly to both theoretical advancement and practical applications in marketing. Nave's contributions to the field have been recognized with several prestigious awards: National Science Foundation Faculty Early Career Development (CAREER) Award (2020-2025) Association For Consumer Research (ACR) Early Career Award (2024-2025) APS Rising Star Award (2020) Poets & Quants Selection as one of the "World's Best 40 B-School Professors under the Age of 40" (2021) As a recipient of the NSF CAREER Award, Nave leads significant research initiatives examining the applications and ethical implications of new measurement technologies in marketing and consumer behavior. His work has attracted considerable media attention, with features in major outlets including The New York Times, The Guardian, CNN, and The Economist, reflecting the broad relevance and impact of his research. While specific lab names aren't prominently featured in his public profile, Nave's research appears to involve extensive interdisciplinary collaborations spanning neuroscience, genetics, computer science, and marketing. His publications frequently include co-authors from diverse disciplinary backgrounds, suggesting a team-based research approach that bridges traditional academic boundaries.
Simon Mawhinney is a Professor in the School of Arts, English and Languages at Queen's University Belfast, specializing in composition with a focus on instrumental and electronic media. His work bridges complexist music, post-spectral harmonies, and cultural cantillation influences. Notable collaborations include projects with ensembles in Germany, France, and Iceland. He holds a Queen’s University Teaching Award (2012) and has pioneered modules on Messiaen’s music. His research explores new music performance, computer-assisted composition (using OpenMusic), and experimental technologies. Current roles include PhD supervision in composition, convening MA research methods modules, and undergraduate composition instruction. Key achievements include commissions from Ensemble Caput (Iceland) and Garth Knox/Quatuor Béla, resulting in works such as Marlacoo and a viola d’amore/string quartet piece premiered in Paris (2013). Recent projects involve recordings with pianist Mary Dullea and bass flutist Kolbeinn Bjarnason. His fingerprint research areas include labour studies in composition, technical performance practices, and avant-garde instrumentation. Over 35 compositions span decades, with 2016-2019 works emphasizing electronic integration and algorithmic processes. Awards include the AIC Composition Prize (2001) and Ann Driver Trust Award (2000). Professional service roles include Elected Member of the Academic Council since 2010 and Exams Liason Officer (2009-2011). Teaching: Undergraduate modules on Messiaen, Beethoven's late works, and composition techniques Research: Focus on postwar modernism, new musical technologies, and performance-based creation Public Engagement: Active in festivals, radio interviews, and international recitals
Prashanth Thattai Ravikumar is a Lecturer in the Computing Department at Goldsmiths, University of London. His research focuses on enhancing human-AI co-creativity through generative audio and music systems, with applications in VR, gaming, and EdTech. He leads courses in MOOCs, Digital Signal Processing (DSP), and computer graphics. Education: PhD in Human-AI Co-creativity (National University of Singapore, 2020); MA in Communications and New Media (NUS, 2014); BTech in Computer Science and Engineering (National Institute of Technology, Trichy, 2012). Research interests include developing efficient software for generative audio, real-time music creation, and deep neural networks. His work emphasizes human-AI collaboration to produce novel creative experiences. Key projects include Harmonaise (algorithmic music generation from gestures) and Syntex (audio texture datasets for neural networks). Recent work trends focus on parametric audio systems, AI-driven music interfaces, and scalable audio datasets. His 2022 Arts X Tech Grant supported a pioneering music technology project in Singapore. Awards: Arts X Tech Grant (2022) Grants: $30k National Arts Council award for music tech innovation Lab/Team affiliations include projects like COVID-Life (cellular automaton game) and Rhythm Partner Study , exploring interactive AI-driven music systems.
Bruno Tucunduva Ruviaro is an Associate Professor in the Department of Music within the College of Arts and Sciences at Santa Clara University, where he has taught since Fall 2012. Originally from Brazil, Ruviaro is a composer and performer with a specialization in electronic music. Prior to joining Santa Clara, he studied and worked at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University. Ruviaro's primary research focus is Music Composition with a strong emphasis on Electronic Music. His specific interests include electronic music composition, laptop orchestras, live-electronics, acousmatic music, and sampling & musical borrowing. He also explores secondary interests spanning theater, dance, linguistics, speech, radio art, Linux, intellectual (im)property issues, and the intersection of music & politics. His work demonstrates a consistent exploration of how technology transforms musical creation and performance. Ruviaro's scholarly output reveals a strong trajectory in electronic and computer music composition, with particular attention to laptop orchestras and musical borrowing practices. His recent works like Pós-Tudos and Mozart and the Elections demonstrate his continued innovation in contemporary composition, while publications such as From Schaeffer to* lorks and Intellectual Improperty reveal his theoretical engagement with the evolving nature of musical instruments and copyright in digital contexts. His compositions frequently incorporate technology in innovative performance setups, as seen in works utilizing smartphones and unconventional sound production methods. Ruviaro is the director of SCLOrk (Santa Clara Laptop Orchestra), continuing a tradition from his time at Stanford where he was part of SLOrk (Stanford Laptop Orchestra). He teaches courses including Intro to Electronic Music (MUSC 9), SCLOrk - Santa Clara Laptop Orchestra (MUSC 157), Music Theory III (MUSC 3), Experimental Sound Design (MUSC 115), Form and Analysis (MUSC 113), and Beginning Composition (MUSC 37), along with private composition lessons. His educational contributions include A Gentle Introduction to SuperCollider , making complex music programming more accessible to students.
Douglas C. Orzolek is Professor and Department Chair at the University of St. Thomas, where he directs the Graduate Programs in Music Education and serves as Symphonic Band Director. His academic affiliations include the College of Liberal Arts and the Music Department. He holds a Bachelor of Music from Mansfield University, Master of Education from Penn State University, and PhD from the University of Minnesota. His research explores music education methodologies, conducting pedagogy, assessment frameworks, and musical acoustics. Current investigations focus on innovative teaching strategies, ensemble pedagogy, and curriculum development in music education. Recent publications demonstrate strong trends in pedagogical innovation, educational equity, collaborative learning models, and the integration of technology in music education. His scholarly work frequently addresses teacher development, curriculum reform, and inclusive practices. Minnesota Music Educators Association Hall of Fame (2014) Thomas Jefferson High School Fine Arts Hall of Fame (2016) Mansfield University Distinguished Young Alumni Award (2001) Distinguished Educator of the Year (2003) Dr. Orzolek advises graduate students at both master's and doctoral levels, supervising research papers and theses. He maintains active involvement with the Playful Learning Lab and OKGO Sandbox as music education advisor.
Professor Stephanie Pitts is a Professor of Music Education and Director of the Sheffield Performer and Audience Research Centre (SPARC) at the University of Sheffield. She holds a BA, MEd, PhD, PGCE, and is a Fellow of the Higher Education Academy. Her work focuses on musical participation, concert audiences, and qualitative research methods. She leads the AHRC-funded 'Understanding Audiences for the Contemporary Arts' project, exploring engagement across UK cities. Pitts also investigates lifelong musical engagement, music education impacts, and lapsed participation. She has supervised numerous PhD students, many securing academic roles. Education: BA, MEd, PhD, PGCE Affiliations: SPARC, AHRC-funded projects, collaborations with Music in the Round, Birmingham Contemporary Music Group, and Sheffield Music Hub Her research spans audience behavior, music education policy, and the cultural value of arts engagement. Notable studies include 'Valuing Musical Participation' (2005) and 'Chances and Choices' (2012). Awards include the Senate Teaching Excellence Award and FHEA. Teaching includes modules on music education, community engagement, and music psychology. She directs the MA Music Psychology in Education, Performance and Wellbeing. Current projects examine leisure-time music groups' societal impacts and pandemic resilience in creative freelancers. Key Grants: AHRC grants totaling £500k+, including 'Understanding Audiences' (2017), 'Cultural Value' (2013), and 'Music, Place and People' (2013) Professional Roles: Honorary Professor at University of Queensland, editorial board member for multiple journals, and advisor to Ireland's Music Generation project SPARC serves as a hub for interdisciplinary research on performers and audiences, bridging academia and arts practice.
Riccardo Simionato is a Research Fellow in the Department of Musicology at the University of Oslo (UiO), affiliated with the Faculty of Humanities. He holds a MSc and BSc in Computer Science and Information Engineering from the University of Padova, Italy, and conducted research at Aalto University, Finland (2017–2018). His research focuses on nonlinear audio modeling using deep learning, particularly addressing low-latency interactive solutions for acoustic and electronic musical instruments/devices. Education: 2018: MSc in Computer Science Engineering, University of Padova 2015: BSc in Information Engineering, University of Padova Research Interests: Deep Learning , Audio Modeling , and Sound Synthesis . He explores how deep learning can approximate complex nonlinear phenomena in audio systems, balancing computational efficiency with interpretability. Recent work emphasizes hybrid neural-audio effects, time-variant systems, and physics-informed methods for piano modeling. Publications highlight advancements in optical compressor modeling, piano analysis, and tools for generating audio effect datasets. His work bridges machine learning and music technology, aiming for practical applications in real-time audio processing and electronic instrument emulation. Grants and advising: No specific grants or student advisees listed in the provided text. Collaborations include projects with Prof. Stefano Fasciani and teams at UiO’s Department of Musicology. Labs/Teams: Active within UiO’s Sound and Music Computing research group, focusing on interdisciplinary projects combining computer science and music technology.
Andrew McPherson is a Professor of Musical Interaction at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science and the Centre for Multimodal AI. He leads the Augmented Instruments Laboratory, a research team focused on music technology and interdisciplinary collaboration. His work bridges electrical engineering, composition, and human-computer interaction, emphasizing the creation of new tools for musicians through hardware/software interfaces and expressive performance modeling. McPherson's research interests include augmented instruments, digital signal processing, and the design of intuitive musical interfaces. He has pioneered projects like the Bela embedded platform and the Magnetic Resonator Piano, emphasizing practical applications in traditional and experimental music venues. Collaborations with artists and industry inform his approach, ensuring research outputs are artistically relevant and accessible. Education & Expertise: Trained in electrical engineering and composition, McPherson combines technical proficiency with artistic sensibility. His lab’s projects, such as the TouchKeys and hackable instruments, highlight his focus on democratizing music technology. Grants & Awards: He holds a Royal Academy of Engineering Senior Research Fellowship (2021–2026) and an ERC Consolidator Grant (2023–2027). He co-leads the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, fostering future researchers in AI-driven music innovation. Labs/Teams: The Augmented Instruments Lab collaborates across disciplines, with dual affiliation at Queen Mary and Imperial College London’s Dyson School of Design Engineering. The lab’s work spans from foundational research to industry partnerships, including spinout company Augmented Instruments Ltd, which supports maker communities and industry consultancy.
