CSE- Artificial Intelligence & Machine Learning

About CSE AI&ML Department

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.

About CSE AI&ML Department

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.

Vision

To become a nationally recognized hub for AI/ML education and research, driving technological advancements for societal benefit. 

Mission

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.

Overview of the CSE Department

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.

Academic Excellence and Curriculum

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:

  • Artificial Intelligence, Machine Learning and Natural Language Processing
  • Cloud Computing & Internet of Things (IoT)
  • Big Data & Blockchain Technologies
  • Software Engineering & Full-Stack Development

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.

Infrastructure and Learning Facilities

The department boasts state-of-the-art infrastructure, providing students with access to cutting-edge technology and hands-on learning opportunities. Key facilities include:

  • Advanced Computer Labs with high-end computing systems and latest software.
  • AI & Machine Learning Lab, Cloud Computing & IoT Lab for research and practical learning.
  • Smart Classrooms with digital learning tools.
  • A well-stocked Library with thousands of books, research journals, and digital resources to support student learning and research.

Faculty and Research Excellence

The CSE-AIML faculty comprises highly qualified and experienced professionals dedicated to providing quality education and mentoring. Faculty members actively participate in:

  • Research and Publications, with over 70 research papers published in reputed international journals and conferences.
  • Faculty Development Programs (FDPs), workshops, and industry certifications to stay updated with emerging technologies.
  • Guiding students in research-driven projects to solve real-world problems using advanced computing solutions.

The department has active research groups in:

  • Artificial Intelligence & Machine Learning
  • Cybersecurity & Blockchain
  • Data Science & Big Data Analytics
  • Cloud Computing & IoT

Industry Collaboration and Internships

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:

  • Hackathons and coding competitions with corporate sponsorship.
  • Guest lectures and technical workshops by industry experts.
  • Live projects with IT companies, enhancing practical skills and workplace readiness.

Placement and Career Opportunities

The CSE-AIML Department has a stellar placement record, with over 75% of eligible students placed in top companies. Major recruiters include:

  • Infosys, TCS, Wipro, Capgemini, Cognizant, Amazon, Accenture, and IBM.
  • Career support through mock interviews, resume-building workshops, and aptitude training sessions.

Holistic Development and Student Activities

The department encourages all-round development by promoting participation in:

  • Technical fests, coding competitions, and hackathons.
  • National Service Scheme (NSS) activities, fostering social responsibility.
  • Cultural events, sports competitions, and leadership programs.

The goal is to produce well-rounded professionals who not only excel in technology but also demonstrate ethical leadership and teamwork.

PEO’s, PO’s and PSO’s

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.

HOD Profile

Dr. Durga Prasad Kavadi

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

Department Faculty

S NONAMEJNTUH IDQUALIFICATIONDESIGNATION
1Dr K DURGA PRASAD 65150403-220648Ph.DProfessor & HOD
2Dr.K VENKATA SUBBAIAH43150402-162415Ph.DProfessor
3Mr.K Praveen5846-150505-192522M.TechProfessor
4K RAVI KISHORE 5495-220706-153017Ph.DAssociate Professor
5N MAMATHA6803-241207-160320M.TechAssociate Professor
6Mr.SRINIVAS GUDIKANDULA9851-210705-132935M.TechAssistant Professor
7Mrs.DAYYALA MAMATHA2368-220706-154807M.TechAssistant Professor
8Mrs.HIMA VARSHA CHILUVERU1625-210326-152916M.TechAssistant Professor
9Mr.NAGA VENKATA SUBRAMANYAM SAMI9814-210705-153433M.TechAssistant Professor
10Mr.NAGARAJU NEELAKANTA0886-200310-200049M.TechAssistant Professor
11Mrs.NEELAM USHA RANI 2522-220707-124417M.TechAssistant Professor
12Mr.TIRUPATHI CHOKKAPU1189-210705-150036M.TechAssistant Professor
13Mr.PRAVEEN KUMAR NAKKA2118-220708-063357M.TechAssistant Professor
14N PRASHANTH KUMAR7593-220629-151827 M.TechAssistant Professor
15P VARUN TEJ3545-230617-215114M.TechAssistant Professor
16Mrs. K JYOTHI 0708-160311-052726M.TechAssistant Professor
17A MOUNIKA  M.TechAssistant Professor

Labs

Course Structure

R18

S.No Name Academic Year Download
1 B.Tech CSE – AIML Syllabus B.Tech CSE – AIML Syllabus  Download 

R22

S.No Name Academic Year Download
1 B.Tech CSE (AIML) Course Structure Syllabus B.Tech CSE (AIML) Course Structure Syllabus  Download 
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