Editor Profile
Dr. Muhammad Umer Khan, Ph.D.
Associate Professor
Present
Atilim University
Ankara
Turkey
Dr. Muhammad Umer Khan graduated with a degree in computer science from International Islamic University in 2004. He then pursued Ph.D. in Electrical Engineering in 2011 from Pakistan Institute of Engineering and Applied Sciences with specialisation in robotics and control. From 2011-2017, he served as an Assistant Professor at Department of Mechatronics Engineering, Air University. Since 2018, he has been with the Mechatronics Engineering Department, Atilim University. His research interests include Robotics, Machine Learning, Agriculture Robots, Robust Control, Linear Matrix Inequalities, Vision-based Control, and Optimal Control.
- Area of Expertise in Research
- · Co-operative control of Mobile Robots
- · Industrial Robotics
- · Artificial Intelligence
- · Machine Learning
- · Deep Learning
- · Robot Vision
- · Cyber-Physical Systems
- · Image and Video Processing
- · Simultaneous Localization and Mapping (SLAM)
- · Path Planning
- · Visual Servoing
- · Amphibots
- · Mobile Robotics
- Areas of Interest
- · Modeling and Simulation
- · Computer Architecture and Organization
- · Digital Control Systems
- · Computer Vision
- · Digital Image Processing
- · Digital Signal Processing
- · Algorithm Design and Analysis
- · Feedback Control Systems
- · Microcontroller and Assembly Language Programming
- · Numerical Methods
- · Signals and Systems
- B. Ozel, M. S. Alam, and M. U. Khan, Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning, MDPI Information, 15, 538, Sep 2024, https://doi.org/10.3390/info15090538
- Z. D. Daşkın, M. S. Alam, and M. U. Khan, Ensemble transfer learning using MaizeSet: A Dataset for Weed and Maize Crop Recognition at Different Growth Stages, Crop Protection, Volume 184, 106849, July 2024, https://doi.org/10.1016/j.cropro.2024.106849
- Qassab, M. U. Khan, and B. Irfanoglu, Autonomous landing of a quadrotor on a moving platform using Motion Capture System, Springer Discover Applied Sciences, 6, 304, June 2024, https://doi.org/10.1007/s42452-024-05986-z.
- K. O. Altınuç, M. U. Khan, and J. Iqbal, Avoiding contingent incidents by quadrotors due to one or two propellers failure, PLoS ONE, 18, 3, e0282055, March 2023, https://doi.org/10.1371/journal.pone.0282055
- Y. A. Kadhim, M. U. Khan, and A. Mishra, Deep learning-based computer-aided diagnosis (CAD): applications for medical image datasets, Sensors, 22, 8999, November 2022. https://doi.org/10.3390/s22228999
- M. S. Alam, M. Alam, M. Tufail, M. U. Khan, A. Gunes, B. Salah, F E Nasir, W. Saleem and M. T. Khan, TobSet: A new tobacco crop and weeds image dataset and its utilization for vision based spraying by agricultural robots, Applied Sciences, 12, 1308, January 2022. https://doi.org/10.3390/app12031308
- M. U. Khan and M. A. H. Hasan, Hybrid EEG-fNIRS BCI fusion using Multi-resolution Singular Value Decomposition (MSVD), Frontiers in Human Neuroscience, 14, 599802, December 2020. https://doi.org/10.3389/fnhum.2020.599802
- M. I. I. Abdi, M. U. Khan, A. Güneş and D. Mishra, Escaping Local Minima in Path Planning Using a Robust Bacterial Foraging Algorithm, Applied Sciences, 10, 7905, November 2020. https://doi.org/10.3390/app10217905
- M. A. H. Hasan, M. U. Khan and D. Mishra, A computationally efficient method for hybrid EEG-fNIRS BCI based on Pearson correlation, Bio-Med Research International, vol. 2020, Article ID. 1838140, August 2020. https://doi.org/10.1155/2020/1838140
- R. A. Khan, N. Naseer, N. K. Qureshi, F. M. Noori, H. Nazeer and M. U. Khan, fNIRS-based Neurorobotic Interface for Gait Rehabilitation, Journal of Neuro Engineering and Rehabilitation, vol. 15, no. 7, 2018. https://doi.org/10.1186/s12984-018-0346-2
- R. U. Amin, L. Aijun, M. U. Khan and S. Shamsherband, An Adaptive Trajectory Tracking Control of Four Rotor Hover Vehicle using Extended normalized Radial Basis Function Network, Elsevier Mechanical Systems and Signal Processing, vol. 83, pp. 53-74, 2017. https://doi.org/10.1016/j.ymssp.2016.05.043
- M. U. Khan, S. Li, Q. Wang and Z. Shao, Distributed Multi-robot Formation and Tracking Control in Cluttered Environment, ACM Transaction on Autonomous and Adaptive Systems, vol. 11, no. 2, Article 12, May 2016, https://doi.org/10.1145/2910584
- M. U. Khan, S. Li, Q. Wang and Z. Shao, CPS Oriented Control Design for Networked Surveillance Robots with Multiple Physical Constraints, IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 35, no. 5, pp. 778-791, 2016. https://doi.org/10.1109/tcad.2016.2524653
- M. U. Khan, S. Li, Q. Wang and Z. Shao, Formation Control and Tracking for Co-operative Robots with Non-holonomic Constraints, Springer Journal of Intelligent and Robotic Systems, vol. 82, Issue 1, pp. 163-174, 2016, https://doi.org/10.1007/s10846-015-0287-y
- S. N. Arshad, M. U. Khan, K. Mazhar and S. M. U. Hashmi, Guaranteed cost control of uncertain discrete time systems subjected to actuator saturation via Homogenous Polynomial Lyapunov function, ScientiaIranica, vol. 23, no. 3, pp. 1301-1309, 2015. https://doi.org/10.24200/sci.2016.3898
- Ahmed, M. U. Khan, M. Rehan and N. Iqbal, Two-controller antiwindup design for enlarging domain of stability of actuator constrained state-delay systems, Asian Journal of Control, vol. 16, no. 1, pp. 1-12, January 2014, https://doi.org/10.1002/asjc.692
- Jan, M. U. Khan and N. Iqbal, Vision based isolated translations and rotations estimations for inverted robot approaching a target, Industrial Robot: An International Journal, vol. 39, no. 5, pp. 494-499, 2012. https://doi.org/10.1108/01439911211249788
- M. U. Khan, I. Jan and N. Iqbal, Robustness analysis of uncalibrated eyein-hand visual servo system in the presence of parametric uncertainty, Industrial Robot: An International Journal, vol. 39, no. 2, pp. 154-161, 2012. https://doi.org/10.1108/01439911211201618
- M. U. Khan, I. Jan, J. Dai and N. Iqbal, Uncalibrated eye-in-hand Visual Servoing: an LMI approach, Industrial Robot: An International Journal, vol. 38, no. 2, pp. 130-138, 2011. https://doi.org/10.1108/01439911111106345
- Jan, M. U. Khan and N. Iqbal, Visual landing of helicopter by divide and conquer rule, IEICE Electronic Express, vol. 8, pp. 1-7, 2011. https://doi.org/10.1587/elex.8.1542
- U. Çelebi, M. U. Khan, M. A. Demirhan, M. H. GolMohammadzadeh, Autonomous Self-parking robot using A-star in VREP, Veri Bilimi, vol. 4, no. 3, pp. 89-95, December 2021.
- H. Park, A. ÖZTÜRK, H. Park, M. U. Khan, Utilization of Robotics for Solar Panel Cleaning and Maintenance, Konya Journal of Engineering Sciences, vol. 7, no. 4, pp. 768-775, 2019. https://doi.org/10.36306/konjes.654942
- M. U. Khan, Mobile Robot Navigation using Reinforcement Learning in Unknown Environments, Balkan Journal of Electrical and Computer Engineering, vol. 7, no. 3, pp. 235-244, 2019. https://doi.org/10.17694/bajece.532746
- M. S. Alam, M. U. Rafique and M. U. Khan, Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization, International Journal of Computer Science and Electronics Engineering, vol. 3, no. 3, pp. 253-257, 2015.
- M. Z. Malik, A. Eizad and M. U. Khan, Path Planning Algorithms for Mobile Robots: A Comprehensive Comparative Analysis, LAP LAMBERT Academic Publishing, 2014.
- M. U. Khan, I. Jan, J. Dai and N. Iqbal, control of robot manipulator using automatic loop shaping, Australian Journal of Basic and Applied Sciences, vol. 4, no. 7, pp. 2022-2038, 2010. EID: 2-s2.0-78649381180
- M. U. Khan, N. Iqbal and M. A. Kamran, Image-based Visual Servo Control of PA-10 manipulator, Mehran Uni. Res. Journal of Science & Technology, vol. 27, no. 1, pp. 25-36, 2008.
- Z. D. Daşkın, M. U. Khan, B. Irfanoglu, M. S. Alam, Strawberries Maturity Level Detection Using Convolutional Neural Network (CNN) and Ensemble Method. In J. C. Bansal & M. S. Uddin (Eds.). Computer Vision and Machine Learning in Agriculture, vol. 3, pp. 131-145, 2023, Springer. https://doi.org/10.1007/978-981-99-3754-7_10
- A. H. Khan, S. Li, X. Zhou, Y. Li, M. U. Khan, X. Luo and H. Wang, Neural & Bio-inspired Processing and Robot Control, Frontiers in Neurorobotics, 2018. https://doi.org/10.3389/978-2-88945-697-0