Arya mazumdar cv
Arya caters to the people who really wish to learn the material. He makes the exams hard, and expects you to think about the material and apply it to the questions, and not just vomit memorized jargon and then forget it right after the exam. Arya teaches the class to teach the material, not for everyone to get an easy a. Ankit singh rawat, arya mazumdar, sriram vishwanath eurasip journal on advances in signal processing,. Arxiv version special issue in network coding. Anuradha arya of mazumdar shaw cancer centre, bengaluru. Genetics, botany and cancer research. Read 2 publications, 1 answers, and contact anuradha arya on researchgate.
Previously, i have held postdoctoral appointments in the computer science department at the carnegie mellon university and the college of information and computer sciences at the university of massachusetts amherst, where i worked with prof. Venkatesan guruswami and prof. Arya mazumdar, respectively. Arya mazumdar robust gradient descent via moment encoding with ldpc codes sysml. Count includes citations to the following articles in scholar. May be different from the article in the profile. S profile on linkedin, the world. S largest professional community. Arya has 6 jobs listed on their profile. See the complete profile on linkedin and discover arya.
Arya mazumdar, university of minnesota unlike the usual local recovery model of codes for distributed storage, this model accounts for the fact that each server or storage node in a network is connectible to only some, and not all other, nodes. Kitchawan rd yorktown heights, ny. View the profiles of people named arya mazumdar. Join facebook to connect with arya mazumdar and others you may know. Facebook gives people the power.
Arya mazumdar, yury polyanskiy, ankit singh rawat, hajir roozbehani. Distance preserving maps and combinatorial joint source. Channel coding for large alphabets. Arya is a recipient of the. 15 nsf career award and the. He is also a recipient of the. Distinguished dissertation fellowship award from the university of maryland. S works have been regularly appearing in the top venues of information theory and machine learning in the recent years. For students interested in cmpsci. Optimization in computer science. We will have the course webpage up shortly. The plan is to follow this monograph by bubeck, boyd and vandenberghe for some basics, and some other materials of interest.