Bracha Laufer Goldshtein 2017-2018

Institution of PhD:
Bar-Ilan University
Academic Discipline of PhD:
Electrical Engineering
PhD Advisor/s:
Prof. Sharon Gannot and Prof. Ronen Talmon
Dissertation Topic:
Manifold Learning Techniques for Source Localization and Array Processing
Institution of Postdoc:
Present Academic Position:

Bracha Laufer Goldshtein had always been fascinated by science, technology, mathematics and physics, and she therefore chose the multidisciplinary field of electrical engineering for her academic studies. She won the Rector’s and Dean’s prizes for outstanding undergraduate students at Bar-Ilan University in every year of her BSc studies and graduated summa cum laude, first in her class.  She won the award of the Ministry of Science, Technology and Space for promoting women in science.

Bracha is continuing her studies at Bar-Ilan in the direct PhD track . She completed her MSc studies cum laude and was again first in her class. Under the joint supervision of Prof. Sharon Gannot (Bar-Ilan) and Prof. Ronen Talmon (Technion), she is investigating novel approaches to acoustic signal analysis and processing using geometric learning. In particular, she develops methods for source localization and array processing based on multiple microphone recordings, in adverse challenging noise and reverberation conditions.

Brach’as work emphasizes both theoretical depth and practical relevance, envisioning applications in human-car communication, hearing aids, and smart homes for the benefit of elderly people. The initial results of her research have been published in two papers in a leading journal in signal processing and in five international conference papers.  In parallel with her research work, Bracha is a well-appreciated teaching assistant in undergraduate courses on signal processing and logical circuits, for which she gained high scores in teaching assessment surveys.