- EAMCET/ECET/ICET CODE: VMEG
CSE AIML ENGINEERING
Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning)
The Research & Development (R&D) activities of the Department of Computer Science and Engineering (AI & ML) are committed to fostering a strong culture of innovation, , and technological excellence among faculty members and students. The department focuses on research areas such as Artificial Intelligence, Machine Learning, Data Science, Computer Vision, Natural Language Processing, and Cybersecurity and business analytics , aligning its initiatives with emerging global trends and national priorities in digital transformation and intelligent systems. Faculty members actively contribute through high-quality publications in reputed journals and conferences, funded research projects, consultancy assignments, patent filings, and collaborations with premier academic institutions and industries. Interdisciplinary research integrating AI & ML with domains like healthcare, agriculture, smart cities, and Industry 4.0 is encouraged to address real-world challenges and societal needs. Students are integral to the research ecosystem and are motivated to participate in hackathons, innovation challenges, coding competitions, conferences, and R&D-oriented internships, fostering research-driven learning and practical problem-solving skills. The department provides advanced laboratories equipped with modern computing infrastructure and specialized software tools to support experimentation and intelligent model development. Through workshops, seminars, expert lectures, and dedicated mentorship, the department nurtures creativity, critical thinking, and technological leadership, empowering faculty and students to develop transformative solutions and contribute meaningfully to academic excellence, industry advancement, and societal progress.
The department’s research activities are further strengthened by JNTUH-recognized Research Supervisor Dr. M. A. Jabbar, Professor and Head of the Department, CSE (AI & ML), who actively guides research scholars and promotes a strong culture of innovation, quality publications, and collaborative research. In addition, Dr. R. Karthikeyan, Professor in the department, serves as a recognized Research Supervisor at Annamalai University, contributing significantly to research supervision and academic development. Together, their leadership and mentorship foster a vibrant research environment that encourages scholarly contributions, interdisciplinary collaboration, and technological advancement.
The Department of Computer Science and Engineering (AI & ML) is supported by a strong team of highly qualified and research-oriented faculty members committed to academic excellence and innovation. The department has a total of 28 faculty members, of which 5 hold doctoral degrees (Ph.D.), contributing significantly to research, publications, and advanced knowledge dissemination. The doctorate-qualified faculty maintain an impressive average H-index of 12, reflecting consistent research productivity, scholarly impact, and citation strength in reputed journals and conferences. The highest H-index among the faculty is 32, demonstrating outstanding achievement in high-impact research and global academic visibility. Notably, Dr. M. A. Jabbar has been recognized among the World’s Top 2% of Scientists by Stanford University for five consecutive years since 2021, highlighting his exceptional research contributions and the department’s strong research standing at both national and international levels. Such accomplishments reflect the department’s commitment to fostering a vibrant research culture, encouraging innovation, and promoting high-quality scholarly output among faculty and students.
The Department of Computer Science and Engineering (AI & ML) actively promotes a strong culture of research, innovation, and intellectual property development. Faculty members and researchers have contributed significantly through the filing and publication of utility and design patents in emerging areas such as Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things (IoT), and Natural Language Processing. These efforts demonstrate the department’s commitment to transforming innovative ideas into practical, real-world solutions. By encouraging patent-oriented research, prototype development, and technology-driven projects among faculty and students, the department strengthens its innovation ecosystem while fostering creativity, entrepreneurship, and technological advancement that benefits both industry and society.
The Department of Computer Science and Engineering (AI & ML) at Vardhaman College of Engineering demonstrates strong research capability through funded projects and consultancy activities in emerging technologies. The department has received support from agencies such as All India Council for Technical Education (AICTE) and Department of Science and Technology (DST) in areas including Artificial Intelligence, Machine Learning, Cybersecurity, and IoT. It has also organized AICTE-sponsored ATAL Faculty Development Programs (FDPs) to enhance faculty expertise. These initiatives strengthen industry–academia collaboration, promote innovation, and reflect the department’s commitment to impactful research and societal development.
List of Projects
| S.No | PI Name | Co-PI Names | Project Title | Funding Agency | Amount (Lakhs) |
|---|---|---|---|---|---|
| 1 | Dr. JVR Ravindra | Dr. Krishna Chaithanya Janapati, Dr. M A Jabbar, Ms. C Padmini | STI based Entrepreneurship Training Programmes in Online on Women Entrepreneurship Development Programme (WEDP), Technology based Entrepreneurship Development Programme (TEDP) and Faculty Development Programme (FDP) | DST Division: Innovation and Entrepreneurship Division | 3.60 |
| 2 | Dr. R. Kathikeyan | Dr. M. A. Jabbar | Two Week Advanced Faculty Development Program on Evolving Integration of AI and High-Performance Computing: Scope and Future Directions | ATAL FDP by AICTE | 6.00 |
| 3 | Dr. R. Kathikeyan | Dr. M. A. Jabbar | One Week Faculty Development Program on Internet of Drones | ATAL FDP by AICTE | 3.50 |
The Department actively engages with industry partners to provide consultancy services in the areas of Artificial Intelligence solutions, Machine Learning model development, data analytics, IoT-based systems, automation, and software engineering. These collaborations strengthen industry–academia partnerships, conducting workshops, and promote applied research, innovation, and real-world problem solving.
List of Consultancy WorksÂ
| S.No | PI Name | Co-PI Names | Project Title | Funding Agency | Amount (Lakhs) |
|---|---|---|---|---|---|
| 1 | Dr. M. A. Jabbar | – | Automated Document Classification and Retrieval System for Departments Using Deep Learning | Dsquare Tech Labs (Hyd) Private Limited, Hyderabad, Telangana | 3.90 |
| 2 | Dr. M. A. Jabbar | – | Development of Control System Modules using AI & ML algorithms for real-time applications | Powertronics | 4.80 |