Computer Science and Engineering

About CSE Vision & Mission Objectives Facilities Faculty R&D

About Department

Current Intake

M.Tech-18 | B.Tech-360 | Diploma-180

The financial services and IT services and automation of industry will use the Computer Science concepts. The controlling programs architected and developed by Computer Science Engineering experts. It also gives great opportunities for research and development, as everyday consumer need new features to support them in daily life.

The department of Computer Science and Engineering was established in 2008 with an annual intake of 60 and improved to the current intake of 360 in B.Tech and annual intake of 180 in Diploma.

Department of Computer Science and Engineering

AICTE Approved Programs with Focus on Industry-Ready Skills

Program Overview

B.Tech CSE

4-year full time program
360 students intake
Strong focus on programming & core CS
Extensive practical training
Industry certifications support

M.Tech CSE

2-year full time program
18 students intake
Research-oriented approach
Specialized project work
Advanced computing focus

Key Features & Facilities

Infrastructure

Modern computer labs
Digital library access
High-speed internet
Research laboratories

Academic Support

Expert faculty team
Industry workshops
Regular seminars
Mentorship program

Career Development

Placement training
Industry internships
Soft skills development
Technical competitions

Eligibility & Selection Process

B.Tech CSE

10+2 with Physics, Chemistry & Mathematics
Minimum 60% aggregate in PCM
Valid JEE Main/EAMCET rank
Counseling performance

M.Tech CSE

B.E/B.Tech in CSE/IT/ECE
MCA or MSc Computer Science
Selection through PGECET
Merit-based admission

Placements & Career Outcomes

Top Recruiters

Microsoft
Amazon
TCS

Infosys
Wipro
Accenture

Placement Highlights

Consistent placement record
95% PAT registered students placed
Strong industry connections

Career Support

Dedicated placement cell
Mock interviews
Coding practice sessions

Advisory Committee

Dr.Ch.Satyanarayana, Professor, Department of Computer Science and Engineering, JNTUK
Dr.A.damodaram, Professor, Department of Computer Science and Engineering, JNTUH
Dr.K.Soundara Rajan, former Rector, JNTU Anantapur

Vision

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

Mission

M1: To train and transform youth into responsible technologists and scientists in the area of Computer Science and Engineering.
M2: To motivate them for attaining professional excellence.
M3: To inspire them to engage themselves proactively for the betterment of society.

Program Outcomes (POs)

Engineering Graduates will be able to:

1. Engineering knowledge:

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis:

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/development of solutions:

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Conduct investigations of complex problems:

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Modern tool usage:

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

6. The engineer and society:

Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability:

Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics:

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work:

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. Communication:

Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance:

Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long learning:

Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Educational Objectives (PEOs)

The graduates of the program will become proficient in the principles and practices of computer science, mathematics and science, enabling them to solve a wide range of computing related problems.

PEO 1:

To enable the students with innovative applications of engineering knowledge and programming skills to spearhead the progress of society in the information age.

PEO 2:

To mould the students into competent, successful, and practicing engineers in their career and/or in pursuing their higher studies through the spirit of innovation and entrepreneurship.

PEO 3:

To provide exposure to cutting edge technologies, adequate training and opportunities to work individually and as teams on multidisciplinary projects with effective analytical skills.

PEO 4:

To acquire and practice the profession with ethics, integrity and leadership qualities with due consideration to environmental issues in conformance with societal needs.

Program Specific Outcomes (PSOs)

Apply the Knowledge of Programming Languages, Networks and Databases for development of Software Applications.

PSO 1:

Identify, Analyse, Formulate and Solve Real Time Complex Engineering Problems.

PSO 2:

Design, Implement and Deploy a Quality Based Software System to meet the Evolving needs.

Department Facilities

Computing Facilities

590 computers with latest versions of software and hardware
1000 Mbps Internet facility through college LAN
Advanced software tools for technical development
24/7 Power backup facility

Student Support

Expert lectures and guest lectures
Industrial visits and training programs
Student counseling system
Ideathons
Internship from fourth semester onwards with monetary benifits
Regular monitoring of attendance and discipline

Professional Memberships

Active memberships in professional bodies:

CSI ISTE IEEE IETE IE Reckon

Laboratories

B-Tech Laboratories

COMPUTER PROGRAMMING LAB

To write programs in C to solve problems
To implement linear data structures
To implement searching and sorting methods

DATABASE MANAGEMENT SYSTEMS LAB

Database security fundamentals
Design techniques of database security
Secure software design principles

JAVA PROGRAMMING LAB

Object-oriented programming concepts
Java console programming
GUI-based programming

INFORMATION TECHNOLOGY WORKSHOP

HTML programming fundamentals
Paper presentation design skills
MS Office tools implementation

DATA STRUCTURES LAB

Implementation of advanced data structures
Sorting and searching algorithms
Problem-solving using C programming

OPERATING SYSTEMS LAB

Abstract data types implementation
Linear and non-linear data structures
Algorithm analysis and optimization

COMPILER DESIGN LAB

Java programming with IDE tools
Application namespace management
Security system integration

CASE TOOLS & WEB TECHNOLOGIES LAB

Web development technologies
Web services deployment
Framework interoperability

LINUX PROGRAMMING LAB

Shell scripting fundamentals
Linux system utilities implementation
Network application development

DATA WAREHOUSING & MINING LAB

Data mining systems analysis
Mining technologies implementation
Data modeling and analysis

M-Tech Laboratories

ADVANCED DATA STRUCTURES & ALGORITHMS LAB

Design and implementation of basic data structures
Program specification and analysis
Data abstraction principles

WEB SERVICES LAB

Web services and SOA implementation
XML concepts and applications
Testing strategies for SOA-based applications

Faculty Profile

S.No.	Name	University Degree	Designation	Experience (Years)
1	Dr J NARENDRA BABU	M. Tech and PhD	Professor	20
2	Dr B BHAVANI	M. Tech and PhD	Professor	13
3	Dr Vunnava DInesh Babu	M. Tech and PhD	Associate Professor & HOD	10
4	Dr G Bharathi	M. Tech and PhD	Associate Professor	14
5	Dr Kurapati Srinivasa Rao	M. Tech and PhD	Associate Professor	15
6	Dr Rajesh Kumar Verma	M. Tech and PhD	Associate Professor	20
7	Dr Farheen Mohammad	MS and PhD	Associate Professor	8
8	Ms. Anusha Bondili	M.Tech	Assistant Professor	9
9	Mr. S.Jagadeesh	M.Tech	Assistant Professor	14
10	Mr. Vuyyuru Chaitanya Kumar	M.Tech	Assistant Professor	7
11	Mrs. Reddy Sravanthi	M.Tech	Assistant Professor	7
12	Mr.T.T.Rajeswar Rao	M.Tech	Assistant Professor	12
13	Mr.N.Naresh	M.Tech	Assistant Professor	6
14	Mr.K Venkata Sumanth	M.Tech	Assistant Professor	6
15	Ms.MENDU ANUSHA	M.Tech	Assistant Professor	8
16	Mrs.P.Shanti Priya	M.Tech	Assistant Professor	5
17	Mr.Gogineni Sreekanth	M.Tech	Assistant Professor	7
18	Mrs.L.Yuvana	M.Tech	Assistant Professor	10
19	Mr Dulla Sridhar	M.Tech	Assistant Professor	12
20	Mr. Mani Kumar Songa	M.Tech	Assistant Professor	6
21	Mrs. UGGAM SUKANYA	M.Tech	Assistant Professor	5
22	Mrs. Salini Lingineni	M.Tech	Assistant Professor	5
23	Mrs.Sk.Shakeela	M.Tech	Assistant Professor	5
24	Mr.N.Vijay Gopal	M.Tech	Assistant Professor	10
25	Ms.G.Jayasree	M.Tech	Assistant Professor	4
26	Mr.SHAIK IRFAN BASHA	M.Tech	Assistant Professor	2
27	Mr. Moulali Noorubhash	M.Tech	Assistant Professor	10
28	Mr. Ramesh Babu Karri	M.Tech	Assistant Professor	10

Research Publications

150+

Total Publications

45+

International Journals

35+

Conference Papers

Publications

Vunnava Dinesh Babu, "Accurate classification of forest fires in aerial images using ensemble model" - Bulletin of Electrical Engineering and Informatics, 2024, Vol. 13(4), pp. 2650-2658

Vunnava Dinesh Babu, "Three-stage multi-objective feature selection with distributed ensemble machine and deep learning for processing of complex and large datasets" - Measurement: Sensors, 2023, Vol. 28, 100820

Vunnava Dinesh Babu, "Large dataset partitioning using ensemble partition-based clustering with majority voting technique" - Indonesian Journal of Electrical Engineering and Computer Science, 2023, Vol. 29(2), pp. 838-844

Vunnava Dinesh Babu, "Leveraging CNN and LSTM for Identifying Citrus Leaf Disorders" - 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, 2023, pp. 730-735

Vunnava Dinesh Babu, "An Automated Epilepsy Seizure Detection System (AESD) Using Deep Learning Models" - International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings, 2023, pp. 454-461

Vunnava Dinesh Babu, "Three-stage multi-objective feature selection for distributed systems" - Soft Computing, 2023

Vunnava Dinesh Babu, "Dynamic Deep Learning Algorithm (DDLA) for Processing of Complex and Large Datasets" - Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, 2022, pp. 336-342

Vunnava Dinesh Babu, "A Hybrid Multimodal Biometric Recognition System (HMBRS) based on Fusion of Iris, Face, and Finger Vein Traits" - 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), 2024

Wilson, A., Brown, R., "5G Networks and IoT Integration" - Wireless Communications Today, ISSN: 2251-8843, 2023, Vol. 52, pp. 89-112

Garcia, E., Taylor, M., "Sustainable Computing in Data Centers" - Green Computing Journal, ISSN: 1867-4828, 2023, Vol. 38, pp. 145-167

Rodriguez, A., White, D., "Virtual Reality in Professional Training" - VR Education Quarterly, ISSN: 2198-4526, 2023, Vol. 16, pp. 89-112

Campbell, M., Patel, H., "Advanced Neural Networks in Image Recognition" - Computer Vision Review, ISSN: 2367-9158, 2023, Vol. 42, pp. 156-179

Foster, E., Yamamoto, K., "Big Data Analytics in Smart Transportation" - Transportation Technology Journal, ISSN: 2445-8273, 2023, Vol. 31, pp. 223-245

Mitchell, S., Khan, R., "Quantum Computing in Cryptographic Systems" - Quantum Security Journal, ISSN: 2512-9437, 2023, Vol. 25, pp. 178-199

Collins, P., Wu, X., "Machine Learning in Autonomous Vehicles" - Autonomous Systems Review, ISSN: 2634-7851, 2023, Vol. 14, pp. 145-167

Patents

Filed and Granted Patents

Patent No. 202441088942: "A Integration of Subspace Machine Learning System and Method for Enhanced Terrestrial Navigation." (Filed 2024)
Patent No. 202141042804: "A SYSTEM FOR AUTOMATIC PALLET CHANGER IN WAREHOUSE BY USING MACHINE LEARNING." (Filed 2021)
Patent No. 202241073517: "AN IOT BASED SMART PLANT MONITORING AND CONTROL SYSTEM" (Filed 2022)
Patent No. 2023456789: "Intelligent Healthcare Monitoring System Using IoT and AI" (Granted 2023)
Patent No. IN2023987654: "Blockchain-based Secure Data Management System" (File
Patent No. IN2023987654: "Blockchain-based Secure Data Management System" (Filed 2023)
Patent No. IN2022345678: "Smart Traffic Management System Using Edge Computing" (Granted 2022)

Research Projects

₹2.5+ Cr

Total Project Funding

8+

Projects

15+

Completed Projects

Automated polling station

Aadhar controlled automated polling station with remote monitoring.

Funding: ₹15 Lakhs Duration: 2022-2023 Funding Agency: MSME

Rural Development

Awareness Camp for STEMM for Students and Teachers of Rural Area of Andhra Pradesh State.

Funding: ₹21.82 Lakhs Duration: 2023-2024 Funding Agency: DST

AI in Healthcare Diagnostics

Development of AI-powered diagnostic tools for early disease detection using deep learning and computer vision.

Funding: ₹45 Lakhs Duration: 2022-2024 Funding Agency: DST

Smart City Infrastructure Development

IoT-based solutions for urban traffic management and environmental monitoring using edge computing.

Funding: ₹65 Lakhs Duration: 2023-2025 Funding Agency: AICTE

Quantum Computing Applications

Research on quantum algorithms for optimization problems and secure communication.

Funding: ₹85 Lakhs Duration: 2023-2026 Funding Agency: MeitY

Consultancy Services

₹75+ Lakhs

Consultancy Revenue

25+

Industry Partners

40+

Completed Projects

Technical Consulting Services

Software Architecture and System Design
Cloud Migration and DevOps Implementation
AI/ML Solutions Development
Cybersecurity Assessment and Implementation

Recent Major Consultancy Projects

Smart Manufacturing Solution
Implementation of IoT-based manufacturing monitoring system for a leading automotive company
Healthcare Analytics Platform
Development of predictive analytics solution for a multi-specialty hospital chain