Swiss Federal Institute of Technology in LausanneSwitzerland
Jiacheng Ma is a Doctoral Assistant at the Dependable Systems Laboratory (DSLAB) at École Polytechnique Fédérale de Lausanne (EPFL), within the School of Computer and Communication Sciences (IC) and the Department of Computer Science. He is concurrently a PhD student in the Doctoral Program in Computer and Communication Sciences (EDIC). His research focuses on dependable systems , encompassing areas such as distributed systems, fault tolerance, system reliability, and cybersecurity. His work contributes to building robust and secure computing infrastructures. No scientific awards or publications are listed in the current profile. He advises no students at this time and has no listed grants. He is affiliated with the Dependable Systems Laboratory (DSLAB) , a research group focused on system security and dependability.
Swiss Federal Institute of Technology in LausanneSwitzerland
Fatma-Betül Güres serves as a Researcher and Doctoral Assistant at the Machine Learning for Education Laboratory (ML4ED) within the Institute of Computer Science at the École Polytechnique Fédérale de Lausanne (EPFL), concurrently pursuing her doctoral studies in the Doctoral Program in Learning Sciences (EDLS). Her research integrates computational methods with educational theory, focusing on: Machine learning algorithms for personalized learning Ethical AI deployment in educational contexts Learning analytics and data-driven pedagogy Intelligent tutoring system design Real-time feedback mechanisms in digital classrooms Scalability of adaptive educational technologies As part of ML4ED, she contributes to cross-institutional collaborations developing evidence-based educational tools, with emphasis on practical implementation in live classroom environments and rigorous evaluation of learning outcomes through computational modeling.
Swiss Federal Institute of Technology in LausanneSwitzerland
Andrei Bursuc is a Research Scientist and Deputy Scientific Director at Valeo.ai, where he focuses on perception for autonomous driving. Concurrently, he serves as a Research Associate at the Astra Inria project team and teaches the Deep Learning DIY course at Paris Institute of Technology (École Polytechnique) since 2019. He holds a PhD from Mines ParisTech and Telecom SudParis (2012) and a BSc from Polytechnic University of Bucharest (2009). His research spans computer vision and machine learning , with applications in autonomous driving, uncertainty quantification, self-supervised learning, and foundation models. Recent work emphasizes scalable representation learning, open-vocabulary segmentation, and generative modeling for driving scenarios. His publications (2024–2025) cluster around themes of semantic segmentation , depth estimation , and vision-language models , with innovations in unsupervised learning, cross-modal distillation, and efficiency. Trends indicate a focus on robustness, real-world generalization, and multi-sensor integration. He co-organizes workshops (e.g., Uncertainty Quantification at CVPR/ECCV) and serves as Area Chair for NeurIPS/CVPR/ECCV. He contributes to EU projects (e.g., ELLIOT) and open-source initiatives.
Dr. Jemil Avers Butt is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering (D-BAUG), specializing in Geomatics and Geodetic Engineering. His research focuses on advanced geospatial technologies, including terrestrial radar interferometry, LiDAR sensing, and MIMO-SAR for structural and environmental monitoring. He develops novel methods for improving sensor accuracy, data fusion, and deformation analysis in civil engineering applications. His work addresses challenges in monitoring infrastructure such as bridges, wind turbines, and dams, leveraging machine learning and probabilistic modeling to enhance data interpretation. Recent projects include RGB-guided 3D displacement estimation, self-calibration of laser scanners, and phase ambiguity resolution in electronic distance measurements. He teaches courses like 'Computational Methods for Geospatial Analysis' and 'Project Parameter Estimation,' reflecting his expertise in both theoretical and applied aspects of geomatic engineering.
Sinisa Matetic serves as a Lecturer at the Department of Computer Science at ETH Zurich. His research focuses on practical aspects of cybersecurity with emphasis on blockchain technologies, smart contract security, and trusted execution environments. Research Focus His work bridges theoretical cryptography and applied security systems. Key areas include the design of secure smart contract frameworks for cryptocurrencies, privacy-preserving delegation mechanisms using hardware enclaves (SGX), and human-centered security solutions including embedded phishing training methodologies. Recent publications explore blockchain scalability through parallel contract execution, identity management via trusted hardware, and empirical studies on security training effectiveness. He has developed novel architectures like delegaTEE for secure brokered delegation and Teevil for privacy-enhanced identity leasing using Intel SGX technology.
Kalaidos University of Applied SciencesSwitzerland
Mirko J. Helbling serves as a Lecturer at the University of Applied Sciences for IT Security and Software Engineering while concurrently working as a Cyber Security Specialist in the Swiss Defense Industry. His dual-role positions him at the intersection of academic instruction and practical national security applications, with contact details including mirko-helbling@outlook.de and +41 79 12208 93. His research spans Cyber Security , IT Security , Digitalization , and Privacy , with specialized focus on quantum computing threats, cyberbullying dynamics, and surveillance societal impacts. He examines how emerging technologies challenge existing cryptographic systems and social structures, emphasizing real-world implications for individuals and economic systems through his public-facing blog contributions. Analysis of his publications reveals consistent thematic threads: quantum computing's disruption of financial cryptography, psychological and legal dimensions of online harassment, context-specific privacy threats during travel, and systemic risks of mass surveillance. His work prioritizes actionable insights for non-technical audiences while highlighting urgent security gaps in rapidly evolving digital landscapes.
Andrea Rosà is a Researcher and Lecturer at the Faculty of Informatics of Università della Svizzera italiana (USI) in Lugano, Switzerland. He is a member of the Dynamic Analysis Group (DAG), where he conducts research on managed language runtimes, dynamic program analysis, and performance optimization of parallel systems. Andrea earned his PhD in Informatics from USI in 2018 under the supervision of Prof. Walter Binder. Prior to that, he completed both his MSc and BSc in Computer Science Engineering at Politecnico di Milano. His research centers on dynamic program analysis, managed language runtimes (especially the Java Virtual Machine), dynamic compilers, benchmarking, concurrency and parallelism, and big-data analytics. He has developed tools such as AkkaProf for profiling actor-based applications and contributed to the Renaissance benchmarking suite. His recent work investigates task granularity, Java streams, vectorization, and compiler-level profiling. His most recent publications (2023–2025) explore JVM performance, Java Vector API, native-image startup, and adaptive threading, published in leading venues such as TOPLAS, PLDI, CGO, and OOPSLA. The articles collectively reflect a strong focus on empirical systems research, performance engineering, and tool development for modern JVM-based applications. Andrea collaborates extensively with researchers including Matteo Basso, Walter Binder, Eduardo Rosales, and Lydia Y. Chen. He has co-authored over 50 publications and contributed to multiple open-source projects and benchmarking frameworks. He advises no known students but actively contributes to academic service, including organizing and editing workshop proceedings. He is based at the East Campus, Sector D, Office D5.10, Via la Santa 1, Lugano-Viganello, Switzerland.
Swiss Federal Institute of Technology in LausanneSwitzerland
Patrick Mayor serves as Head of Faculty Affairs for the School of Engineering (STI) at École Polytechnique Fédérale de Lausanne (EPFL), while concurrently holding roles as Coordinator of the STI Academic Evaluation Committee and Scientist in the PRN-MARVEL (NCCR MARVEL) administration. His institutional presence spans administrative leadership and research coordination within EPFL's engineering ecosystem. Research interests demonstrate a clear evolution from fundamental granular physics (2003-2008) to complex systems engineering (2010-2018). Early work established foundational insights into vibration-fluidized granular matter, Brownian motion analogies, jamming transitions, and impact cratering mechanics. Later contributions pivoted toward the Nano-Tera.ch initiative, focusing on engineering integrated systems for health monitoring, environmental sustainability, and energy infrastructure through nanotechnology applications. This trajectory reflects a strategic shift from theoretical physics toward applied transdisciplinary engineering solutions. Publication analysis reveals distinct thematic clusters: granular media studies predominantly appear in high-impact physics journals ( Nature , Physical Review Letters ), characterized by experimental investigations of non-equilibrium statistical mechanics. The Nano-Tera.ch series features in engineering and information technology venues, emphasizing system integration, sensor networks, and cyber-physical architectures. Both phases maintain rigorous methodological approaches while addressing increasingly complex real-world challenges. Administrative leadership positions indicate significant institutional responsibility, with Faculty Affairs oversight encompassing academic evaluations, strategic planning, and faculty development across EPFL's engineering school. PRN-MARVEL involvement connects to Switzerland's National Centre of Competence in Research, positioning Mayor at the intersection of academic governance and cutting-edge materials science initiatives. Research infrastructure engagement includes the PRN-MARVEL administration and Nano-Tera.ch consortium, facilitating cross-disciplinary collaboration between physicists, engineers, and computer scientists. These frameworks support large-scale projects addressing societal challenges through technological innovation, with Mayor contributing to both conceptual development and operational execution.
Swiss Federal Institute of Technology in LausanneSwitzerland
Malo Lucas Perez serves as a Doctoral Assistant at the Computer Vision Laboratory (CVLAB) within the Institute of Electrical Engineering at the School of Computer and Communication Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL). He concurrently pursues doctoral studies in the Doctoral program in computer and communication sciences (EDIC). His research centers on Computer Vision and Machine Learning , with specialization in Artificial Intelligence and Image Processing . As part of CVLAB, he contributes to advanced projects in visual recognition systems, 3D scene reconstruction, and deep learning architectures for real-world vision applications. He maintains active affiliation with EPFL's Computer Vision Laboratory, a globally recognized research hub advancing state-of-the-art methodologies in computational imaging and visual understanding.
Swiss Federal Institute of Technology in LausanneSwitzerland
Maria Boulougouri is a Doctoral Assistant at the Signal Processing Laboratory 2 (LTS2) at École Polytechnique Fédérale de Lausanne (EPFL), within the School of Engineering and the Institute of Electrical Engineering. She is concurrently pursuing her doctoral studies in the Doctoral Program in Computational and Quantitative Biology (EDCB) under the EDOC Doctoral School at EPFL. Research Interests: Her work bridges signal processing and computational biology, focusing on the development and application of quantitative methods for biological data analysis. Her research interests include signal processing, computational biology, bioinformatics, machine learning in biological systems, and data-driven approaches in life sciences. This interdisciplinary profile suggests strong expertise in algorithmic modeling and analysis of complex biological signals and datasets. No publications are listed in the provided text, so no trends can be derived at this time. Scientific Awards: Advising and Grants: There is no information available regarding student advising or research grants in the provided text. Labs and Teams: Maria is affiliated with the Signal Processing Laboratory 2 (LTS2) at EPFL, a research group focused on advancing theoretical and applied aspects of signal processing with applications in biology, medicine, and engineering.
Swiss Federal Institute of Technology in LausanneSwitzerland
Hale-Seda Ivo Radoykova is a Doctoral Assistant at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with two prominent research laboratories: the Laboratory of Experimental Biophysics (LEB) in the School of Basic Sciences and the Laboratory of Biomechanical Orthopedics (LBO) in the School of Engineering. She is concurrently enrolled as a student in the Doctoral Program in Computational and Quantitative Biology (EDCB) at EPFL, reflecting her interdisciplinary research focus. Her research interests lie at the intersection of biophysics, biomechanics, and computational biology. These fields are strongly supported by her dual appointments in experimental biophysics and biomechanical orthopedics, indicating a focus on quantitative approaches to understanding biological systems, particularly in musculoskeletal or cellular mechanics. Her work likely involves advanced experimental techniques combined with computational modeling. She has not published any articles listed in the provided text, so no trends can be identified at this time. Scientific Awards: No awards mentioned. As a doctoral assistant and student, she is actively engaged in research and academic training. There is no mention of grant leadership or student advising in the provided information. Her primary research environment includes the Laboratory of Experimental Biophysics and the Laboratory of Biomechanical Orthopedics, both at EPFL, suggesting collaboration across disciplines in life sciences and engineering.
Oliver Krancher is Lecturer at the Institute of Business Information Systems, University of Bern, and concurrently Associate Professor at the IT University of Copenhagen. Holding a diploma in Business Informatics (University of Regensburg & Università Cattolica del Sacro Cuore) and a doctorate from the University of Bern, he investigates knowledge processes surrounding the development, use and governance of information technology. His research interests revolve around: Knowledge transfer and governance in IT outsourcing – examining how clients and vendors exchange and integrate knowledge across multisourcing and offshoring arrangements. Social media and collaboration platforms – exploring how short-message feeds and awareness mechanisms influence team learning and performance. Platform-as-a-Service (PaaS) – analysing the affordances of cloud platforms that enable self-organisation and continuous feedback in software development. Organisational routines under malleable IT – studying how flexible information systems reshape routines and momentum for change. Across more than thirty peer-reviewed publications since 2011, his work consistently bridges behavioural and economic perspectives on IT governance, knowledge management, and software sourcing. Recent articles in Journal of the Association for Information Systems and European Journal of Information Systems highlight empirical insights into multisourcing governance and complementor dedication in platform ecosystems. Scientific awards and honours Best Associate Editor Award, International Conference on Information Systems (ICIS) 2017 AIS Award for Innovation in Teaching 2015 for the master-level course “Enterprise Software-as-a-Service Lab” McKinsey Business Technology Award 2013 (1st prize) Teaching and grants narrative At the University of Bern he teaches Bachelor-level “Business Process Management” and Master-level “Enterprise Software as a Service Lab”. While specific research grants are not detailed in the provided text, his sustained publication record and visiting appointments (e.g., Georgia Institute of Technology) indicate ongoing funded research activity in the areas outlined above. Laboratories and teams He is affiliated with the Institute of Business Information Systems (Dept. Information Engineering) at the University of Bern and the IT University of Copenhagen, both of which host interdisciplinary research environments in information systems, outsourcing and digital innovation.
Swiss Federal Institute of Technology in LausanneSwitzerland
Sébastien Doeraene is a Lecturer at the Swiss Federal Institute of Technology Lausanne (EPFL) , affiliated with the School of Computer and Communication Sciences and the Information Systems Laboratory . He is best known as the creator of Scala.js and serves as the Executive Director of the Scala Center . His research focuses on cross-platform language design, compiler optimization, and interoperability between statically and dynamically typed languages. PhD in Programming Languages (EPFL, 2018) Master of Science in Computer Science Engineering (Université catholique de Louvain, Belgium) His work bridges theoretical language design with practical implementations, particularly for JavaScript interoperability. Key projects include: Scala.js (compile Scala to JavaScript) Mozart 2 (Oz language implementation) Ozma (Scala extension with Oz concurrency) FunLabyrinthe (customizable maze game) Teaching contributions include courses on algorithmic thinking (C programming) and software development (Python, object-oriented design). As part of the LAMP laboratory , he advances Scala ecosystem tools and education initiatives.
University of Applied Sciences and Arts Northwestern SwitzerlandSwitzerland
Joshua Weber is a Research Associate at the University Center, School of Social Work FHNW , where he focuses on digitalization in social work and specialized software development. He is concurrently a doctoral student at the University of Cologne, Faculty of Human Sciences since 2018. Education: Master's (2012–2014) and Bachelor's (2008–2012) in Social Work from Evangelical University of Freiburg Professional Experience: Research roles at University Center (2017–present), Evangelical University of Freiburg (2014–2016), and Mannheim University of Applied Sciences (2014–2015) His research explores digitalization in social work , including specialist software, curricular integration, and materiality-sensitive approaches. He has published extensively on AI empowerment, ecosystemic competency models, and sociotechnical systems in peer-reviewed journals and conferences. Recent work includes collaborations on Actor-Network Theory and digital artifacts in social contexts. Joshua teaches courses like BA 101: Social Work as a Science and Profession and BA 115: Support for BA theses Digitalization , emphasizing digital transformation in social work. He is active in the German Society for Social Work (Specialist Group: Digitalization) and Swiss Society for Social Work (Expert Commission: Digitalization) . Key contributions include framing digital participation in software development, AI-driven educational tools, and ethical considerations in digital social work. His work bridges academic research with practical implementation through projects like Fachsoftware selection frameworks and digital competency models for universities.
Jess Gerrit Snedeker serves as Full Professor of Orthopedic Biomechanics at ETH Zurich (Department of Health Sciences and Technology) and University of Zurich since March 2022. He concurrently holds positions as Vice Chair of Research in the Department of Orthopedics at University of Zurich and Chief Scientific Officer at Balgrist Campus. His academic career at ETH Zurich progressed from Assistant Professor (2006) to Associate Professor (2008) before his promotion to Full Professor in 2022. His educational background includes: Ph.D. in Mechanical Engineering from ETH Zurich (2004) M.Sc. in Bioengineering from Pennsylvania State University (2000) B.Sc. in Mechanical Engineering from Lehigh University (1995) Prof. Snedeker's research centers on tendon disease mechanisms and healing , cell-biomaterial micro-interactions , and clinical biomechanics for orthopedic implants . His laboratory employs multidisciplinary approaches spanning molecular biology, computational modeling, and in vivo studies to investigate how mechanical forces regulate tendon homeostasis and how biomaterial properties influence cellular responses. Current work emphasizes mechanotransduction pathways involving SPARC and PIEZO1 proteins, and the role of advanced glycation in tendon aging. Analysis of his 2009-2021 publications reveals evolving focus from fundamental tendon biomechanics (collagen mechanics, viscoelasticity) toward integrated mechanobiological models linking molecular pathways to tissue function. Recent work increasingly incorporates genetic factors and in vivo human performance metrics, demonstrating translational impact from molecular mechanisms to clinical outcomes in tendon disorders. The Orthopedic Biomechanics Laboratory under his leadership operates as a collaborative hub between ETH Zurich, University Hospital Balgrist, and University of Zurich. The team combines engineering expertise with clinical orthopedics to develop novel diagnostic methods and implant technologies, currently investigating polycaprolactone-based tendon scaffolds and microtissue models for scar prevention.
