Find Academic Supervisors

• Medical Imaging
• Artificial Intelligence
• Image Processing
• +5 more

Prof. Jérôme Schmid is a Professor at the Geneva School of Health Sciences (Haute école de santé - Genève) in the Department of Medical Radiology Techniques. He specializes in medical image processing, artificial intelligence applications in healthcare, and computer-aided diagnosis systems. His work focuses on improving diagnostic accuracy through machine learning, deformable models, and multimodal imaging fusion. Education includes a Master of Science (MSc) in Health Sciences from HES-SO/UNIL and a Bachelor of Science (BSc) in Medical Radiology Techniques from HES-SO. He also contributed to advanced education programs in 3D technologies in orthopedics and sports medicine through collaborations with the Geneva University Medical Faculty. Research interests revolve around AI-driven medical imaging analysis, specifically in breast lesion detection via MRI, Parkinson's disease diagnosis through SPECT imaging, and fracture recognition in radiographs. He leads projects addressing global healthcare challenges such as affordable imaging systems for low-resource countries and AI integration into radiology education through platforms like AIRx and ImmeRgaMe. Current projects (2022-2025) include DeepDAT (AI for Parkinson's diagnosis using SPECT) and SUBREAM (ultrafast breast MRI protocols). Completed projects span hip arthroplasty planning (MyHip), thermal-tolerant X-ray detectors, and FAI impingement modeling. His work is funded by Swiss National Science Foundation, Innosuisse, and private sector partnerships. Publications span 2015-2025, focusing on image segmentation, AI integration in diagnosis, and medical education innovations. He collaborates with academic partners like Hôpitaux Universitaires de Genève and industry leaders such as Medacta International.

• Mobility
• Transport Telematics
• Road Safety
• +4 more

Marc-Antoine Fénart is a Full Professor at HES-SO University of Applied Sciences Western Switzerland and Head of the Skills Center at the Fribourg School of Engineering and Architecture. He specializes in mobility systems, transport telematics, road safety, automated vehicles, and infrastructure management. His research focuses on integrating digital technologies into transportation systems, optimizing infrastructure use, and enhancing safety through innovative solutions like teleoperated vehicles and smart infrastructure design. Education: BSc in Civil Engineering (Fribourg School of Engineering and Architecture) MSc in Engineering (HES-SO Master) Research Interests: His work bridges civil engineering and digital innovation, addressing challenges in automated vehicle systems, road infrastructure optimization, and sustainable urban planning. Key projects include the GREENum initiative for digitalizing public space planning and the NPR teleoperation project for autonomous vehicles. Grants & Projects: GREENum (SLL-PR funded): Digital tool for optimizing urban spaces (2022) NPR Teleoperation (NPR funded): Centralized teleoperation systems (2020–2021) Weigh-in-Motion Studies: Multiple projects analyzing traffic loads and infrastructure impacts Awards & Recognition: None explicitly stated, but his work on automated vehicles and infrastructure management has garnered significant industry attention. Labs & Teams: Leads the Skills Center and collaborates with institutions like the Swiss Federal Roads Office (ASTRA) and the iTEC Institute.

• Computer Vision
• Machine Learning
• Optical Character Recognition (OCR)
• +3 more

Zayene Oussama is a Researcher at the HES-SO University of Applied Sciences and Arts Western Switzerland, affiliated with the Fribourg School of Engineering and Architecture and the Institute of Complex Systems (iCoSys). His work focuses on advancing video text detection, recognition, and OCR systems with a specialization in Arabic script challenges. He has contributed to the development of the AcTiV dataset and associated tools, widely used in international competitions like ICPR and ICDAR. Completed the 'Video Protector Smart AID' project (2021), integrating vision-based surveillance systems Collaborated with Morphean SA on intelligent video analysis PhD thesis (2018) developed novel Arabic text detection/recognition methods using deep learning Research interests include: Arabic text processing in videos Computer vision applications Machine learning for OCR Dataset standardization Recent work (2025) explores truck classification via YOLOv5 and evaluates Vision-Language Models for critical tasks.

• Machine Learning
• Adversarial Machine Learning
• Computer Vision
• +4 more

Elias Abad Rocamora is a Researcher and Doctoral Assistant at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Laboratory for Information and Inference Systems (LIONS) under the Institute of Electrical Engineering (IEM) within the School of Engineering (STI) . He is concurrently pursuing a Doctoral Program in Electrical Engineering through EPFL's Doctoral School of Engineering (EDoc-EDEE). His research focuses on adversarial machine learning, robustness certification, and efficient neural network architectures. Key areas include adversarial attacks against vision-language models, certified defenses under bounded perturbations, and regularization techniques to prevent catastrophic overfitting. His work also extends to 3D pointcloud processing using graph-based methods and formal verification of polynomial networks. Rocamora has contributed to cutting-edge research in AI safety, language model security, and geometric deep learning. His recent work emphasizes dual-domain robustness in multimodal models and efficient single-pass detection mechanisms for LLM jailbreaking inputs. Articles span cybersecurity applications, optimization strategies, and foundational aspects of model robustness. No scientific awards are currently listed. He collaborates actively within the LIONS lab, focusing on interdisciplinary projects at the intersection of electrical engineering and computer science.

Zhengqing WuView profile

Researcher

• Machine Learning
• Robotics
• Neural Networks
• +3 more

Zhengqing Wu is a Doctoral Assistant and Student at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Laboratory for Information and Inference Systems (LIONS) under the Institute of Electrical Engineering (IEM) within the School of Engineering . Their research focuses on machine learning, robotics, quantum computing, and control systems, with notable contributions to neural network optimization, terrain-aware robotics, and quantum parameter-efficient fine-tuning. They are part of the Doctoral Program in Computer and Communication Sciences (EDIC). Key research interests include layer-wise quantization in neural networks, analysis of shallow ReLU networks' loss landscapes, and developing terrain-aware control systems for quadrupedal robots. Their work bridges theoretical insights (e.g., neural noise dynamics) with applied robotics and quantum computing advancements. Education: Doctoral Program in Computer and Communication Sciences (EDIC), EPFL Affiliations: LIONS Lab, EPFL No scientific awards are explicitly mentioned in the provided texts. Their advising and grant activities are not detailed here. The LIONS Lab focuses on information theory, signal processing, and machine learning applications.

• Medical Robotics
• Magnetic Actuation Systems
• Soft Robotics
• +3 more

Salvador Pane is a Professor at ETH Zurich's Department of Mechanical and Process Engineering within the Institute of Robotics and Intelligent Systems. His research focuses on developing advanced medical robotics systems, particularly magnetic navigation technologies for minimally invasive procedures. His research expertise spans Medical Robotics , Magnetic Actuation Systems , and Shape Memory Polymers , with emphasis on targeted drug delivery, catheter navigation, and variable stiffness mechanisms. Key innovations include electromagnetically guided microcatheters, human-scale clinical navigation systems, and programmable magnetic cilia for fluid control. His publication portfolio demonstrates strong trends in translational medical robotics with 8 high-impact publications between 2020-2024 in journals including Advanced Science , Nature Communications , and IEEE Transactions on Robotics . Work frequently addresses clinical implementation challenges in electromagnetic navigation and biomaterial integration. Pane leads collaborative research with significant clinical relevance, evidenced by news coverage of multiple publications. His team has developed clinically ready systems for magnetic particle injection and human-scale navigation, with research picked up by multiple news outlets and demonstrating strong Mendeley readership. Current work centers on the Robotic Materials Lab at ETH Zurich, focusing on electromagnetic navigation systems, variable stiffness catheters, and magnetic swarm control. The lab maintains strong industry and clinical partnerships for translating robotic technologies into medical practice.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +3 more

Zhaochong An is a Researcher at the School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Visual Intelligence and Learning Lab (VILAB). Research interests include Computer Vision Machine Learning Artificial Intelligence Visual Learning Deep Learning Intelligent Systems

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +1 more

Jason Alexander Toskov is an Assistant Professor at the School of Computer and Communication Sciences (IC) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Visual Intelligence and Learning Laboratory (VILAB). He is currently active as personnel, with contact details including email jason.toskov@epfl.ch and office location INJ 211. His research focuses on visual intelligence and learning, aligning with the mission of the VILAB laboratory. While specific publications or awards are not listed in the provided data, his work appears connected to broader fields of Machine Learning, Computer Vision, and Neural Networks.

Valentin GerardView profile

Researcher

• Computer Science
• Artificial Intelligence
• Transportation Engineering
• +3 more

Valentin Gerard is a Doctoral Assistant at the Visual Intelligence for Transportation (VITA) group within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL). He is affiliated with the Doctoral Program in Electrical Engineering and works under the Environmental Engineering and Computer Science divisions (ENAC, IIC). His research interests align with visual intelligence and transportation systems, focusing on interdisciplinary applications of computer science and artificial intelligence to transportation challenges. No specific publications or awards are mentioned in the provided text.

Bastien Van DelftView profile

Researcher

• Visual Intelligence
• Intelligent Transportation Systems
• Computer Science
• +3 more

Bastien Van Delft is a Researcher at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering and the School of Computer and Communication Sciences. He is associated with the Visual Intelligence for Transportation (VITA) group, focusing on interdisciplinary research at the intersection of computer science and transportation systems. Research Interests Visual intelligence algorithms Machine learning for transportation applications Computer vision in mobility contexts Intelligent transportation systems Data-driven traffic modeling

Matija PiškorecView profile

Researcher

• Machine Learning
• Complex Systems
• Statistical Inference
• +5 more

Matija Piškorec is a Senior Research Associate at the Faculty of Informatics, University of Zurich. His research spans machine learning, complex systems, and blockchain technologies, with a focus on statistical inference of social influence and network analysis. Primary Affiliation: Faculty of Informatics, University of Zurich Research Interests Machine learning and complex systems Statistical inference of influence in online social networks Blockchain technologies and distributed ledger systems Information visualization and interactive web applications in computational biology Publications His recent work explores blockchain networks like Polkadot and Ethereum, analyzing their structure and consensus mechanisms. Earlier research focuses on social network influence, financial data cohesiveness, and computational biology tools. Awards No scientific awards or honors were explicitly mentioned in the text. Additional Contributions Developed web-based visualization tools (e.g., MultiNets) and applied machine learning to diverse domains, including microbiology and finance.

Chat WacharamanothamView profile

Researcher

• Human-Computer Interaction
• Interactive Statistics
• Scientific Decision-Making
• +7 more

Chat Wacharamanotham is an external lecturer and researcher at Swansea University's Computational Foundry, having joined from the University of Zurich (UZH) in July 2022. Prior to UZH, he was affiliated with RWTH Aachen University in Germany. His work bridges interactive technologies and scientific decision-making, particularly in the context of statistics. His research interests lie at the intersection of Human-Computer Interaction, Interactive Statistics, and Scientific Decision-Making . He investigates how interactive tools can support scientists in planning experiments and interpreting statistical reports, using methodologies such as Human-Centered Design, Contextual Inquiry, and lab experiments with eye- and motion-tracking. His work emphasizes transparency, usability, and cognitive support in data analysis workflows. The recent publications highlight a consistent focus on interactive statistical tools, experimental design support, and gaze-based analysis . Projects like Argus, Touchstone2, and Statsplorer demonstrate a trajectory toward building interactive systems that guide users through complex statistical reasoning. The research integrates visualization, user interface design, and empirical evaluation, primarily within the HCI domain. While no scientific awards are listed in the provided text, his contributions to the field are evident through his active publication record in premier venues like CHI and IEEE TVCG. Chat Wacharamanotham is involved in teaching, including a seminar on Experiments in Human-Computer Interaction for Master's students. Although he is no longer available for thesis supervision, he continues to contribute to academic instruction at UZH. His research is conducted within a collaborative lab environment, as evidenced by co-authored works with teams from various institutions.

Alexander AlbersView profile

Researcher

• Industrial Engineering
• Manufacturing
• Machine Learning
• +4 more

Current research associate and doctoral student at ETH Zurich's Chair of Production and Operations Management (POM), focusing on industrial engineering and augmented reality applications in manufacturing. Holds M.Sc. with distinction in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT), with research conducted at University of Cambridge's Institute of Manufacturing. Educational background: B.Sc. & M.Sc. Industrial Engineering and Management, KIT, Germany Master's thesis research at University of Cambridge, UK Research integrates machine learning and augmented reality into manufacturing processes, particularly for quality inspection and guided assembly systems. Publications examine data application frameworks in VUCA environments and evaluate AR technology effectiveness in industrial settings. Recent publications highlight: Contextual AR evaluation methodologies Smart manufacturing data integration User-centered quality inspection systems Scientific achievements: Published in IEEE Transactions on Visualization and Computer Graphics Presented at IEEE ISMAR-Adjunct Contributed to Springer LNCS series publications Also develops public transport navigation apps integrating 50+ networks across Germany, Austria, and Switzerland, while maintaining active engagement in sports and outdoor activities.

Walter SalzburgerView profile

Professor

• Evolutionary Biology
• Genetics
• Ecology
• +5 more

Walter Salzburger is a Full Professor at the Department of Environmental Science , University of Basel, Switzerland, affiliated with the Faculty of Science. His research focuses on evolutionary biology, particularly the mechanisms driving adaptive radiation in cichlid fishes and other vertebrates. Current Position: Full Professor (2020–present) Prior Positions: Associate Professor (2012–2020), Assistant Professor (2007–2012), Visiting Professor at CEES, Oslo (2012–2015) Walter Salzburger’s research explores the interplay between genetic variation, developmental processes, and environmental factors in shaping biodiversity. His work integrates genomics, phylogenetics, and ecological modeling to study: Evolutionary dynamics of gene families (e.g., Wnt, opsins) Molecular basis of sensory adaptation in aquatic species Role of regulatory evolution in phenotypic diversification Environmental drivers of speciation in Lake Tanganyika Recent Publications highlight trends in comparative genomics of vertebrate adaptive traits, with a focus on gene repertoire evolution, sensory systems, and neuroendocrine mechanisms during adaptive radiation. Collaborative projects include studies on gastrointestinal tract plasticity in vertebrates. Grants: EMBO ALTF 119-2022 project (completed) on mitochondrial genomics of Neotropical cichlids. Current projects examine the evolutionary and ecological context of adaptive radiation in Lake Tanganyika fishes. Laboratory: The Salzburger Lab employs a multidisciplinary approach, combining experimental embryology, functional genomics, bioinformatics, and computational modeling to investigate evolutionary processes.

Corinna ReinhardtView profile

Professor

• Greek and Roman Sculpture
• Sculpture-architecture interaction
• Materiality of inscriptions
• +5 more

Prof. Dr. Corinna Reinhardt is the Chair of Mediterranean Archaeology with a focus on Greek and Roman Antiquity at the University of Zurich since August 1, 2023. Formerly a W1 Junior Professor at Friedrich-Alexander University Erlangen-Nuremberg (2017–2023), she has held research positions at Heidelberg, Leipzig, and Munich universities. PhD in Classical Archaeology (LMU Munich, 2015) on Greek akroterion sculpture Master's degree in Classical Archaeology, Ancient History, and Law/Media Law (LMU Munich, 2010) University of Zurich: Leads Digital Visualization Lab, Monte Iato excavation projects Her research focuses on: Materiality of Greek sculpture and architecture Text-image relationships in Archaic/Classical periods Digital methods (Computer Vision, 3D scanning, Deep Learning) History of antiquity reception in 19th-century Europe Key article themes (2018–2024) show interdisciplinary work combining: Archaeological analysis with digital humanities Funerary monument studies Vase painting narrative strategies Neoclassical emulation of antiquity Epigraphic materiality Iconographic interpretation Scientific Awards : Teaching Award, Faculty of Philosophy at FAU Erlangen-Nuremberg (2021) She co-organized virtual and physical exhibitions, developed digital teaching frameworks, and contributed to museum catalogues including Berlin Antikensammlung and Munich Staatliche Antikensammlungen.