Efficient Analog Integrated Circuit Sizing with Genai: Exploring Generative Diffusion Models
暫譯: 使用 Genai 進行高效類比集成電路尺寸設計：探索生成擴散模型

本書專注於類比集成電路設計的自動化，特別是尺寸調整過程。它介紹了一種創新的方法，利用生成式人工智慧，特別是去噪擴散概率模型（denoising diffusion probabilistic models, DDPM）。所提出的方法論為生成符合特定性能約束的電路設計提供了一個穩健的解決方案，顯著改善了傳統技術。通過將先進的機器學習模型整合到設計工作流程中，本書展示了一種變革性的方式，以簡化過程，同時保持準確性和可靠性。

Pedro Eid received a B.Sc degree in Electrical and Computer Engineering from the Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 2023. He is currently completing his M.Sc. degree in the same field. His research interests include Machine Learning and Deep Learning.

Filipe Azevedo received his M.Sc degree in Computer Science and Engineering from the Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 2020. He is currently working on his PhD degree in Electrical and Computer Engineering from the same university, while working with Instituto de Telecomunicações. His research interests include Machine Learning and Generative AI applied to Analog IC Design Automation.

Nuno Lourenço received Licenciado, M.Sc., and Ph.D. degrees in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon, Portugal 2005, 2007, and 2014. He was also an invited Assistant Professor in the Department of Electrical and Computer Engineering of IST-UL from 2015 to 2019, where he was distinguished with two "IST Outstanding Teaching Awards." He has been with Instituto de Telecomunicações in Lisbon since 2005, where he is a researcher and an invited Assistant Professor in the Department of Informatics at the University of Évora since 2021. He has authored, co-authored, and supervised over 80 international scientific publications, including two patents, seven books, three book chapters, 23 international journals, and 47 conference papers, and is/was a supervisor in 2 Ph.D. thesis and 8 M.Sc. dissertations. He is/was involved in the Organizing Committee of several International Conferences such as IEEE ISCAS'15, PRIME'16-21, or SMACD'16-21. He is/was the Publication Co-Chair of the International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design 2016, 2017, 2019, and 2021, and of the Conference on Ph.D. Research in Microelectronics and Electronics (PRIME) 2016, 2019, and 2021 was technically sponsored by IEEE, IEEE CEDA, and IEEE CAS societies. He is the General Chair of SMACD 2022. He has received 12 Scientific Awards and Distinctions, including several "best paper awards," the "Best EDA tool" from SMACD'15 competition, and the "2010 IET DesignVision Award in the category of Semiconductor IP." He has participated in several Scientific projects with national and international Universities and Companies, and he is the Principal Investigator of the ongoing internal HAICAS project funded by IT. His current research interests include AMS/RF IC design, Evolutionary Computation, and Machine Learning applied to Electronic Design Automation and Applied Artificial Intelligence.

Ricardo Martins received the Ph.D. degree in Electrical and Computer Engineering from Instituto Superior Técnico - University of Lisbon (IST-UL), Portugal, in 2015. He is with Instituto de Telecomunicações since 2011 developing electronic design automation tools, and in 2022 became an Assistant Professor of the Electronics scientific area of the Department of Electrical and Computer Engineering of IST-UL. He has participated in more than 100 scientific publications, including first authorships and supervisions in several books and high impact-factor journals. His research interests are: electronic design automation tools for analog, mixed-signal, radio-frequency and millimeter wave integrated circuits; deep nanometer integration technologies; and, applied soft computing, machine and deep learning.

Pedro Eid 於 2023 年獲得葡萄牙里斯本大學高等技術學院 (Instituto Superior Técnico, IST) 電機與計算機工程學士學位。他目前正在完成同一領域的碩士學位。他的研究興趣包括機器學習 (Machine Learning) 和深度學習 (Deep Learning)。

Filipe Azevedo 於 2020 年獲得葡萄牙里斯本大學高等技術學院 (Instituto Superior Técnico, IST) 計算機科學與工程碩士學位。他目前正在該大學攻讀電機與計算機工程的博士學位，同時與電信研究所 (Instituto de Telecomunicações) 合作。他的研究興趣包括應用於類比集成電路設計自動化的機器學習 (Machine Learning) 和生成式人工智慧 (Generative AI)。

Nuno Lourenço 於 2005、2007 和 2014 年分別獲得葡萄牙里斯本大學高等技術學院 (Instituto Superior Técnico) 電機與計算機工程的學士、碩士和博士學位。他曾於 2015 至 2019 年擔任 IST-UL 電機與計算機工程系的邀請助理教授，並獲得兩次「IST 傑出教學獎」。自 2005 年以來，他一直在里斯本的電信研究所 (Instituto de Telecomunicações) 工作，自 2021 年起擔任埃武拉大學 (University of Évora) 資訊學系的研究員和邀請助理教授。他已發表、共同發表和指導超過 80 篇國際科學出版物，包括兩項專利、七本書、三個書章、23 篇國際期刊文章和 47 篇會議論文，並擔任 2 篇博士論文和 8 篇碩士論文的指導教授。他參與了多個國際會議的組織委員會，如 IEEE ISCAS'15、PRIME'16-21 和 SMACD'16-21。他曾擔任 2016、2017、2019 和 2021 年電路設計合成、建模、分析和模擬方法及應用國際會議的出版共同主席，以及 2016、2019 和 2021 年微電子與電子博士研究會議 (PRIME) 的出版共同主席，該會議由 IEEE、IEEE CEDA 和 IEEE CAS 協會技術贊助。他是 SMACD 2022 的總主席。他獲得了 12 項科學獎項和榮譽，包括多個「最佳論文獎」、「SMACD'15 競賽最佳 EDA 工具」和「2010 年 IET 設計視野獎」中的半導體 IP 類別。他參與了多個與國內外大學和公司的科學項目，並擔任目前由 IT 資助的內部 HAICAS 項目的首席研究員。他目前的研究興趣包括 AMS/RF IC 設計、進化計算和應用於電子設計自動化及應用人工智慧的機器學習 (Machine Learning)。

Ricardo Martins 於 2015 年獲得葡萄牙里斯本大學高等技術學院 (Instituto Superior Técnico - University of Lisbon, IST-UL) 電機與計算機工程博士學位。他自 2011 年以來一直在電信研究所 (Instituto de Telecomunicações) 開發電子設計自動化工具，並於 2022 年成為 IST-UL 電機與計算機工程系電子科學領域的助理教授。他參與了超過 100 篇科學出版物，包括多本書籍和高影響因子的期刊中的第一作者和指導。他的研究興趣包括：用於類比、混合信號、射頻和毫米波集成電路的電子設計自動化工具；深納米集成技術；以及應用軟計算、機器學習和深度學習。