Research Labs
Research Labs - Computer Science and Applied AI
The Computer Science department operates several cutting-edge research and teaching labs that reinforce its commitment to innovation, experiential learning, and industry-relevant scholarship..
The department has established three forward-looking research and teaching labs that strengthen its commitment to innovation, hands-on learning, and industry-aligned scholarship. The Machine Intelligence & Advanced Analytics Lab empowers students and faculty to explore advanced machine learning, deep learning, and data-driven technologies addressing real-world challenges across sectors. The Internet of Things & Embedded Systems Innovation Lab provides a creative environment for designing and testing connected devices, smart systems, and embedded solutions that bridge hardware and software. The Smart Learning Technologies & AI Education Lab advances research on AI-enhanced learning, adaptive platforms, and intelligent tutoring systems aimed at transforming educational experiences. Together, these labs create a comprehensive ecosystem that supports discovery, collaboration, and experiential learning in emerging areas of computing.
This lab serves as a hub for exploring advanced computational intelligence, bringing together work in machine learning, deep learning, data analytics, and intelligent decision-making systems. Students and faculty investigate real-world problems through model development, algorithm design, and experimentation with state-of-the-art tools across areas such as natural language processing, computer vision, and predictive analytics. The lab supports both foundational research and applied projects that address challenges in domains such as healthcare, business, finance, and cybersecurity. Its mission is to cultivate the next generation of innovators who can design reliable, impactful, and ethically aligned AI systems.