About CSE Department
The Department of Computer Science and Engineering (CSE) at DRK Institute of Science and Technology is a leading center for technical education, research, and innovation. Established in 2004 with an initial intake of 60 students, the department has now expanded to 180 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
- Cybersecurity & Ethical Hacking
- 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, Cybersecurity 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 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 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.
Obejectives & Goals
Objectives
- To get an effective utilization of Knowledge, Experience and Skills of faculty members and supporting staff members (besides resources) in the achievement of departmental goals.
- To establish and maintain an satisfactory departmental environment and a pleasing working relationship among all the members of the department that will direct to establish culture of hard work, good governance in leadership and management of the department.
- To develop, expand and establish teaching and research programs for faculty members to uplift the teaching-learning process as per the trends and need of industries.
- To support and increase collaboration and partnerships with industries and other organizations
Long-range Goals
- To produce the world class technocrats with the confidence and ability to compete with global challenges.
- Perfection of teaching learning process with state-of-art technology.
- To overpass the gaps between academics and IT industries.
- To aid high quality Research and Development activities.
- To create the centers of excellence in all major areas of computer science and engineering.
Strategic Strengths
As technology develops in leaps and bounds, the opportunities for expanding the field of computing grow even more rapidly. The Computer Science and Engineering Course gives a good foundation in the fundamentals of computing and an understanding of the underlying engineering principles to make the students in sharpening their ability towards analyzing, designing and implementing complex systems and place themselves in superior heights in the changing state of the IT industries.
- Well qualified and experienced faculty.
- Well equipped and modern laboratories.
- Most of the faculty members presented & published papers at several reputed National, International conferences and journals.
- Excellent teaching learning environment.
- Department is working on outcome base teaching-learning process.
- Department has good number of Placement record.
- Department organizes Soft Skill & Technical Skill development programs for students in coordination with T&P Department.
- Summer Internship in Industries is provided to student by Department.
- Department provides collaborative interaction of students with Industry Experts.
- Department organizes Conferences, workshops and short term courses for knowledge uplift of faculties and students.
Vision
To foster innovation and research in computer science, equipping students with the skills to address global technological challenges.
Mission
To provide high-quality education in computer science and engineering, enabling students to excel in cutting-edge technologies. To instill critical thinking and problem-solving abilities through innovative teaching methodologies and research opportunities. To cultivate ethical professionals who contribute positively to society and the global tech community.
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. K. Kanaka Vardhini
HoD-CSE & Associate Professor
,
M.Tech–NN,
Ph.D– CSE
Department of Computer Science and Engineering.
Years of Experience: 14 Years
JNTUH Unique Id: 5794-180707-111324
Areas of Specialization: Network Security Cryptography, Data Mining
Programming
Languages: JAVA,C
PG Degree: M.Tech–NN
Ph.D: Ph.D– CSE
Joining Date: 05-07-2018
Nature of Association: Regular
Subject Taught: Data mining, Cryptography& Network, Security, JAVA,C, OS, Big data
Papers Published:
- kanaka vardhini, T.sitamahalakshmi,Implementation of intruder detection systems using PSO dimensionality reduction and convolution neural network, Journal of Fundamental & Comparative Research Vol. VIII, No. 1(V) : 2022.
- kanaka vardhini, T.sitamahalakshmi, Implementation of swarm optimized artificial neural network for network intruder detection and attack classification, Indian Journal of Computer Science and Engineering (IJCSE), Vol. 11 No. 2 Mar-Apr 2020.
- KanakaVardhini, T. Sitamahalakshmi , Enhanced Intrusion Detection System Using Data Reduction: An Ant Colony Optimization Approach, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 9 (2017) pp. 1844-1847(Scopus)
- KanakaVardhini, T. Sitamahalakshmi, Classification rule discovery for intrusion detection using artificial bee colony with Correlation based feature selection, Advances in Intelligent System and Computing, March 28-30,2016 springer (Scopus)
- KanakaVardhini, T. Sitamahalakshmi, A Review on Nature-based Swarm Intelligence Optimization Techniques and its Current Research Directions, Vol 9(10),INDJST,Mar2016(Scopus)
- KanakaVardhini, Extract, Transform, and Load Big Data with Apache Hadoop, IFRSA’s International Journal Of Computing ,Vol 5, issue 1, Jan. 2015
- Kanaka Vardhini ,Security & Efficient self generated Key ciphering through ASCII Codes 2nd,International conference on Recent Advances in Engineering and technology (ICRAET) with ISBN 978-81-923541-0-9.
- Kanaka Vardhini, ”Femtocell Technology Implementation ” in International Journal of Engineering Research & Technology (IJERT),Volume 2, Issue 10(Oct-2013)
- Kanaka Vardhini,Three parity authentication for key distributed protocol using implicit quantum cryptography (IJRTE), Issue 10(Oct-2013).
Department Faculty
| S NO | NAME | JNTUH ID | QUALIFICATION | DESIGNATION |
| 1 | Dr. GNANESWARA RAO NITTA | 3113-190831-091134 | Ph.D | Professor & Principal |
| 2 | Dr.KOLLIPARA KANAKA VARDHINI | 5794-180707-111324 | Ph.D | Professor & HOD |
| 3 | Dr P KAVITHA | 4134-240909-152629 | Ph.D | ASSOCIATE PROFESSOR |
| 4 | P SUDHA | 9394-240909-134850 | M.Tech | ASSOCIATE PROFESSOR |
| 5 | Mr.MADDELA BENJIMEN WATSON | 6619-150413-132326 | M.Tech | Assistant Professor |
| 6 | Mr.MADISHETTI PRAVEENKUMAR | 5457-170110-092358 | M.Tech | Assistant Professor |
| 7 | Mrs.NIDAMANURI SOWJANYA | 1746-211216-155839 | M.Tech | Assistant Professor |
| 8 | Mrs.PASIKANTI GEETHANJALI | 1187-200303-154958 | M.Tech | Assistant Professor |
| 9 | Mr.RAMU ANUMULA | 9912-171207-150946 | M.Tech | Assistant Professor |
| 10 | Mrs.SIVA SUNAYANA SIGHAKOLLI | 8107-230414-111343 | M.Tech | Assistant Professor |
| 11 | Mrs.GEDDAM PRASHANTHI | 1842-211217-114224 | M.Tech | Assistant Professor |
| 12 | Mrs.SRI SUDHA | 2406-150415-123536 | M.Tech | Assistant Professor |
| 13 | N JAGANMOHAN | M.Tech | Assistant Professor | |
| 14 | Mr.SANDEEP ANDE | 3889-220629-133703 | M.Tech | Assistant Professor |
| 15 | Mr.I S V MALLADHARA RAO | 8636-150410-094744 | M.Tech | Associate Professor |
| 16 | Mrs.PATHLOTH LAKSHMI VIJAYA | 5954-180202-195624 | M.Tech | Assistant Professor |
| 17 | Mrs.SHRAVYA NALLA | 9214-220707-104533 | M.Tech | Assistant Professor |
| 18 | Mrs. B Saritha | 1921-190219-102258 | M.Tech | Associate Professor |
| 19 | K SAI RAVALI | 3451-220712-151105 | M.Tech | Assistant Professor |
| 20 | CH VENKATA RAJAM | 93150402-165217 | M.Tech | Assistant Professor |
| 21 | Y SINDHURA | M TECH | Assistant Professor | |
| 22 | RADHA DARANGULA | 3143-220701-132329 | M.Tech | Assistant Professor |
| 23 | TANUKU KOTHAPALLI MOUNIKA | 2397-170119-141541 | M.Tech | Assistant Professor |
| 24 | ANUSHA POTHULA | 9270-230413-134238 | M.Tech | Assistant Professor |
| 25 | ASHAJYOTHI BAISA | 2078-170203-172217 | M.Tech | Assistant Professor |
| 26 | CHETHI NAVITHA SRI | 2280-160301-123642 | M.Tech | Assistant Professor |
| 27 | MYAKALA SHYLAJA | 3724-240215-002031 | M.Tech | Assistant Professor |
| 28 | SUDHA BARRY | 6316-240701-164936 | M.Tech | Assistant Professor |
| 29 | KUNTA DEVENDER REDDY | 1810-240701-125638 | M.Tech | Assistant Professor |
| 30 | VEERANJANEYULU CHILLAMCHERLA (CSE) | 6263-240701-115533 | M.Tech | Assistant Professor |
Labs
Course Structure
R15
| S.No | Name | Academic Year | Download |
|---|---|---|---|
| 1 | B.Tech IV-I YEAR CSE SYALLABUS | B.Tech COURSE STRUCTURE (2017-18) | Download |
| 2 | B.Tech IV-II YEAR CSE SYALLABUS | B.Tech COURSE STRUCTURE (2017-18) | Download |
R16
| S.No | Name | Academic Year | Download |
|---|---|---|---|
| 1 | B.Tech.I-II Sem. CSE SYALLABUS | B.Tech COURSE STRUCTURE (2017-18) | Download |
| 2 | B.Tech II YEAR CSE SYALLABUS | B.Tech COURSE STRUCTURE (2017-18) | Download |
| 3 | B.Tech III YEAR CSE SYALLABUS | B.Tech COURSE STRUCTURE (2017-18) | Download |
