Find Academic Supervisors

Sagie BenaimView profile

Assistant Professor

• computer vision
• machine learning
• computer graphics
• +4 more

Sagie Benaim is an Assistant Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem. Previously, he was a postdoctoral researcher at DIKU (Department of Computer Science, University of Copenhagen) working with Professor Serge Belongie and was a member of the Pioneer Center for AI. He completed his PhD at Tel Aviv University in the Deep Learning Lab under the supervision of Professor Lior Wolf. Dr. Benaim's research spans computer vision, machine learning, and computer graphics, with a particular emphasis on generative models, neural signal representations, and inverse graphics. His work explores how disentangled representations can be leveraged to better understand and manipulate visual content. He has made significant contributions to 3D scene manipulation, image-to-video generation, and neural rendering techniques. His recent publications reveal a strong trajectory toward advancing generative AI capabilities, particularly in 3D understanding, multimodal generation, and video synthesis. His research consistently bridges theoretical foundations with practical applications, demonstrating innovation in neural representation manipulation for both creative and analytical purposes. Dr. Benaim is actively seeking excellent students and postdocs to join his research group, indicating his commitment to mentoring the next generation of researchers in computer vision and machine learning. His position at the Hebrew University of Jerusalem places him within a vibrant academic community focused on advancing the frontiers of computer science.

• Computer Science
• Virtual Reality
• Visualization
• +4 more

Bernd Fröhlich is affiliated with the Virtual Reality and Visualization Research Group at Bauhaus-Universität Weimar, Germany. His work focuses on advancing virtual reality (VR), visualization techniques, and human-computer interaction. He leads research in multi-user VR scenarios, immersive telepresence, and collaborative systems. Key areas include group navigation strategies, spatial audio integration, and embodied conversational agents in virtual environments. Education details are not explicitly mentioned in the provided text. His research interests span VR system design, gesture-based interaction, and perception studies within immersive environments. He has collaborated extensively with institutions like Toshiba Research Europe and contributed to projects involving virtual museums, social VR interfaces, and real-time rendering techniques. Fröhlich’s publications emphasize empirical studies on user behavior in VR, such as perception of asynchrony in rhythmic stimuli and detection thresholds of gaze awareness. He has also explored technical challenges like volumetric calibration, ray casting optimization, and multi-resolution volume rendering. His work frequently addresses practical applications in collaborative learning, cultural heritage digitization, and industrial design validation. While no scientific awards or grants are listed here, his prolific publication record (164+ entries) reflects sustained contributions to the field. His research teams often investigate cutting-edge topics like binaural audio effects, immersive analytics tools, and gesture-driven interaction paradigms for large datasets.

• Serious Games
• Digital Cultural Heritage
• Extended Reality (XR)
• +7 more

Vedad Hulusic serves as Associate Professor and Deputy Head of the Creative Technology Department within Bournemouth University's Faculty of Science and Technology. He previously held positions as Assistant Professor at University Sarajevo School of Science and Technology and Post-doctoral Researcher at Télécom ParisTech, and acted as REF 2021 Output Champion for Computer Science and Informatics (UoA11). His academic credentials include: PhD in Engineering, University of Warwick, UK BSc in Computer Science, University of Sarajevo, Bosnia and Herzegovina Hulusic's research spans serious games, digital cultural heritage, XR technologies, assistive technology, and cross-modal interaction. His work bridges computer graphics with real-world applications in education, healthcare, and cultural preservation, emphasizing user-centered design and accessibility. Recent projects focus on multi-user XR for cultural heritage and haptic interfaces for children with disabilities. Analysis of his publication record reveals consistent innovation in XR applications for cultural heritage, with growing emphasis on accessibility and user experience. His work demonstrates strong interdisciplinary collaboration with museums, industry partners, and healthcare institutions, while maintaining technical rigor in image quality assessment and perceptual modeling. His scientific recognition includes: Four international best paper awards (CGVC 2023, EG GCH 2021, EG GCH 2018, ACM SCCG 2008) Innovative Value Award (Kingston University London, 2023) Vice Chancellor Scholarship (University of Warwick, 2007) Hulusic actively mentors PhD candidates including Zhenhao Tian, Ethan Southall, Nicholas Lindfield, and Wenjun Liu, focusing on XR and serious games applications. His funded projects include the HEIF-supported 'Feeling the UNfelt (FUN)' assistive technology initiative and current industry collaboration with Noho Ltd on multi-user XR. He has participated in EU frameworks including V-MusT.net and HDRi projects, demonstrating sustained success in securing competitive research funding. As core member of Bournemouth's Centre for Computer Graphics (CCG) and Studio for Games and Animation Technology (SGAT), he drives collaborative research with cultural institutions and industry partners to advance digital heritage preservation and accessible technology design.

Florian GrondView profile

Assistant Professor

• Spatial and Immersive Audio
• Assistive Technology Design
• Critical Disability Studies
• +6 more

Florian Grond is an Assistant Professor in the Department of Design and Computation Arts within Concordia University's Faculty of Fine Arts. His interdisciplinary work bridges media arts, technology, and disability studies through innovative sonic research. His research focuses on Spatial and Immersive Audio , Assistive Technology Design , and Critical Disability Studies , with significant contributions to auditory display, human-computer interaction, and participatory design methodologies. Grond develops technologies that center disability perspectives, particularly through collaborations with blind scholars and autistic individuals. His publication trends reveal strong specialization in 3D sound recording techniques using Ambisonic microphone arrays Biomusic systems for autism intervention Ethical frameworks for disability technology Artistic sonification practices with recent work advancing brain-computer interfaces and spatial audio reproduction. Grond actively engages in artistic practice through installations like DELAY (collaborating with Mary Sherman and Piet Devos) and has curated disability-focused exhibitions including Hands On! at Concordia's Critical Disability Studies Working Group. His academic trajectory includes postdoctoral research at McGill University's CIRMMT and Shared Reality Lab, where he pioneered 6-degrees-of-freedom sound recording systems. He previously served as research lead for ZYLIA, a VR/AR microphone array company.

• Biometrics
• Computer Vision
• Medical Imaging
• +3 more

Jian He is a Teaching Professor at the School of Mathematics , Monash University, Australia. His research focuses on advancing cross-spectral biometric systems, medical image processing, generative adversarial networks (GANs), and robust machine learning. He has contributed significantly to improving face recognition technologies under challenging conditions such as thermal-to-visible spectrum translation and adversarial attacks. His work includes developing frameworks for medical imaging segmentation, enhancing security in biometric systems, and exploring novel applications in audio-visual synchronization and video generation. Key research themes include: Cross-spectral face recognition and thermal imaging analysis Medical image segmentation and 3D reconstruction Generative models for text-to-image synthesis and video generation Adversarial attacks and defense mechanisms in AI systems His publications demonstrate expertise in integrating deep learning with biometric security, healthcare AI, and computer vision applications. Notable contributions include surveys on cross-spectral recognition and innovations in latent diffusion models for high-quality video synthesis. No scientific awards or grants are explicitly listed in the provided texts. He currently has no recorded advisees, though his research areas suggest potential collaborations in interdisciplinary teams focused on AI and medical imaging.

Krzysztof KrejtzView profile

Professor

• Human-Computer Interaction
• Eye-Tracking Methodologies
• Visual Attention Models
• +3 more

Krzysztof Krejtz is a Professor at Warsaw School of Social Sciences and Humanities, Faculty of Psychology in Warsaw. He serves as Head of both the Eye-Tracking Research Center (OBO) and the Department of Cognitive Psychology, Development and Education. PhD in Psychology (University of Warsaw) Habilitation in Psychology (SWPS University) His research focuses on Human-Computer Interaction through eye-tracking methodologies , exploring visual attention models in multimedia learning and digital accessibility . He pioneered social psychology of the internet in Poland. Articles demonstrate his expertise in media accessibility (subtitling, 3D displays), multimodal education (audio description applications), and visual attention modulation through emotional states. His work spans from statistical eye movement analysis to urban social mapping . He actively contributes to international conferences as ACM ETRA Steering Committee member, guest professor at Ulm University (2017), and workshop leader at institutions like Max-Planck Institute and ETH Zurich.

Helge RhodinView profile

Professor

• 3D Computer Vision
• Machine Learning
• Computer Graphics
• +3 more

Helge Rhodin is a full professor at Bielefeld University (since March 2024) and an affiliate at the University of British Columbia (UBC). His research focuses on advancing 3D computer vision, machine learning, and computer graphics to enable non-intrusive human-computer interaction, particularly in augmented reality (AR) and virtual reality (VR) environments. He previously held positions as an Assistant Professor at UBC, a postdoctoral researcher at EPFL, and a PhD candidate at the Max-Planck-Institute for Informatics under Christian Theobalt. Education & Career: PhD in Computer Science, Max-Planck-Institute for Informatics (2016) Postdoctoral Researcher, EPFL (2016–2020) Assistant Professor, UBC (2020–2024) Full Professor, Bielefeld University (2024–present) Research Interests: Rhodin’s work spans 3D human pose estimation, neural rendering, AR/VR applications, and generative models. Key contributions include real-time motion capture systems (e.g., XNect), self-supervised learning frameworks, and synthetic biomarker development for movement disorders. Publications: His work has been published at top venues like CVPR, ICCV, and SIGGRAPH, with notable achievements like the Best Paper Award at CRV 2023 and an IEEE VR Honorable Mention in 2019. Research trends emphasize human-centric computer vision and interdisciplinary applications in healthcare and sports analytics. Awards & Recognition: Best Paper Award at CRV 2023 IEEE VR Best Journal Paper Honorable Mention (2019) Advising & Labs: He leads a multidisciplinary team at Bielefeld, previously mentoring over 30 students at UBC. His group focuses on developing open-source tools and frameworks for 3D vision and AR. Current research directions include mirror-aware neural humans and scalable neural rendering techniques.

• Virtual Reality Applications
• Human-Computer Interaction
• Medical Technology
• +3 more

Margarita Vinnikov is an Assistant Professor in the Department of Informatics at the New Jersey Institute of Technology (NJIT), part of the College of Computing Sciences. Her research focuses on immersive technologies such as Virtual Reality (VR) and Augmented Reality (AR), with applications in medical assistance, education, and human-computer interaction. She explores topics including gaze-contingent displays, visual fatigue mitigation, and the integration of VR into surgical training and K-12 education. Her work emphasizes user-centered design principles and interdisciplinary collaboration. Notable collaborations include studies on AR surgery assistance using HoloLens and VR-based ontology systems for biomedical education. Her research has been featured in media coverage related to VR crime scene technology, forensic conferences, and AI in education. Key research interests include improving spatial attention through multimodal displays, optimizing visual comfort in head-mounted devices, and leveraging VR for cognitive learning efficiency. Recent projects highlight the application of VR in teaching binary counting to middle school students and analyzing urban devotion through gaze-tracking studies. Vinnikov has advised undergraduate projects on interdisciplinary VR development and contributed to courses like IT 485: Cross Reality (XR) Design. Her work frequently intersects with medical technology, such as AR anatomical visualization for surgical support, and human factors engineering, including studies on quadcopter piloting latency effects.

• Machine Learning
• Computer Vision
• Multimodal GenAI
• +3 more

Xiatian Zhu is a Senior Lecturer at the University of Surrey's Faculty of Engineering and Physical Sciences, affiliated with the Surrey Institute for People-Centred AI and the Centre for Vision, Speech and Signal Processing (CVSSP). He holds a PhD from London and is a Fellow of the Higher Education Academy (FHEA). His research focuses on scalable machine learning, including self-supervised learning, multimodal GenAI, and computer vision applications for autonomous systems. Dr. Zhu's research interests span machine learning, computer vision, and multimodal generative AI, with emphasis on autonomous driving, 3D object detection, and domain adaptation. His work integrates vision-language models for open-set recognition and leverages novel neural architectures for real-time applications. His publications demonstrate a strong focus on autonomous driving perception, 3D generative modeling, and domain-agnostic AI. Key trends include multi-sensor fusion, self-supervised representation learning, and computationally efficient transformers. Recent works also explore audio-visual synthesis and adversarial robustness. Awards: 2016 Sullivan Doctoral Thesis Prize (Best UK Computer Vision Doctoral Thesis) He leads the X-Up Lab and collaborates extensively on grants related to AI safety, efficient 3D generation, and multimodal systems. His team focuses on real-world applications in intelligent transportation and human-centred AI.

Andrew GilbertView profile

Associate Professor

• Computer Vision
• Machine Learning
• Generative Modelling
• +6 more

Dr. Andrew Gilbert is an Associate Professor in Machine Learning at the University of Surrey, co-leading the Centre for Creative Arts and Technologies (C-CATS). His work bridges computer vision, generative AI, and creative industries, focusing on interpretable and human-centered systems. He leads a multidisciplinary team of 17 PhD students and has published over 100 papers in top venues like CVPR, ECCV, and BMVC. Education & Research: Gilbert earned his PhD in Computer Vision from the University of Surrey (2008) and has pioneered advancements in video understanding, style modeling, and AI-driven media production. His research integrates technical innovation with creative applications, such as AI-generated narratives and blockchain-based content rights. Research Trends: Recent work emphasizes long-term video analysis (DANTE-AD), motion-focused self-supervision (MOFO), and human-AI benchmarking (Human vs. Machine Minds). His projects often involve industry partnerships to address real-world challenges in media production and digital arts. Achievements: Best Paper at CVMP 2023, active BMVA committee member, and contributor to standards in explainable AI. His lab’s annual Gilbertine Weekend Away fosters collaborative research culture. Advising: Supervised 14 PhD completions, with ongoing projects in video diffusion models, decentralized content rights, and multimodal scene understanding. Seeks exceptional candidates for funded UK-based PhD opportunities. Key Labs: C-CATS lab explores AI’s creative applications, while his group develops tools for style transfer (NeAT), action recognition, and 3D performance capture.

• Audio Engineering
• Room Acoustics
• Spatial Audio
• +3 more

Nils Daniel Meyer-Kahlen is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering in Espoo, Finland. Affiliated with the Virtual Acoustics research group and Aalto Acoustics Lab, his work bridges theoretical audio engineering with practical virtual reality applications through cutting-edge spatial audio research. His research focuses on room acoustics modeling, binaural rendering, and perceptual evaluation in virtual environments. Key interests include blind estimation of acoustic parameters, machine learning applications for audio synthesis, and the development of transfer-plausible audio for augmented reality. He investigates how humans perceive spatial audio cues and develops methods to improve authenticity in mixed reality through psychoacoustic validation. Recent publications reveal strong trends in deep learning for room impulse response generation, novel reverberation techniques like Dark Velvet Noise, and perceptual evaluation frameworks. His work consistently addresses virtual reality audio challenges including motion-to-sound latency, room transition rendering, and the impact of early reflections on spatial perception. As part of Aalto's Acoustics Lab team, Dr. Meyer-Kahlen contributes to Finland's leading spatial audio research hub known for chamber music hall studies, sauna acoustics exploration, and open dataset creation like the multi-room transition energy decay collection. The lab maintains strong industry collaborations while advancing fundamental audio science.

Dan XuView profile

Researcher

• Computer Vision
• Machine Learning
• Deep Learning
• +8 more

Dr. Dan Xu is a Postdoctoral Researcher at the Visual Geometry Group (VGG) within the Department of Engineering Science at the University of Oxford. His research focuses on computer vision, machine learning, and deep learning, particularly for 2D/3D scene understanding tasks including depth estimation, object detection, and image generation. Ph.D. in Computer Science (2018), University of Trento Research Assistant, Chinese University of Hong Kong Dr. Xu's research spans computer vision and deep learning , with specific interests in scene depth prediction , visual SLAM , object contour detection , and generative adversarial networks . Recent work explores 3D Gaussian splatting , diffusion models , and multi-task learning . Key research trends include 3D scene reconstruction , controllable video generation , and multi-modal alignment . His publications emphasize neural radiance fields , attention mechanisms , and generative models for advanced visual tasks. Best Paper Award Nominee at ACM Multimedia 2018 Best Scientific Paper Award at ICPR 2016 Student Travel Grant (SIGMM/ACM Multimedia 2016) Dr. Xu contributes to open-source projects and provides training/testing code for his research. He actively reviews for premier journals and conferences including CVPR , NeurIPS , and TPAMI .

Sergio CanazzaView profile

Associate Professor

• Expressive Information Processing
• Auditory Displays
• Musical Cultural Heritage Preservation
• +7 more

Sergio Canazza is an Associate Professor at the Department of Information Engineering , University of Padova, Italy. He holds key roles in academic leadership as advisory editor for the Journal of New Music Research and as founder of the Sound and Music Processing Lab . His work bridges music technology , audio restoration , and cultural heritage preservation . Degree in Electronic Engineering, University of Padova CEO, AudioInnova (University spin-off) Research Interests : Expressive information processing in music Auditory displays and cross-modal interaction Preservation of musical cultural heritage Interactive multimedia systems for education AI-driven audio restoration Digital philology for time-based media Scientific Contributions span 20+ years of European/National projects and 200+ publications. His recent work focuses on: Generative AI for IoT sound communication Standardization of audio preservation (ARP technology) Reactivation of historical computer music systems Visual anomaly detection in audio tapes Interactive environments for music education 3D reconstruction of ancient instruments Awards : StartCup Veneto 2010 (Sound and Music Lab) StartCup Veneto 2012 (TechnoTale project) Start Cup 2006 (ARCHIMEDES project) Leadership Roles : Project Manager, EU Culture Program Director, University of Padova's Multimedia Center (2013-2016) Owner of audio preservation patents

• Robotics
• Virtual Reality
• Haptics
• +10 more

Shin'ichi Warisawa is a prominent researcher at the University of Tokyo's School of Engineering, Department of Computer Science, specializing in robotics, virtual reality (VR), and multisensory feedback systems. His work bridges human perception and technological innovation, with recent projects focusing on haptic and thermal feedback in VR, stress monitoring, and robotic systems for surgical and agricultural applications. Over his career, he has collaborated extensively with colleagues like Yuki Ban, Rui Fukui, and Juro Hosoi. His research interests span robotics, virtual reality, haptics, human-computer interaction, and biomedical engineering. Key contributions include developing novel VR haptic devices (FurAir, VWind), stress detection systems using physiological signals, and modular rail structures for hazardous environments (Rail DRAGON). He has also explored pseudo-haptic weight perception, vocal agency in VR, and olfactory simulation techniques. Recent publications highlight advancements in cross-modal sensory integration, with 16 articles in 2024 and 16 in 2025. These works emphasize VR applications for emotional and physiological user experiences, including wind sensation replication, paranormal visual phenomena, and vocal stress reduction systems. His 2023-2025 studies on WearSway and volumetric fur stroking showcase cutting-edge wearable haptics and visuo-haptic modeling. Warisawa's collaborative projects span surgical robotics (remote ultrasound systems), agricultural automation (tomato volume estimation robots), and neurosurgical tools. While no explicit awards are listed, his prolific output in top venues like IEEE Robotics and Automation Letters, Frontiers in Virtual Reality, and SIGGRAPH Asia Emerging Technologies underscores sustained impact. His work with institutions across Japan and internationally demonstrates multidisciplinary engagement in teleoperation, sensory engineering, and affective computing.

• Computer Vision
• Machine Learning
• Healthcare
• +5 more

Dr. Jianbo Jiao is an Associate Professor in the School of Computer Science at the University of Birmingham , leading the Machine Intelligence + x (MIx) group . He holds a PhD in Computer Science from City University of Hong Kong (Hong Kong PhD Fellowship Scheme) and an MSc from Peking University. He was a visiting scholar at the University of Illinois at Urbana-Champaign and a postdoctoral researcher in the Biomedical Image Analysis (BioMedIA) group and Visual Geometry Group (VGG) at the University of Oxford. Research Focus: Computer Vision, Machine Learning, Medical Imaging, AI for Science Key Themes: Learning from limited supervision (self-supervised, weakly-supervised), multi-modal data analysis (vision-audio-text-chemical spectra), open-world problems (incremental learning, open-vocabulary segmentation), 3D scene understanding Awards & Recognition: Amazon Research Award (2024) Royal Society Short Industry Fellowship (2023) Best Paper Awards at MICAD 2024 and MICCAI 2024 ASMUS Workshop Outstanding Reviewer Awards from CVPR, ECCV, ICCV, NeurIPS, and MICCAI Fellow of the Higher Education Academy (FHEA) Community Contributions: Area Chair for NeurIPS 2025, ACM MM 2025, and ICLR 2025; Senior Program Committee member for IJCAI 2021; Editorial roles at IEEE T-CSVT, Springer The Visual Computer, and TMLR. Collaborations & Labs: Works with Oxford's BioMedIA and VGG groups, Meta Project Aria, and leads the MIx group at Birmingham, which focuses on open-world AI, 3D modeling, and cross-modal healthcare applications.