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Itschak Weissman is the Robert Barbara Kleist Professor in the School of Engineering at Stanford University, specializing in Electrical Engineering. He has a robust research focus on Information Theory, Data Compression, Communications, Statistical Signal Processing, and Machine Learning, with recent applications in genomic data compression processing. Weissman has notable experience as a founding Director of the Stanford Compression Forum and has held multiple significant academic appointments. He is recognized as a Fellow of the IEEE and has served on the editorial boards of various prestigious publications in the field. His work has earned him several awards, including multiple Google Research Awards and Yahoo! Faculty Research Awards. Weissman has also been actively involved in professional organizations and has contributed significantly through his roles in technical program committees and guest editorships. He has co-authored several patents, advancing methodologies in lossy compression and denoising techniques. As an educator, he teaches various undergraduate and graduate courses at Stanford and supervises both master's and doctoral students in their research endeavors.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.