European Microwave Schools

The European Microwave Week 2023 features two Schools from Bachelor via Master to PhD level:

• The European Microwave Student School for bachelor and master students covers the topic of “Microwave Measurement Techniques” which includes topics in the fields of introduction to metrology, spectrum and signal analysis, network analysis, calibration, and on-wafer measurement techniques.
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• The European Microwave Doctoral School for PhD students entitled "From Microwaves to Machine Learning: Building and Training Artificial Neural Networks for Radar-Based Gesture Recognition" allows participants to enhance their research skills by gaining hands-on experience in building and training artificial neural networks, using FMCW radar-based hand gesture recognition as an application example.

7th European Microwave Student School

Chair: Holger Maune (Otto von Guericke University Magdeburg, Germany)

The European Microwave Week 2023 features the European Microwave Student School for bachelor and master students from all over Europe. The topic is “Microwave Measurement Techniques” which includes topics in the fields of introduction to metrology, spectrum and signal analysis, network analysis, calibration, and on-wafer measurement techniques. The program features highly accepted experts from academia and industry. The course will be formed by two intensive days of lectures accompanied by modern measurement equipment. Beside the lecture program, there will be a career event on Wednesday evening to get in contact with other students, research fellows from universities and companies. The program is designed to lay the foundations, both mathematically and conceptually, for microwave measurements. It will enable a fundamental understanding of high-frequency measurement techniques and will prepare students to become intelligent users of commercial microwave measurement devices. The school is also open to PhD students who are interested in microwave measurements.

The registration fee for this event is 40 €. With the registration, bachelor and master students with a valid student ID of an accredited university will receive a complimentary guest ticket for the Student Career Event (while supply lasts) and to all EuMW technical sessions as well as to the exhibition.

For registration, please visit the registration page. The place is limited, so save your ticket well in advance!

Program

Sunday, September 17th, 09:00 – 18:20

• Introduction, Holger Maune, Chairman European Microwave Student School 2023
• Introduction to Metrology, Gerd Wübbeler, Physikalisch-Technische Bundesanstalt (PTB)
• RF-Power Measurements, Frauke Gellersen & Karsten Kuhlmann, Physikalisch-Technische Bundesanstalt (PTB)
• Spectrum & Signal Analysis, Markus Funk, Rohde & Schwarz
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Sunday, September 17th, 20:00 – 23:00

• Young Professionals Get-Together

Monday, September 18th, 09:00 – 18:40

• Modern Methods for Vector Network Analysis, Joel Dunsmore, Keysight Technologies
• Calibration Techniques for Network Analysis, Bianca Will, Fachhochschule Südwestfalen
• On-Wafer Network Analysis, Gia Ngoc Phung, Physikalisch-Technische Bundesanstalt (PTB)
• Closing Remarks, Holger Maune, Chairman European Microwave Student School 2023

Wednesday, September 20th

• Student Career Event @ Hub27, 12:00 – 15:00
• Student Career Evening Event @ Club Downtown Berlin 20:00 – 01:00

13th Tom Brazil Doctoral School of Microwaves

Chair: Fabian Lurz (Hamburg University of Technology, Germany)

The European Microwave Week 2023 features the 13th Tom Brazil Doctoral School of Microwaves ("From Microwaves to Machine Learning: Building and Training Artificial Neural Networks for Radar-Based Gesture Recognition"), an exclusive opportunity for PhD students to gain hands-on experience in building and training artificial neural networks, using radar-based hand gesture recognition as an application example. Both theoretical fundamentals are taught, and practical understanding is fostered in a hands-on training where participants build and train artificial neural networks themselves. In the morning of the Doctoral School, the necessary fundamentals of FMCW radar, radar signal processing and gesture recognition will be reviewed. This is followed by an introduction to machine learning for microwave engineers, covering the fundamentals of deep learning and network architectures. In the afternoon, participants put the concepts they have learned into practice by using interactive Jupyter notebooks to build and train their own artificial neural networks for radar-based hand gesture recognition.

This program provides participants with valuable experience in applying machine learning techniques to solve real-world problems and enhances their research skills. Beside the workshop program, there will be a career event on Wednesday evening to get in contact with other students, research fellows from universities and companies.

An own laptop is required to participate in the hands-on sessions. Further information about necessary software packages will be sent by the organizer by mail before the event. Basic knowledge of FMCW radar signal processing and programming in Python is beneficial, but not mandatory.

For registration, please visit the registration page. The place is limited, so save your ticket well in advance!

Program

Sunday, September 17th, 09:00 – 18:20

• Welcome, Fabian Lurz, Chairman 13th Tom Brazil Doctoral School of Microwaves
• Fundamentals of FMCW radar, radar signal processing and gesture recognition
• Introduction to machine learning for microwave engineers
• Hands-On: Building and training artificial neural networks for radar-based gesture recognition
• Closing Remarks, Fabian Lurz, Chairman 13th Tom Brazil Doctoral School of Microwaves
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Sunday, September 17^th, 20:00 – 23:00

• Young Professionals Get-Together

Wednesday, September 20th

• Student Career Event @ Hub27, 12:00 – 15:00
• Student Career Evening Event @ Club Downtown Berlin 20:00 – 01:00