World's Best Scientists 2026 revealed!
T. Aaron Gulliver

T. Aaron Gulliver

D-Index & Metrics

Computer Science

D-Index
44
Citations
9781
World Ranking
7484
National Ranking
302

Overview

T. Aaron Gulliver is an academic affiliated with the University of Victoria in Canada with a focus on engineering and computer science. Their research spans a range of subfields including electrical and electronic engineering, artificial intelligence, computer networks and communications, control and systems engineering, and building and construction.

The main topics of their work cover multiple areas such as traffic control and management, traffic prediction and management techniques, transportation planning and optimization, coding theory and cryptography, advanced MIMO systems optimization, graph theory and CDMA systems, and underwater vehicles and communication systems.

They have contributed to numerous publications, frequently appearing in various scholarly venues. The top outlets where their work is found include:

  • IEEE Access
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • Civil Engineering Journal
  • Applied Sciences

Some recent papers authored or coauthored by T. Aaron Gulliver include:

  • Low-Complexity MIMO-FBMC Sparse Channel Parameter Estimation for Industrial Big Data Communications, 2020, IEEE Transactions on Industrial Informatics
  • A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise, 2020, IEEE Transactions on Vehicular Technology
  • Unsupervised log message anomaly detection, 2020, ICT Express
  • Image splicing detection using mask-RCNN, 2020, Signal Image and Video Processing
  • Intelligent Outage Probability Prediction for Mobile IoT Networks Based on an IGWO-Elman Neural Network, 2021, IEEE Transactions on Vehicular Technology

Frequent collaborators in their research include:

  • Khurram Shehzad Khattak
  • Lingwei Xu
  • Zawar H. Khan
  • Faryal Ali
  • Ahmed B. Altamimi

T. Aaron Gulliver's research is interdisciplinary, covering aspects from the optimization of communication systems and network anomaly detection to acoustic signal processing in underwater environments. Their work employs methods and technologies relevant to emerging fields like IoT and big data communications, with applications in both terrestrial and underwater settings.

The breadth of their contributions reflects a balance between applied engineering challenges and the development of novel analytical and computational approaches within their fields of study.

Best Publications

  • Constructions of good entanglement-assisted quantum error correcting codes

    Kenza Guenda;Somphong Jitman;T. Aaron Gulliver

  • An RSSI based DV-hop algorithm for wireless sensor networks

    Han Xiao;Hao Zhang;Zengfeng Wang;T. Aaron Gulliver

  • Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids

    Yandong Yang;Wei Li;T. Aaron Gulliver;Shufang Li

  • Low-Complexity MIMO-FBMC Sparse Channel Parameter Estimation for Industrial Big Data Communications

    Han Wang;Lingwei Xu;Zhengqiang Yan;T. Aaron Gulliver

  • Cooperative RSS-Based Localization in Wireless Sensor Networks Using Relative Error Estimation and Semidefinite Programming

    Zengfeng Wang;Hao Zhang;Tingting Lu;T. Aaron Gulliver

  • Single parity check product codes

    Unknown

  • Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids

    Yandong Yang;Jing Zhong;Wei Li;T. Aaron Gulliver

  • Improved denoising method for through-wall vital sign detection using UWB impulse radar

    Xiaolin Liang;Xiaolin Liang;Hao Zhang;Hao Zhang;Shengbo Ye;Guangyou Fang

  • A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise

    Jingjing Wang;Jiaheng Li;Shefeng Yan;Wei Shi

  • Unsupervised log message anomaly detection

    Amir Farzad;T. Aaron Gulliver

  • On self-dual MDS codes

    Unknown

  • An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar

    Xiaolin Liang;Hao Zhang;Guangyou Fang;Shengbo Ye

  • A UAV Detection Algorithm Based on an Artificial Neural Network

    Hao Zhang;Conghui Cao;Lingwei Xu;T. Aaron Gulliver

  • On self-dual codes over some prime fields

    Koichi Betsumiya;Stelios Georgiou;T. Aaron Gulliver;Masaaki Harada

  • Some best rate 1/p and rate (p-1)/p systematic quasi-cyclic codes

    T.A. Gulliver;V.K. Bhargava

  • Image splicing detection using mask-RCNN

    Belal Ahmed;T. Aaron Gulliver;Saif alZahir

  • Performance analysis of IAF relaying mobile D2D cooperative networks

    Lingwei Xu;Jingjing Wang;Hao Zhang;Hao Zhang;T. Aaron Gulliver

  • Graph coloring based spectrum allocation for femtocell downlink interference mitigation

    Li Tan;Zhiyong Feng;Wei Li;Zhong Jing

  • Classification of extremal double-circulant self-dual codes of lengths up to 62

    Masaaki Harada;T. Aaron Gulliver;Hitoshi Kaneta

  • Vehicle Positioning Using 5G Millimeter-Wave Systems

    Unknown

  • Some best rate 1/p and rate (p-1)/p systematic quasi-cyclic codes over GF(3) and GF(4)

    T.A. Gulliver;V.K. Bhargava

  • Wireless Mesh Networks for In-Home IPTV Distribution

    E. Shihab;Lin Cai;Fengdan Wan;A. Gulliver

  • Classification of Extremal Double Circulant Self-Dual Codesof Lengths 64 to 72

    T. Aaron Gulliver;Masaaki Harada

  • A Faster RCNN-Based Pedestrian Detection System

    Xiaotong Zhao;Wei Li;Yifang Zhang;T. Aaron Gulliver

Frequent Co-Authors

Zhiyong Feng
Zhiyong Feng Beijing University of Posts and Telecommunications
Vijay K. Bhargava
Vijay K. Bhargava University of British Columbia
Daniel M. German
Daniel M. German University of Victoria
Patrick Solé
Patrick Solé Centre national de la recherche scientifique, CNRS
Xiaodai Dong
Xiaodai Dong University of Victoria
Ping Zhang
Ping Zhang Beijing University of Posts and Telecommunications
Lin Cai
Lin Cai Illinois Institute of Technology
Amir K. Khandani
Amir K. Khandani University of Waterloo
Rose Qingyang Hu
Rose Qingyang Hu Virginia Tech

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

Pursuing Computer Science in the USA opens doors to a variety of related online programs and career opportunities. Many students are drawn to interdisciplinary fields such as data science, where you can find the cheapest data science degree programs to suit your budget while gaining in-demand skills.

Another popular pathway is electrical engineering, which overlaps with computer systems and hardware. Prospective students can explore electrical engineering online tuition costs to compare and find affordable accredited options.

For those who want to enter the workforce quickly, consider certificate programs that pay well. These short-term programs can lead to lucrative jobs in IT, cybersecurity, and other tech-related fields.

Additionally, if you’re looking to fast-track your education, review the fastest masters degree online options. These accelerated programs let you complete advanced studies in less time, helping you advance your career sooner.

Best Scientists Citing T. Aaron Gulliver

Trending Scientists

Recently Published Articles