World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7254
World Ranking
8025
National Ranking
3449

Overview

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:

  • "Incidence of and Factors Associated With Prolonged and Persistent Postoperative Opioid Use in Children 0-18 Years of Age" (2020), Anesthesia & Analgesia
  • "Robust Power Management via Learning and Game Design" (2020), Operations Research
  • "On the Convergence of Mirror Descent beyond Stochastic Convex Programming" (2020), SIAM Journal on Optimization
  • "Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning" (2021), Anesthesia & Analgesia
  • "One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits" (2021), IEEE Journal on Selected Areas in Information Theory

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.

Best Publications

  • Toward power-sensitive network architectures in wireless communications: concepts, issues, and design aspects

    N. Bambos

  • Channel access algorithms with active link protection for wireless communication networks with power control

    Nicholas Bambos;Shou C. Chen;Gregory J. Pottie

  • Routing and channel assignment for low power transmission in PCS

    K. Scott;N. Bambos

  • Radio link admission algorithms for wireless networks with power control and active link quality protection

    N.D. Bambos;S.C. Chen;G.J. Pottie

  • adaptive mobile multimedia networks

    A. Alwan;R. Bagrodia;N. Bambos;M. Gerla

  • Wireless LAN performance under varied stress conditions in vehicular traffic scenarios

    J.P. Singh;N. Bambos;B. Srinivasan;D. Clawin

  • Mobile power management for wireless communication networks

    John M. Rulnick;Nicholas Bambos

  • Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions

    Carri W. Chan;Vivek F. Farias;Nicholas Bambos;Gabriel J. Escobar

  • Infinite time horizon maximum causal entropy inverse reinforcement learning

    Unknown

  • Queueing dynamics and maximal throughput scheduling in switched processing systems

    Mor Armony;Nicholas Bambos

  • Infinite time horizon maximum causal entropy inverse reinforcement learning

    Zhengyuan Zhou;Michael Bloem;Nicholas Bambos

  • Mobile power management for maximum battery life in wireless communication networks

    J.M. Rulnick;N. Bambos

  • Content-Aware Playout and Packet Scheduling for Video Streaming Over Wireless Links

    Yan Li;A. Markopoulou;J. Apostolopoulos;N. Bambos

  • Power controlled multiple access (PCMA) in wireless communication networks

    Unknown

  • Downlink Wireless Packet Scheduling with Deadlines

    A. Dua;N. Bambos

  • Scheduling bursts in time-domain wavelength interleaved networks

    K. Ross;N. Bambos;K. Kumaran;I. Saniee

  • Distributed power and admission control for time-varying wireless networks

    T. Holliday;A. Goldsmith;N. Bambos;P. Glynn

  • Security Decision-Making among Interdependent Organizations

    R. Ann Miura-Ko;Benjamin Yolken;John Mitchell;Nicholas Bambos

  • Power-controlled data prefetching/caching in wireless packet networks

    S. Gitzenis;N. Bambos

  • Admission control schemes for wireless communication networks with adjustable transmitter powers

    S.C. Chen;N. Bambos;G.J. Pottie

  • Stochastic Mirror Descent in Variationally Coherent Optimization Problems

    Zhengyuan Zhou;Panayotis Mertikopoulos;Nicholas Bambos;Stephen P. Boyd

  • Dynamic Risk Mitigation in Computing Infrastructures

    R.A. Miura-Ko;N. Bambos

Frequent Co-Authors

Peter W. Glynn
Peter W. Glynn Stanford University
Jean Walrand
Jean Walrand University of California, Berkeley
Jatinder Pal Singh
Jatinder Pal Singh Facebook (United States)
George Michailidis
George Michailidis University of Florida
John G. Apostolopoulos
John G. Apostolopoulos Cisco Systems (United States)
Slawomir Stanczak
Slawomir Stanczak Fraunhofer Society
Athina Markopoulou
Athina Markopoulou University of California, Irvine
Tansu Alpcan
Tansu Alpcan University of Melbourne
Balaji Prabhakar
Balaji Prabhakar Stanford University
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles

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