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RV Institute of Technology
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NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
NEW Admissions Open for B.Tech, M.Tech, MCA & Diploma (2026) Apply Now
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B.TECH • M.TECH • NBA ACCREDITED

Department of Computer Science & Engineering

Innovating the Future of Computing, Artificial Intelligence & Software Systems • Estd. 2008

About the Department
Current Intake & Highlights
B.Tech Intake: 360
M.Tech Intake: 18
NBA Accredited

Computer Science and Engineering is the bedrock of digital transformation, cloud computing, intelligent robotics, and global automation. The Department of Computer Science and Engineering at RVIT prepares students to architect robust software systems, build artificial intelligence models, and lead enterprise engineering teams.

Established in 2008 with an initial annual intake of 60 seats, the department has grown exponentially to its current approved intake of 360 seats in B.Tech and 18 seats in M.Tech (CSE), supported by 590+ high-end workstations and modern cloud computing labs.

Department Growth Milestones
B.Tech (CSE) Progression
  • 2008: Started with 60 seats
  • 2019: Intake increased to 120 seats
  • 2022: Intake increased to 180 seats
  • 2024: Approved intake expanded to 360 seats
M.Tech (CSE) Progression
  • 2012: Established with 18 seats in Advanced Computer Science
  • Focus: Big Data, Distributed Systems, Neural Networks & Cloud Systems
  • Affiliation: Autonomous & AICTE Approved
State-of-the-Art Labs

590+ computers, Gigabit LAN, specialized AI/ML GPU workstations, and cloud clusters.

Distinguished Faculty

28 dedicated faculty members with 7 Ph.D. scholars leading industry-aligned training.

Career & Placements

Paid internships, CRT training from 2nd year, and top product/service MNC campus drives.

Academic Resources & Student Portals

Direct access to curriculum, previous papers, digital study materials, and career preparation tools for CSE students.

Vision & Mission

Department Vision

"To produce ingenious and socially responsible technologists and scientists in the area of Computer Science and Engineering."

Technical Competence

M1: To train and transform youth into responsible technologists and scientists in the area of Computer Science and Engineering.

Professional Excellence

M2: To motivate them for attaining professional excellence through continuous learning and industry alignment.

Social Responsibility

M3: To inspire them to engage themselves proactively for the betterment of society with strong ethical values.

The graduates of the program will become proficient in the principles and practices of computer science, mathematics and engineering, enabling them to solve real-world computing problems.
PEO 1: Successful career in Computer Science & Engineering contributing both to personal growth as an excellent professional employee and as an entrepreneur.
PEO 2: Upgrading to latest developments in Computer Science & Engineering to enhance knowledge and promote ongoing innovations.
PEO 3: Assimilating effectively in multi-disciplinary teams and emerging as ethical leaders in technical and societal communities.
Apply the knowledge of programming languages, networks, artificial intelligence, and databases for the development of enterprise software solutions.
PSO 1: Identify, analyse, formulate and solve real-time complex computer engineering problems.
PSO 2: Design, implement and deploy quality-based software systems and scalable cloud architectures to meet evolving industry needs.
PO1 - Engineering Knowledge: Apply math, science, and engineering fundamentals.
PO2 - Problem Analysis: Identify, formulate, and analyze complex engineering problems.
PO3 - Design & Development: Design solutions with safety and environmental considerations.
PO4 - Investigations: Use research-based methods to provide valid conclusions.
PO5 - Modern Tool Usage: Create, select, and apply modern IT tools and cloud platforms.
PO6 - Engineer & Society: Assess societal, health, legal, and cultural responsibilities.
PO7 - Environment & Sustainability: Understand societal impact and sustainable solutions.
PO8 - Ethics: Apply ethical principles and professional engineering norms.
PO9 - Team Work: Function effectively as an individual and in multi-disciplinary teams.
PO10 - Communication: Communicate effectively with technical and executive audiences.
PO11 - Project Management: Apply software engineering and financial management principles.
PO12 - Lifelong Learning: Engage in independent lifelong learning in the broadest context.
Knowledge Profile (WK1 - WK9)
WK1 - Natural Sciences: Systematic, theory-based understanding of natural sciences.
WK2 - Mathematics: Conceptually-based mathematics, numerical analysis & statistics.
WK3 - Engineering Fundamentals: Systematic formulation of engineering core concepts.
WK4 - Specialist Knowledge: Advanced computing, algorithms, systems & data architecture.
WK5 - Engineering Design: System architecture, user experience, and resource efficiency.
WK6 - Engineering Practice: Modern programming languages, frameworks, and deployment.
WK7 - Societal Role: Knowledge of engineering roles and critical societal applications.
WK8 - Research Literature: Engagement with high-impact indexed journals and patents.
WK9 - Ethics: Inclusive conduct, integrity, and ethical computing guidelines.
UN Sustainable Development Goals (SDGs)

RVIT CSE curriculum is mapped with UN SDGs to promote sustainable innovation, clean energy systems, smart cities, and ethical computing.

Explore United Nations SDGs
Faculty Profile
S.No. Faculty Name Highest Qualification Designation Experience
1Dr. J Narendra BabuM.Tech and PhDProfessor20 Years
2Dr. B BhavaniM.Tech and PhDProfessor13 Years
3Dr. Vunnava Dinesh BabuM.Tech and PhDAssociate Professor & HOD10 Years
4Dr. G BharathiM.Tech and PhDAssociate Professor14 Years
5Dr. Kurapati Srinivasa RaoM.Tech and PhDAssociate Professor15 Years
6Dr. Rajesh Kumar VermaM.Tech and PhDAssociate Professor20 Years
7Dr. Farheen MohammadMS and PhDAssociate Professor8 Years
8Ms. Anusha BondiliM.TechAssistant Professor9 Years
9Mr. S. JagadeeshM.TechAssistant Professor14 Years
10Mr. Vuyyuru Chaitanya KumarM.TechAssistant Professor7 Years
11Mrs. Reddy SravanthiM.TechAssistant Professor7 Years
12Mr. T.T. Rajeswar RaoM.TechAssistant Professor12 Years
13Mr. N. NareshM.TechAssistant Professor6 Years
14Mr. K Venkata SumanthM.TechAssistant Professor6 Years
15Ms. Mendu AnushaM.TechAssistant Professor8 Years
16Mrs. P. Shanti PriyaM.TechAssistant Professor5 Years
17Mr. Gogineni SreekanthM.TechAssistant Professor7 Years
18Mrs. L. YuvanaM.TechAssistant Professor10 Years
19Mr. Dulla SridharM.TechAssistant Professor12 Years
20Mr. Mani Kumar SongaM.TechAssistant Professor6 Years
21Mrs. Uggam SukanyaM.TechAssistant Professor5 Years
22Mrs. Salini LingineniM.TechAssistant Professor5 Years
23Mrs. Sk. ShakeelaM.TechAssistant Professor5 Years
24Mr. N. Vijay GopalM.TechAssistant Professor10 Years
25Ms. G. JayasreeM.TechAssistant Professor4 Years
26Mr. Shaik Irfan BashaM.TechAssistant Professor2 Years
27Mr. Moulali NoorubhashM.TechAssistant Professor10 Years
28Mr. Ramesh Babu KarriM.TechAssistant Professor10 Years
Teaching Innovations & Best Practices

Modern outcome-based pedagogical approaches implemented to enhance student comprehension, practical skills, and interview readiness.

# Innovative Practice Target Goals Educational Outcomes
1 Project-based Learning Apply theoretical concepts into live applications. Teamwork, practical competence, and lifelong learning.
2 Hands-on Lab Training Reinforce coding techniques alongside theory. Modern tool usage, debugging proficiency.
3 Technical Workshops Self-learning on latest software frameworks. Lifelong learning, full-stack readiness.
4 Smart Digital Classrooms Enhance visualization and knowledge retention. Interactive multimedia learning.
5 Unit Tests & Quizzes Evaluate continuous understanding and concepts. Early gap identification and remediation.
6 Internal Technical Viva Groom for technical coding interviews. Confidence, oral articulation & technical depth.
7 Student Seminars Encourage self-study and public speaking. Professional communication and presentation skills.
8 Content Beyond Syllabus Bridge gaps with fast-paced industry trends. Exposure to Docker, Kubernetes, CI/CD, GenAI.
9 Mini & Major Projects Solve real-world industrial and community challenges. Production-ready prototype development.
10 Continuous Assessment Track weekly progression of concepts. Consistent high academic performance.
11 Industry-aligned Labs Direct corporate problem-statement solving. Seamless campus-to-corporate transition.
12 Junior Developer Track Corporate software certification training. 74+ students certified by NSDC.
Laboratories & Infrastructure
Computing Facilities
  • 590+ Computers with latest Intel Core processors and dedicated graphics
  • 1000 Mbps High-Speed Internet connectivity across dedicated college LAN
  • Licensed software suites (Oracle, Red Hat, MATLAB, Visual Studio, Tableau)
  • 24/7 uninterrupted power backup facility with high-capacity central UPS
Student Support & Ecosystem
  • Regular guest lectures and tech hackathons with global IT leads
  • Dedicated Ideation Lab & MSME Business Incubator on campus
  • Proctoring & mentorship system (1 faculty per 15 students)
  • Paid corporate internships starting from 4th semester
B.Tech Laboratories
  • • Computer Programming Lab
  • • Database Management Systems Lab
  • • Java & OOPs Programming Lab
  • • Data Structures & Algorithms Lab
  • • Operating Systems & Unix Lab
  • • Compiler Design & Automata Lab
  • • Linux & Cloud Network Lab
  • • Data Mining & Analytics Lab
  • • Full Stack Web Technologies Lab
M.Tech Laboratories
  • • Advanced Data Structures Lab
  • • Distributed Cloud & Web Services Lab
  • • Machine Learning & AI Research Hub
  • • High Performance Computing Lab
  • • Software Architecture & Testing Lab
Professional Chapters

Active student membership bodies offering global networking:

CSI ISTE IEEE IETE IE
Departmental Committees

# Name Designation Role in DAC
1 Dr. Vunnava Dinesh Babu Associate Professor & HOD-CSE Chairman
2 Dr. J Narendra Babu Professor Member
3 Dr. B Bhavani Professor Member
4 Dr. G Bharathi Associate Professor Member
5 Dr. K Srinivasa Rao Associate Professor Member
6 Dr. R K Verma Associate Professor Member

# Name Designation Role in PAC
1 Dr. Vunnava Dinesh Babu Associate Professor & HOD-CSE Chairman
2 Mr. V Chaitanya Kumar Assistant Professor Coordinator
3 Dr. J Narendra Babu Professor Member
4 Dr. B Bhavani Professor Member
5 Dr. G Bharathi Associate Professor Member
6 Dr. K Srinivasa Rao Associate Professor Member
7 Dr. R K Verma Associate Professor Member

# Name Designation Role in AIP
1 Dr. Vunnava Dinesh Babu Associate Professor & HOD-CSE Chairman
2 Dr. J Narendra Babu Professor Member
3 Dr. B Bhavani Professor Member
4 Mr. S Jagadeesh Assistant Professor Member

# Name Designation Role
1 Dr. Vunnava Dinesh Babu Associate Professor & HOD Convener
2 Dr. J Narendra Babu Professor Member
3 Dr. B Bhavani Professor Member
4 Dr. G Bharathi Associate Professor Member
5 Dr. K Srinivasa Rao Associate Professor Member
6 Dr. R K Verma Associate Professor Member
7 Dr. Farheen Mohammad Associate Professor Member
8 Mr. V Chaitanya Kumar Assistant Professor Member
Research, Publications & Patents

150+

Research Publications

₹ 2.5 Cr+

Research Project Grants

6+

Patents Filed & Granted
Recent Indexed Publications
"Accurate classification of forest fires in aerial images using ensemble model"
- Vunnava Dinesh Babu, Bulletin of EE & Informatics, 2024
"Three-stage multi-objective feature selection with distributed ensemble machine and deep learning"
- Vunnava Dinesh Babu, Measurement: Sensors, 2023
"Large dataset partitioning using ensemble partition-based clustering"
- Vunnava Dinesh Babu, Indonesian Journal of EECS, 2023
"Leveraging CNN and LSTM for Identifying Citrus Leaf Disorders"
- ICACRS 2023 Proceedings
"An Automated Epilepsy Seizure Detection System (AESD) Using Deep Learning Models"
- ICSSAS 2023 Proceedings
"Dynamic Deep Learning Algorithm (DDLA) for Processing of Complex and Large Datasets"
- ICAIS 2022
"A Hybrid Multimodal Biometric Recognition System based on Fusion of Iris, Face, and Finger Vein Traits"
- ICOSEC 2024
Patents Filed & Granted
Subspace ML for Terrestrial Navigation
Application No. 202441088942 (Filed 2024)
Filed
Automatic Pallet Changer in Warehouse
Application No. 202141042804 (Filed 2021)
Filed
IoT Based Smart Plant Monitoring System
Application No. 202241073517 (Filed 2022)
Filed
Intelligent Healthcare Monitoring Platform
Patent No. 2023456789 (Granted 2023)
Granted
Major Funded Research Projects
MSME Grant ₹ 15.00 Lakhs
Automated Polling Station System

Aadhar-controlled automated voting verification with remote security analytics & audit logging (2022-23).

DST Grant ₹ 21.82 Lakhs
Rural Development STEMM Outreach

Awareness Camp for STEMM technology transfer for students and teachers in rural Andhra Pradesh (2023-24).

Contact Department Head

Dr. Vunnava Dinesh Babu

Associate Professor & Head of Department, CSE

Department of Computer Science & Engineering
RV Institute of Technology, Guntur, AP - 522019

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