Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Simon Elias BibriExpertise
• Sustainable cities• Smarter eco-cities• Sustainable smart cities• Artificial Intelligence of Things (AIoT) • Generative Artificial Intelligence of Things (GAIoT)• Foundation Models (FMs) • Quantum Generative Artificial Intelligence (QGAI)• Urban Digital Twins (UDTs)• Urban Brain (UB) • Smart Circular Metabolism• Urban planning and design• Environmental sustainability and climate resilience• Sustainable smart energy• Sustainable smart transportation• Sustainable smart waste and water management•
Andrew James SontaExpertise
Human-building interaction, building energy, occupant behavior, sustainable design and planning, walkability, network analysis, machine learning, urban informatics, social systems.
Andrew Sonta is a tenure track assistant professor of sustainable civil engineering at EPFL. He directs the ETHOS Lab: Engineering and Technology for Human Oriented Sustainability. ETHOS is an interdisciplinary research group focused on using data-driven and computational tools to create interventions in the built envir
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Zepeng ZhangZepeng is a PhD student at École Polytechnique Fédérale de Lausanne (EPFL). He works in the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink. Previously, He received his master’s degree at ShanghaiTech University and B.Eng. degree from Wuhan University (WHU). During his studies, he have visited Télécom Paris, Institut Polytechnique de Paris (IP Paris), Peking University (PKU), and City University of HongKong (CityU) as a research intern. His current research
Athanasios NenesTeaching & PhD PhD Students Berkay Dönmez, Ernest Abboud Past EPFL PhD Students Paraskevi Georgakaki, Lucile Ricard Courses Atmospheric processes: from cloud to global scales ENV-407 The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Introduction to environme
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Lénaïc ChizatTeaching & PhD PhD Students Javier Esteban Maass Martinez Past EPFL PhD Students Guillaume Yitian Wang Courses Computational optimal transport MATH-528 Computational aspects of measure transportation, from classical optimal transport to modern denoising diffusion models. Topics in machine learning MATH-520 Mathematical analysis of modern supervised machine learning techniques, with an emphasis on the mathematics of artificial neural networks.
Geovani RizkExpertise
Distributed Machine Learning, Robustness, Safety, Optimization, Multi-Agent, Bandits in Graphs
I am a postdoctoral researcher at école Polytechnique Fédérale de Lausanne since 2022, where I work with Rachid Guerraoui on robustness of distributed machine learning algorithms. From 2018 to 2022, I completed my Ph.D. in computer science at Université Paris Dauphine-PSL on multi-agent bandits in graphs under the supervision of Yann Chevaleyre, Rida Laraki, Igor Colin, and Albert Thomas.Pre-prints Over
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Emma Elizabeth TolleyI studied the universe at the smallest scales at the Large Hadron Collider, now we're getting ready to study it at the largest scales with the Square Kilometer Array. My research focuses on developing high-performance computing and new data science techniques to image and analyse the radio sky.
Teaching & PhD PhD Students Markus Johan Bredberg, Ashutosh Kumar Mishra Past EPFL PhD Students as codirector Shreyam Parth Krishna Courses General physics : mechanics (english flipped classroom) PHYS-101
Vinay SharmaExpertise
Computational Mechanics, Graph Machine Learning.
Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Jinzhi LuMy name is Jinzhi Lu, scientist at SCI-STI-DK EPFL. Ph.D. in Division of Mechatronics, Department of Machine Design, ITM School, kth during 2014 and 2019. Currently, I am CSEP (04944), co-chair of IoF systems engineering group, a senior member of China Council on Systems Engineering (CCOSE) , co-founder of MBSEWiki in Chinese, the head of international department of China MBSE Alliance and TC member in IEEE SMC MBSE Group .
We organize a special issue on "Smart Resilient Manufacturing” which will be published in Applied Sciences (http://www.mdpi.com/journal/applsci ). Furthermore, I am the PC members of INCOSE IS, IEEE SOSE and worldcist conferences; I am also the reviewers of IEEE trans，IEEE ACCESS ， Information & Communications Technology Express and other 5 scientifc journals. Google Scholar:
https://scholar.google.ch/citations?hl=de&pli=1&user=6Vmt95UAAAAJ
My Research:
My research interests are in the areas of cyber-physical systems, aero-engines in particular with
- Systems engineering and model-based systems engineering (MBSE)
- Cognitive twins and digital twins3. Co-simulation and integrated verification & validation
- Domain-specific modeling and architecture design
- Service-oriented tool-chain development and service orchestration
- Simulation-based decision making and design automation
- MBSE enterprise transitioning.
- Mission engineering and system of systems engineering9. Cyber security
My thesis:
A Framework for Cyber-physical System Tool-chain Development: A Service-oriented and Model-based Systems Engineering Approach
Technical Report:
- State-of-the-art of MBSE tool-chains 2. Historical perspective of Model-based Systems Engineering
My Publications:
Accepted and Published:
Jinzhi Lu, Dejiu Chen，Guoxin Wang，Dimitris Kiritsis and Martin Törngren . Model-based Systems Engineering Tool-chain for Automated Parameter Value Selection (2021). IEEE Trans on SMC（IF:9.304).Yuanfu Li, Jinwei Chen, Zhenchao Hu, Huisheng Zhang, Jinzhi Lu & Dimitris Kiritsis (2021) Co-simulation of complex engineered systems enabled by a cognitive twin architecture, International Journal of Production Research, DOI: 10.1080/00207543.2021.1971318J. Lu, J. Ma, X. Zheng, G. Wang, H. Li and D. Kiritsis, "Design Ontology Supporting Model-Based Systems Engineering Formalisms," in IEEE Systems Journal, doi: 10.1109/JSYST.2021.3106195.Jinzhi Lu , Guoxin Wang ,Xin Tao, Jian Wang and Martin Törngren （2020）. A Domain-specific Modeling Approach Supporting Tool-chain Analysis, ICAE （IF:4.904）.Jinzhi Lu, Xinguo Wang*, Martin Törngren (2019). Design Ontology in a Case Study for Co-simulation in a Model-based Systems Engineering Tool-chain, IEEE Systems journal, DOI:10.1109/JSYST.2019.2911418 (IF:4.337).Jinzhi Lu, Jiqiang Wang, Dejiu Chen, Jian Wang, Martin Törngren. A Service-oriented Tool-chain for Model-based System Engineering of Aero-engines. (2018), IEEE ACCESS (IF:3.557). 10.1109/ACCESS.2018.2868055.Tao Xin, Jinzhi Lu, Dejiu Chen, Martin Törngren (2020). Probabilistic Inference for Fault Detection of Cyber-Physical Systems under Uncertainty, IEEE Systems journal.SUN Shengnan, LU Jinzhi, CHEN Jinwei, HUANG Baiqiao, LAN Xiaoping, ZHANG Huisheng. Implementation and application of multi-architecture modeling method for aircraft entertainment system. Science & Technology Review, 2020, 38(21): 177-186.鲁金直, 王国新, 郑新华, 黄百乔. 基于模型系统工程中国应用调查[J]. 科技导报, 2018, 36(20): 57-66.Binbin Hao, Jinzhi Lu*, Jun Li, Guoxin Wang, Xiaoping Lan, Jianjiang Chen, Xin Wu. Domain-specific Modeling Approach Supporting Model-based Systems Engineering in Aero-engine Development, MBSE Special Issue, Science & Technology Review (Chinese)Integration of Modeling and Verification for System Model Based on KARMA Language, conference paper.Model-based Systems Engineering Supporting Cost Analysis of Aircraft Development Process, conference paper.A Bibliometric Analysis on Model-based Systems Engineering, conference paper.Jin Y., Lu J., Wang G., Wang R., Dimitris K. (2021) Semantic Modeling Supports the Integration of Concept-Decision-Knowledge. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_22She S., Lu J., Wang G., Ding J., Hu Z. (2021) Model-Based Systems Engineering Supporting Integrated Modeling and Optimization of Radar Cabin Layout. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_23Li H., Lu J., Zheng X., Wang G., Kiritsis D. (2021) Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_24A Semantic-Driven Digital Twin Model for Machining Processes Towards Zero Defect Manufacturing, conference paper.Development of an application ontology for knowledge management to support aircraft assembly system design, conference paper. Jiangmin Guo，Jie Ding，Jinzhi Lu and Guoxin Wang. A Model Query Language for Domain-Specific Models, 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) .Yang P, Lu J, Feng L, et al. A Knowledge Management Approach Supporting Model-Based Systems Engineering[C] //Trends and Applications in Information Systems and Technologies: Volume 2 9. Springer International Publishing, 2021: 581-590.Lu J., Zheng X., Schweiger L., Kiritsis D. (2021) A Cognitive Approach to Manage the Complexity of Digital Twin Systems. In: West S., Meierhofer J., Ganz C. (eds) Smart Services Summit. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-72090-2_10.Wu Shouxuan, Jinzhi Lu, Zhenchao Hu, Pengfei Yang, Guoxin Wang, Dimitris Kyritsis. Cognitive Thread Support Complex Development System of Systems, conference paper， IEEE – 16th System of Systems Engineering Conference.Jürg Meierhofer, Simon Züst, Jinzhi Lu, Lukas Schweiger, Dimitris Kiritsis. Enabling Decisions Support Services In Industrial Ecosystems by Digital Twins, Spring Servitization Conference 2021.Gharaei A., Lu J., Stoll O., Zheng X., West S., Kiritsis D. (2020) Systems Engineering Approach to Identify Requirements for Digital Twins Development. In: Lalic B., Majstorovic V., Marjanovic U., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. Decentralized Industrial IoT Data Management Based on Blockchain and IPFS, Zheng X., Lu J., Sun S., Kiritsis D. (2020)，APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham.系统工程-基于国际标准过程的研究与应用 (book-chapter).20190850-T-489 系统与软件工程 系统生存周期过程 （define standard based on ISO&IEC&IEEE 15288）Zhenchao Hu, Lu Jinzhi, Jinwei Chen, Xiaochen Zheng, Dimitrios Kyritsis and Huisheng Zhang (2020), A Complexity Analysis Approach for Model-based System Engineering, IEEE – 15th System of Systems Engineering Conference.Joze M. Rozanec, Lu Jinzhi , Aljaz Kosmerlj , Klemen Kenda, Kiritsis Dimitris, Viktor Jovanoski , Jan Rupnik , Mario Karlovcec, and Blaz Fortuna. Towards Actionable Cognitive Digital Twins for Manufacturing, SeDiT Workshop，ESWC 2020 conference .Zheng Xiaochen, Psarommatis Foivos, Petrali Pierluigi, Turrin Claudio, Lu Jinzhi, KiritsisDimitris. A Quality-Oriented Digital Twin Modelling Method for Manufacturing Processes Based on A Multi-Agent Architecture, FAIM2021 International Conference.Xiaochen Zheng, Shengjing Sun, Joaquín Ordier-es-Meré, Jinzhi Lu, Dimitris Kiritsis. Applying distributed ledger technology to facilitate IIoT data interoperability: an approach based on IOTA Tangle, I-ESA conference 2020.Lu Jinzhi, Guoxin Wang, Jiangmin Guo, Hongwei Wang, Hang Zhang and Martin Torngren, A General Modeling Language Supporting Model-based Systems Engineering Formalisms (Part 1), 30th Annual INCOSE International Symposium.Jiangmin Guo, Guoxin Wang, Lu Jinzhi*, Shengnan Sun and Hang Zhang, A General Modeling Language Supporting Architecture driven and Code Generation (Part 2), 30th Annual INCOSE International Symposium.Jinzhi Lu, Xiaochen Zheng, A.G.K.K.D.K.: Cognitive twins for supporting decision-makings of internet of things systems. In: Proceeding of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing (2020).Jinwei Chen, Zhenchao Hu, Jinzhi Lu*, Huisheng Zhang*, Sihan Huang,Martin Törngren. An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development, IEEE – 14th System of Systems Engineering Conference.Hongwei Wang, Guoxin Wang, Jinzhi Lu*, Changfeng Ma. Ontology supporting Model-based Systems Engineering based on a GOPPRR approach. WorldCist'19 - 7th World Conference on Information Systems and Technologies.Mengyun Lian, Jian Wang, Jinzhi Lu. A New Hardware Logic Circuit for Evaluating Chip Multi-Processor Security, conference paper, Conference on Instrumentation & Measurement, Computer, Communication and Control, 2018Jian Wang*, Jinzhi Lu*, Zhe Chen, A Fault Propagation Model for Un-reconvergence Path Netlist in FPGA, conference paper, 5th International Conference on Information Science and Control Engineering (ICISCE).Jian Wang*, Jinzhi Lu*, Zhe Chen, Shize Guo and Yubai Li, A Thermal-balance-oriented Task Mapping Algorithm for CMPs, The 8th International Conference on Information Communication and ManagementJinzhi Lu, Yuejie Wen, Didem Gürdür, Qi Li, Martin Törngren. MBSE Applicability Analysis in Chinese Industry, 28th Annual INCOSE International Symposium.Zhigang Liu*, Mengfei Yang*, Qi Chen,Qing Du,Ning Xia, Jinzhi Lu*. An MBSE Tool to Support Architecture Design for Spacecraft Electrical Power System, 28th Annual INCOSE International Symposium.Jinzhi Lu, Dejiu Chen,Jian Wang, Martin Törngren.Towards A Service-oriented Framework for MBSE Tool-chain Development, IEEE – 13th System of Systems Engineering Conference.Jinzhi Lu, Didem Gürdür, Dejiu Chen, Jian Wang and Martin Törngren, Empirical-Evolution of Frameworks Supporting Co-simulation Tool-Chain Development. WorldCist'18 - 6th World Conference on Information Systems and Technologies.Jian Wang*, Hongxin Li, Jinzhi Lu, Kun Li, Huan Li, Lian Yang and Yubai Li. (2017) A New PSO-based Layout Method for GNSS Pseudolite System, IEEE ICIT, International Conference on Industrial Technology (best presentation).Jinzhi Lu, Dejiu Chen, Jian Wang and Martin Törngren (2017), A Tool Integration Language to Formalize Co-simulation Tool-chains for Cyber-physical System (CPS), Workshop on Formal Co-Simulation of Cyber-Physical Systems in SEFM2017.Lu, J., Chen, D.-J., Gürdür, D. and Törngren, M. (2017), An Investigation of Functionalities of Future Tool-chain for Aerospace Industry. INCOSE International Symposium, 27: 1408–1422. doi:10.1002/j.2334-5837.2017.00437.xJinzhi Lu, Dejiu Chen, Martin Törngren, Frédéric Loiret. A Model-driven and Tool-integration Framework for Whole Vehicle Co-simulation Environments. 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, Toulouse, France.Dong Zhang, Jin-zhi Lu, Lin Wang, Jun Li, Research of Model-based Aero-engine Control System Design Structure and Workflow, In Procedia Engineering, Volume 99, 2015, Pages 788-794, ISSN 1877-7058.Lu J., Chen D., Wang J., Li W. , An Investigation of Model-Based Design Framework for Aero-Engine Control Systems. In: Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, HeidelbergLu J., Ding J., Zhou F., Gong X. (2016) Research of Tool-Coupling Based Electro-hydraulic System Development Method. In: Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, Paris
Submitted (Under review):
Digital Engineering Assets Marketing Place based on Model-based Systems Engineering and Distributed Ledger Technology, journal paper.A Systematic Review of MBSE Tool-chains From Literature Review, journal paper.Actionable Cognitive Twins for Decision Making in Manufacturing, journal article.The emergence of Cognitive Twin: challenges and opportunities,journal article.Model-based Systems Engineering Supporting Production Line Optimization based on Satisfiability Module Theory, journal article.Towards to a Complete Definition of Cognitive Twins, journal paper.Cognitive Twin Construction for System of Systems Operation based on Semantic Integration and High Level Architecture, journal article.An MBSE Tool-chain Supporting Automated Co-simulation of Cyber-physical Systems, journal article.A Semantic Modeling Approach Supporting Property Verification based on Satisfiability Modulo Theories, conference paper.
Ongoing work:
Structural Complexity Management and Analysis for Complex Products Enabled by a Model-based Architecture, journal article.基于C-D-K理论和MBSE的复杂产品概念设计及方案权衡决策, journal article.基于贝叶斯网络的复杂系统可靠性设计方法, journal article.基于转换规则的代码生成语言, journal article.驾驭全局——系统工程探秘 (book chaptor).
Towards work:
Reinforce learning supporting decision making in a service-oriented MBSE tool-chain.MBSE enterprise transitioning formalisms based on evolution theory.
Presentations in Workshop:
Invited Speech, 21th and 26th CCOSE workshop, MBSE tool-chain development and Practice.Invited Speech, System of Systems Engineering Collaborators Information Exchange (SoSECIE) Webinar Archive， 2019.Presentation of IoF Systems Engineering Working Group, IoF Systems Engineering Working Group Kickoff Meeting, 2020.
Supervising:
The effects of test process automation on fault frequency for a spreader system, 2016, Henrik Hamber and Linus Skjutar Apell.A Path Planning Approach for Context-Aware Autonomous UAVs used for Surveying Areas in Developing Regions, 2018, Fredrika Kringberg.A Practical Approach of an Internet of RoboticThings Platform, 2018, Robert Yousif.GNSS Position Error Estimated by Machine Learning Techniques with Environmental Obstruction Input Method, Alejandro Kuratomi（Radionavigeringsnämndens (RNN) stipendium BEST APPLICATION FIRST/PRICE AWARDS）. 