Nicholas Bambos is affiliated with Stanford University in the United States. Their research spans multiple fields, primarily focusing on computer science, medicine, and engineering. Within these domains, Bambos has contributed extensively to the subfields of management science and operations research, artificial intelligence, computer networks and communications, electrical and electronic engineering, and surgery.
Their work addresses several key topics, with a notable emphasis on advanced bandit algorithms research, auction theory and applications, stochastic gradient optimization techniques, reinforcement learning in robotics, sparse and compressive sensing techniques, wireless body area networks, and IoT and edge/fog computing.
Bambos's publication record includes papers in a variety of venues. Frequent publication outlets include arXiv (Cornell University), Anesthesia & Analgesia, IEEE Transactions on Automatic Control, Circulation, and the 2022 IEEE 61st Conference on Decision and Control (CDC).
Recent papers by Bambos cover diverse research questions and methods. These include:
Bambos frequently collaborates with several co-authors. Among the most common collaborators are Ilai Bistritz, Panayotis Mertikopoulos, David Scheinker, Zhengyuan Zhou, and Andrew Y. Shin. These collaborations reflect interdisciplinary work across theory, optimization, and applications in healthcare and engineering.
N. Bambos
Nicholas Bambos;Shou C. Chen;Gregory J. Pottie
K. Scott;N. Bambos
N.D. Bambos;S.C. Chen;G.J. Pottie
A. Alwan;R. Bagrodia;N. Bambos;M. Gerla
J.P. Singh;N. Bambos;B. Srinivasan;D. Clawin
John M. Rulnick;Nicholas Bambos
Carri W. Chan;Vivek F. Farias;Nicholas Bambos;Gabriel J. Escobar
Unknown
Mor Armony;Nicholas Bambos
Zhengyuan Zhou;Michael Bloem;Nicholas Bambos
J.M. Rulnick;N. Bambos
Yan Li;A. Markopoulou;J. Apostolopoulos;N. Bambos
Unknown
A. Dua;N. Bambos
K. Ross;N. Bambos;K. Kumaran;I. Saniee
T. Holliday;A. Goldsmith;N. Bambos;P. Glynn
R. Ann Miura-Ko;Benjamin Yolken;John Mitchell;Nicholas Bambos
S. Gitzenis;N. Bambos
S.C. Chen;N. Bambos;G.J. Pottie
Zhengyuan Zhou;Panayotis Mertikopoulos;Nicholas Bambos;Stephen P. Boyd
R.A. Miura-Ko;N. Bambos
If you think any of the details on this page are incorrect, let us know.
Exploring a degree in Computer Science opens doors to a wide variety of online educational opportunities and career outcomes. Many students now seek flexible, affordable ways to advance their expertise from anywhere in the world.
Specialized fields are growing in demand. For example, those interested in big data can consider online data science programs to gain skills highly sought after by tech employers. Similarly, managing building projects is more accessible with an online building construction degree.
Affordability is another key concern for many students. Numerous affordable online MBA programs allow professionals to expand their leadership abilities without the heavy expense or relocation often required by traditional schools.
If you’re looking for a fast track to your career, explore 1 year master's programs online. These condensed programs can help you upskill quickly and enter the workforce with advanced qualifications in less time.
University of Oxford
ABB (Switzerland)
Washington University in St. Louis
University of Alberta
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
University of Granada
Bar-Ilan University
University of Missouri
Technical University of Munich
Jilin University
University of Murcia
Autonomous University of Barcelona
University of Regensburg
Université Catholique de Louvain
The University of Texas Southwestern Medical Center
University of Oslo