Petros Maniatis is affiliated with Google in the United States and works primarily within the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Information Systems, Software, Computer Networks and Communications, and Materials Chemistry.
The scientist's work covers multiple topics such as Software Engineering Research, Spreadsheets and End-User Computing, Software Testing and Debugging Techniques, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Machine Learning in Materials Science, and Security and Verification in Computing.
Petros Maniatis has contributed to various publications, with frequent appearances in venues like arXiv (Cornell University) and ACM SIGOPS Operating Systems Review.
They have collaborated with several frequent co-authors including Charles Sutton, Rishabh Singh, Xinyun Chen, Hanjun Dai, and Max S. Lin. Among these, Charles Sutton appears as a co-author in three publications, while Rishabh Singh has co-authored two papers with Maniatis.
Byung-Gon Chun;Sunghwan Ihm;Petros Maniatis;Mayur Naik
Byung-Gon Chun;Petros Maniatis
Boon Thau Loo;Tyson Condie;Joseph M. Hellerstein;Petros Maniatis
Andrea Bittau;Úlfar Erlingsson;Petros Maniatis;Ilya Mironov
Boon Thau Loo;Tyson Condie;Minos Garofalakis
Byung-Gon Chun;Petros Maniatis;Scott Shenker;John Kubiatowicz
Petros Maniatis;Mema Roussopoulos;T. J. Giuli;David S. H. Rosenthal
Ryan Huebsch;Brent N. Chun;Joseph M. Hellerstein;Boon Thau Loo
Thurston H.Y. Dang;Petros Maniatis;David Wagner
Tyron Stading;Petros Maniatis;Mary Baker
Boon Thau Loo;Tyson Condie;Minos Garofalakis
Mary Baker;Mehul Shah;David S. H. Rosenthal;Mema Roussopoulos
Byung-Gon Chun;Petros Maniatis
Dennis Geels;Gautam Altekar;Petros Maniatis;Timothy Roscoe
Petros Maniatis;David S. H. Rosenthal;Mema Roussopoulos;Mary Baker
Petros Maniatis;Mema Roussopoulos;Ed Swierk;Kevin Lai
Aditya Kanade;Petros Maniatis;Gogul Balakrishnan;Kensen Shi
Ling Huang;Jinzhu Jia;Bin Yu;Byung-gon Chun
Ramakrishna Gummadi;Hari Balakrishnan;Petros Maniatis;Sylvia Ratnasamy
Atul Singh;Tathagata Das;Petros Maniatis;Peter Druschel
Vincent J. Hellendoorn;Charles Sutton;Rishabh Singh;Petros Maniatis
Rohit Sinha;Cynthia Sturton;Petros Maniatis;Sanjit A. Seshia
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens up a variety of related academic and career options, many of which can be pursued online for greater flexibility and affordability. For those seeking cost-effective advanced education, you can explore inexpensive masters degrees in fields such as data science, cybersecurity, or software engineering.
If you are interested in leadership roles or academia, earning an online phd in leadership or an online ed can further your expertise and career prospects. These programs are especially suitable for professionals aiming for executive positions or teaching at the university level.
Additionally, fast-track options such as obtaining your associate degree in 6 months online provide a quick entry point into the tech industry and can serve as a foundation for further study.
Exploring these online pathways allows students to balance education, work, and personal commitments while moving forward in their chosen field.
RMIT University
University of Illinois at Urbana-Champaign
Peking University
Chubu University
New York University
Aix-Marseille University
National Oceanic and Atmospheric Administration
Centre national de la recherche scientifique, CNRS
Genentech
University of Edinburgh
SRI International
Jiangsu University
Motu Economic and Public Policy Research
University of Florida
Harvard University
UK Centre for Ecology & Hydrology