Dr. K N S Lakshmi
Head of the Department
The Department of Artificial Intelligence was established in 2025. The department aims to provide high-quality education and research opportunities in the field of Artificial Intelligence. The program is designed to equip students with strong foundations in core computing principles, data structures, algorithms, programming, and software development.
The department also encourages research, innovation, participation in technical competitions, workshops, and hackathons to enhance students' analytical and creative thinking skills.
Message: The message of the Artificial Intelligence Department can be understood in two key contexts: In the societal context, the department aims to create a positive social, economic, and environmental impact by equipping graduates with the knowledge and skills needed to solve real-world problems using AI. In the context of higher education and the job market, the department focuses on producing graduates with essential skills and expertise gained during the program.
Dr. K N S Lakshmi
Head of the Department
Department of Artificial Intelligence
Chaitanya Engineering College
Vision of the Department
To make the Artificial Intelligence department as a hub of technological excellence and transform into responsible professionals.
Mission of the Department
- To empower the students with technical knowledge and intellectual capabilities in the field of Artificial Intelligence.
- Promoting industry interface and adequate infrastructure for technical skill development.
- To promote overall development by inculcating ethics, values, and leadership qualities in the learners.
Programme Educational Objectives (PEOs)
At the end of the programme the student shall be able to:
PEO1: Provide computing solutions for complex problems to meet Artificial Intelligence industry demands and societal needs.
PEO2: Produce graduates who are employable in industries/public sector/research organizations or work as an entrepreneur.
PEO3: Outperform in professional career or higher learning by upgrading skills in Artificial Intelligence stream.
Program Outcomes (POs)
| PO# | Graduate Attributes | PO Statements |
|---|---|---|
| 1 | Engineering Knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| 2 | Problem Analysis | Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| 3 | 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. |
| 4 | 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. |
| 5 | 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. |
| 6 | 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. |
| 7 | Environment and Sustainability | Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| 8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| 9 | Individual and Team Work | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| 10 | 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. |
| 11 | 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 multidisciplinary environments. |
| 12 | 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. |
Programme Specific Outcomes (PSOs)
PSO1: Apply the principles of Artificial Intelligence and Intelligent Systems to solve complicated engineering problems in computing.
PSO2: Create algorithms that can model automation systems for the needs of contemporary society, industrial, organizational, and public welfare.
Department of Artificial Intelligence & Machine Learning
Faculty Details — Chaitanya Engineering College
| S.No | Faculty Name | Contact | Designation | Qualification | Experience | Research Interests | Courses Taught | Faculty Link |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. K. N. S. Lakshmi | Mnslakshmi.vvit@gmail.com 9912423676 |
Professor | Ph.D | 18 Years | Deep Learning, Machine Learning, Data Mining | C, Data Structures, ML, Deep Learning, AI, Computer Vision | Vidwan |
| 2 | P. Gayatri | 8367576943 gayatripotnuri119@gmail.com |
Associate Professor | M.Tech (Ph.D) | 11 Years | Machine Learning, Deep Learning | Compiler Design, CN, Java, Big Data, ML | Vidwan |
| 3 | Jayasree Pinajala | +91-9398757839 jayasreep4@gmail.com |
Assistant Professor | B.Tech, M.Tech (Ph.D) | 10 Years | Bio-Informatics, Deep Learning, Network Security | DWDM, OS, CNS, DBMS, Web Technologies | Vidwan |
| 4 | M. Prishikilla | +91-8978253848 mprishikilla@gmail.com |
Assistant Professor | M.Tech | 4 Years | Machine Learning, Deep Learning | C Programming, DBMS, Computer Networks | Vidwan |
| 5 | Jami Kavitha | 9573181604 kavithajami0801@gmail.com |
Assistant Professor | M.Tech | 5 Years | Machine Learning, Big Data | Java, Data Structures, Cloud Computing | Vidwan |
| 6 | K. Tejaswini | 9123406006 tejaswini@cec.ac.in |
Assistant Professor | M.Tech | 4 Years | Data Science | Python, Data Science | — |
| 7 | R. Manoj | 9123406007 manoj@cec.ac.in |
Assistant Professor | M.Tech | 3 Years | Computer Vision | AI, CV | — |
| 8 | S. Harika | 9123406008 harika@cec.ac.in |
Assistant Professor | M.Tech | 3 Years | NLP | Python, NLP | — |
| 9 | P. Sai Kumar | 9123406009 saikumar@cec.ac.in |
Assistant Professor | M.Tech | 2 Years | ML | ML Applications | — |
Dr. K N S Lakshmi
Head of the Department
The Department of Artificial Intelligence was established in 2025. The department aims to provide high-quality education and research opportunities in the field of Artificial Intelligence. The program is designed to equip students with strong foundations in core computing principles, data structures, algorithms, programming, and software development.
The department also encourages research, innovation, participation in technical competitions, workshops, and hackathons to enhance students' analytical and creative thinking skills.
Message: The message of the Artificial Intelligence Department can be understood in two key contexts: In the societal context, the department aims to create a positive social, economic, and environmental impact by equipping graduates with the knowledge and skills needed to solve real-world problems using AI. In the context of higher education and the job market, the department focuses on producing graduates with essential skills and expertise gained during the program.
Dr. K N S Lakshmi
Head of the Department
Department of Artificial Intelligence
Chaitanya Engineering College
Vision of the Department
To make the Artificial Intelligence department as a hub of technological excellence and transform into responsible professionals.
Mission of the Department
- To empower the students with technical knowledge and intellectual capabilities in the field of Artificial Intelligence.
- Promoting industry interface and adequate infrastructure for technical skill development.
- To promote overall development by inculcating ethics, values, and leadership qualities in the learners.
Programme Educational Objectives (PEOs)
At the end of the programme the student shall be able to:
PEO1: Provide computing solutions for complex problems to meet Artificial Intelligence industry demands and societal needs.
PEO2: Produce graduates who are employable in industries/public sector/research organizations or work as an entrepreneur.
PEO3: Outperform in professional career or higher learning by upgrading skills in Artificial Intelligence stream.
Program Outcomes (POs)
| PO# | Graduate Attributes | PO Statements |
|---|---|---|
| 1 | Engineering Knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| 2 | Problem Analysis | Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| 3 | 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. |
| 4 | 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. |
| 5 | 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. |
| 6 | 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. |
| 7 | Environment and Sustainability | Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| 8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| 9 | Individual and Team Work | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| 10 | 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. |
| 11 | 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 multidisciplinary environments. |
| 12 | 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. |
Programme Specific Outcomes (PSOs)
PSO1: Apply the principles of Artificial Intelligence and Intelligent Systems to solve complicated engineering problems in computing.
PSO2: Create algorithms that can model automation systems for the needs of contemporary society, industrial, organizational, and public welfare.
Department of Artificial Intelligence & Machine Learning
Faculty Details — Chaitanya Engineering College
| S.No | Faculty Name | Contact | Designation | Qualification | Experience | Research Interests | Courses Taught | Faculty Link |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. K. N. S. Lakshmi | Mnslakshmi.vvit@gmail.com 9912423676 |
Professor | Ph.D | 18 Years | Deep Learning, Machine Learning, Data Mining | C, Data Structures, ML, Deep Learning, AI, Computer Vision | Vidwan |
| 2 | P. Gayatri | 8367576943 gayatripotnuri119@gmail.com |
Associate Professor | M.Tech (Ph.D) | 11 Years | Machine Learning, Deep Learning | Compiler Design, CN, Java, Big Data, ML | Vidwan |
| 3 | Jayasree Pinajala | +91-9398757839 jayasreep4@gmail.com |
Assistant Professor | B.Tech, M.Tech (Ph.D) | 10 Years | Bio-Informatics, Deep Learning, Network Security | DWDM, OS, CNS, DBMS, Web Technologies | Vidwan |
| 4 | M. Prishikilla | +91-8978253848 mprishikilla@gmail.com |
Assistant Professor | M.Tech | 4 Years | Machine Learning, Deep Learning | C Programming, DBMS, Computer Networks | Vidwan |
| 5 | Jami Kavitha | 9573181604 kavithajami0801@gmail.com |
Assistant Professor | M.Tech | 5 Years | Machine Learning, Big Data | Java, Data Structures, Cloud Computing | Vidwan |
| 6 | K. Tejaswini | 9123406006 tejaswini@cec.ac.in |
Assistant Professor | M.Tech | 4 Years | Data Science | Python, Data Science | — |
| 7 | R. Manoj | 9123406007 manoj@cec.ac.in |
Assistant Professor | M.Tech | 3 Years | Computer Vision | AI, CV | — |
| 8 | S. Harika | 9123406008 harika@cec.ac.in |
Assistant Professor | M.Tech | 3 Years | NLP | Python, NLP | — |
| 9 | P. Sai Kumar | 9123406009 saikumar@cec.ac.in |
Assistant Professor | M.Tech | 2 Years | ML | ML Applications | — |
