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Tanvir Ahmed Khan is a tenure-track assistant professor at Columbia University, with a focus on efficient data center processing by integrating techniques from computer architecture, compilers, and operating systems. His research delves into the challenges posed by the rapid growth of software complexity and the slowdown of hardware performance scaling. Through innovative micro-architectural structures and profile-guided optimizations, his work enhances the performance of data center applications. Khan's research contributions have been recognized with several awards, including the 2024 ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award and the IEEE Micro Top Picks 2023 distinction. His work has been published in prominent computer architecture venues such as ISCA, MICRO, and ASPLOS, reflecting his active engagement in advancing the field. As a dedicated educator, he teaches graduate courses on advanced operating systems and has served as a mentor to numerous students, guiding their research in computer architecture and data center optimization. Khan's collaborative efforts with both undergraduate and graduate students have led to significant achievements in various research competitions.
Columbia University • New York, NY
Teaches and conducts research in computer architecture and data center processing.
Department of Anthropology (GSAS)