Ioannis Ch. Paschalidis
Orcid: 0000-0002-3343-2913
According to our database1,
Ioannis Ch. Paschalidis
authored at least 211 papers
between 1994 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2014, "For contributions to the control and optimization of communication and sensor networks, manufacturing systems, and biological systems".
Timeline
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Bibliography
2024
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees.
Trans. Mach. Learn. Res., 2024
Trans. Mach. Learn. Res., 2024
Sustain. Comput. Informatics Syst., 2024
J. Biomed. Informatics, 2024
Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response.
Int. J. Medical Informatics, 2024
IEEE Control. Syst. Lett., 2024
CoRR, 2024
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning.
CoRR, 2024
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees.
CoRR, 2024
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems.
CoRR, 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations.
CoRR, 2024
Comput. Biol. Medicine, 2024
Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task.
Adapt. Behav., 2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
2023
BMC Medical Informatics Decis. Mak., December, 2023
Frontiers Bioinform., May, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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
IEEE Trans. Autom. Control., 2022
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
CoRR, 2022
Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Smart Cities Conference, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
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 Multiclass Classification and Applications in Deep CNN Image Classifiers.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
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
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
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric.
CoRR, 2020
CoRR, 2020
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
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Smart Grid, 2019
Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets.
IEEE Trans. Smart Grid, 2019
IEEE Trans. Autom. Control., 2019
CoRR, 2019
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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
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
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
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 Networks, 2018
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization.
J. Mach. Learn. Res., 2018
Int. J. Medical Informatics, 2018
CoRR, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
IEEE Trans. Control. Netw. Syst., 2017
IEEE Trans. Autom. Control., 2017
Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures.
SIGMETRICS Perform. Evaluation Rev., 2017
CoRR, 2017
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
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
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
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
IEEE/ACM Trans. Netw., 2015
IEEE Trans. Control. Netw. Syst., 2015
IEEE Trans. Biomed. Eng., 2015
Math. Program., 2015
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
Int. J. Robotics Res., 2015
Int. J. Medical Informatics, 2015
Distribution-dependent robust linear optimization with applications to inventory control.
Ann. Oper. Res., 2015
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
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
IEEE Trans. Biomed. Eng., 2014
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014
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
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
IEEE Trans. Signal Process., 2013
IEEE/ACM Trans. Netw., 2013
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
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
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
Oper. Res., 2012
Int. J. Distributed Sens. Networks, 2012
Ad Hoc Networks, 2012
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
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
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
IEEE Trans. Autom. Control., 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
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
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
Proceedings of the 6th International Conference on Body Area Networks, 2011
2010
A Distributed Actor-Critic Algorithm and Applications to Mobile Sensor Network Coordination Problems.
IEEE Trans. Autom. Control., 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
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
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
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
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
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
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
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
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
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
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
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
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005
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
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
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
Oper. Res., 2003
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
IEEE Trans. Inf. Theory, 2001
Oper. Res., 2001
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
1999
Queueing Syst. Theory Appl., 1999
Autom., 1999
1998
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach.
IEEE Trans. Autom. Control., 1998
1996
1995
IEEE Trans. Autom. Control., 1995
1994