買這商品的人也買了...
-
Federated Learning Systems: Towards Next-Generation AI$6,950$6,603 -
Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks$1,880$1,786 -
Federated Learning for Wireless Networks$6,950$6,603 -
Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions$4,450$4,228 -
Federated Learning: A Comprehensive Overview of Methods and Applications$6,580$6,251 -
Federated Learning for Future Intelligent Wireless Networks$4,820$4,579 -
Handbook on Federated Learning: Advances, Applications and Opportunities$5,380$5,111 -
Federated AI for Real-World Business Scenarios$2,600$2,470 -
Security and Privacy in Federated Learning$6,300$5,985 -
Communication Efficient Federated Learning for Wireless Networks$6,580$6,251 -
Adversarial Multimedia Forensics$6,950$6,603 -
The Potential of Generative AI: Transforming Technology, Business and Art Through Innovative AI Applications$1,650$1,568 -
Federated Learning: Theory and Practice$4,480$4,256 -
Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats$1,820$1,729 -
Unleashing the Power of Data with Trusted AI: A guide for board members and executives$4,480$4,256 -
Security and Risk Analysis for Intelligent Edge Computing$6,970$6,622 -
Industrial Edge Computing: Architecture, Optimization and Applications$7,680$7,296 -
Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th Eai International Conference, Mobiquitous 2023, Melbourne, Vic, Australia, Nov$4,010$3,810 -
LLM Model Security: Strategies, Best Practices, and Future Trends$1,090$1,036 -
LLM and Generative AI for Healthcare: A Comprehensive Guide$1,090$1,036 -
Generative AI Strategy and Implementation: Mastering Techniques and Advanced Applications$890$846 -
Generative AI Transformation: A Guide for Everyone$1,000$950 -
Generative AI for Manufacturing$2,320$2,204 -
Generative AI for Robotics and Autonomous Systems$2,300$2,185 -
Learn Python Generative AI: Journey from autoencoders to transformers to large language models (English Edition)$1,650$1,568
相關主題
商品描述
作者簡介
Kim Phuc Tran is a distinguished Senior Associate Professor (Maître de Conférences HDR, equivalent to UK Reader) of Artificial Intelligence and Data Science at the ENSAIT and the GEMTEX laboratory, University of Lille, France. He holds an Engineer's degree and a Master of Engineering degree in Automated Manufacturing, a Ph.D. in Automation and Applied Informatics from the University of Nantes, and an HDR (Doctor of Science or Dr. habil.) in Computer Science and Automation from the University of Lille, France.
Dr. Tran's research is focused on real-time anomaly detection using machine learning techniques with applications in decision support systems utilizing artificial intelligence, as well as enabling smart manufacturing with IIoT, federated learning, and edge computing. He has published over 75 papers in peer-reviewed international journals and proceedings at international conferences, and edited three books with Springer Nature and Taylor & Francis.
In addition to his academic achievements, Dr. Tran has supervised 9 Ph.D. students and 3 postdocs, and is currently conducting a regional research project on Healthcare Systems with Federated Learning as the Project Coordinator (PI). He has been involved in 8 national and European projects and serves as an Expert and Evaluator for the Public Service of Wallonia (SPW-EER), Belgium, and the Natural Sciences and Engineering Research Council of Canada.
Dr. Tran's contributions to the field of artificial intelligence and data science have been recognized with numerous accolades, including the Award for Scientific Excellence (Prime d'Encadrement Doctoral et de Recherche) from the French Ministry of Higher Education, Research and Innovation for the period of 2021 to 2025 in recognition of his outstanding scientific achievements.
Since 2017, Dr. Tran has also held the position of Senior Scientific Advisor at Dong A University and the International Research Institute for Artificial Intelligence and Data Science (IAD), Danang, Vietnam, where he has been the International Chair in Data Science and Explainable Artificial Intelligence.
作者簡介(中文翻譯)
Kim Phuc Tran是法國里爾大學（University of Lille）ENSAIT和GEMTEX實驗室的著名高級副教授（Maître de Conférences HDR，相當於英國Reader），專攻人工智慧和數據科學。他擁有自動化製造工程師學位和工程碩士學位，以及南特大學（University of Nantes）自動化和應用信息學博士學位，以及里爾大學（University of Lille）計算機科學和自動化的博士（Doctor of Science或Dr. habil.）學位。
Tran博士的研究重點是使用機器學習技術進行實時異常檢測，並應用於利用人工智慧的決策支持系統，以及實現具有工業物聯網（IIoT）、聯邦學習和邊緣計算的智能製造。他在同行評審的國際期刊和國際會議上發表了75多篇論文，並與Springer Nature和Taylor & Francis合作編輯了三本書籍。
除了學術成就外，Tran博士還指導了9名博士生和3名博士後研究員，目前擔任區域研究項目的項目協調人（PI），該項目以聯邦學習為核心，研究醫療系統。他參與了8個國家和歐洲項目，並擔任比利時瓦隆大區公共服務（SPW-EER）和加拿大自然科學和工程研究委員會的專家和評估員。
Tran博士在人工智慧和數據科學領域的貢獻獲得了眾多榮譽，包括法國高等教育、研究和創新部頒發的2021年至2025年科學卓越獎（Prime d'Encadrement Doctoral et de Recherche），以表彰他的傑出科學成就。
自2017年以來，Tran博士還擔任越南峴港的東亞大學（Dong A University）和國際人工智慧和數據科學研究所（IAD）的高級科學顧問，並擔任數據科學和可解釋人工智慧的國際主席。