جست‌وجوی استاد و پژوهشگر

Matthew K. Iyerمشاهده پروفایل

استادیار بالینی

• Bioinformatics
• Computational Biology
• Cancer Research
• +۳ مورد دیگر

Matthew K. Iyer, MD, PhD, is a Clinical Assistant Professor of Surgery and Pathology at the University of Michigan Medical School. He cares for patients at the University of Michigan Hospital and the Ann Arbor VA Healthcare System. His research focuses on computational biology, bioinformatics, and data science to improve cancer care, particularly using high-throughput molecular data like RNA sequencing. He is affiliated with the Rogel Cancer Center and the Center for Computational Medicine and Bioinformatics. Education: BS Electrical and Computer Engineering, University of Colorado Boulder (2003) BA Music, University of Colorado Boulder (2003) MS Electrical Engineering, University of Colorado Boulder (2006) PhD, University of Michigan–Ann Arbor (2016) MD, University of Michigan Medical School (2016) Residency in General Surgery, Weill Cornell Medicine (2021) Fellowships in Complex General Surgical Oncology and HPB Surgery, Duke University Health System (2023) His research emphasizes developing biofluid tests for cancer detection, investigating tumor biology via spatial transcriptomics and single-cell RNA-Seq, and curating large RNA-Seq datasets for cancer research. Recent work includes spatial analysis of pancreatic neoplasms and microbiome studies in pancreatic disease. Publications span spatial transcriptomics of pancreatic tumors, mouse models for liposarcoma, and microbiome assessments. His work bridges clinical care and computational methods to advance oncology.

• Music Technology
• User Experience (UX) Design
• Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Dr. Chris Nash is a Senior Lecturer in Music Technology at the University of the West of England (UWE Bristol), specializing in software development for audio, sound, and music. He leads the computing pathway for BSc(Hons) Music Technology courses and holds a PhD from the University of Cambridge (2011) focusing on systems for music production and creativity. His work bridges academic research and industry practice, emphasizing end-user technologies and real-world applications. Education: BEng (York), MPhil (Trinity College Dublin), PhD (Cambridge). Research interests include music composition, user experience design, HCI, algorithmic music systems, and digital creativity. He collaborates with institutions like Point Blank Music School, Huddersfield University, and industry partners such as Steinberg/Yamaha, BBC, and startups like JukeDeck. His projects include the award-winning reViSiT DAW plugin and Manhattan, a hybrid DAW/music programming language. Notable collaborations and projects include BBC Music Day 2018, where live crowd movements influenced generative music. His technical expertise spans C++, DSP, VR/spatial audio, and MIR (Music Information Retrieval). Labs/Teams: nash.audio (his personal projects) and contributions to the TENOR Network. He actively publishes on generative music, interactive systems, and music education technologies.

GEORGE MEIKLEمشاهده پروفایل

مدرس ارشد

• Electronic/computer music
• Human-computer interaction (HCI) in music
• Music Technology
• +۳ مورد دیگر

Dr. George Meikle is a Senior Lecturer in Music Production at the University of Salford, specializing in electronic/computer music and human-computer interaction (HCI) in music. His work spans generative music systems, interactive digital media, and sound design. He holds a PhD from the University of Salford, focusing on interactive computer music systems, alongside an MA and BA in music-related disciplines. Education: PhD in Music (2013–2017): "Towards the Realisation of a fully integrated Interactive Computer Music System (ICMS)" MA in Music (2011–2012) BA in Popular Music and Recording (2008–2011) Research interests include algorithmic composition, interactive systems for music, and the application of Markov chains in generative tools. His work often bridges music technology with environmental and community-focused art, as seen in projects like An UnSound Environment and Together Un/Tethered . Major projects include the development of gtm.markov software for generative audio systems and collaborations with interdisciplinary teams on immersive performances. His research has been showcased in software releases, live performances, and academic journals. Notable contributions include: Generative music software tools (e.g., gtm.humaniser , gtm.4Live ) Interactive systems for live music performance Eco-acoustic sound installations

Ronaldo Vigoمشاهده پروفایل

دانشیار

• Mathematical Modeling
• Computational Modeling
• Cognitive Processes
• +۱۳ مورد دیگر

Ronaldo Vigo is an Associate Professor in the Department of Psychology at Ohio University's College of Arts and Sciences, where he conducts research and teaches in mathematical and computational cognitive science. He is based in Porter Hall and can be reached at vigo@ohio.edu or (740) 593-1089. Research Interests: Dr. Vigo's research centers on the development of mathematical and computational models of human cognition, particularly in concept learning, categorization, similarity assessment, and perception. He investigates why some concepts are harder to learn than others and whether structural context influences cognitive processes. His work is grounded in the detection of invariance structures in categorical stimuli, leading to non-probabilistic, algebraic models that predict learning difficulty without free parameters. His key theoretical contributions include the Generalized Invariance Structure Theory (GIST) and Representational Information Theory (RIT), which have been applied in empirical studies using eye-tracking technology in the SCOPE LAB (Structure, Concepts, and Perception Laboratory). This lab explores gaze patterns during category learning and the role of structural context in decision-making and similarity judgments. Publication Trends: His publications from 2006 to 2016 reflect a consistent focus on formal modeling of cognition, with increasing integration of empirical methods like eye tracking. The work spans theoretical advances in information theory, structural complexity, and categorization, often bridging cognitive science with mathematical rigor. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: Dr. Vigo is actively mentoring PhD students and accepting new advisees. His research is supported through laboratory-based empirical work and theoretical development. He has supervised graduate students in projects involving concept learning, categorization, and decision behavior. Labs and Teams: He leads the SCOPE LAB , which integrates computational modeling with psychophysical and eye-tracking methodologies to study human cognition.

• Interactive Audio
• Game Audio
• Electroacoustics
• +۱۲ مورد دیگر

Christos Michalakos is a Senior Lecturer in Game Audio at the School of Design and Informatics, University of Abertay, where he teaches and researches in interactive audio, game sound, and digital performance. His work bridges music, technology, and games, with a focus on real-time systems and improvisation. BSc in Mathematics, University of Crete (2006) MSc in Acoustics and Music Technology, University of Edinburgh (2008) PhD in Creative Music Practice, University of Edinburgh (2013) His research centers on expressive music technologies, live electronics, and XR audio, exploring how sound interacts with games and performance. He develops custom systems for interactive music and has performed internationally with artists like Evan Parker and Stelarc. His work often involves hybrid instruments, such as his sensor-augmented drum-kit, and investigates affordances in digital sound environments. The recent publications show a strong trend in using game engines and virtual reality for musical composition and improvisation, blending software development with artistic practice. Topics include procedural audio, real-time interaction, and immersive sound design, reflecting a deep integration of computer science and digital arts. Notable scientific awards include: Royal Society of Edinburgh Enterprise Fellowship (2018) Carnegie Trust Research Incentive Grant (2017) EPSRC Scholarship (2007) Multiple PRE Grants and performance bursaries Christos supervises honours projects and has led knowledge exchange initiatives like school workshops and festival presentations. He is affiliated with research groups such as Sound Lab Edinburgh and co-directed Inventor Composer Coaction. His research is supported by grants from the Royal Society of Edinburgh and the Carnegie Trust, indicating active funding and scholarly impact. He is involved in collaborative performance projects, software development for artistic purposes, and outreach through festivals and workshops, demonstrating a strong commitment to both academic and public engagement in digital music and game audio.

Joseph Mallochمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Digital Musical Instruments
• Input Device Design and Evaluation
• +۷ مورد دیگر

Joseph Malloch is an Assistant Professor in the Faculty of Computer Science at Dalhousie University. He leads research in human-computer interaction, digital musical instruments, and interactive media systems, and is affiliated with the GEM Lab and the Human-Computer Interaction, Visualization & Graphics research cluster. Research Interests: His work focuses on designing novel input devices such as the T-Stick, developing software frameworks like libmapper for flexible signal routing, and exploring machine learning applications in sound synthesis. He investigates how sensor-rich interfaces can enhance musical expression and audience engagement. The recent publications highlight a strong trend in smart musical instruments, runtime mapping complexity, and the use of AI for synthesizer patch generation. His research bridges computer science, music, and design, emphasizing real-time interaction, modularity, and performer control. No scientific awards were mentioned in the provided text. Joseph Malloch advises students and collaborates with performers and researchers globally. His projects often involve interdisciplinary teams and have been demonstrated internationally. He is actively involved in workshops, music hackathons, and the development of open-source tools for interactive media. He leads the GEM Lab, where research focuses on the intersection of graphics, engineering, and music. The lab develops new interfaces for performance, including wearable and wireless sensor systems, and explores creative applications of embedded computing and sensor fusion.

Stephan Weissمشاهده پروفایل

استاد

• Digital Signal Processing
• Adaptive Signal Processing
• Array Processing
• +۱۰ مورد دیگر

Stephan Weiss is a Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, affiliated with the Centre for Signal and Image Processing (CeSIP). He has been a key figure in signal processing research since joining Strathclyde in 1998, previously serving as a Reader (2006–2016), Lecturer, and Senior Lecturer at the University of Southampton (1999–2006), and as a Visiting Lecturer at Strathclyde and a Visiting Scholar at the University of Southern California. Professor, University of Strathclyde Reader, CeSIP (2006–2016) Senior Lecturer, University of Southampton (1999–2006) PhD, Signal Processing, University of Strathclyde (1998) Dipl.-Ing., Electronic & Electrical Engineering, University of Erlangen-Nuremberg (1995) His research focuses on digital signal processing, particularly adaptive, array, and multirate systems, with a strong emphasis on multi-channel broadband applications. His expertise spans MIMO systems, polynomial matrix decompositions, rural broadband access, and signal processing for communications, audio, acoustics, and biomedical applications. He leads and contributes to major research initiatives in secure and efficient signal processing systems. The recent publications highlight a consistent trend in broadband signal processing, particularly in angle of arrival estimation, MIMO systems, and robust filtering techniques. These works emphasize polynomial matrix methods, subspace decomposition, and practical implementation challenges in real-world environments, reflecting his deep engagement with both theoretical and applied aspects of signal processing. His scientific awards include: Best Paper Award, MIMO Systems Track (2011) Best Student Paper Award (2018) Best Paper Award Finalist (2025) Stephan Weiss has supervised multiple research students and leads significant research grants, including projects such as Signal Processing for Advanced Representations and Analysis of the Ocean Acoustic Environment and EO4SECURITY-MicroDoppler . His industrial collaborations include MathWorks, Texas Instruments, BT, BBC, and Prismtech, particularly through the Centre for White Space Communications, where his work supports rural broadband access and dynamic spectrum management. He is actively involved in professional service, having served as General Chair for ISPLC 2014, Technical Chair for EUSIPCO 2009, and as part of the organizing committee for ICASSP 2019. His work contributes to UN Sustainable Development Goals, particularly in education and digital inclusion.

Masatoshi Hamanakaمشاهده پروفایل

پژوهشگر ارشد

• Music Information Technology
• Biomedical Applications
• Unmanned Aircraft Systems

Masatoshi Hamanaka is a Research Fellow at RIKEN 's Center for Advanced Intelligence Project, leading the Music Information Intelligence team. His work bridges interdisciplinary domains including music technology, biomedical applications, and robotics. Ph.D. from University of Tsukuba (2003) Research Interests focus on computational music analysis, with recent work applying transformer models to automate time-span tree analysis from the Generative Theory of Tonal Music. His interests extend to biomedical applications and unmanned aircraft systems, reflecting a multidisciplinary approach to AI and signal processing. Scientific Contributions include breakthroughs in melodic morphing automation and deep learning methodologies for music structure analysis. His 2023 work introduces a total-order priority system for time-span tree branches, enabling automated reductions in musical sequences. Journal of New Music Research Distinguished Paper Award (2005) SIGGRAPH2019 Emerging Technologies Laval Virtual Revolution Research Jury Prize (2019) IJCAI-19 Most Entertaining Video Award (2019)

Gordon Fraserمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Automated Testing
• +۹ مورد دیگر

Gordon Fraser is a Professor and holds the Chair of Software Engineering II at the Faculty of Computer Science and Mathematics, University of Passau, since 2017. His academic journey includes a doctorate from Graz University of Technology and research experience at Saarland University and the University of Sheffield. Research Interests: His work centers on software analysis, software development, and programming education. Key themes include preventing software errors through automated testing, improving developer productivity using AI-based tools, and enhancing programming training—especially for beginners and children. He actively explores the role of gamification, large language models, and search-based techniques in software testing and education. Recent Research Trends: His recent publications (2023–2024) show a strong focus on flaky tests in Python, automated test generation for Android and block-based environments (Scratch), gamification of testing in IDEs, and educational studies on pair programming, gender dynamics, and feedback mechanisms in primary computing education. The integration of AI and machine learning in software testing is a recurring theme, especially in the context of large language models and neuroevolution. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He leads several research projects, including DFG-funded TYPES4STRINGS and DeepMBT , and the DeepCode project which explores AI for code quality. He mentors a large number of students and researchers, particularly in the areas of automated testing and programming education. His advising spans PhD and Master’s students, many of whom are co-authors on his publications. Labs and Teams: He leads a research group at the University of Passau focused on software testing, analysis, and education. The team develops tools like Pynguin for automated Python testing and Code Defenders for gamified software testing education. They also work on LitterBox , a linter for Scratch programs, and various gamification plugins for IDEs and educational platforms.

• Music Therapy
• Accessible Music Technology
• User Experience (UX) Design
• +۳ مورد دیگر

Rebecca Colclasure is a PhD Researcher at the Cambridge Institute for Music Therapy Research , affiliated with the Faculty of Arts, Humanities, Education and Social Sciences at Anglia Ruskin University . Her work bridges music technology , music therapy , and user experience (UX) design , focusing on adaptive technologies for disabled musicians and stroke rehabilitation. Educational Background: PhD (submitted), Anglia Ruskin University MA Music Education, University College London (UCL) PGCE Secondary Education, Middlesex University Associated Professional in Neurological Music Therapy, NMT Academy Her research explores the intersection of disability access and digital music production , including projects like Fused Music and adaptive DDR rhythm games for post-stroke rehabilitation. She has presented at international conferences such as the European Research and Innovation Conference and Music Tech Fest . Rebecca's technical expertise spans eyegaze interfaces , soundbeam systems , and custom game controllers , with applications in special education needs (SEN) and neurological rehabilitation . She combines music production , human-computer interaction , and clinical research to create inclusive musical experiences.

Paul Musialمشاهده پروفایل

عضو هیئت علمی

• Real Analysis
• Integration Theory
• Henstock-Kurzweil Integral
• +۹ مورد دیگر

Paul Musial is an Adjunct Lecturer in the Department of Computing, Information, Mathematical Sciences, and Technology at Chicago State University, part of the College of Arts and Sciences. He holds a Ph.D. in Mathematics from the University of Illinois at Chicago and has been actively involved in teaching, research, and service at CSU. Ph.D., Mathematics, University of Illinois at Chicago, 2002 M.S., Mathematics, University of Illinois at Chicago, 1997 B.S., Mathematics, University of Illinois at Urbana-Champaign, 1984 His research focuses on real analysis and integration theory, particularly the Henstock-Kurzweil and Lr-based integrals. He explores descriptive characterizations, duality, and extensions of integrals, contributing to the theoretical foundations of nonabsolute integration. He also investigates applications in trigonometric series and BV functions. Paul Musial's recent publications center on the HKr, Pr, and Lr variational integrals, with a consistent focus on structural properties and relationships between generalized integrals. The articles reflect a deep engagement with real analysis, functional spaces, and the recovery of functions from derivatives, indicating a sustained and specialized research trajectory in advanced integration theory. He has not received explicitly mentioned scientific awards in the provided text. Paul Musial has advised over a dozen master’s students on projects and theses in areas such as nonabsolute integrals, game theory, statistics, and fractal geometry. He has served as a committee chair on multiple federally and institutionally funded grants, including projects on mathematics mastery and summer symposia in real analysis. His service includes extensive committee work at the departmental, college, and university levels, particularly in curriculum, assessment, and strategic planning. He is actively involved in research projects including the dual space of HKr integrable functions, extensions of the Henstock-Kurzweil integral, and functions of Lr bounded variation. He also pursues creative work in music with a project involving cello and computer programming.

Felix Blankenburgمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroimaging
• Somatosensory Processing
• +۵ مورد دیگر

Felix Blankenburg is Professor and Chair of the Neurocomputation and Neuroimaging Unit at the Department of Education and Psychology, Freie Universität Berlin. His research investigates neural mechanisms of perception, cognition, and action using multimodal neuroimaging (fMRI, EEG) and neurostimulation (TMS, tDCS), with emphasis on somatosensory processing, sensory attenuation, and perceptual decision-making within virtual reality environments. His primary research focuses on cognitive neuroscience and neuroimaging, exploring how the brain processes tactile information, integrates multisensory cues, and generates conscious perception. Key areas include Bayesian models of sensory prediction, neural correlates of working memory for tactile stimuli, cross-modal influences (e.g., language on touch), and computational mechanisms of perceptual decisions. His work bridges experimental neuroscience with theoretical frameworks like active inference. Recent publications (2023-2025) reveal strong trends in multimodal integration methodologies, predictive coding applications in somatosensation, and clinical translation through neurostimulation. He pioneers concurrent TMS-fMRI and virtual reality paradigms to probe causal brain mechanisms, with growing emphasis on therapeutic applications for mental health as evidenced by the PREACT research unit. Professor Blankenburg supervises PhD students including: Gianluigi Giannini Guido Caccialupi Jona Förster He serves as principal investigator for the DFG-funded Research Unit 5187 PREACT, developing neuroimaging biomarkers to predict psychotherapy response in non-respondent patients through fMRI-based signatures. The Neurocomputation and Neuroimaging Unit, under his leadership, integrates computational modeling with empirical neuroscience. The team comprises postdocs, PhD students, and research staff collaborating on projects spanning tactile perception, decision neuroscience, and clinical applications of neuroimaging.

• Control Systems
• Neural Networks
• Embedded Systems
• +۶ مورد دیگر

Dr. Eng. Marek Krok is a Lecturer at the Department of Automation within the Faculty of Electrical Engineering, Automation and Computer Science at Opole University of Technology. His academic focus lies in control systems, neural networks, and energy-efficient algorithm design, with significant contributions to perfect control theory and FPGA-based implementations. Role: Lecturer Department: Automation Contact: Room P3-414, m.krok@po.edu.pl His research emphasizes perfect control systems , including energy-optimal algorithms for LTI systems, inverse model control, and pole-free control strategies. He has explored practical applications in servomechanism systems and CNC machining, leveraging neural networks and FPGA hardware for improved performance. The most recent 15 publications highlight trends in control theory , neural network integration , energy optimization , and hardware implementations . Key subfields include model-based control, recurrent neural networks, FPGA acceleration, multivariable systems, Moore–Penrose inverse alternatives, and real-time control validation. In teaching, Krok supervises consultations and maintains a personal website: m.krok.po.opole.pl . His work bridges theoretical control system design with industrial applications in automation and robotics.

Damon Daylamani-Zadمشاهده پروفایل

مدرس ارشد

• Applications of AI in Games and Digital Media
• Machine Learning & Evolutionary Algorithms
• Serious Games and Gamification
• +۴ مورد دیگر

Dr Damon Daylamani-Zad serves as a Senior Lecturer in Creative Computing (AI and Games) within the Digital Media Department at Brunel Design School, part of Brunel University London's College of Engineering, Design and Physical Sciences. He holds a PhD in Multimedia Computing from Brunel University and is a Fellow of both the British Computer Society (FBCS) and Higher Education Academy (FHEA). His research spans Applications of AI in Games and Digital Media , focusing on Machine Learning for automated music generation, Serious Games for accessibility and health interventions, and Extended Reality applications in cultural heritage and education. Key research themes include: Swarm intelligence for strategic game development Gamification for accessibility design Immersive training systems for behavioral change User modeling and personalization in digital environments His recent publications demonstrate strong trends in pedagogical AI agents (2025), immersive cycling safety training (2025), and intelligent game asset generation (2024), reflecting his dual focus on educational technology and practical health/safety applications through gaming frameworks. As Joint Director of the Laboratory of Immersive Virtual Environments (LIVE) and PG Courses Director, he leads significant research initiatives including EPSRC/AHRC-funded projects on heritage site decolonization through mixed reality and Bikeability Trust interventions for child cycling safety. His editorial roles include Springer-Nature's Scientific Reports and MDPI Multimedia. He actively supervises PhD candidates in AI applications for games, machine learning algorithms, accessibility design, and immersive technologies, maintaining strong industry connections through the London Unity User Group (3,000+ members) and Serious Games Association.

Asoke Nandiمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Wireless Communications
• +۷ مورد دیگر

Professor Asoke Nandi serves as Professor of Electronic & Computer Engineering at Brunel University of London, where he has been Head of Electronic and Computer Engineering since April 2013. Previously, he held the David Jardine Chair of Signal Processing at the University of Liverpool, where he established and led the Signal Processing and Communications Research Group. His academic journey began with a PhD from the University of Cambridge, followed by positions at prestigious institutions including Rutherford Appleton Laboratory, CERN, Queen Mary University of London, the University of Oxford, Imperial College London, and the University of Strathclyde. Professor Nandi's research spans theoretical developments in signal processing and machine learning, with applied contributions across multiple domains. His work encompasses wireless communications (including automatic modulation recognition and equalization), biomedical signal processing (breast cancer detection, electrocardiogram extraction, retinal image processing), machine condition monitoring, image forensics, time series predictions, genomic signal processing (gene clustering), brain signal processing (music, EEG, and fMRI data processing), and Big Data analytics. These diverse research interests demonstrate his interdisciplinary approach to information engineering problems. His recent publications reveal a strong focus on deep learning applications across multiple domains, with emphasis on medical imaging (particularly cancer diagnosis and segmentation), remote sensing change detection, fault diagnosis in mechanical systems, and innovative approaches to image processing. The research shows a clear trajectory toward more sophisticated neural network architectures including attention mechanisms, diffusion models, and multimodal fusion techniques applied to real-world engineering and medical challenges. IEEE Transactions on Radiation and Plasma Medical Sciences Best Paper Award (2025) Foreign Member of Chinese Society for Vibration Engineering (2025) Member of Academia Scientiarum et Artium Europaea (2023) Member of Academia Europaea (2023) Fellow of Royal Academy of Engineering, U.K. (2014) IEEE Distinguished Lecturer (EMBS, 2018-2019) Finland Distinguished Professor Award (2010-2014) Co-discoverer of W+, W-, and Z0 particles (1983) Professor Nandi has supervised numerous PhD students and research projects across his career, though specific student names aren't listed in the provided materials. His work has been supported by various research grants that have enabled his prolific output of over 650 technical papers, including more than 320 in quality international journals, with an impressive h-index of 92 according to Google Scholar. His research group IEHS at Brunel focuses on information engineering and health systems, reflecting his interdisciplinary approach. Professor Nandi maintains active collaborations through his visiting professorships at institutions including Xi'an Jiatong University (China), Universite d'Orleans (France), and Tongji University (China), as well as his previous adjunct professorship at the University of Calgary (Canada). These international connections enrich his research environment and provide opportunities for cross-cultural scientific exchange.