Smart and Connected Health: Ai, Iot, and Trustworthy Technologies
暫譯: 智慧與連接健康:AI、IoT 與可信技術

Firouzi, Farshad, Farahani, Bahar, Chakrabarty, Krishnendu

  • 出版商: Springer
  • 出版日期: 2026-04-03
  • 售價: $5,470
  • 貴賓價: 9.5$5,196
  • 語言: 英文
  • 頁數: 711
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032062853
  • ISBN-13: 9783032062857
  • 相關分類: AI Coding物聯網 IoT區塊鏈 Blockchain
  • 海外代購書籍(需單獨結帳)

商品描述

This book provides a comprehensive guide to the groundbreaking technologies underpinning the Smart and Connected Health (SCH) revolution. It aims to demystify the principles, architectures, applications, challenges, and potentials of AI, GenAI, TinyML, LLMs, IoT, Edge-Fog-Cloud Computing, Blockchain, and Trustworthy Technologies within the healthcare context. The authors present a thorough compilation of SCH-related content, designed to meet the needs of researchers and practitioners in this field. It delves into the essential aspects of designing and engineering an advanced SCH solution, incorporating a cross-layer approach from the device level to edge/fog/cloud and further into analytics/applications/services.

  • Offers readers a single-source reference to the state-of-the art in Smart and Connected Health (SCH);
  • Enables readers to appreciate the fusion of various technological realms, shaping a new frontier in healthcare;
  • Showcases diverse real-world applications, such as AI-powered clinical decision support, stress monitoring, non-invasive cancer screening, diabetes management, and pandemic response, demonstrating the practical impact of SCH technologies across healthcare domains;
  • Includes contributions from world-renowned experts from academia and industry .

商品描述(中文翻譯)

本書提供了一個全面的指南,介紹支撐智慧與連接健康(Smart and Connected Health, SCH)革命的突破性技術。它旨在揭開人工智慧(AI)、生成式人工智慧(GenAI)、微型機器學習(TinyML)、大型語言模型(LLMs)、物聯網(IoT)、邊緣-霧-雲計算(Edge-Fog-Cloud Computing)、區塊鏈(Blockchain)及可信技術在醫療保健背景下的原則、架構、應用、挑戰和潛力的神秘面紗。作者呈現了一個全面的SCH相關內容彙編,旨在滿足該領域研究人員和實務工作者的需求。書中深入探討設計和工程先進SCH解決方案的基本方面,採用從設備層到邊緣/霧/雲,進一步到分析/應用/服務的跨層方法。

- 提供讀者一個關於智慧與連接健康(SCH)最前沿技術的單一參考來源;
- 使讀者能夠欣賞各種技術領域的融合,塑造醫療保健的新前沿;
- 展示多樣的實際應用,例如基於AI的臨床決策支持、壓力監測、非侵入性癌症篩檢、糖尿病管理和疫情應對,展示SCH技術在醫療保健領域的實際影響;
- 包含來自學術界和業界的世界知名專家的貢獻。

作者簡介

Dr. Farshad Firouzi is a faculty member and technology entrepreneur with over a decade of experience at the intersection of academia, industry, and innovation. He has held research and academic positions at Duke University, Arizona State University (ASU), imec, and IBM. He has authored more than 90 peer-reviewed publications, edited three scholarly volumes, and served as Principal Investigator on multiple high-impact research projects funded by the National Science Foundation (NSF), the Semiconductor Research Corporation (SRC), and other funding agencies. His research interests span artificial intelligence, edge AI, Internet of Things (IoT), microelectronics, and smart and connected health. Dr. Firouzi's work combines foundational research with translational impact, driving innovation across critical sectors including semiconductors, automotive systems, advanced manufacturing, and digital healthcare. He is recognized for his leadership in shaping emerging research communities. Dr. Firouzi serves on editorial boards such as the IEEE Internet of Things Journal, contributes to the technical program committees of premier conferences including DAC, ICCAD, and DATE, and is the co-founder of the IEEE COINS conference.

Dr. Bahar Farahani received her Ph.D. in Computer Engineering from the University of Tehran and is currently an Assistant Professor at the Cyberspace Research Institute, Shahid Beheshti University. Her research spans artificial intelligence, privacy-preserving machine learning, big data analytics, Internet of Things (IoT), Artificial Intelligence of Things (AIoT), and smart and connected health. She has published over 60 peer-reviewed articles in these areas. In addition to her academic work, Dr. Farahani has extensive experience in research consulting, technology strategy, and the development of data-driven solutions across sectors such as healthcare, smart infrastructure, industrial IoT systems, and AI-integrated platforms. She has held leadership and service roles in the research community, including program chair, session chair, and technical program committee member for international conferences, as well as guest editor for journals such as the IEEE Internet of Things Journal. She was recognized among the world's top 2% most-cited scientists in both 2023 and 2024, according to a global citation analysis conducted by researchers at Stanford University.

Krishnendu Chakrabarty (Fellow, IEEE) received the B.Tech. degree from Indian Institute of Technology Kharagpur, Kharagpur, India, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA, in 1992 and 1995, respectively. He is currently the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering, Arizona State University (ASU), Tempe, AZ, USA, where he is also the Chief Technology Officer (CTO) of the Department of Defense Microelectronics Commons Southwest Advanced Prototyping (SWAP) Hub and the Director of the ASU Center on Semiconductor Microelectronics. Prof. Chakrabarty is a fellow of ACM and American Association for the Advancement of Science (AAAS), and a Golden Core Member of the IEEE Computer Society.

作者簡介(中文翻譯)

Dr. Farshad Firouzi 是一位教職人員及科技企業家,擁有超過十年的學術、產業與創新交匯處的經驗。他曾在杜克大學、亞利桑那州立大學(ASU)、imec 和 IBM 擔任研究及學術職位。他已發表超過 90 篇經過同行評審的出版物,編輯三本學術專著,並擔任多個由國家科學基金會(NSF)、半導體研究公司(SRC)及其他資助機構資助的高影響力研究項目的首席研究員。他的研究興趣涵蓋人工智慧、邊緣 AI、物聯網(IoT)、微電子學以及智慧與連接健康。Dr. Firouzi 的工作結合基礎研究與轉化影響,推動半導體、汽車系統、先進製造及數位健康等關鍵領域的創新。他因在塑造新興研究社群方面的領導力而受到認可。Dr. Firouzi 擔任 IEEE 物聯網期刊的編輯委員會成員,並參與 DAC、ICCAD 和 DATE 等頂尖會議的技術程序委員會,還是 IEEE COINS 會議的共同創辦人。

Dr. Bahar Farahani 於德黑蘭大學獲得計算機工程博士學位,目前是沙希德·貝赫什提大學網絡空間研究所的助理教授。她的研究範疇包括人工智慧、隱私保護機器學習、大數據分析、物聯網(IoT)、物聯網的人工智慧(AIoT)以及智慧與連接健康。她在這些領域已發表超過 60 篇經過同行評審的文章。除了學術工作外,Dr. Farahani 在研究諮詢、技術策略及數據驅動解決方案的開發方面擁有豐富的經驗,涵蓋醫療保健、智慧基礎設施、工業物聯網系統及 AI 整合平台等領域。她在研究社群中擔任過領導及服務角色,包括國際會議的程序主席、會議主席及技術程序委員會成員,並擔任 IEEE 物聯網期刊的客座編輯。根據史丹佛大學研究人員進行的全球引用分析,她在 2023 年和 2024 年被認定為全球前 2% 最被引用的科學家。

Krishnendu Chakrabarty(IEEE 會士)於 1990 年在印度喀拉格普爾印度理工學院獲得 B.Tech. 學位,並於 1992 年和 1995 年在美國密西根大學安娜堡校區獲得 M.S.E. 和 Ph.D. 學位。他目前是亞利桑那州立大學(ASU)電氣、計算機與能源工程學院的微電子學福爾頓教授,同時也是國防部微電子共同體西南先進原型(SWAP)中心的首席技術官(CTO)及 ASU 半導體微電子中心的主任。Chakrabarty 教授是 ACM 和美國科學促進會(AAAS)的會士,也是 IEEE 計算機學會的黃金核心成員。