Mahmoud Parto, Ph.D.
About Mahmoud Parto, Ph.D.
Mahmoud Parto, Ph.D., is the Co-Founder and CEO of IoTFlows, with a background in mechanical engineering and experience in leveraging AI for manufacturing insights.
Co-Founder and CEO at IoTFlows
Mahmoud Parto, Ph.D., currently serves as the Co-Founder and CEO of IoTFlows, a position he has held since 2020. Based in Atlanta, Georgia, IoTFlows aims to harness the power of artificial intelligence to monitor and analyze machine performance using vibration and acoustics data. Under his leadership, the company participated in Y Combinator's Winter 2022 batch, which provided valuable exposure and resources to further their mission of offering digital transformation insights for the manufacturing sector.
Graduate Research Assistant at Georgia Institute of Technology
From 2016 to 2019, Mahmoud Parto worked as a Graduate Research Assistant at Georgia Institute of Technology in Atlanta, Georgia. During this three-year tenure, he focused on advanced research in the field of Mechanical Engineering, contributing to academic knowledge and practical applications in engineering.
Co-Founder and Chief Software Architect at Nebullam, Inc.
Mahmoud Parto co-founded Nebullam, Inc. and served as the Chief Software Architect from 2016 to 2020. Based in Ames, Iowa, his role involved overseeing technical development and software architecture. His contributions helped shape Nebullam's technological solutions for indoor farming and agriculture.
Educational Background in Mechanical Engineering
Mahmoud Parto achieved his Ph.D. in Mechanical Engineering from Georgia Institute of Technology, completing the program from 2016 to 2019. Additionally, he earned a Master of Science in Mechanical Engineering from the same institution within a year. Prior to this, he completed his Bachelor of Science degree in Mechanical Engineering from Iowa State University between 2013 and 2016.
Expertise in Industrial AI and Manufacturing Performance
Mahmoud Parto specializes in applying artificial intelligence to monitor and analyze machine performance. His expertise lies in utilizing vibration and acoustics data to identify inefficiencies in production processes, thereby enhancing manufacturing performance. His focus on digital transformation in manufacturing environments enables organizations to optimize their operational efficiency and productivity.