World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7896
World Ranking
6491
National Ranking
342

Overview

Andry Rakotonirainy is affiliated with the Queensland University of Technology in Australia. Their research spans various aspects of engineering and psychology, focusing particularly on automotive systems and road safety.

Their publication record includes papers primarily in the fields of engineering and psychology, with significant work in automotive engineering, social psychology, safety, risk, reliability and quality, transportation, and computer vision and pattern recognition.

The main topics of their work cover:

  • Human-Automation Interaction and Safety
  • Traffic and Road Safety
  • Transportation and Mobility Innovations
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Vehicle emissions and performance

Frequent co-authors include:

  • Mohammed Elhenawy
  • Sébastien Glaser
  • Mahmoud Masoud
  • Huthaifa I. Ashqar
  • Xiaomeng Li

Rakotonirainy has published in a variety of venues. The most common publication venues are:

  • Transportation Research Part F Traffic Psychology and Behaviour
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Access
  • Accident Analysis & Prevention

Recent papers include:

  • Automatic Emotion Recognition Using Temporal Multimodal Deep Learning, 2020, IEEE Access
  • A Dual Learning Model for Vehicle Trajectory Prediction, 2020, IEEE Access
  • Perception Analysis of E-Scooter Riders and Non-Riders in Riyadh, Saudi Arabia: Survey Outputs, 2021, Sustainability
  • Effects of different non-driving-related-task display modes on drivers' eye-movement patterns during take-over in an automated vehicle, 2020, Transportation Research Part F Traffic Psychology and Behaviour
  • Crash severity analysis of vulnerable road users using machine learning, 2021, PLoS ONE

Best Publications

  • Modeling Context Information in Pervasive Computing Systems

    Karen Henricksen;Jadwiga Indulska;Andry Rakotonirainy

  • Sustainable Business Models: A Review

    Saeed Nosratabadi;Amir Mosavi;Shahaboddin Shamshirband;Edmundas Kazimieras Zavadskas

  • Experiences in using CC/PP in context-aware systems

    Jadwiga Indulska;Ricky Robinson;Andry Rakotonirainy;Karen Henricksen

  • A survey of research on context-aware homes

    Sven Meyer;Andry Rakotonirainy

  • Generating context management infrastructure from high level context models

    Karen Henricksen;Jadwiga Indulska;Andry Rakotonirainy

  • Driving performance impairments due to hypovigilance on monotonous roads

    Grégoire S. Larue;Andry Rakotonirainy;Anthony N. Pettitt

  • Affordable visual driver monitoring system for fatigue and monotony

    T. Brandt;R. Stemmer;A. Rakotonirainy

  • Automatic Driver Stress Level Classification Using Multimodal Deep Learning

    Mohammad Naim Rastgoo;Bahareh Nakisa;Frederic Maire;Andry Rakotonirainy

  • Infrastructure for pervasive computing: Challenges

    Karen Henricksen;Jadwiga Indulska;Andry Rakotonirainy

  • Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework

    Bahareh Nakisa;Mohammad Naim Rastgoo;Andry Rakotonirainy;Frederic Maire

  • Perception, information processing and modeling: Critical stages for autonomous driving applications

    Dominique Gruyer;Valentin Magnier;Karima Hamdi;Laurène Claussmann

  • A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

    Mohammad Naim Rastgoo;Bahareh Nakisa;Andry Rakotonirainy;Vinod Chandran

  • A comparative analysis of e-scooter and e-bike usage patterns:Findings from the City of Austin, TX

    Mohammed Hamad Almannaa;Huthaifa I. Ashqar;Mohammed Elhenawy;Mahmoud Masoud

  • Pervasive Technology and Public Transport: Opportunities Beyond Telematics

    T. D. Camacho;M. Foth;A. Rakotonirainy

  • Context-oriented programming

    Roger Keays;Andry Rakotonirainy

  • Older drivers' crashes in Queensland, Australia

    Andry Rakotonirainy;Dale Steinhardt;Patricia Delhomme;Millie Darvell

  • Automatic Emotion Recognition Using Temporal Multimodal Deep Learning

    Bahareh Nakisa;Mohammad Naim Rastgoo;Andry Rakotonirainy;Frederic Maire

  • Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

    Grégoire S. Larue;Andry Rakotonirainy;Narelle L. Haworth;Millie Darvell

  • A Dual Learning Model for Vehicle Trajectory Prediction

    Mahrokh Khakzar;Andry Rakotonirainy;Andy Bond;Sepehr G. Dehkordi

  • Examining the effects of an eco-driving message on driver distraction

    Hossein Rouzikhah;Mark King;Andry Rakotonirainy

  • Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

    F.D. Salim;Seng Wai Loke;A. Rakotonirainy;B. Srinivasan

  • Collision risk management of cognitively distracted drivers in a car-following situation

    Xiaomeng Li;Xiaomeng Li;Oscar Oviedo-Trespalacios;Andry Rakotonirainy;Xuedong Yan

  • Three social car visions to improve driver behaviour

    Andry Rakotonirainy;Ronald Schroeter;Alessandro Soro

Frequent Co-Authors

Seng Wai Loke
Seng Wai Loke Deakin University
Shonali Krishnaswamy
Shonali Krishnaswamy Monash University
Jadwiga Indulska
Jadwiga Indulska University of Queensland
Luis Ferreira
Luis Ferreira University of Queensland
Hesham A. Rakha
Hesham A. Rakha Virginia Tech
Arkady Zaslavsky
Arkady Zaslavsky Deakin University
Anthony N. Pettitt
Anthony N. Pettitt Queensland University of Technology
Barry C. Watson
Barry C. Watson Queensland University of Technology
Raphael H Grzebieta
Raphael H Grzebieta University of New South Wales
Ann Williamson
Ann Williamson University of New South Wales

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 Engineering and Technology in the USA opens doors to a range of dynamic career pathways and related online degree programs. Many students choose to supplement their tech expertise with business acumen, management skills, or legal knowledge to boost employability and adapt to evolving industry demands.

For those interested in blending engineering with service industry opportunities, consider an online hospitality degree to diversify your skillset. Aspiring leaders seeking affordable, accredited options may pursue the cheapest online mba aacsb programs, providing a recognized and flexible route to executive roles.

If law and compliance appeal to you, especially in fields like intellectual property or technology contracting, explore aba approved paralegal programs for a respected legal credential online. Additionally, for those interested in managing talent and organizational development, a master degree in human resources can complement an engineering background, supporting careers in tech HR leadership or people management.

These pathways allow students and professionals to tailor their education to market trends and personal career goals, all while benefiting from the flexibility of online learning.

Best Scientists Citing Andry Rakotonirainy

Trending Scientists