World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9752
World Ranking
8256
National Ranking
501

Overview

Mehrdad Dianati is affiliated with the University of Warwick in the United Kingdom. Their research is primarily situated at the intersection of engineering and computer science, focusing extensively on autonomous vehicle technologies and related fields.

Their publication record includes significant contributions in several top venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Robotics and Automation Letters
  • IEEE Internet of Things Journal

Mehrdad Dianati's work covers main fields of study including engineering and computer science, with subfields concentrating on electrical and electronic engineering, computer vision and pattern recognition, automotive engineering, artificial intelligence, and aerospace engineering.

The topics addressed in their research involve:

  • Autonomous Vehicle Technology and Safety
  • Vehicular Ad Hoc Networks (VANETs)
  • Advanced Neural Network Applications
  • Traffic Prediction and Management Techniques
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Privacy-Preserving Technologies in Data

Their frequent co-authors include Konstantinos Koufos, Roger Woodman, Sajjad Mozaffari, Kurt Debattista, and Carsten Maple, with whom they have collaborated multiple times.

Recent papers exemplifying their research contributions include:

  • "Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Integrity Monitoring of GNSS/INS Based Positioning Systems for Autonomous Vehicles: State-of-the-Art and Open Challenges," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks," 2022, IEEE Transactions on Intelligent Vehicles

Best Publications

  • The SECOQC quantum key distribution network in Vienna

    M. Peev;C. Pacher;R. Alléaume;Claudio Barreiro

  • A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

    Sampo Kuutti;Saber Fallah;Konstantinos Katsaros;Mehrdad Dianati

  • A Survey on 3D Object Detection Methods for Autonomous Driving Applications

    Eduardo Arnold;Omar Y. Al-Jarrah;Mehrdad Dianati;Saber Fallah

  • Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review

    Sajjad Mozaffari;Omar Y. Al-Jarrah;Mehrdad Dianati;Paul. A. Jennings

  • Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks

    Chong Han;M. Dianati;R. Tafazolli;R. Kernchen

  • A node-cooperative ARQ scheme for wireless ad hoc networks

    M. Dianati;Xinhua Ling;K. Naik;Xuemin Shen

  • Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform

    Konstantinos Katsaros;Ralf Kernchen;Mehrdad Dianati;David Rieck

  • Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors

    Eduardo Arnold;Mehrdad Dianati;Robert de Temple;Saber Fallah

  • Trajectory planning and tracking for autonomous overtaking: State-of-the-art and future prospects

    Shilp Dixit;Saber Fallah;Umberto Montanaro;Mehrdad Dianati

  • A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

    Unknown

  • Using quantum key distribution for cryptographic purposes

    R. Alléaume;C. Branciard;J. Bouda;T. Debuisschert

  • Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC

    Shilp Dixit;Umberto Montanaro;Mehrdad Dianati;David Oxtoby

  • Massive MIMO Performance With Imperfect Channel Reciprocity and Channel Estimation Error

    De Mi;Mehrdad Dianati;Lei Zhang;Sami Muhaidat

  • A new fairness index for radio resource allocation in wireless networks

    M. Dianati;X. Shen;S. Naik

  • Hybrid Beamforming for Large Antenna Arrays With Phase Shifter Selection

    Sohail Payami;Mir Ghoraishi;Mehrdad Dianati

  • Intrusion Detection Systems for Intra-Vehicle Networks: A Review

    Omar Y. Al-Jarrah;Carsten Maple;Mehrdad Dianati;David Oxtoby

  • Non-Orthogonal Multiple Access (NOMA) for Future Radio Access

    Razieh Razavi;Mehrdad Dianati;Muhammad Ali Imran

  • Architecture and protocols of the future European quantum key distribution network

    Mehrdad Dianati;Romain Alléaume;Maurice Gagnaire;Xuemin (Sherman) Shen

  • RF-powered cognitive radio networks: technical challenges and limitations

    Lina Mohjazi;Mehrdad Dianati;George K. Karagiannidis;Sami Muhaidat

  • Energy efficiency in heterogeneous wireless access networks

    Shobanraj Navaratnarajah;Arsalan Saeed;Mehrdad Dianati;Muhammad Ali Imran

  • Non-Orthogonal Multiple Access (NOMA) for cellular future radio access

    Razieh Razavi;Mehrdad Dianati;Muhammad Ali Imran

Frequent Co-Authors

Rahim Tafazolli
Rahim Tafazolli University of Surrey
Sami Muhaidat
Sami Muhaidat Khalifa University
Xuemin Shen
Xuemin Shen University of Waterloo
Kshirasagar Naik
Kshirasagar Naik University of Waterloo
Mahmoud Al-Qutayri
Mahmoud Al-Qutayri Khalifa University
Anton Zeilinger
Anton Zeilinger University of Vienna
Harald Weinfurter
Harald Weinfurter Ludwig-Maximilians-Universität München
Nicolas Gisin
Nicolas Gisin University of Geneva
Andrew J. Shields
Andrew J. Shields Toshiba (Japan)
Philippe Grangier
Philippe Grangier University of Paris-Saclay

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 unlocks a wide variety of options for further education and diverse career pathways. Many students choose to expand their skill set by exploring related fields through flexible online programs.

For those seeking a fast-tracked entry to the tech industry, a computer science accelerated program can help you complete your degree in less time, making it ideal if you want to quickly build professional credentials.

If you’re interested in solving environmental challenges, consider an environmental engineering online degree. This path prepares you for roles at the intersection of technology and sustainability.

Engineering and technology also overlap in fields like mechanical engineering and physics. An online degree in mechanical engineering is excellent for those fascinated by the design and production of machines, while the best online physics degree offers a foundation in scientific research and analytical problem solving.

Online programs provide flexibility, affordability, and access to a range of career opportunities, helping you find the pathway that’s right for you.

Best Scientists Citing Mehrdad Dianati

Trending Scientists

Recently Published Articles