Computer Science and Engineering - 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.

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-AI&ML 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-AIML 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.

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:

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:

The department has active research groups in:

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:

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:

→ Career support is provided 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:

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

HOD Profile

AIML HOD

Dr. K. DURGA PRASAD

Professor & HOD
Department of CSE - AI & ML

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.NO NAME JNTUH ID QUALIFICATION DESIGNATION
1 Dr. K DURGA PRASAD 65150432-220648 Ph.D Professor & HOD
2 Dr. K. VENKATA SUBBAIAH 43150402-162415 Ph.D Professor
3 M.K. Praveen 5846-150505-192522 M.Tech Professor
4 K. RAVI KISHORE 5495-220706-159017 Ph.D Associate Professor
5 N. MAMATHA 6803-241207-160320 M.Tech Associate Professor
6 M. 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 M. NAGA VENKATA SUBRAMANYAM SAMI 9814-210705-153433 M.Tech Assistant Professor
10 M. NAGARAJU NELAKANTI 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 7593-220629-151627 M.Tech Assistant Professor
15 P. VARUN TEJ 3545-220617-215114 M.Tech Assistant Professor
16 Mrs. K. JYOTHI 0708-160311-052726 M.Tech Assistant Professor
17 A. MOUNIKA - M.Tech Assistant Professor

Labs

AI & ML Lab
Data Science Lab
Cloud Computing Lab
IoT Lab
Programming Lab
Research Lab

Course Structure and Syllabus

S.No Regulation Download
1 R22 CSE(AIML) COURSE STRUCTURE & SYLLABUS 📥 Download
2 R25 CSE(AIML) COURSE STRUCTURE & SYLLABUS 📥 Download
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