Ravikanth Vajjha
About Ravikanth Vajjha
Ravikanth Vajjha is a Lead Refrigeration Research Engineer with a Ph.D. in Mechanical Engineering from the University of Alaska Fairbanks. He has extensive experience in HVAC/R design, having authored over 20 peer-reviewed articles and worked in various engineering roles, including at Daikin North America and Lennox International.
Work at Lennox
Ravikanth Vajjha serves as the Lead Refrigeration Research Engineer at Lennox International, a position he has held since 2021. He is based in Stone Mountain, Georgia. In this role, he focuses on optimizing HVAC/R systems through numerical simulations and has expertise in agency approval tests such as UL, ETL, and IEC. His work contributes to the development of efficient refrigeration technologies.
Education and Expertise
Ravikanth Vajjha earned his Bachelor's degree in Mechanical Engineering from Osmania University, studying from 2002 to 2006. He furthered his education at the University of Alaska Fairbanks, where he obtained a Ph.D. in Mechanical Engineering from 2009 to 2014. His educational background equips him with a strong foundation in mechanical systems and research methodologies.
Background
Ravikanth Vajjha has a diverse background in mechanical engineering and research. He worked as a Research Assistant at the University of Alaska Fairbanks from 2009 to 2014, where he gained valuable experience in academic research. Prior to his current role at Lennox, he was a Design Engineer at Daikin North America from 2014 to 2021, focusing on new product development in the HVAC/R sector.
Research and Publications
Ravikanth Vajjha has authored and co-authored over 20 peer-reviewed journal articles, showcasing his contributions to the field of mechanical engineering and HVAC/R systems. He has presented his research findings at multiple conferences, demonstrating his commitment to advancing knowledge and practices in refrigeration technology.
Technical Skills
Ravikanth Vajjha possesses advanced technical skills in various software and tools essential for mechanical engineering. He utilizes statistical software like Minitab and Labfit for data analysis and is experienced with modeling packages such as Auto CAD and Solidworks. Additionally, he is proficient in simulation tools like Ansys Fluent for computational fluid dynamics and has skills in meshing packages like Gambit and ICEM CFD.