Computer Science & Engineering

Department

About the Department

Department of Computer Science & Engineering

Computer Science & Engineering

The Department of Computer Science & Engineering focuses on developing strong foundations in computing, programming, software engineering, emerging technologies, problem solving and professional skills.

The department offers undergraduate and postgraduate programmes in Computer Science and related technology domains, preparing students for higher education, industry careers, entrepreneurship and lifelong learning.

5Programmes Offered
CSECore Department
AIEmerging Technology Programmes
Academic Programmes

Courses Offered

Undergraduate, postgraduate and diploma programmes.

01

B.Tech CSE

Bachelor of Technology in Computer Science & Engineering.

Undergraduate
02

B.Tech CSE (AI & ML)

B.Tech in Computer Science & Engineering with Artificial Intelligence & Machine Learning.

Undergraduate
03

B.Tech CSE (AI & DS)

B.Tech in Computer Science & Engineering with Artificial Intelligence & Data Science.

Undergraduate
04

M.Tech CSE (AI & ML)

Master of Technology in Computer Science & Engineering with AI & ML.

Postgraduate
05

Diploma (CSE)

Diploma programme in Computer Science & Engineering.

Diploma
Department Goals

Vision & Mission

Vision and mission of the Department of CSE.

CSE Vision

To be a recognized centre of excellence in Computer Science and Engineering education, producing technically competent and ethically grounded professionals equipped with global industry skills to serve and uplift society through sustainable technological solutions.

M1

Quality Education

To deliver high-quality, outcome-based curriculum through state-of-the-art infrastructure, empowering students with core computing knowledge and mastery over emerging technology tools.

M2

Research & Innovation

To foster a vibrant environment for research, innovation, and industry-institute collaboration, promoting lifelong learning and entrepreneurial mindsets.

M3

Ethics & Society

To instill strong professional ethics, leadership qualities, and a commitment to developing sustainable computing solutions for society.

Academic Outcomes

Program Outcomes

Graduates of the programme are expected to achieve the following outcomes.

PO1

Engineering Knowledge

Apply mathematics, natural science, computing and engineering fundamentals to develop solutions to complex engineering problems.

PO2

Problem Analysis

Identify, formulate, review research literature and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development.

PO3

Design / Development of Solutions

Design creative solutions, systems, components and processes to meet identified needs while considering public health, safety, cost, society and environment.

PO4

Conduct Investigations

Conduct investigations of complex engineering problems using research-based knowledge, experiments, modelling, analysis and interpretation of data.

PO5

Engineering Tool Usage

Create, select and apply appropriate techniques, resources and modern engineering and IT tools, recognizing their limitations.

PO6

The Engineer and the World

Analyze societal and environmental aspects of engineering problems with reference to sustainability, economy, health, safety, law, culture and environment.

PO7

Ethics

Apply ethical principles, commit to professional ethics, human values, diversity and inclusion, and adhere to national and international laws.

PO8

Individual and Collaborative Team Work

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

PO9

Communication

Communicate effectively and inclusively within the engineering community and society through reports, documentation and presentations.

PO10

Project Management and Finance

Apply engineering management principles and economic decision-making to individual work, teamwork and multidisciplinary projects.

PO11

Life-Long Learning

Recognize the need for independent lifelong learning, adaptability to emerging technologies and critical thinking in a changing technological environment.

Department Outcomes

Program Specific Outcomes

Programme-specific capabilities expected from CSE graduates.

PSO1

Foundation & Analysis

Understand, analyze and develop computer programs and system architectures in algorithms, system software, databases, networking and artificial intelligence.

PSO2

Software Engineering & Security

Apply software development practices, engineering methodologies and cyber security strategies using modern tools to deliver reliable software products.

PSO3

Career & Lifelong Learning

Use modern computer languages, environments and specialized platforms for industry employment, entrepreneurship or higher studies.

Department Resources

General Facilities

Facilities supporting teaching, practical learning and student development.

⌘

Computer Laboratories

Laboratory facilities for programming, software development, practical sessions and technical coursework.

▣

Smart Classrooms

Technology-enabled classrooms supporting interactive teaching, presentations and digital learning.

⌁

Internet Connectivity

Internet-enabled academic facilities supporting online learning, research and technical activities.

▤

Library Resources

Academic books, reference materials and learning resources relevant to computing education.

◈

Seminar & Activity Facilities

Facilities for seminars, workshops, technical events, presentations and student activities.

⚙

Technical Support

Technical and laboratory support for academic, practical and departmental activities.

Our Team

Faculty & Staff

All CSE, AI & ML, AI & DS, Polytechnic and technical support staff on one page.

Department Faculty Directory All faculty and staff are listed below — no faculty tabs required.

CSE Faculty

Dr. Sadat Ali
HOD - CSE

Dr. Sadat Ali

Professor
Qualification: M.Tech, Ph.D.Experience: 24 years
V. Chandra Sekhar

V. Chandra Sekhar

Associate Professor
Qualification: M.TechExperience: 25 years
G. Rama Krishna

G. Rama Krishna

Assistant Professor
Qualification: M.TechExperience: 10 years
B. Revathi

B. Revathi

Assistant Professor
Qualification: M.Tech (Ph.D.)Experience: 11 years
Ch. Revathi

Ch. Revathi

Assistant Professor
Qualification: M.TechExperience: 2 years
R. Sree Devi

R. Sree Devi

Assistant Professor
Qualification: MCAExperience: 10 years
V. Suresh

V. Suresh

Assistant Professor
Qualification: MCAExperience: 9 years
P. Ramya Venkata Lakshmi

P. Ramya Venkata Lakshmi

Assistant Professor
Qualification: M.TechExperience: 9 years
S. Rajeswari

S. Rajeswari

Assistant Professor
Qualification: M.TechExperience: Not specified

AI & ML / AI & DS Faculty

Prof. N. Sushma
HOD - AI & ML / AI & DS

Prof. N. Sushma

Associate Professor
Qualification: M.TechExperience: 21 years
V. Karthikeya

V. Karthikeya

Assistant Professor
Qualification: M.TechExperience: 1 year
T. Uday

T. Uday

Assistant Professor & Web Developer
Qualification: M.Tech (Ph.D.)Experience: 10 years
S. Prathyusha

S. Prathyusha

Assistant Professor
Qualification: MCA (Ph.D.)Experience: 10 years
M. Chakrapani

M. Chakrapani

Assistant Professor
Qualification: M.TechExperience: 5 years

Polytechnic Faculty

D. Taraka Nandini

D. Taraka Nandini

Teaching Assistant
Qualification: B.Tech (M.Tech)Experience: 2 years
MD. Karishma

MD. Karishma

Teaching Assistant
Qualification: B.Tech (M.Tech)Experience: 2 years
Humera Tanveer

Humera Tanveer

Teaching Assistant
Qualification: B.Tech (M.Tech)Experience: 2 years

System Administration

B. Raja Kishore

B. Raja Kishore

System Admin
Qualification: MBA (PGDCA)

Polytechnic Teaching / Lab Support

A.S.V. Prasad

A.S.V. Prasad

Lecturer
Qualification: B.Tech (M.Tech)Experience: 2 years
V. Chaitanya Kumari

V. Chaitanya Kumari

Lecturer
Qualification: B.Tech (M.Tech)Experience: 2 years
Career & Placement

Placements

Campus placement information and student placement records for the 2022–2026 batch.

7 LPACSE Average CTC – GCODING HUB
5 LPACSE Average CTC – QSPIDERS
4 LPACSE Average CTC – TRINWO SOLUTIONS
GCODING HUB
Campus Placements
Average CTC: 7 LPA
Branch: CSE
Batch: 2022–2026
Date: 6 December 2025
Event: Campus Placements
QSPIDERS
Campus Connect
Average CTC: 5 LPA
Branch: CSE
Batch: 2022–2026
Date: 31 January 2026
Event: Campus Placements
Student NameRoll Number
Padala Suguna223C1A0528
Yannam Tejaswini223C1A0540
Vivenkata Manikanta Yaswanth223C1A0542
Mopidevi Deepthi Priya223C1A0525
Madamala Nageswararao223C1A0520
Annam Balaji223C1A0504
Shaik Yaseen Ahammed223C1A0533
Chittibomma Bharath223C1A0510
Pasupuleti Poojitha223C1A0530
Macharla Reshma Sri223C1A0519
Akula Sripriya223C1A0516
K.M.V.N. Sruthi223C1A0502
Mandapati Venkata Naga Manaswini223C1A0522
Gunturu Lakshmi Gayathri223C1A0513
Appanabhotla Janani223C1A0505
Parise Viswa Nandini223C1A0403
Uddagiri Harshith223C1A0537
Madamala Yagnasridevi223C1A0521
TRINWO SOLUTIONS
Campus Placements
Average CTC: 4.0 LPA
Branch: CSE
Batch: 2022–2026
Date: 9 April 2026
Event: Campus Placements
Student NameRoll Number
U.S.S. Sindhuja22301A0538
Botla Surendra Babu23C1A0506
Padala Suguna223C1A0528
Vissamsetti V. M. Yaswanth22301A0542
Pasupuleti Poojitha22301A0530
Placement Update: Copy a placement card to add another company and update the company, CTC, date, batch and student details.
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