Ioannis Ch. Paschalidis

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Sandor VajdaProfessor of Biomedical Engineering, Boston UniversityVerified email at bu.edu
Pirooz VakiliAssociate Professor of Systems Engineering, Boston UniversityVerified email at bu.edu
Dimitris BertsimasBoeing Professor of Operations Research, MITVerified email at mit.edu
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
Dima KozakovFrey Family Foundation Associate Professor, Department of Applied Mathematics and StatisticsVerified email at stonybrook.edu
Michael CaramanisProfessor of Mechanical and Systems Engineering, Boston UniversityVerified email at bu.edu
Theodora S. BrisimiResearch Scientist at IBMVerified email at bu.edu
Jing Conan WangGoogle ResearchVerified email at google.com
Yang ShenAssociate Professor, ECE + CSE @ Texas A&M University ; Research Affiliate, CSAIL + BE @ MITVerified email at tamu.edu
Qi ZhaoPhD of Systems Engineering, Boston UniversityVerified email at bu.edu
Binbin LiBoston University, Tsinghua UniversityVerified email at bu.edu
Hanieh MirzaeiPhd of Systems Engineering, Boston University, Senior Software Engineer GoogleVerified email at bu.edu
Moe Moghadasi, PhDPhD, Systems Engineering, Boston University | Lead Data ScientistVerified email at bu.edu
Spyros VassilarasR&D Programs Manager, Intracom DefenseVerified email at intracomdefense.com
David R. HallAcpharisVerified email at acpharis.com
Vishal GuptaMarshall School of Business, USCVerified email at usc.edu
Paris Pennesip.pennesi@ucl.ac.ukVerified email at ucl.ac.uk
Enes BilginPrincipal AI Engineer, Microsoft Autonomous SystemsVerified email at bu.edu
Calin BeltaProfessor, Boston UniversityVerified email at bu.edu
Morteza LahijanianUniversity of Colorado BoulderVerified email at colorado.edu

Ioannis Ch. Paschalidis

Professor of Electrical and Computer, Systems, and Biomedical Engineering, Boston University

Verified email at bu.edu - Homepage

Optimization and Control Stochastic Systems Robust Learning Health AI Protein Modeling


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Congestion-dependent pricing of network services IC Paschalidis, JN Tsitsiklis IEEE/ACM transactions on networking 8 (2), 171-184, 2000	478	2000
Federated learning of predictive models from federated electronic health records TS Brisimi, R Chen, T Mela, A Olshevsky, IC Paschalidis, W Shi International journal of medical informatics 112, 59-67, 2018	396	2018
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, ... Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010	262	2010
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges F Lamnabhi-Lagarrigue, A Annaswamy, S Engell, A Isaksson, ... Annual Reviews in Control 43, 1-64, 2017	221	2017
Optimization of multiclass queueing networks: Polyhedral and nonlinear characterizations of achievable performance D Bertsimas, IC Paschalidis, JN Tsitsiklis The Annals of Applied Probability 4 (1), 43-75, 1994	216	1994
Development and validation of a prognostic risk score system for COVID-19 inpatients: A multi-center retrospective study in China Y Yuan, C Sun, X Tang, C Cheng, L Mombaerts, M Wang, T Hu, C Sun, ... Engineering, 2020	207	2020
Data-driven estimation in equilibrium using inverse optimization D Bertsimas, V Gupta, IC Paschalidis Mathematical Programming 153 (2), 595-633, 2015	155	2015
Pricing in multiservice loss networks: static pricing, asymptotic optimality and demand substitution effects IC Paschalidis, Y Liu IEEE/ACM Transactions On Networking 10 (3), 425-438, 2002	153	2002
Prediction of hospitalization due to heart diseases by supervised learning methods W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis International journal of medical informatics 84 (3), 189-197, 2015	126	2015
Inverse optimization: A new perspective on the Black-Litterman model D Bertsimas, V Gupta, IC Paschalidis Operations research 60 (6), 1389-1403, 2012	122	2012
Spatio-temporal network anomaly detection by assessing deviations of empirical measures IC Paschalidis, G Smaragdakis IEEE/ACM Transactions On Networking 17 (3), 685-697, 2008	105	2008
Probabilistic service level guarantees in make-to-stock manufacturing systems D Bertsimas, IC Paschalidis Operations Research 49 (1), 119-133, 2001	103	2001
Asymptotic buffer overflow probabilities in multiclass multiplexers: An optimal control approach D Bertsimas, IC Paschalidis, JN Tsitsiklis IEEE Transactions on Automatic Control 43 (3), 315-335, 1998	93	1998
Botnet detection based on anomaly and community detection J Wang, IC Paschalidis IEEE Transactions on Control of Network Systems 4 (2), 392-404, 2016	92	2016
Demand-side management for regulation service provisioning through internal pricing IC Paschalidis, B Li, MC Caramanis IEEE Transactions on Power Systems 27 (3), 1531-1539, 2012	86	2012
ON THE LARGE DEVIATIONS BEHAVIOR OF ACYCLIC NETWORKS OF G/G/l QUEUES1 D Bertsimas, IC Paschalidis, JN Tsitsiklis The Annals of Applied Probability 8 (4), 1027-1069, 1998	76	1998
A robust learning approach for regression models based on distributionally robust optimization R Chen, IC Paschalidis Journal of Machine Learning Research 19 (13), 2018	73	2018
Optimizing warehouse forklift dispatching using a sensor network and stochastic learning RM Estanjini, Y Lin, K Li, D Guo, IC Paschalidis IEEE Transactions on Industrial informatics 7 (3), 476-486, 2011	72*	2011
Large deviations analysis of the generalized processor sharing policy D Bertsimas, IC Paschalidis, JN Tsitsiklis Queueing Systems 32 (4), 319-349, 1999	72	1999
Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis Proceedings of the IEEE 106 (4), 690-707, 2018	66	2018

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