Gorkem Batmaz

Gorkem Batmaz is a Senior Data Scientist on the RAPIDS-CLX team at NVIDIA. His focus is on applying GPU accelerated high-performance analytics to solve cybersecurity challenges. He developed ML/NLP based predictive maintenance, phishing-DGA-Malware detection, asset classification and periodicity detection solutions that are open source. Prior to joining RAPIDS, Gorkem worked in the cybersecurity team for NVIDIA's autonomous cars division. Before joining NVIDIA in 2011, he worked at Motorola and Alcatel-Lucent. He holds an M.S. in Engineering&Technology Management and a B.S. in Electrical&Electronics Engineering from Bogazici University.
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Posts by Gorkem Batmaz

Technical Walkthrough 1

Designing a New Net for Phishing Detection with NVIDIA Morpheus

Email became one of the most pervasive, powerful communication tools during the digital revolution. Attempts to defraud users by deceptively posing as... 6 MIN READ
Technical Walkthrough 2

Fingerprinting Every Network User and Asset with NVIDIA Morpheus

Traditional approaches to finding and stopping threats have ceased to be appropriately effective. One reason is the scope of ways an attacker can enter a system... 9 MIN READ
Technical Walkthrough 0

Enabling Predictive Maintenance Using Root Cause Analysis, NLP, and NVIDIA Morpheus

Background Predictive maintenance is used for early fault detection, diagnosis, and prediction when maintenance is needed in various industries including oil... 6 MIN READ