Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks

António Gusmão received Licenciado and M.Sc. degrees in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon, Portugal, in 2017 and 2019, respectively. He is with Instituto de Telecomunicações in Lisbon since 2019, where he is now doing his Ph.D. His research interests are in EDA using machine learning approaches and graph theory.Nuno Horta (S’89–M’97–SM’11) received the Licenciado, M.Sc., Ph.D. and Habilitation degrees in Electrical and Computer Engineer from Instituto Superior Técnico (IST), University of Lisbon, Portugal, in 1989, 1992, 1997 and 2014, respectively. In March 1998, he joined the IST Electrical and Computer Engineering Department where he is currently Associate Professor with Habilitation. Since 1998, he is, also, with Instituto de Telecomunicações, where he is Head of the Integrated Circuits Group. He has supervised more than 100 post-graduation works between M.Sc. and Ph.D. theses. He has authored or co-authored more than 150 publications as books, book chapters, international journals papers and conferences papers. He has also participated as Researcher or Coordinator in several National and European R&D projects. He was General Chair of AACD 2014, PRIME 2016 and SMACD 2016 and was Member of the organizing and technical program committees of several other conferences, e.g., IEEE ISCAS, IEEE LASCAS, DATE, NGCAS, etc. He is Associated Editor of Integration, The VLSI Journal, from Elsevier, and usually acts as Reviewer of several prestigious publications, e.g., IEEE TCAD, IEEE TEC, IEEE TCAS, ESWA, ASC, etc. His research interests are mainly in analog and mixed-signal IC design, analog IC design automation, soft computing and data science.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 Invited Assistant Professor in the Department of Electrical andComputer Engineering at 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 Researcher and 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 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 and2021 which was technically sponsored by IEEE, IEEE CEDA and IEEE CAS societies. He is 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 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 B.Sc., M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Instituto Superior Técnico – University of Lisbon (IST-UL), Portugal, in 2011, 2012 and 2015, respectively. He is with Instituto de Telecomunicações since 2011 developing tools forelectronic design automation, where he now holds a postdoctoral research position. He is also Invited Assistant Professor in the Department of Electrical and Computer Engineering at IST-UL. He has authored or co-authored about 50 publications, including books, book chapters, international journals and conferences papers. His current research interests include: electronic design automation tools for analog, mixed-signal and radiofrequency integrated circuits, deep nanometer integration technologies, soft computing, machine learning and deep learning.

• Chapter 1. Introduction.- Chapter 2. Related Work: Machine Learning and Electronic Design Automation.- Chapter 3. Convergence Classifier & Frequency Guess Predictor based on ANNs.- Chapter 4. Process, Voltage and Temperature Corner Performance Estimator using ANNs.- Chapter 5. Conclusions.