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
Python
PyTorch
Matlab
C++
Latex
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.
Skills
Research
Algorithms
Deep Learning
Computer Vision
Machine Learning
Video Analysis
Surgical Simulation
Education
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
Publications
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.
Awards
1. Award for outstanding MSc thesis from the foundation for Encouraging Mathematics Excellence. Jun 2019