Bio


Nick Bambos is R. Weiland Professor in the School of Engineering at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He has been the Fortinet Founders Department Chair of the Management Science & Engineering Department (2016 – 20).

He heads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, comprised of doctoral students and industry visitors engaged in various research projects, and was the Director (1999 – 2005) of the Stanford Networking Research Center (a research project of about $30M). He has published over 300 peer-reviewed research publications and graduated over 40 doctoral students (including two post-doctoral ones), who have moved on to leadership positions in academia, the Silicon Valley industries and technology startups, finance and venture capital, etc.

His research interests are in architecture and high-performance engineering of computer systems and networks, as well as data analytics with an emphasis on medical and health-care analytics. His research contributions span the areas of networking and the Internet, cloud computing and data centers, multimedia streaming, computer security, digital health, etc. His methodological interests and contributions span the areas of network control, online task scheduling, routing and distributed processing, machine learning and artificial intelligence, etc.

He received his Ph.D. (1989) in Electrical Engineering & Computer Sciences from the University of California at Berkeley. Before joining Stanford in 1996, he served as assistant professor (1989 – 95) and tenured associate professor (1995 – 96) of Electrical Engineering at the University of California at Los Angeles (UCLA).

He has received several best research paper awards and has been the Cisco Systems Faculty Development Chair and the David Morgenthaler Faculty Scholar at Stanford. He has won the IBM Faculty Award, as well as the National Young Investigator Award and the Research Initiation Award from the National Science Foundation. He has been a Berkeley U.C. Regents Fellow, an E. C. Anthony Fellow, and a D. & S. Gale Fellow.

He has served on various editorial boards of research journals, scientific boards of research labs, international technical and scientific committees, and technical review panels for networking and computing technologies. He has also served on corporate technical boards, as consultant and co-founder of technology start-up companies, and as expert witness in high-profile patent litigation and other legal cases involving information technologies.

Academic Appointments


Administrative Appointments


  • Fortinet Founders Department Chair, Dept. of Management Science and Engineering (2016 - 2020)
  • Director, Stanford Networking Research Center (1999 - 2005)

Honors & Awards


  • R. Weiland Professorship in Engineering, Stanford University (2016 - present)
  • Eugene L. Grant Teaching Award, Stanford University (2014)
  • IBM Faculty Award, IBM Labs (2002)
  • Cisco Systems Faculty Scholar, Stanford University (1999 - 2003)
  • Dana Adams Griffin Award, Stanford University (1997)
  • David Morgenthaler Faculty Scholar, Stanford University (1996 - 1999)
  • National Young Investigator Award, National Science Foundation (1992 - 1997)
  • Research Initiation Award, National Science Foundation (1990 - 1992)
  • University of California Regents Fellow, University of California at Berkeley (1986 - 1988)
  • Earl C. Anthony Fellow, University of California at Berkeley (1985 - 1986)
  • David and Sylvia Gale Fellow, University of California at Berkeley (1984 - 1985)

Boards, Advisory Committees, Professional Organizations


  • Scientific Board, German-Turkish Center in Information and Communication Technologies, Berlin, Germany (2017 - 2020)
  • Scientific Board, Laboratory on Information, Networking and Communication Sciences, Paris, France (2010 - Present)
  • Steering Board, Conference on Decision and Game Theory for Security - GameSec (2010 - 2017)
  • Editorial Board, Wireless Networks Journal (2001 - 2007)
  • Editorial Board, Computer Networks Journal (2000 - 2002)
  • Editorial Board, Queueing Systems Journal (1999 - 2007)

Professional Education


  • PhD, University of California at Berkeley, Electrical Engineering & Computer Sciences (1989)
  • MA, University of California at Berkeley, Mathematics (1989)
  • MS, University of California at Berkeley, Electrical Engineering & Computer Sciences (1987)
  • Diploma, National Technical University of Athens - Greece, Electrical Engineering (1984)

All Publications


  • Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring SENSORS Bar David, Y., Geller, T., Bistritz, I., Ben-Gal, I., Bambos, N., Khmelnitsky, E. 2021; 21 (12)

    Abstract

    Wireless body area networks (WBANs) have strong potential in the field of health monitoring. However, the energy consumption required for accurate monitoring determines the time between battery charges of the wearable sensors, which is a key performance factor (and can be critical in the case of implantable devices). In this paper, we study the inherent trade-off between the power consumption of the sensors and the probability of misclassifying a patient's health state. We formulate this trade-off as a dynamic problem, in which at each step, we can choose to activate a subset of sensors that provide noisy measurements of the patient's health state. We assume that the (unknown) health state follows a Markov chain, so our problem is formulated as a partially observable Markov decision problem (POMDP). We show that all the past measurements can be summarized as a belief state on the true health state of the patient, which allows tackling the POMDP problem as an MDP on the belief state. Then, we empirically study the performance of a greedy one-step look-ahead policy compared to the optimal policy obtained by solving the dynamic program. For that purpose, we use an open-source Continuous Glucose Monitoring (CGM) dataset of 232 patients over six months and extract the transition matrix and sensor accuracies from the data. We find that the greedy policy saves ≈50% of the energy costs while reducing the misclassification costs by less than 2% compared to the most accurate policy possible that always activates all sensors. Our sensitivity analysis reveals that the greedy policy remains nearly optimal across different cost parameters and a varying number of sensors. The results also have practical importance, because while the optimal policy is too complicated, a greedy one-step look-ahead policy can be easily implemented in WBAN systems.

    View details for DOI 10.3390/s21124245

    View details for Web of Science ID 000666452800001

    View details for PubMedID 34205774

  • Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning. Anesthesia and analgesia Ward, A., Jani, T., De Souza, E., Scheinker, D., Bambos, N., Anderson, T. A. 2021

    Abstract

    BACKGROUND: Long-term opioid use has negative health care consequences. Patients who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk factors have been previously identified, no methods currently exist to determine higher-risk patients. We assessed the ability of a variety of machine-learning algorithms to predict adolescents at risk of POUS and to identify factors associated with this risk.METHODS: A retrospective cohort study was conducted using a national insurance claims database of adolescents aged 12-21 years who underwent 1 of 1297 surgeries, with general anesthesia, from January 1, 2011 to December 30, 2017. Logistic regression with an L2 penalty and with a logistic regression with an L1 lasso (Lasso) penalty, random forests, gradient boosting machines, and extreme gradient boosted models were trained using patient and provider characteristics to predict POUS (≥1 opioid prescription fill within 90-180 days after surgery) risk. Predictive capabilities were assessed using the area under the receiver-operating characteristic curve (AUC)/C-statistic, mean average precision (MAP); individual decision thresholds were compared using sensitivity, specificity, Youden Index, F1 score, and number needed to evaluate. The variables most strongly associated with POUS risk were identified using permutation importance.RESULTS: Of 186,493 eligible patient surgical visits, 8410 (4.51%) had POUS. The top-performing algorithm achieved an overall AUC of 0.711 (95% confidence interval [CI], 0.699-0.723) and significantly higher AUCs for certain surgeries (eg, 0.823 for spinal fusion surgery and 0.812 for dental surgery). The variables with the strongest association with POUS were the days' supply of opioids and oral morphine milligram equivalents of opioids in the year before surgery.CONCLUSIONS: Machine-learning models to predict POUS risk among adolescents show modest to strong results for different surgeries and reveal variables associated with higher risk. These results may inform health care system-specific identification of patients at higher risk for POUS and drive development of preventative measures.

    View details for DOI 10.1213/ANE.0000000000005527

    View details for PubMedID 33939656

  • Robust Power Management via Learning and Game Design OPERATIONS RESEARCH Zhou, Z., Mertikopoulos, P., Moustakas, A. L., Bambos, N., Glynn, P. 2021; 69 (1): 331–45
  • Rates of, and Risk Factors for, Chronic Pain in Children and Young Adults Before and After Surgery Thapa, I., Ward, A. T., De Souza, B., Bambos, N., Anderson, T. A. LIPPINCOTT WILLIAMS & WILKINS. 2020: 691
  • Development and Validation of a Machine Learning Algorithm for Prediction of Prolonged Opioid Use After Surgery in Adolescents and Young Adults Jani, T., Ward, A. T., De Souza, B., Bambos, N., Anderson, T. A. LIPPINCOTT WILLIAMS & WILKINS. 2020: 712–13
  • Rates of, and Risk Factors for, Substance Use Disorder in Children and Young Adults Before and After Surgery Thapa, I., Ward, A. T., De Souza, B., Bambos, N., Anderson, T. A. LIPPINCOTT WILLIAMS & WILKINS. 2020: 689–90
  • Incidence of and Factors Associated With Prolonged and Persistent Postoperative Opioid Use in Children 0-18 Years of Age. Anesthesia and analgesia Ward, A., De Souza, E., Miller, D., Wang, E., Sun, E. C., Bambos, N., Anderson, T. A. 2020

    Abstract

    BACKGROUND: Long-term opioid use has negative health care consequences. Opioid-naive adults are at risk for prolonged and persistent opioid use after surgery. While these outcomes have been examined in some adolescent and teenage populations, little is known about the risk of prolonged and persistent postoperative opioid use after common surgeries compared to children who do not undergo surgery and factors associated with these issues among pediatric surgical patients of all ages.METHODS: Using a national administrative claims database, we identified 175,878 surgical visits by opioid-naive children aged ≤18 years who underwent ≥1 of the 20 most common surgeries from each of 4 age groups between December 31, 2002, and December 30, 2017, and who filled a perioperative opioid prescription 30 days before to 14 days after surgery. Prolonged opioid use after surgery (filling ≥1 opioid prescription 90-180 days after surgery) was compared to a reference sample of 1,354,909 nonsurgical patients randomly assigned a false "surgery" date. Multivariable logistic regression models were used to estimate the association of surgical procedures and 22 other variables of interest with prolonged opioid use and persistent postoperative opioid use (filling ≥60 days' supply of opioids 90-365 days after surgery) for each age group.RESULTS: Prolonged opioid use after surgery occurred in 0.77%, 0.76%, 1.00%, and 3.80% of surgical patients ages 0-<2, 2-<6, 6-<12, and 12-18, respectively. It was significantly more common in surgical patients than in nonsurgical patients (ages 0-<2: odds ratio [OR] = 4.6 [95% confidence interval (CI), 3.7-5.6]; ages 2-<6: OR = 2.5 [95% CI, 2.1-2.8]; ages 6-<12: OR = 2.1 [95% CI, 1.9-2.4]; and ages 12-18: OR = 1.8 [95% CI, 1.7-1.9]). In the multivariable models for ages 0-<12 years, few surgical procedures and none of the other variables of interest were associated with prolonged opioid use. In the models for ages 12-18 years, 10 surgical procedures and 5 other variables of interest were associated with prolonged opioid use. Persistent postoperative opioid use occurred in <0.1% of patients in all age groups.CONCLUSIONS: Some patient characteristics and surgeries are positively and negatively associated with prolonged opioid use in opioid-naive children of all ages, but persistent opioid use is rare. Specific pediatric subpopulations (eg, older patients with a history of mood/personality disorder or chronic pain) may be at markedly higher risk.

    View details for DOI 10.1213/ANE.0000000000004823

    View details for PubMedID 32332289

  • ON THE CONVERGENCE OF MIRROR DESCENT BEYOND STOCHASTIC CONVEX PROGRAMMING SIAM JOURNAL ON OPTIMIZATION Zhou, Z., Mertikopoulos, P., Bambos, N., Boyd, S. P., Glynn, P. W. 2020; 30 (1): 687–716

    View details for DOI 10.1137/17M1134925

    View details for Web of Science ID 000546998300026

  • Distributed Scheduling of Charging for-On-Demand Electric Vehicle Fleets Bistritz, I., Klein, M., Bambos, N., Maimon, O., Raagopal, R. ELSEVIER. 2020: 472-477
  • My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits Bistritz, I., Baharav, T. Z., Leshem, A., Bambos, N., Daume, H., Singh, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2020
  • Incidence of and Factors Associated With Prolonged and Persistent Postoperative Opioid Use in Children 0-18 Years of Age. Anesthesia and analgesia Ward, A. n., De Souza, E. n., Miller, D. n., Wang, E. n., Sun, E. C., Bambos, N. n., Anderson, T. A. 2020; 131 (4): 1237–48

    Abstract

    Long-term opioid use has negative health care consequences. Opioid-naïve adults are at risk for prolonged and persistent opioid use after surgery. While these outcomes have been examined in some adolescent and teenage populations, little is known about the risk of prolonged and persistent postoperative opioid use after common surgeries compared to children who do not undergo surgery and factors associated with these issues among pediatric surgical patients of all ages.Using a national administrative claims database, we identified 175,878 surgical visits by opioid-naïve children aged ≤18 years who underwent ≥1 of the 20 most common surgeries from each of 4 age groups between December 31, 2002, and December 30, 2017, and who filled a perioperative opioid prescription 30 days before to 14 days after surgery. Prolonged opioid use after surgery (filling ≥1 opioid prescription 90-180 days after surgery) was compared to a reference sample of 1,354,909 nonsurgical patients randomly assigned a false "surgery" date. Multivariable logistic regression models were used to estimate the association of surgical procedures and 22 other variables of interest with prolonged opioid use and persistent postoperative opioid use (filling ≥60 days' supply of opioids 90-365 days after surgery) for each age group.Prolonged opioid use after surgery occurred in 0.77%, 0.76%, 1.00%, and 3.80% of surgical patients ages 0-<2, 2-<6, 6-<12, and 12-18, respectively. It was significantly more common in surgical patients than in nonsurgical patients (ages 0-<2: odds ratio [OR] = 4.6 [95% confidence interval (CI), 3.7-5.6]; ages 2-<6: OR = 2.5 [95% CI, 2.1-2.8]; ages 6-<12: OR = 2.1 [95% CI, 1.9-2.4]; and ages 12-18: OR = 1.8 [95% CI, 1.7-1.9]). In the multivariable models for ages 0-<12 years, few surgical procedures and none of the other variables of interest were associated with prolonged opioid use. In the models for ages 12-18 years, 10 surgical procedures and 5 other variables of interest were associated with prolonged opioid use. Persistent postoperative opioid use occurred in <0.1% of patients in all age groups.Some patient characteristics and surgeries are positively and negatively associated with prolonged opioid use in opioid-naïve children of all ages, but persistent opioid use is rare. Specific pediatric subpopulations (eg, older patients with a history of mood/personality disorder or chronic pain) may be at markedly higher risk.

    View details for DOI 10.1213/ANE.0000000000004823

    View details for PubMedID 32925345

  • Clustering Users by Their Mobility Behavioral Patterns ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA Ben-Gal, I., Weinstock, S., Singer, G., Bambos, N. 2019; 13 (4)

    View details for DOI 10.1145/3322126

    View details for Web of Science ID 000496747400009

  • INCIDENCE OF PERSISTENT OPIOID USE IN CHILDREN AFTER SURGERY Anderson, T. A., Ward, A. T., De Souza, B., Wang, E., Miller, D., Bambos, N. LIPPINCOTT WILLIAMS & WILKINS. 2019: 764–65
  • Bidding-Based Dynamic Power Pricing Scheme in Smart Grids Ward, A., Zhou, Z., Bambos, N., IEEE IEEE. 2019: 729–34
  • Learning to Emulate an Expert Projective Cone Scheduler Ward, A., Master, N., Bambos, N., IEEE IEEE. 2019: 292–97
  • Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things Bistritz, I., Bambos, N., Cianfrani, A., Riggio, R., Steiner, R., Idzikowski, F. IEEE. 2019: 98–101
  • Controlling Contact Network Topology to Prevent Measles Outbreaks Bistritz, I., Bambos, N., Kahana, D., Ben-Gal, I., Yamin, D., IEEE IEEE. 2019
  • Anesthesiologist Surgery Assignments Using Policy Learning Ward, A., Zhou, Z., Bambos, N., Scheinker, D., Wang, E., IEEE IEEE. 2019
  • The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control Bistritz, I., Bambos, N., IEEE IEEE. 2019
  • Smart Greedy Distributed Allocation in Microgrids Bistritz, I., Ward, A., Zhou, Z., Bambos, N., IEEE IEEE. 2019
  • Learning Health State Transition Probabilities via Wireless Body Area Networks Geller, T., Bar David, Y., Khmelnitsky, E., Ben-Gal, I., Ward, A., Miller, D., Bambos, N., IEEE IEEE. 2019
  • Online EXP3 Learning in Adversarial Bandits with Delayed Feedback Bistritz, I., Zhou, Z., Chen, X., Bambos, N., Blanchet, J., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2019
  • Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy OPERATIONS RESEARCH Zhou, Z., Bambos, N., Glynn, P. 2018; 66 (6): 1498–1516
  • Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning IEEE TRANSACTIONS ON AUTOMATIC CONTROL Zhou, Z., Bloem, M., Bambos, N. 2018; 63 (9): 2787–2802
  • MYOPIC POLICIES FOR NON-PREEMPTIVE SCHEDULING OF JOBS WITH DECAYING VALUE PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES Master, N., Chan, C. W., Bambos, N. 2018; 32 (1): 1–36
  • Personalized Monitors for Real-Time Detection of Physiological States Chapter 42 in "Wearable Technologies: Concepts, Methodologies, Tools, and Applications" [Appeared before in the International Journal of e-Health and Medical Communications, 5(4):1-19, 2014] Chow, L., Bambos, N., Gilman, A., Chander, A. IGI Global Press. 2018: pp. 931–952
  • Sensing-Constrained Power Control in Digital Health Miller, D., Zhou, Z., Bambos, N., Ben-Gal, I., IEEE IEEE. 2018: 4213–20
  • Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders Miller, D., Ward, A., Bambos, N., Scheinker, D., Shin, A., IEEE IEEE. 2018
  • Optimal Sensing for Patient Health Monitoring Miller, D., Zhou, Z., Bambos, N., Ben-Gal, I., IEEE IEEE. 2018
  • Robustness of Join-the-Shortest-Queue Schecluling to Communica Ion Delay Mandian, S., Zhou, Z., Bambos, N., IEEE IEEE. 2018: 3708–13
  • Automatic Sleep Arousal Identification From Physiological Waveforms Using Deep Learning Miller, D., Ward, A., Bambos, N., IEEE IEEE. 2018
  • Learning in Games with Lossy Feedback Zhou, Z., Mertikopoulos, P., Athey, S., Bambos, N., Glynn, P., Ye, Y., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018
  • Power Control with Random Delays: Robust Feedback Averaging Ward, A., Zhou, Z., Mertikopoulos, P., Bambos, N., IEEE IEEE. 2018: 7040–45
  • Optimal Health Monitoring via Wireless Body Area Networks Bar David, Y., Geller, T., Khmelnitsky, E., Ben-Gal, I., Ward, A., Miller, D., Bambos, N., IEEE IEEE. 2018: 6800–6805
  • Service Rate Control of Tandem Queues With Power Constraints IEEE TRANSACTIONS ON AUTOMATIC CONTROL Xia, L., Miller, D., Zhou, Z., Bambos, N. 2017; 62 (10): 5111–23
  • Longest-Queue-First Scheduling with Intermittent Sampling Mehdian, S., Zhou, Z., Bambos, N., IEEE IEEE. 2017
  • Improving Predictions of Pediatric Surgical Durations with Supervised Learning International Journal of Data Science and Analytics Master, N., Zhou, Z., Miller, D., Scheinker, D., Bambos, N., Glynn, P. 2017; 4: 35-52
  • Stochastic Models of Ground Delay Program Implementation for Prediction, Simulation and Insight Journal of Aerospace Operations Bloem, M., Bambos, N. 2017; 5: 85-117
  • Video Streaming Schemes for Industrial IoT Kanzaki, H., Schubert, K., Bambos, N., IEEE IEEE. 2017
  • A Practical Approach to Machine Learning for Clinical Decision Support Projects at Lucile Packard Children's Hospital Stanford in Partnership with Stanford Engineering Miller, D., Scheinker, D., Bambos, N., Cappanera, P., Li, J., Matta, A., Sahin, E., Vandaele, N. J., Visintin, F. SPRINGER. 2017: 111–20
  • An Infinite Dimensional Model for A Many Server Priority Queue Master, N., Zhou, Z., Bambos, N., IEEE IEEE. 2017
  • Wireless Channel Selection with Non-Invasive Power Probing Schubert, K., Bambos, N., IEEE IEEE. 2017
  • Stochastic Mirror Descent in Variationally Coherent Optimization Problems Zhou, Z., Mertikopoulos, P., Bambos, N., Boyd, S., Glynn, P., Guyon, Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2017
  • Countering Feedback Delays in Multi-Agent Learning Zhou, Z., Mertikopoulos, P., Bambos, N., Glynn, P., Tomlin, C., Guyon, Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2017
  • Asynchronous Best-Response Dynamics for Resource Allocation Games in Cloud Computing Schubert, K., Master, N., Zhou, Z., Bambos, N., IEEE IEEE. 2017: 4613–18
  • Market-Based Dynamic Service Mode Switching in Virtualized Wireless Networks Dimakopoulou, M., Bambos, N., Valdez-Vivas, M., Apostolopoulos, J., IEEE IEEE. 2017
  • Stable Power Control in Wireless Networks via Dual Averaging Zhou, Z., Mertikopoulos, P., Moustakas, A. L., Mehdian, S., Bambos, N., Glynn, P., IEEE IEEE. 2017
  • Mirror Descent Learning in Continuous Games Zhou, Z., Mertikopoulos, P., Moustakas, A. L., Bambos, N., Glynn, P., IEEE IEEE. 2017
  • An Infinite Dimensional Model for A Single Server Priority Queue Master, N., Zhou, Z., Bambos, N., IEEE IEEE. 2017: 1753–58
  • Join-the-Shortest-Queue Scheduling with Delay Mehdian, S., Zhou, Z., Bambos, N., IEEE IEEE. 2017: 1747–52
  • Classical Communication Network Design via Quantum Heuristics Ward, A., Master, N., Bambos, N., IEEE IEEE. 2017
  • Power control for packet streaming with head-of-line deadlines PERFORMANCE EVALUATION Master, N., Bambos, N. 2016; 106: 1-18
  • Power Optimization in Random Wireless Networks IEEE TRANSACTIONS ON INFORMATION THEORY Moustakas, A. L., Mertikopoulos, P., Bambos, N. 2016; 62 (9): 5030-5058
  • Adaptive Prefetching in Wireless Computing IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Master, N., Dua, A., Tsamis, D., Singh, J. P., Bambos, N. 2016; 15 (5): 3296-3310
  • Maximum weight matching with hysteresis in overloaded queues with setups QUEUEING SYSTEMS Chan, C. W., Armony, M., Bambos, N. 2016; 82 (3-4): 315-351
  • Dynamic Control of Data Center Network and Computation Resources Miller, D., Xia, L., Zhou, Z., Bambos, N., IEEE IEEE. 2016: 374–80
  • Detecting Inaccurate Predictions of Pediatric Surgical Durations Zhou, Z., Miller, D., Master, N., Scheinker, D., Bambos, N., Glynn, P., IEEE IEEE. 2016: 452–57
  • A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks Zhou, Z., Miller, D., Bambos, N., Glynn, P., IEEE IEEE. 2016
  • Dynamics on Linear Influence Network Games Under Stochastic Environments Zhou, Z., Bambos, N., Glynn, P., Zhu, Q., Alpcan, T., Panaousis, E., Tambe, M., Casey, W. SPRINGER INT PUBLISHING AG. 2016: 114–26
  • Data Aggregation for Low Power Wireless Devices Schubert, K., Bambos, N., IEEE IEEE. 2016: 97–102
  • Wireless Power Controlled TCP with Holdover Schubert, K., Bambos, N., IEEE IEEE. 2016
  • Infinite Server Queueing Networks with Deadline Based Routing Master, N., Bambos, N., IEEE IEEE. 2016: 5360–66
  • Repeated Games for Power Control in Wireless Communications: Equilibrium and Regret Zhou, Z., Glynn, P., Bambos, N., IEEE IEEE. 2016: 3603–10
  • Reliable and Efficient Performance Monitoring in Linux Dimakopoulou, M., Eranian, S., Koziris, N., Bambos, N., IEEE IEEE. 2016: 396–406
  • Cost-Sensitive Security Risk Management for Large-Scale Computing Infrastructures Master, N., Bambos, N., IEEE IEEE. 2016: 115–19
  • Reliable and Efficient Performance Monitoring in Linux Dimakopoulou, M., Eranian, S., Koziris, N., Bambos, N., IEEE IEEE. 2016: 407–8
  • Cone Schedules for Processing Systems in Fluctuating Environments IEEE TRANSACTIONS ON AUTOMATIC CONTROL Ross, K., Bambos, N., Michailidis, G. 2015; 60 (10): 2710-2715
  • Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning JOURNAL OF AEROSPACE INFORMATION SYSTEMS Bloem, M., Bambos, N. 2015; 12 (3): 299-313

    View details for DOI 10.2514/1.I010304

    View details for Web of Science ID 000352785300001

  • Dynamic Management of Network Risk from Epidemic Phenomena Sinha, A., Duchi, J., Bambos, N., IEEE IEEE. 2015: 1583–88
  • Scalable Data Center Power Management via a Global Stress Signal Miller, D., Master, N., Zhou, Z., Bambos, N., IEEE IEEE. 2015
  • Service Rate Control For Jobs with Decaying Value Master, N., Bambos, N., IEEE IEEE. 2015: 3255–60
  • Channel Responsive Wireless TCP Endo, H., Schubert, K., Bambos, N., IEEE IEEE. 2015: 3622–27
  • Wireless Communications Games in Fixed and Random Environments Zhou, Z., Bambos, N., IEEE IEEE. 2015: 1637–42
  • Target-Rate Driven Resource Sharing in Queueing Systems Zhou, Z., Bambos, N., IEEE IEEE. 2015: 4940–45
  • A General Model for Resource Allocation in Utility Computing Zhou, Z., Bambos, N., IEEE IEEE. 2015: 1746–51
  • Low Latency Policy Iteration via Parallel Processing and Randomization Master, N., Bambos, N., IEEE IEEE. 2015: 1084–91
  • Air Traffic Control Area Configuration Advisories from Near-Optimal Distinct Paths JOURNAL OF AEROSPACE INFORMATION SYSTEMS Bloem, M., Bambos, N. 2014; 11 (11): 764-784

    View details for DOI 10.2514/1.I010219

    View details for Web of Science ID 000348671100002

  • BEST-AP: Non-intrusive estimation of available bandwidth and its application for dynamic access point selection COMPUTER COMMUNICATIONS Dely, P., Kassler, A., Chow, L., Bambos, N., Bayer, N., Einsiedler, H., Peylo, C. 2014; 39: 78-91
  • Randomized Iterations for Low Latency Fixed Point Computation Master, N., Bambos, N., IEEE IEEE. 2014: 5208–15
  • Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning Bloem, M., Bambos, N., IEEE IEEE. 2014: 4911–16
  • Personalized Monitors for Real-Time Detection of Physiological States INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS Chow, L., Bambos, N., Gilman, A., Chander, A. 2014; 5 (4): 1–19
  • Power-Controlled Multiple Access with a Queue-Dependent Backoff Threshold Mounzer, J., Schubert, K., Bambos, N., Goldsmith, A., IEEE IEEE. 2014: 4738–44
  • Channel Exploration for Wireless Media Streaming with Handoff and Rebuffering Control Chow, L., Bambos, N., Singh, J., Jamalipour, A., Deng, D. J. IEEE. 2014: 2282–88
  • Dynamic Resource Management in Virtualized Data Centers with Bursty Traffic Valdez-Vivas, M., Bambos, N., Apostolopoulos, J., Jamalipour, A., Deng, D. J. IEEE. 2014: 4287–93
  • Distributed Smart Grid Architecture for Delay and Price Sensitive Power Management Master, N., Mounzer, J., Bambos, N., Jamalipour, A., Deng, D. J. IEEE. 2014: 3670–75
  • Power Control for Wireless Streaming with HOL Packet Deadlines Master, N., Bambos, N., Jamalipour, A., Deng, D. J. IEEE. 2014: 2263–69
  • Resource Management in Cloud Computing with Frictions and Congestion Weather Valdez-Vivas, M., Bambos, N., Apostolopoulos, J., IEEE IEEE. 2014: 2344–50
  • Network-Assisted Mobile Computing with Optimal Uplink Query Processing IEEE TRANSACTIONS ON MOBILE COMPUTING Chan, C. W., Bambos, N., Singh, J. P. 2013; 12 (6): 1065-1078
  • A software-defined networking approach for handover management with real-time video in WLANs JOURNAL OF MODERN TRANSPORTATION Dely, P., Kassler, A., Chow, L., Bambos, N., Bayer, N., Einsiedler, H., Peylo, C., Mellado, D., Sanchez, M. 2013; 21 (1): 58–65
  • Power Optimization on a Random Wireless Network IEEE International Symposium on Information Theory Proceedings (ISIT) Moustakas, A. L., Bambos, N. IEEE. 2013: 844–848
  • Channel Aware Rebuffering for Wireless Media Streaming with Handoff Control Chow, L., Collins, B., Bambos, N., Dely, P., Kassler, A., Peylo, C., Einsiedler, H., Bayer, N., IEEE IEEE. 2013: 4434–39
  • Congestion versus Accuracy Tradeoffs in IP Traffic Classification Valdez-Vivas, M., Bambos, N., IEEE IEEE. 2013: 1428–33
  • Playout Buffer Responsive Wireless Streaming for Multiple Clients Bommannavar, P., Apostolopoulos, J., Bambos, N., IEEE IEEE. 2013: 2276–81
  • Delay-Sensitive Power Management for Packet Switches IEEE International Conference on Communications (ICC) Valdez-Vivas, M., Bambos, N., O'Neill, D. IEEE. 2013: 4443–4448
  • Resource Allocation and Scheduling for Energy Efficient Tracking IEEE International Conference on Communications (ICC) Bommannavar, P., Apostolopoulos, J., Bambos, N. IEEE. 2013: 1532–1537
  • Latency and Energy in Quality-Driven Applications for Networked Wireless Devices IEEE International Conference on Communications (ICC) Valdez-Vivas, M., Bambos, N. IEEE. 2013: 6019–6024
  • Deadline Aware Packet Scheduling in Switches for Multimedia Streaming Applications IEEE International Conference on Communications (ICC) Bommannavar, P., Apostolopoulos, J., Bambos, N. IEEE. 2013: 3797–3802
  • Power and Delay Aware Management of Packet Switches IEEE TRANSACTIONS ON COMPUTERS Mastroleon, L., O'Neill, D. C., Yolken, B., Bambos, N. 2012; 61 (12): 1789-1799
  • Optimizing Intensive Care Unit Discharge Decisions with Patient Readmissions OPERATIONS RESEARCH Chan, C. W., Farias, V. F., Bambos, N., Escobar, G. J. 2012; 60 (6): 1323-1341
  • Nonlinear Cooperative Dynamics in Distributed Power Control for Wireless Networks IEEE International Conference on Communications (ICC) Mounzer, J., Bambos, N. IEEE. 2012
  • Approximating the Likelihood of Historical Airline Actions to Evaluate Airline Delay Cost Functions 51st IEEE Annual Conference on Decision and Control (CDC) Bloem, M., Huang, H., Bambos, N. IEEE. 2012: 508–513
  • Resource Constrained Failure Management in Networked Computing Systems IEEE Global Communications Conference (GLOBECOM) Bommannavar, P., Bambos, N. IEEE. 2012
  • Playout-Buffer Aware Hand-Off Control for Wireless Video Streaming IEEE Global Communications Conference (GLOBECOM) Chow, L., Collins, B., Bambos, N., Peylo, C., Einsiedler, H., Bayer, N., Dely, P., Kassler, A. IEEE. 2012: 5237–5242
  • Power Optimization on a Network: The effects of randomness IEEE International Symposium on Information Theory Moustakas, A. L., Bambos, N. IEEE. 2012: 606–610
  • Power Budgeted Packet Scheduling for Wireless Multimedia IEEE International Conference on Communications (ICC) Bommannavar, P., Bambos, N., Apostolopoulos, J. IEEE. 2012: 2108–2113
  • Distributed Delay-Power Control Algorithms for Bandwidth Sharing in Wireless Networks IEEE-ACM TRANSACTIONS ON NETWORKING Baccelli, F., Bambos, N., Gast, N. 2011; 19 (5): 1458-1471
  • An Integrated Approach to Security Risk Management for IT-Intensive Organizations JOURNAL OF INFORMATION ASSURANCE AND SECURITY Mounzer, J., Alpcan, T., Bambos, N. 2011; 6 (2): 115–23
  • Game based capacity allocation for utility computing environments International Conference on Game Theory for Networks Yolken, B., Bambos, N. SPRINGER. 2011: 165–81
  • Coordinated Tactical Air Traffic and Airspace Management 50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC) Bloem, M., Bambos, N. IEEE. 2011: 5287–5292
  • Optimal State Estimation under Observation Budget Constraints Int. Journal on Advances in Intelligent Systems. Bommannavar, P., Bambos, N. 2011; 4 (3-4): 57-67
  • Security Risk Management via Dynamic Games with Learning IEEE International Conference on Communications (ICC) Bommannavar, P., Alpcan, T., Bambos, N. IEEE. 2011
  • Security Risk Management in Computing Systems with Constraints on Service Disruption 20th International Conference on Computer Communications and Networks (ICCCN) Bommannavar, P., Bambos, N. IEEE. 2011
  • A characterization of max-min SIR-balanced power allocation with applications WIRELESS NETWORKS Stanczak, S., Kaliszan, M., Bambos, N. 2010; 16 (8): 2335-2347
  • Adaptive data-aware utility-based scheduling in resource-constrained systems JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING Vengerov, D., Mastroleon, L., Murphy, D., Bambos, N. 2010; 70 (9): 871-879
  • Channel, Deadline, and Distortion (CD2) Aware Scheduling for Video Streams over Wireless IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Dua, A., Chan, C. W., Bambos, N., Apostolopoulos, J. 2010; 9 (3): 1001-1011
  • Hybrid Power Control Algorithms for Streaming and Data Traffic in Wireless Networks 2010 IEEE International Conference on Communications Mounzer, J., Bambos, N. IEEE. 2010
  • Optimal State Surveillance under Budget Constraints Bommannavar, P., Bambos, N., Atmaca, T., Logothetis, M. D. IARIA XPS PRESS. 2010: 68–73
  • ADMISSION CONTROL FOR AUTONOMOUS WIRELESS LINKS WITH POWER CONSTRAINTS Kaliszan, M., Stanczak, S., Bambos, N., IEEE IEEE. 2010: 3138–41
  • "Locking" Dynamics and Mitigation Schemes in Distributed Power Control for Wireless Networks IEEE Global Telecommunications Conference (GLOBECOM 2010) Mounzer, J., Bambos, N. IEEE. 2010
  • Dynamic Control and Mitigation of Interdependent IT Security Risks 2010 IEEE International Conference on Communications Mounzer, J., Alpcan, T., Bambos, N. IEEE. 2010
  • Joint Task Migration and Power Management in Wireless Computing IEEE TRANSACTIONS ON MOBILE COMPUTING Gitzenis, S., Bambos, N. 2009; 8 (9): 1189-1204
  • Scheduling Algorithms for Broadcasting Media with Multiple Distortion Measures IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Chan, C. W., Bambos, N., Wee, S., Apostolopoulos, J. 2009; 8 (8): 4188-4199
  • Projective Cone, Scheduling (PCS) Algorithms for Packet Switches of Maximal Throughput IEEE-ACM TRANSACTIONS ON NETWORKING Ross, K., Bambos, N. 2009; 17 (3): 976-989
  • Cost and Target-Based Scheduling for Switch Power Control IEEE International Conference on Communications (ICC 2009) Yolken, B., Tsamis, D., Bambos, N. IEEE. 2009: 1103–1108
  • Dynamic resource modeling for heterogeneous wireless networks IEEE International Conference on Communications (ICC 2009) Tsamis, D., Alpcan, T., Singh, J. P., Bambos, N. IEEE. 2009: 5086–5091
  • Game Theoretic Rate Control for Mobile Devices International Conference on Game Theory for Networks Tsamis, D., Alpcan, T., Bambos, N. IEEE. 2009: 646–652
  • Backlog Aware Scheduling for Ingress Memories in High-Radix, Single-Stage Switches IEEE Global Telecommunications Conference (GLOBECOM 09) Tsamis, D., Yolken, B., Bambos, N., Olesinski, W., Eberle, H., Gura, N. IEEE. 2009: 6031–6035
  • A Characterization of Max-Min SIR-Balanced Power Allocation with Applications IEEE International Symposium on Information Theory (ISIT 2009) Stanczak, S., Kaliszan, M., Bambos, N., Wiczanowski, M. IEEE. 2009: 2747–2751
  • Content-aware playout and packet scheduling for video streaming over wireless links IEEE TRANSACTIONS ON MULTIMEDIA Li, Y., Markopoulou, A., Apostolopoulos, J., Bambos, N. 2008; 10 (5): 885-895
  • Joint transmitter power control and mobile cache management in wireless computing IEEE TRANSACTIONS ON MOBILE COMPUTING Gitzenis, S., Bambos, N. 2008; 7 (4): 498-512
  • Transmission power and duration-aware playout control for packetized media streaming over wireless links WIRELESS COMMUNICATIONS & MOBILE COMPUTING Li, Y., Bambos, N. 2008; 8 (3): 309-326

    View details for DOI 10.1002/wcm.579

    View details for Web of Science ID 000254350100004

  • Wireless video broadcasting to diverse users IEEE International Conference on Communications (ICC 2008) Chan, C. W., Bambos, N., Wee, S., Apostolopoulos, J. IEEE. 2008: 377–382
  • Security decision-making among interdependent organizations 21st IEEE-Computer-Security-Foundation Conference Miura-Ko, R. A., Yolken, B., Mitchell, J., Bambos, N. IEEE COMPUTER SOC. 2008: 66–80
  • Admission Control for Power-Controlled Wireless Networks under General Interference Functions 42nd Asilomar Conference on Signals, Systems and Computers Stanczak, S., Kaliszan, M., Bambos, N. IEEE. 2008: 900–904
  • Target-Based Power Control for Queueing Systems with Applications to Packet Switches IEEE Global Telecommunications Conference (GLOBECOM 08) Yolken, B., Tsamis, D., Bambos, N. IEEE. 2008
  • Security investment games of interdependent organizations 46th Annual Allerton Conference on Communication, Control and Computing Miura-Ko, R. A., Yolken, B., Bambos, N., Mitchell, J. IEEE. 2008: 252–260
  • Backlog aware scheduling for large buffered crossbar switches IEEE International Conference on Communications (ICC 2008) Dua, A., Yolken, B., Bambos, N., Olesinski, W., Eberle, H., Gura, N. IEEE. 2008: 59–64
  • Network-Assisted Wireless Computing 19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications Chan, C. W., Bambos, N., Singh, J. P. IEEE. 2008: 1458–1462
  • Power management of packet switches via differentiated delay targets IEEE International Conference on Communications (ICC 2008) Yolken, B., Bambos, N. IEEE. 2008: 354–359
  • Downlink wireless packet scheduling with deadlines IEEE TRANSACTIONS ON MOBILE COMPUTING Dua, A., Bambos, N. 2007; 6 (12): 1410-1425
  • TCP performance dynamics and link-layer adaptation based optimization methods for wireless networks IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Singh, J. P., Li, Y., Bambos, N., Bahai, A., Xu, B., Zimmermann, G. 2007; 6 (5): 1864-1879
  • Wireless packet scheduling with soft deadlines IEEE International Conference on Communications (ICC 2007) Dua, A., Bambos, N. IEEE. 2007: 5677–5682
  • SecureRank: A risk-based vulnerability management scheme for computing infrastructures IEEE International Conference on Communications (ICC 2007) Miura-Ko, R. A., Bambos, N. IEEE. 2007: 1455–1460
  • Power aware management of packet switches 15th Annual IEEE Symposium on High-Performance Interconnects Mastroleon, L., O'Neill, D., Yolken, B., Bambos, N. IEEE COMPUTER SOC. 2007: 47–53
  • Power managed packet switching IEEE International Conference on Communications (ICC 2007) Dua, A., Yolken, B., Bambos, N. IEEE. 2007: 357–362
  • Performance Tradeoffs in Mobile Computing: To Fetch Or Not To Fetch? 5th ACM International Workshop on Mobility Management and Wireless Access (MobiWac 2007) Dua, A., Bambos, N., Singh, J. P. ASSOC COMPUTING MACHINERY. 2007: 99–106
  • Buffer management for wireless media streaming IEEE Global Telecommunications Conference (GLOBECOM 07) Dua, A., Bambos, N. IEEE. 2007: 5226–5230
  • Target-driven and incentive-aligned power control for wireless networks IEEE Global Telecommunications Conference (GLOBECOM 07) Yolken, B., Bambos, N. IEEE. 2007: 4467–4472
  • Backlog aware low complexity schedulers for input queued packet switches 15th Annual IEEE Symposium on High-Performance Interconnects Dua, A., Bambos, N., Olesinski, W., Eberle, H., Gura, N. IEEE COMPUTER SOC. 2007: 39–46
  • Optimal scheduling of media packets with multiple distortion measures IEEE International Conference on Multimedia and Expo (ICME 2007) Chan, C. W., Bambos, N., Wee, S., Apostolopoulos, J. IEEE. 2007: 955–958
  • Joint power-playout control for media streaming over wireless links IEEE TRANSACTIONS ON MULTIMEDIA Li, Y., Markopoulou, A., Bambos, N., Apostolopoulos, J. 2006; 8 (4): 830-843
  • Optimal processor allocation to differentiated job flows PERFORMANCE EVALUATION Wasserman, K. M., Michailidis, G., Bambos, N. 2006; 63 (1): 1-14
  • Geometry of Packet Switching: Maximal Throughput Cone Scheduling Algorithms, High-Performance Packet Switching Architectures (Editors: I. Elhanany, M. Hamdi), Chapter 4, Aug. 2006 Ross, K., Bambos, N. Springer 2007. 2006: pp. 81–99
  • Adaptive Batch Scheduling for Packet Switching with Delays, High-Performance Packet Switching Architectures (Editors: I. Elhanany, M. Hamdi), Chapter 3, Aug. 2006 Ross, K., Bambos, N. Springer 2007. 2006: pp. 65–79
  • Patching Rate Management For Controlled Service-Disruption In Data Centers IEEE Global Telecommunications Conference (GLOBECOM 06) Mastroleon, L., Miura-Ko, R. A., Bambos, N. IEEE. 2006
  • Low-Jitter Scheduling Algorithms for Deadline-Aware Packet Switches IEEE Global Telecommunications Conference (GLOBECOM 06) Dua, A., Bambos, N. IEEE. 2006
  • Power-managed block level file decryption in wireless network computing 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks Gitzenis, S., Bambos, N. IEEE. 2006: 308–316
  • Cross-layer multi-hop wireless routing for inter-vehicle communication 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities Singh, J. P., Bambos, N., Srinivasan, B., Clawin, D. IEEE. 2006: 43–52
  • Job scheduling for maximal throughput in autonomic computing systems 1st International Workshop on Self-Organizing Systems (IWSOS 2006) Ross, K., Bambos, N. SPRINGER-VERLAG BERLIN. 2006: 105–119
  • Joint Power Allocation and Scheduling for Deadline Constrained Wireless Traffic IEEE Global Telecommunications Conference (GLOBECOM 06) Dua, A., Bambos, N. IEEE. 2006
  • Receiver-based optimization for video delivery over wireless links IEEE International Conference on Multimedia and Expo (ICME 2006) Chan, C., Apostolopoillos, J., Li, Y., Bambos, N. IEEE. 2006: 861–864
  • Power Control and QoS Trade-offs for Real-Time Wireless Traffic IEEE Wireless Communications and Networking Conference Dua, A., Bambos, N. IEEE. 2006: 1148–1153
  • Capacity Maximizing Packet Scheduling Algorithms for Interconnection Networks with Finite Buffers IEEE Global Telecommunications Conference (GLOBECOM 06) Ross, K., Bambos, N. IEEE. 2006
  • Downlink Scheduling of Heterogeneous Traffic IEEE International Conference on Communications (ICC 2006) Dua, A., Bambos, N. IEEE. 2006: 5252–5257
  • Optimal power, throughput and routing for wireless link arrays IEEE INFOCOM 2006 Conference/25th IEEE International Conference on Computer Communications Baccelli, F., Bambos, N., Chan, C. IEEE. 2006: 1374–1385
  • A fuzzy reinforcement learning approach to control in wireless transmitters IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Vengerov, D., Bambos, N., Berenji, H. 2005; 35 (4): 768-778

    Abstract

    We address the issue of power-controlled shared channel access in wireless networks supporting packetized data traffic. We formulate this problem using the dynamic programming framework and present a new distributed fuzzy reinforcement learning algorithm (ACFRL-2) capable of adequately solving a class of problems to which the power control problem belongs. Our experimental results show that the algorithm converges almost deterministically to a neighborhood of optimal parameter values, as opposed to a very noisy stochastic convergence of earlier algorithms. The main tradeoff facing a transmitter is to balance its current power level with future backlog in the presence of stochastically changing interference. Simulation experiments demonstrate that the ACFRL-2 algorithm achieves significant performance gains over the standard power control approach used in CDMA2000. Such a large improvement is explained by the fact that ACFRL-2 allows transmitters to learn implicit coordination policies, which back off under stressful channel conditions as opposed to engaging in escalating "power wars."

    View details for DOI 10.1109/TSMCB.2005.846001

    View details for Web of Science ID 000230569000010

    View details for PubMedID 16128459

  • Queueing networks of random link topology: Stationary dynamics of maximal throughput schedules QUEUEING SYSTEMS Bambos, N., Michailidis, G. 2005; 50 (1): 5-52
  • Autonomic power management schemes for Internet servers and data centers IEEE Global Telecommunications Conference (GLOBECOM 05) Mastroleon, L., Bambos, N., Kozyrakis, C., Economou, D. IEEE. 2005: 943–947
  • Transmitter Power Control in Wireless Networking: Basic Principles and Core Algorithms Signal Processing for Mobile Communications Handbook (Editor: M. Ibnkahla), Chapter 23 Bambos, N., Gitzenis, S. CRC Press. 2005: 21 pages
  • Transmitter Power Control in Wireless Computing Mobile Computing Handbook (Editors: M. Ilyas, I. Mahgoub), Chapter 34 Gitzenis, S., Bambos, N. CRC Press. 2005: 32 pages
  • Energy-Efficient Communication in Battery-Constrained Portable Devices 2nd International Conference on Broadband Networks (BroadNets 05) Markopoulou, A., Li, Y., Chan, C., Bambos, N. IEEE. 2005: 441-?
  • On the singular behavior of a queueing system with random connectivity 44th IEEE Conference on Decision Control/European Control Conference (CCD-ECC) Michailidis, G., Bambos, N. IEEE. 2005: 5348–5353
  • Short paper: Dynamic risk mitigation for 'self-defending' network security 1st International Conference on Security and Privacy for Emerging Areas in Communication Networks Bambos, N. IEEE COMPUTER SOC. 2005: 421–423
  • On the fairness delay trade-off in wireless packet scheduling IEEE Global Telecommunications Conference (GLOBECOM 05) Dua, A., Bambos, N. IEEE. 2005: 2544–2548
  • Packet scheduling across networks of switches 4th International Conference on Networking (ICN 2005) Ross, K., Bambos, N. SPRINGER-VERLAG BERLIN. 2005: 849–856
  • Dynamic quality of service control in packet switch scheduling IEEE International Conference on Communications (ICC 2005) Ross, K., Bambos, N. IEEE. 2005: 396–401
  • Channel state awareness based transmission power adaptation for efficient TCP dynamics in wireless networks IEEE International Conference on Communications (ICC 2005) Singh, J. P., Li, Y., Bambos, N. IEEE. 2005: 3553–3559
  • Empirical observations on wireless LAN performance in vehicular traffic scenarios and link connectivity based enhancements for multihop routing IEEE Wireless Communications and Networking Conference Singh, J. P., Bambos, N., Srinivasan, L., Clawin, D., Yan, Y. C. IEEE. 2005: 1676–1682
  • Deadline constrained packet scheduling for wireless networks 62nd IEEE Vehicular Technology Conference Dua, A., Bambos, N. IEEE. 2005: 196–200
  • Transmission power and playout control for packetized audio streaming over wireless links International Conference on Wireless Networks, Communications and Mobile Computing Li, Y., Bambos, N. IEEE. 2005: 55–62
  • Queueing and scheduling in random environments ADVANCES IN APPLIED PROBABILITY Bambos, N., Michailidis, G. 2004; 36 (1): 293-317
  • Distributed power and admission control for time varying wireless networks IEEE Global Telecommunications Conference (GLOBECOM 04) Holliday, T., GOLDSMITH, A., Glynn, P., Bambos, N. IEEE. 2004: 768–774
  • Optimizing quality of service in packet switch scheduling IEEE International Conference on Communications (ICC 2004) Ross, K., Bambos, N. IEEE. 2004: 1986–1990
  • Power controlled wireless links for video streaming applications 60th IEEE Vehicular Technology Conference Li, Y., Bambos, N. IEEE. 2004: 2577–2581
  • Proposal and demonstration of link connectivity assessment based enhancements to routing in mobile ad-hoc networks 58th IEEE Vehicular Technology Conference (VTC 2003) Singh, J. P., Bambos, N., Srinivasan, B., Clawin, D. IEEE. 2004: 2834–2838
  • Power-controlled wireless links for media streaming applications 3rd Wireless Telecommunications Symposium (WTS) Li, Y., Bambos, N. IEEE. 2004: 102–111
  • Distributed power and admission control for time-varying wireless networks IEEE International Symposium on Information Theory Holliday, T., Goldsmith, A., Bambos, N., Glynn, P. IEEE. 2004: 351–351
  • A service risk-management approach to capacity protection in optical networks 13th IEEE Workshop on Local and Metropolitan Area Networks (LANMAN 2004) Bambos, N., Gitzenis, S., Miura, A., Gerstel, O., Paraschis, L. IEEE. 2004: 69–74
  • Integrated power control for circuit & packet switched traffic in wireless networks 58th IEEE Vehicular Technology Conference (VTC 2003) Gitzenis, S., Bambos, N. IEEE. 2004: 2604–2609
  • Local search scheduling algorithms for maximal throughput in packet switches 23rd Annual Joint Conference of the IEEE Computer and Communications Societies Ross, K., Bambos, N. IEEE. 2004: 1158–1169
  • Efficient data prefetching for power-controlled wireless packet networks 1st Annual International Conference on Mobile and Ubiquitous Systems (MOBIQUITOUS 2004) Gitzenis, S., Bambos, N. IEEE COMPUTER SOC. 2004: 64–73
  • Mobile to base task migration in wireless computing 2nd IEEE Annual Conference on Pervasive Computing and Communications Gitzenis, S., Bambos, N. IEEE COMPUTER SOC. 2004: 187–196
  • Power-controlled media streaming in the interference-limited wireless networks 1st International Conference on Broadband Networks Li, Y., Bambos, N. IEEE COMPUTER SOC. 2004: 560–568
  • Power control for TCP adaptation to high-mobility broadband systems 60th IEEE Vehicular Technology Conference Singh, J. P., Bambos, N., Radermacher, K., Scharf-Katz, V. IEEE. 2004: 3501–3505
  • Scheduling bursts in time-domain wavelength interleaved networks IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Ross, K., Bambos, N., Kumaran, K., Saniee, I., Widjaja, I. 2003; 21 (9): 1441-1451
  • Queueing dynamics and maximal throughput scheduling in switched processing systems QUEUEING SYSTEMS Armony, M., Bambos, N. 2003; 44 (3): 209-252
  • On stability of queueing networks with job deadlines JOURNAL OF APPLIED PROBABILITY Ward, A. R., Bambos, N. 2003; 40 (2): 293-304
  • Autonomic admission control for networked information servers 6th INFORMS Telecommunications Conference Paleologo, G. A., Bambos, N. KLUWER ACADEMIC PUBLISHERS. 2003: 227–244
  • Power-controlled packet relays in wireless data networks IEEE Global Telecommunications Conference (GLOBECOM 03) Gitzenis, S., Bambos, N. IEEE. 2003: 464–469
  • Dynamic scheduling of optical data bursts in time-domain wavelength interleaved networks 11th Symposium on High Performance Interconnects Ross, K., Bambos, N., Kumaran, K., Saniee, I., Widjaja, I. IEEE COMPUTER SOC. 2003: 108–113
  • Local/remote task execution in network computing 4th International Conference on Internet Computing (IC 03) Gitzenis, S., Bambos, N. C S R E A PRESS. 2003: 842–848
  • Power-controlled multiple access schemes for next-generation wireless packet networks IEEE WIRELESS COMMUNICATIONS Bambos, N., Kandukuri, S. 2002; 9 (3): 58-64
  • Optimal control of parallel queues with batch service PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES Xia, C. H., Michailidis, G., Bambos, N., Glynn, P. W. 2002; 16 (3): 289-307
  • Power-efficient MAC scheme using channel probing in multirate wireless ad hoc networks 56th IEEE Vehicular Technology Conference Kim, J. W., Bambos, N. IEEE. 2002: 2380–2384
  • Adaptive learning scheme for power control in wireless transmitters 56th IEEE Vehicular Technology Conference Vengerov, D., Bambos, N., Berenji, H. R. IEEE. 2002: 2390–2394
  • Power-controlled data prefetching/caching in wireless packet networks 21st Annual Joint Conference of the IEEE-Computer-and-Communications-Societies Gitzenis, S., Bambos, N. IEEE. 2002: 1405–1414
  • Wireless LAN performance under varied stress conditions in vehicular traffic scenarios 56th IEEE Vehicular Technology Conference Singh, A. P., Bambos, N., Srinivasan, B. R., Clawin, D. IEEE. 2002: 743–747
  • On parallel queuing with random server connectivity and routing constraints PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES Bambos, N., Michailidis, G. 2002; 16 (2): 185-203
  • Dynamic on-line task scheduling on parallel processors Symposium on Advanced Performance Modeling Xia, C. H., Michailidis, G., Bambos, N. ELSEVIER SCIENCE BV. 2001: 219–33
  • Globally constrained power control across multiple channels in wireless data networks IEEE International Workshop on Mobile Multimedia Communication (MOMUC 99) Bambos, N., Kandukuri, S. SPRINGER. 2001: 427–34
  • Power control for multirate wireless networks with groupwise serial multiuser detection IEEE Global Telecommunications Conference (GLOBECOM 01) Kim, J. W., Bambos, N. IEEE. 2001: 3201–3205
  • Multimodal Dynamic Multiple Access (MDMA) in wireless packet networks 20th Annual Joint Conference of the IEEE-Computer-Society/IEEE-Communication-Society Kandukuri, S., Bambos, N. IEEE. 2001: 199–208
  • Channel access algorithms with active link protection for wireless communication networks with power control IEEE-ACM TRANSACTIONS ON NETWORKING Bambos, N., Chen, S. C., Pottie, G. J. 2000; 8 (5): 583-597
  • The synchronization of Poisson processes and queueing networks with service and synchronization nodes ADVANCES IN APPLIED PROBABILITY Prabhakar, B., Bambos, N., Mountford, T. S. 2000; 32 (3): 824-843
  • Power-induced time division on asynchronous channels WIRELESS NETWORKS Rulnick, J. M., Bambos, N. 1999; 5 (2): 71-80
  • Toward power-sensitive network architectures in wireless communications: Concepts, issues, and design aspects IEEE PERSONAL COMMUNICATIONS Bambos, N. 1998; 5 (3): 50-59
  • Mobile power management for wireless communication networks WIRELESS NETWORKS Rulnick, J. M., Bambos, N. 1997; 3 (1): 3-14
  • On a singular feature of critical G/M/1 queues SYSTEMS & CONTROL LETTERS Prabhakar, B., Bambos, N. 1996; 28 (5): 239-245
  • The Supercomputer Supernet testbed: A WDM-based supercomputer interconnect JOURNAL OF LIGHTWAVE TECHNOLOGY Kleinrock, L., Gerla, M., Bambos, N., Cong, J., Gafni, E., Bergman, L., Bannister, J., Monacos, S. P., Bujewski, T., Hu, P. C., Kannan, B., Kwan, B., Leonardi, E., Peck, J., Palnati, P., Walton, S. 1996; 14 (6): 1388–99

    View details for DOI 10.1109/50.511669

    View details for Web of Science ID A1996UT34600046

  • Adaptive mobile multimedia networks IEEE PERSONAL COMMUNICATIONS Alwan, A., Bagrodia, R., Bambos, N., Gerla, M., Kleinrock, L., Short, J., Villasenor, J. 1996; 3 (2): 34–51

    View details for DOI 10.1109/98.490751

    View details for Web of Science ID A1996UF69300003

  • Optimal server allocation to parallel queues with finite-capacity buffers PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES Wasserman, K. M., Bambos, N. 1996; 10 (2): 279–85
  • The Supercomputer Supernet (SSN): A high-speed electro-optic campus and metropolitan network Bambos, N., Bannister, J., Bergman, L., Cong, J., Gafni, E., Gerla, M., Kleinrock, L., Monacos, S., Hu, P. C., Kannan, B., Kwan, B., Palnati, P., Peck, J., Walton, S., Cloonan, T. J. SPIE - INT SOC OPTICAL ENGINEERING. 1996: 22–33

    View details for DOI 10.1117/12.235857

    View details for Web of Science ID A1996BF31L00003

  • Convergence of departures in tandem networks of center dot/GI/infinity queues PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES Prabhakar, B., Mountford, T. S., Bambos, N. 1996; 10 (4): 487-500
  • The Supercomputer Supernet: A Scalable Distributed Terabit Network. Journal of High Speed Networks. Kleinrock, L., Gerla, M., Bambos, N., Cong, J., Gafni, E., Bergman, L., Bannister, J. 1995; 4 (4): 407-424

    View details for DOI 10.3233/JHS-1995-4406

  • Asymptotic optimality of statistical multiplexing in pipelined processing QUEUEING SYSTEMS Bambos, N., Wasserman, K. 1995; 21 (1-2): 97–123

    View details for DOI 10.1007/BF01158576

    View details for Web of Science ID A1995TW31000004

  • On Stationary Tandem Queueing Networks with Job Feedback Queueing Systems Bambos, N., Wasserman, K. 1994; 15 (1-4): 137-164

    View details for DOI 10.1007/BF01189235

  • Optimality Aspects of Greedy Schemes in Parallel Processing of Random Graph-Structured Jobs Probability in the Engineering and Informational Sciences Bambos, N., Chen, S. C. 1994; 8 (2): 229-243
  • On Infinite Queueing Tandems. System & Control Letters Bambos, N., Prabhakar, B. 1994; 23 (3): 305-314
  • SCHEDULING AND STABILITY ASPECTS OF A GENERAL-CLASS OF PARALLEL PROCESSING SYSTEMS ADVANCES IN APPLIED PROBABILITY BAMBOS, N., WALRAND, J. 1993; 25 (1): 176–202

    View details for DOI 10.2307/1427501

    View details for Web of Science ID A1993KR98900009

  • ON THE MAXIMUM CAPACITY OF POWER-CONTROLLED CELLULAR NETWORKS BAMBOS, N., POTTIE, G. J., Holtzman, J. M., Goodman, D. J. KLUWER ACADEMIC PUBLISHERS. 1993: 275–88
  • On Closed Ring Queueing Networks Journal of Applied Probability Bambos, N. 1992; 29 (4): 979-995

    View details for DOI 10.2307/3214729

  • ON STABILITY AND PERFORMANCE OF PARALLEL PROCESSING SYSTEMS JOURNAL OF THE ACM BAMBOS, N., WALRAND, J. 1991; 38 (2): 429–52
  • On Flows in Stochastic Marked Graphs Probability in the Engineering and Informational Sciences Baccelli, F., Bambos, N., Walrand, J. 1991; 5 (2): 145-157
  • AN INVARIANT DISTRIBUTION FOR THE G/G/1 QUEUING OPERATOR ADVANCES IN APPLIED PROBABILITY BAMBOS, N., WALRAND, J. 1990; 22 (1): 254–56

    View details for DOI 10.2307/1427610

    View details for Web of Science ID A1990CY04600017

  • ON THE ASYMPTOTIC EXECUTION TIME OF MULTITASKED PROCESSES ON TANDEM PROCESSORS SYSTEMS & CONTROL LETTERS BAMBOS, N., WALRAND, J. 1989; 13 (5): 391–96
  • ON STABILITY OF STATE-DEPENDENT QUEUES AND ACYCLIC QUEUING-NETWORKS ADVANCES IN APPLIED PROBABILITY BAMBOS, N., WALRAND, J. 1989; 21 (3): 681–701

    View details for DOI 10.2307/1427642

    View details for Web of Science ID A1989AN42600011

  • ON QUEUES WITH PERIODIC INPUTS JOURNAL OF APPLIED PROBABILITY BAMBOS, N., WALRAND, J. 1989; 26 (2): 381–89

    View details for DOI 10.2307/3214043

    View details for Web of Science ID A1989AD69800014

  • FLOW-ANALYSIS OF STOCHASTIC MARKED GRAPHS BACCELLI, F., BAMBOS, N., WALRAND, J., IEEE I E E E. 1989: 1528–31