World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14191
World Ranking
7023
National Ranking
3078

Research.com Recognitions

  • 2009 - ACM Fellow For the development of dynamic Bayes networks and anytime algorithms.
  • 1994 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to the fields of automated planning, temporal reasoning, and robotics.

Overview

Thomas Dean is affiliated with Google in the United States. Their primary area of research lies within the field of Medicine, with specific focus on Immunology and Allergy, Physiology, Public Health, Environmental and Occupational Health, Surgery, and Complementary and Alternative Medicine.

The topics covered by Thomas Dean's research include:

  • Asthma and respiratory diseases
  • Food Allergy and Anaphylaxis Research
  • Eosinophilic Esophagitis
  • Consumer Attitudes and Food Labeling
  • Obesity, Physical Activity, Diet
  • Allergic Rhinitis and Sensitization
  • Complementary and Alternative Medicine Studies

The scientist has contributed to a range of peer-reviewed publications over recent years. Notable papers include:

  • Different Measures of Diet Diversity During Infancy and the Association with Childhood Food Allergy in a UK Birth Cohort Study, 2020, published in The Journal of Allergy and Clinical Immunology In Practice
  • Dietary diversity during infancy and the association with childhood food allergen sensitization, 2021, Pediatric Allergy and Immunology
  • Food Allergy Prevalence in Two Population-Based UK Cohorts Born 12 Years Apart, 2025, Clinical & Experimental Allergy
  • Introduction time of highly allergenic foods to the infant diet in a UK cohort and association with a family history of allergy, 2025, European Journal of Clinical Nutrition
  • Temporal changes in maternal dietary intake during pregnancy and lactation between and within two pregnancy cohorts assembled in the United Kingdom, 2020, Journal of Allergy and Clinical Immunology

Thomas Dean has frequently published in venues such as:

  • British Journal of Surgery
  • The Journal of Allergy and Clinical Immunology In Practice
  • Pediatric Allergy and Immunology
  • Clinical & Experimental Allergy
  • European Journal of Clinical Nutrition

The scientist has collaborated regularly with several co-authors, including Carina Venter, Kate Maslin, Syed Hasan Arshad, Arabella Baker, and Natalie Bonsu.

Among accolades, Thomas Dean was named ACM Fellow in 2009 for work on dynamic Bayes networks and anytime algorithms. Additionally, they were recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1994, acknowledged for contributions to automated planning, temporal reasoning, and robotics.

Best Publications

  • Decision-theoretic planning: structural assumptions and computational leverage

    Craig Boutilier;Thomas Dean;Steve Hanks

  • A model for reasoning about persistence and causation

    Thomas Dean;Keiji Kanazawa

  • An analysis of time-dependent planning

    Thomas Dean;Mark Boddy

  • Planning and Control

    Thomas L. Dean;Michael P. Wellman

  • Temporal data base management

    Thomas L. Dean;Drew McDermott

  • On the complexity of solving Markov decision problems

    Michael L. Littman;Thomas L. Dean;Leslie Pack Kaelbling

  • Solving time-dependent planning problems

    Mark Boddy;Thomas Dean

  • Bounded-parameter Markov decision process

    Robert Givan;Sonia Leach;Thomas Dean

  • Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

    Thomas Dean;Mark A. Ruzon;Mark Segal;Jonathon Shlens

  • Equivalence notions and model minimization in Markov decision processes

    Robert Givan;Thomas Dean;Matthew Greig

  • Deliberation scheduling for problem solving in time-constrained environments

    Mark Boddy;Thomas L. Dean

  • Planning Under Time Constraints in Stochastic Domains

    Thomas Dean;Leslie Pack Kaelbling;Jak Kirman;Ann Nicholson

  • Hierarchical solution of Markov decision processes using macro-actions

    Milos Hauskrecht;Nicolas Meuleau;Leslie Pack Kaelbling;Thomas Dean

  • Probabilistic temporal reasoning

    Thomas Dean;Keiji Kanazawa

  • Planning with deadlines in stochastic domains

    Thomas Dean;Leslie Pack Kaelbling;Jak Kirman;Ann Nicholson

  • Artificial Intelligence: Theory and Practice

    Thomas Dean;James Allen;Yiannis Aloimonos

  • Model minimization in Markov decision processes

    Thomas Dean;Robert Givan

  • Solving very large weakly coupled Markov decision processes

    Nicolas Meuleau;Milos Hauskrecht;Kee-Eung Kim;Leonid Peshkin

  • Neural networks and neuroscience-inspired computer vision.

    David Daniel Cox;Thomas Dean

  • Contextual LSTM (CLSTM) models for Large scale NLP tasks.

    Shalini Ghosh;Oriol Vinyals;Brian Strope;Scott Roy

  • Decomposition Techniques for Planning in Stochastic Domains

    Thomas Dean;Shieu-Hong Lin

Frequent Co-Authors

Craig Boutilier
Craig Boutilier Google (United States)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Jonathon Shlens
Jonathon Shlens Google (United States)
Larry P. Heck
Larry P. Heck Georgia Institute of Technology
Greg Corrado
Greg Corrado Google (United States)
Michael L. Littman
Michael L. Littman Brown University
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Gary F. Marcus
Gary F. Marcus New York University
Loren M. Frank
Loren M. Frank University of California, San Francisco

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