Paper by ECE-NTUA Ph.D. candidates V. Alimisis and C.Dimas, Diploma Student G. Gennis and Prof. P. P. Sotiriadis received the Best Paper Award (1st Place) in the IEEE ICM 2021

We are pleased to announce that the paper entitled "An Analog Bayesian Classifier Implementation, for Thyroid Disease Detection, Based on a Low-Power, Current-Mode Gaussian Function Circuit" received the Best Paper Award (1st Place) in the IEEE International Conference on Microelectronics (ICM 2021) that was held virtually on December 19 to 22, 2021.

The award-winning paper was co-authored by Vassilis Alimisis (Ph.D. candidate, ECE-NTUA), Georgios Gennis (Diploma Student, ECE-NTUA), Christos Dimas (Ph.D. candidate, ECE-NTUA) and Paul P. Sotiriadis (Professor, ECE-NTUA).

ABSTRACT: The thyroid gland is a small organ that’s located in the front of the neck, wrapped around the windpipe. Τhyroid releases and controls hormones that help the metabolism work correctly. Metabolism plays a main role in many different systems throughout the human body. Thyroid disorder involves the abnormal production of thyroid hormones. In this regard, if a thyroid disease could be detected, patients could take a specific treatment and greatly reduce the symptoms. This work proposes a novel low power, low voltage (0.6V) analog architecture of a Bayesian classifier for thyroid disease detection. The architecture is based on a new Gaussian function circuit and the Lazzaro Winner-Take-All circuit. The proper operation of the analog classifier is verified using a real-world dataset. The proposed architecture is realized in TSMC 90nm CMOS process and was simulated using the Cadence IC Suite.