Keith W. Ross is affiliated with New York University in the United States. Their research primarily focuses on computer science, with a strong emphasis on artificial intelligence, management science and operations research, information systems, computer vision and pattern recognition, and cognitive neuroscience.
The scientist's work covers various topics including reinforcement learning in robotics, advanced bandit algorithms research, machine learning and extreme learning machines (ELM), spam and phishing detection, internet traffic analysis and secure electronic voting, hate speech and cyberbullying detection, and machine learning and algorithms.
Keith W. Ross has published extensively, with frequent contributions to the following publication venues:
Recent papers authored or coauthored by the researcher include:
Their frequent coauthors include Che Wang, Zixuan Dong, Xinyue Chen, Zijian Zhou, and Yiming Zhang, suggesting ongoing collaboration in related research areas.
Keith W. Ross has been recognized as an ACM Fellow in 2012 for contributions to the design and modeling of computer networks and Internet applications.
James F. Kurose;Keith W. Ross
Xiaojun Hei;Chao Liang;Jian Liang;Yong Liu
Keith W. Ross;Peter J. Hancock
James F. Kurose;Keith W. Ross
Cheng Huang;Jin Li;Keith W. Ross
Jussi Kangasharju;James Roberts;Keith W. Ross
J. Liang;R. Kumar;Y. Xi;K.W. Ross
J.M. McManus;K.W. Ross
R. Kumar;Yong Liu;K. Ross
Luis Garcés-Erice;Ernst W. Biersack;Keith W. Ross;Pascal Felber
K.W. Ross;D.H.K. Tsang
James F. Kurose;Keith W. Ross
J. Liang;N. Naoumov;K. W. Ross
Xiaojun Hei;Chao Liang;Chao Liang;Jian Liang;Yong Liu
K.W. Ross
Frederick J. Beutler;Keith W. Ross
Xiaojun Hei;Yong Liu;K.W. Ross
Cheng Huang;Jin Li;Angela Wang;Keith Wimberly Ross
Xiaojun Hei;Yong Liu;K.W. Ross
Jian Liang;Rakesh Kumar;Keith W. Ross
Luis Garcés-Erice;Ernst W. Biersack;Pascal Felber;Keith W. Ross
Keith W. Ross;James F. Kurose
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to many related fields, especially with the increasing availability of flexible online programs. For those interested in analytics or AI, options like the cheapest data science masters in USA offer rigorous curricula at an affordable cost.
Another popular choice is the best online electrical engineering programs USA, which often overlap with computer science and can broaden your job prospects in tech industries.
If you’re looking to upskill quickly, consider quick certifications that pay well. These certifications can help you enter the workforce or leverage additional roles in IT, cybersecurity, or networking without the time commitment of a full degree.
For advanced learners seeking to finish faster, many universities now offer some of the shortest master degree programs online, allowing you to boost your credentials and earning potential in as little as one year.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 31
Beijing University of Technology
Oak Ridge National Laboratory
Tohoku University
KU Leuven
Nathan Kline Institute for Psychiatric Research
Cranfield University
Pacific Marine Environmental Laboratory
Kiel University
Utrecht University
University of California, Los Angeles
China University of Geosciences
NorthShore University HealthSystem
New York University
Baylor College of Medicine
Beth Israel Deaconess Medical Center
University of Tromsø - The Arctic University of Norway
