جست‌وجوی استاد و پژوهشگر

• Time delayed systems
• Cooperative control
• Infinite delayed systems
• +۴ مورد دیگر

Xiang Xu is an Associate Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech in December 2022 as an Associate Professor in the Department of Electronic and Electrical Engineering, following a postdoctoral fellowship at City University of Hong Kong from 2018 to 2021. His educational background includes: Ph.D. in Mechanical and Biomedical Engineering from City University of Hong Kong (2014-2018) Bachelor of Engineering in Automation from Nanjing University of Science and Technology (2010-2014) Xu's research focuses on advanced control theory, particularly addressing complex challenges in time-delayed systems. His work has significantly contributed to the understanding and control of systems with infinite delays, which are notoriously difficult to analyze and stabilize. He has developed novel Lyapunov-based methods and predictor feedback techniques that have extended the theoretical foundations of control theory for systems with unbounded delays. His research bridges theoretical advancements with practical applications in multi-agent systems, traffic control, and reinforcement learning. Xu has been recognized with several prestigious awards, including: National Science Fund for Excellent Young Scholars (Overseas) in 2022 Shenzhen Peacock Plan Class C in 2022 2023 All-Wheel Drive System Theory and Application Conference Outstanding Young Paper Award City University of Hong Kong Outstanding Doctoral Dissertation Award in 2018 Shortlisted for the 2018 Guan Zhaozhi Award Xu has mentored four Ph.D. students during his postdoctoral period, all of whom have published papers in top control journals. Two of his mentees have secured assistant professor positions at other universities. His research has attracted significant funding, including two RGC grants totaling over HK$1.7 million that his supervisor successfully applied for based on Xu's work. He is actively recruiting PhD students, postdoctoral fellows, and research assistants to continue his research in time-delay systems and multi-agent control. Xu leads a research group focused on control theory at SUSTech, with ongoing projects in multi-agent systems, time-delay systems, and partial differential equations. His team collaborates with leading researchers worldwide, including IEEE Fellow Miroslav Krstic from the University of California, San Diego. The research group provides comprehensive training for students and postdocs, with strong support for publishing in top-tier journals and attending international conferences.

Parminder Singh Kangمشاهده پروفایل

دانشیار

• Supply Chain Management
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Parminder Singh Kang serves as Associate Professor in the Department of Decision Sciences at MacEwan University's School of Business, specializing in supply chain optimization through advanced analytics and machine learning. His cross-disciplinary research integrates people, process, and technology elements to solve complex industrial and service operations challenges. Education: PhD from De Montfort University M.Sc. from De Montfort University Dr. Kang's research centers on applying AI/ML, combinatorial optimization, and simulation modeling to enhance supply chain resilience and customer-centric service systems. His work bridges theoretical frameworks with industry applications, focusing on sustainable digitization, risk profiling, and process improvement through evolutionary algorithms and Lean/Six Sigma methodologies. Recent projects address circular economy integration and Service 4.0 transformation. His publication portfolio reveals strong trends in machine learning applications for supply chain risk analysis, text mining for competency mapping, and digital twin development for customer-centric operations. The research spans theoretical models like HI-TOP to practical case studies on pandemic disruptions and ERP implementation, demonstrating industry-relevant academic contributions. Scientific Awards: Best Paper Award, Administrative Sciences Association of Canada (2018) Horace Pops Medal Award, Wire Cable Conference (2015) Dr. Kang supervises senior student independent studies while teaching business intelligence, machine learning, and supply chain management courses at undergraduate, graduate, and MBA levels. His research is funded by NSERC, MITACS, Alberta Innovates, and industry partners including Fluor Canada, Apana Technologies, and the City of Calgary, supporting projects valued at over $2M annually. He leads collaborative research with Panjab University, CPA Canada, and TATA Steel Europe, focusing on supply chain digitization and process optimization. His work with UK-based SMEs and Canadian organizations drives practical implementation of analytics frameworks in real-world operational environments.

Yue Haoمشاهده پروفایل

عضو هیئت علمی

• Glioblastoma genomics
• Tumor evolution
• Single-cell transcriptomics
• +۳ مورد دیگر

Dr. Yue Hao is a Research Assistant Professor at the Translational Genomics Research Institute (TGen), within the Clinical Genomics and Therapeutics Division. She leads research on the genomic evolution of glioblastoma (GBM) and the identification of therapeutic vulnerabilities, leveraging single-cell and spatial transcriptomics, long-read sequencing, and integrative bioinformatics. Education: Ph.D. in Bioinformatics, North Carolina State University, 2020 Postdoctoral Research, Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University Research Interests: Dr. Hao’s work centers on dissecting the mechanisms underlying GBM initiation, progression, recurrence, and resistance. She investigates tumor heterogeneity, the tumor microenvironment (TME), and sex-based immune differences in GBM. Her studies also explore how telomere dysfunction drives structural variation in glioma cell lines over time, aiming to uncover novel therapeutic targets and advance precision medicine for brain cancer. Publication Trends: Across more than 22 peer-reviewed publications (2017–2025), her research spans three major areas: (1) glioblastoma genomics and therapeutic response, (2) evolutionary genomics of polyploidy and convergent evolution, and (3) computational tool development for single-cell genomics. The most recent papers (2024–2025) emphasize clinical translation, including phase 2 trials and immune-oncology studies in GBM. Laboratory & Collaborations: Dr. Hao is affiliated with the Berens and Barthel Labs at TGen, working closely with interdisciplinary teams to integrate genomic data with clinical outcomes and therapeutic discovery.

• Machine Learning
• Computer Vision
• 3D Geometry
• +۲ مورد دیگر

Dr. Jun Li is a Senior Lecturer at the School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Australia. He received his Ph.D. in Computer Science from Queen Mary University of London in 2009 and is affiliated with the Australian Artificial Intelligence Institute (AAII) at UTS. His research spans multiple domains within artificial intelligence, with primary focus on Machine Learning applications in computer vision and 3D geometry. Dr. Li has published extensively in high-impact journals including IEEE Transactions (TPAMI, TIP, TNNSLS) and Pattern Recognition, with recent work expanding into interdisciplinary research in earth science and marine applications. His research output demonstrates consistent productivity with numerous publications each year across diverse AI application areas. Dr. Li's work shows strong thematic progression from foundational computer vision techniques to applied interdisciplinary research. Early work focused on face hallucination and video super-resolution, while more recent publications address environmental applications using Graph Neural Networks for wave prediction and damage classification for disaster response. His research consistently bridges theoretical AI advances with practical real-world applications across healthcare, autonomous systems, and environmental science. AI to assist disaster emergency response (2023-2026) Applying Generative Adversarial Network in Medical Image Analysis (2020-2021) Big Massive Open Online Course (MOOC) Data Retrieval (2017-2020) As an educator, Dr. Li teaches core courses including '31005 Machine Learning' and '32513 Advanced Data Analytics Algorithms' at UTS, and is available for Masters Research and PhD student supervision, contributing to the development of next-generation AI researchers.

• Mechanical Engineering
• Robotics
• Production Automation
• +۲ مورد دیگر

Jolanta Baskutienė serves as an Associate Professor within the Department of Production Engineering at the Faculty of Mechanical Engineering and Design, Kaunas University of Technology (KTU), where she maintains an active research profile with current institutional affiliation and contact details. Her research expertise centers on Mechanical Engineering, with specialized focus areas including: Robotic systems development Industrial production automation Engineering modeling techniques Functional materials applications These interests drive her contributions to advancing manufacturing technologies and automation processes through practical engineering solutions. Research verification identifiers: ResearcherID: AEU-9890-2022 Scopus ID: 14028096300 ORCID iD: 0000-0001-7360-6132 Scientific awards: No awards documented in provided materials. Academic advising and grant activities: Insufficient data available regarding student supervision or research funding. Research infrastructure: Active participation in KTU's Functional Materials Technologies research group, focusing on interdisciplinary materials engineering applications.

• Computer Science
• Embedded Systems
• Systems-on-Chip (SoC)
• +۳ مورد دیگر

Pavel Kustarev, PhD, is an Associate Professor and Dean at ITMO University's Faculty of Software Engineering and Computer Systems. He also serves as Deputy Head of the Science and Technology Council 'Automated Control, Robotics, Electric Drive,' a senior researcher at the National Center for Cognitive Research, and a member of ITMO's Academic Council. Born in 1971, Leningrad (now St. Petersburg) PhD in engineering (1999) from ITMO University His research focuses on electronic design, systems engineering, and embedded systems , including architectural and functional design of systems-on-chip. He has led numerous practical projects in embedded systems for defense, dual-use, and industrial applications. At ITMO, he has taught over 10 courses in computing systems and supervised students from Bachelor's to PhD levels since 1998. He is actively involved in the International Laboratory 'Architecture and Design Methods of Embedded Systems and Systems-on-Chip.'

• Embedded Systems
• Software Engineering
• Wireless Sensor Networks
• +۶ مورد دیگر

Prof. Dr. Claus Fühner is a Professor of Computer Engineering at the Faculty of Computer Science of Ostfalia University of Applied Sciences. His research interests include: Systems and Software Engineering for embedded systems Implementation of embedded systems from microcontrollers to cloud Functional safety Wireless communication (Bluetooth Low Energy, LoRaWAN) AI, neural networks, and LLMs in technical systems Railway automation Recent research projects (2016-2023) show a focus on practical applications in IoT and embedded systems, with an increasing emphasis on AI and LLMs. Key projects include SmartFreightWagon for railway freight digitalization (2023) and autonomous vehicle research using deep learning (2020). Prof. Fühner regularly supervises student theses and is open to industry collaboration. He can be contacted via email at c.fuehner@ostfalia.de.

João Marreirosمشاهده پروفایل

پژوهشگر

• Paleolithic Archaeology
• Stone Tool Technology
• Experimental Archaeology
• +۴ مورد دیگر

Dr. João Marreiros serves as Head of the Research Group Trace Laboratory (TraCEr) at MONREPOS, part of the Leibniz Research Institute for Archaeology (LEIZA), a position held since 2017. His research pioneers the integration of experimental archaeology, robotics, and traceology to decode Pleistocene stone tool technology and human behavioral evolution. His academic foundation includes: Ph.D. in Archaeology, University of Algarve (2009) Master's in Archaeology, University of Algarve (2007) Licenciatura in Cultural Heritage, University of Algarve Marreiros' work centers on stone tool production mechanics, use-wear analysis, and technological decision-making in Paleolithic contexts. He develops innovative methodologies like robotic experimentation and 3D digital quantification (e.g., 3D-EdgeAngle system) to examine how raw material properties, edge design, and functional demands shaped hominin tool innovation. His research bridges archaeological theory with material science to reconstruct behavioral complexity in early human societies. Recent publications (2020-2025) reveal consistent focus on experimental validation of lithic functionality, with emphasis on edge angle dynamics, use-wear development processes, and technological transitions. These studies employ controlled replication across diverse materials and contexts, contributing methodological advances to use-wear analysis and lithic technology studies. Current leadership of the TraCEr laboratory drives cutting-edge experimental facilities: Robotics platform for controlled tool production/use simulation 3D digital analysis suite for stone tool morphology Specialized equipment for use-wear replication and microscopy Active research funding includes: DFG grant (2024-2027): 'NeanderCloud' (€533,185) integrating computational and experimental approaches Leakey Foundation grant (2024-2026): 'INNOVA' ($20,000) examining technological innovations in the Levant

Tay Fei Siangمشاهده پروفایل

مدرس ارشد

• Intelligent Control System
• Dynamic Fuzzy Modelling of Complex System
• Smart Farming
• +۲ مورد دیگر

Dr. Tay Fei Siang serves as Senior Lecturer and Head of the Department of Robotics and Mechatronics Engineering at Swinburne University of Technology Sarawak Campus within the Faculty of Engineering, Computing and Science. Joining in 2013 as Associate Lecturer, he earned promotion to Senior Lecturer in 2021 while demonstrating leadership in both academic administration and research innovation. His academic credentials include: BEng (Hons) in Electrical and Computer Systems Engineering from Monash University, Australia (2008) PhD in Engineering from Swinburne University of Technology, Australia (2013) focusing on 'Sliding mode learning control for complex systems with dynamic fuzzy models' Dr. Tay's research bridges theoretical control engineering with practical applications across three interconnected domains: intelligent control systems for complex machinery, smart farming technologies addressing agricultural challenges, and wireless communications solutions for rural infrastructure. His work consistently targets Sarawak-specific problems, such as developing cost-effective internet deployment models for remote communities and creating sensor-based systems for precision agriculture. This applied approach transforms theoretical concepts into tangible community benefits while advancing engineering knowledge. Analysis of his 15 most recent publications reveals a strategic evolution from pure control theory (2014-2017) toward interdisciplinary applications (2018-2022), with 70% focusing on smart farming and rural telecommunications. His collaborative approach is evident in co-authorship patterns spanning agricultural science, healthcare technology, and civil engineering domains. Key recognitions include: Swinburne Vice-Chancellor Award 2019 (Community Engagement – Team) Innovation and Technology Expo 2019 dual awards (Gold/Silver) IEM-UTM InvecMax Competition 2021 First Runner Up (as Main Advisor) Innovate Malaysia Sarawak Edition 2022 First Prize in Electronic and IoT Track Dr. Tay actively mentors postgraduate researchers while managing externally funded projects including the Sarawak Digital Economy Research Grant 2019 ('Feasibility study on rural digital infrastructure') and SRDC 2020 grant ('Treated local marine sand in construction'). His supervision style emphasizes real-world problem solving, with students contributing to publications in IEEE transactions and international conferences. Current research directions focus on IoT-enabled agricultural systems and sustainable rural connectivity solutions. Though no dedicated lab name is specified, Dr. Tay leads research groups developing smart irrigation systems, vertical farming monitors, and light-based pest traps, frequently collaborating with Sarawak-based industry partners to ensure practical applicability of研究成果. His work exemplifies engineering solutions tailored to regional needs while maintaining academic rigor.

• Automotive Electronics
• Electric Mobility
• Vehicle Electrical Systems
• +۶ مورد دیگر

Prof. Stephan Zipser is a Professor at HTW Dresden, holding the Chair of Automotive Electronics / Electromobility within the Faculty of Electrical Engineering. His work bridges theoretical electrical engineering principles with practical automotive applications, focusing on the rapidly evolving field of vehicle electrification and electronic systems. His research focuses on: Automotive Electronics and Vehicle Electrical Systems Electric Mobility Solutions and Electromobility Applications Intelligent Charging Strategies for Electric Vehicles Connected Driving Systems and Automated Traffic Technologies Hybrid Powertrain Configurations and Regenerative Braking Systems Prof. Zipser leads the Automotive Electronics/Electromobility Laboratory, which features practical research equipment including a BMW i3 test vehicle, facilities for testing electric paddle boats, and a roller dynamometer, enabling hands-on development and validation of automotive electronic systems. Current and recent research projects include: E-COM (2019-2022): Development and testing of intelligent charging strategies iPaddel (2019): Development of an electric drive for light watercraft Ongoing cooperation with LeXsolar GmbH and ELDEV: Development of an electric go-kart for training purposes Interdis II project (2016-2018): 'Connected Driving' with Prof. T. Trautmann Prof. Zipser maintains active industry partnerships with organizations including DEKRA for specialized training, and participates in international collaborations with Chiba University in Japan. He teaches multiple courses across Electrical Engineering and Vehicle Technology programs at HTW Dresden, with course offerings scheduled through 2026, emphasizing practical application of theoretical concepts in automotive electronics and electric mobility.

Andrew DeVigalمشاهده پروفایل

استاد

• community-centered journalism
• multimedia storytelling
• journalism innovation
• +۵ مورد دیگر

Andrew DeVigal serves as the Endowed Chair in Journalism Innovation and Civic Engagement and Professor of Practice at the University of Oregon's School of Journalism and Communication. He also directs the Agora Journalism Center, which functions as a forum for the future of local news and civic health. His work focuses on how vibrant local information ecosystems contribute to civic health, defined as the ability of diverse communities to work together to address shared problems. DeVigal's research interests center on community-centered journalism, multimedia storytelling, journalism innovation, and civic engagement. He believes that quality, trusted information can improve understanding across community differences. His approach emphasizes user-first design, synthesizing ideas from diverse perspectives, and creating collaborative environments that foster innovation in news delivery. He advocates for interactive storytelling that balances audio, video, and stills to engage audiences with complex narratives. His recent publications reveal a strong focus on the evolving landscape of local journalism, particularly how digital transformation impacts community news ecosystems. The articles demonstrate his expertise in analyzing media sustainability, audience engagement strategies, and the role of technology in journalism. A recurring theme is his concern about misinformation, media fragmentation, and the importance of maintaining trusted local news sources. Emmy award for groundbreaking work at The New York Times Co-author of 'Assessing Oregon's Local News & Information Ecosystem 2022' Creator of industry-recognized initiatives: 'Gather' platform and 'Doers Gathering' toolkit As a bridge builder, DeVigal has led significant collaborations between journalists, technologists, and communities. His leadership has produced tools that support community-minded journalists and drive community-driven solutions to local issues. His work at the Agora Journalism Center represents a commitment to strengthening local news ecosystems through research, innovation, and practical tools for journalists. DeVigal oversees the Agora Journalism Center, which functions as a hub for research, innovation, and practical tools aimed at strengthening local news ecosystems. The center's work includes producing reports, developing platforms like 'Gather,' and creating toolkits such as the 'Doers Gathering' to empower community-centered journalism initiatives across Oregon and beyond.

Fuyuki Ishikawaمشاهده پروفایل

دانشیار

• Software Engineering
• Testing
• Formal Methods
• +۴ مورد دیگر

Fuyuki Ishikawa is an Associate Professor at the Information Systems Architecture Science Research Division of the National Institute of Informatics (NII) in Tokyo, Japan, where he also serves as Director of the GRACE Center. Additionally, he holds positions as Associate Professor at Sokendai (The Graduate University for Advanced Studies) and Visiting Associate Professor at The University of Electro-Communications. His research program, which he describes as 'Trustworthy & Smart Software Engineering,' focuses on dependability in Cyber-Physical Systems and Machine Learning Systems through techniques of formal methods and automated test generation. He investigates verification, reasoning, optimization, automated test generation, and self-adaptation by utilizing various models for requirements, specifications, and designs. His group promotes international and industry-academia collaborations with members from different organizations. Ishikawa's recent work has increasingly concentrated on quantum program testing, autonomous driving systems verification, and quality assurance frameworks for AI systems. His publications demonstrate significant contributions to software engineering, particularly in applying formal methods to emerging domains like quantum computing and machine learning. His research often bridges theoretical foundations with practical applications in safety-critical contexts, particularly for autonomous systems. Awards for Science and Technology (Research Category) from the Minister of Education, Culture, Sports, Science and Technology (April 2024) IPSJ/IEEE Computer Society Young Researcher Award for 'Research on Intelligence-driven Engineering of Dependable Smart Systems' (March 2020) Multiple Best Paper Awards at conferences including ICFEM 2020, SEKE 2020, ICECCS 2019, and ISSRE 2019 Industry Track Best Artifact Award at ISSTA 2015 Ishikawa actively supervises research projects and interns through the ERATO-MMSD Project and MIRAI-eAI Project. He has served on numerous program committees for major software engineering conferences including ASE, ICSE, and ICST, and has organized workshops on machine learning systems engineering (SIG-MLSE) and quality assurance for AI systems (QA4AI). His laboratory provides two main research directions: generative AI for trustworthy software engineering and testing/trust exploration for AI systems, with specific focus on autonomous driving and deep learning applications.

• Remote Sensing
• Ecology
• Conservation Biology
• +۷ مورد دیگر

Nathalie Pettorelli is a Professor at the Institute of Zoology, Zoological Society of London, and holds an Honorary Professor position at University College London. She leads the Environmental Monitoring and Conservation Modelling (EMCM) team at the Institute of Zoology, focusing on developing tools and methodologies for sustainable natural resource management. Her educational background includes a PhD in Ecology & Modelling from University Lyon (1999-2002), a DEA in Ecology & Modelling from University Lyon (1998-1999), and a Master in Ecology from University Paris 5 (1997-1998). Pettorelli's research centers on assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services, with particular emphasis on climate change. She employs a multi-disciplinary approach integrating statistics, remote sensing, and programming to conduct internationally recognized research. Her extensive experience with remote sensing data drives her interest in promoting better integration of satellite-based data in global monitoring programs, particularly for biodiversity conservation applications. Her work spans conservation, ecology, biodiversity monitoring, and applied ecological research, with recent publications demonstrating strong focus on climate change impacts, nature-based solutions, and technological innovations in conservation. Her extensive publication record shows consistent contributions to high-impact journals including Nature Ecology & Evolution, Journal of Applied Ecology, and Trends in Ecology and Evolution, with recent work exploring the intersection of AI, remote sensing, and conservation science. Pettorelli frequently collaborates on horizon scanning exercises to identify emerging conservation issues and has contributed to several book chapters on seabird conservation. Pettorelli has progressed through the academic ranks at the Zoological Society of London, from Post Doctoral Research Fellow (2006-2009), to Research Fellow (2009-2017), Senior Research Fellow (2017-2022), and now Professor (2022-present). Her work demonstrates strong interdisciplinary collaboration across ecology, conservation science, remote sensing, and policy development. She leads the Environmental Monitoring and Conservation Modelling team, which develops innovative approaches to environmental monitoring and conservation planning. Her research group works at the intersection of technology and ecology, developing new methods for biodiversity assessment and conservation decision-making under global environmental change.

• Biophysics
• Biochemistry
• Chemical Biology
• +۳ مورد دیگر

Nikos Hatzakis is a Professor in the Department of Chemistry at the University of Copenhagen, Denmark, based at Universitetsparken 5, 2100 København Ø. He maintains an active research profile through the Hatzakis Lab (https://www.hatzakislab.com) and contributes to interdisciplinary biophysical research with international collaborations. His research spans critical areas in modern biophysics and biochemistry: Single-molecule dynamics and diffusion analysis Protein aggregation in neurodegenerative diseases and diabetes Super-resolution microscopy development and application Deep learning for biological data interpretation Drug delivery mechanisms across biological barriers Recent publications reveal a strong trend toward computational innovation in experimental biophysics, particularly GPU-accelerated tools for single-particle tracking and real-time observation of molecular processes. His work bridges physics, computer science, and biology to decode protein function-aggregation relationships. The Hatzakis Lab drives methodological advances in chemical biology, utilizing cutting-edge imaging to address fundamental questions in cellular biophysics and therapeutic development, with significant cross-institutional partnerships evident in high-impact publications.

• Ergonomics
• Human Life Engineering
• Human Factors
• +۳ مورد دیگر

Akinori Komatsubara is a Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering. With a Doctor of Engineering degree from Waseda University, he has dedicated his career to advancing the fields of Human Life Engineering, Ergonomics, and Safety Engineering. His extensive research and teaching activities focus on understanding human factors in complex systems, with particular emphasis on healthcare safety, transportation systems, and product design for diverse user populations. Professor Komatsubara's educational background includes: 1980: B.E. from Waseda University, Faculty of Science and Engineering, Department of Industrial Engineering and Management His primary research interests span Ergonomics, Human Life Engineering, Human Interface, Usability Engineering, Human Factors, and Safety and Risk Management Systems. His work demonstrates a consistent focus on how human cognition, behavior, and decision-making interact with technological systems in real-world contexts, particularly in high-stakes environments like healthcare and transportation. Professor Komatsubara's research has evolved toward increasingly complex applications of resilience engineering principles, examining how systems can maintain safety and functionality under unexpected conditions. His recent work has focused on medical safety systems, particularly hemodialysis procedures, and developing methods to transfer expert knowledge to novice practitioners. He has also contributed significantly to understanding how elderly users interact with complex technological interfaces, developing rhythm-based assistance systems to reduce cognitive load. His notable scientific awards include: Merit Award (2021) from the Japanese Society of Human Engineering 36th Kitaoka Academic Award (2020) from the Safety Engineering Society Professor Komatsubara has supervised numerous graduate students through thesis guidance and seminars focused on Human Life Engineering and Human Factors Management. His research projects, often funded by the Japan Society for the Promotion of Science, have addressed critical issues in patient safety, driving automation, and organizational resilience. He leads or participates in several research initiatives including: Development of safe ultrasound image presentation methods to reduce operator burden during ultrasound-guided invasive procedures (2021-2024) Design for Driving Automation and Legal Systems Conforming to Human Cognitive Limitations (2015-2020) Construction of bases to develop non-technical skills for medical doctors Development of practical methods and applications of resilience engineering in patient safety