Syed Shakib Sarwar received the B.Sc. and M.Sc. degrees in electrical and electronic engineering from the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, in 2012 and 2014, respectively. In Spring 2019, he completed his Ph.D. degree from Purdue University under the supervision of Prof. Kaushik Roy. Since May 2019, he has been working with Meta Inc. as a Research Scientist. His primary research includes energy efficient algorithms and hardware-software co-design for machine learning applications (deep learning) based on CMOS and emerging devices. His research interest also includes approximate computing in the field of artificial intelligence. At present, his efforts are focused on mitigating extreme compute constraints for edge contextualized AI use-cases.
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