World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
105
Citations
62459
World Ranking
281
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Ian Reid is affiliated with the University of Adelaide in Australia and specializes in Environmental Science with a focus on various subfields including Ecology, Global and Planetary Change, Civil and Structural Engineering, Earth-Surface Processes, and Management, Monitoring, Policy and Law. Their research encompasses key topics such as Hydrology and Sediment Transport Processes, Flood Risk Assessment and Management, Hydraulic flow and structures, Geological formations and processes, Landslides and related hazards, and Advancements in Photolithography Techniques.

Reid has contributed to multiple publications across several venues. Frequent publication outlets for their work include Earth Surface Processes and Landforms, Water Resources Research, Harvard Dataverse, and arXiv (Cornell University).

  • Novel mass-aggregation-based calibration of an acoustic method of monitoring bedload flux by infrequent desert flash floods, 2020, Earth Surface Processes and Landforms
  • Transient Bedload Transport During Flashflood Bores in a Desert Gravel-Bed Channel, 2023, Water Resources Research
  • Formation of repeating bar-flat bedforms in ephemeral gravel bed channels: 2. Bridging mathematical modelling and field observations, 2025, Earth Surface Processes and Landforms
  • bedload from ephemeral channels, 2022, Harvard Dataverse
  • Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning, 2025, arXiv (Cornell University)

Ian Reid collaborates frequently with several researchers, including Jonathan B. Laronne, Michael Dorman, Eran Halfi, Kyle Stark, and Gianluca Massera. Their cooperative work spans multiple papers and projects contributing to the breadth of their research outputs.

  • Jonathan B. Laronne
  • Michael Dorman
  • Eran Halfi
  • Kyle Stark
  • Gianluca Massera

Their research mainly explores environmental processes related to hydrology and sediment dynamics, particularly focusing on bedload transport during episodic flash floods and ephemeral gravel-bed channels. This includes the development and application of mathematical modeling and acoustic methods for monitoring geological and hydrological phenomena.

Best Publications

  • MonoSLAM: Real-Time Single Camera SLAM

    A.J. Davison;I.D. Reid;N.D. Molton;O. Stasse

  • Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

    Hamid Rezatofighi;Nathan Tsoi;JunYoung Gwak;Amir Sadeghian

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

    Guosheng Lin;Anton Milan;Chunhua Shen;Ian Reid

  • MOT16: A Benchmark for Multi-Object Tracking

    Anton Milan;Laura Leal-Taixé;Ian D. Reid;Stefan Roth

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;B. G. Vijay Kumar;Gustavo Carneiro;Ian D. Reid

  • Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

    Fayao Liu;Chunhua Shen;Guosheng Lin;Ian Reid

  • Articulated body motion capture by annealed particle filtering

    J. Deutscher;A. Blake;I. Reid

  • Single View Metrology

    A. Criminisi;I. Reid;A. Zisserman

  • Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

    Guosheng Lin;Chunhua Shen;Anton van den Hengel;Ian Reid

  • Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

    Laura Leal-Taixé;Anton Milan;Ian D. Reid;Stefan Roth

  • Stable multi-target tracking in real-time surveillance video

    Ben Benfold;Ian Reid

  • Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

    Huangying Zhan;Ravi Garg;Chamara Saroj Weerasekera;Kejie Li

  • A plane measuring device

    Antonio Criminisi;Ian D. Reid;Andrew Zisserman

  • Online multi-target tracking using recurrent neural networks

    Anton Milan;S. Hamid Rezatofighi;Anthony Dick;Ian Reid

  • Articulated Body Motion Capture by Stochastic Search

    Jonathan Deutscher;Ian Reid

  • MOT20: A benchmark for multi object tracking in crowded scenes.

    Patrick Dendorfer;Hamid Rezatofighi;Anton Milan;Javen Shi

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;Vijay Kumar Bg;Gustavo Carneiro;Ian Reid

  • Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

    Vineet Kosaraju;Amir Sadeghian;Roberto Martín-Martín;Ian D. Reid

Frequent Co-Authors

Chunhua Shen
Chunhua Shen Zhejiang University
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Lingqiao Liu
Lingqiao Liu University of Adelaide
Anton van den Hengel
Anton van den Hengel University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University
Victor Adrian Prisacariu
Victor Adrian Prisacariu University of Oxford
Qinfeng Shi
Qinfeng Shi University of Adelaide
Tat-Jun Chin
Tat-Jun Chin University of Adelaide
Anthony Dick
Anthony Dick University of Adelaide
Andrew Zisserman
Andrew Zisserman University of Oxford

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

The landscape for online education in the USA is evolving rapidly, opening up new opportunities for students interested in Computer Science and related fields. Many institutions now offer cheap online college classes, making education more accessible and affordable for those on a budget.

For students concerned about academic requirements, there are several reputable online graduate programs that accept 2.0 gpa. This allows a wider range of applicants to pursue advanced degrees without traditional barriers.

Interested in diversifying your career options? Consider an environmental science degree. Skills from Computer Science pair well with environmental studies, unlocking roles in sustainable tech and environmental data analysis.

For those eager to fast-track their entry into the tech workforce, explore the fast track computer science degree programs available online. These accelerated options help you gain essential skills and credentials in less time, paving the way for a dynamic career.

Best Scientists Citing Ian Reid

Trending Scientists