Research
Research in the Faculty of Engineering is driven by real-world challenges and shaped through strong collaboration between our departments, research laboratories, and industry partners. Our academic staff and students contribute to applied and fundamental research that advances digital technologies, intelligent systems, sustainable energy, advanced manufacturing, resilient infrastructure, and next-generation healthcare solutions. We actively promote interdisciplinary projects that connect computing with engineering practice, such as AI-enabled energy systems, smart manufacturing, biomedical data analytics, and smart-city applications, while also supporting discipline-focused research that strengthens core engineering expertise. The core research areas for each department withing the Faculty of Engineering are as follows;
1. Computer Engineering
- Artificial Intelligence & Machine Learning (supervised/unsupervised/deep learning).
- Data Science, Big Data Analytics & Data Engineering.
- Computer Vision & Image/Video Understanding.
- Natural Language Processing & Conversational AI.
- Cybersecurity, Privacy & Digital Forensics.
- Software Engineering (software architecture, DevOps, testing, quality assurance).
- Cloud Computing, Distributed Systems & Edge Computing.
- Internet of Things (IoT) Platforms & Smart Applications.
- Human–Computer Interaction (HCI), AR/VR & Interactive Systems.
- Intelligent Decision Support Systems & Optimisation.
2. Electrical and Electronics Engineering
- Power Systems, Smart Grids & Power Quality
- Renewable Energy Systems (solar/wind), microgrids & energy storage
- Power Electronics & Electric Drives
- Control Systems, Automation & Industrial Instrumentation
- Robotics, Mechatronic Design & Autonomous Systems
- Embedded Systems, Microcontrollers & Real-Time Systems
- Sensors, Actuators & Measurement/Instrumentation
- Signal Processing & Intelligent Diagnostics
- Communication Systems & Wireless Networks
3. Biomedical Engineering
- Biomedical Signal Processing (ECG/EEG/EMG) & physiological monitoring
- Medical Imaging & Image Analysis (AI-assisted Diagnostics)
- Biomaterials & Tissue Engineering
- Biomechanics, Rehabilitation Engineering & Assistive Technologies
- Clinical Engineering, Medical Devices & Safety/Standards
- Bioinformatics, Computational Biology & Omics Data Analytics
- Biosensors, Lab-on-a-Chip & Point-of-Care Technologies
- Healthcare AI, Decision Support & Digital Health Systems
- Human Physiology Modeling & Personalized Medicine Technologie
4. Mechanical Engineering
- Thermo-fluid Sciences (heat transfer, CFD, turbulence, multiphase flows)
- Energy Systems & Sustainability (efficiency, CHP, renewable integration)
- Advanced Manufacturing & CAD/CAM (additive manufacturing, machining)
- Materials Engineering & Failure Analysis (fatigue, corrosion, composites)
- Mechatronics/Mechanisms, Dynamics & Vibrations
- Industrial Engineering & Operations Research (optimization, scheduling, logistics)
- Quality Engineering, Lean Systems & Six Sigma Applications
- Petroleum & Natural Gas Engineering (reservoir engineering, drilling, production)
- Flow Assurance, Pipeline Engineering & Process Safety
- Maintenance Engineering, Reliability & Asset Management
5. Civil Engineering
- Structural Engineering & Earthquake/Seismic Design
- Geotechnical Engineering & Soil–Structure Interaction
- Transportation Engineering & Pavement/Materials
- Construction Engineering & Project Management (BIM, cost/time/risk)
- Water Resources Engineering & Hydrology (floods, watershed modeling)
- Environmental Engineering (water/wastewater treatment, air quality)
- Sustainable & Green Infrastructure (LCA, circular economy in construction)
- Coastal/Marine Engineering & Climate Adaptation (as applicable)
- Smart Cities & Infrastructure Monitoring (sensors, SHM, digital twins)