LLNL’s Kailkhura elevated to IEEE senior member
LLNL research staff member Bhavya Kailkhura has been elevated to the grade of Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), the highest grade for which IEEE members can apply.
The Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization, has elevated Lawrence Livermore National Laboratory research staff member Bhavya Kailkhura to the grade of senior member within the organization.
IEEE has more than 427,000 members in more than 190 countries, including engineers, scientists and allied professionals in the electrical and computer sciences, engineering and related disciplines. Just 10% of IEEE’s members hold the status of senior membership, which reflects professional maturity and requires extensive experience and documented achievements, according to IEEE. It is the highest grade for which IEEE members can apply.
A computer scientist in LLNL’s Center for Applied Scientific Computing, Kailkhura’s research interests include safe and trustworthy artificial intelligence (AI), efficient machine learning and their application to scientific applications. His work has received several awards, including the Deputy Director for S&T Excellence in Publication Award at LLNL in 2019.
“As an IEEE senior member, I am honored to be recognized for my contributions to the field of safe and trustworthy AI,” Kailkhura said. “This prestigious acknowledgment not only symbolizes personal growth but also underscores LLNL’s consistent commitment to pioneering research that ensures the development of dependable AI, aligning with [President Biden’s] recent AI Executive Order, for the nation’s security and scientific advancements.”
In addition to his LLNL award, Kailkhura has won the All University Doctoral Prize from Syracuse University (2017), and best paper awards at the 2022 International Conference on Learning Representations Workshop on Socially Responsible Machine Learning and IEEE Asilomar (2014). He serves as an associate editor for the Association for Computer Machinery’s Journal on Autonomous Transportation Systems and Frontiers in Big Data and Artificial Intelligence.
Kailkhura was a program chair for the doctoral consortium program at the 2022 Association for the Advancement of Artificial Intelligence conference, which supports a new generation of diverse researchers by offering advice about academic, research, industry and nontraditional career paths.
Kailkhura received his master’s degree and Ph.D. in electrical engineering from Syracuse University in 2012 and 2016, respectively.
Related LinksInstitute of Electrical and Electronics Engineers
Center for Applied Scientific Computing
AI Executive Order
TagsHPC, Simulation, and Data Science