Student workshop

Title	Supervisor	Description
1. What cannot you do without THz?	Prof. Michael Feiginov, michael.feiginov@tuwien.ac.at TU Wien, Vienna, Austria	Bassically, all presently-discussed potential applications in the THz frequency range have alternative solutions with more conventional technology. High-speed communication. Well, why not to do that with lasers? Or at frequencies below ~300 GHz? THz imaging. Why not optical and IR imaging? Why not RF imaging in the range up to ~100 GHz? Higher resolution at THz frequencies? Well, you will not see through the clothes and packages because of the high water absorption in the THz range anyway. What is unique about THz? What cannot you do without it? Figure out possible applications. (Radioastronomy is excluded…)
2. Limits for sensing of biomolecules with THz radiation	Prof. Alvydas Lisauskas, alvydas.lisauskas@ff.vu.lt CENTERA Labs, Warsaw, Poland and Vilnius University, Lithuania	The distinct feature known as spectral “fingerprints” which distinquish many molecules and compounds in the THz frequency range is one of the strong aspects promoting recent development of THz technologies. Much of the attention is given to biosensing with the result that THz techniques became competitive with established bioanalytical methods. On the other hand, alternative electronic-based methods are emerging as for example, nanopore DNA sequencing enabling a direct, real-time analysis of long DNA or RNA fragments by monitoring current change as nucleic acids are passed through a nanopore. Therefore, it is of interest to evaluate the current trend in THz sensing techniques with respect to possible improvements of sensitivity. What should be done to be able to identify single molecule or even a fragment of genetic material?
3. Body-centric structure design by deep learning	Prof. Zbyněk Raida, raida@vut.cz Brno University of Technology, Czech Republic	Within the project, an artificial intelligence is going to be exploited for the genuine design of body-centric components to be used for sensing vital functions, in-body and on-body communication. Substituting a human intelligence by an artificial one in the design of body-centric systems should be the ambition of the project. A deep learning which mimics a human designer of such components has not been described in the open literature yet. Exploitation of deep learning for reverse engineering and the design of components operating in highly stochastic environments should be further contributions of the project. In [1], we used deep structures for the classification of planar microwave structures. In consecutive steps, we identified edges on a photograph of a planar filter, estimated an equivalent circuit of a corresponding filter and revealed the type and the order of filtering structure. That way we proved that deep reverse models can be created.
4. Adaptive antennas for vehicle-to-everything communications	Prof. Dmitry Lyubchenko, dml@kth.se CENTERA Labs, Warsaw, Poland and Royal Institute of Technology, Stockholm, Sweden	General description:  Please, design  communication system in application to vehicle-to-everything intelligent transportation system and combine it with standard 5G/6G communication systems and networks.
5. Beamforming and how does it make wireless better?	Prof. Yevhen Yashchyshyn, yevhen.yashchyshyn@pw.edu.pl Warsaw University of Technology, Poland
6. Non-invasive blood coagulation measurement using millimeter-wave spectroscopy	Prof. Viktor Krozer , krozer@physik.uni-frankfurt.de Goethe University Frankfurt, Germany
7. Life-time detection with microwave and THz radiation	Prof. Sasha Preu, preu@imp.tu-darmstadt.de Darmstadt Technical University, Germany	Contact-less patient monitoring is a fast evolving field in medicine. The beauty is that contact-less techniques do not require invasive access to the patient’s metabolism/body and can even work passively. One direction is integrating sensors in or around the patient’s bed in order to monitor his/her health state. The goal of this project is to research the literature and propose solutions for monitoring both pulse and breathing action of a patient with microwaves or Terahertz radiation.
8. High-resolution vibration amplitude and frequency measurement	Prof. Karel Hoffmann, hoffmann@fel.cvut.cz Czech Technical University in Prague, Czech Republic
9. Develop a system for breath gas analysis for revealing illnesses	Prof. Janusz Smulko, janusz.smulko@pg.edu.pl Gdańsk University of Technology, Poland and Prof. Shihab Al-Daffaie, s.al-daffaie@tue.nl Eindhoven University of Technology, Netherlands	A proof-of-concept study showing the potential of a chemical gas sensors system to identify the patients with selected diseases through exhaled breath analysis. The sensors system should employ an array of gas sensors (commercial e.g., MiCS-6814, TGS8100 or selected prototype construction) optimized for the measurement of common breath volatile organic compounds. The end-tidal phase of patients exhaled breath have to be collected and analysed. Selected parameters of gas sensors have to be analyzed and processed by detection algorithms.
10. THz micron-scale sensing of electrical conductivity	Prof. Hartmut Roskos, roskos@physik.uni-frankfurt.de Goethe University Frankfurt, Germany
11. Packaging and Integration of Silicon-ICs with Antennas/Waveguides	Prof. Piyush Kaul, p.kaul@tue.nl Eindhoven University of Technology, Netherlands