Computer Science & Engineering

About Department

Department of Computer Science and Engineering

The Department of Computer Science and Engineering (CSE) was established in 2005 with an initial intake of 60 students in the B.Tech. Computer Science and Engineering programme. Over the past two decades, the department has progressively expanded its academic programmes, infrastructure, faculty strength, industry collaborations, research activities, and student-centric learning initiatives. The department currently offers three B.Tech. programmes in Computer Science and Engineering and its emerging areas, along with a two-year full-time M.Tech. programme in Computer Science and Engineering.

The M.Tech. programme in Computer Science and Engineering was introduced in 2010 with an initial intake of 18 students. The programme is designed to provide advanced knowledge and skills in core areas of Computer Science and Engineering, algorithms, emerging technologies, research methodologies, and application-oriented problem solving. It caters to graduates, practising engineers, IT professionals, and aspiring researchers seeking advanced expertise in Computer Science and Engineering.

The B.Tech. programme in Computer Science and Engineering was accredited by the National Board of Accreditation (NBA) on two successive occasions, in 2014 and 2017. These accreditations demonstrate the department's commitment to outcome-based education, academic quality, continuous improvement, and professional standards.

The department aims to develop graduates with strong expertise in computation, algorithms, data structures, programming, software development, Artificial Intelligence, data analytics, cloud computing, Big Data, cybersecurity, and secure application development. Students are provided exposure to programming languages and technologies such as C, Python, Java, and open-source technologies, along with emerging areas relevant to industry and research.

The department has established Centres of Excellence and industry-supported initiatives in niche technological areas in collaboration with leading organizations such as PEGA Systems, CTS, TCS, Infosys, etc and other industry partners. These collaborations provide students and faculty with opportunities for exposure to current technologies, industry practices, hands-on training, certifications, internships, projects, and real-world problem solving.

The department follows a student-centric and experiential learning approach through a wide range of academic and co-curricular activities, including classroom teaching, seminars, student presentations, video lectures, MOOCs, NPTEL/SWAYAM courses, online learning, Minor and Honors programmes, internships, project-based learning, experiential learning, coding activities, hackathons, and industry-oriented training. These initiatives facilitate the development of technical competencies, problem-solving abilities, communication skills, teamwork, leadership qualities, innovation, and lifelong learning capabilities.

Research Centre and Research Guidance

The Department of Computer Science and Engineering (CSE) has been recognized by Jawaharlal Nehru Technological University–Gurajada Vizianagaram (JNTU-GV) as a Research Centre for the academic years 2023–24, 2024–25, 2026–27, and 2027–28. This recognition reflects the department's sustained commitment to strengthening research, innovation, and advanced learning in Computer Science and Engineering and its emerging areas.

The department has a strong research-oriented faculty base. All eligible faculty members holding Ph.D. qualifications have been recognized as research guides by JNTU-GV, in accordance with the applicable university norms. The recognized research guides have been allocated research scholars and are actively engaged in guiding doctoral research in their respective areas of specialization.

The Research Centre provides a structured platform for faculty members and research scholars to undertake advanced and interdisciplinary research, publish research outcomes in reputed journals and conferences, pursue funded research, develop intellectual property, undertake consultancy and collaborative research, and address industry and societal challenges through innovative technological solutions. The department promotes a vibrant research culture through faculty research, doctoral research, student projects, publications, workshops, seminars, collaborations, and innovation-oriented activities.

Student Associations, Clubs and Professional Chapters

The Association of Computer Science and Engineering (ACSE) functions as an active student body that promotes professional development, career readiness, technical competencies, interpersonal skills, and intrapersonal skills among students. ACSE organizes a wide range of activities including seminars, quizzes, industrial visits, paper and poster presentations, group discussions, guest lectures, career guidance programmes, coding competitions, coding games, and technical events.

The department also facilitates student participation through professional societies and technical clubs, including:

Computer Society of India (CSI) Students Branch
Indian Society for Technical Education (ISTE) Students Chapter
Coding Club
AI Club
Rubix Club

These professional chapters and student clubs provide platforms for students to pursue their technical interests, collaborate with peers, develop professional competencies, and participate in coding challenges, open-source contributions, hackathons, code-a-thons, technical competitions, workshops, and Engineering Clinics. These activities nurture innovation, creativity, problem-solving skills, entrepreneurship, teamwork, and industry readiness.

M.Tech. –Computer Science and Engineering

The Department offers a two-year full-time M.Tech. programme in Computer Science and Engineering, introduced in 2010 with an intake of 18 students. The programme provides advanced knowledge in Computer Science and Engineering, with emphasis on advanced algorithms, emerging computing technologies, research methodology, software development, and specialized areas of Computer Science.

Students are encouraged to participate in open-source projects, coding challenges, hackathons, code-a-thons, internships, technical competitions, research activities, and industry-oriented projects. The department promotes project work based on emerging technologies, research problems, industry requirements, and societal needs, thereby strengthening students' research aptitude and professional competencies.

Historical Growth of B.Tech. – Computer Science and Engineering

The B.Tech. Computer Science and Engineering programme has witnessed significant growth in sanctioned intake over the years:

Year	Major Development	Intake
2005	B.Tech. CSE started	60
2007	Intake increased	120
2015	Intake increased	180
2024	Intake increased	300
2025	Intake increased	420

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Research Centre

Computer Science & Engineering Department is recognized as a Research Centre under JNTU-GV.

UG (B.Tech) Programs

Computer Science & Engineering

B.Tech Programme

Artificial Intelligence & Machine Learning

B.Tech Programme

Data Science

B.Tech Programme

PG (M.Tech) Program

Computer Science & Engineering

M.Tech Programme

Modern Laboratories

State-of-the-art laboratories equipped with the latest computing infrastructure.

Experienced Faculty

Highly qualified faculty actively engaged in research, innovation and continuous learning.

Excellent Placements

Students are placed every year in reputed national and multinational companies.

Research & Innovation

Active research in AI, Cyber Security, IoT, AR, Data Analytics, Image Processing and Emerging Technologies.

Head of Department

Dr. Gandi Satyanarayana

Professor & Head

Professor & Head, Department of Computer Science and Engineering Avanthi Institute of Engineering and Technology (Autonomous), Cherukupally, Andhra Pradesh, India

Dr. Gandi Satyanarayana is currently working as Professor and Head of the Department of Computer Science and Engineering (CSE) at Avanthi Institute of Engineering and Technology (Autonomous), Cherukupally, Vizianagaram District, Andhra Pradesh, India, where he has been serving since 2019 onwards.

He received his M.Tech. in Computer Science and Technology (CST) with specialization in Artificial Intelligence & Robotics from Andhra University and his Ph.D. in Computer Science and Engineering from GITAM Deemed to be University, Visakhapatnam.

Dr. Gandi Satyanarayana has more than 28 years of teaching and academic administrative experience at the undergraduate and postgraduate levels. His major areas of research interest include Artificial Intelligence, Artificial Intelligence & Robotics, Computer Security, and Safety-Critical Computer Systems.

He has made significant contributions to research and academic activities. He has published 5 SCI-indexed journal papers, more than 20 Scopus-indexed journal papers, and more than 15 papers in UGC-CARE journals. He has also authored 4 books with ISBN numbers and has 7 published patents. He is a recognized Research Guide of JNTU-GV and is currently guiding one research scholar.

Dr. Satyanarayana has supervised nearly 45 undergraduate and 15 postgraduate student projects. He has also contributed extensively to academic activities by preparing UG and PG question papers for various autonomous institutions. He has participated in several Faculty Development Programmes (FDPs), workshops, training programmes, and professional development activities, and has served as a resource person for FDPs and academic programmes at various colleges.

During his tenure, he has undertaken several important academic and institutional responsibilities. As IQAC Coordinator, he contributed significantly to institutional quality initiatives and the successful achievement of NAAC A+ accreditation. He has also contributed to the NBA accreditation process on three occasions.

As Chairperson of the Board of Studies (BoS), he has actively contributed to the design and development of course structures, curricula, and syllabi at UG and PG levels, incorporating the principles and academic framework of NEP 2020.

He has also served as a CSI Student Branch Counsellor and has contributed to strengthening student professional activities, technical events, and industry-oriented learning. In recognition of his contributions, the CSI Student Branch received the Best Student Branch Counsellor (SBC) Award from CSI Mumbai.

He has actively contributed to teaching, academic administration, curriculum development, accreditation, quality assurance, research, student mentoring, professional activities, and institutional development. His professional interests focus on promoting Artificial Intelligence, research and innovation, cybersecurity, and safety-critical computing systems. He is a Life Member of the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), and International Association of Engineers (IAENG).

Vision & Mission

Vision

To emerge as a center of excellence in Computer Science and Engineering education and research, producing competent, industry-ready professionals with innovation, ethical values, and social responsibility.

Mission

M1

To impart strong foundational knowledge in computer science, programming, and emerging technologies through effective teaching–learning practices.

M2

To develop problem-solving, analytical, and research skills by encouraging innovation, projects, and industry interaction.

M3

To develop problem-solving, analytical, and research skills by encouraging innovation, projects, and industry interaction.

M4

To inculcate ethical values, social responsibility, and lifelong learning
skills to meet professional and societal challenges.

Outcome Based Education

PEOs, POs & COs (UG)

Program Educational Objectives (PEOs)

Our graduates are expected to achieve the following educational objectives.

PEO 1

Graduates will apply strong foundations in computer science, mathematics, and engineering principles to analyze and solve real-world problems.

PEO 2

Graduates will design, develop, and deploy software systems and applications using modern tools, technologies, and industry-standard practices.

PEO 3

Graduates will pursue successful careers in industry, entrepreneurship, higher education, or research through continuous learning and skill enhancement.

PEO 4

Graduates will demonstrate professional ethics, effective communication, teamwork, and leadership while contributing responsibly to society.

Program Outcomes (POs)

Graduates of the program will attain the following outcomes.

PO 1

Engineering Knowledge

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO 2

Problem Analysis

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4).

PO 3

Design/Development of Solutions

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO 4

Conduct Investigations of Complex Problems

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO 5

Engineering Tool Usage

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO 6

The Engineer and The World

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO 7

Ethics

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO 8

Individual and Collaborative Team Work

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO 9

Communication

Communicate effectively and inclusively within the engineering.

PO 10

Project Management and Finance

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO 11

Life-Long Learning

Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

WK 1

Natural Sciences

A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.

WK 2

Mathematics and Computing

Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.

WK 3

Engineering Fundamentals

A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.

WK 4

Engineering Specialist Knowledge

Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.

WK 5

Engineering Design and Operations

Knowledge, including efficient resource use, environmental impacts, whole-life cost, reuse of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.

WK 6

Engineering Practice

Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.

WK 7

Engineering and Society

Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.

WK 8

Research and Critical Thinking

Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.

WK 9

Ethics, Inclusion and Professional Conduct

Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

Program Specific Outcomes (PSOs)

Students graduating from the program will be able to achieve the following program specific outcomes.

PSO1

Apply core computing concepts to design efficient software and systems.

Program Educational Objectives (PEOs)

Our graduates are expected to achieve the following educational objectives.

PEO 1

High level attainment in professional career and higher education by acquiring knowledge of computation, mathematics and basic principles of engineering.

PEO 2

Analysis of real life problems to develop economically viable and socially acceptable engineering solutions.

PEO 3

Excellence in professionalism, moral and ethical conduct, interpersonal skills and adaptable communication to prevalent trends in technology.

Program Specific Outcomes (PSOs)

Students graduating from the programme will be able to achieve the following.

PSO1

Latest Tools & Technologies

Comprehend latest tools and techniques of Computer Engineering to analyse, design and create computing products and solutions for real life problems.

PSO2

Life Skills

Exposure to life skills and intrapersonal development activities to face dynamically changing technology.

PSO3

Professional Attitude

Solve interdisciplinary activities with professional attitude, ethics, communication and ability to solve social issues through employment, higher studies and research.

Program Outcomes (POs)

Graduates of the programme will attain the following outcomes.

PO1

Engineering Knowledge

Demonstrate knowledge with ability to select, learn and apply appropriate techniques, skills and modern engineering tools to solve engineering problems appropriate to the relevant discipline.

PO2

Problem Solving

Analyse engineering problems critically, conceptualize, design, implement and evaluate potential solutions in the context of the relevant discipline.

PO3

Research & Development

Independently carry out research, investigation and development work to solve practical problems.

PO4

Professional Growth

Function effectively as an individual and in a team to possess knowledge and recognize opportunities for career progression and research.

PO5

Professional Communication

Communicate effectively in professional practice through verbal and written formats.

PO6

Life-long Learning

Recognize the need for self-motivated pursuit of knowledge to show commitment and competence in the broadest context of technological change.

Course Outcomes (COs)

Select the regulation to view the PG Course Outcomes.

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R19

PG Course Outcomes

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R16

PG Course Outcomes

Teaching Excellence

Faculty Members

Mrs. Gangiraju Kanaka Maha Lakshmi

Assistant Professor

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Mr. Dukka Adinarayana

Assistant Professor

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Mrs. Boodi Vineela

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Mrs. Lavudi Pratyusha

Assistant Professor

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Mr. Yalla Hari Krishna

Assistant Professor

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Mr. Anaparthi Srikar

Assistant Professor

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Mrs. Pyli Lavanya

Assistant Professor

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Mr. Mutnuru Ravi Kumar

Assistant Professor

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Mrs. Mentada Shilpa

Assistant Professor

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Mrs. Pragada Uma Parvathi Kumari

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Academic Resources

Academic Information

Syllabus

Academic Calendars

Time Tables

Research & Publications

Faculty Achievements

Journals: SCI / Scopus / UGC Care

Volume: 11, Date: 7 March 2024

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Miss. B. Renuka Sai

Published a journal titled "An Efficient Approach to Publish the Data of Multiple Sensitive Attributes Using Modified (l,m,d) Algorithm".

Journal: IJITEE

Date: 20 April 2022

Mrs. A. Swathi

Published a UGC Care Journal paper titled "Psychological Stress Analysis based on Machine Learning Network Stream Usage".

Mrs. P. Monika

Published a UGC Care Journal paper titled "Psychological Stress Analysis based on Machine Learning Network Stream Usage".

Mrs. Ch. Roopadevi

Published a UGC Care Journal paper titled "Psychological Stress Analysis based on Machine Learning Network Stream Usage".

Dr. Gandi Satyanarayana – HOD

Published an SCOPUS Journal paper titled "Finding Related Posts On Social Media Through Content Semantic Similarity."

Dr. Gandi Satyanarayana – HOD

Published an SCI Journal paper titled "A Mass Correlation-Based Deep Learning Approach Using Deep Convolutional Neural Network to Classify the Brain Tumor."

Journal: Biomedical Signal Processing and Control, Publisher: Elsevier, The Boulevard, Langford Lane, Kidlington, Oxford, England, Oxon, OX5 1GB

ISSN / e-ISSN: 1746-8094 / 1746-8108

Volume: 81, Month: March 2023

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Dr. Gandi Satyanarayana – HOD

Published a UGC Care Journal paper titled "Privacy Preserved Patients Report Summary."

Journal: Dogo Rangsang Research Journal (DRSR), UGC Care Group-I Journal

ISSN: 2347-7180

"Analyzing and Forecasting of Stock Index Price Applying Machine Learning Techniques" — IJSEAT, Vol-8, Issue 11, November 2020.

Patents

Mrs. Srilakshmi Puli

Published a Patent titled "Sensor Hub for Network Security".

Application ID: 6297635

Patent Office Journal: No. 26/2023

Date: 20/07/2023

Mrs. Srilakshmi Puli

Published a Patent titled "An AI-based Customer Service Chatbot with Emotional Intelligence and Method Thereof".

Application ID: 202341024289

Patent Office Journal: No. 14/2023

Date: 07/04/2023

Mrs. Sangita Mishra

Published a Patent titled "Detecting of Heart Failure by using Advanced Machine Learning and Artificial Intelligence Techniques".

Application ID: 202421021126A

Patent Office Journal: No. 20/2023

Date: 19/04/2024

Dr. P. Satyanarayana

Published a Patent titled "Enhancing Language Learning through Technology-infused Instruction".

Patent Application ID: 202441018918

Patent Office Journal: No. 03/2024

Date: 29/03/2024

Dr. Gandi Satyanarayana

Published an IPR Design Patent titled "IOT BASED PNEUMONIA DETECTION DEVICE".

Design Patent Application ID: 396757-001

C.B.R. No: 212517

Patent Office Journal: No. 47/2023

Date: 24/11/2023

Dr. Gandi Satyanarayana

Published a Patent titled "A Machine Learning Based System for Cyber Attack Detection and Prevention in Cloud-Based, Wireless Virtual Environments".

Application ID: 202341011275

Patent Office Journal: No. 11/2023

Date: 17/03/2023

Dr. Gandi Satyanarayana

Published a Patent titled "An Analytics Interface for Providing Cyber Threat Detection and Security System".

Application ID: 202341049516

Patent Office Journal: No. 35/2023

Date: 01/09/2023

Dr. Akula Chandra Sekhar

Published a Patent titled "Deep Learning Resolves Representative Movement Patterns In A Marine".

Application ID: 202341016417

Patent Office Journal: No. 11/2023

Date: 17/03/2023

Mr. Surendra Kumar Choudary

Published a Patent titled "A Real Time Streaming Analytics for Internet of Things (IOT) Data".

Application ID: 202341029933

Patent Office Journal: No. 18/2023

Date: 05/05/2023

Mrs. Ch. Roopa Devi

Published a Patent titled "An Automated Data Categorization and Clustering System Using Unsupervised Learning Algorithms".

Application ID: 202321049517

Patent Office Journal: No. 38/2023

Date: 22/09/2023

Innovation of Patent — published 31 March 2021

Title of Invention: Rapid Plastic Detection in Sea Shore using Convolutional Neural Networks in Autonomous Cleaning Vehicle

Name of Inventor(s): Patchikolla Satheesh; Muppalaneni Naresh Babu; Jagadesh B.N.; Akula Chandra Sekhar; Raja D R Kumar

Books

Dr. Gandi Satyanarayana

Published a Book titled "Computer Networks And Security" — ISBN: 978-93-6132-944-9, Publisher: Scientific International Publishing House.

Dr. Gandi Satyanarayana

Published a Book titled "Python Programming Hands-on Approach" — ISBN: 978-93-5757-172-2, Publisher: Scientific International Publishing House.

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Dr. Akula Chandra Sekhar

Published a Book titled "Java Programming - Beginners Guide" — ISBN: 978-93-5757-168-5, Publisher: SIPH.

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Mr. Surendra Kumar Choudary

Published a Book titled "Fundamentals of Computer Networks" — ISBN: 978-93-5757-238-5, Publisher: Scientific International Publishing House.

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Mr. S. Kesava Rao

Published a Book titled "Data Structures and Algorithm" — ISBN: 978-93-5757-318-4, Publisher: Scientific International Publishing House.

Faculty Development Programs

Mrs. P. Srilakshmi – Program Coordinator

Conducted as a host college a 3 Days Faculty Development Program on "Innovations In Machine Learning Pedagogy", organized by Department of CSE, CSE-DS, AI&ML of Avanthi Institute of Engineering & Technology during 27th to 29th December 2023.

Brain O Vision Certificate