PhD, AFHEA
Lecturer
- About
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- Email Address
- ali.rohan@abdn.ac.uk
- Office Address
- School/Department
- School of Engineering
Biography
Dr Ali Rohan is a Lecturer specialising in Robotics, Artificial Intelligence (AI), and Computer Vision, with a focus on developing intelligent robotic systems capable of operating autonomously in complex and unstructured environments. His work spans aerial, surface, and underwater robotic platforms, with particular emphasis on perception, sensor fusion, and learning-based approaches for robust navigation and decision-making.
His research addresses fundamental challenges in autonomy where sensing is unreliable or degraded, such as underwater, disaster, and low-visibility environments. A central theme of his work is understanding how sensor limitations, particularly visual degradation, affect machine perception, depth estimation, and SLAM, and developing AI-driven solutions that enable robots to operate reliably despite these constraints. His research contributes to autonomous technologies relevant to net-zero transitions, offshore inspection, environmental monitoring, and operations in hard-to-access environments.
Dr Rohan holds a PhD in Electrical, Electronics, and Control Engineering from Kunsan National University, South Korea, where his doctoral research focused on AI and computer vision for autonomous aerial systems, including multi-modal perception for surveillance, search, and rescue.
He has held research and academic positions in both the UK and South Korea, contributing to projects in autonomous systems, industrial AI, condition monitoring, predictive maintenance, and sustainability-driven applications. His broader expertise includes machine learning, signal and image processing, intelligent automation, and the integration of AI into real-world robotic systems.
Qualifications
- PhD Electrical, Electronics, and Control Engineering2020 - Kunsan National University, South Korea
- BSc (Hons) Electrical Engineering2012 - The University of Faisalabad, Pakistan
External Memberships
Associate Fellow of the Higher Education Academy (AFHEA)
IEEE
- Research
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Research Areas
Accepting PhDs
I am currently accepting PhDs in Artificial Intelligence, Engineering, Biomedical Sciences, Computing Science.
Please get in touch if you would like to discuss your research ideas further.

Artificial Intelligence
Accepting PhDs
Engineering
Accepting PhDsBiomedical Sciences
Accepting PhDs
Computing Science
Accepting PhDsResearch Specialisms
- Mechatronics and Robotics
- Artificial Intelligence
- Computer Vision
- Control Systems
- Machine Learning
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
- Publications
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Holistic Fault Detection and Diagnosis System in Imbalanced, Scarce, Multi-Domain (ISMD) Data Setting for Component-Level Prognostics and Health Management (PHM)
MathematicsContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.3390/math10122031
Rotate Vector (RV) Reducer Fault Detection and Diagnosis System: Towards Component Level Prognostics and Health Management (PHM)
SensorsContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.3390/s20236845
Heterogeneous Parallelization for Object Detection and Tracking in UAVs
IEEE AccessContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/ACCESS.2020.2977120
Human Pose Estimation-Based Real-Time Gait Analysis Using Convolutional Neural Network
IEEE AccessContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/ACCESS.2020.3030086
Advanced Drone Battery Charging System
Journal of Electrical Engineering and TechnologyContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s42835-019-00119-8
- [ONLINE] View publication in Scopus
Autonomous Moving Target-Tracking for a UAV Quadcopter Based on Fuzzy-PI
IEEE AccessContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/ACCESS.2019.2906345
Convolutional Neural Network-Based Real-Time Object Detection and Tracking for Parrot AR Drone 2
IEEE AccessContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/ACCESS.2019.2919332
Fuzzy Logic-Based Robust and Autonomous Safe Landing for UAV Quadcopter
Arabian Journal for Science and EngineeringContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s13369-018-3330-z
- [ONLINE] View publication in Scopus
RLC fault detection based on image processing and artificial neural network
International Journal of Fuzzy Logic and Intelligent SystemsContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.5391/IJFIS.2019.19.2.78
- [ONLINE] View publication in Scopus
Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm
Applied System InnovationContributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.3390/asi1040044
- [ONLINE] http://www.mdpi.com/2571-5577/1/4/44