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Leading on new materials related to cutting edge ML architectures. Focused on papers and sources related to highly technical areas, including Eyeriss, ShiDianNao and MAERI. Lead on possible simulation components with ConfuciuX and MAESTRO.
Victor Agostinelli is a PhD student at Oregon State University engaged in machine learning accelerator research with STAR Lab at Oregon State University. Current topics of interest relate primarily to natural language processing, high-level synthesis solutions, and high-level accelerator architecture.
Leading on providing context for machine learning accelerators and their relevancy. Focused on information related to FlexFlow and energy optimization using dataflows.
Indhupriya Karunagaran received her B.E in Electronics and communication Engineering from an Indian university, Anna University- R.M.K Engineering college in MAR(2020).She is currently pursuing her M.Engg in Electrical and Computer engineering at Oregon State University. From her Bachelors and work experience her area of interest was mainly in development side like application, server and project. She has published paper on "Object Tracking and Gesture Recognition in Automotive Vehicles" in IEEE journals (India). Her project topic where "Voice calculator" and "Object detection using sensor Robots".
Leading on providing context for machine learning accelerators and their relevancy. Focused on information related to FlexFlow and energy optimization using dataflows.
Diksha Todankar recieved her B.Eng in Information Technology from Mumbai University - India in 2018. She is currently pursuing M.Eng in Computer Science and is expected to graduate in March 2022. Her topics of interest include Computer Graphics, mainly development using OpenGL, Vulkan and GLSL, Game development, Animation techniques in Blender. She is also interested in exploring Artificial intelligence for creating smarter Non-player characters(NPCs) in Online Role-Playing Games.
FlexFlow, MAERI, MAESTRO and ConfuciuX related tasks with some inclusion into potential simulation components related to ConfuciuX and MAESTRO. Report website design and development.
Kazi Ahmed Asif Fuad is a PhD student in the field of Artifical Intelligence with Hardware Acceleration with STAR Lab, Oregon State University. Recently, he has graduated from the Erasmus+ Mundus Joint Master in Image Processing and Computer Vision (IPCV), a triple Masters Program. Before that, he earned my Master of Science (MSc.) degree and Bachelor of Science (BSc.) degree in Electrical and Electronic Engineering at American International University-Bangladesh (AIUB) in 2014 and 2016 respectively. His research of interests are computer vision, natural language processing, and Machine Learning accelerators.