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Computer Science

D-Index
53
Citations
10734
World Ranking
4846
National Ranking
2258

Research.com Recognitions

  • 2010 - Fellow of the American Statistical Association (ASA)

Overview

George Michailidis is affiliated with the University of Florida in the United States. Their research primarily spans the field of Computer Science with contributions across various subfields including Artificial Intelligence, Molecular Biology, Statistics and Probability, Management Science and Operations Research, and Control and Systems Engineering.

The scientist's body of work addresses multiple topics, notably Statistical Methods and Inference, Metabolomics and Mass Spectrometry Studies, Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Bayesian Modeling and Causal Inference, and Fault Detection and Control Systems.

George Michailidis has published extensively with notable contributions to the following venues:

  • arXiv (Cornell University)
  • Statistica Sinica
  • Quality Engineering
  • Automatica
  • IEEE Transactions on Signal Processing

The researcher has collaborated frequently with several co-authors, including:

  • Abolfazl Safikhani (11 collaborations)
  • Jiahe Lin (9 collaborations)
  • Kshitij Khare (9 collaborations)
  • Subramaniam Pennathur (8 collaborations)
  • Davoud Ataee Tarzanagh (7 collaborations)

Among recent publications, the following papers stand out:

  • Gut microbiota dysbiosis and altered tryptophan catabolism contribute to autoimmunity in lupus-susceptible mice, 2020, Science Translational Medicine
  • Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease, 2021, Nature Reviews Nephrology
  • Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review, 2022, Frontiers in Genetics
  • DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization, 2022, IEEE Transactions on Signal Processing
  • Optimism-Based Adaptive Regulation of Linear-Quadratic Systems, 2020, IEEE Transactions on Automatic Control

George Michailidis has been recognized as a Fellow of the American Statistical Association (ASA) since 2010.

Best Publications

  • Joint estimation of multiple graphical models

    Jian Guo;Elizaveta Levina;George Michailidis;Ji Zhu

  • Critical limitations of consensus clustering in class discovery

    Yasin Șenbabaoğlu;Yasin Șenbabaoğlu;George Michailidis;Jun Z. Li

  • The Gifi system of descriptive multivariate analysis

    George Michailidis;Jan de Leeuw

  • Sequential Experiment Design for Contour Estimation From Complex Computer Codes

    Pritam Ranjan;Derek Bingham;George Michailidis

  • A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data

    Zi Yang;George Michailidis

  • Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

    Kelli M. Sas;Pradeep Kayampilly;Jaeman Byun;Viji Nair

  • Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.

    Sumanta Basu;Sumanta Basu;William Duren;Charles R. Evans;Charles F. Burant

  • Discovering graphical Granger causality using the truncating lasso penalty

    Ali Shojaie;George Michailidis

  • Metabolomic Profiling Reveals Potential Markers and Bioprocesses Altered in Bladder Cancer Progression

    Nagireddy Putluri;Ali Shojaie;Ali Shojaie;Vihas T Vasu;Vihas T Vasu;Shaiju K Vareed

  • Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs

    Ali Shojaie;George Michailidis

  • Electric Power Allocation in a Network of Fast Charging Stations

    I. S. Bayram;G. Michailidis;M. Devetsikiotis;F. Granelli

  • Interconnectedness in the Interbank Market

    Celso Brunetti;Jeffrey H. Harris;Shawn Mankad;George Michailidis

  • Metabolomics and Diabetes: Analytical and Computational Approaches

    Kelli M. Sas;Alla Karnovsky;George Michailidis;Subramaniam Pennathur

  • Analysis of Gene Sets Based on the Underlying Regulatory Network

    Ali Shojaie;George Michailidis

  • Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer

    Amjad P. Khan;Laila M. Poisson;Vadiraja B. Bhat;Damian Fermin

  • Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease.

    Judy Baek;Chenchen He;Farsad Afshinnia;George Michailidis

  • Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks

    N. Katenka;E. Levina;G. Michailidis

  • LASS: a tool for the local analysis of self-similarity

    Stilian Stoev;Murad S. Taqqu;Cheolwoo Park;George Michailidis

  • Network tomography: A review and recent developments

    Earl Lawrence;George Michailidis;Vijayan N. Nair;Bowei Xi

  • Graph-Based Semisupervised Learning

    M. Culp;G. Michailidis

  • Electric Power Allocation in a Network of Fast Charging Stations

    I. Safak Bayram;George Michailidis;Michael Devetsikiotis;Fabrizio Granelli

  • A REVIEW AND RECENT DEVELOPMENTS

    Earl Lawrence;George Michailidis;Vijayan N. Nair

  • Estimation in High-dimensional Vector Autoregressive Models

    Sumanta Basu;George Michailidis

Frequent Co-Authors

Nagireddy Putluri
Nagireddy Putluri Baylor College of Medicine
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
Michael Devetsikiotis
Michael Devetsikiotis University of New Mexico
Elizaveta Levina
Elizaveta Levina University of Michigan–Ann Arbor
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Philip C. Andrews
Philip C. Andrews University of Michigan–Ann Arbor
Cristian Coarfa
Cristian Coarfa Baylor College of Medicine
Nicholas Bambos
Nicholas Bambos Stanford University
Arul M. Chinnaiyan
Arul M. Chinnaiyan University of Michigan–Ann Arbor

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