Michael Pukish
About Michael Pukish
Michael Pukish is a Senior Research Engineer with expertise in machine learning and computational intelligence. He holds a Ph.D. in Electrical and Computer Engineering from Auburn University and has worked at IERUS Technologies Inc. since 2018, following previous roles at Symantec and Auburn University.
Work at IERUS Technologies
Michael Pukish serves as a Senior Research Engineer at IERUS Technologies Inc, located in the Huntsville, Alabama Area. He has been with the company since 2018, contributing to various research and development initiatives. His work focuses on advanced machine learning techniques and their applications in defense and aerospace sectors. Pukish's role involves designing and implementing innovative solutions that enhance missile detection and tracking capabilities.
Education and Expertise
Michael Pukish earned his Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering from Auburn University, completing his studies from 2009 to 2014. He also holds a Master's degree in the same field, obtained between 2009 and 2013, and a Bachelor of Science (BS) degree. His academic research included the development of novel algorithms in machine learning and computational intelligence. Pukish specializes in various machine learning techniques, including neural networks, fuzzy systems, and deep learning architectures.
Previous Experience at Symantec
Prior to his current position, Michael Pukish worked at Symantec as a Senior Principal Research Engineer and Data Scientist for 10 months in 2017. He previously held the role of Principal Research Engineer/Data Scientist at Symantec from 2014 to 2017 for three years. During his tenure, he focused on developing cybersecurity solutions and contributed to projects that involved machine learning applications.
Research and Development Contributions
Michael Pukish has been involved in significant research and development projects throughout his career. He has designed proprietary solid-state data recorders and interfaces for aerospace applications. His work also includes projects related to missile detection and tracking using machine learning. Additionally, he has engaged in initiatives that leverage 3D-printing technologies for space environments.
Patents and Technical Skills
Michael Pukish holds patents in machine learning and anomaly detection, specifically targeting applications in cybersecurity. He possesses expertise in a wide range of programming languages, including Python, MATLAB, C/C++, Verilog, and VHDL. His experience also includes electrical engineering board design, particularly focusing on space-qualified and radiation-hardened systems. Pukish is actively involved in developing cybersecurity solutions for the Industrial Internet of Things and critical infrastructures.