Karl Oluf Wennerberg is a Professor in the Department of Rhythmic Music at the University of Agder, where he has served as a part-time teacher since 2011. He teaches drums, laptop instrumentation, band rehearsal, and rhythmic ear training. Born February 14, 1972, in Vennesla, Norway Studied music at the Agder Music Conservatory and the Norwegian Academy of Music (NMH) in Oslo His research focuses on popular music performance, emphasizing drum techniques, electronic music integration, and audience interaction. Wennerberg's recent activities include collaborative recordings and international concerts, reflecting his expertise in rhythmic composition and live performance dynamics. Key trends in his 2024–2025 publications include album production, tour coordination, and interdisciplinary collaborations with artists like YLVIS, Magne Furuholmen, and former Spellemann winners. His work bridges academic instruction with real-world performance practices.
Josef Ström Bartunek serves as a Senior Lecturer in the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden, where his research centers on systems engineering with specialized focus in biometric image analysis and computer vision. Education PhD in Systems Engineering, Blekinge Institute of Technology (2016) - Dissertation: FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION Research Focus Dr. Bartunek's work spans biometrics (fingerprint/iris recognition), forensic image analysis, and industrial computer vision. His fingerprint enhancement algorithms address noise reduction and feature extraction challenges, while recent research extends to surface topography analysis in manufacturing quality control. The VISIR open lab platform publications demonstrate his secondary interest in remote engineering education technologies. Publication Trends His 15 most recent publications (2004-2020) reveal an evolution from core biometric algorithm development (2004-2013) toward industrial applications (2016-2020). Early work centered on fingerprint minutiae extraction and neural network applications, while post-2016 research increasingly addresses forensic image resolution and manufacturing process monitoring through camera-based systems. Scientific Awards No scientific awards or fellowships were documented in the available sources. Advising and Grants No information regarding graduate student supervision, research grants, or funded projects was provided in institutional records. Laboratory Affiliations No specific laboratory teams or research groups were mentioned in the current affiliation details.
Garth Paine is a Professor of Digital Sound and Interactive Media in the School of Arts, Media and Engineering and Professor of Composition in the School of Music, Dance and Theatre at Arizona State University. He is also affiliated with the Center for Biodiversity Outcomes, Humanities for the Environment Global Network, and serves as a Senior Global Futures Scientist with the Julie Ann Wrigley Global Futures Laboratory. Dr. Paine earned his Ph.D. from RMIT University in Melbourne, Australia in 2003, with a dissertation titled "Unencumbered Human Movement in Interactive Immersive Environments." He also holds a Graduate Certificate in IT (Software Engineering) from Swinburne University of Technology (2002) and a Bachelor of Music in Performance (Flute) from the Conservatorium of Tasmania, University of Tasmania (1985). Professor Paine's research centers on acoustic ecology and the exploration of sound as our lived context, including the application of VR in health. He crosses art-science boundaries with his community-embedded work on environmental listening and creative place-making. His passion for sound as an exhibitable object has given rise to interactive environments where the sonic landscape is generated through gesture, presence, and behavior. He co-directs the Acoustic Ecology Lab (AELab@ASU) with Professor Sabine Feisst, which he established in 2016. His current research includes the Listen(n) Project, an acoustic ecology initiative focusing on field recording and community building. Dr. Paine's work spans from composing musical works from field recordings to developing interactive environments using real-time video tracking and bio-sensing. Dr. Paine's publications and creative works demonstrate a consistent focus on the intersection of sound, technology, and environmental awareness. His research spans acoustic ecology, interactive performance systems, new musical instrument design, and environmental sound studies. A recurring theme across his work is the exploration of how sound can create meaningful connections between humans and their environments, particularly through innovative technological approaches. His "Future Perfect" project explores the seam between virtual reality as a documentation format for environmental research and the notion that 'nature' as we know it may only exist in virtual reality archives. Among his notable achievements are: Green Room Award for Outstanding Creativity, for Escape Velocity (Company in Space) Finalist for the Best new Musical Score for Dance, 2014 Keynote speaker at NIME2016 (International Conference on New Interfaces for Musical Expression) Editorial Board Member, Organised Sound Journal, Cambridge University Press Professor Paine has directed significant research projects including the Taxonomy of Interfaces/Instruments for Electronic Music performance (TIEM) with McGill University and the Electronic Music Foundation, resulting in an online database of current practice. He has also served as interim-director (2012-13) and associate director (2013-14) of the School of Arts, Media and Engineering, and as undergraduate chair for the Digital Culture program (2011-2014). His artistic research residency at IRCAM (Centre Pompidou) in Paris focused on developing interactive crowd mapping using smart phone beacons and interactive spatialization techniques for his "Future Perfect" project. At Arizona State University, Dr. Paine co-directs the Acoustic Ecology Lab (AELab@ASU), which focuses on community-based acoustic ecology projects, field recording, and environmental sound studies. The lab serves as a hub for interdisciplinary research connecting music, environmental science, and digital media. His work has been performed internationally across Australia, Europe, Japan, USA, South America, Hong Kong, New Zealand, Korea, Macedonia, and the UK, demonstrating the global impact of his research and artistic practice.
Dr. Eng. Grzegorz Pędrak is a Lecturer at the Department of Automation and Computer Science within the Faculty of Electrical and Computer Engineering at Cracow University of Technology . His research focuses on pseudorandom number generation, signal processing, analog-to-digital conversion, and stochastic systems. He has actively contributed to publications in these areas since the early 2000s. Keywords: Pseudorandom Number Generation, Signal Processing, Analog-to-Digital Conversion, Stochastic Systems, Monte Carlo Methods Recent work includes wireless monitoring systems and automated control solutions for agricultural applications. While formal scientific awards aren't listed, his publications demonstrate expertise in converting analog signals, RNG algorithms, and stochastic converter design. His research often involves interdisciplinary methods like Monte Carlo simulations and hardware implementation of random number generators.
Giovanni Del Galdo is a full Professor at the Technische Universität Ilmenau, where he leads the Electronic Measurement Technology and Signal Processing (EMS) group within the Faculty of Electrical Engineering and Information Technology. He also maintains an affiliation with the Fraunhofer Institute for Integrated Circuits IIS. Since 2012, he has directed a research group comprising both a Fraunhofer department and a university chair, which expanded to approximately 60 staff members following a 2016 merger with another research group. Del Galdo received his Laurea degree in Telecommunications Engineering from Politecnico di Milano in 2002 and his Dr.-Ing. from TU Ilmenau in 2007 under Prof. Martin Haardt, with a dissertation titled "Geometry-based Channel Modeling for Multi-User MIMO Systems and Applications." Prior to his current position, he worked as a Senior Scientist at Fraunhofer IIS and was a member of the International Audio Laboratories Erlangen, where he focused on audio watermarking and spatial sound representation. His research spans multidimensional signal processing, wireless communications, and advanced measurement techniques. He specializes in channel modeling, MIMO systems, Over-The-Air testing, and high-resolution parameter estimation methods including compressed sensing. His work addresses challenges from sub-THz frequencies to practical industrial applications. Analysis of his recent publications reveals strong focus on wireless channel characterization, particularly for 5G/6G and V2X applications. His research integrates theoretical signal processing with practical measurement systems, often developing novel hardware implementations for real-world testing scenarios. Key application areas include automotive communications, industrial measurement systems, and next-generation wireless technologies. Del Galdo actively supervises numerous research projects and has extensive experience with laboratory testbed development for wireless systems validation. His group maintains advanced facilities for channel sounding, OTA testing, and signal processing algorithm development, supporting both academic research and industry collaboration.
Oliver Amft serves as Professor of Intelligent Embedded Systems at the University of Freiburg and executive board member of the Hahn-Schickard research center, focusing on the convergence of embedded systems and healthcare applications. His academic foundation includes a Dipl.-Ing. (M.Sc.) in Electrical Engineering and Information Technology from Chemnitz Technical University (1999) and a Dr. sc. ETH (Ph.D.) from ETH Zurich (2008). Professor Amft's research pioneers intelligent wearable systems for continuous health monitoring, with core expertise in biomedical signal processing and AI-driven sensor analytics . His work addresses critical healthcare challenges through innovations in gastrointestinal monitoring via bowel sound analysis, dietary assessment using smart eyewear, and rehabilitation-focused motion tracking with inertial sensors. Methodologically, he specializes in unsupervised machine learning for real-time data stream processing in resource-constrained embedded environments. Analysis of his 2021-2023 publications reveals a strategic emphasis on edge AI for medical diagnostics , particularly in developing context-aware wearable systems that operate independently of cloud infrastructure. Key thematic clusters include gastrointestinal health monitoring (bowel sound analysis), behavioral nutrition science (eating detection), and biomechanical rehabilitation (joint angle estimation), consistently leveraging multi-sensor fusion and lightweight deep learning models. As an active academic contributor, Amft serves as Associate Editor for Frontiers in Computer Science specializing in Mobile and Ubiquitous Computing, shaping discourse in wearable/IoT systems design. His research ecosystem integrates the University of Freiburg's academic resources with Hahn-Schickard's engineering capabilities, facilitating translational development from laboratory prototypes to clinically viable embedded health technologies through cross-institutional collaboration.
Daniel Lemire is a full professor of computer science at the Université du Québec (TELUQ), recognized as one of the top 2% most cited scientists globally according to Stanford University's 2024 rankings. He ranks among the 0.0006% most followed programmers on GitHub, with his work adopted by major technology companies including Google, Facebook, Intel, and Shopify. Education: Ph.D. in Engineering Mathematics (University of Montreal and Polytechnique Montréal), Master's in Mathematics (University of Toronto), Bachelor's in Mathematics with High Distinction (University of Toronto) Current Role: Editor of Software: Practice and Experience journal since 2020 Professional Recognition: Co-chair of NSERC's Computer Science Discovery Grants Committee (2020-2021) Professor Lemire's research focuses on software performance optimization and data indexing techniques. His work bridges theoretical computer science with practical applications, particularly in areas where performance bottlenecks exist in real-world systems. He specializes in leveraging hardware capabilities through vectorization (SIMD instructions) to dramatically improve processing speeds for fundamental operations that have remained inefficient for decades. His approach combines deep theoretical understanding with practical implementation, resulting in algorithms that are both mathematically sound and immediately applicable in production systems. Lemire's research portfolio demonstrates a consistent pattern of identifying critical performance bottlenecks in widely used software operations and developing innovative solutions that achieve order-of-magnitude improvements. His work spans multiple domains including JSON parsing, Unicode string processing, URL parsing, base64 encoding, and bitmap indexing. A common thread through his publications is the application of hardware-specific optimizations, particularly SIMD instructions, to accelerate operations that were previously considered near-optimal. His research has evolved from foundational algorithm development to influencing major software ecosystems, with his libraries becoming integral components of industry-standard tools. Among the 2% most cited scientists globally (Stanford University, 2024) Université du Québec's Prix d'excellence 2020 for research success Most read articles at Software: Practice and Experience (2024, 2025) Best voted talk at QCon San Francisco 2019 Editor of Software: Practice and Experience journal since 2020 Numerous citations in patents held by Microsoft, LinkedIn, Oracle, and Fujitsu Professor Lemire maintains an active research group that has graduated numerous PhD students, many of whom now hold key positions at leading technology companies. He offers automatic scholarships for all students making progress on M.Sc. theses and Ph.D. programs in his lab, with tuition waivers for international Ph.D. students. His laboratory is equipped with a diverse server farm featuring multiple processor architectures (Intel Xeon, Core i7, Xeon Phi, POWER9, ARMv8) specifically designed for software performance experiments. The lab also explores virtual reality applications in data science. Lemire actively recruits students who are passionate about high-performance programming and open-source development, with special programs for Canadian undergraduate and graduate students through NSERC funding mechanisms.
Annette Krebs serves as a Lecturer at the Central Institute for Continuing Education and Transfer, Berlin University of the Arts. Based in Berlin since 1993, she is recognized as a pioneer in real-time electroacoustic music, specializing in the deconstruction of traditional instruments and the creation of live sonic environments through innovative use of objects, electronics, and improvisation. Her research focuses on electroacoustic composition and sound research through the Konstruktion# series (since 2013), where everyday materials like metal, glass, and paper are transformed into amplified sonic assemblages. She explores intersections with field recordings, video art, and instrumental improvisation, processing sounds in real time via computers, tablets, and sensors to challenge conventional musical boundaries. Krebs has secured grants from the Berlin Senate Department for Culture and Europe, Goethe Institute, and Akademie der Künste. Her work has been presented globally at venues including EMS Elektronmusik Studion (Stockholm), NOTAM (Oslo), and festivals such as Mona Foma (Tasmania) and TonalÁtonal (Mexico City), with releases featured in The Wire and Deutschlandradio Kultur.
Rui Liu is an Associate Professor in the Department of Mechanical Engineering at the Rochester Institute of Technology's Kate Gleason College of Engineering. His research focuses on advanced manufacturing processes with emphasis on tool condition monitoring and machining optimization. Dr. Liu holds a BS from Beijing University of Aeronautics and Astronautics, MS from Northeastern University, and PhD from Georgia Institute of Technology. His educational background spans jet propulsion, vibration analysis, and manufacturing engineering. His research in advanced manufacturing encompasses tool condition monitoring systems using machine learning techniques, machining process optimization, and material behavior modeling during various machining operations. Key areas include developing cost-effective monitoring systems for cutting tools, understanding material behavior through fundamental cutting mechanics, and optimizing cutting conditions to enhance productivity and tool life. Analysis of Dr. Liu's publications reveals strong focus on machining process monitoring through acoustic signals, chip formation dynamics, and physics-based material modeling. His work bridges traditional manufacturing with data-driven approaches, particularly in tool wear monitoring and machining simulation. Scientific recognition includes: National Science Foundation CAREER Award for advanced manufacturing workforce development Dr. Liu actively mentors graduate students and leads the Smart Manufacturing Research Group, which investigates practical manufacturing problems while exploring new research topics with state-of-the-art technologies. His teaching portfolio includes Strength of Materials, Manufacturing Processes, and Materials Science courses. The Smart Manufacturing Research Group maintains specialized facilities including a Gleason Hobbing Machine Force Applicator and Rotating Dynamometer for Cutting Tools, supporting research in machining simulation, tool condition monitoring, tribology, soft material cutting, and gear manufacturing.
Associate Professor Luca Battaglini is affiliated with the University of Padua, where he conducts research in human vision, motion perception, and non-invasive brain stimulation. His work focuses on perceptual learning, synaptic plasticity, and visual illusions in both normal and low-vision populations. He has developed advanced methodologies using the Psychophysics Toolbox and integrates transcranial alternating current stimulation (tACS) to study neural mechanisms underlying visual processing. Key research areas include: Visual perception adaptation in macular degeneration Collinear interactions in contrast perception Applications of tACS in enhancing visual perception Cognitive effects of visual illusions His recent publications (2025-2022) explore: Neural adaptations in low-vision patients Optical architectures for psychophysical tests Temporal and spatial aspects of visual processing Cross-modal interactions between vision and motion Notable contributions include pioneering work on: Visual cortex reorganization in degenerative diseases Electrophysiological correlates of motion perception Development of neuroplasticity-based rehabilitation protocols His research bridges basic neuroscience with clinical applications, particularly in vision restoration for disorders like albinism and macular degeneration.
Anhong Guo is an Assistant Professor in Computer Science & Engineering at the University of Michigan , with a dual affiliation in the School of Information . His research focuses on the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI) , creating systems that empower people (especially those with disabilities) to design and customize technology for their unique needs. NSF CAREER award recipient Forbes 30 Under 30 Scientist Google Research Scholar Snap Inc. Research Fellow His work has been recognized with best paper awards at CHI, UIST, ASSETS, and MobileHCI, as well as the 10-year impact award at ISWC for wearable technologies in warehouse settings. Recent projects include HandProxy (expanding speech interfaces in XR), WorldScribe (context-aware visual descriptions), and A11yShape (3D modeling for blind programmers). Guo's research team has produced significant work in visual question answering , non-visual image editing , and augmented reality collaboration tools . His lab (Human-AI Lab, HAIL) focuses on addressing long-tail accessibility needs through human-AI co-creation.
Volker Stolz is an Associate Professor in the Department of Informatics at the University of Oslo, Faculty of Mathematics and Natural Sciences. He is affiliated with the Reliable Systems research group, where his work centers on improving software reliability through formal methods, model transformation, and UML-based modeling. Institution: University of Oslo School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Research Group: Reliable Systems Contact: stolz@ifi.uio.no | +47 22852438 | Room GA06 9461 His research spans formal verification, concurrency, model-based testing, and programming language semantics. He has made significant contributions to deadlock detection, refactoring equivalence, runtime verification in distributed systems, and data race analysis, often using formal models such as Petri nets and active object languages. The recent publications highlight a consistent focus on software correctness , modular analysis , and automated verification techniques. Trends include the use of behavioral effects, abstract execution, and field calculus for distributed monitoring. His work frequently appears in top-tier venues like Theoretical Computer Science , Lecture Notes in Computer Science , and Journal of Logical and Algebraic Methods in Programming , indicating strong theoretical and practical impact. He collaborates extensively with researchers such as Violet Ka I Pun, Rui Wang, Lars Michael Kristensen, and Martin Steffen, reflecting an active and collaborative research profile. No scientific awards are mentioned in the provided text. There is no information available about student advising or research grants. Volker Stolz is involved in research projects related to model-based testing, formal methods, and reliable software systems, particularly through the Reliable Systems group. His work often involves building theoretical foundations and practical tools for verifying and improving software behavior in distributed and concurrent environments.
Dr. Hasan Abbas is a Senior Lecturer at the University of Glasgow's James Watt School of Engineering, affiliated with the Electronic & Nanoscale Engineering department. He holds a BSc from the University of Engineering and Technology, Lahore (2009) and a PhD from Texas A&M University (2017) under a Fulbright scholarship. Previously, he worked as a lecturer at UET Lahore (2009–2012) and a postdoctoral researcher at Texas A&M Qatar (2018–2019). His research focuses on AI-driven electromagnetic design, real-time microscopy techniques, and sustainable antenna technologies. Research interests include plasmonic microscopy for biological systems, AI-powered antenna design, and energy-efficient THz communication. He leads projects funded by grants and collaborates with industry partners. Abbas serves as Secretary of the IEEE AP/MTT Scotland Chapter and an executive member of the IET Electromagnetics Professional Network. Recent work emphasizes RF sensing for healthcare (e.g., gesture recognition, vital sign monitoring) and terahertz applications in biomedical imaging. His contributions span 99+ publications, including peer-reviewed journals and conferences like EuCAP, IEEE AP-S, and IEEE RadarCon.
Steve Engels is a Teaching Professor in the Department of Computer Science at the University of Toronto. His research focuses on the intersection of artificial intelligence, machine learning, and game design. He holds a PhD in Computer Science, with a thesis on 'Design Factors for Educational Video Games.' Engels collaborates with organizations like Ubisoft La Forge on facial expression generation and works with UofT's Science Unlimited program to develop educational games for high school curricula. His projects include automatic music generation, 3D terrain generation, and augmented reality applications. He has presented at conferences such as AIIDE and the Game Developers Conference, contributing to advancements in interactive digital entertainment and educational technology. PhD in Computer Science (Thesis: Design Factors for Educational Video Games) M.Math from the University of Waterloo, supervised by Dale Schuurmans Research Interests Engels' work spans AI-driven game design, educational technology, and procedural content generation. He explores facial expression synthesis, real-time music algorithms, and accessible gaming for diverse audiences. His collaborations emphasize practical applications of machine learning in creative fields. Advising & Grants Engels mentors student research teams in game design and AI projects, though specific grants or funded initiatives are not detailed in the text. Labs & Teams Collaborates with Ubisoft La Forge, UofT's Science Unlimited, and academic conferences to advance interactive technologies and educational tools.
Dr. Kerry Hagan is an Associate Professor of Composition-Theory at the University of Illinois Urbana-Champaign and concurrently serves as President of the International Computer Music Association (ICMA). She holds degrees from Carnegie Mellon University (BS Electrical Engineering, BFA Music Composition) and UC San Diego (MA/PhD Music). Her work bridges acoustic and electronic media through real-time spatialization, stochastic algorithms, and interdisciplinary collaborations. She co-leads the Higgs whatever ensemble and the Bowers-Hagan Duo, performing globally at festivals like Piksel and ICMC. Previously (2007-2023), she was a Lecturer at the University of Limerick where she founded the Spatialization and Auditory Display Environment (SpADE) lab. Key roles include founding the Irish Sound, Science and Technology Association (ISSTA) as its inaugural President (2010-2015). Research focuses on algorithmic methods for composition, spatial audio techniques, and electronic musicology. Major works include Memento Mori , Transmogrificaciones Incesantes , and Agus í á bá , performed by ensembles like RTÉ National Symphony Orchestra. Recent activities span curating ICMA events, developing IoT-based music systems, and exploring gesture-controlled timbre transformation. Teaching includes graduate-level composition, live coding with Pure Data, and advanced electroacoustic analysis courses. Her work has been featured at SEAMUS, ICMC, and SMC conferences, with publications in Computer Music Journal and Organised Sound . Collaborations span composers like Miller Puckette (co-author of Between the Tracks ) and John Bowers, emphasizing experimental performance formats and networked music systems.
