World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7336
World Ranking
8020
National Ranking
3448

Electronics and Electrical Engineering

D-Index
43
Citations
7284
World Ranking
3911
National Ranking
1408

Research.com Recognitions

  • 1999 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1994 - Fellow, The World Academy of Sciences
  • 1989 - IEEE Fellow For contributions to the theory and applications of large-scale systems and control system education.

Overview

Mo Jamshidi is affiliated with The University of Texas at San Antonio in the United States. Their work spans multiple fields with a primary focus on engineering and computer science. Their research contributes significantly to several subfields including electrical and electronic engineering, control and systems engineering, aerospace engineering, computer networks and communications, and computer vision and pattern recognition.

The scientist's research topics cover a wide spectrum within these domains. Key topics of study include microgrid control and optimization, frequency control in power systems, robotics and sensor-based localization, robotic path planning algorithms, power system optimization and stability, target tracking and data fusion in sensor networks, and fault detection and control systems.

Mo Jamshidi has a range of recent publications reflecting these interests. Notable papers include:

  • "Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation," 2020, Sensors
  • "A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications," 2021, Energies
  • "Voltage and frequency control in conventional and PV integrated power systems by a particle swarm optimized Ziegler-Nichols based PID controller," 2021, SN Applied Sciences
  • "Multivariable Event-Triggered Generalized Super-Twisting Controller for Safe Navigation of Nonholonomic Mobile Robot," 2020, IEEE Systems Journal
  • "HTC Vive Tracker: Accuracy for Indoor Localization," 2020, IEEE Systems Man and Cybernetics Magazine

Frequent coauthors who have collaborated with Mo Jamshidi include Kambiz Tehrani, Patrick Benavidez, Arabinda Ghosh, Anjan Kumar Ray, and Prasanna Kolar. These collaborations have supported research outputs across interdisciplinary areas.

The scientist has published multiple works in recognized venues. Their most frequent publication venues include the 2022 World Automation Congress (WAC), IEEE Systems Journal, IEEE Systems Man and Cybernetics Magazine, Sensors, and Energies.

They have contributed to book publications from major publishers such as Springer International Publishing and Springer Nature. Examples include the proceedings of the 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence (ICSCCW-2021) and the 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing (ICAFS-2020).

Mo Jamshidi has been recognized with fellowships including the IEEE Fellow, awarded in 1989 for contributions to the theory and applications of large-scale systems and control system education, Fellow of the American Association for the Advancement of Science (AAAS) in 1999, and Fellow of The World Academy of Sciences in 1994.

Best Publications

  • Survey of robust control for rigid robots

    C. Abdallah;D.M. Dawson;P. Dorato;M. Jamshidi

  • The paradoxical success of fuzzy logic

    C. Elkan;H.R. Berenji;B. Chandrasekaran;C.J.S. de Silva

  • Prediction of cloud data center networks loads using stochastic and neural models

    John J. Prevost;KranthiManoj Nagothu;Brian Kelley;Mo Jamshidi

  • System of systems engineering - New challenges for the 21st century

    M. Jamshidi

  • Mobile robot navigation and target tracking system

    Patrick Benavidez;Mo Jamshidi

  • Robust Control Systems with Genetic Algorithms

    Mo Jamshidi;Renato A. Krohling;Leandro dos S. Coelho;Peter J. Fleming

  • A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image

    Tao Song;M.M. Jamshidi;R.R. Lee;Mingxiong Huang

  • Soft computing for autonomous robotic systems

    M.-R. Akbarzadeh-T;K. Kumbla;E. Tunstel;M. Jamshidi

  • Distributed Bees Algorithm for Task Allocation in Swarm of Robots

    A. Jevtic;A. Gutierrez;D. Andina;M. Jamshidi

  • Introduction to System of Systems

    Mo Jamshidi

  • The Future of Systems, Man, and Cybernetics: Application Domains and Research Methods

    K.W. Hipel;M.M. Jamshidi;J.M. Tien;C.C. White

  • Guaranteed-cost design of continuous-time Takagi-Sugeno fuzzy controllers via linear matrix inequalities

    A. Jadbabaie;M. Jamshidi;A. Titli

  • Toward Artificial Emotional Intelligence for Cooperative Social Human–Machine Interaction

    Berat A. Erol;Abhijit Majumdar;Patrick Benavidez;Paul Rad

  • Behavior Hierarchy for Autonomous Mobile Robots: Fuzzy-Behavior Modulation and Evolution

    Edward W. Tunstel;Edward W. Tunstel;Tanya Lippincott;Mo M. Jamshidi

  • Consensus Control for a System of Underwater Swarm Robots

    Matthew A Joordens;Mo Jamshidi

  • Stock market prediction by using artificial neural network

    Yunus Yetis;Halid Kaplan;Mo Jamshidi

  • Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation.

    Prasanna Kolar;Patrick Benavidez;Mo M. Jamshidi

  • Navigation of decentralized autonomous automatic guided vehicles in material handling

    S. Berman;Y. Edan;M. Jamshidi

  • Multisatellite Formation Control for Remote Sensing Applications Using Artificial Potential Field and Adaptive Fuzzy Sliding Mode Control

    Ranjith Ravindranathan Nair;Laxmidhar Behera;Vinod Kumar;Mo Jamshidi

  • Trajectory Tracking by Multiple Agents in Formation With Collision Avoidance and Connectivity Assurance

    Arindam Mondal;Chandreyee Bhowmick;Laxmidhar Behera;Mo Jamshidi

  • Fuzzy logic based collision avoidance for a mobile robot

    Angelo Martinez;Edward W. Tunstel;Mo M. Jamshidi

  • A computational algorithm for large-scale nonlinear time-delay systems

    M. Jamshidi;C. M. Wang

  • Book reviews: Modeling and control of robot manipulators

    Marco De Oliveira;Mo Jamshidi

Frequent Co-Authors

Sos S. Agaian
Sos S. Agaian City University of New York
Laxmidhar Behera
Laxmidhar Behera Indian Institute of Technology Kanpur
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
Roland R. Lee
Roland R. Lee Veterans Health Administration
Mingxiong Huang
Mingxiong Huang University of California, San Diego
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Ben Horan
Ben Horan Deakin University
Homayoun Seraji
Homayoun Seraji California Institute of Technology
Mohsen Shahinpoor
Mohsen Shahinpoor University of Maine

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 Electronics and Electrical Engineering opens numerous career opportunities, including roles well-suited for introverts who thrive in focused, technical environments. For those interested, good paying jobs for introverts highlight positions that value analytical skills and independent work, which align closely with engineering disciplines.

Complementing technical expertise with project management skills can further enhance career prospects. Pursuing an online project management degree accelerated offers a fast track to leadership roles, helping professionals manage complex engineering projects efficiently.

Many universities now offer a project management bachelor degree online, providing flexibility for students balancing education with work or personal commitments. This option makes gaining managerial expertise more accessible without pausing your career.

For working adults seeking to upskill quickly, numerous accelerated online degrees are designed to accommodate busy schedules. These programs empower students to advance their education and career potential in less time, making them an ideal choice for engineering professionals aiming to stay competitive.

Best Scientists Citing Mo Jamshidi

Trending Scientists