Graduated as Msc in Electrical Engeineering from the Ben Gurion University (the fast track). I am working as an algorithm developer for Alibaba-group's Machine vision lab. I have extensive experience of juggling different tasks and bringing these to a successful conclusion.
Studied in the fast track towards a Master’s degree. Graduated with a GPA of 89. Wrote a thesis about anomaly detection in multi-temporal thermal imaging that led to three oral presentations at conferences.
Graduated with excellence, holding a GPA of 89. Received Intel’s excellence scholarship, the electrical engineering department scholarship and degree of honor.
Fridman, N., Amir, D., Schvartzman, I., Kleinerman, I., Sulkovski, Y., Gorlik, Z., & Kligsberg, S. (2017, May). KINGFISHER: Total Maritime Awareness System. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 1784-1786). International Foundation for Autonomous Agents and Multiagent Systems.
Havivi, S., et al. "Utilizing SAR and Multispectral Integrated Data for Emergency Response." ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016): 493-496.
Havivi, Shiran, et al. "Advanced Interferometric Synthetic Aperture Imaging Radar (InSAR) for Dune Mapping." EGU General Assembly Conference Abstracts. Vol. 18. 2016.
I. Schvartzman, S. Havivi, S. Rotman, D. Blumberg, "Advanced change detection method for Hyperspectral data", XXIII International Society for Photogrammetry and Remote Sensing (ISPRS), Prague, Czech Republic, July 2016
I. Schvartzman, S. Havivi, S. Rotman, D. Blumberg, "Large oil spill classification using SAR images based on spatial histogram" , XXIII International Society for Photogrammetry and Remote Sensing (ISPRS), Prague, Czech Republic, July 2016
I. Schvartzman, S. Havivi, S. Rotman, D. Blumberg, "Advanced change detection method for InSAR data", European Geosciences Union (EGU), Vienna, Austria, April 2016.
Schvartzman, I., Rotman, S. R., & Blumberg, D. G. (2014, December). Anomaly detection in multi-temporal infrared thermography. In Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of (pp. 1-5). IEEE.
Schvartzman, I., Rotman, S. R., & Blumberg, D. G. (2014, December). Multi-pixel anomaly detection in multi-temporal thermography. In Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of (pp. 1-4). IEEE.