Find Academic Supervisors

• Computer Graphics
• Image Processing
• 3D Modeling
• +5 more

George Wolberg is a Professor of Computer Science at the City College of New York (CCNY), affiliated with the Computer Engineering program. His research focuses on computer graphics, image processing, 3D modeling, and multimedia surveillance, with contributions to digital image warping, feature extraction, and algorithmic art. He holds an office at North Academic Center 8/202G and can be reached at wolberg@ccny.cuny.edu. Over his career, Wolberg has explored interdisciplinary applications such as medical imaging for hypertension analysis and robotic page-turning mechanisms for musicians. His work bridges theoretical foundations with practical implementations, including contributions to 3D urban modeling and sensor fusion systems. Notable trends in his publications include advancements in 3D reconstruction techniques (e.g., RGB-D camera calibration), interactive media systems (e.g., smart picture frames), and medical imaging applications. His research also extends to educational resources like Introduction to Image Processing . No scientific awards or major grants were explicitly listed in the provided materials. While no formal advisees are documented here, his extensive publication record reflects collaborative research efforts in computer vision and graphics.

Maria Alejandra Bosco PaniaguaView profile

Senior Lecturer

• Educational Technology
• Digital Culture
• Maker Movement
• +5 more

Maria Alejandra Bosco Paniagua is a Senior Lecturer in the Department of Applied Pedagogy at Universitat Autònoma de Barcelona (UAB). Her work focuses on educational technology, digital culture, and innovative pedagogical practices. Ph.D., Universitat de Barcelona (2001) Master in Educational Technology, University of Salamanca (1994) Licenciada en Pedagogía, University of Buenos Aires (1988) Her research explores the integration of digital technologies, maker movement, and robotics in primary education, alongside service-learning models to foster computational thinking. Recent projects include policies on generative AI in higher education and strategies for promoting creativity in university teaching. Key collaborations: POLICIES AND PRACTICES ON GENERATIVE AI (2024), CGC-CoP Knowledge Creation Communities (2011), EVAINU Learning Environments (2004)

• Haptic Interfaces
• Human-Computer Interaction
• Multimodal Interfaces
• +5 more

Jeremy R. Cooperstock is a Professor at McGill University in Montreal, Canada, with a distinguished career spanning over three decades in human-computer interaction, haptics, and multimodal interface research. His work has established him as a leading figure in the development of practical haptic communication systems and accessibility technologies. Professor Cooperstock's research focuses on creating novel interfaces that enhance user experience through touch, sound, and visual feedback. His laboratory has pioneered significant advancements in vibrotactile feedback systems, telepresence technologies, and audio-haptic integration for improved user awareness and communication. His work bridges fundamental research in human perception with practical applications across multiple domains including accessibility, social interaction, and immersive environments. His recent publications demonstrate a strong trajectory in developing practical haptic applications for everyday use, with notable contributions to web accessibility frameworks, social touch interfaces, and context-aware haptic feedback systems. Cooperstock's research has evolved from foundational work in multimodal telepresence to increasingly applied research addressing real-world challenges in human communication and interaction. Throughout his career, Cooperstock has mentored numerous graduate students who have become significant contributors in the field. His collaborative approach is evident in his extensive publication record with students and colleagues across multiple institutions. His research group has consistently produced high-impact work published in top-tier venues including IEEE Transactions on Haptics, CHI, UIST, and WHC.

Andreas BjorckView profile

Associate Professor

• Film Scoring
• Music Technology
• Sound Design
• +3 more

Andreas Bjorck is an Associate Professor affiliated with the Screen Scoring Department at Berklee College of Music. He is a composer, sound designer, and engineer at Verité Music Productions, with expertise in blending music technology and film/media scoring. Specializes in documentary and film scoring Active in music technology education and practice Contact: abjorck@berklee.edu | Telephone: 617-747-8142 Research and Creative Focus : Bjorck emphasizes the intersection of music technology and cinematic storytelling, with a focus on documentary projects and electronic music production. His teaching philosophy advocates mastering technical tools to prioritize artistic outcomes. Notable Awards : Emmy nominee for Best Music (*The Nazi Officer’s Wife*) Emmy nominee for Best Documentary (*Omar & Pete*) Emmy winner for Best Informational Programming (*Rx for Survival*) Career Highlights : Scored PBS/NOVA documentaries *Car of the Future* and *The Great Robot Race*, composed for the award-winning short *Olyver Brody*, and produced the debut album *Murmurs* for indie electronic artist Caroline.

Drew DolanView profile

Professor

• Music Composition
• Percussion Performance
• Improvisation
• +3 more

Drew Dolan is a composer and educator actively engaged in contemporary music creation and performance. Currently teaching at the University of Cincinnati and previously at Kennesaw State University, he specializes in courses related to Music Theory, World Music, and 20th Century Music & Politics. Doctoral studies at University of Cincinnati College-Conservatory of Music Master's and Bachelor's degrees from Bowling Green State University and Georgia State University Dolan's research and creative practice centers around instrumental composition, interdisciplinary collaboration, and experimental performance techniques. His work explores: Cultural ritual integration in music Improvisation with unconventional instruments Visual-art inspired sound structures Mechanical/robotic musical tools Cross-disciplinary multimedia performance Historical narrative musicalization His recent publications demonstrate a focus on: Expanded percussion techniques Chamber ensemble innovation Temporal manipulation in composition Hybrid instrumental use Performance space acoustics Instrument adaptation experiments Dolan's teaching emphasizes both traditional theoretical frameworks and contemporary performance practices, though specific student advising details remain unrecorded.

Giovanna GuerriniView profile

Associate Professor

• Data Management
• Large Scale Data Management
• Semantic Data Management
• +15 more

Giovanna Guerrini is an Associate Professor in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa, Italy. She is actively involved in research, teaching, and academic service, with leadership roles in major conferences such as EDBT (Executive Board Member and Treasurer), SOFSEM (Track Chair), and UMAP (Workshop Chair). Her research interests include: Data Management Large Scale and Semantic Data Management Approximate and Adaptive Query Processing Linked Data and Ontology Matching Graph Matching and Geospatial Ontologies Spatio-Temporal Data and Location Inference Computer Science Education and Computational Thinking Her recent publications show a growing focus on computer science education, particularly in using gamified and extended reality environments, Sonic Pi for teaching concurrency, and AI-driven tools for enhancing computational thinking. This reflects a shift toward pedagogical innovation and student-centered learning methodologies. She has been recognized through active participation in top-tier program committees (SIGMOD, ISWC, ICDE) and organizing key workshops and schools (EDBT School 2017, APCSE at UMAP). No formal scientific awards are listed in the provided text. She advises multiple PhD students, both current and past, and contributes to academic grants and collaborative projects, particularly in database education and data science initiatives. She is affiliated with research groups including the DaMA Research Group, Data Science and Engineering Research Program, Big Data Interest Group UniGe, and CINI Big Data Research Lab.

Zhigang DengView profile

Professor

• Human-Centered Computing
• Computer Graphics
• Computer Animation
• +4 more

Zhigang Deng is the Moores Professor of Computer Science and Director of Graduate Studies at the University of Houston's Department of Computer Science. He earned his Ph.D. in Computer Science from the University of Southern California (2006), with earlier degrees from Peking University (M.S. 2004) and Xiamen University (B.S. 1997). His research focuses on Human-Centered Computing, Computer Graphics, and Computational Surgery, with notable contributions to insect flight simulation, surgical telementoring, and AI-human collaboration in medical diagnosis. He has been funded by NSF, NIH, NASA, and industry partners like Google and EA. His work is featured in ACM TOG, IEEE TVCG, and SIGGRAPH. Awards include the ACM Distinguished Member (2021), Moores Professorship (2021), and multiple best paper awards. He directs the University of Houston's Computer Graphics and Interactive Media Lab, and serves on editorial boards for IEEE TVCG and Computer Graphics Forum. Teaching includes courses on 3D Graphics and Game Development. Current research projects include surgical simulation frameworks (HySim), farm scene modeling from satellite data, and multimodal conversation analysis in multi-party interactions.

• Robotics
• Machine Learning
• Reinforcement Learning
• +7 more

Sancho Moura Oliveira is an Associate Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he is also affiliated with the School of Technologies and Architecture. He serves as an Associate Researcher at the Institute of Telecommunications - IUL, contributing to the Information Technology Group. His work bridges computer science, robotics, and interdisciplinary innovation. PhD in Physics, Faculty of Sciences, University of Lisbon (2008) Master's degree in Physics, Faculty of Sciences, University of Lisbon (2001) Bachelor's degree in Electrical and Computer Engineering, Higher Technical Institute, University of Lisbon (1996) His research spans Robotics , Machine Learning , Reinforcement Learning , and Evolutionary Robotics , with a strong emphasis on multi-agent systems and embodied intelligence. He has led pioneering projects integrating science with art and communication, such as the interactive installation "Musical Morphogenesis". His supervision of over 30 master’s and doctoral students reflects his commitment to academic mentorship. Sancho Moura Oliveira has received notable recognition including the Best Robotics Video at AAAI 2016 and a Paper of Excellence Award at ICDL-EpiRob 2012. He has been honored for innovation in the Exame Informática awards and had a co-authored article selected for Computing Reviews' Best of Computing list. Principal Investigator, CORATAM – Control of Aquatic Drones for Maritime Tasks (2014–2015) Lead researcher, Musical Morphogenesis – interdisciplinary project in computational biology and robotics (2014–2017) Project lead, SAAS – Remote Piloted Semi-Autonomous Aerial Surveillance System (2012–2014) He has held key academic roles including Director of the Bachelor’s Degree in Computer Engineering and active involvement in curriculum development and academic governance. His teaching portfolio covers Artificial Intelligence, Machine Learning, Robotics, and Open Source Software, demonstrating both breadth and depth in computer science education.

Mark-David HosaleView profile

Associate Professor

• Computational Art
• Interactive Architecture
• Worldmaking
• +7 more

Mark-David Hosale is an Associate Professor and Chair of Computational Arts at York University's School of the Arts, Media, Performance & Design (AMPD). He holds a BA in Music Composition from UC Santa Barbara. His work bridges computational art, performance, and architecture, focusing on worldmaking through interdisciplinary collaborations. Education: BA - Music Composition (UC Santa Barbara) Key Roles: Chair of Computational Arts, nD::StudioLab Director Research Labs: nD::StudioLab Research interests include the intersection of virtual and physical worlds, using digital fabrication and hardware/software integration to create immersive art. His theoretical practice centers on worldmaking —artworks that propose ontological alternatives through sensory experiences. Notable collaborations include the IceCube Neutrino Observatory and the PACIS project. His exhibitions span venues like SIGGRAPH, Dutch Electronic Art Festival, and Venice Biennale. Labs/Teams: nD::StudioLab, PACIS collaboration Grants: Multiple undisclosed research grants Labs include the nD::StudioLab, an experimental space for ArtScience research-creation.

• Musical Acoustics
• Percussive Dynamics
• Automatic Guidance
• +3 more

Joaquim Agullo Batlle is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mechanical Engineering at the Barcelona School of Industrial Engineering (ETSEIB). His research focuses on musical acoustics, percussive dynamics, automatic guidance systems, and omnidirectional wheel design. He has authored numerous publications and collaborated on projects related to multibody dynamics, robotics, and vibration analysis. His academic career includes over 295 documented activities, spanning research articles, book chapters, and contributions to conferences. Notable works include studies on rigid body dynamics, impact scenarios in mechanical systems, and acoustic analysis of musical instruments. He has also contributed to educational materials, such as textbooks on mechanical engineering and vibration theory. Agullo Batlle’s research has addressed practical applications like robot calibration, mobile localization, and the design of orthotic devices for spinal injury patients. His work frequently intersects engineering mechanics with interdisciplinary fields like acoustics and mechatronics.

Marcelo CoelhoView profile

Academic

• Artificial Intelligence
• Industrial Design
• User Experience
• +3 more

Marcelo Coelho is an Associate Professor of the Practice in the Department of Architecture at MIT, where he teaches graduate and undergraduate design studios and directs the Design Intelligence Lab. His work integrates artificial intelligence, industrial design, and user experience to create innovative physical interfaces and systems. He holds a doctorate from MIT’s Media Lab and focuses on projects like Large Language Objects (LLO), Geolectric (sustainable materials for electronics), and Light Craft (AI-driven film lighting). His research interests span generative AI applications, sustainable materials, interactive technologies, and human-machine collaboration. Notable projects include the Paralympic Ceremony’s 'Beyond Vision' lighting performance and the 'Six-Forty by Four-Eighty' interactive lighting installation. He has been recognized with awards including the Prix Ars Electronica, Design Miami/ Designer of the Future, and Fast Company’s Innovation by Design. Marcelo teaches courses such as 4.031 (Objects and Interaction) and 4.043 (Interaction Intelligence). His work bridges academia and industry, emphasizing sustainable design and accessible creative tools. The Design Intelligence Lab explores AI’s role in fabrication, interaction, and material innovation.

Deniz BaşkentView profile

Professor

• Human Perception
• Hearing Impairment
• Cochlear Implants
• +5 more

Prof. Deniz Başkent is a Professor at the University of Groningen (RUG) and affiliated with the University Medical Center Groningen (UMCG). He leads the dB SPL Lab, focusing on human perception, particularly in hearing and speech, with specialties in cochlear implants and hearing impairment. His work extends to voice perception, vocal emotion, music training, and robotics, employing experimental methods like eye tracking. The lab collaborates across disciplines, including the W.J. Kolff Institute for Biomedical Engineering and Materials Science. Key affiliations include the Department of Otorhinolaryngology, School of Behavioral and Cognitive Neuroscience (BCN), and UMCG. Recent lab activities include hosting auditory seminars with renowned guests (e.g., Prof. Lina Reiss, Prof. Toshio Irino) and participating in the VoCS Doctoral Network with 19 PhD positions. Contact: d.baskent@rug.nl. Research emphasizes multidisciplinary approaches to understanding perception, with a focus on clinical applications for hearing-impaired populations, including children and cochlear implant users.

Michael AbbottView profile

Assistant Professor

• Mechatronics
• Haptics
• Biomechanics
• +3 more

Michael Abbott is an Assistant Professor in the Department of Mechanical Engineering at Santa Clara University's School of Engineering. His work focuses on developing assistive technologies through interdisciplinary research spanning mechatronics, haptics, and biomechanics. Education: Ph.D. (2024), M.S. (2020) in Mechanical Engineering from UC Berkeley; B.S. (2016) in Mechanical Engineering from UC Santa Barbara Research interests center on creating innovative solutions for healthcare and robotics, including: Integration of continuously variable transmissions in body-powered prostheses Haptic characterization of cable-driven upper-limb assistance devices Biomechanical analysis for human-centered robotic design His recent publications demonstrate expertise in transmission systems (2023-2022), haptic feedback mechanisms (2021), and wearable assistive devices (2020). Prior industry experience includes automation engineering roles at Angstrom Designs and Northrop Grumman. Outside academia, he engages in music production, Brazilian jiu-jitsu, and Bay Area outdoor exploration.

Ali Taylan CemgilView profile

Associate Professor

• Bayesian Statistics
• Machine Learning
• Time Series Analysis
• +4 more

Ali Taylan Cemgil is an Associate Professor at Bogazici University's Department of Computer Engineering, College of Engineering. His research focuses on Bayesian statistics, machine learning, and audio/music processing within the Perceptual Intelligence Laboratory (PILAB). PhD in Computer Science from Radboud University Nijmegen (2004) Postdoctoral research at University of Amsterdam (Intelligent Autonomous Systems Lab) and University of Cambridge (Signal Processing and Communications Lab) Research Interests: Bayesian modeling and time series analysis Audio signal processing and source separation Human-AI collaboration frameworks Probabilistic methods in AI reliability and fairness Scientific Contributions: Recent work explores conformal prediction for model calibration, adversarial robustness in deep learning, and fairness-aware medical AI systems. His research spans theoretical foundations in Bayesian statistics and practical applications in indoor localization and capsule robotics. Academic Service: Current faculty member with extensive publications in AI/ML, signal processing, and probabilistic modeling.

Fadeev Alexander SergeevichView profile

Associate Professor

• Passenger transport control and management system
• Music recognition
• Web design
• +3 more

Fadeev Alexander Sergeevich is a Russian academic and Associate Professor at Tomsk Polytechnic University (TPU). He currently serves as the Director of the Engineering School of Information Technology and Robotics at TPU, a role he has held since 2023. His academic career spans over two decades, including roles such as Vice-Rector for Digitalization and Deputy Dean for scientific work. Education: Candidate of Technical Sciences (TPU, 2008) Current Affiliation: Department of Information Technology, TPU Leadership Roles: Director of multiple TPU departments including the Center for Digital Educational Technologies and Institute of Electronic Learning. His research focuses on passenger transport systems , music recognition algorithms , web design , and database management systems . He teaches courses in information systems administration, system software, automatic control theory, and real-time systems. Scientific Awards : Tomsk Region Prize in Education and Science (1996) Tomsk Mayor’s Personal Scholarship (2002) Medal 'For Services to Tomsk Polytechnic University' (2003) Russian Government Prize in Science and Technology for Young Scientists (2015) TPU Gallery of Honor (2015, 2020) His career combines technical innovation with educational leadership, particularly in digitalization initiatives at TPU.