Team

Institute Management

Prof. Dr. sc. techn. Christian Schuster
Prof. Dr. sc. techn. Christian SchusterHead of Institute
“Creating smart applications and novel characterization techniques for electromagnetic fields and waves in electrical engineering is my passion. In research and education we explore future solutions for electromagnetic compatibility (EMC), signal integrity (SI), and power intergrity (PI) in combination with machine learning and AI.”
Dr. Cheng Yang
Dr. Cheng YangSenior Engineer
“There is always a better way to enhance your designs through increasingly advanced modeling and measurement techniques in electromagnetic (EM) engineering. In science and engineering, we address challenging problems and develop attractive solutions in areas such as electromagnetic compatibility (EMC), bioelectromagnetics (BioEM), and reconfigurable EM surfaces, integrating machine learning techniques and software-defined hardware.”

Staff

Dipl. Kffr. Pelin Usta
Dipl. Kffr. Pelin UstaAssistant
Volker Paulsen
Volker PaulsenTechnical Staff
Stefan Conradi
Stefan ConradiTechnical Staff
Johannes Alfert
Johannes AlfertApplication programmer

Scientific staff

Morten Schierholz
Morten SchierholzScientific Staff
“The development of new design solutions for printed circuit board based power integrity applications is what keeps me curious about synergy effects of machine learning and physics based tools. Therefore, I am looking at different areas outside the EMC world to adapt e.g. neural networks and apply them within my field. Looking at the possibilities and the difficulties thrives my research.”
Hamideh Esmaeili
Hamideh EsmaeiliScientific Staff
“Asking insightful questions and trying to provide effective answers helps us grow. I am passionate about tackling complex electromagnetic problems and devising innovative solutions. My current focus is on adapting machine learning methods to address bio-electromagnetic compatibility issues, which are crucial for human and environment safety. My goal is to develop efficient, comprehensive frameworks that enhance performance in solving these vital challenges and assist to deliver reliable results.”
Til Hillebrecht
Til HillebrechtScientific Staff
“I am focused on advancing the development of ultra-high-speed PCB interconnects through innovative research and technology. Leveraging machine learning methods, my goal is to enhance the design process for high-speed connections, aiming for faster and more efficient data transport. I am working on creating a comprehensive SI/PI database to develop a hybrid design flow that combines data-driven and physics-based methods for improved performance.”
Lennart Bohl
Lennart BohlScientific Staff
“The way forward to meet the technological challenges of solving humanity’s problems, such as combating climate change, is through scientific progress. My research is on EMC filters for electric vehicles and is in collaboration with a partner from industry. I explore new approaches to finding innovative and relevant solutions to improve development by means of modeling, simulation, and data-driven methods.”

Academic Guests and Scholar

Jose Enrique Hernandez Bonilla
Jose Enrique Hernandez BonillaExternal Ph. D. Student
Youcef Hassab
Youcef HassabScholar of the Konrad Adenauer Foundation
” Harnessing the power of machine learning (ML) tools to develop smart solutions in the fields of electromagnetic compatibility (EMC), signal integrity (SI), and power integrity (PI) is what keeps me busy. I strive to adapt and use ML in data efficient paradigms to enhance performance and reliability. I am dedicated to socially responsible engineering for technology that benefits humanity. ”
Dr.Ing. Heinz Brüns
Dr.Ing. Heinz BrünsFormer Senior Engineer

Student Research Assistants

Tommy Weber
Tommy Weber
Research Assistant

Jan Hessling
Jan Hessling
Master Thesis

Malte J. Thode
Malte J. Thode
Research Project

Sediq Abdullah
Sediq Abdullah
Bachelor Thesis

Rapahel Kamos
Rapahel Kamos
Bachelor Thesis

Ashwin Abraham Thomas
Ashwin Abraham Thomas
Research Project

Kowsalya Thirupathi Raja
Kowsalya Thirupathi Raja
Research Project