The Department of Computer Science and Engineering (Artificial Intelligence) at RMK College of Engineering and Technology is well-equipped with seven specialized laboratories, each designed to provide hands-on learning and support research and innovation. These include:
The Research Laboratory serves as a hub for both faculty and students to carry out advanced research, innovative developments, and academic projects. The various laboratories in the CSE (AI) department facilitate hands-on training and practical sessions for a wide range of courses offered across different semesters.
HP Z1 G9 Tower Workstation, Intel Core i9-14900, 32GB RAM, NVIDIA GeForce RTX 4060 8GB Graphics Card, 256GB SSD, 1TB SATA HDD, Free DOS, HP P24 G5 Monitor.
HP Z1 G9 Tower Workstation, Intel Core i9-14900, 32GB RAM, NVIDIA GeForce RTX 4060 8GB Graphics Card, 256GB SSD, 1TB SATA HDD, Free DOS, HP P24 G5 Monitor.
HP Pro TWR 280 G9-C, Intel Core i7-12700 CPU, 16 GB RAM, 512 GB SSD.
HP Pro Tower 280 G9-C, Intel Core i7-12400 CPU, 16 GB RAM, 256 GB SSD.
The Project Laboratory provides a conducive environment for students to carry out innovative, research-oriented, and industry-relevant projects in emerging areas of Artificial Intelligence and Data Analytics. The laboratory is equipped with the necessary computing facilities, software tools, and technical resources to support project development in domains such as Machine Learning, Deep Learning, Data Science, Natural Language Processing, Generative AI, and other Applied AI applications.
A total of 19 projects were carried out by Batch 2020–24, 25 projects by Batch 2021–25, and 35 projects by Batch 2022–26.
The steady increase in the number of projects demonstrates the effective utilization of the Project Laboratory facilities and the growing student interest in advanced and interdisciplinary technology domains.
The Research Laboratory of the department provides a supportive ecosystem for promoting research, innovation, publication activities, and higher studies among faculty members and students. The laboratory is equipped with advanced computing facilities, research software tools, high-speed internet connectivity, and access to journals and digital resources that facilitate quality research in emerging areas of technology.
The research facilities encourage faculty and students to undertake innovative research work leading to publications in peer-reviewed journals, conference proceedings, and book chapters. In addition, the laboratory environment motivates students and faculty members to pursue doctoral research and contribute to knowledge creation in their respective domains.
During the assessment years, the department has shown consistent research contributions through quality publications and active involvement in doctoral research activities. A total of 14, 16, and 15 peer-reviewed journal papers were published during CAYm1, CAYm2, and CAYm3 respectively.
Similarly, 29, 9, and 9 peer-reviewed conference papers and 9, 6, and 2 books/book chapters were published during the respective years.
The department also encourages higher education and research progression among students. During the assessment period, students were enrolled in Ph.D. programmes, and successful Ph.D. graduations were also recorded, demonstrating the effectiveness of the research laboratory facilities and the department's commitment towards research excellence.
The Artificial Intelligence Center of Excellence (AI CoE) is a specialized facility established to promote excellence in the areas of Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and emerging intelligent technologies. The AI CoE serves as a platform for fostering innovation, research, skill development, and industry-oriented learning among students and faculty members.
The center provides advanced computing resources, software tools, technical guidance, and hands-on training to support research activities, real-time project development, certification programmes, workshops, and applications in AI. It also facilitates collaboration with industries, research organizations, and experts to bridge the gap between academic learning and industry requirements.
Through continuous training, mentoring, and innovative practices, the AI CoE enhances students' technical competency, problem-solving ability, research aptitude, and employability skills, thereby contributing to the overall academic and professional growth of the institution.
The department has consistently encouraged students to participate in Cognizant hackathon-based hiring initiatives to enhance their technical competency, teamwork, innovation, and industry readiness.
| Academic Year | Student Teams | Internal Faculty Guides | Cognizant Mentors |
|---|---|---|---|
| 2023–2024 | 14 | 14 | 16 |
| 2024–2025 | 11 | 11 | 20 |
| 2025–2026 | 14 | 14 | 12 |
| Batch | CTS Campus Recruitment |
|---|---|
| 2020–2024 | 25 Students |
| 2021–2025 | 34 Students |
| 2022–2026 | 54 Students |
| 2023–2027 | 51 Students |
The ambience is good for academic activities and teaching-learning processes. Some of the salient features of the good ambience are mentioned below.