Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc Chu

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: machine learning models for radar data

Biography

Ting-ying Chu is a PhD student in the SPS section, working on the ASPIRE project with Justin Dauwels.

Se obtained a Bachelor’s degree in Statistics from National Cheng Kung University, Taiwan, and a Master’s degree in Data Science from RWTH Aachen University. During her Master’s studies, she participated in an exchange program at KU Leuven, where she studied Artificial Intelligence and Natural Language Processing. For her Master’s thesis, she worked at imec, a nanoelectronics R&D hub in Belgium, focusing on object detection using machine learning models and raw radar data.

Towards robust perception of radar images

Machine learning and Signal Processing for radar systems (digital radar, millimeter-wave radar), automotive sensors, and related applications

  1. Continuous Human Motion Recognition With a Dynamic Range-Doppler Trajectory Method Based on FMCW Radar
    Ding, Chuanwei; Hong, Hong; Zou, Yu; Chu, Hui; Zhu, Xiaohua; Fioranelli, Francesco; Le Kernec, Julien; Li, Changzhi;
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,
    Volume 57, Issue 9, pp. 6821-6831, SEP 2019. DOI: 10.1109/TGRS.2019.2908758

  2. A 1-V 560-nW SAR ADC With 90-dB SNDR for IoT Sensing Applications
    Huajun Zhang; Zhichao Tan; Chao Chu; Baozhen Chen; Hongxing Li; Michael Coln; Khiem Nguyen;
    {IEEE} Transactions on Circuits and Systems {II}: Express Briefs,
    Volume 66, Issue 12, pp. 1967--1971, December 2019. DOI: 10.1109/tcsii.2019.2898365
    document

  3. A Review on Water Vapor Pressure Model for Moisture Permeable Materials Subjected to Rapid Heating
    Liangbiao Chen; Jiang Zhou; Hsing-Wei Chu; GuoQi Zhang; Xuejun Fan;
    Applied Mechanics Reviews,
    Volume 70, Issue 2, pp. 020803-1-16, 2018.

  4. Modeling nonlinear moisture diffusion in inhomogeneous media
    L Chen; J Zhou; H Chu; GuoQi Zhang; X Fan;
    Microelectronics Reliability,
    Volume 75, pp. 162-170, 2017.

  5. A GMR Spin-Valve Integrated into a Continuous Time Sigma-Delta Modulator for Quantitative, Real-Time Biosensing
    D.A. Hall; C. Chu; A. Dotey; R.S. Gaster; K.A.A. Makinwa; B. Murmann; S.X. Wang;
    In B Terris; C-R Chang; M-J Tung; B Liu; K Liu (Ed.), IEEE International Magnetics Conference (INTERMAG),
    IEEE, pp. -, 2011.

  6. Noise characteristics and particle detection limits in diode + MTJ matrix elements for biochip applications
    Cardoso, Filipe Arroyo; Ferreira, R; Cardoso, S; Conde, JP; Chu, V; Freitas, PP; Germano, J; Almeida, T; Sousa, L; Piedade, MS;
    IEEE transactions on magnetics,
    Volume 43, Issue 6, pp. 2403-2405, 2007.

  7. Nanotechnology and the Detection of Biomolecular Recognition Using Magnetoresistive Transducers
    Freitas, Paulo P; Ferreira, Hugo A; Cardoso, Filipe Arroyo; Cardoso, Susana; Ferreira, Ricardo; Almeida, José; Guedes, Andre; Chu, Virginia; Conde, João P; Martins, Verónica; others;
    In A Portrait of State-of-the-Art Research at the Technical University of Lisbon,
    Springer Netherlands, pp. 3-22, 2007.

  8. Diode/magnetic tunnel junction cell for fully scalable matrix-based biochip
    F.A. Cardoso; H.A. Ferreira; J.P. Conde; V. Chu; P.P. Freitas; D. Vidal; J. Germano; L. Sousa; M.S. Piedade; B.A. Costa; J.M. Lemos;
    J. Appl. Phys.,
    2006.

  9. Diode/magnetic tunnel junction cell for fully scalable matrix-based biochip
    Cardoso, Filipe Arroyo; Ferreira, HA; Conde, JP; Chu, V; Freitas, PP; Vidal, D; Germano, J; Sousa, L; Piedade, MS; Costa, BA; others;
    Journal of Applied Physics,
    Volume 99, Issue 8, pp. 08B307, 2006.

  10. Scalable Magnetoresistive Biochips For Biomolecular recognition
    Cardoso, Filipe Arroyo; Ferreira, H; Freitas, P; Conde, J; Chu, V; Germano, J; Sousa, L; Piedade, M; Martins, V; Fonseca, L; others;
    In 2006 IEEE International Magnetics Conference (INTERMAG),
    IEEE, pp. 249-249, 2006.

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Last updated: 3 Jun 2025

Ting-Ying Chu