| S No | Name of the Teacher | Year of Registration |
No of Scholars |
| Awarded | Pursuing |
| 1 | Dr R.V.Kishore Kumar | 2020 | 1 | 4 |
| 2 | Dr. M.V.P.Chandra Sekhara Rao | 2014 | 14 | 8 |
| 3 | Dr. Ch.Suneetha | 2014 | 2 | 6 |
| Details of Scholars Obtained Degree under Registered Guides |
| S No | Name of the Teacher | Name of the scholar |
Title of the thesis for scholar | Awarded Year |
| 1 | Dr. M.V.P.Chandra Sekhara Rao | Vinod Babu P | A Comparative and Explainable AI Framework for Fantasy Cricket Team selection using Machine Learning and Optimization Techniques |
DEC 2025 |
| 2 | Dr. M.V.P.Chandra Sekhara Rao | Murari Thejovathi | Predictive Analysis for consumer demand products in fast moving consumer goods(FMCG) Using Hadoop Framework |
NOV 2024 |
| 3 | Dr. M.V.P.Chandra Sekhara Rao | S.R.J.K.Padmini Valli V | Selecting Relevant Features for Text Mining |
JUL 2024 |
| 4 | Dr R.V.Kishore Kumar | A.Sandeep Kumar | PREDICTION OF HEART DISEASE IN ADVANCE USING SUPERVISED
LEARNING TECHNIQUES |
DEC 2023 |
| 5 | Dr. M.V.P.Chandra Sekhara Rao | Gunturi S Raghavendra | A multi-level feature selection framework for prediction of chronic disease using spark technique |
SEP 2023 |
| 6 | Dr. M.V.P.Chandra Sekhara Rao | Irfan Babu Sk | Web mining for Malware detection in distributed systems |
FEB 2023 |
| 7 | Dr. M.V.P.Chandra Sekhara Rao | Kalpana Devi Bai M | Data Mining-Innovation of comprehensive classification rules using soft computing techniques |
MAR 2022 |
| 8 | Dr. M.V.P.Chandra Sekhara Rao | K.Ruth Ramya | An Integrated Multi-Biometric Based Approach to Enhance Data Security in Cloud |
AUG 2021 |
| 9 | Dr. M.V.P.Chandra Sekhara Rao | Prasad Rao K | Multimodel Feature Extraction and Fusion for Emotion Recognition |
MAY 2021 |
| 10 | Dr. Ch.Suneetha | Nagamani Chippada | An efficient Network intrusion Detection based on outlier analysis for secure data communication |
JAN 2021 |
| 11 | Dr. M.V.P.Chandra Sekhara Rao | Sunitha M | An Integrated approach for Deriving High Utility Itemsets and Lossless Condenced Profitable Itemsets |
JAN 2021 |
| 12 | Dr. M.V.P.Chandra Sekhara Rao | Naga Prasanthi K | A frame work to preserve the privacy of data using Hybrid privacy preserving technique |
OCT 2020 |
| 13 | Dr. Ch.Suneetha | Aruna Safali Miriyal | Ensemble Classifier for sentiment analysis using convolutional neural networks |
JAN 2020 |
| 14 | Dr. M.V.P.Chandra Sekhara Rao | Jyothi M | A frame work to preserve the privacy of data using Optimization Techniques |
AUG 2019 |
| 15 | Dr. M.V.P.Chandra Sekhara Rao | Tirapathi Reddy B | Filter based data Deduplication in cloud storage using Dynamic Perfect Hash function |
FEB 2019 |
| 16 | Dr. M.V.P.Chandra Sekhara Rao | Ch.Sudha Sree | An Efficient Noise Insensitive Invariant Methods for Texture Classification |
OCT 2018 |
| 17 | Dr. M.V.P.Chandra Sekhara Rao | Kalyani G | A Unified Framework for privacy preserving data mining using computational intelligence techniques |
AUG 2018 |
| Details of Scholars working under Registered Guides |
| S No | Name of the Teacher | Name of the scholar |
Title of the thesis for scholar | Registered Year |
| 1 | Dr. M.V.P.Chandra Sekhara Rao | Y.Suresh | An efficient and ensemble model to predict diabetes using data mining techniques | JUL 2022 |
| 2 | Dr. M.V.P.Chandra Sekhara Rao | V. Sudhakar | Heart Disease Prediction using Ensemble techniques in Machine Learning | JUL 2022 |
| 3 | Dr. M.V.P.Chandra Sekhara Rao | Ms. Madhuri Nallamothu | Knee osteoarthritis by using Deep Learning and GAN Architecture | MAY 2023 |
| 4 | Dr. M.V.P.Chandra Sekhara Rao | A V A Nagendra Kumar G | Enhancing Adversarial Robustness vis Score-Based Optimization using Metaheuristic Algorithms | JUL 2023 |
| 5 | Dr. M.V.P.Chandra Sekhara Rao | M Asha Arna sheela | An optimized transformer based network for human activity recognition for suspicious actions detection in in surveillance footage | JUL 2023 |
| 6 | Dr. M.V.P.Chandra Sekhara Rao | Ms V Amani | Machine Learning | OCT 2024 |
| 7 | Dr. M.V.P.Chandra Sekhara Rao | Ms. Bheema Sireesha | Agriculture Domain using Deep Learning Technology | OCT 2024 |
| 8 | Dr. M.V.P.Chandra Sekhara Rao | Ms. Dharenya V | Cyber Security | FEB 2025 |
| 9 | Dr R.V.Kishore Kumar | N.Sunil Kumar | Machine Learning | SEP 2023 |
| 10 | Dr R.V.Kishore Kumar | Naga Chandra Sekhar Jaladi | DEEP LEARNING BASED COMPRESSION MODEL FOR COLOR IMAGES | NOV 2023 |
| 11 | Dr R.V.Kishore Kumar | A.Swathi | Cloud Computing | OCT 2024 |
| 12 | Dr R.V.Kishore Kumar | Y.Vasanthi | Federated Learning | NOV 2025 |
| 13 | Dr. Ch.Suneetha | Dhana Lakshmi D S S | Frequent Item-set Mining over Streaming Data: Exploration of fast, scalable and effective mining Models | JAN 2014 |
| 14 | Dr. Ch.Suneetha | Nagaraju Tirukoti | Feature Extraction From High Resolution Remote Sensing Images using Distributed Framework | JAN 2014 |
| 15 | Dr. Ch.Suneetha | Nischal Ramineni | Cloud Computing | JAN 2014 |
| 16 | Dr. Ch.Suneetha | Sekhar Reddy Golamar | Design and analysis of UML-based data warehouse for increasing performanace and suitable for most real time critical applications | JAN 2014 |
| 17 | Dr. Ch.Suneetha | Thirumaleswari Gurra | NULLSTEG:An Innovative text steganographic technique to hide different files | JAN 2014 |
| 18 | Dr. Ch.Suneetha | Kapala Kavitha | Fuzzy C-means clustering and RCNN model for sacastic detection and classification | JAN 2016 |
