Balaji Arun
About Balaji Arun
Balaji Arun is a researcher currently employed at Aptos in Palo Alto, California, where he has worked since 2022. He holds a Ph.D. from Virginia Tech and has co-authored a paper on improving latency and robustness in distributed systems.
Work at Aptos
Balaji Arun has been employed as a Researcher at Aptos since 2022. His role involves conducting research in Palo Alto, California, contributing to the development of innovative solutions in the blockchain technology space. His work focuses on enhancing the performance and efficiency of decentralized systems.
Education and Expertise
Balaji Arun holds a Doctor of Philosophy (Ph.D.) from Virginia Tech, which he completed from 2015 to 2021. He also earned a Master of Science (MS) from Virginia Tech from 2015 to 2017 and a Bachelor of Science (B.S.) from the same institution from 2013 to 2015. Prior to his studies at Virginia Tech, he attended Northern Virginia Community College from 2011 to 2013. His educational background provides a strong foundation in research methodologies and technical knowledge.
Background
Balaji Arun's academic journey began at Northern Virginia Community College, where he studied from 2011 to 2013. He then transferred to Virginia Tech, where he completed both his undergraduate and graduate studies. His transition through various educational stages reflects a commitment to advancing his knowledge and skills in his field.
Research Contributions
Balaji Arun co-authored the paper titled 'Shoal: Improving DAG-BFT Latency And Robustness.' This research addresses key challenges in the field of blockchain technology, specifically focusing on improving the latency and robustness of Directed Acyclic Graph-Based Byzantine Fault Tolerance systems. His contributions to this paper highlight his expertise in the area.