World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
8116
World Ranking
5696
National Ranking
74

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Helmut Prendinger is affiliated with the National Institute of Informatics in Japan and has focused a considerable part of their research on engineering and computer science. Their work spans a range of subfields including computer vision and pattern recognition, aerospace engineering, control and systems engineering, management science and operations research, and safety, risk, reliability, and quality.

The scientist's research addresses multiple topics, prominently advanced neural network applications, video surveillance and tracking methods, fault detection and control systems, machine fault diagnosis techniques, stock market forecasting methods, air traffic management and optimization, and robotic path planning algorithms.

Helmut Prendinger has contributed to a series of research papers published in respected venues. Notable publications include:

  • Decentralized Multi-Agent Path Finding for UAV Traffic Management, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep learning with RGB and thermal images onboard a drone for monitoring operations, 2022, Journal of Field Robotics
  • Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting, 2022, Sensors
  • Classification prognostics approaches in aviation, 2021, Measurement
  • Multi-Agent Path Finding in Unmanned Aircraft System Traffic Management With Scheduling and Speed Variation, 2021, IEEE Intelligent Transportation Systems Magazine

The researcher frequently publishes in venues such as:

  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • Journal of Field Robotics
  • Sensors

Collaboration has been a significant aspect of Helmut Prendinger's work, often coauthoring with researchers such as Artur Gonçalves, Marc Cavazza, Bastien Rigault, Márcia L. Baptista, and Rúben Geraldes. These recurring partnerships have contributed to a sustained research output in their fields of specialization.

Best Publications

  • THE EMPATHIC COMPANION: A CHARACTER-BASED INTERFACE THAT ADDRESSES USERS' AFFECTIVE STATES

    Helmut Prendinger;Mitsuru Ishizuka

  • Deep learning for affective computing: Text-based emotion recognition in decision support

    Bernhard Kratzwald;Suzana Ilić;Mathias Kraus;Stefan Feuerriegel

  • Life-like characters : tools, affective functions, and applications

    Helmut Prendinger;満 石塚

  • HILDA: A Discourse Parser Using Support Vector Machine Classification

    Hugo Hernault;Helmut Prendinger;David A. duVerle;Mitsuru Ishizuka

  • Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

    Márcia Baptista;Shankar Sankararaman;Ivo Paixao de Medeiros;Cairo L. Nascimento

  • SentiFul: A Lexicon for Sentiment Analysis

    A Neviarouskaya;H Prendinger;M Ishizuka

  • Textual Affect Sensing for Sociable and Expressive Online Communication

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game

    Helmut Prendinger;Junichiro Mori;Mitsuru Ishizuka

  • Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection

    Mohammadamin Barekatain;Miquel Marti;Hsueh-Fu Shih;Samuel Murray

  • Communicating emotions in online chat using physiological sensors and animated text

    Hua Wang;Helmut Prendinger;Takeo Igarashi

  • Social role awareness in animated agents

    Helmut Prendinger;Mitsuru Ishizuka

  • Affect analysis model: Novel rule-based approach to affect sensing from text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Recognition of Affect, Judgment, and Appreciation in Text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Emotion estimation and reasoning based on affective textual interaction

    Chunling Ma;Helmut Prendinger;Mitsuru Ishizuka

  • SentiFul: Generating a reliable lexicon for sentiment analysis

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • MPML: A markup language for controlling the behavior of life-like characters

    Helmut Prendinger;Sylvain Descamps;Mitsuru Ishizuka

  • Compositionality Principle in Recognition of Fine-Grained Emotions from Text

    Alena Neviarouskaya;Helmut Prendinger;Mitsuru Ishizuka

  • Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data

    Raghvendra Jain;Sra Sontisirikit;Sopon Iamsirithaworn;Helmut Prendinger

  • Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

    Márcia Baptista;Elsa M. P. Henriques;Ivo Paixao de Medeiros;Joao P. Malere

  • Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis

    Mostafa Al Shaikh;Helmut Prendinger;Ishizuka Mitsuru

Frequent Co-Authors

Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
Marc Cavazza
Marc Cavazza University of Stirling
Elisabeth André
Elisabeth André University of Augsburg
Yutaka Matsuo
Yutaka Matsuo University of Tokyo
Stefan Feuerriegel
Stefan Feuerriegel Ludwig Maximilian University of Munich
Serge P. Hoogendoorn
Serge P. Hoogendoorn Delft University of Technology
Kiyoharu Aizawa
Kiyoharu Aizawa University of Tokyo
Dirk Heylen
Dirk Heylen University of Twente
Arjen Ysbert Hoekstra
Arjen Ysbert Hoekstra University of Twente
João Pedro Oliveira
João Pedro Oliveira Universidade Nova de Lisboa

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