جست‌وجوی استاد و پژوهشگر

Olle Gällmoمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• Artificial Neural Networks
• +۲ مورد دیگر

Olle Gällmo is a Lecturer at Uppsala University's Department of Information Technology; Division of Computer Systems. He teaches advanced-level courses in Machine Learning and Artificial Intelligence, including guest lectures on AI in computer games. He serves as a student advisor for the bachelor programme in computer science and handles course prerequisites for the IT department. Teaches: Machine Learning, Artificial Intelligence Research: Natural computation methods (Artificial Neural Networks, Reinforcement Learning, Particle Swarm Optimization) Student Advisor: Computer Science bachelor programme (DVk) Bagpipe Expertise: Olle is a renowned figure in the revival of Swedish bagpipes. He contributes to the field as a performer, educator, and researcher, publishing works on instrument design, synthetic reeds, and historical evolution of the Swedish bagpipe tradition. Scientific Awards: No awards mentioned. Publications: Olle has authored 3 key works on Swedish bagpipes, focusing on their history, construction, and revival. His research spans synthetic reeds (2015), evolutionary history (2013), and traditional music documentation (1999).

• Human-Centred Computing
• Educational Technology
• Multimodal Learning Analytics
• +۴ مورد دیگر

Viktor Holm-Janas is a Research Fellow at the Department of Computer Science (DIKU), University of Copenhagen, affiliated with the Human-Centred Computing section. His work bridges computational technology with human activities and well-being, focusing on educational settings and user interaction. Research Interests: Viktor investigates multimodal learning analytics, quantitative ethnography, and didactic theory applications in technology-enhanced education. He explores how human observations, data visualization, and interface design can support collaborative learning and physics education. Publications: His recent articles address topics like holographic analysis of classroom sound, active learning observation networks, and physics education tools. These contributions span journals such as Postdigital Science and Education and eLife , with a focus on educational technology and data-driven insights. Labs and Collaborations: Viktor collaborates within the Human-Centred Computing section, which emphasizes inclusive and innovative research environments. He contributes to projects like SAStutorials.org, advancing scientific data analysis tools.

Anna-Kaisa Kailaمشاهده پروفایل

پژوهشگر

• socio-political effects of technology on creative and cultural sectors
• ethics and aesthetics of creative-AI
• copyright applied to art
• +۱۰ مورد دیگر

Anna-Kaisa Kaila is a Doctoral student and Researcher at KTH Royal Institute of Technology working within the Division of Media Technology and Interaction Design. She holds dual expertise as a musicologist (MA) and economist (M. Sc. Econ.), specializing in arts, communications, and intellectual property. Her interdisciplinary PhD project, part of the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society, examines artificial intelligence's social, ethical, and legal implications on artist communities. Dr. Kaila's research spans several interconnected domains: Socio-political effects of technology on creative and cultural sectors Ethics and aesthetics of creative-AI systems Copyright frameworks applied to AI-generated art Shifting narratives of creativity in the AI era Music semiotics and psychology regarding listeners' visual imagery She has developed innovative methodological tools including the Ethically Aligned Stakeholder Elicitation (EASE) framework for ethical analysis in music AI applications. Her work engages directly with artists using AI in creative work and provides critical analyses from humanist, social science, and legal perspectives. Her recent publications reveal significant tensions around environmental sustainability, data colonialism, and evolving notions of artistic authorship. Dr. Kaila actively contributes to academic discourse through: Teaching courses including Degree Project in Media Technology, Human Perception for Information Technology, and Machine Learning for Media Technology Supervising Bachelor and Master's thesis projects on creative-AI, AI-music, arts and media, and AI ethics Organizing influential workshops such as 'Fictional Abstracts: Ethics, Sustainability, and Creative-AI Futures' at ICCC '23 Moderating panel discussions on AI and Music at venues like the Museum of Artificial Intelligence in Stockholm Contributing to media discussions, including features in Opus Magasin, a prominent classical music magazine

• Neuroscience
• Behavioral Neuroscience
• Developmental Biology
• +۳ مورد دیگر

Stephanie Josephine Eder is a researcher affiliated with the Faculty of Life Sciences, Department of Neuroscience and Developmental Biology. Holding BSc and MSc degrees, her work spans interdisciplinary research at the intersection of neuroscience, psychology, and computational modeling. Education: BSc, MSc in Life Sciences disciplines Her research focuses on behavioral and physiological responses to stimuli, including fear responses, motor command modulation in confined environments, and nonconscious processing in auditory tasks. She also investigates evolutionary behavioral strategies in C. elegans and transcriptional regulation in neurodevelopment. Recent projects include the ÖAW-Doc-Stipendium (2024-2026) on modulation of distributed motor commands. She has published 10 peer-reviewed articles, including datasets (e.g., SpiderPhy) and gene regulatory studies (e.g., ONECUT3). Her work contributes to the UN Sustainable Development Goals through psychological and physiological insights. Scientific Awards: Out of the Box Award 2022 Eder has presented at conferences including Science to Science poster sessions on motor responses (2024), C. elegans behavior (2023), and consumer psychology (2019). Her collaborations span neuroscience, computer science, and molecular biology domains.

• Video Game Studies
• Animation Studies
• Media History
• +۳ مورد دیگر

Claudius Stemmler is an academic researcher at the Institute of Media Studies, Faculty of Philosophy, University of Tübingen, where he works as part of the AniVision project since February 2023. His research focuses on the intersection of media, video games, and artificial intelligence, with a particular interest in the works of Hideo Kojima and the evolution of game narratives. His educational background includes: Bachelor's studies in Film and Economics at the University of Mainz Master's degree in Media Studies from the University of Siegen Currently pursuing a PhD dissertation on Japanese video game designer Hideo Kojima Stemmler's research interests span Video Game Studies, Animation Studies, Media History, Artificial Intelligence in Media, Adaptation Studies, and Cultural Studies. He explores how video games adapt from other media, the evolution of game design over time, and the cultural implications of AI in gaming. His work often combines historical analysis with contemporary media theory to uncover patterns in media evolution. His recent publications reveal a strong trend in analyzing video game series and their adaptations, with a growing focus on artificial intelligence's role in animation and gaming. The articles demonstrate interdisciplinary approaches, merging computer vision techniques with media studies to examine hybrid compositions in animation, while also delving into the historical and cultural contexts of franchises like Metal Gear Solid and Planet of the Apes. Scientific recognition includes: Scholarship from the House of Young Talents at the University of Siegen for his doctoral research As a doctoral researcher, Stemmler is actively engaged in the AniVision project, which investigates animation film through computational methods. He has not yet supervised students but contributes to collaborative research efforts within the Institute of Media Studies. His current grant support comes from the House of Young Talents scholarship. Stemmler works within the AniVision project team at the Institute of Media Studies, collaborating with researchers across disciplines to apply weakly supervised learning techniques to animation film analysis. This project represents a cutting-edge fusion of media studies and artificial intelligence research.

Stefan Balkeمشاهده پروفایل

پژوهشگر

• Music Information Retrieval
• Deep Learning
• Jazz Music Analysis
• +۳ مورد دیگر

Stefan Balke is a Researcher at the AudioLabs Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), focusing on wind music research and Music Information Retrieval (MIR). Previously, he held a PostDoc position at the Institute of Computational Perception, JKU Linz (2018–2019) and later worked as a Data Scientist and Team Lead in industry. He temporarily served as a professor at Hochschule Weserbergland in 2023/24. Education: PhD (Dr.-Ing.) in MIR from FAU (2018), Electrical Engineering studies at Leibniz Universität Hannover (2008–2013). Research Interests: Music Information Retrieval, Deep Learning, Jazz and Wind Music Analysis, Dataset Development. His work includes creating datasets like ChoraleBricks (wind music) and JSD (jazz structure analysis), and tools like trackswitch.js for audio visualization. Grants & Projects: Secured 35k€ funding for his orchestra through the 'Engagiertes Land' program (2024). Collaborated on exhibits such as 'The Listening Machine' (Ars Electronica) and 'Con Espressione!' (mathematics of music exhibition). Contributions: Active on GitHub with repositories for datasets (choralebricks, jsd) and tools. Co-developed web-based audio tools and contributed to open-source projects like Sonic Visualiser and librosa.

• Management Pedagogy
• Project Management
• Complexity Theory
• +۳ مورد دیگر

Professor Vikki Locke is a Professor of Teaching Practice in the Management Science and Operations Group at Loughborough University. She specializes in online and classroom pedagogies, project management, and the application of hologram technology in teaching and research. Previously, she held roles including Assistant Dean for Blended Learning at Warwick Business School and Associate Professor in Operations. Her career spans over three decades across sectors and countries, from preschool to postdoctoral education. Education: BA (Hons) in Music and Related Arts (Chichester), MEd in Education (Exeter), PhD in Management (Leicester). She is a Senior Fellow of the Higher Education Academy (SFHEA). Research interests include management pedagogy, complexity theory, and project management methodologies. Her work emphasizes innovative educational technologies and organizational systems analysis. Publications span project cost prediction, student feedback strategies, and qualitative research methods. Advising and grants: No specific advisees or grant details listed, though her roles involve curricular design and large-scale educational projects. She is actively involved in the Management Science and Operations research group.

Bassam Shaerمشاهده پروفایل

استاد

• Embedded System Design
• VLSI Design and Test
• Digital Signal Processing
• +۵ مورد دیگر

Dr. Bassam Shaer is a Professor in the Department of Electrical and Computer Engineering at the University of West Florida (UWF), affiliated with the Hal Marcus College of Science and Engineering. He has over 20 years of experience in academia, with a focus on embedded systems, VLSI design, and distance learning methodologies. Shaer earned his Ph.D. and M.S. in Electrical Engineering from the University of South Florida and a B.S. from the University of Florida. Educational Background: Ph.D. in Electrical Engineering, University of South Florida (Tampa, FL) M.S. in Electrical Engineering, University of South Florida (Tampa, FL) B.S. in Electrical Engineering, University of Florida (Gainesville, FL) Research Interests: Dr. Shaer's work spans embedded system design , VLSI testing and partitioning , analog/digital electronics , and distance-learning laboratory development . His innovations include energy conservation systems, robotic ball collection mechanisms, and intelligent tracking telescopes. He emphasizes practical applications of microcontrollers and FPGA-based solutions. Teaching: Shaer teaches courses such as Electronic Circuits , VLSI , Digital Computer Architecture , and Microprocessor Applications , integrating hands-on lab experiences. He has developed interactive distance-learning systems to enhance accessibility in engineering education. Professional Contributions: He has reviewed over 10 academic journals and contributed to projects like solar array positioning systems and LabVIEW-based plotter controls. His research often bridges theoretical engineering principles with real-world applications in robotics, renewable energy, and automated systems. Labs/Teams: He collaborates with initiatives like the Science Olympiad and Science Showcase , promoting interdisciplinary engineering education and innovation.

Pedro Pablo Lucas Bravoمشاهده پروفایل

پژوهشگر ارشد

• Music Technology
• Robotics
• Artificial Intelligence
• +۵ مورد دیگر

Pedro Pablo Lucas Bravo is a Doctoral Research Fellow at the University of Oslo's Department of Informatics (IFI), affiliated with the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion within the Faculty of Mathematics and Natural Sciences. His research focuses on developing interactive music systems using autonomous agents and swarm intelligence, with applications in Extended Reality (XR), Spatial Audio, and robotics. His Ph.D. project explores automatic tempo synchronization in human-machine systems through swarms of autonomous agents, aiming to create emergent musical behaviors in virtual, physical-virtual, and physical platforms. Key technologies include XR, spatial audio synthesis, motion capture, and robotic platforms. Bravo has contributed to projects like the XR Human-Swarm Interactive Music System and the MusicLab Copenhagen Dataset. His work bridges computer science, music technology, and artificial intelligence, with publications in venues such as IEEE ACSOS, NIME, and SMC. He holds a focus on interdisciplinary collaboration, leveraging swarmalator systems for self-organizing compositions and exploring cross-disciplinary applications of embodied oscillators in music performance.

Ståle Andreas van Dorp Skogstadمشاهده پروفایل

دانشیار

• Robotics
• Signal Processing
• Music Technology
• +۳ مورد دیگر

Ståle Andreas van Dorp Skogstad is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems. His research focuses on signal processing, real-time systems, motion capture technologies, and their applications in music interaction and robotics. Key projects include developing systems like Dance Jockey and SoundSaber, which leverage motion capture for musical expression. He has contributed to optimizing digital filters for real-time applications and comparing motion capture technologies across diverse platforms. His work spans interdisciplinary areas such as robotics, computer science, and music technology. Notable publications address topics like IIR filter design, noise analysis in motion capture systems, and classification of music-related actions. Skogstad collaborates extensively with colleagues in informatics and musicology, advancing the integration of sensor technologies with artistic and technical domains. Lab affiliations include the Robotics and Intelligent Systems (ROBIN) group, where he explores cutting-edge solutions in human-computer interaction and sensor-driven applications.

• Digital Musical Instruments
• Artificial Intelligence in Music
• Live Coding
• +۷ مورد دیگر

Thor Magnusson is a Professor of Future Music at the University of Sussex, affiliated with the School of Media, Arts and Humanities and the Department of Music. He is also a Research Professor at the Iceland University of the Arts as part of the ERC-funded Intelligent Instruments project. His work bridges music technology, AI, and live coding, focusing on how digital tools shape musical creativity, performance, and education. Key projects include the MIMIC initiative (machine learning for creative coding) and the Sonic Writing monograph, exploring the philosophical underpinnings of musical technologies. Research interests span AI-driven instruments, generative systems, live coding environments, and the cognitive science of music. He leads the Experimental Music Technologies Lab and the Intelligent Instruments Lab, collaborating internationally on conferences like NIME and ICMC. Magnusson has pioneered live coding languages (e.g., ixi lang) and developed tools like Sema for machine learning integration in music. His awards include the Edgard-Varèse Guest Professorship and grants from AHRC and ERC. He actively contributes to editorial boards and organizes events such as the Live Interfaces Conference. Professional activities emphasize bridging academic research with artistic practice, reflected in performances at festivals like Ars Electronica and Transmediale.

Amrit Pal Kaurمشاهده پروفایل

پژوهشگر ارشد

• Smart Grid Technology
• Electric Vehicle Charging Systems
• IoT Applications
• +۳ مورد دیگر

Dr. Amrit Pal Kaur is a Research Fellow at the University of Surrey, affiliated with the School of Computer Science and Electronic Engineering and the Advanced Technology Institute. Her research focuses on smart grid technology, electric vehicle integration, IoT applications, and renewable energy systems. She holds a PhD in Electrical and Instrumentation Engineering. Her work spans energy management, V2G systems, and sensor networks. She contributes to advancements in demand-side management and grid optimization. Research Interests: Electric vehicle charging infrastructure and V2G integration IoT-enabled smart metering solutions Optimization of energy systems using machine learning techniques Renewable energy management and tariff modeling Articles Trends: Recent publications emphasize IoT-based net metering for V2G applications and demand-side management strategies. Earlier work explored robotics (SLAM) and music classification via machine learning. Awards: No awards mentioned. Advising & Grants: No details provided on students, grants, or team projects. Labs/Teams: Active within the Advanced Technology Institute and School of Computer Science and Electronic Engineering.

Gabriel Bibbóمشاهده پروفایل

پژوهشگر ارشد

• Audio Signal Processing
• Sound Event Detection
• Embedded AI
• +۴ مورد دیگر

Gabriel Bibbó is a Research Fellow in Sound Sensing at the University of Surrey's CVSSP, part of the Faculty of Engineering and Physical Sciences. He holds a BSc in Electrical Engineering from Universidad de la República (Uruguay) and an MSc in Sound & Music Computing from Universitat Pompeu Fabra (Spain). His research focuses on audio signal processing, embedded AI systems, and ethical AI applications in sound environments. Prior to academia, Gabriel worked in industry roles including R&D Engineer at Ikatu/Bang & Olufsen, Technical Support Engineer at Google, and IT Auditor at KPMG. His practical engineering background combines with DJ experience to inform his work on sound event detection, real-time AI tools, and sustainable AI model compression. Key research areas include developing real-time sound recognition systems (e.g., PiSoundSensing device), creating residential audio datasets (Sounds of Home), and exploring AI-driven workplace soundscapes. His work emphasizes real-world deployment challenges on embedded hardware like Raspberry Pi, addressing thermal management and microphone quality issues. Bibbó collaborates on EPSRC-funded 'AI for Sound' projects and supervises postgraduate students like Sam Watts. His future directions include interactive music generation and AI ethics in sound technologies.

Hari Bharadwajمشاهده پروفایل

استادیار

• Auditory Neuroscience
• Sensorineural Hearing Loss
• Cochlear Implants
• +۶ مورد دیگر

Hari Bharadwaj is an Assistant Professor in the Department of Communication Science and Disorders at the University of Pittsburgh. He directs the Systems Neuroscience of Auditory Perception Lab (SNAPlab), focusing on understanding how auditory systems process sound in complex environments. His research integrates clinical audiology, neuroscience, and engineering to improve diagnostics and assistive technologies like hearing aids and cochlear implants. Dr. Bharadwaj holds a PhD in Biomedical Engineering from Boston University, with earlier training in Electrical and Biomedical Engineering at the University of Michigan and Indian Institute of Technology Madras. His work spans auditory neuroscience, sensorineural hearing loss mechanisms, and neuroplasticity. Key contributions include identifying cochlear neural damage in 'normal hearing' individuals and developing web-based hearing screening tools. He has secured funding from NIH, NSF, Department of Defense, and Hearing Health Foundation. Dr. Bharadwaj emphasizes interdisciplinary training, mentoring students from audiology, engineering, psychology, and neuroscience backgrounds. Notable achievements include the 2018 Early Career Research Award from ASHA and multiple teaching awards from Purdue University (2018-2019). He serves as Associate Editor for the Journal of the Acoustical Society of America. Current research explores precision diagnostics for hearing loss and neural coding deficits in autism spectrum disorders.

Lee Spectorمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Artificial Life
• Computational Problem-Solving
• +۸ مورد دیگر

Lee Spector is an Adjunct Professor in the Department of Computer Science at the University of Massachusetts Amherst and a Professor of Computer Science at Amherst College. He holds the MacArthur Chair at Hampshire College and has served as Dean of the School of Cognitive Science and on the Board of Trustees. His research focuses on artificial intelligence, evolutionary computation, and their intersections with cognitive science, physics, and the arts. Notable contributions include work on genetic programming, lexicase selection, and quantum computing algorithms. He has received prestigious awards such as the NSF Director's Award for Distinguished Teaching Scholars and two gold medals in the GECCO Human Competitive Results competition. His editorial roles include Editor-in-Chief of Genetic Programming and Evolvable Machines and associate editorships at ACM journals. Spector's grants include NSF and DARPA funding for projects like robust artificial system synthesis and computational creativity curricula. Education: Ph.D. in Computer Science, University of Maryland, College Park (1992); B.A. in Philosophy, Oberlin College (1984). Research spans evolutionary algorithms, artificial life, and interdisciplinary applications in music, art, and social science. His lab, The PUSH Lab, explores autoconstructive evolution and modular program synthesis. Recent work includes advancements in lexicase selection, quantum circuit optimization, and human-machine collaboration in innovation. Key contributions include the Push programming language for evolutionary processes and the lexicase selection algorithm. He directs initiatives like the Artificial Intelligence in the Liberal Arts program, emphasizing computational creativity across disciplines. Spector's publications span journals like Evolutionary Computation , Genetic Programming and Evolvable Machines , and Artificial Life , with over 100 peer-reviewed articles and two books.