Professional info
My main focus is on computer vision and pattern recognition algorithms for real-world applications.
Work experience
Skills
Research
Algorithms
Deep Learning
Computer Vision
Machine Learning
Video Analysis
Surgical Simulation
Elbit Systems
Senior computer vision researcher
Jun 2023- present
Technion - Israel Institute of Technology - Research.
Ph.D. Studies
Feb 2019- Aug 2023
Recent strides in deep learning and computer vision have sparked considerable interest in leveraging these technologies for the automated analysis of surgical video data. While existing studies have predominantly focused on laparoscopic and robotic surgery, a noticeable gap exists in exploring the potential applications of video analysis in open surgery. This Ph.D. research endeavors to fill this void by pioneering novel algorithms tailored for analyzing both video and motion sensor data to evaluate surgical proficiency in open procedures.
As part of this work, we developed cutting-edge algorithms for action segmentation and tool usage detection using video and motion data—crucial components for assessing surgical skills in open surgery. Our investigation extends to the complexities of online and offline action segmentation, with a keen focus on understanding the system's latency and its impact on real-time performance. Balancing performance with latency emerges as a pivotal consideration for the development of effective real-time systems.
Furthermore, this research introduces a groundbreaking approach—a novel video-based automatic simulator for open surgery. This simulator offers a comprehensive evaluation of a surgeon's skills in a manner that is easily interpretable. This simulator holds promise for home-based training scenarios, providing an accessible and effective platform for honing surgical expertise.
Supervisor: Assist. Prof. Shlomi Laufer
Technion - Israel Institute of Technology - Teaching.
TA in IoT Course
2020- 2023
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.
Education
Technion - Israel Institute of Technology.
2019 - 2023
Doctor of Philosophy - Ph.D. in Applied Mathematics, GPA 97.1
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
Selected 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. Goldbraikh, Adam, Anne-Lise D’Angelo, Carla M. Pugh, and Shlomi Laufer. "Video-based fully automatic assessment of open surgery suturing skills." International Journal of Computer Assisted Radiology and Surgery 17, no. 3 (2022): 437-448.
3. Goldbraikh, Adam, Netanell Avisdris, Carla M. Pugh, and Shlomi Laufer. "Bounded future MS-TCN++ for surgical gesture recognition." In European Conference on Computer Vision, pp. 406-421. Cham: Springer Nature Switzerland, 2022.
4.Goldbraikh, Adam, Tomer Volk, Carla M. Pugh, and Shlomi Laufer. "Using open surgery simulation kinematic data for tool and gesture recognition." International journal of computer assisted radiology and surgery 17, no. 6 (2022): 965-979.
5. Basiev, Kristina, Adam Goldbraikh, Carla M. Pugh, and Shlomi Laufer. "Open surgery tool classification and hand utilization using a multi-camera system." International journal of computer assisted radiology and surgery 17, no. 8 (2022): 1497-1505.
6. Bkheet, Eddie, Anne-Lise D’Angelo, Adam Goldbraikh, and Shlomi Laufer. "Using hand pose estimation to automate open surgery training feedback." International Journal of Computer Assisted Radiology and Surgery 18, no. 7 (2023): 1279-1285.
7. Goldbraikh, Adam, Omer Shubi, Or Rubin, Carla M. Pugh, and Shlomi Laufer. "Kinematic Data-Based Action Segmentation for Surgical Applications." arXiv preprint arXiv:2303.07814 (2023).
Awards
1. Award for outstanding MSc thesis from the foundation for Encouraging Mathematics Excellence. Jun 2019
2. Technion's Excellent Teaching Assistant Award. Jun 2021