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Professional info​

My research theme is computer vision deep neural network algorithms for surgery and medical simulation. In addition, I am Interested in various engineering methods for medical IoT and pure theoretical algorithms analysis. 

Programming Languages






Arduino, ESP32

Work experience
Technion - Israel Institute of Technology - Research.
Researcher Ph.D. Candidate

​May 2020- present

Researcher Ph.D. Student

​Feb 2020- May 2020

Developing computer vision algorithms based on deep neural networks for open surgery simulations, surgeons skills assessment, and clinical tasks.
Supervisor: Assist. Prof. Shlomi Laufer

Technion - Israel Institute of Technology - Teaching.
TA in IoT Course
Feb 2020- present


TA in Software Engineering course

Mar 2019 – Sep 2019
TA in data structures and algorithm course
Oct 2017 – present
NanoVation G.S. LTD
Signal Processing R&D Engineer.
​2015- 2016
Israeli Military Intelligence
​Sep 2008- Nov 2011

Service in a technological unit in the IDF as a laboratory assistant in the metallurgical laboratory.



Deep Learning

Computer Vision

Machine Learning

Video Analysis

Surgical Simulation

Technion - Israel Institute of Technology.

2019 - present


Doctor of Philosophy - Ph.D. in Applied Mathematics, Current GPA 98

Deep neural network algorithms for open surgery

passed the candidacy exam.

Supervisor Assist. Prof Shlomi Laufer
Technion - Israel Institute of Technology.

​2016 - 2019


Master of Science - MSc in Applied Mathematics, Final examination grade 95, GPA 96, Graduated Summa Cum Laude
Online Algorithms - Online Disjoint Set Cover Without Prior Knowledge
Supervisor Assoc. Prof Yuval Emek
Award from the Foundation for Encouraging Mathematics Excellence, for outstanding MSc thesis.
Technion - Israel Institute of Technology.

​2012 - 2016

Bachelor of Science - BSc in Chemical Engineering GPA 88.9


1. Emek, Yuval, Adam Goldbraikh, and Erez Kantor. "Online Disjoint Set Cover Without Prior Knowledge." 27th Annual European Symposium on Algorithms (ESA 2019). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2019.

2. A. Goldbraikh, A. L. D’Angelo , C. Pugh, S. Laufer. "Tool usage in open surgery video data."  publication descriptionCARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020.


1. Award for outstanding MSc thesis from the foundation for Encouraging Mathematics Excellence. Jun 2019

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