About

Amin Ghaderi, PhD is a highly accomplished Machine Learning Engineer at Google with a strong background in developing machine learning pipelines for detecting and predicting utility originated wildfires. He is the recipient of several accolades, including the Best Paper Award from Power and Energy Conference at Illinois in 2015 and the Graduate Breakthrough Scholar Award from USC in 2016. Amin has also received the Best Reviewer Award from Elsevier's EPSR journal and Exceptional Reviewer Award from IEEE Transaction on Power Delivery in 2017 and 2019, respectively. Amin is currently pursuing an MBA at the University of Illinois with a focus on Business Analytics. He has a diverse educational background, including a Doctor of Philosophy (Ph.D.) from the University of South Carolina, a Bachelor of Science (BS) from the University of Tehran, and multiple master's degrees from the University of Illinois and Duke University. Amin has worked as a Project Engineer at Schweitzer Engineering Laboratories (SEL) and as a Quantitative Research Assistant at the University of South Carolina. He has 9.87 years of relevant experience in the field of machine learning and is proficient in ML and research scientist. Amin has an impressive portfolio of work, which can be viewed on his GitHub page, and he has contributed to several publications in renowned journals. He is a highly motivated individual with a passion for machine learning and a proven track record of delivering exceptional results.