Paolo Manfredi

ERC sectors

• 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)

• 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

• 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

• 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)

• Collegio di Ingegneria Biomedica. Componente
• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato

PhD

• 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

• 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

• 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

• 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)

• EMC Group (Electromagnetic Compatibility) (DET)

• Michele Cusano. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40^th cycle, 2024-in progress)
• Sara Paknezhad Panahi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th 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

• Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; ... (2024)
  Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks. In: 2024 IEEE 33rd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), Toronto (Can), 06-09 October 2024. ISBN: 979-8-3503-5123-1
  Contributo in Atti di Convegno (Proceeding)
• Manfredi, Paolo; Trinchero, Riccardo (2024)
  Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion. In: 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa), Okinawa, Giappone, 20-24 maggio 2024, pp. 639-642. ISBN: 979-8-3503-4949-8
  Contributo in Atti di Convegno (Proceeding)
• Manfredi, Paolo (2024)
  PROBABILISTIC UNCERTAINTY PROPAGATION USING GAUSSIAN PROCESS SURROGATES. In: INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, vol. 14, pp. 71-104. ISSN 2152-5099
  Contributo su Rivista
• Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, ... (2024)
  Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure. In: 4th URSI Atlantic Radio Science Meeting (AT-RASC), Meloneras (Spain), 19-24 May, 2024. ISBN: 9789463968102
  Contributo in Atti di Convegno (Proceeding)
• Manfredi, Paolo (2023)
  A Stochastic Active Learning Strategy for Gaussian Process Models with Application to the Uncertainty Quantification of Signal Integrity. In: IEEE Electrical Design of Advanced Packaging and Systems (EDAPS 2023), Flic-en-Flac (Mauritius), 12-14 dicembre 2023, pp. 1-3. ISBN: 979-8-3503-8376-8
  Contributo in Atti di Convegno (Proceeding)