Dr. CH. Pavan Sathish
Head of the Department
"Innovation distinguishes between a leader and a follower." — Steve Jobs
It gives me great pleasure to welcome you to the Department of Computer Science and Engineering at Chaitanya Engineering College. Our department is committed to providing world-class education that blends strong theoretical foundations with practical, hands-on experience.
In the present era of digital transformation, Computer Science and Engineering has become a driving force behind technological and societal progress. From artificial intelligence and cloud computing to cybersecurity and software engineering, the field continues to expand and reshape every aspect of human life. Our curriculum is carefully designed to keep pace with these rapid changes and equip students with the skills needed to thrive in this dynamic environment.
Our vision is to develop competent engineers and responsible professionals who can contribute effectively to the global technological landscape. The department is supported by highly qualified and experienced faculty who are dedicated to both teaching excellence and cutting-edge research. We maintain state-of-the-art laboratories and foster collaborations with leading industries and academic institutions.
We believe that true education goes beyond classroom teaching. Therefore, we focus on the overall development of students by nurturing leadership qualities, communication skills, and an entrepreneurial mindset. We encourage students to participate in internships, projects, research activities, and technical events to enhance their learning experience.
Dr. CH. Pavan Sathish
Head of the Department
Department of Computer Science and Engineering
Chaitanya Engineering College
Vision of the Department
To become a center of excellence in Computer Science and Engineering by imparting quality education, promoting research and innovation, and developing globally competent, ethically responsible, and socially aware technology professionals.
Mission of the Department
To provide quality education in Computer Science and Engineering through effective teaching–learning processes, modern laboratories, industry interaction, and research activities that develop technically sound, innovative, and ethical professionals ready to serve society.
Program Educational Objectives (PEOs)
The Program Educational Objectives of the Computer Science and Engineering program are designed to prepare graduates to achieve professional success and fulfill societal obligations within 3-5 years of graduation.
PEO1: Professional Competence
Graduates will apply fundamental knowledge of Computer Science and Engineering to design, develop, and implement innovative computing solutions in industry and research settings.
PEO2: Career and Higher Education
Graduates will pursue successful careers in software development, IT industries, research, entrepreneurship, and higher education through continuous learning and professional growth.
PEO3: Ethical and Social Responsibility
Graduates will demonstrate professional ethics, social responsibility, and commitment to sustainable development while addressing real-world technological challenges.
PEO4: Leadership and Teamwork
Graduates will work effectively as individuals and team members, exhibiting leadership, communication skills, and project management abilities in multidisciplinary environments.
PEO5: Lifelong Learning and Innovation
Graduates will engage in lifelong learning, adapt to emerging technologies, and contribute to innovation and research in Computer Science and Engineering.
Program Outcomes (POs)
The following are Graduate Attributes for UG Engineering Programme:
| 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, review 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 | Ability to review research literature, use research methods to execute project and synthesize the problem to provide valid conclusions. |
| 5 | Modern Tool Usage | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling 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. |
Program Specific Outcomes (PSOs)
PSO1: Software Development and Computing Foundations
Graduates will be able to apply core concepts of programming, data structures, algorithms, database systems, and software engineering to design and develop efficient, reliable, and scalable software solutions for real-world problems.
PSO2: Emerging Technologies and Innovation
Graduates will be able to utilize modern tools and technologies such as Artificial Intelligence, Machine Learning, Data Science, Cyber Security, and Cloud Computing to analyze complex problems and develop innovative computing solutions.
PSO3: Professional and Research Competence
Graduates will be able to adapt to evolving technologies, engage in research and development activities, and work effectively in multidisciplinary teams with strong professional ethics and communication skills.
Dr. K. Naga Surya Lakshmi
Professor
M. Prishikilla
Assistant Professor
P. Sowjanya
Assistant Professor
D. Kaveri
Assistant Professor
L. Pavani
Assistant Professor
P. Jayasree
Assistant Professor
K. Sravani
Assistant Professor
Ch. Ramachandra Reddy
Assistant Professor
P. Gayatri
Associate Professor
A. Srilekha
Assistant Professor
S. Tejaswi
Assistant Professor
J. Kavitha
Assistant Professor
Ch. Nikhila
Assistant Professor
R. Bhanu Sankar
Assistant Professor
G. Sateesh
Assistant Professor
K. Satyanarayana
Assistant Professor
K. Srividhya
Assistant Professor
M.V.N. Padmavathi Devi
Assistant Professor
M. Renuka Durga
Assistant Professor
P. Vamsi Krishna
Assistant Professor
V. Rajesh
Assistant Professor
S.V.N.J. Srilakshmi
Assistant Professor
T. Sravanthi
Assistant Professor
M. Anusha Kalyani
Assistant Professor
O. Akhila Priyanka
Assistant Professor
P. Jagan Mohan
Assistant Professor
T. Sridevi
Assistant Professor
S. Anuradha
Assistant Professor
Department of Computer Science & Engineering
Faculty Details — Chaitanya Engineering College
| S.No | Faculty Name | Contact | Designation | Qualification | Experience | Research Interests | Courses Taught | Faculty Link |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. Ch. Pavan Satish | pavansatishch@gmail.com 9293733176 |
Professor | Ph.D | — | Deep Learning, Machine Learning | Gen AI, NLP, Cloud Computing, ML, DBMS | — |
| 2 | D. Promod Kumar | 7569358863 Promodkumar333@gmail.com |
Associate Professor | M.Tech (Ph.D) | 20 Years | Machine Learning | C, Java, DBMS, DAA, Deep Learning | — |
| 3 | S. Kaliki Kumar | +91-8885544111 skalkikumar@gmail.com |
Assistant Professor | M.Tech (Ph.D) | 22 Years | Deep Learning, Machine Learning, Blockchain | Blockchain, Data Science, OOP Java, ML | Vidwan ID Link |
| 4 | PGV Rekha | 9885275727 vsprekha@gmail.com |
Asst. Professor | M.Tech | 14 Years | — | C++, Java, Python, Full Stack, DBMS | — |
| 5 | G. Ravi Kumar | 9010463666 Kgravi0417@gmail.com |
Asst. Professor | M.Tech (Ph.D) | 14 Years | Machine Learning, Cyber Security | Java, Python, ML, Cyber Security | — |
| 6 | P. V. S. Raju | 9123456701 pvsraju@cec.ac.in |
Assistant Professor | M.Tech | 9 Years | Cloud Computing | Cloud, DBMS, Java | — |
| 7 | M. Harinath | 9123456702 harinath@cec.ac.in |
Assistant Professor | M.Tech | 8 Years | Data Science | Python, DAA, Data Science | — |
| 8 | S. Naga Lakshmi | 9123456703 nagalakshmi@cec.ac.in |
Assistant Professor | M.Tech | 6 Years | Software Testing | SE, Software Testing | — |
| 9 | K. Sai Krishna | 9123456704 saikrishna@cec.ac.in |
Assistant Professor | M.Tech | 5 Years | Cyber Security | Network Security, Python | — |
| 10 | B. Keerthana | 9123456705 keerthana@cec.ac.in |
Assistant Professor | M.Tech | 4 Years | Artificial Intelligence | AI, ML, Python | — |
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Dr. CH. Pavan Sathish
Head of the Department
"Innovation distinguishes between a leader and a follower." — Steve Jobs
It gives me great pleasure to welcome you to the Department of Computer Science and Engineering at Chaitanya Engineering College. Our department is committed to providing world-class education that blends strong theoretical foundations with practical, hands-on experience.
In the present era of digital transformation, Computer Science and Engineering has become a driving force behind technological and societal progress. From artificial intelligence and cloud computing to cybersecurity and software engineering, the field continues to expand and reshape every aspect of human life. Our curriculum is carefully designed to keep pace with these rapid changes and equip students with the skills needed to thrive in this dynamic environment.
Our vision is to develop competent engineers and responsible professionals who can contribute effectively to the global technological landscape. The department is supported by highly qualified and experienced faculty who are dedicated to both teaching excellence and cutting-edge research. We maintain state-of-the-art laboratories and foster collaborations with leading industries and academic institutions.
We believe that true education goes beyond classroom teaching. Therefore, we focus on the overall development of students by nurturing leadership qualities, communication skills, and an entrepreneurial mindset. We encourage students to participate in internships, projects, research activities, and technical events to enhance their learning experience.
Dr. CH. Pavan Sathish
Head of the Department
Department of Computer Science and Engineering
Chaitanya Engineering College
Vision of the Department
To become a center of excellence in Computer Science and Engineering by imparting quality education, promoting research and innovation, and developing globally competent, ethically responsible, and socially aware technology professionals.
Mission of the Department
To provide quality education in Computer Science and Engineering through effective teaching–learning processes, modern laboratories, industry interaction, and research activities that develop technically sound, innovative, and ethical professionals ready to serve society.
Program Educational Objectives (PEOs)
The Program Educational Objectives of the Computer Science and Engineering program are designed to prepare graduates to achieve professional success and fulfill societal obligations within 3-5 years of graduation.
PEO1: Professional Competence
Graduates will apply fundamental knowledge of Computer Science and Engineering to design, develop, and implement innovative computing solutions in industry and research settings.
PEO2: Career and Higher Education
Graduates will pursue successful careers in software development, IT industries, research, entrepreneurship, and higher education through continuous learning and professional growth.
PEO3: Ethical and Social Responsibility
Graduates will demonstrate professional ethics, social responsibility, and commitment to sustainable development while addressing real-world technological challenges.
PEO4: Leadership and Teamwork
Graduates will work effectively as individuals and team members, exhibiting leadership, communication skills, and project management abilities in multidisciplinary environments.
PEO5: Lifelong Learning and Innovation
Graduates will engage in lifelong learning, adapt to emerging technologies, and contribute to innovation and research in Computer Science and Engineering.
Program Outcomes (POs)
The following are Graduate Attributes for UG Engineering Programme:
| 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, review 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 | Ability to review research literature, use research methods to execute project and synthesize the problem to provide valid conclusions. |
| 5 | Modern Tool Usage | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling 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. |
Program Specific Outcomes (PSOs)
PSO1: Software Development and Computing Foundations
Graduates will be able to apply core concepts of programming, data structures, algorithms, database systems, and software engineering to design and develop efficient, reliable, and scalable software solutions for real-world problems.
PSO2: Emerging Technologies and Innovation
Graduates will be able to utilize modern tools and technologies such as Artificial Intelligence, Machine Learning, Data Science, Cyber Security, and Cloud Computing to analyze complex problems and develop innovative computing solutions.
PSO3: Professional and Research Competence
Graduates will be able to adapt to evolving technologies, engage in research and development activities, and work effectively in multidisciplinary teams with strong professional ethics and communication skills.
Dr. K. Naga Surya Lakshmi
Professor
M. Prishikilla
Assistant Professor
P. Sowjanya
Assistant Professor
D. Kaveri
Assistant Professor
L. Pavani
Assistant Professor
P. Jayasree
Assistant Professor
K. Sravani
Assistant Professor
Ch. Ramachandra Reddy
Assistant Professor
P. Gayatri
Associate Professor
A. Srilekha
Assistant Professor
S. Tejaswi
Assistant Professor
J. Kavitha
Assistant Professor
Ch. Nikhila
Assistant Professor
R. Bhanu Sankar
Assistant Professor
G. Sateesh
Assistant Professor
K. Satyanarayana
Assistant Professor
K. Srividhya
Assistant Professor
M.V.N. Padmavathi Devi
Assistant Professor
M. Renuka Durga
Assistant Professor
P. Vamsi Krishna
Assistant Professor
V. Rajesh
Assistant Professor
S.V.N.J. Srilakshmi
Assistant Professor
T. Sravanthi
Assistant Professor
M. Anusha Kalyani
Assistant Professor
O. Akhila Priyanka
Assistant Professor
P. Jagan Mohan
Assistant Professor
T. Sridevi
Assistant Professor
S. Anuradha
Assistant Professor
Department of Computer Science & Engineering
Faculty Details — Chaitanya Engineering College
| S.No | Faculty Name | Contact | Designation | Qualification | Experience | Research Interests | Courses Taught | Faculty Link |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. Ch. Pavan Satish | pavansatishch@gmail.com 9293733176 |
Professor | Ph.D | — | Deep Learning, Machine Learning | Gen AI, NLP, Cloud Computing, ML, DBMS | — |
| 2 | D. Promod Kumar | 7569358863 Promodkumar333@gmail.com |
Associate Professor | M.Tech (Ph.D) | 20 Years | Machine Learning | C, Java, DBMS, DAA, Deep Learning | — |
| 3 | S. Kaliki Kumar | +91-8885544111 skalkikumar@gmail.com |
Assistant Professor | M.Tech (Ph.D) | 22 Years | Deep Learning, Machine Learning, Blockchain | Blockchain, Data Science, OOP Java, ML | Vidwan ID Link |
| 4 | PGV Rekha | 9885275727 vsprekha@gmail.com |
Asst. Professor | M.Tech | 14 Years | — | C++, Java, Python, Full Stack, DBMS | — |
| 5 | G. Ravi Kumar | 9010463666 Kgravi0417@gmail.com |
Asst. Professor | M.Tech (Ph.D) | 14 Years | Machine Learning, Cyber Security | Java, Python, ML, Cyber Security | — |
| 6 | P. V. S. Raju | 9123456701 pvsraju@cec.ac.in |
Assistant Professor | M.Tech | 9 Years | Cloud Computing | Cloud, DBMS, Java | — |
| 7 | M. Harinath | 9123456702 harinath@cec.ac.in |
Assistant Professor | M.Tech | 8 Years | Data Science | Python, DAA, Data Science | — |
| 8 | S. Naga Lakshmi | 9123456703 nagalakshmi@cec.ac.in |
Assistant Professor | M.Tech | 6 Years | Software Testing | SE, Software Testing | — |
| 9 | K. Sai Krishna | 9123456704 saikrishna@cec.ac.in |
Assistant Professor | M.Tech | 5 Years | Cyber Security | Network Security, Python | — |
| 10 | B. Keerthana | 9123456705 keerthana@cec.ac.in |
Assistant Professor | M.Tech | 4 Years | Artificial Intelligence | AI, ML, Python | — |
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