The Department of CSE -Artificial Intelligence and Machine Learning at DRK Institute of Science and Technology is a distinguished centre of learning, innovation, and research. Established in 2020, the department has consistently grown in stature and capability, producing competent professionals who contribute to the rapidly evolving field of computing and technology. With a strong foundation in both theoretical and applied computing, the department is committed to academic excellence, cutting-edge research, and industry-oriented learning.
The Department of CSE -Artificial Intelligence and Machine Learning at DRK Institute of Science and Technology is a distinguished centre of learning, innovation, and research. Established in 2020, the department has consistently grown in stature and capability, producing competent professionals who contribute to the rapidly evolving field of computing and technology. With a strong foundation in both theoretical and applied computing, the department is committed to academic excellence, cutting-edge research, and industry-oriented learning.
To become a nationally recognized hub for AI/ML education and research, driving technological advancements for societal benefit.
To provide students with a strong foundation in artificial intelligence and machine learning through hands-on learning and research. To encourage innovation in intelligent systems that solve complex problems in diverse domains. To nurture ethical professionals with the ability to use AI responsibly for global betterment.
The Department of CSE -Artificial Intelligence and Machine Learning at DRK Institute of Science and Technology is a leading centre for technical education, research, and innovation. Established in 2020 with an initial intake of 60 students, the department has now expanded to 120 students, reflecting its commitment to excellence in academics, industry collaboration, and research-driven education.
The department aims to bridge the gap between industry and academia, ensuring that graduates are career-ready and equipped with the latest technological skills. Through its comprehensive curriculum, experienced faculty, and strong industry partnerships, the department continues to nurture top-tier engineers and researchers.
The CSE Department offers a rigorous and updated curriculum aligned with AICTE and JNTUH guidelines. It integrates core computing concepts with emerging technologies, ensuring that students are industry-ready upon graduation. The curriculum covers:
A best practice in the department is the weekly tests, which ensure continuous assessment, concept retention, and improved academic performance. Additionally, students are encouraged to develop final-year projects based on research papers, fostering innovation and deeper engagement in emerging fields.
The department boasts state-of-the-art infrastructure, providing students with access to cutting-edge technology and hands-on learning opportunities. Key facilities include:
The CSE-AIML faculty comprises highly qualified and experienced professionals dedicated to providing quality education and mentoring. Faculty members actively participate in:
The department has active research groups in:
The department has strong industry tie-ups and collaborates with leading organizations to provide students with internship and placement opportunities. Students have the opportunity to intern at prestigious institutions like IIT Guwahati, gaining hands-on exposure to real-world industry challenges and research projects.
Other key industry collaborations include:
The CSE-AIML Department has a stellar placement record, with over 75% of eligible students placed in top companies. Major recruiters include:
The department encourages all-round development by promoting participation in:
The goal is to produce well-rounded professionals who not only excel in technology but also demonstrate ethical leadership and teamwork.
Computer Science and Engineering Graduates will be able to
PO1. Engineering knowledge: Apply the knowledge of basic sciences and fundamental engineering concepts in solving engineering problems.
PO2. Problem analysis: Identify and define engineering problems, conduct experiments and investigate to analyze and interpret data to arrive at substantial conclusions.
PO3. Design/development of solutions: Propose an appropriate solution for engineering problems complying with functional constraints such as economic, environmental, societal, ethical, safety and sustainability.
PO4. Conduct investigations of complex problems: Perform investigations, design and conduct experiments, analyze and interpret the results to provide valid conclusions.
PO5. Modern tool usage: Select or create and apply appropriate techniques and IT tools for the design & analysis of the systems.
PO6. The engineer and society: Apply to reason informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7. Environment and sustainability: Demonstrate professional skills and contextual reasoning to assess environmental or societal issues for sustainable development.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multi-disciplinary situations.
PO10. Communication: Communicate effectively among engineering community, being able to comprehend and write effectively reports, presentation and give / receive clears instructions.
PO11. Project management and finance: Demonstrate and apply engineering & management principles in their own / team projects in multidisciplinary environment.
PO12. Life-long learning: Recognize the need for, and have the ability to engage in independent and lifelong learning.
PSO1: Foundation of mathematical concepts: To apply mathematical methodologies to crack problem using appropriate mathematical analysis, data structure and efficient algorithms.
PSO2: Foundation of computer system: An ability to design and develop hardware and software in emerging technology environments towards System programming.
PSO3: Foundations of Software development: Enable to grasp the software development lifecycle and methodologies of software systems. Associate with practical proficiency in the broad area of programming concepts and provide new ideas and innovations towards research.
The Program Educational Objectives define future roles for which we are preparing our students by studying four years of undergraduate engineering program. The major objectives for the Department are:
PEO-1: Provide graduates with both fundamental and advanced knowledge of computer science and engineering that prepares them for excellence, leadership roles along diverse career paths, and integrate ethical behavior.
PEO-2: Provide graduates to design and implement solutions for rapidly changing computing problems and information system environments.
PEO-3: Provide graduates for life-long learning to adapt to innovation and change, and be successful in their professional and research work.
Professor & HOD Department of CSE-AIML
Years of Experience: 20 Years
JNTUH Unique Id: 65150403-220648
AICTE ID: 1-509694337
Areas of Specialization: Machine Learning, Deep Learning and NLP
Programming Languages: C, C++, JAVA, Python
PhD: CSE
Joining Date: 20-12-2024
Nature of Association: Regular
Subject Taught: Machine Learning, Deep Learning, Web Technologies, JAVA, Computer Networks, OS & DBMS, SPM
S NO | NAME | JNTUH ID | QUALIFICATION | DESIGNATION |
1 | Dr K DURGA PRASAD | 65150403-220648 | Ph.D | Professor & HOD |
2 | Dr.K VENKATA SUBBAIAH | 43150402-162415 | Ph.D | Professor |
3 | Mr.K Praveen | 5846-150505-192522 | M.Tech | Professor |
4 | K RAVI KISHORE | 5495-220706-153017 | Ph.D | Associate Professor |
5 | N MAMATHA | 6803-241207-160320 | M.Tech | Associate Professor |
6 | Mr.SRINIVAS GUDIKANDULA | 9851-210705-132935 | M.Tech | Assistant Professor |
7 | Mrs.DAYYALA MAMATHA | 2368-220706-154807 | M.Tech | Assistant Professor |
8 | Mrs.HIMA VARSHA CHILUVERU | 1625-210326-152916 | M.Tech | Assistant Professor |
9 | Mr.NAGA VENKATA SUBRAMANYAM SAMI | 9814-210705-153433 | M.Tech | Assistant Professor |
10 | Mr.NAGARAJU NEELAKANTA | 0886-200310-200049 | M.Tech | Assistant Professor |
11 | Mrs.NEELAM USHA RANI | 2522-220707-124417 | M.Tech | Assistant Professor |
12 | Mr.TIRUPATHI CHOKKAPU | 1189-210705-150036 | M.Tech | Assistant Professor |
13 | Mr.PRAVEEN KUMAR NAKKA | 2118-220708-063357 | M.Tech | Assistant Professor |
14 | N PRASHANTH KUMAR | 7593-220629-151827 | M.Tech | Assistant Professor |
15 | P VARUN TEJ | 3545-230617-215114 | M.Tech | Assistant Professor |
16 | Mrs. K JYOTHI | 0708-160311-052726 | M.Tech | Assistant Professor |
17 | A MOUNIKA | M.Tech | Assistant Professor |