Ioannis Ch. Paschalidis

Orcid: 0000-0002-3343-2913

According to our database1, Ioannis Ch. Paschalidis authored at least 198 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to the control and optimization of communication and sensor networks, manufacturing systems, and biological systems".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations.
CoRR, 2024

Smooth Ranking SVM via Cutting-Plane Method.
CoRR, 2024

2023
Personalized hypertension treatment recommendations by a data-driven model.
BMC Medical Informatics Decis. Mak., December, 2023

Adversarial Imitation Learning from Visual Observations using Latent Information.
CoRR, 2023

Improving Adaptive Online Learning Using Refined Discretization.
CoRR, 2023

Attention Hybrid Variational Net for Accelerated MRI Reconstruction.
CoRR, 2023

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees.
CoRR, 2023

Unconstrained Dynamic Regret via Sparse Coding.
CoRR, 2023

An End-to-End HPC Framework for Dynamic Power Objectives.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Unconstrained Dynamic Regret via Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Convergence of Actor-Critic with Multi-Layer Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

On the Performance of Temporal Difference Learning With Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Stackelberg Game Approach to Control the Overall Load Consumption of a Residential Neighborhood.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance.
IEEE Trans. Sustain. Comput., 2022

Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic.
IEEE Trans. Intell. Transp. Syst., 2022

Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks.
IEEE Trans. Control. Netw. Syst., 2022

Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.
IEEE Trans. Autom. Control., 2022

Robust Grouped Variable Selection Using Distributionally Robust Optimization.
J. Optim. Theory Appl., 2022

Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population.
J. Am. Medical Informatics Assoc., 2022

Closing the gap between SVRG and TD-SVRG with Gradient Splitting.
CoRR, 2022

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse.
CoRR, 2022

Optimal Parameter-free Online Learning with Switching Cost.
CoRR, 2022

Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task.
CoRR, 2022

Optimal Comparator Adaptive Online Learning with Switching Cost.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Context-Aware Destination and Time-To-Destination Prediction Using Machine learning.
Proceedings of the IEEE International Smart Cities Conference, 2022

PDE-Based Optimal Strategy for Unconstrained Online Learning.
Proceedings of the International Conference on Machine Learning, 2022

Site-Wide HPC Data Center Demand Response.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns.
Frontiers Digit. Health, 2021

Learning parametric policies and transition probability models of markov decision processes from data.
Eur. J. Control, 2021

Distributionally Robust Multi-Output Regression Ranking.
CoRR, 2021

Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers.
CoRR, 2021

Strongly Adaptive OCO with Memory.
CoRR, 2021

Communication-efficient SGD: From Local SGD to One-Shot Averaging.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalized Proximal Policy Optimization with Sample Reuse.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Planning Strategies for Lane Reversals in Transportation Networks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Online Baum-Welch algorithm for Hierarchical Imitation Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Provable Hierarchical Imitation Learning via EM.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Editorial The IEEE Transactions on Control of Network Systems and the Evolution of the Field.
IEEE Trans. Control. Netw. Syst., 2020

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent.
IEEE Signal Process. Mag., 2020

Learning from animals: How to Navigate Complex Terrains.
PLoS Comput. Biol., 2020

Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions.
J. Mach. Learn. Res., 2020

Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator.
Int. J. Medical Informatics, 2020

Distributionally Robust Learning.
Found. Trends Optim., 2020

Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric.
CoRR, 2020

Local SGD With a Communication Overhead Depending Only on the Number of Workers.
CoRR, 2020

Coordinated Demand Response By Data Centers Using Inverse Optimization.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems.
IEEE Trans. Smart Grid, 2019

Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets.
IEEE Trans. Smart Grid, 2019

Learning Policies for Markov Decision Processes From Data.
IEEE Trans. Autom. Control., 2019

Asymptotic Network Independence in Distributed Optimization for Machine Learning.
CoRR, 2019

A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent.
CoRR, 2019

Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning models for writing better doctor prescriptions.
Proceedings of the 17th European Control Conference, 2019

Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions.
Proceedings of the 17th European Control Conference, 2019

Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Data Center Demand Response Pricing Using Inverse Optimization.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes.
Proceedings of the 2019 American Control Conference, 2019

A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli.
Proceedings of the 2019 American Control Conference, 2019

2018
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models.
IEEE Trans. Signal Process., 2018

The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies.
Proc. IEEE, 2018

Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach.
Proc. IEEE, 2018

Neural circuits for learning context-dependent associations of stimuli.
Neural Networks, 2018

A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization.
J. Mach. Learn. Res., 2018

Federated learning of predictive models from federated Electronic Health Records.
Int. J. Medical Informatics, 2018

Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN.
CoRR, 2018

Clinical Concept Extraction with Contextual Word Embedding.
CoRR, 2018

A Distributionally Robust Optimization Approach for Outlier Detection.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Fully Asynchronous Push-Sum With Growing Intercommunication Intervals.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Botnet Detection Based on Anomaly and Community Detection.
IEEE Trans. Control. Netw. Syst., 2017

An Actor-Critic Algorithm With Second-Order Actor and Critic.
IEEE Trans. Autom. Control., 2017

Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures.
SIGMETRICS Perform. Evaluation Rev., 2017

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.
CoRR, 2017

Feature extraction in Q-learning using neural networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Provision of Regulation Service by Smart Buildings.
IEEE Trans. Smart Grid, 2016

Focused grid-based resampling for protein docking and mapping.
J. Comput. Chem., 2016

Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks.
CoRR, 2016

Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applicationm.
CoRR, 2016

Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System.
IEEE Access, 2016

Cooperative multi-quadrotor pursuit of an evader in an environment with no-fly zones.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Optimal allocation of metabolic functions among organisms in a microbial ecosystem.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

The price of anarchy in transportation networks by estimating user cost functions from actual traffic data.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A joint sparse clustering and classification approach with applications to hospitalization prediction.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning parameterized policies for Markov decision processes through demonstrations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
A Message-Passing Algorithm for Wireless Network Scheduling.
IEEE/ACM Trans. Netw., 2015

Statistical Traffic Anomaly Detection in Time-Varying Communication Networks.
IEEE Trans. Control. Netw. Syst., 2015

Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit.
IEEE Trans. Biomed. Eng., 2015

Robust Fluid Processing Networks.
IEEE Trans. Autom. Control., 2015

Data-driven estimation in equilibrium using inverse optimization.
Math. Program., 2015

The Impact of Side-Chain Packing on Protein Docking Refinement.
J. Chem. Inf. Model., 2015

Accounting for observed small angle X-ray scattering profile in the protein-protein docking server cluspro.
J. Comput. Chem., 2015

Temporal logic motion control using actor-critic methods.
Int. J. Robotics Res., 2015

Prediction of hospitalization due to heart diseases by supervised learning methods.
Int. J. Medical Informatics, 2015

Distribution-dependent robust linear optimization with applications to inventory control.
Ann. Oper. Res., 2015

Learning cellular objectives from fluxes by inverse optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An improved composite hypothesis test for Markov models with applications in network anomaly detection.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quadrotor deployment for emergency response in smart cities: A robust MPC approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
Formation Detection with Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2014

Predicting and Evaluating the Effect of Bivalirudin in Cardiac Surgical Patients.
IEEE Trans. Biomed. Eng., 2014

Robust anomaly detection in dynamic networks.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

A Hessian actor-critic algorithm.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimization on the space of rigid and flexible motions: An alternative manifold optimization approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Botnet detection using social graph analysis.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Model-Free Stochastic Localization of CBRN Releases.
IEEE Trans. Signal Process., 2013

Scheduling Mobile Nodes for Cooperative Data Transport in Sensor Networks.
IEEE/ACM Trans. Netw., 2013

Distributed scheduling of wireless networks: A message passing approach.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

A predictive model for the anticoagulant bivalirudin administered to cardiac surgical patients.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Network anomaly detection: A survey and comparative analysis of stochastic and deterministic methods.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A new distributed algorithm for side-chain positioning in the process of protein docking.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Flexible refinement of protein-ligand docking on manifolds.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Smart building real time pricing for offering load-side Regulation Service reserves.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Position and Movement Detection of Wireless Sensor Network Devices Relative to a Landmark Graph.
IEEE Trans. Mob. Comput., 2012

Inverse Optimization: A New Perspective on the Black-Litterman Model.
Oper. Res., 2012

Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2012

On delay-minimized data harvesting with mobile elements in wireless sensor networks.
Ad Hoc Networks, 2012

Stochastic localization of CBRN releases.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A message passing approach to Side Chain Positioning with applications in protein docking refinement.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A new approach to rigid body minimization with application to molecular docking.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Provision of regulation service reserves by flexible distributed loads.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning.
IEEE Trans. Ind. Informatics, 2011

Energy Optimized Topologies for Distributed Averaging in Wireless Sensor Networks.
IEEE Trans. Autom. Control., 2011

Cyber-physical systems for next generation intelligent buildings.
SIGBED Rev., 2011

Improved delay-minimized data harvesting with mobile elements in wireless sensor networks.
Proceedings of the 9th International Symposium on Modeling and Optimization in Mobile, 2011

Modeling the effects of bivalirudin in cardiac surgical patients.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A market-based mechanism for providing demand-side regulation service reserves.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Least squares temporal difference actor-critic methods with applications to robot motion control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Posture detection with body area networks.
Proceedings of the 6th International Conference on Body Area Networks, 2011

2010
Statistical anomaly detection with sensor networks.
ACM Trans. Sens. Networks, 2010

A Distributed Actor-Critic Algorithm and Applications to Mobile Sensor Network Coordination Problems.
IEEE Trans. Autom. Control., 2010

The capacity of sparse networks under controlled mobility.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On distributed multiple access control for wireless sensor networks.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Robust and distributed stochastic localization in sensor networks: Theory and experimental results.
ACM Trans. Sens. Networks, 2009

Spatio-temporal network anomaly detection by assessing deviations of empirical measures.
IEEE/ACM Trans. Netw., 2009

Optimized Scheduled Multiple Access Control for Wireless Sensor Networks.
IEEE Trans. Autom. Control., 2009

Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments.
Proceedings of the Mobile Entity Localization and Tracking in GPS-less Environnments, 2009

An actor-critic method using Least Squares Temporal Difference learning.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

On energy optimized averaging in wireless sensor networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Production planning and quality of service allocation across the supply chain in a dynamic lead time model.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Optimally balancing energy consumption versus latency in sensor network routing.
ACM Trans. Sens. Networks, 2008

Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes.
PLoS Comput. Biol., 2008

A Decomposition Method for Transmission Scheduling in Multi-Channel Wireless Sensor Networks.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

On robust maximum lifetime routing in wireless sensor networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Anomaly detection in sensor networks based on large deviations of Markov chain models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Landmark-based position and movement detection of wireless sensor network devices.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
Asymptotically optimal transmission policies for large-scale low-power wireless sensor networks.
IEEE/ACM Trans. Netw., 2007

SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking.
IEEE Trans. Autom. Control., 2007

Sensor network minimal energy routing with latency guarantees.
Proceedings of the 8th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2007

Optimizing noisy funnel-like functions on the euclidean group with applications to protein docking.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Solving sensor network coverage problems by distributed asynchronous actor-critic methods.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Optimal transmission scheduling policies for wireless sensor networks with frequency diversity.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Robust and distributed localization in sensor networks.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Statistical location detection with sensor networks.
IEEE Trans. Inf. Theory, 2006

Enforcing Service-Level Constraints in Supply Chains With Assembly Operations.
IEEE Trans. Autom. Control., 2006

Protein-protein docking with reduced potentials by exploiting multi-dimensional energy funnels.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Large Deviations Approach to Statistical Traffic Anomaly Detection.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Routing through noise and sleeping nodes in sensor networks: latency vs. energy trade-offs.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Deployment optimization of sensornet-based stochastic location-detection systems.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

Asymptotically optimal transmission policies for low-power wireless sensor networks.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

A Semi-Definite programming-based Underestimation method for global optimization in molecular docking.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Robust Linear Optimization: On the benefits of distributional information and applications in inventory control.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Importance sampling for the estimation of buffer overflow probabilities via trace-driven simulations.
IEEE/ACM Trans. Netw., 2004

Target-pursuing scheduling and routing policies for multiclass queueing networks.
IEEE Trans. Autom. Control., 2004

Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis.
Ann. Oper. Res., 2004

Optimizing location detection services in wireless sensor networks.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

On maximizing the utility of uplink transmissions in sensor networks under explicit fairness constraints.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Large Deviations-Based Asymptotics for Inventory Control in Supply Chains.
Oper. Res., 2003

Target-Pursuing Policies for Open Multiclass Queueing Networks.
Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

New scheduling policies for multiclass queueing networks: applications to peer-to-peer systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Supply chain (SC) production planning with dynamic lead time and quality of service constraints.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects.
IEEE/ACM Trans. Netw., 2002

Distributed resource allocation in multiservice communication networks using pricing.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
On the estimation of buffer overflow probabilities from measurements.
IEEE Trans. Inf. Theory, 2001

Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems.
Oper. Res., 2001

Model-based estimation of buffer overflow probabilities from measurements.
Proceedings of the Joint International Conference on Measurements and Modeling of Computer Systems, 2001

Threshold-based control for make-to-stock models: a synergy between large deviations and perturbation analysis.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Congestion-dependent pricing of network services.
IEEE/ACM Trans. Netw., 2000

1999
Large deviations analysis of the generalized processor sharing policy.
Queueing Syst. Theory Appl., 1999

Class-specific quality of service guarantees in multimedia communication networks.
Autom., 1999

1998
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach.
IEEE Trans. Autom. Control., 1998

1996
Large deviations in high speed communication networks.
PhD thesis, 1996

1995
Branching bandits and Klimov's problem: achievable region and side constraints.
IEEE Trans. Autom. Control., 1995

1994
Congestion avoidance for ATM networks.
Comput. Commun., 1994


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