Find Academic Supervisors

Feras DayoubView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +2 more

Dr. Feras Dayoub is a Senior Lecturer and Chief Investigator at the QUT Centre for Robotics (QCR) , where he co-leads the Visual Learning and Understanding program. He previously served as Chief Investigator at the ARC Centre of Excellence for Robotic Vision (2016-2020) and holds a PhD in Robotics and Computer Vision from the University of Lincoln. Research Focus: Deploying computer vision and machine learning for real-world mobile robotics applications, including autonomous weed control (CRC-P), vision-enabled underwater robots for reef protection (COTSbot/RangerBot), and UAV-based infrastructure inspection. Teaching: Coordinates advanced robotics topics (EGB439) and teaches microprocessor systems (CAB202). His recent publications focus on uncertainty quantification in robotic vision, open-set recognition, and performance monitoring of deployed models. His work has been recognized with multiple awards from the Australian Centre for Robotic Vision and a Google Impact Challenge popular vote award. 2023: Hyperdimensional Feature Fusion for Out-of-Distribution Detection 2023: Class Distribution Shift Prediction for Domain Adaptation 2022: Uncertainty for Open-Set Error Identification 2022: FSNet for Semantic Segmentation Failure Detection Awards include: 2020: ACRV Best-Profile Raising Event 2019: QUT STEM Camp Certificate of Appreciation 2016: Google Impact Challenge People's Choice Award 2015: QUT Vice Chancellor's Performance Award As supervisor, he guides projects on robotic object detection, cross-view localization, and continues to advance visual learning methodologies for real-world autonomous systems.

• Computer Vision
• Robotics
• 3D Reconstruction
• +5 more

Thomas Läbe is a Researcher in the Department of Photogrammetry at the University of Bonn's Institute of Geodesy and Geoinformation. His roles include technical associate and software developer, with a focus on advancing robotics, computer vision, and agricultural automation. He holds a diploma in computer science (Dipl.-Inform. (FH)) from Cologne University of Applied Sciences (1994). His research spans image processing, bundle adjustment, visual odometry, and camera calibration, with notable contributions to SLAM (Simultaneous Localization and Mapping) for autonomous systems. Education: 1994: Dipl.-Inform. (FH) in Computer Science, Cologne University of Applied Sciences Research Interests: Focuses on integrating vision-based technologies into robotics for precision agriculture, 3D reconstruction, and robust localization in dynamic environments. His work addresses challenges in sensor calibration, panoptic segmentation, and semantic mapping for autonomous systems operating in agricultural and urban settings. Publications Trends: Recent work emphasizes agricultural robotics, including fruit completion, plant phenotyping, and robust localization under changing conditions. Key themes include LiDAR-based localization, semantic occupancy prediction, and end-to-end learning for 3D representations. Awards: 2001 Hansa Luftbild Price (Best PFG paper award, shared) Technical Contributions: Developed software frameworks for bundle adjustment, multi-camera systems, and obstacle detection. Collaborated on projects like the Phenoliner field phenotyping platform and UAV-based environmental monitoring systems. Labs/Teams: Active in the Photogrammetry professorship group, contributing to the PRBonn (Perception, Robotics & Bonn) robotics initiatives, with open-source tools like OverlapNet and PAg-NeRF for 3D perception.

Matthew ButlerView profile

Associate Professor

• Inclusive Technologies
• Accessible Graphics
• Assistive Technologies
• +4 more

Matthew Butler is an Associate Professor in the Department of Human-Centred Computing at Monash University's Faculty of Information Technology. His research focuses on Inclusive Technologies , particularly improving access to visual information for people who are blind or have low vision (BLV) through innovations like 3D printing, conversational agents, and multisensory interfaces. He has over 20 years of academic experience and held leadership roles including Deputy Dean (Education) and Associate Dean (Learning and Teaching). Education: PhD in Computing Education (Monash University, 2010) Graduate Certificate of Higher Education (Monash University, 2006) Bachelor of Engineering (Electronic and Computer Engineering, Monash University, 1996) Research Interests: Matthew’s work emphasizes participatory design with the BLV community, addressing challenges in data exploration, orientation/mobility, arts/culture access, and education . Key projects include accessible data visualization systems, inclusive museum experiences, and tactile navigation tools. His contributions align with UN Sustainable Development Goals related to education and disability inclusion. Grants & Projects: Accessible Data Exploration and Analysis for Blind People (Australian Research Council, 2023–2027) Inclusive Gallery Experiences: Bendigo Art Gallery Project (Helen Macpherson Smith Trust, 2019–2022) Co-leads the Monash Assistive Technology and Society Centre’s Education Pillar Awards: Senior Fellow of the Higher Education Academy Labs/Teams: Active contributor to Monash’s Assistive Technology and Society research initiatives, focusing on multisensory design for disability inclusion.

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +7 more

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

Isabella Anderson-WagnerView profile

Assistant Professor

• Neuroscience
• Cognitive Science
• Microbiome Studies
• +3 more

Isabella Anderson-Wagner is an Assistant Professor at the University of Vienna, affiliated with the Faculty of Psychology and the Centre for Microbiology and Environmental Systems Science (CeMESS). Her work focuses on the intersection of brain function, cognition, and gut microbiome interactions, with an emphasis on neural plasticity, learning, and memory formation. She uses advanced neuroimaging techniques like MRI and spectroscopy to explore these processes. Research Interests: Her research investigates how the gut microbiome influences neural plasticity and memory, particularly through studies involving humans and comparative analyses with animals like dogs. Key areas include stress effects on prosocial behavior, the role of microbiome in neurodegenerative risks (e.g., dementia), and the development of mnemonic training strategies like the method of loci. Funding & Awards: She has received prestigious grants, including the Cortex Prize (2023), Young Investigator Grant (Brain & Behaviour Research Foundation, 2023), and Veni Grant (Dutch Research Council, 2020). Her work is funded by projects such as MemoryLane (2025–2030) and The Social Grid (2021–2024). Labs & Teams: Her lab is part of the Vienna Cognitive Science Hub, focusing on interdisciplinary approaches to cognitive and microbial neuroscience. Collaborations span institutions globally, with studies on topics like microbiome-brain interactions and canine cognition.

Mitchell PryorView profile

Research Professor

• Robotics
• Automation
• Nuclear Engineering
• +4 more

Mitchell Pryor is a Research Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin. He specializes in applied robotics and automation, particularly in hazardous environments such as nuclear facilities, energy sectors, and defense applications. Pryor earned his BSME from Southern Methodist University (1993), followed by an MS (1999) and PhD (2002) in Mechanical Engineering from UT Austin. His research focuses on robotics for hazardous environments, including nuclear waste management, autonomous systems, and human-robot collaboration. He leads the Nuclear & Applied Robotics Group (NRG) and co-founded RAPID, an industry affiliate program supporting automation in energy sectors. His work spans robotics in extreme environments, augmented reality interfaces, and task planning frameworks. Key collaborations include Army Futures Command (AFC), NASA, DARPA, and DOE national labs such as INL, LANL, and ORNL. Pryor’s contributions include developing the TeMoto software framework for robotic autonomy, virtual fixture systems, and radiation surveying methodologies. He chairs the ANS Robotics & Remote Systems Division and actively participates in IEEE, ASME, and other professional societies. His research emphasizes interdisciplinary approaches to deploy robotics in complex, uncertain environments for tasks like material handling, mobile manipulation, and environmental monitoring. Notable projects include AR-STAR for real-time robot data modification, MaRMOT for object tracking, and TeMoto 2.0 for task execution formalisms. His work bridges theoretical robotics with practical applications in nuclear safety, energy infrastructure, and defense systems.

Luis Velez QuinteroView profile

Assistant Professor

• Data Science
• Extended Reality (XR)
• Machine Learning
• +4 more

Luis Velez Quintero is an Assistant Professor at Stockholm University within the Department of Computer and Systems Sciences (DSV) . He is affiliated with the Data Science Research Group and the Stockholm Technology & Interaction Research (STIR) group, focusing on Human–Computer Interaction. His research spans adaptive immersive systems, affective computing, and physiological signal analysis in extended reality (XR) environments. Education & Background : Holds a PhD in Computer and Systems Sciences from Stockholm University (2023), MSc in Health Informatics from Karolinska Institutet (2019), and BSc in Electronics Engineering from the National University of Colombia (2015). He has led the startup PortalSense since 2018, developing VR solutions for real estate visualization. Research Interests : Combines data science and ML with XR technologies to create context-aware systems for healthcare, education, and professional training. Key themes include: Adaptive VR/AR systems using real-time physiological and behavioral signals Biosignal integration for personalized user experiences Immersive technologies for cognitive assessment and skill development Publications : Over 20 peer-reviewed articles, including work on affective databases (AVDOS-VR), biosignal frameworks (Excite-O-Meter), and XR applications in cybersecurity education. Recent efforts explore third-person locomotion in VR and early-stage Alzheimer’s detection via spatial navigation tasks. Awards & Grants : Wallenberg Foundation Grant (2023-2025): Analyzing non-verbal communication in psychotherapy Swedish Institute Scholarship (2017-2019): Fully funded Master’s and PhD studies Seed funding for PortalSense from Fondo Emprender SENA Colombia (2022-2023) Advising & Projects : Lead researcher in projects like AVDOS-VR and CS:NO . Co-designed the Excite-O-Meter open-source plugin for real-time physiological analysis in VR. Active in industry collaborations for scalable health interventions and immersive training systems. Labs & Teams : Collaborates with multidisciplinary teams at STIR and DSV, advancing human-centered AI and adaptive XR technologies.

Thor I. FossenView profile

Professor

• Guidance, Navigation, and Control (GNC)
• Marine Hydrodynamics
• Inertial Navigation Systems
• +7 more

Thor I. Fossen is a Professor of Guidance, Navigation, and Control at the Norwegian University of Science and Technology (NTNU), Department of Engineering Cybernetics. He holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His research focuses on marine craft hydrodynamics, autonomous systems, inertial navigation, and cybersecurity of control systems. He is an IEEE Fellow and has authored influential textbooks such as the Handbook of Marine Craft Hydrodynamics and Motion Control . **Education**: PhD Eng. Cybernetics, MSc Marine Technology. **Research Interests**: Development of guidance, navigation, and control (GNC) systems for marine and aerial vehicles; cybersecurity for autonomous systems; inertial navigation algorithms; and robotics. Notable contributions include the Marine Systems Simulator (MSS), a widely used MATLAB/Simulink toolbox for vehicle control design. **Recent Trends in Publications**: Focus on autonomous surface/underwater vehicles, adaptive guidance laws, cyber-resilient navigation, and sensor fusion techniques. His work bridges theory and practice, with experimental validations on real systems. **Awards**: Automatica Prize Paper Award (2002), Arch T. Colwell Merit Paper Award (2008), IEEE Fellow (2020+). **Grants & Labs**: Co-founder of Marine Cybernetics AS and ScoutDI AS. Lead developer of MSS software. Active in collaborative projects involving dynamic positioning, wave filters, and cyber-physical systems security.

Dominique BechmannView profile

Professor

• Computer Graphics
• Geometric Modeling
• 3-D Interaction in Virtual Reality
• +3 more

Dominique Bechmann is a **Professor of Computer Science** at the University of Strasbourg, affiliated with the **Department of Computer Science** within the **Sciences Collegium**. He is also a researcher at the **ICube Lab** (UMR 7357 CNRS-University of Strasbourg). His academic career spans over three decades, including roles as Head of the IGG Computer Graphics and Geometry research group (1997–2022) and Head of the National Research Group GdR IG-RV (2014–2021). He holds a Habilitation (1995) and PhD (1989) from the University of Strasbourg, with postdoctoral research at IBM's Thomas Watson Research Center (1989–1990). His research focuses on **Computer Graphics**, **Geometric Modeling**, and **Virtual Reality**, with key contributions in free-form deformation, 3D modeling of anatomical structures, and interaction techniques in immersive environments. He has led projects like the ICT-Asian initiative on Virtual Reality (2004–2007) and organized conferences such as AFRV 2012 and AFIG-EG France 2005. His teaching spans undergraduate and graduate levels in algorithms, computer graphics, and computational geometry. Bechmann has held numerous leadership roles, including Head of the Computer Science Department (1997–2000), Vice-Head of LSIIT Lab (2009–2012), and member of the National Commission of Universities (CNU) section 27 (2007–2011). His work bridges theoretical computer graphics with practical applications in medicine, architecture, and collaborative systems.

• Queer Anthropology
• Gender and Queer Studies
• Anthropology of Care
• +6 more

Sascha Sistenich is a Research Associate and Confidant at the University of Bonn's Institute of Archaeology and Cultural Anthropology, Department of Empirical Cultural Studies and Cultural Anthropology. He is currently completing his doctoral research on queer care practices, prefigurations of solidarity, and resistant coexistence models. His academic journey includes studies in Transcultural Studies/Cultural Anthropology and Multilingual Communication at TH Köln, Universidad de Granada (2014-2018), and the University of Bonn (2018-2021). His research interests span Queer Anthropology, Gender and Queer Studies, Anthropology of Care & Solidarity Research, Anthropology of the Future/Utopia Research, Social Movement Research, and Activist/Solidarity Ethnography. His current doctoral project, 'Between political activism and everyday practice: Prefigurations of queer solidarity-caring coexistence,' examines how queer people prefigure ideas of care and solidarity in their everyday lives through activist ethnography. Sistenich's publications reveal a strong focus on queer perspectives, care practices, and gender diversity. His work demonstrates how queer communities develop alternative kinship structures ('chosen families'), create solidarity networks, and develop resistant care practices that challenge normative social structures. His research shows particular attention to how marginalized communities navigate systemic discrimination while building transformative social arrangements. Maria von Linden Prize 2023 for outstanding commitment to equality in research and teaching at the University of Bonn Sistenich serves as Spokesperson for the Structured Doctoral Program of the Faculty of Philosophy and Spokesperson of the working group 'Gender, Sexualities and Queer Anthropology' at the University of Bonn. He is also Speaker of the Research Colloquium Gender and Diversity. His institutional affiliations include membership in the German Society for Empirical Cultural Studies, International Society for Ethnology and Folklore, and several Transdisciplinary Research Areas at the University of Bonn. His teaching portfolio includes courses on empirical methods in cultural anthropology, project seminars, and scientific writing, reflecting his dual role as researcher and educator committed to engaged scholarship.

Jae Hee LeeView profile

Research Fellow

• Multimodal Language Models
• Explainable AI
• Neuro-Symbolic AI
• +4 more

Dr. Jae Hee Lee is a postdoctoral researcher in the Knowledge Technology Group at the University of Hamburg, holding a PhD in Computer Science from the University of Bremen. His research focuses on multimodal language models, explainable AI, and neuro-symbolic integration to enhance model robustness and generalization. Previously, he specialized in spatio-temporal reasoning and multiagent systems, supported by grants like the Feodor Lynen Fellowship (2016–2017). He is an associate editor of AI Communications and co-organizes the International Workshop on Spatio-Temporal Reasoning and Learning. His recent work includes projects like LUMO (DFG-funded, 2025–2029), exploring lifelong multimodal learning through compositional knowledge. Lee advises multiple students, including Björn Plüster, developer of the LeoLM German LLM. Key research interests span explainable vision-language models, causal reinforcement learning, and concept-based explanations. He frequently serves on program committees for AI/NLP conferences (e.g., IJCAI, COLING) and organizes reading groups on LLM/XAI topics.

Simon BultmannView profile

Researcher

• Collaborative Perception
• Sensor Fusion
• Robot Perception
• +4 more

Dr. Simon Bultmann is currently a Postdoctoral Researcher at the Robot Learning Lab, Albert-Ludwigs-Universität Freiburg. Previously, he completed his Ph.D. in the Autonomous Intelligent Systems Group at the University of Bonn (2019–2024) and earned his M.Sc. and B.Sc. in Electrical Engineering and Information Technology from Karlsruhe Institute of Technology (KIT, 2012–2018). His research focuses on collaborative perception, sensor fusion, and machine learning for embedded systems ("Smart Edge Sensors"). Key applications include real-time multi-modal semantic fusion, 3D scene perception, and autonomous UAVs. Awards: Best Paper Award at IEEE SSRR 2020 Finalist for Best Paper Award at RoboCup 2021 His work spans robotics, computer vision, and distributed systems, with contributions to international conferences like ICRA, RSS, and IAS. He has also been involved in competitions such as MBZIRC, demonstrating autonomous UAV capabilities in disaster response scenarios.

• Medical Imaging
• Biomedical Engineering
• Computer-Assisted Surgery
• +3 more

Tamas Ungi is a Research Associate and Adjunct Assistant Professor at Queen's University, focusing on medical imaging, computer-assisted surgery, and biomedical engineering. His work bridges artificial intelligence applications with clinical needs in oncology, urology, and surgical education. Queen's University His research interests center on: 3D ultrasound imaging Surgical navigation systems Machine learning for medical diagnostics Tumor margin assessment Surgical skill evaluation Image-guided interventions Recent publications highlight advancements in radiation-free pediatric scoliosis assessment, AI-driven surgical evaluation metrics, and real-time ultrasound segmentation for breast-conserving surgery. He also explores electromagnetic tracking systems and NURBS-based surgical planning tools.

Michele LanzaView profile

Professor

• Software Engineering
• Software Visualization
• Software Evolution
• +7 more

Michele Lanza is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), Lugano, where he co-founded the faculty in 2004. He is the founder and director of the Software Institute (since 2017) and leads the REVEAL research group, focusing on software visualization, evolution, and analytics. He holds a PhD from the University of Bern (2003), where he also earned his MSc (1999), and was a postdoctoral researcher at the University of Zurich. Research Interests: Software Engineering Software Visualization (notably the 'City Metaphor') Mining Software Repositories (MSR) Software Evolution and Analytics Program Comprehension Reverse Engineering and Architecture Recovery His recent publications (2023–2025) emphasize immersive software visualization in virtual reality, automated documentation, code refactoring, and empirical studies on developer behavior and documentation. There is a strong trend toward human-centric, visual, and data-driven approaches, often leveraging VR and interactive tools for deeper software understanding. Scientific Awards: Ernst Denert Award (2003) Credit Suisse Teaching Award (2007, 2009) Best Paper Awards (SANER 2024, VISSOFT 2022, ICPC 2016) Most Influential Paper Award (MSR 2010) Advising and Grants: Prof. Lanza has supervised over 13 PhD students and numerous MSc and BSc theses, fostering a vibrant research group. He leads multiple funded projects, including SNF grants (FORCE, TUML, INSTINCT, PROBE, ESSENTIALS, BIGDATA), FFL (CSRD), and industry R&D initiatives. Funding supports travel, hardware, software, and PhD positions, enabling cutting-edge research in software engineering. Labs and Teams: He leads the REVEAL research group and the Software Institute at USI, which serve as hubs for innovation in software visualization, mining, and evolution. These teams are highly collaborative, interdisciplinary, and active in top-tier conferences (ICSE, FSE, ICSME, MSR, VISSOFT).

Ahalya RavendranView profile

Research Fellow

• Computer Vision
• Artificial Intelligence
• Robotics
• +3 more

Dr. Ahalya Ravendran is a Research Fellow at Data61 , Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Her work focuses on advancing computer vision , artificial intelligence , and distributed sensing for robotics, particularly in light-constrained environments. She previously held a postdoctoral position at the University of Sydney in collaboration with SCION, a New Zealand Crown Research Institute. PhD in Engineering and Information Technology (2023), University of Sydney Master's (Thailand), Bachelor's in Mechatronics Engineering (Sri Lanka) Her research spans robotic vision , 3D reconstruction , and burst imaging techniques. Recent publications highlight applications in low-light navigation , deep learning domain adaptation , and AI for forestry innovations . Scientific accolades include: IEEE Young Professional Fellowship (2023) Career Advancement Award (University of Sydney, 2023) Engineering and Information Technologies Research Scholarship (2019-2023) Dr. Ravendran actively advocates for women in technology as a WomenTechMaker Ambassador . Her interdisciplinary approach connects robotics , climate innovations , and sustainable technology .