Prasad Raghavendra is a researcher primarily affiliated with the University of California, Berkeley in the United States. Their research is situated within the broad field of Computer Science, with significant contributions across multiple subfields including Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Statistics and Probability, and Statistical and Nonlinear Physics.
Their main areas of work focus on complexity and algorithms in graphs, machine learning and algorithms, advanced graph theory research, complex network analysis techniques, Markov chains and Monte Carlo methods, graph labeling and dimension problems, as well as optimization and search problems.
Some recent publications by Prasad Raghavendra include the following papers:
The researcher has worked frequently with co-authors including Sidhanth Mohanty, Raghu Meka, David X. Wu, Jess Banks, and Jonah Brown-Cohen. Sidhanth Mohanty stands out as the most frequent collaborator with four joint publications.
Prasad Raghavendra's research contributions have been disseminated mainly through venues such as:
In 2012, they were recognized as a Fellow of the Alfred P. Sloan Foundation, an award that indicates notable contributions to their scientific discipline.
Prasad Raghavendra
Prasad Raghavendra;David Steurer
Venkatesan Guruswami;Prasad Raghavendra
James R. Lee;Prasad Raghavendra;David Steurer
Boaz Barak;Prasad Raghavendra;David Steurer
V. Guruswami;R. Manokaran;P. Raghavendra
Prasad Raghavendra;David Steurer;Madhur Tulsiani
Samuel B. Hopkins;Pravesh K. Kothari;Aaron Potechin;Prasad Raghavendra
Vitaly Feldman;Venkatesan Guruswami;Prasad Raghavendra;Yi Wu
Prasad Raghavendra;Ning Tan
Siu On Chan;James R. Lee;Prasad Raghavendra;David Steurer
Prasad Raghavendra;David Steurer
Venkatesan Guruswami;Johan HÅstad;Rajsekar Manokaran;Prasad Raghavendra
Anand Louis;Prasad Raghavendra;Prasad Tetali;Santosh Vempala
Rajsekar Manokaran;Joseph (Seffi) Naor;Prasad Raghavendra;Roy Schwartz
Prasad Raghavendra;David Steurer
Boaz Barak;Parikshit Gopalan;Johan Hastad;Raghu Meka
Prasad Raghavendra;David Steurer;Prasad Tetali
Venkatesan Guruswami;Prasad Raghavendra
Prasad Raghavendra
Prasad Raghavendra;Satish Rao;Tselil Schramm
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens doors to closely related fields and online degree options. Today, students can pursue online programs not just in computer science, but in areas like engineering, physics, and data science. For those interested in engineering, check out the cheapest online master’s mechanical engineering programs. These offer technical foundations, with flexibility to study remotely.
Wondering can you get a physics degree online? Yes, many U.S. universities now provide affordable online physics degrees. These programs cover theory and practical skills, often paired with virtual labs.
Data science is another high-demand pathway. A data scientist degree can lead to roles in artificial intelligence, machine learning, and analytics—areas with strong job growth.
If you’re drawn to electrical engineering, electrical engineering online tuition costs are increasingly competitive, enabling broader access to a vital STEM field.
These related online degrees make it easier for students to tailor their education and career pathway—no matter where they are located.
University of New Brunswick
University of Guelph
University of Guelph
Uppsala University
Stanford University
University of Montpellier
New York University
Chubu University
University of Reading
University of Ottawa
University of Basel
German Cancer Research Center
Dubai Electricity and Water Authority
University of Gothenburg
Rutgers, The State University of New Jersey
University of Siena