جست‌وجوی استاد و پژوهشگر

Ben Johansenمشاهده پروفایل

مدرس ارشد

• Music Composition
• Computer Music
• Electroacoustic Music
• +۳ مورد دیگر

Ben Johansen, PhD is a Senior Lecturer in Composition & Computer Music at the University of North Texas School of Music , with nearly two decades of experience merging coding, music, and technology in creative projects, teaching, and research. His work spans acoustic and electronic music , improvisation , and the intersection of art and Christianity . Education: Bachelor’s in Music Education, Baylor University Master’s in Music Composition, Baylor University PhD in Music (Composition + Computer Media specialization + Installation Art minor), University of North Texas Johansen’s research emphasizes intuitive interactions, modularity , and physical computing , utilizing tools like Max, Arduino, JavaScript , and Logic Pro . His compositions often integrate interactive computer systems with traditional and electronic instruments, as seen in works like Light Box (Arduino-controlled metal sculptures with RGB LEDs) and Recycled Sound (sound-making metal sculptures). As webmaster for the Baylor School of Music , he redesigned their website in 2017 and is currently updating it in Drupal . His teaching portfolio includes courses in Technology for Musicians , Electroacoustic Music Composition , and advanced individual lessons. Contact: b_johansen@baylor.edu | benjohansen.com

• Signal Processing
• Machine Learning
• Acoustics
• +۵ مورد دیگر

Roland Badeau is a Full Professor at Télécom Paris (part of Institut Polytechnique de Paris) within the Signal, Statistics and Learning (S2A) team of the Image, Data, Signal (IDS) Department. His work focuses on statistical modeling of non-stationary signals, particularly in audio and music processing, with applications including source separation, denoising, dereverberation, and automatic music transcription. He has authored over 30 journal papers, 130 conference papers, 4 patents, and a book chapter. Education : Habilitation à Diriger des Recherches (2010), PhD in Signal Processing (2005) from Télécom Paris Research Themes : Stochastic reverberation models, time-frequency analysis, probabilistic latent variable models, audio coding, and biomedical data applications Teaching : Applied Mathematics and Signal Processing at Télécom Paris; Music Signal Processing at Sorbonne Université; Audio-Frequency Analysis at ENS Paris-Saclay Awards : Featured in Stanford's Top 2% Researchers (2024); contributed to a best student paper award at ICASSP 2020 Responsibilities : Supervision of doctoral theses, teaching units, and academic programs like TSIA and Master ATIAM

• Recommender Systems
• Music Information Retrieval
• Data Science
• +۳ مورد دیگر

Eva Zangerle is a Professor at Universität Innsbruck, Austria, with a focus on recommender systems, music information retrieval, and data science. She actively contributes to multi-method evaluation frameworks and collaborative research initiatives like PAN (Plagiarism Authorship Verification) workshops. Key research areas: Recommender Systems Evaluation, Music Emotion Recognition, Authorship Analysis Major collaborations with institutions like Zenodo, ACM, CEUR-WS.org, and RecSys conferences Her recent work explores graph neural networks for music recommendation, style change detection in multi-author texts, and cross-domain user modeling. Articles emphasize temporal modeling, multimodal data fusion, and ethical considerations in algorithmic systems. Eva leads tasks in PAN workshops and contributes to open-access datasets. She collaborates with researchers like Christine Bauer, Alan Said, and Günther Specht on improving evaluation practices in recommender systems.

Milan Strakaمشاهده پروفایل

استاد

• Machine Learning
• Artificial Neural Networks
• Deep Learning
• +۱۲ مورد دیگر

Milan Straka is a professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University, Prague. His research focuses on machine learning, artificial neural networks, deep learning, and structured prediction with applications to natural language processing (NLP) tasks including POS tagging, dependency parsing, named entity recognition, and optical music recognition. University: Charles University School: Faculty of Mathematics and Physics Department: Institute of Formal and Applied Linguistics Straka has developed several NLP tools like UDPipe and NameTag, contributing to multilingual coreference resolution, Czech grammar error correction, and historical language processing pipelines. His recent work involves contextualized embeddings, semantic parsing, and large-scale dataset creation for Czech NLP tasks. He collaborates on European Language Grid initiatives and has participated in multiple shared tasks (CRAC, MRP, W-NUT). His publications span topics from algorithm design (functional data structures) to modern transformer-based language models (RoBERTa) with emphasis on Czech language resources.

Stuart Jamesمشاهده پروفایل

مدرس

• Music Composition
• Immersive Audio and Video
• Electroacoustic Performance Practice
• +۵ مورد دیگر

Dr. Stuart James is a Lecturer in the Composition and Music Technology program at the Western Australian Academy of Performing Arts , part of Edith Cowan University . His career spans composition, sound design, performance, and music technology development, with a focus on integrating acoustic and electronic media. Education: PhD (2015) in Spatial Audio and Synthesis Master of Arts in Creative Arts (2006) Bachelor of Music with First Class Honours (2001) Certificate in Jazz (1995) Research Interests encompass Music Composition with a blend of acoustic and electronic instruments, Immersive Audio-Visual Systems , Wave Terrain and Spectral Synthesis , and Digital Signal Processing for performance. His work explores Electroacoustic Performance Practice and Networked Music Environments . Publication Trends reflect a focus on experimental composition , interactive notation (notably iPad-based systems like the Decibel ScorePlayer), and spatial audio techniques . Collaborative projects with ensembles such as Decibel and artists like Erin Coates and Louise Devenish highlight his interdisciplinary approach. Scientific Awards include the ASME Young Composers' Competition State Finals Winner , the Dorothy Ransom Composition Prize , and nominations for Australian Music Centre Awards . Professional Contributions include founding membership in the Decibel Ensemble , managing a commercial recording studio for artists like ShockOne, and developing networked music notation software . He has supervised PhD projects on topics like meditative sonic praxis and timbre analysis .

Yingjie Chenمشاهده پروفایل

استاد

• Virtual Reality
• Human-Computer Interaction
• AI in Computer Graphics
• +۳ مورد دیگر

Yingjie Chen is a Professor at Purdue University's Purdue Polytechnic Institute, Department of Computer Graphics Technology. He holds a Ph.D. in Human-Computer Interaction from Simon Fraser University (2011), a Master of Science in Information Technology (2007), and a Bachelor of Engineering from Tsinghua University (1992). His research focuses on interdisciplinary domains including Virtual Reality, AI in Computer Graphics, Human-Computer Interaction, and Information Visualization. He has led multiple grants, including projects on VR training systems for Cryo-EM and precision medicine using Graph AI. Education: Ph.D., Human-Computer Interaction, Simon Fraser University (2011) M.Sc., Information Technology, Simon Fraser University (2007) B.Eng., Thermal Engineering, Tsinghua University (1992) Dr. Chen’s research emphasizes practical implementation and evaluation, blending theory with real-world applications. His work spans VR training systems, autonomous driving perception, and clinical decision support systems. Recent grants include funding for VR-based Cryo-EM training and AI in precision medicine. Research Interests: Virtual Reality (VR) System Design AI-Driven Computer Graphics Visual Analytics for Healthcare Human Factors in Autonomous Systems Grants & Awards: "Virtual Reality Augmented Hands-on Cryo-EM Training" (2020–2023) "Graph AI for Precision Medicine" (2021–2023) VAST Challenge Awards (2017, 2019) His lab, VA.Tech , develops innovative visual systems for interdisciplinary challenges. Collaborations span healthcare, transportation, and environmental science.

James Coupeمشاهده پروفایل

عضو هیئت علمی

• Computer Vision
• Installation Art
• Interactive Media
• +۵ مورد دیگر

James Coupe is an Affiliate Professor at the Royal College of Art and previously an Assistant Professor at the University of Washington's Department of Digital Art and Experimental Media (DXARTS). He holds a Ph.D. in Digital Art and Experimental Media from the University of Washington (2009), an M.A. in Creative Technology from the University of Salford (2000), and an M.A. in Fine Art from the University of Edinburgh (1999). His research focuses on systems, autonomy, and networks, particularly exploring surveillance, privacy, and the interplay between human behavior and technological systems. Key projects include Surveillance Suite (supported by Creative Capital), Sanctum (a public art installation at the Henry Art Gallery), and Warriors (exhibited at the International Center of Photography). He has received awards such as the Honorary Mention at Ars Electronica and the HeK net-based award. His work often employs computer vision, real-time data streams, and interactive installations to critique societal systems and digital surveillance. James has collaborated with institutions like ThoughtWorks Arts and the Writing Machine Collective. His art has been featured in venues including Kunstraum Kreuzberg Berlin, ZKM, and the Henry Art Gallery. His research extends to ethical considerations of observation in digital age, as seen in his participation in panels like 'Virtual Panopticons.'

Finale Doshi-Velezمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Healthcare Applications
• +۵ مورد دیگر

Finale Doshi-Velez is the Herchel Smith Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. She holds a MSc from the University of Cambridge (as a Marshall Scholar) and a PhD from MIT, followed by a postdoc at Harvard Medical School. Her research focuses on probabilistic methods for human-AI decision-making, spanning healthcare applications, AI interpretability, and socio-technical AI policy. Her DtAK group develops tools for accountable AI systems, including Bayesian models, decision-making frameworks, and validation techniques. Key research areas include: Probabilistic Modeling: Uncertainty quantification in heterogeneous data, Bayesian inference, and model reliability. Decision-Making: Reinforcement learning for clinical policies, inverse reinforcement learning, and sequential decision support. Interpretability: Explanations for AI policies, concept bottleneck models, and human-AI collaboration. Notable awards include the Sloan Fellowship, AFOSR YIP, NSF CAREER Award, and the Everett Mendelsohn Excellence in Mentoring Award. Her work bridges technical innovation with ethical AI governance, including contributions to regulatable AI systems and procurement checklists. She also explores creative writing, with fantasy novels centering South Asian perspectives.

Rajalakshmi Nandakumarمشاهده پروفایل

استادیار

• Mobile Health
• User Interface Design
• Internet of Things (IoT)
• +۴ مورد دیگر

Rajalakshmi Nandakumar is an Assistant Professor at Cornell Tech and Cornell University's Computing and Information Science department. She leads the wireless and mobile systems lab, focusing on healthcare technologies and IoT. Her work spans non-invasive medical diagnostics (e.g., sleep apnea detection via smartphones), opioid overdose detection systems, and innovative human-computer interaction methods like FingerIO. Nandakumar earned her Ph.D. from the University of Washington's Paul G. Allen School of Computer Science in 2015. Affiliations: Jacobs Technion-Cornell Institute, Cornell Tech, Computing and Information Science Department Educations: Ph.D. in Computer Science, University of Washington (2015) Research interests include mobile health applications, ubiquitous computing, and leveraging wireless signals for real-world impact. Notable achievements include commercializing ApneaApp with ResMed and developing overdose detection systems through Sound Life Sciences. She has received prestigious awards such as the Marconi Society Paul Baran Young Scholar Award and SenSys 2018 Best Paper. Her lab explores cutting-edge technologies like Living IoT (deploying sensors on live insects) and 3D localization for tiny devices. Teaching includes courses on modern mobile systems and graduate-level research supervision.

Poulomi Palمشاهده پروفایل

پژوهشگر ارشد

• Music Optimization
• Cardiovascular Signal Processing
• Deep Learning
• +۳ مورد دیگر

Poulomi Pal is a Research Fellow in Cardiovascular Imaging with a focus on leveraging music-based technologies and deep learning for precision cardiovascular diagnostics. Her work integrates physiological responses to music with cardiovascular signal processing to develop novel diagnostic models. She holds a PhD in Medical Instrumentation and Bio-signal processing from the Indian Institute of Technology, Kharagpur (2023), with prior degrees in Biomedical Engineering and Electronics and Instrumentation Engineering. Research Interests: Her research spans music optimization for cardiovascular diagnostics, signal processing for CVD detection, and deep learning applications in biomedical engineering. She explores how music-induced physiological changes can enhance diagnostic accuracy for conditions like hypertension and ischemic heart disease. Her work also contributes to UN Sustainable Development Goals related to health and innovation. Collaborations & Trends: Pal collaborates on interdisciplinary projects involving music therapy, cardiovascular signal fusion (ECG/PPG/respiration), and AI-driven medical imaging. Recent work includes a music-based graph convolutional network for hypertension detection and meta-learning approaches for cardiopathy diagnosis using PPG signals. Labs & Teams: Engaged with cardiovascular imaging research groups focused on non-invasive diagnostic tools and biomedical sensor development. Her lab integrates machine learning with clinical data for predictive cardiovascular modeling.

• Computer Science Education
• Citizen Science
• Natural Language Processing
• +۳ مورد دیگر

Steven Bradley is a Teaching Professor in the Department of Computer Science at Durham University . He joined as a lecturer in 1997 and transitioned to full-time teaching roles in 2013 after a part-time stint as a teaching fellow from 2004 to 2013. His work combines academic teaching with interdisciplinary projects, including web consultancy for university research initiatives. Bradley's research focuses on Computer Science Education , Citizen Science , and Natural Language Processing . He explores innovative assessment methods in programming, gender participation in computing, and ecological data platforms. Notably, he co-developed the MammalWeb citizen science web platform for wildlife monitoring and pioneered approaches to address bias in peer review systems. Research Themes : Programming pedagogy, educational technology, interdisciplinary citizen science, and gender inclusion in STEM. Key Contributions : Authored influential papers on plagiarism management, creative assessment techniques, and women's module choices in computing. Bradley has received significant recognition including the Principal Fellow of the HEA (2024) , Best Paper Award at Koli Calling 2019 , and the Excellence in Learning & Teaching Award (2017) . He has held leadership roles such as Chair of the UK ACM SIGCSE and served as an external examiner for Oxford Brookes and the University of Kent. His work bridges academia and practical application through collaborative projects like MammalWeb and contributions to conferences like ITiCSE and Koli Calling. Current research emphasizes advancing equitable teaching practices and leveraging AI for educational improvements.

Anna Bonمشاهده پروفایل

مدرس

• Information and Communication Technologies for Development (ICT4D)
• Sustainable Food Systems
• Digital Inclusion
• +۳ مورد دیگر

Anna Bon is a Lecturer at the Faculty of Science, Vrije Universiteit Amsterdam, and holds roles at the Amsterdam Sustainability Institute and the Centre for International Cooperation. Her research focuses on Information and Communication Technologies for Development (ICT4D), with an emphasis on sustainable food systems in West Africa, digital inclusion, and AI-driven solutions for rural challenges. She earned her PhD from Maastricht University in 2020, exploring ICT4D project redesign through an interdisciplinary lens. Her work addresses local value chains for cereal seeds, bridging indigenous knowledge with scientific frameworks to enhance food security. She actively contributes to initiatives like W4RA (Web Alliance for Regreening in Africa) and supports the Vienna Manifesto on Digital Humanism. Ancillary activities include guest lecturing at TU Wien, Austria (2025). Research interests span digital humanism, ethics in tech, and innovative solutions for low-resource environments. Notable projects include the Amsterdam Digital Divide study and ICT4D Community Service Learning in Malaysia. Her publications emphasize co-creation, equity, and scalable technologies for marginalized communities.

Anthony G Cokesمشاهده پروفایل

استاد

• Media Production
• Multimedia Installation
• Documentary Theory and Practice
• +۶ مورد دیگر

Anthony G. Cokes is a Professor of Modern Culture and Media at Brown University, where he also serves as Interim Chair of the department. His work bridges media production, critical theory, and sound studies, focusing on political and cultural critique through post-conceptual practices. Education : MFA (1985) from Virginia Commonwealth University, BA (1979) from Goddard College Research centers on media production , multimedia installation , and sound-image relations , with emphasis on recontextualizing popular culture and political rhetoric. His Pop Manifestos and Evil series blend text, sound, and appropriated materials to interrogate capitalism, war, and identity. Recent scientific awards include the MacArthur Foundation Grant (2024-2029) and Rockefeller Foundation support. He has received multiple grants from Brown University (OVPR, Faculty Development Fund) and national institutions (NEA, Creative Capital Foundation). Collaborative projects include the sonic.focus conference series with Roger Mayer and Christoph Cox. His work has been exhibited at major institutions like MoMA, Haus der Kunst, and the Whitney Museum.

• African Cultural Studies
• Feminist Studies
• Hip-Hop Studies
• +۳ مورد دیگر

Dr. Msia Kibona Clark is an Associate Professor in the Department of African Studies at Howard University, where she also directs the Hip-Hop Studies minor. Her research focuses on African cultural and feminist studies, particularly exploring hip-hop’s role in shaping identities and social movements. She has authored four books, including Hip Hop in Africa: Prophets of the City and Dustyfoot Philosophers and African Women in Digital Spaces . Clark teaches courses on hip-hop’s social impact and Black women in popular culture, co-developing cross-institutional programs with George Washington University. Institution: Howard University Affiliations: Editorial boards of Journal of African Cultural Studies and Global Hip Hop Studies Journal Key Roles: Board member of DICOTA and CODESRIA Her work emphasizes digital activism, African feminist cyberactivism, and hip-hop’s role in Pan-Africanism. Clark produces the Hip Hop African Blog & Podcast , featuring artists across Africa and the diaspora. She holds a Ph.D. from Howard University (2006) and has been recognized as a Fulbright Scholar (2013/14). Recent research includes decolonizing methodologies in African studies and algorithmic resistance against gender-based digital harms. Key Awards: Fulbright Scholarship Key Projects: Hip-Hop Studies conferences (2023-2024), Howard’s Hip-Hop Studies minor

Foaad Khosmoodمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Digital Government
• +۴ مورد دیگر

Foaad Khosmood is a Professor of Computer Science and Forbes Professor of Computer Engineering at California Polytechnic State University. As Research Director of the Institute for Advanced Technology and Public Policy (IATPP), he leads projects focusing on digital government transparency, AI applications in legislative analysis, and data science for historical research. His work spans NLP/AI, game design, and systems engineering with notable contributions to computational humor analysis, legislative data tools like Digital Democracy, and game jam methodologies documented in his Springer book Game Jams—History, Technology, and Organisation (2023). Education: PhD in Computational Linguistics from UC Santa Cruz (2011). Research interests include artificial intelligence, digital humanities, and applying NLP to policy analysis. Collaborations involve institutions like the University of Miami, Graz University of Technology, and Imperial College London. He actively develops tools for state legislative transparency, historical data recovery (e.g., African Californios project), and AI-driven journalism support systems. His recent publications emphasize explainable AI for humor analysis, legislative stance detection systems, and game-based learning frameworks. Projects like AI4Reporters and Central Coast Data Science Partnership highlight his commitment to bridging technology with civic engagement. He regularly contributes to conferences like DH, ACL, and FDG, advancing interdisciplinary applications of computational methods.