World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14712
World Ranking
7017
National Ranking
3075

Electronics and Electrical Engineering

D-Index
41
Citations
13249
World Ranking
4194
National Ranking
1503

Overview

Tucker Balch is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields, prominently including Computer Science and Economics, Econometrics, and Finance. Balch's work integrates various subfields such as Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, Finance, and Information Systems.

Their research interests focus significantly on complex financial systems and computational methods for forecasting and analysis. Key topics covered by Balch include stock market forecasting methods, complex systems and time series analysis, financial markets and investment strategies, blockchain technology applications and security, auction theory and applications, sports analytics and performance, and time series analysis and forecasting.

Balch has published extensively, contributing particularly to venues such as arXiv (Cornell University), with 48 publications, making it their most frequent outlet. Other publication venues include the SSRN Electronic Journal, Proceedings on Privacy Enhancing Technologies, Proceedings of the AAAI Conference on Artificial Intelligence, and the Oxford Review of Economic Policy.

Recent papers authored or co-authored by Balch cover a range of topics relevant to finance and security:

  • Artificial intelligence research in finance: discussion and examples, 2021, Oxford Review of Economic Policy
  • Financial Time Series Forecasting using CNN and Transformer, 2023, arXiv (Cornell University)
  • MicroSecAgg: Streamlined Single-Server Secure Aggregation, 2024, Proceedings on Privacy Enhancing Technologies
  • Synthetic Data Applications in Finance, 2023, arXiv (Cornell University)
  • Towards multi-agent reinforcement learning-driven over-the-counter market simulations, 2023, Mathematical Finance

Their collaborative network includes frequent co-authors such as Manuela Veloso with 27 joint publications, Svitlana Vyetrenko (20), Vamsi K. Potluru (13), Niccolò Dalmasso (9), and Zhen Zeng (9).

Best Publications

  • Behavior-based formation control for multirobot teams

    T. Balch;R.C. Arkin

  • MCMC-based particle filtering for tracking a variable number of interacting targets

    Zia Khan;T. Balch;F. Dellaert

  • Fast and inexpensive color image segmentation for interactive robots

    J. Bruce;T. Balch;M. Veloso

  • Communication in reactive multiagent robotic systems

    Tucker Balch;Ronald C. Arkin

  • AuRA: Principles and Practice in Review

    Ronald C. Arkin;Tucker R. Balch

  • An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets

    Zia Khan;Tucker R. Balch;Frank Dellaert

  • Social potentials for scalable multi-robot formations

    T. Balch;M. Hybinette

  • Behavioral diversity in learning robot teams

    Tucker R. Balch;Ronald C. Arkin

  • A Rao-Blackwellized particle filter for EigenTracking

    Zia Khan;T. Balch;F. Dellaert

  • Distributed sensor fusion for object position estimation by multi-robot systems

    A.W. Stroupe;M.C. Martin;T. Balch

  • Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity

    Tucker Balch

  • Communication of behavorial state in multi-agent retrieval tasks

    R.C. Arkin;T. Balch;E. Nitz

  • Robot Teams: From Diversity to Polymorphism

    Tucker Balch;Lynne E. Parker

  • Avoiding the past: a simple but effective strategy for reactive navigation

    T. Balch

  • Motor Schema-based Formation Control for Multiagent Robot Teams

    Tucker R. Balch;Ronald C. Arkin

  • Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems

    Sang Min Oh;James M. Rehg;Tucker Balch;Frank Dellaert

  • Cooperative multiagent robotic systems

    Ronald C. Arkin;Tucker Balch

  • MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements

    Zia Khan;T. Balch;F. Dellaert

  • The impact of diversity on performance in multi-robot foraging

    Tucker Balch

  • Automatically tracking and analyzing the behavior of live insect colonies

    Tucker Balch;Zia Khan;Manuela Veloso

Frequent Co-Authors

Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Manuela Veloso
Manuela Veloso Carnegie Mellon University
Ronald C. Arkin
Ronald C. Arkin Georgia Institute of Technology
Peter Stone
Peter Stone The University of Texas at Austin
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill
Minoru Asada
Minoru Asada Osaka University
Karsten Schwan
Karsten Schwan Georgia Institute of Technology
Kim Wallen
Kim Wallen Emory University
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Masahiro Fujita
Masahiro Fujita Sony (Japan)

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