Department of Computer Science and Engineering
Department of Computer Science and Engineering
7
Projects
₹8.71L
Total Funding
4
Patents
7
Total Projects
8.71L
Total Funding
6
Publications
4
Patents
Department Overview
B. Tech Computer Science and Engineering (Data Science) or Bachelor of Technology in Computer Science and Engineering with a specialization in Data Science is a four-year undergraduate degree programme with 8 semesters. B. Tec CSE-(Data Science) Department has been started in the year 2021 with an intake of 60 students. It is an emerging Department in the field of Computer Science and Engineering. The Department within an organization is typically responsible for harnessing the power of data to drive informed Decision-Making, Solve Complex Problems, and Create Value. This programme provides the students to understand the fundamental concepts of Computer Science & Engineering with specialized engineering knowledge in the areas of Data Science. Data Science Department plays a crucial role in leveraging data assets to drive business growth, innovation, and competitive advantage. By combining expertise in Data Analysis, Machine Learning, Data Engineering, and Business Acumen, the Department helps Organizations unlock the full potential of their Data Resources. The skillset required for every graduate is in Statistics, Data Analysis, Programming Knowledge, Machine Learning and Business Vision.
Research Focus Areas
• Artificial Intelligence & Machine Learning
• Neural Networks & Deep Learning
• Data Science & Analytics
• Cybersecurity & Network Security
• Image Processing & Computer Vision
• Cloud Computing & IoT
Key Achievements
• 7 funded research projects
• ₹8.71 lakhs total funding secured
• 4 books published by faculty
• 7 book chapters contributed
• 4 patents filed/published
• 2 international conference publications
| S.No | Title of Paper | Name of the Author/s | Journal Name | ISSN Number | Is it listed in UGC Care List / Scopus / Web of Science / Other |
|---|---|---|---|---|---|
| 1 | Deep Learning-based Information Retrieval with Normalized Dominant Feature Subset and Weighted Vector Model | Mr. Poluru Eswaraiah | PeerJ Computer Science | 2376-5992 | SCIE |
| S.No | Title of Paper | Name of the Author/s | Journal Name | ISSN Number | Indexed In (UGC Care / Scopus / Web of Science / Other) |
|---|---|---|---|---|---|
| 1 | A Novel Feature-Based SHM Assessment and Predication Approach for Robust Evaluation of Damage Data Diagnosis Systems | Dr. M. Vishnu Vardhana Rao | Wireless Personal Communications | 0929-6212 (Print); 1572-834X (Web) | Web of Science (SCI) |
| 2 | A Survey Analysis on Data Mining Techniques: ANN & VSM | Dr. M. Vishnu Vardhana Rao | Mukt Shabd Journal | 2347-3150 | UGC |
| 3 | Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique | Dr. M. Vishnu Vardhana Rao | IEEE Access | 2169-3536 | SCI |
| 4 | An Efficient Ontology Model with Query Execution for Accurate Document Content Extraction | Mr. Poluru Eswaraiah | Indonesian Journal of Electrical Engineering and Computer Science | 2502-4752 | Scopus |
| 5 | Text Information Retrieval using Hybrid BOAPSO Optimization Ontology-Based Semantic Model | Mr. Poluru Eswaraiah | International Journal on Electrical Engineering and Informatics | 2085-6830 | Scopus |
| 6 | Word Embedding for Text Classification: Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism | Mr. Poluru Eswaraiah | EAI Endorsed Transactions on Scalable Information Systems | 2032-9407 | ESCI / Scopus |
| 7 | A Hybrid Deep Learning GRU Based Approach for Text Classification using Word Embedding | Mr. Poluru Eswaraiah | EAI Endorsed Transactions on Internet of Things | 2414-1399 | Scopus |
| S.No | Title of Paper | Name of the Author/s | Journal Name | ISSN Number | Indexed In (UGC Care / Scopus / Web of Science / Other) |
|---|---|---|---|---|---|
| 1 | A Building Damage Classification Framework for Feature Subset Selection using Rough Set with Mutual Information | Dr. M. Vishnu Vardhana Rao | Solid State Technology | 0038-111X (Online) | Scopus |
| 2 | Analysis of Classification Technique for Prediction of Damage Levels in Building Structures | Dr. M. Vishnu Vardhana Rao | International Journal of Advanced Science and Technology (Int. J. Adv. Sci. Technol.) | 2005-4238 (Print), 2207-6360 (Online) | Scopus |
| 3 | An Effective Brain Tumor Identification and Classification using Advanced Machine Learning Techniques | Dr. M. Vishnu Vardhana Rao | International Journal of Emerging Technologies and Innovative Research (IJETIR) | 2349-5162 | UGC |
| 4 | A Novel Mechanism Identifying and Ranking Commonly News Topics using Social Media Factors through Fuzzy Clustering | Dr. M. Vishnu Vardhana Rao | Mukt Shabd Journal | 2347-3150 | UGC |
| 5 | An Efficient Data Mining Technique for Structural Strength Monitoring System | Dr. M. Vishnu Vardhana Rao | Ingénierie des Systèmes d'Information | 1633-1311 (Print), 2116-7125 (Online) | Scopus |
| 6 | A Machine Learning-based Damage Prediction Techniques for Structural Health Monitoring | Dr. M. Vishnu Vardhana Rao | Turkish Journal of Computer and Mathematics Education (TURCOMAT) | 1309-4653 | Scopus |
| 7 | A Novel Mechanism of Smart IoT Based Agriculture Crop Protection Using IR Sensors | Dr. M. Vishnu Vardhana Rao | Mukt Shabd Journal | 2347-3150 | UGC |