I am a computer scientist with broad experience in research and engineering execution.
Experience in leading applied research and engineering teams to solve challenging often open-ended problems, and ship great products. For the last few years, I have been developing large-scale systems that leverage machine learning and computer vision for a variety of applications from automatic website design and visual driving analytics to video conferencing.
My areas of interest include machine learning, computer vision, and data-driven algorithms. My specific interests are in deep generative models and creative content creation.
Currently, head of AI research at Wix, where I work on furture looking technologies to enhance and reinvent the website and graphic design experience. Previosuly, I was VP Research at Nexar, building city-scale driving analytics and mapping solutions and before that a Director of Engineering at Vidyo, building global-scale routing infrastructure for video conferencing. I did my PhD in Computer Science at Columbia University (2010).
I like to use large-scale data to design great products and to deliver business impact through novel algorithms. Diverse technical skills at the intersection of AI and large-scale systems:
Deep learning, Machine Learning, Computer Vision
Mathematical modeling and performance analysis of computer systems
Designing large-scale data processing systems
Selected Publications (full list)
"DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer"
Elad Levi, Eli Brosh, Mykola Mykhailych, and Meir Perez
"Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT Architectures"
Eli Brosh, Elad Wasserstein, and Anat Bremler-Barr.
In NOMS 2022, 1-6.
"Accurate Visual Localization for Automotive Applications"
In CVPR Workshops, Long beach, CA,USA, June 2019.
"Spatio-Temporal Action Graph Networks"
In ICCV Workshops, Seoul, Korea, October, 2019.
"DDoS attack on cloud auto-scaling mechanisms"
In IEEE Conference on Computer Communications (INFOCOM), Atlanta, GA, USA, March 2017
"Placement and Assignment in Distributed Network Topologies",
In Performance Evaluation, 115: 1-37, 2017 and IEEE Conference on Computer Communications (INFOCOM), Turin, Italy, April 2013.
"VMTorrent: Scalable P2P Virtual Machine Streaming"
In ACM Sigcomm International Conference on Emerging Networking Experiments and Technologies (CoNEXT),
Nice, France, December 2012.
Invited Talks (full list)
"Towards a Data-Centric AI Development", IMVC, Israel, Oct 2021
"Continuous Deep Learning at the Edge", ITSC'18 Workshop on AI in transportation, Hawaii, US, Nov 2018
"Unified Perception for On-Device Autonomous Driving", DataScience Summit, Israel, May 2018
"Holistic Driver Assistance System Using Smartphones", Big Data in Transportation Workshop , Technion, May 2017
Crashing cars for fun and science
Live vehicle crash tests, Driving intelligence technology showcase, Israel, Oct, 2017