جستجوی استاد راهنمای دانشگاهی

Lambert Schomakerمشاهده پروفایل

استاد

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

Roberto Bresinمشاهده پروفایل

استاد

• Expressive Music Performance
• Emotion in Sound and Music
• Sound in Human-Robot Interaction
• +۳ مورد دیگر

Roberto Bresin is a Professor of Media Technology at KTH Royal Institute of Technology's Division of Media Technology and Interaction Design (MID), part of the School of Electrical Engineering and Computer Science (EECS). He leads the Sound and Music Computing group and serves as Director of Studies for the Media Technology program and Director of NAVET, a center for art, technology, and design research. His work bridges music, robotics, and human interaction. Research focuses include expressive music performance, emotion in sound, robot sound design, and sonification. He holds a PhD in Music Acoustics from KTH (2000) and has extensive experience in sound engineering and interactive systems. Key projects involve designing auditory feedback for robots and exploring light's psychological impacts. His publications span robotics, sonification, and human-centered technology. Recent articles address robot sound aesthetics, daylight effects on behavior, and sonification of computer processes. Bresin collaborates internationally, contributing to EU initiatives like SAME and Nordic SMC networks. His work emphasizes cross-disciplinary innovation, with applications in education, healthcare, and environmental science.

Danica Kragic Jensfeltمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Danica Kragic Jensfelt is a Professor and Head of Division at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. She serves as Co-PI of the research project Robotic Matter under the Digital Futures Faculty. Her work focuses on advancing robotic technologies and their societal applications. She is actively involved in the Robotic Matter project, aiming to develop innovative robotic solutions for global challenges. As part of Digital Futures—a collaborative center with Stockholm University and RISE Research Institutes of Sweden—she contributes to interdisciplinary digital technology research. Research interests include robotics, perception systems, and AI-driven solutions for human-robot interaction. No specific awards or grants are listed in the provided text. Her affiliation with Digital Futures highlights her role in fostering industrial relevance and training future leaders in technology.

Richard Saveryمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Richard Savery is an Honorary Research Fellow at Macquarie University's Faculty of Arts, affiliated with the Performance and Expertise Research Centre and the Centre for Applied Artificial Intelligence. His work bridges artificial intelligence, robotics, and music, focusing on creative interactions and trust-building through robotic musicianship. He holds a PhD in Music Technology from Georgia Institute of Technology (2021) and a Master's from UC Irvine. Key roles include developing the NSF-funded Keirzo rapping/drumming robot and publishing the edited book Sound and Robotics (2023). Research interests include emotional musical prosody, human-robot collaboration, and robotic performance. Notable projects include Shimon the singing robot and IVF sonification. Awards include a GANG Award (2015) for game audio. Active in interdisciplinary collaborations, he has composed music for films, ads, and video games, including Gunman Taco Truck and Gathering Sky . His work spans academic grants ($800k NSF-NRI grant), industry partnerships, and public installations like the Un[contained] Arts Festival's beehive exhibit. Over 50 publications highlight his contributions to robotics, music tech, and AI ethics.

Michael Burkeمشاهده پروفایل

مدرس ارشد

• Robotics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Dr. Michael Burke is a Senior Lecturer and Deputy Graduate School Coordinator at the Department of Electrical and Computer Systems Engineering, Monash University. He specializes in robotics, focusing on probabilistic machine learning and computer vision for autonomous systems. His roles include research supervision, curriculum development, and fostering graduate culture. Education: PhD in Statistical Signal Processing, University of Cambridge (2012–2016) MSc in Electronic Engineering, Stellenbosch University (2009–2011) BEng in Electronic Engineering, University of Pretoria (2005–2008) Research Interests: Robot learning and control Probabilistic machine learning for robotics Interpretable robotics systems and hybrid control architectures Robot perception and visuomotor control His work bridges robotics with machine learning to develop safe, adaptive autonomous systems for applications like surgical robotics and field robotics. Awards and Recognition: Best Paper Award at AMDO 2014 Runner-Up for Best Paper at CoRL 2019 Advising & Grants: Supervising over 20 PhD and Master’s students in robotics and related fields Principal Investigator for ARC-funded projects on robotic pharmaceutical formulation and human-robot interaction (2024–2027) Labs and Teams: Past leadership of the Mobile Intelligent Autonomous Systems group at CSIR, South Africa (2009–2018) Current collaborations with researchers at the University of Edinburgh and University of Melbourne

Pamela Carreno-Medranoمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Robot Learning
• Socially Assistive Robotics
• +۴ مورد دیگر

Dr. Pamela Carreno-Medrano is a Lecturer and Early Career Research Representative in the Department of Electrical and Computer Systems Engineering at Monash University. Her research focuses on Human-Robot Interaction (HRI), robot learning, and socially assistive robotics. She holds a PhD in Information & Communication Sciences (Université de Bretagne-Sud), Master's in Computer Science (École Nationale d’Ingénieurs de Brest), and a Bachelor's in Computer Systems Engineering (Universidad EAFIT). Her work emphasizes human-centered design for intelligent systems, including adaptive navigation algorithms, human-robot collaboration models, and affective computing applications. She leads projects on long-term human-robot interaction and has contributed to interdisciplinary studies on robot ethics and public space integration. Dr. Carreno-Medrano also serves as an Adjunct Lecturer at Universidad EAFIT and collaborates internationally on sustainable aging technologies through the ARC Training Centre for Optimal Ageing. Current research themes include aligning task representations between humans and robots, modeling non-goal-driven human behaviors, and socially aware navigation strategies. She actively supervises postgraduate students in HRI, offering projects on interactive robot learning and embodied AI systems.

Elizabeth Condliffeمشاهده پروفایل

استادیار

• Neurorehabilitation
• Exercise
• Movement Impairment
• +۴ مورد دیگر

Dr. Elizabeth Condliffe is an Assistant Professor at the University of Calgary's Cumming School of Medicine, Department of Clinical Neurosciences, specializing in Physical Medicine and Rehabilitation. She holds adjunct roles in the Faculty of Kinesiology and is a Full Member of the Hotchkiss Brain Institute. Her clinical and research work focuses on neurorehabilitation strategies for children and adults with cerebral palsy and neurodisabilities, emphasizing robotic technologies, neurophysiological tools, and exercise interventions to enhance motor function and quality of life. Education: PhD in Biomedical Engineering, University of Alberta (2021) MD, University of Toronto (2008) MS in Biomedical Engineering, Boston University (2004) BSE in Mechanical & Aerospace Engineering, Princeton University (2002) Research Interests: Dr. Condliffe leads the Pediatric Onset Neuromotor Impairment (PONI) Lab, exploring robotic walking aids, neurostimulation, and clinical tools to address movement impairments. Key areas include: Robotic exoskeletons for bone/muscle health Neuroplasticity mechanisms in cerebral palsy Brain stimulation for motor recovery Adapted physical activity impacts on family dynamics Labs & Networks: She co-leads the Movement Impairment team in the RESTORE Network, participates in the NonInvasive Neurostimulation Network (N3), and is part of the Vi Riddell Pediatric Pain & Rehabilitation Centre.

• Machine Learning
• Computer Vision
• Robotics
• +۴ مورد دیگر

Stéphane Lathuilière is currently a postdoctoral researcher at the University of Trento, having completed his PhD at INRIA under the supervision of Dr. Radu Horaud within the PERCEPTION team. His educational background includes: Engineering degree in Applied Mathematics and Computer Science from Ensimag, Institut polytechnique de Grenoble, France (2014) Master thesis conducted at the International Research Institute MICA, Hanoi, Vietnam His research spans machine learning for activity recognition and tracking, deep regression models, and reinforcement learning for audio-visual fusion in robotics, with primary applications in human-robot interaction and computer vision systems. Analysis of his 2014-2017 publications reveals consistent focus on multimodal machine learning approaches across computer vision domains, including head-pose estimation, group activity recognition, UAV imagery analysis, and mental health assessment through depression severity estimation. No scientific awards were documented in the source material. Information regarding student supervision or research grants is not provided in the available text. During his doctoral studies, he contributed to the PERCEPTION team at INRIA, specializing in perception systems for robotics and computer vision.

• Silicon-Based CMOS Sensors
• Flexible Tactile Sensors
• Biomedical Engineering
• +۳ مورد دیگر

Vartika Verma is a doctoral candidate at the Technical University of Munich (TUM), affiliated with the Chair of Circuit Design under Prof. Ralf Brederlow since November 2020. She holds a bachelor's degree in Electronics and Communication Engineering from NIT Hamirpur and a master's in Electrical Engineering from IIT Mandi. Her master's thesis was completed in collaboration with STMicroelectronics, focusing on power management circuits. She previously worked at NXP Semiconductors in physical design and static timing analysis. Her research focuses on silicon-based CMOS stress sensors and flexible tactile sensors for biomedical and robotic applications. Key areas include piezoresistive sensor arrays, flexible electronics for prosthetic skin integration, and MEMS-based sensor design. Her work bridges biomedical engineering and robotics, addressing tactile perception challenges in smart prosthetics. Recent publications include studies on piezoresistive stress sensors in IEEE Transactions on Biomedical Circuits and Systems (2024) and IEEE SENSORS (2024), as well as contributions to the 2023 IEEE Biomedical Circuits and Systems Conference. No scientific awards are explicitly mentioned in the provided text. She has no listed advisees or grants in this dataset. Vartika is part of the Circuit Design team at TUM, contributing to projects involving tactile sensor development and MEMS technology.

• Computer Vision
• Machine Learning
• Video Analysis
• +۵ مورد دیگر

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

• Occupational Safety and Health
• Construction Management
• Project Management
• +۷ مورد دیگر

Professor Patrick Manu is a faculty member at the University of the West of England (UWE Bristol), holding the position of Professor of Innovative Construction and Project Management within the School of Architecture and Environment. He specializes in construction management, project management, quantity surveying, and occupational safety and health. His research focuses on occupational health and safety, sustainable construction, digital construction technologies, and BIM integration. He has secured funding from EPSRC, DFID, and other institutions for projects like developing web-based safety tools and exploring immersive technologies for safety training. Patrick holds a PhD in Construction Project Management from the University of Wolverhampton, a BSc (First Class Honours) from Kwame Nkrumah University of Science and Technology, and a PGCert in Academic Practice from City University London. He is a Chartered Member of the Chartered Institute of Building and a Fellow of the UK Higher Education Academy. His research interests include BIM applications, Industry 4.0 technologies, circular economy in construction, and AI-driven safety solutions. He has published extensively on topics such as safety risk analysis, UAV applications, and pandemic-era construction safety. He serves as a reviewer for EPSRC, Newton Fund, and leading journals like Safety Science, and chairs committees for organizations like the International Construction Measurement Standards (ICMS). Patrick has held academic positions at institutions including The University of Manchester and KNUST, and his industry experience includes roles in quantity surveying and developing digital tools for construction cost estimation. He leads collaborative projects involving academia and industry partners, emphasizing practical solutions for construction challenges.

• Computer Security
• Privacy Engineering
• Data Science
• +۴ مورد دیگر

UnivProf.Dr. Delphine Reinhardt is a Professor of Computer Science at the University of Göttingen, serving as Head of the Computer Security and Privacy group and Head of the Dean's Office of the Faculty of Mathematics and Computer Science. She is a core member of the Institute of Computer Science and the Campus Institute Data Science (CIDAS). Her work focuses on privacy engineering in emerging technologies like smart devices, extended reality (XR), and human-robot interaction. Research interests include privacy-preserving computation, IoT security, and ethical AI applications. Her recent work explores privacy challenges in smart speakers, telepresence robots for hospitalized children, and cross-platform XR privacy solutions. She leads multiple courses on security and privacy, including advanced seminars and lab internships. Her publications analyze user privacy perceptions across cultures and technologies, with a focus on quantifying privacy risks in smart environments. She actively contributes to standards through leadership roles, balancing academic research with institutional governance responsibilities. Lab affiliations include the Computer Security and Privacy research group, which develops tools like PrivXR and SensitivAlert. She collaborates on EU-funded projects addressing privacy in smart workplaces and autonomous systems.

• Marketing Communication
• Product Design
• Digital Technologies in Marketing
• +۳ مورد دیگر

Yanfen (Cindy) You is an Assistant Professor of Marketing at the University of Massachusetts Amherst, where she has been since 2021. Previously, she held the same position at New Mexico State University (2018–2021). Her research focuses on marketing communication, product design, and leveraging digital technologies to enhance consumer experiences. She holds a Ph.D. in Marketing from the University of Wisconsin-Milwaukee (2018), and prior degrees from Zhongnan University of Economics and Law. Research interests include how sensory signals influence product efficacy, consumer responses to data breaches, and the role of nostalgia in sustainable consumption. She has received prestigious awards such as the Isenberg Teaching and Research Excellence Awards (2024–2025) and was a finalist for the AMA/MSI/H. Paul Root Award (2020). Her work explores diverse topics like consumer conformity to humans vs. robots, the psychological impact of interruptions on decision-making, and the interplay between scarcity cues and superstitious behavior. Teaching interests emphasize consumer behavior and advertising strategy.

Carlos Guedesمشاهده پروفایل

دانشیار

• Music Composition
• Sound Design
• Computational Music
• +۷ مورد دیگر

Carlos Guedes is Associate Professor of Music at New York University Abu Dhabi (NYUAD) , affiliated with the Arts and Humanities division and the Music department. He also holds affiliated positions as Associate Professor in Computer Engineering at NYUAD and in Music Technology at NYU Steinhardt, reflecting his interdisciplinary profile. University: New York University Abu Dhabi School: Arts and Humanities Department: Music Rank: Associate Professor Emails: cag204@nyu.edu, menosmuitomais@gmail.com He holds a BM from the Polytechnic of Porto, School of Music and Performing Arts, and an MA and PhD from New York University. His research and artistic work span music composition, sound design, computational music, and cultural preservation, with a focus on the Gulf, East Africa, and South India. His primary research interests include: Analysis and preservation of music Automatic music generation Interactive music systems Generative computational technologies Audiovisual ethnography Immersive experiences and VR in music He is a founding member of the Music and Sound Cultures (MaSC) research group at NYUAD, which develops hybrid computational-humanistic methodologies and tools such as VR environments and games for cultural enculturation. His recent projects include a faculty research grant from the Sheikh Saud bin Saqr Al Qasimi Foundation to document the musical traditions of the Shihuh tribe in Ras Al Khaimah. As a composer, Guedes has over 80 international premieres, with work presented at major venues and festivals including Expo ’98, Expo 2020, Ars Electronica, ICMC, SIGGRAPH, and the Beijing Modern Music Festival. His compositions often blend industrial, carnatic, and Western erudite traditions with computational technologies. Notable recent works include the Time Poetries cycle for percussion and electronics, composed during his 2021–2022 residency with Drumming GP . His recent artistic output shows a strong trend toward electronic and computational music, with themes exploring space, time, cultural identity, and human-machine interaction. Albums such as Shadows & Reflections (2021) and Becoming Space (2021) reflect collaborative, improvisatory, and ambient tendencies, while pieces like Phobia robotica (2020) and Far Out (ISS Edition) (2024) explore robotic and cosmic themes. He has been actively involved in teaching a wide range of courses across disciplines, including: Music: Music Theory, Individual Instruction, Capstone Seminars, Computational Approaches to Music Computer Science: Capstone Project in CS Interdisciplinary: Immersive Experiences, Multidisciplinary Artistic Collaborations, Audiovisual Ethnography He mentors students in music capstone projects and computational media, and co-advises research in hybrid artistic-technical domains. He leads and participates in research labs and teams such as: Music and Sound Cultures (MaSC) Research Group – focused on computational ethnomusicology and cultural preservation Immersive Experiences Lab – exploring VR, AR, and sensory technologies in artistic contexts Interactive Media and Sound Computing – developing new instruments and performance systems

Kartic Subrمشاهده پروفایل

مدرس ارشد

• Computer Graphics
• Monte Carlo Rendering
• Physics-based Simulation
• +۱۳ مورد دیگر

Kartic Subr is a Senior Lecturer (equivalent to Associate Professor) in the School of Informatics at the University of Edinburgh, where he conducts research at the intersection of computer graphics, machine learning, and robotics. He is affiliated with the Institute of Perception, Action and Behaviour and leads an active research group in physics-aware simulation and AI for scientific discovery. His research interests span Computer Graphics , Monte Carlo Rendering , Physics-based Simulation , Machine Learning , Robotics , and Computational Biology . He has made significant contributions to rendering theory, light transport analysis, BRDF modeling, and simulation of fluids and fractures. Recently, his group has applied deep learning to protein design, achieving notable success in international competitions. The recent publications reflect a strong trend toward interdisciplinary research, combining computer graphics with AI and biology. Key themes include explainable AI for physics-aware interfaces (e.g., CueTip), neural rendering (NeRF), protein design with CNNs, and reward learning in robotics. His group regularly publishes in top venues such as SIGGRAPH, NeurIPS, and IEEE RA-L. Royal Society University Research Fellowship (2014–2024) Lead, GCRF Impact Accelerator (2019) Lead, EPSRC First Grant (2017) Royal Society Challenge Grant (2016) Royal Society Newton International Fellow (2010) Marie-Curie Visitor (2006) Best Paper Honorable Mention, I3D 2012 Best Paper, I3D 2011 Kartic Subr actively supervises PhD students and postdocs, including Leonardo Castorina, Zhiyuan Zhang, and Kevin Denamganaï. Former students have gone on to positions at DeepMind, University of Edinburgh, and industry. He has secured multiple grants, including from the Royal Society and EPSRC. His research group collaborates across disciplines, particularly with biological sciences on protein design. He leads projects on approximate physics for robotics, protein design via deep learning, and interactive rendering systems. The group has developed frameworks like TIMED for de novo protein design and tools for explainable physics-aware assistants.