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Jayadev Acharya is an Assistant Professor in the Department of Electrical and Computer Engineering at Cornell University, where he is a graduate field member in Operations Research and Information Engineering. He conducts research focusing on information-constrained inference and algorithm development, particularly in the context of statistical learning and machine learning. Acharya has been involved in multiple tutorial sessions at top conferences, showcasing his expertise in algorithmic information theory and its applications. His academic background includes a PhD in Electrical and Computer Engineering from the University of California, San Diego, where he was advised by Alon Orlitsky. He also holds a Bachelor’s degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur. His research has received funding from prestigious institutions, including the National Science Foundation, and he has been recognized for his contributions to the field with various awards. Acharya has a history of presentations and publications in leading conferences and journals, contributing significantly to the domains of communication theory and machine learning.
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