Jasmin Grosinger

Jasmin Grosinger

Status

  • Vice Chair (Mentoring, Diversity & Inclusion), Meetings and Symposia Committee, Standing Committees**
  • Member, RWW ExCom, Meetings and Symposia Committee, Standing Committees**
  • Vice-Chair, Subcommittee: Women in Microwaves (WiM), Member and Geographic Activities Committee, Standing Committees**
  • Vice-Chair, Publications Committee, Standing Committees**
  • Member, Subcommittee: DML Selection, Technical Coordination & Future Directions Committee, Standing Committees**
  • Member, IoT Working Group, Technical Coordination & Future Directions Committee, Standing Committees**
  • Member, Wireless Power Transfer Working Group, Technical Coordination & Future Directions Committee, Standing Committees**
  • Member, AI and Machine Learning Based Technologies for Microwaves Working Group, Technical Coordination & Future Directions Committee, Standing Committees**
  • Member, TC-25 WIRELESS POWER TRANSFER AND ENERGY CONVERSION, Technical Committees**
  • dml, TC-26 RFID, WIRELESS SENSOR AND IOT, Technical Committees**
  • Member, TC-26 RFID, WIRELESS SENSOR AND IOT, Technical Committees**
  • 2025, Term expires at end of, Adcom Elected Members**
  • Microwave and Wireless Technology Letters, Publications**
  • Letters Editors, Microwave and Wireless Technology Letters, Publications**
  • Associate Editor, Letters Editors, Microwave and Wireless Technology Letters, Publications**
Contact
Graz University of Technology Institute of Microwave and Photonic Engineering, Inffeldgasse 12 Graz 8010 Austria

Biography

Jasmin Grosinger is an Associate Professor at the Graz University of Technology, Austria. After receiving her MSc from the Vienna University of Technology, Austria, she was a Project Assistant with the Institute of Telecommunications, Vienna University of Technology, and a Laboratory Associate with Disney Research, Pittsburgh, USA. In 2012, she received her PhD from the Vienna University of Technology. Since 2013, Jasmin has been with Graz University of Technology, working on ultra-low-power microwave components and systems at the Institute of Microwave and Photonic Engineering. In recent years, she also was a Guest Professor at the Institute of Electronics Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Germany. Jasmin is an IEEE Senior Member, has authored more than 70 peer-reviewed publications, and holds one US patent. She is actively involved in the Technical Program and Steering Committees of various microwave-related conferences and is an Associate Editor of the IEEE Microwave and Wireless Technology Letters. She is a member of the IEEE Microwave Theory and Techniques Society (MTT-S). Within MTT-S, she serves as a Distinguished Microwave Lecturer (Tatsuo Itoh DML class of 2022–2024). Since 2023, she has served as an Elected Voting Member of the IEEE MTT-S Administrative Committee (AdCom).

Presentations

RF Design for Ultra-Low-Power Wireless Communication Systems: Efficiently Miniaturizing and Passively Sensing

In this talk, I will present radio frequency (RF) design solutions for wireless sensor nodes to solve sustainability issues in the Internet of things (IoT), which arise due to the massive deployment of wireless IoT nodes on environmental and economic levels. Engineers can apply these RF design solutions to improve the ultra-low-power operation of IoT nodes, avoid batteries’ eco-toxicity, and decrease maintenance costs due to battery replacement. The presented solutions offer high integration levels based on system-on-chip and system-in-package concepts in low-cost complementary metal-oxide-semiconductor technologies to limit costs and carbon footprints of these nodes. Within this research context, I will present solutions for ultra-low-power wireless communication systems based on high frequency (HF) and ultra-high frequency (UHF) radio frequency identification (RFID) technologies. In particular, I will present RF design solutions for HF and UHF RFID systems that reveal how to develop passive miniaturized IoT nodes that operate robustly in harsh application environments and how to create batteryless or rather passive IoT nodes, which provide passive sensing capabilities and work robustly in their respective application environment.

The 10-minute preview video:

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