CSE-AIML(CSM)
- CSE-AIML(CSM)
Artificial Intelligence and Machine Learning (Allied with CSE)

Dr.B.Sunil Srinivas
M.Tech, Ph.D. form JNTUA
Head of the Department
The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) is headed by Dr. B. Sunil Srinivas, a highly qualified academician with a distinguished background. He holds an M.Tech degree from JNTUH SIT and was awarded a Ph.D. from JNTUA, Ananthapuramu in 2018.
About the Department
With over 18 years of experience in the field of Artificial Intelligence (AI) and Machine Learning (ML), Dr. Srinivas has made significant contributions both academically and professionally. Among his notable achievements is the successful execution of a TEQIP-III funded project under the Collaborative Research Scheme of JNTUH.
The CSE (AI & ML) program was established in 2020 with an initial intake of 60 students. Due to increasing demand and the growing importance of AI and ML, the intake was increased to 120 in 2021, 180 in 2022, and further to 210 in 2024. The program is meticulously designed to equip students with cutting-edge knowledge and practical skills essential for careers in AI and ML.
The department is supported by a team of well-qualified, experienced, and research-oriented faculty members, including several doctoral degree holders with strong academic and research credentials, who are dedicated to delivering quality education and mentoring students in innovative technologies and real-world applications. The department is also equipped with state-of-the-art laboratories that provide hands-on training in AI, ML, and related domains, fostering experiential learning and practical skill development.
AI and ML technologies are rapidly transforming sectors such as healthcare, finance, transportation, manufacturing, and beyond. As industries continue to embrace AI-driven solutions, the demand for skilled professionals in this domain remains high, making the CSE (AI & ML) program a strategic choice for aspiring engineers.
- Vision
- MISSION
- Program Outcomes
- PSO's
- PSO's
For a globalized technological society, the department aims to produce the ethically responsible technocrats, with state-of-art quality education who are competent to conceive, design and deploy intelligent machines in various application domains and to offer self-reliant services in research, academic arenas of science and technology.
- Delivering high-quality education seamlessly intertwined with unwavering ethical values.
- Cultivating and enhancing technical competence through courses and programs empowering the students with latest state-of-art technologies in Artificial Intelligence.
- Creating a dynamic learning environment with active involvement of scholarly faculty and industry professionals.
- Nurturing students with skills and techniques in Artificial Intelligence and Machine Learning to prepare them for industry, research, and academic roles.
A student will be able to
- Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and Sustain ability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multi-disciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
- Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
On completion of the programme after four years of study, the student will be able to achieve the following specific outcomes in the field of Computer Science and Engineering (Artificial Intelligence and Machine learning).
PSO 1: To be able to design and develop Artificial Intelligence and Machine Learning algorithms and intelligent systems.
PSO 2: Storing, processing, analyzing and learning from data for effective decision-making while finding possible optimal solutions to problems.
Preparation: Develop professional skills for a successful professional career as an engineer, scientist, technocrat, administrator or an entrepreneur.
Design Proficiency: The graduates will be able to design and develop solutions for real life problems using modern engineering tools.
Multidisciplinary: Design and apply new ideas and technologies as the field evolves, to solve real world problems in related interdisciplinary areas.
Professional Practice: The graduates will leverage their quality education, coupled with a profound grasp of ethical principles, collaborate within teams, communicate proficiently and exercise strong managerial skills in their professional endeavours.
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