|Associate Professor of Industrial and Mechanical Engineering at Northeastern University, Boston|
Sagar Kamarthi is an Associate Professor of Industrial and Mechanical Engineering at Northeastern University, Boston. He is the founding director of MS in Data Analytics Engineering program at Northeastern. He teaches courses in manufacturing, data mining, and machine learning. Dr. Kamarthi received his PhD and MS degrees in Industrial Engineering from The Pennsylvania State University and a BS in Chemical Engineering from Sri Venkateswara University, India.
His research interests are in smart and sustainable manufacturing, predictive analytics for engineering and healthcare applications, and engineering education research. He has published more than 190 articles in internationally reputed journal and conference proceedings and has secured several grants from the National Science Foundation (NSF) and other federal agencies. Through his NSF funded education research grants he co-pioneered Engineering Based Learning (EBL) model (a structured version of project based learning), "Transform" curriculum model to train non-STEM graduates for manufacturing careers, and Mass Customized Instruction (MCI) model to enable personalized learning. Data analytics in engineering education is one of his current interests.