Prasad P. Nair, Ph.D.
About Prasad P. Nair, Ph.D.
Prasad P. Nair, Ph.D., is a Principal Technologist at Brooks Automation with over 20 years of experience in robotics, control systems, and AI/machine learning. He holds eleven US patents and has worked in various engineering roles at companies such as LUUM, AREVA, and Agilent Technologies.
Current Role at Brooks Automation
Prasad P. Nair, Ph.D., serves as Principal Technologist at Brooks Automation since 2022. In this role, he focuses on advancing technologies related to automation and control systems. His extensive background in robotics and AI/machine learning supports the company's initiatives in developing innovative solutions for various industries.
Previous Experience in Machine Learning
Prior to his current position, Nair was the Director of Machine Learning at LUUM from 2019 to 2022. During his tenure in Berkeley, CA, he led projects that integrated machine learning techniques into practical applications, enhancing the company's technological capabilities.
Educational Background
Nair earned both his M.S. and Ph.D. in Electrical & Computer Engineering from the University of Massachusetts Amherst. He also holds a B.Tech in Electrical Engineering from the Indiana Institute of Technology. His academic training laid the foundation for his expertise in mathematical algorithm design and control systems.
Patents and Innovations
Nair holds eleven issued US patents, with several pending applications, in the fields of robotics, control systems, and AI/machine learning. His contributions to these areas reflect his commitment to innovation and advancement in technology.
Technical Skills and Expertise
Nair possesses proficiency in programming languages such as C, C++, Matlab, and Python. He has experience with real-time and embedded systems, and he is skilled in control system analysis and design, machine learning, computer vision, and analytics. His knowledge includes the application of Kalman Filter techniques in various projects.