World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
13852
World Ranking
3017
National Ranking
135

Overview

Baris Fidan is affiliated with the University of Waterloo in Canada and focuses on research within the fields of Engineering and Computer Science. Their work spans several subfields including Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering, and Aerospace Engineering.

Their main research topics include:

  • Adaptive Control of Nonlinear Systems
  • Vehicle Dynamics and Control Systems
  • Robotic Path Planning Algorithms
  • Distributed Control Multi-Agent Systems
  • Control and Dynamics of Mobile Robots
  • Soil Mechanics and Vehicle Dynamics
  • Robotics and Sensor-Based Localization

Fidan has published numerous papers in various high-impact venues. Some of the recent publications are:

  • Backstepping-based adaptive control of a quadrotor UAV with guaranteed tracking performance, 2020, ISA Transactions
  • A Review on Vehicle-Trailer State and Parameter Estimation, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Trailer Mass Estimation Using System Model-Based and Machine Learning Approaches, 2020, IEEE Transactions on Vehicular Technology
  • Distance-based formation control for multi-lane autonomous vehicle platoons, 2021, IET Control Theory and Applications
  • Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning, 2022, IEEE Robotics and Automation Letters

The main venues for their publications include:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Robotics and Automation Letters
  • Sensors
  • IFAC-PapersOnLine

Frequent co-authors collaborating with Fidan are:

  • Amir Khajepour
  • Amin Habibnejad Korayem
  • Frank Imeson
  • Stephen L. Smith
  • Nursefa Zengin

Best Publications

  • Wireless sensor network localization techniques

    Guoqiang Mao;Barış Fidan;Brian D. O. Anderson

  • Wearable Sensors for Remote Health Monitoring.

    Sumit Majumder;Tapas Mondal;M. Jamal Deen

  • Adaptive control tutorial

    Petros A. Ioannou;Baris Fidan

  • Rigid graph control architectures for autonomous formations

    B. Anderson;Changbin Yu;B. Fidan;J. Hendrickx

  • Optimality analysis of sensor-target localization geometries

    Adrian N. Bishop;Barış Fidan;Brian D. O. Anderson;Kutluyıl Doğançay

  • Path loss exponent estimation for wireless sensor network localization

    Guoqiang Mao;Brian D. O. Anderson;Barış Fidan

  • Flight Dynamics and Control of Air-Breathing Hypersonic Vehicles: Review and New Directions

    Baris Fidan;Maj Mirmirani;Petros Ioannou

  • Circumnavigation Using Distance Measurements Under Slow Drift

    I. Shames;S. Dasgupta;B. Fidan;B. D. O. Anderson

  • Localization Algorithms and Strategies for Wireless Sensor Networks

    Guoqiang Mao;Baris Fidan

  • UAV Formation Control: Theory and Application

    Brian D. O. Anderson;Baris Fidan;Changbin Yu;Dirk Van Der Walle

  • Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

    Guoqiang Mao;Baris Fidan

  • Three and higher dimensional autonomous formations: Rigidity, persistence and structural persistence

    Changbin Yu;Julien M. Hendrickx;Barış Fidan;Brian D. O. Anderson

  • Distributed Cohesive Motion Control of Flight Vehicle Formations

    Ismail Bayezit;B. Fidan

  • Control of Minimally Persistent Formations in the Plane

    Changbin Yu;Brian D. O. Anderson;Soura Dasgupta;Bariş Fidan

  • Backstepping control of linear time-varying systems with known and unknown parameters

    Youping Zhang;B. Fidan;P.A. Ioannou

  • Bearing-Only Localization using Geometrically Constrained Optimization

    A.N. Bishop;B.D.O. Anderson;B. Fidan;P.N. Pathirana

  • Coordination and control of multi-agent dynamic systems: models and approaches

    Veysel Gazi;Bariş Fidan

  • On frame and orientation localization for relative sensing networks

    G. Piova;I. Shames;B. Fidan;F. Bullo

  • Backstepping-based adaptive control of a quadrotor UAV with guaranteed tracking performance

    N. Koksal;H. An;B. Fidan

  • Exploiting geometry for improved hybrid AOA/TDOA-based localization

    Adrian N. Bishop;Barış Fidan;Kutluyıl Doğançay;Brian D. O. Anderson

  • Single-View Distance-Estimation-Based Formation Control of Robotic Swarms

    B. Fidan;V. Gazi;Shaohao Zhai;Na Cen

Frequent Co-Authors

Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Changbin Yu
Changbin Yu Australian National University
Soura Dasgupta
Soura Dasgupta University of Iowa
Guoqiang Mao
Guoqiang Mao Xidian University
Ian R. Petersen
Ian R. Petersen Australian National University
Anupam Madhukar
Anupam Madhukar University of Southern California
Hyo-Sung Ahn
Hyo-Sung Ahn Gwangju Institute of Science and Technology
Paolo Falcone
Paolo Falcone Chalmers University of Technology
Shreyas Sundaram
Shreyas Sundaram Purdue University West Lafayette
Henrik Sandberg
Henrik Sandberg Royal Institute of Technology

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

For those studying Electronics and Electrical Engineering in the USA, expanding skills through complementary fields can boost career prospects. For instance, a bachelor of project management is highly valuable for engineers looking to lead complex technical projects and teams efficiently.

Many professionals pursue further education while working. Accelerated online degree programs cater to busy schedules, enabling faster completion without compromising quality. This flexibility is ideal for engineers seeking growth without pausing their career.

To enhance instructional skills within technical roles, a master's in training and development online offers expertise in designing effective employee training programs. This pathway benefits engineers interested in leadership and knowledge transfer roles.

Additionally, competency based masters provide a tailored learning approach focused on mastering specific skills rather than time spent in class. This model suits engineers aiming to directly apply new competencies to their careers with a more personalized pace.

Best Scientists Citing Baris Fidan

Trending Scientists