World's Best Scientists 2026 revealed!

Overview

Alexander G. Tartakovsky is affiliated with the Moscow Institute of Physics and Technology in the Russian Federation. Their research spans key areas in decision sciences and mathematics, with a particular focus on statistical methods and applications in complex systems monitoring and detection.

The scientist's work primarily contributes to the fields of:

  • Decision Sciences
  • Mathematics

Tartakovsky's subfields of study cover:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Emergency Medical Services
  • Control and Systems Engineering
  • Computer Networks and Communications

Their main research topics include:

  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Statistical Methods in Clinical Trials
  • Healthcare Operations and Scheduling Optimization
  • Fault Detection and Control Systems
  • Scientific Measurement and Uncertainty Evaluation

Alexander G. Tartakovsky has published extensively in various venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of Moscow Institute of Physics and Technology
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Information Theory
  • Sequential Analysis

Notable recent papers authored or coauthored by Tartakovsky include:

  • Optimal Sequential Detection of Signals With Unknown Appearance and Disappearance Points in Time, 2021, IEEE Transactions on Signal Processing
  • Nearly Optimal Adaptive Sequential Tests for Object Detection, 2020, IEEE Transactions on Signal Processing

Additional related works appearing under coauthors include:

  • Quickest Change Detection With Non-Stationary Post-Change Observations, 2022, IEEE Transactions on Information Theory
  • Minimax and Pointwise Sequential Changepoint Detection and Identification for General Stochastic Models, 2022, Journal of Multivariate Analysis
  • Detecting an Intermittent Change of Unknown Duration, 2023, Sequential Analysis

Frequent collaborators of Tartakovsky include:

  • V.S. Spivak
  • N.R. Berenkov
  • Grigory Sokolov
  • Yuchen Liang
  • Venugopal V. Veeravalli

Best Publications

  • Sequential Analysis: Hypothesis Testing and Changepoint Detection

    Alexander Tartakovsky;Igor Nikiforov;Michele Basseville

  • A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods

    A.G. Tartakovsky;B.L. Rozovskii;R.B. Blazek;Hongjoong Kim

  • General Asymptotic Bayesian Theory of Quickest Change Detection

    A. G. Tartakovsky;V. V. Veeravalli

  • Detection of intrusions in information systems by sequential change-point methods

    Alexander G. Tartakovsky;Boris L. Rozovskii;Rudolf B. Blažek;Hongjoong Kim

  • A novel approach to detection of \denial{of{service" attacks via adaptive sequential and batch{sequential change{point detection methods

    Boris Rozovskii;Alexander Tartakovsky

  • Asymptotically Optimal Quickest Change Detection in Distributed Sensor Systems

    Alexander G. Tartakovsky;Venugopal Varadachari Veeravalli

  • Efficient Computer Network Anomaly Detection by Changepoint Detection Methods

    A. G. Tartakovsky;A. S. Polunchenko;G. Sokolov

  • State-of-the-Art in Sequential Change-Point Detection

    Aleksey S. Polunchenko;Alexander G. Tartakovsky

  • Asymptotic Performance of a Multichart CUSUM Test Under False Alarm Probability Constraint

    A.G. Tartakovsky

  • ON OPTIMALITY PROPERTIES OF THE SHIRYAEV-ROBERTS PROCEDURE

    Moshe Pollak;Alexander G. Tartakovsky

  • Sequential detection of targets in multichannel systems

    A.G. Tartakovsky;X.R. Li;G. Yaralov

  • Asymptotic Optimality of Certain Multihypothesis Sequential Tests: Non‐i.i.d. Case

    Alexander G. Tartakovsky

  • Quickest change detection in distributed sensor systems

    A.G. Tartakovsky;V.V. Veeravalli

  • State-of-the-Art in Bayesian Changepoint Detection

    Alexander G. Tartakovsky;George V. Moustakides

  • A NUMERICAL APPROACH TO PERFORMANCE ANALYSIS OF QUICKEST CHANGE-POINT DETECTION PROCEDURES

    George V. Moustakides;Aleksey S. Polunchenko;Alexander G. Tartakovsky

  • Modeling Temporal Activity Patterns in Dynamic Social Networks

    Vasanthan Raghavan;Greg Ver Steeg;Aram Galstyan;Alexander G. Tartakovsky

  • Third-order Asymptotic Optimality of the Generalized Shiryaev--Roberts Changepoint Detection Procedures

    Alexander G. Tartakovsky;Moshe Pollak;Aleksey S. Polunchenko

  • An efficient sequential procedure for detecting changes in multichannel and distributed systems

    A.G. Tartakovsky;V.V. Veeravalli

  • Asymptotic Optimality of Change-Point Detection Schemes in General Continuous-Time Models

    M. Baron;A. G. Tartakovsky

  • Asymptotically optimal sequential tests for nonhomogeneous processes

    Alexander Tartakovsky

Frequent Co-Authors

Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
George V. Moustakides
George V. Moustakides University of Illinois at Urbana-Champaign
Aram Galstyan
Aram Galstyan University of Southern California
Michèle Basseville
Michèle Basseville Institut de Recherche en Informatique et Systèmes Aléatoires
Andrea L. Bertozzi
Andrea L. Bertozzi University of California, Los Angeles
X. Rong Li
X. Rong Li University of New Orleans
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Gerard Medioni
Gerard Medioni Amazon (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens the door to many related online degree programs and career paths. If you have a technical mindset, pursuing an electrical engineering degree online admissions route can provide an excellent foundation in both software and hardware skills. These online programs often offer flexible schedules perfect for working learners.

Many students look for credentials that provide a fast return on investment. There are numerous certifications for jobs which can boost your employability in tech-related roles without a lengthy time commitment. These certifications can be particularly helpful if you want to quickly upgrade your skills for specialized positions.

Some professionals seek advanced qualifications that can be completed quickly. The quickest masters degree online options allow you to earn a master’s degree—sometimes within a year—helping you get ahead in competitive industries.

It’s also wise to explore the most in demand masters degrees that align with your goals. Specializations in data science, cybersecurity, and AI are highly sought after, providing strong pathways to lucrative and future-proof careers.

Best Scientists Citing Alexander G. Tartakovsky

Trending Scientists