PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Optimal Inverse Design of Antennas and Scatterers (insegnamento su invito)

01TKRRV

A.A. 2024/25

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino

Course structure
Teaching Hours
Lezioni 20
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Vecchi Giuseppe Professore Ordinario IINF-02/A 2 0 0 0 1
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
Questions of how good electromagnetic devices can be and how to design optimal devices are central in antenna technology, electromagnetics, and photonics. In this course, we provide tools to answer these questions and ultimately design optimal devices. Optimality is determined from physical bounds which are formulated as optimization problems or sum rules. These optimization problems are solved using convex optimization techniques and contribute to a fundamental understanding of the tradeoffs between for example electrical size, Q-factor, radiation efficiency, gain, directivity, and capacity for antennas of arbitrary shape. The bounds are compared with classical and optimized designs. The course also covers inverse design techniques, including topology optimization, surrogate modeling, and heuristics.
Questions of how good electromagnetic devices can be and how to design optimal devices are central in antenna technology, electromagnetics, and photonics. In this course, we provide tools to answer these questions and ultimately design optimal devices. Optimality is determined from physical bounds which are formulated as optimization problems or sum rules. These optimization problems are solved using convex optimization techniques and contribute to a fundamental understanding of the tradeoffs between for example electrical size, Q-factor, radiation efficiency, gain, directivity, and capacity for antennas of arbitrary shape. The bounds are compared with classical and optimized designs. The course also covers inverse design techniques, including topology optimization, surrogate modeling, and heuristics.
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In this course, we provide tools to answer these questions and ultimately design optimal devices. Guest lecturer: - Prof. Mats Gustafsson (Full Professor at Lund University, Sweden): He is a Professor in the Department of Electrical and Information Technology at Lund University (LU), Sweden, where he has held various academic positions since 2000. He received his Ph.D. in Electromagnetic Theory from LU in 2000, following a Licentiate in Engineering in 1998 and a Master of Science in Engineering Physics in 1994. His research focuses on electromagnetic theory, antenna technology, and computational electromagnetics. Mats has published over 120 refereed journal papers, five patents, and several book chapters, with an H-index of 45. He has been a member of numerous academic committees, including as an opponent for PhD and licentiate dissertations at universities such as DTU, Uppsala, and Chalmers. Mats is also an entrepreneur, having co-founded Phase Holographic Imaging and MxWaves, and contributed to patents related to his research. He has received several prestigious awards, including the IEEE Schelkunoff Transactions Prize Paper Award (2010) and the IEEE Uslenghi Letters Prize Paper Award (2019). Additionally, he has served as a reviewer for major research funding bodies and as a lecturer and course coordinator for various courses on electromagnetics and antenna technology at LU.
In this course, we provide tools to answer these questions and ultimately design optimal devices. Guest lecturer: - Prof. Mats Gustafsson (Full Professor at Lund University, Sweden): He is a Professor in the Department of Electrical and Information Technology at Lund University (LU), Sweden, where he has held various academic positions since 2000. He received his Ph.D. in Electromagnetic Theory from LU in 2000, following a Licentiate in Engineering in 1998 and a Master of Science in Engineering Physics in 1994. His research focuses on electromagnetic theory, antenna technology, and computational electromagnetics. Mats has published over 120 refereed journal papers, five patents, and several book chapters, with an H-index of 45. He has been a member of numerous academic committees, including as an opponent for PhD and licentiate dissertations at universities such as DTU, Uppsala, and Chalmers. Mats is also an entrepreneur, having co-founded Phase Holographic Imaging and MxWaves, and contributed to patents related to his research. He has received several prestigious awards, including the IEEE Schelkunoff Transactions Prize Paper Award (2010) and the IEEE Uslenghi Letters Prize Paper Award (2019). Additionally, he has served as a reviewer for major research funding bodies and as a lecturer and course coordinator for various courses on electromagnetics and antenna technology at LU.
In presenza
On site
Presentazione orale
Oral presentation
P.D.1-1 - Febbraio
P.D.1-1 - February
February - May
February - May