Anshumali Shrivastava's research focuses on Large Scale Machine Learning, Scalable and Sustainable Deep Learning, Randomized Algorithms for Big-Data and Graph Mining.
WEBSITE(S)| Research Site | Ken Kennedy Institute
Research Areas
Large scale machine learning, randomized algorithms for big data, graphs and social networks mining
Education
PhD, Computer Science, Cornell University (2015)
MSc, Mathematics and Computing, Indian Institute of Technology (2008)
Teaching Areas
Probabilistic Algorithms and Data Structures
Graduate Seminar in Machine Learning
Probabilistic Algorithms and Data Structures
Graduate Seminar in Machine Learning
Large Scale Machine Learning
Graduate Seminar in Machine Learning
Large Scale Machine Learning
Graduate Seminar in Machine Learning
Honors & Awards
2023: Charles W. Duncan Jr. Achievement Award for Outstanding Faculty
2023: IIT Kharagpur, Young Alumni Achiever Award (YAAA)
2022: Outstanding Paper Award, MLSys
2021: Young Faculty Research Award, Rice University George R. Brown School of Engineering
2021: Adobe Data Science Research Awards
2019: National Academy of Engineers (NAE) US Frontiers of Engineering Alum
2018: ACM SIGMOD Most Reproducible Paper Award
2018: Science News 10 Scientist to Watch
2018: Best Student Paper Competition Award at IISA
2017: Amazon Research Awards
2017: AFOSR Young Investigator Award (YIP)
2017: NSF CAREER AWARD
2014: NIPS Best Paper
2014: IEEE/ACM ASONAM Best Paper
2008: Institute Silver Medal, IIT Kharagpur