Data Science

About Department

Department Overview

About Department

About the Department

The CSE - Data Science department was established with B.Tech Program in 2020 with intake of 60 students. The world is awash in huge volume of data and currently data scientist specialists are needed for unlocking its potential for various organizations. The B.Tech Computer Science and Engineering program with specialization in Data Science is an innovative, exponentially rising field which consists of a set of tools and techniques used to extract useful information from data. It emphasizes to enhance student skills in Data Science by imparting them mathematical models with engineering and scientific principles to unravel solutions for real time problems. Due to the large growth in the scope of data, every business depends on data-driven decision making. The curriculum of this program is systematically designed to expose students to various data analysis areas such as data mining, statistics, predictive analysis, programming for data science, data visualization etc., The undergraduates of this program go on to become Data Scientists, Data Engineer, Data Warehouse Architect, Business Intelligent Analysts, Big Data Architects and Research Scientist.

The B.Tech Computer Science and Engineering program with specialization in Artificial Intelligence and Machine learning program is intended at studying, designing, developing, implementing, support and management of computer-based information systems.

Head of Department

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.

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.

Our Purpose

Vision & Mission

Vision

To emerge as a recognized center through strong research and teaching environment to address technological needs of the stakeholders.

Mission

Quality Education

Provide quality education in both the theoretical and applications of computer science and apply education to solve real-world problems.

Research & Innovation

Conduct research to advance the state of the art in computer science and integrate research results and innovations into other scientific disciplines.

Problem Solving

Graduates with the ability to solve complex problems that address societal needs and develop appropriate computer programs using the latest tools and technologies.

Higher Education

Graduates with the ability to pursue higher education, research, innovation, and successful careers in Computer Science & Engineering.

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 establish successful careers in data science, analytics, software development, and allied industries or pursue higher education and research.

PEO 2

Graduates will collect, process, analyze, and interpret large-scale data to extract meaningful insights using statistical, analytical, and computational techniques.

PEO 3

Graduates will demonstrate professionalism, ethical responsibility, effective communication, and teamwork while handling data-driven decision-making tasks.

PEO 4

Graduates will continuously upgrade their skills to adapt to emerging data technologies, tools, and societal requirements.

Program Outcomes (POs)

Graduates of the program will attain the following outcomes.

PO1

Engineering Knowledge

Apply the knowledge of Mathematics, Science, Engineering fundamentals and specialization to solve complex engineering problems.

PO2

Problem Analysis

Identify, formulate, research literature, analyze complex engineering problems and reach substantiated conclusions.

PO3

Design / Development of Solutions

Design solutions for complex engineering problems considering public health, safety, society and environment.

PO4

Conduct Investigations

Use research based knowledge and experiments to provide valid conclusions.

PO5

Modern Tool Usage

Select and apply modern engineering and IT tools for solving complex problems.

PO6

Engineer and Society

Apply contextual knowledge to assess societal, legal and cultural responsibilities.

PO7

Environment & Sustainability

Understand the impact of engineering solutions on environment and sustainability.

PO8

Ethics

Apply ethical principles and commit to professional responsibilities.

PO9

Individual & Team Work

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

PO10

Communication

Communicate effectively with engineering community and society.

PO11

Project Management & Finance

Apply engineering and management principles in multidisciplinary projects.

PO12

Life-long Learning

Recognize the need for independent and lifelong learning.

Program Specific Outcomes (PSOs)

Engineering students will be able to:

PSO1

Statistical Analysis & Machine Learning

Ability to apply statistical analysis, machine learning, and data mining techniques to analyze structured and unstructured data for decision-making.

PSO2

Data Science Tools & Predictive Solutions

Ability to use data science tools, programming languages, and visualization techniques to develop predictive models and data-driven solutions.

Course Outcomes (COs)

Click below to view the Course Outcomes.

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R-23

Course Outcomes (COs)

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R-20

Course Outcomes (COs)

Teaching Excellence

Faculty Members

Mr. Vasipalli Venkata Visweswara V V

Associate Professor

M.Tech

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Mr. Pilla Revathi

Assistant Professor

M.Tech

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Mr. Bathina Aswani

Assistant Professor

M.Tech

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Miss Verma Phool Puspanjali Burada

Associate Professor

M.Tech

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Mr. Chandaka Indra Rao

Assistant Professor

M.Tech

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Mr. Potlakayala Sudharsanarao

Assistant Professor

M.Tech

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Mr. Venkata Kiran Kuna

Assistant Professor

M.Tech

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Mr. Madhavarao Terli

Assistant Professor

M.Tech

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Mr. Ashokaraju Penmetsa

Assistant Professor

M.Tech

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Mr. Raviteja Moyyi

Assistant Professor

M.Tech

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Mr. Rajesh A

Assistant Professor

M.Tech

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Mr. Janardhanrao Kuppa

Assistant Professor

M.Tech

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Mr. Mukundarao Pola

Assistant Professor

M.Tech

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Mr. Sireesha Marna

Assistant Professor

M.Tech

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Mrs. Prema Lakshmi Pasupuleti Nagamani

Assistant Professor

M.Tech

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Mr. Santosh Kumar A

Assistant Professor

M.Tech

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Academic Resources

Academic Information

Syllabus

DS R-20 Regulation

Academic Calendars

Time Tables

Research Publications

Faculty Achievements

Journals : SCI / Scopus / UGC Care

Mrs. P. Srilakshmi Program Coordinator

Article "An Efficient Swift Routing Model with Node Trust Identity Factor (SRM-NTIF) to Perform Secure Data Transmission Among IoT Gadgets" has been indexed in Scopus Database, IIETA (International Information and Engineering Technology Association), Revue d'Intelligence Artificielle, Vol.36, No.1, February 2022.

Mrs. Sangita Mishra

Published a UGC Care Journal paper titled "Revolutionizing Patient Care: The Synergy of Predictive Analytics and Decision Support Systems in AI-driven Healthcare" in International Journal of Research and Analytical Reviews (IJRAR), ISSN/e-ISSN: 2348-1269 / 2349-5138, Volume 11, 7 March 2024.

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Mrs. P. Lavanya

Published a UGC Care Journal paper titled "Revolutionizing Patient Care: The Synergy of Predictive Analytics and Decision Support Systems in AI-driven Healthcare" in IJRAR, ISSN/e-ISSN: 2348-1269 / 2349-5138, Volume 11, 7 March 2024.

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Mr. P. Sudharsanarao

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Mrs. K. Kausalya

Published a UGC Care Journal paper titled "Exploring the Moral Conundrums and Data Privacy Challenges in Emerging Technologies: A Comprehensive Analysis" in IJRAR, ISSN/e-ISSN: 2348-1269 / 2349-5138, Volume 11, 7 March 2024.

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Mrs. G. Ramadevi

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Mr. K.M. Ravi Kumar

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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" in IJITEE, 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 a 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", Biomedical Signal Processing and Control, Publisher: Elsevier, ISSN/e-ISSN: 1746-8094 / 1746-8108, Volume 81, March 2023.

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Dr. Gandi Satyanarayana HOD

Published a UGC Care Journal paper titled "Privacy Preserved Patients Report Summary", Dogo Rangsang Research Journal (DRSR), UGC Care Group I Journal, ISSN: 2347-7180, Vol-13, Issue-6, June 2023, Pages: 86-93.

Mrs. Roopa Devi Chandanala

Presented a paper titled "Document Clustering to Organize the Similar Documents into Classes using K-means to Improve Retrieval and Time Complexity", published in IJSEAT, Vol-8, Issue No.11, Page No. 178-187, November 2020.

Mr. Seerapu Kesava Rao

"A Modified ACO Algorithm for Image Edge Detection", IJCSCN Journal, Volume-2, Issue 4, July 2012.

Mr. Seerapu Kesava Rao

"Face Recognition using Robust PCA and Radial Basis Function Networks", IJCSCN, Volume 2, Issue 5, October 2012.

Mr. Seerapu Kesava Rao

"A Novel Secured Data Communication and Prevention of Forgery Attacks using Digital Certificates", International Journal of Computer Science and Information Technologies, Volume-5, September 2014.

Mr. Seerapu Kesava Rao

"Modified Kerberos and Multimedia Internet Keying (MIKEY) for Authenticated Transport of Group Keys using Blum Shub Algorithm", International Journal of Research in Computer and Communication Engineering, Vol 5, Issue 11, November 2016.

Mr. Seerapu Kesava Rao

"The Recognition of Unauthorized User and Distribute Authenticity for Data in WSN", International Journal of Computer Science Technologies, Vol 7, Issue 4, December 2016.

Mr. Seerapu Kesava Rao

"Software Testing Techniques: A Literature Review", JETIR, Vol-6, Issue 2, February 2019.

Mr. Seerapu Kesava Rao

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

Parents

Mrs. Srilakshmi Puli

Published a patent titled "Sensor Hub for Network Security". Application Id: 6297635, Patent Office Journal No. 26/2023, Dated: 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, Dated: 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, Dated: 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, Dated: 29/03/2024.

Dr. Gandi Satyanarayana

Published a 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, Dated: 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, Dated: 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, Dated: 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, Dated: 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, Dated: 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, Dated: 22/09/2023.

Patchikolla Satheesh, Muppalaneni Naresh Babu, Jagadesh B.N., Akula Chandra Sekhar & Raja D R Kumar

Patent published in "Innovation of Patent" on 31 March 2021. Title of Invention: "Rapid Plastic Detection in Sea Shore using Convolutional Neural Networks in Autonomous Cleaning Vehicle".

Books

Srilakshmi Puli

Published a book titled "Cryptography and Security in the Modern Era". ISBN: 9789366740249.

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

Sudharsanarao Potlakayala

Completed the NEP-2020 Orientation & Sensitization Programme under the Malaviya Mission Teacher Training Programme (MM-TTP) of UGC, organized by UGC-MMTTC (GAD-MMTTC), Sri Guru Tegh Bahadur Khalsa College, University of Delhi, 4th to 14th February 2025.

Bheesetti Ganesh

Completed the NEP-2020 Orientation & Sensitization Programme under MM-TTP of UGC, organized by UGC-MMTTC, University of Delhi, 4th to 14th February 2025.

Bonela Prasanna Kumari

Completed the NEP-2020 Orientation & Sensitization Programme under MM-TTP of UGC, organized by UGC-MMTTC, University of Delhi, 4th to 14th February 2025.

Mr. Chandaka Indra Rao

Completed the NEP-2020 Orientation & Sensitization Programme under MM-TTP of UGC, organized by UGC-MMTTC, University of Delhi, 4th to 14th February 2025.

K.M. Ravi Kumar

Completed the NEP-2020 Orientation & Sensitization Programme under MM-TTP of UGC, organized by UGC-MMTTC, University of Delhi, 4th to 14th February 2025.

Sangita Mishra

Completed the NEP-2020 Orientation & Sensitization Programme under MM-TTP of UGC, organized by UGC-MMTTC, University of Delhi, 4th to 14th February 2025.

Donthala Kiran Kumar

Participated in the One Week National Level FDP on "AI Tools", organized by Avanthi Institute of Engineering & Technology in association with Brainovision Solutions India Pvt. Ltd and AICTE, 17th to 21st February 2025.

Donthala Kiran Kumar

Participated in a five-day professional development programme on "IoT Security Operations Center (SOC) Practices", organized by Dept. of CSE (CYS, DS) and AI&DS, VNR Vignana Jyothi Institute of Engineering and Technology, 20th to 24th January 2025.

Mr. Chadaka Indra Rao

Participated in a one-week online FDP on "Emerging Technology in Industry 4.0", organized by the Department of Computer Science and Engineering, 30th December 2024 to January 2025.

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Mr. Donthala Kiran Kumar

Participated in a one-day professional development programme on "Introduction to Machine Learning for Cyber Security", organized by the Department of Computer Science and Engineering, Behara College of Engineering and Technology in collaboration with Pencil Bitz, 24th December 2024.

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Mrs. P. Srilakshmi Program Coordinator

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

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