Full Professor (L. 240)
Department of Electronics and Telecommunications (DET)
Profile
Research interests
Biography
Paolo Manfredi (S'10–M'14–SM'18) received the M.Sc. degree in electronic engineering from the Politecnico di Torino, Turin, Italy, in 2009, and the Ph.D. degree in information and communication technology from the Scuola Interpolitecnica di Dottorato, Politecnico di Torino, in 2013. From 2014 to 2017, he was a Post-Doctoral Research Fellow of the Research Foundation–Flanders (FWO) with the Electromagnetics Group, Department of Information Technology, Ghent University, Ghent, Belgium. He is currently a Full Professor with the EMC Group, Department of Electronics and Telecommunications, Politecnico di Torino. His research interests comprise the several aspects of circuit and interconnect modeling and simulation, including uncertainty quantification, surrogate modeling, signal integrity, and electromagnetic compatibility. Dr. Manfredi was a recipient of the Outstanding Young Scientist Award at the 2018 Joint IEEE International Symposium on Electromagnetic Compatibility & Asia-Pacific Symposium on Electromagnetic Compatibility, the Best Paper Award at the 2016 IEEE Electrical Design of Advanced Packaging and Systems Symposium, the Best Oral Paper Award and the Best Student Paper Award at the 22nd and 19th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, respectively, the Young Scientist Award at the XXX International Union of Radio Science General Assembly and Scientific Symposium, and an Honorable Mention at the 2011 IEEE Microwave Theory and Techniques Society International Microwave Symposium. He is currently serving as an Associate Editor for IEEE Journal on Multiscale and Multiphysics Computational Techniques.
Scientific branch
(Area 0009 - Industrial and information engineering)
Research topics
- Active learning methods for the design, optimization, and uncertainty quantification of metasurfaces and integrated circuits
- Gaussian process regression for uncertainty quantification
- Hybrid polynomial chaos and machine learning methods for accurate high-dimensional uncertainty quantification
Skills
ERC sectors
Awards and Honors
- Best Paper Award EPEPS conferred by EPEPS Conference, United States (2010)
- Premio Optime conferred by Unione Industriale di Torino, Italy (2010)
- URSI Young Scientist Award conferred by International Union of Radio Science, Belgium (2011)
- Honorable Mention - IMS conferred by IEEE MTT-S International Microwave Symposium, United States (2011)
- Best Paper Award EPEPS conferred by EPEPS Conference, United States (2013)
Editorial boards
- IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES (2021-), Associate Editor of magazine or editorial series
- INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS (2020-), Associate Editor of magazine or editorial series
- MATHEMATICAL PROBLEMS IN ENGINEERING (2018-), Associate Editor of magazine or editorial series
Conferences
- IEEE Workshop on Signal and Power Integrity (SPI), Program committee
- 21st IEEE Workshop on Signal and Power Integrity (SPI 2017) (1/1/2017-10/5/2017), Program chair
- IEEE Conference on Electrical Performance of Electronic Packages and Systems (EPEPS), Program committee
- 20th IEEE Workshop on Signal and Power Integrity (SPI 2016), Program chair
Other research or teaching roles outside Politecnico
- Ricercatore, presso Fonds Wetenschappelijk Onderzoek
- Visiting Researcher, presso Universiteit Gent (16/5/2013-14/6/2013)
- Visiting Researcher, presso Universiteit Gent (16/4/2012-13/7/2012)
- Visiting Researcher, presso University of Maryland (6/2/2012-30/3/2012)
- Visiting Researcher, presso University of Maryland (13/6/2011-1/7/2011)
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Biomedica. Componente
- Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
Teachings
PhD
- Spectral and machine learning methods for uncertainty quantification. A.A. 2025/26, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Teaching assistant
- Spectral and machine learning methods for uncertainty quantification. A.A. 2023/24, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Teaching assistant
- Spectral and machine learning methods for uncertainty quantification. A.A. 2022/23, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Teaching assistant
- Spectral and machine learning methods for uncertainty quantification. A.A. 2020/21, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Teaching assistant
- Spectral and machine learning methods for uncertainty quantification. A.A. 2019/20, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Teaching assistant
Master of Science
- Signal and power integrity. A.A. 2025/26, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
- Advanced design for signal integrity and compliance. A.A. 2024/25, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
- Advanced design for signal integrity and compliance. A.A. 2023/24, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
- Advanced design for signal integrity and compliance. A.A. 2022/23, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
Bachelor of Science
- Reti e sistemi complessi: dai social network alle reti neurali. A.A. 2025/26, INGEGNERIA ELETTRONICA. Collaboratore del corso
- Elettrotecnica. A.A. 2025/26, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2024/25, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2023/24, INGEGNERIA FISICA. Collaboratore del corso
- Elettrotecnica. A.A. 2023/24, INGEGNERIA ELETTRONICA. Collaboratore del corso
- Elettrotecnica. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Elettrotecnica. A.A. 2023/24, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2022/23, INGEGNERIA FISICA. Collaboratore del corso
- Elettrotecnica. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Elettrotecnica. A.A. 2022/23, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2021/22, INGEGNERIA FISICA. Collaboratore del corso
- Elettrotecnica. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Elettrotecnica. A.A. 2021/22, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2020/21, INGEGNERIA BIOMEDICA. Titolare del corso
- Elettrotecnica. A.A. 2020/21, INGEGNERIA ELETTRONICA. Collaboratore del corso
- Elettrotecnica. A.A. 2019/20, INGEGNERIA ELETTRONICA. Collaboratore del corso
- Elettrotecnica. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Elettrotecnica. A.A. 2019/20, INGEGNERIA BIOMEDICA. Titolare del corso
Research
Research fields
- Compact dynamical modeling (DET)
- Modeling and Characterization of Cable Bundles and Interconnects (DET)
- Modeling and simulation of switching circuits (DET)
- Novel modeling concepts of complex interconnected energy systems (Gas, Power,…) (DET)
- Stochastic analysis of circuits, cables, and interconnects (DET)
Research groups
Supervised PhD students
- Michele Cusano. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
- Sara Paknezhad Panahi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
Research subject: Machine learning, Optimization, Metasurfaces, 5G, 6G, IoT
Big Data, Machine Learning, Neural Networks and Data Science Communication and Computer Networks Optical and Wireless Digital Transmissions Systems Big Data, Machine Learning, Neural Networks and Data Science Communication and Computer Networks Optical and Wireless Digital Transmissions Systems Big Data, Machine Learning, Neural Networks and Data Science Communication and Computer Networks Optical and Wireless Digital Transmissions Systems - Kun Zhao. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-in progress)
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
- Zhao, Kun; Grivet-Talocia, Stefano; Manfredi, Paolo; Yan, Yuan; Li, Hongjie (2025)
Detection and Evaluation of Shield Damage Defects in Power Cables Using an Improved Dual-Frequency Time–Frequency Domain Reflectometry. In: ENERGIES, vol. 18. ISSN 1996-1073
Contributo su Rivista - Cusano, Michele; Trinchero, Riccardo; Stievano, Igor S.; Grivet-Talocia, Stefano; ... (2025)
A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines. In: 2025 IEEE 29th Workshop on Signal and Power Integrity (SPI), Gaeta (Ita), 11-14 May 2025, pp. 1-3. ISBN: 979-8-3315-2061-8
Contributo in Atti di Convegno (Proceeding) - Atlante, Marco; Trinchero, Riccardo; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor S. (2024)
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression. In: IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), Bangalore (Ind), 17-19 December 2024, pp. 1-3
Contributo in Atti di Convegno (Proceeding)