Vladan Petrovic
About Vladan Petrovic
Vladan Petrovic is a Principal Algorithm Architect at Synaptics, where he has worked since 2014. He specializes in designing algorithms for computer vision and touch applications, leveraging his extensive experience in digital signal processing from previous roles at Marvell Semiconductor and Aware, Inc.
Current Role at Synaptics
Vladan Petrovic serves as the Principal Algorithm Architect at Synaptics, a position he has held since 2014. In this role, he focuses on the development of algorithms, particularly in the areas of touch and fingerprint applications. His work involves researching and implementing computer vision deep learning algorithms tailored for Internet of Things (IoT) applications. Petrovic's expertise contributes to enhancing the performance and functionality of Synaptics' products.
Previous Experience at Marvell Semiconductor
Prior to his current role, Vladan Petrovic worked at Marvell Semiconductor for several years in various capacities. He served as Principal DSP Systems Engineer and Manager from 2013 to 2014, and as Principal DSP Systems Engineer and Architect from 2012 to 2013. His tenure at Marvell also included roles as Senior Staff DSP Systems Engineer from 2008 to 2012 and Staff DSP Systems Engineer from 2006 to 2008. His extensive experience at Marvell focused on digital signal processing and systems engineering.
Experience at Aware, Inc.
Vladan Petrovic worked at Aware, Inc. as Principal DSP Engineer from 2001 to 2005. During this time, he contributed to the development of digital signal processing technologies. His experience at Aware helped establish a foundation for his subsequent roles in algorithm design and engineering.
Technical Skills and Specializations
Vladan Petrovic specializes in designing algorithms for touch and fingerprint applications. He utilizes a variety of programming languages and tools, including Python, Keras, TensorFlow, Matlab, and C, for algorithm development. His focus on optimizing algorithm performance involves data preparation, training, and testing, ensuring that the algorithms meet the required standards for efficiency and effectiveness.
Research Focus
Vladan Petrovic's research interests include computer vision deep learning algorithms specifically for IoT applications. His work in this area aims to advance the capabilities of devices and systems that rely on visual data processing, contributing to the broader field of artificial intelligence and machine learning.