Research & Innovation

We don’t just teach systems.
We build them.

From embedded sensors to full-stack dashboards, our students design, prototype, and ship real engineering projects โ€” see what’s in progress right now.

35+

Active & completed projects

8

Research focus areas

2026

Latest cohort year

Advancing engineering knowledge through interdisciplinary research, technological innovation, and industry-driven solutions that address local and global challenges. The Department of Electronic and Computer Engineering fosters a vibrant research ecosystem where faculty, students, and collaborators work together to develop intelligent systems, sustainable technologies, and next-generation engineering solutions that address emerging challenges in industry, healthcare, agriculture, energy, and digital transformation while contributing to national development and global technological progress.

The Department of Electronic and Computer Engineering advances multidisciplinary research across eight strategic themes, integrating electronics, computing, intelligent systems, and sustainable technologies to address emerging engineering challenges. Our research ecosystem promotes innovation through collaboration among faculty, students, industry, and research partners, translating scientific discovery into practical solutions with local and global impact.

Our research encompasses Embedded Systems & Internet of Things (IoT), Artificial Intelligence & Intelligent Systems, Cybersecurity & Network Engineering, Communication Systems & Signal Processing, Robotics, Automation & Control Systems, Cloud, Edge & Distributed Computing, Power Systems & Smart Grids, and Smart Energy Systems & Renewable Technologies. Across these domains, we explore intelligent automation, secure digital infrastructure, next-generation communication technologies, renewable energy integration, advanced computing platforms, and resilient engineering systems.

These research themes are supported by a wide range of focus areas, including embedded intelligence, computer vision, machine learning, digital signal processing, wireless communications, industrial automation, control engineering, cloud computing, edge AI, cybersecurity, smart grids, power electronics, renewable energy systems, and sustainable engineering technologies. Together, they empower our researchers and students to develop innovative, scalable, and impactful solutions that contribute to industrial advancement, economic development, and sustainable communities.

The Department of Electronic and Computer Engineering is supported by a diverse network of modern research laboratories and innovation facilities that provide an enabling environment for scientific discovery, technological advancement, and interdisciplinary collaboration. These laboratories support research in embedded systems, artificial intelligence, robotics, communication systems, cybersecurity, power electronics, renewable energy, and intelligent computing, while providing students and researchers with access to advanced equipment, simulation tools, and prototyping technologies. In collaboration with the College of Engineering and Technology (COETEC), industry partners, and research institutions, our laboratories foster innovation through hands-on experimentation, product development, and applied research that addresses real-world engineering challenges and contributes to sustainable industrial and societal development.

Research Labs & Facilities
Power Electronics Research Lab
Renewable energy ยท Smart grids ยท Automation
Embedded Systems & Digital Design Lab
IoT ยท FPGA ยท Digital hardware design
Innovation Prototyping Centre (iPIC)
Simulation ยท Rapid prototyping ยท CAD/CAM
Samsung AI & Coding Innovation Campus
AI ยท Data science ยท Software engineering
Drone Research Group
Autonomous systems ยท Robotics ยท Geospatial

Project/Research Submission Form
i.e Fedley Sikolia | ENE212-0183/2030
Briefly describe your proposed research project. Include the problem statement, objectives, proposed methodology, expected deliverables, and the significance of the study. This abstract will be used during project evaluation.
Provide a publicly accessible link to your project repository or supporting documentation. Accepted links include GitHub, GitLab, Bitbucket, Google Drive, OneDrive, or other online repositories containing your source code, proposal, documentation, or project files. Ensure the link is accessible to reviewers.

Whether you’re a researcher, industry partner, government agency, or funding organization, we welcome collaborations that advance scientific discovery, accelerate technological innovation, and create engineering solutions with lasting societal impact.