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Academics > Departments

Computer Science & Engineering (CSE)

Dr. V V R Maheswara Rao

Professor & Dean Statutory Bodies |

deansb@svecw.edu.in

Dr. V. V. R. Maheswara Rao is a distinguished Professor in the Department of Computer Science and Engineering. He earned his M.Tech. in Computer Science and Engineering from JNTUK and later obtained his Ph.D. from Acharya Nagarjuna University, specializing in Web Mining with Soft Computing Techniques.

With a strong research background, he has published over 168 research articles in various international journals and conferences. Additionally, Dr. Maheswara Rao has filed and published four patents in the fields of Data Science and Machine Learning.

Driven by a deep passion for Data Science and Machine Learning, he is more than just a professor—he is a mentor, inspiring and shaping young minds through his extensive experience and profound expertise.

Dr. Rao’s illustrious career spans 21 years of dedicated teaching, 15 years of pioneering research, and 5 years of industry experience.

Research Profile:
His scholarly work speaks volumes, with 168 research papers, 76 of which are indexed by Scopus and 38 by Web of Science. His research interests span Data Mining, Web Mining, Cloud Computing, Big Data Analytics, Data Science, Artificial Intelligence, and Machine Learning, reflecting his insatiable curiosity and commitment to advancing technology.

Professional Affiliations:

  • Senior Member, IEEE
  • Member, IEEE Computational Intelligence Society
  • Associate Member, IE
  • Life Member, CSI
  • Life Member, ISTE

Ph.D. Degree Awardees(02)

  1. Dr. N Silpa – Awarded from Centurion University of Technology and Management, Odisha, India in the year 2024.
      • Thesis Title: A COMPREHENSIVE BIG DATA ANALYTICS FRAMEWORK TO INVESTIGATE WEB USER BEHAVIOUR WITH MACHINE LEARNING APPROACH
  2. Dr. A. Kranthi – Awarded from James Cook University, Australia in the year 2024.
      • Thesis Title:   ENHANCING MANAGEMENT SYSTEMS TO SUPPORT ONLINE LEARNING USING ACADEMAGOGY

 

Ph.D. Pursuing Students (02)

  1. Mr. M Venkata Durga Rao from JNTUK Kakinada, 2023 
  2. Ms. B Revathi from  JNTUK Kakinada, 2024
Journal Publications: 26 (13 SCI + 13 Scopus) SCI Journal Papers: 13
  1. Maheswara Rao V V R, et al., “Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing,” International Journal of Computational Intelligence Systems, vol. 18, p. 148, (2025). https://doi.org/10.1007/s44196-025-00882-9.
  2. Maheswara Rao V V R, et al., “A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization”, J Grid Computing 23, 7 (2025). https://doi.org/10.1007/s10723-024-09791-1
  3. Maheswara Rao V V R, et al., “An AI-Driven Approach for Real-Time Noise Level Monitoring and Analysis.” International Journal of Advanced Computer Science & Applications 16.8 (2025).
  4. Maheswara Rao V V R, et al., “Workload prioritization and optimal task scheduling in cloud: introduction to hybrid optimization algorithm.” Wireless Netw 31, 945–964 (2025). https://doi.org/10.1007/s11276-024-03793-3
  5. Maheswara Rao V V R, et al., “Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access, 12, 186229-186245. (2025). https://doi.org/10.1109/ACCESS.2024.3474012
  6. Maheswara Rao V V R, et al., “ProtienCNN‐BLSTM: An efficient deep neural network with amino acid embedding‐based model of protein sequence classification and biological analysis.” Computational Intelligence, 40(4).(2024). https://doi.org/10.1111/coin.12696
  7. Maheswara Rao V V R, et al., “AI-driven drowned-detection system for rapid coastal rescue operations.”  Inf. Res. 32, 143–150 (2024). https://doi.org/10.1007/s41324-023-00549-7
  8. Maheswara Rao V V R, et al., “Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model.” Scientific Reports, 14(1).(2024). https://doi.org/10.1038/s41598-024-54927-8
  9. Maheswara Rao V V R, et al., “A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization.” Sci Rep 14, 4299 (2024). https://doi.org/10.1038/s41598-024-54212-8
  10. Maheswara Rao V V R, et al., “Classify and predict web user behaviour using butterfly optimization and recurrent neural network.” Multimed Tools Appl83, 66319–66341 (2024). https://doi.org/10.1007/s11042-024-18201-3
  11. Maheswara Rao V V R, et al., “A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques.” Sci Rep 14, 1337 (2024). https://doi.org/10.1038/s41598-024-51466-0
  12. Maheswara Rao V V R, et al.,  “A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems, e8. (2023). https://doi.org/10.4108/eetsis.v10i3.2697
  13. Maheswara Rao V V R, et al., “Intelligent exploration strategy for a mobile robot to reduce the repeated searches in an unknown environment.” Int J Syst Assur Eng Manag (2022). https://doi.org/10.1007/s13198-022-01776-1
Scopus indexed Journal Papers: 13
  1. Maheswara Rao V V R, et al., “Transfer Learning Strategies for Optimising Facial Recognition Accuracy.” Journal of Theoretical and Applied Information Technology 103.17 (2025).
  2. Maheswara Rao V V R, et al., “Optimization of Neural Network Classifiers by Leveraging the Sequential Feature Engineering for Robust Water Quality Prediction System.” Proceedings on Engineering Sciences, 7(1), 1741–1750, (2025). https://doi.org/10.24874/pes07.01b.008
  3. Maheswara Rao V V R, et al., “Optimizing hyperparameters for credit card fraud detection with nature-inspired metaheuristic algorithms in machine learning,” J. Inst. Eng. India Ser. B, (2025). https://doi.org/10.1007/s40031-025-01207-2
  4. Maheswara Rao V V R, et al., “Image quality evaluation: evaluation of the image quality of actual images by using machine learning models”, Bulletin of Electrical Engineering and Informatics, 13(2), 1172–1182, (2024). https://doi.org/10.11591/eei.v13i2.5947
  5. Maheswara Rao V V R, et al., “You only look once model-based object identification in computer vision”, IAES International Journal of Artificial Intelligence, 13(1), 827, (2024). https://doi.org/10.11591/ijai.v13.i1.pp827-838
  6. Maheswara Rao V V R, et al., “Revolutionizing Feature Engineering for Robust Ensemble Machine Learning by Hybridizing MRMR Insight and Chi2 Independence”, Proceedings on Engineering Sciences, 6(3), 1337–1348, (2024). https://doi.org/10.24874/pes.si.24.03.017
  7. Maheswara Rao V V R, et al., “Identity-Based Privacy-Preserving Anonymous Authentication Access Control for Secure Cloud Computing”, Proceedings on Engineering Sciences, 6(3), 1327–1336, (2024). https://doi.org/10.24874/pes.si.24.03.015
  8. Maheswara Rao V V R, et al., “Secure User Authentication in the Cloud: Leveraging Face Recognition Technology”, Proceedings on Engineering Sciences, 6(4), 1849–1856, (2024). https://doi.org/10.24874/pes.si.25.03b.017
  9. Maheswara Rao V V R, et al., “Smart Hybrid Models for Improved Breast Cancer Detection”, Proceedings on Engineering Sciences, 6(4), 1731–1740, (2024). https://doi.org/10.24874/pes.si.24.03.006
  10. Maheswara Rao V V R, et al., “An Optimal Machine Learning Model Based on Selective Reinforced Markov Decision to Predict Web Browsing Patterns” Journal of Theoretical and Applied Information Technology, (2023).
  11. Maheswara Rao V V R, et al., “Machine Learning-Based Optimal Segmentation System for Web Data Using Genetic Approach.” Journal of Theoretical and Applied Information Technology 100.11 (2022).
  12. Maheswara Rao V V R, et al., “Enriched Big Data Pre-Processing Model with Machine Learning Approach to Investigate Web User Usage Behaviour.” Vol. 12 No. 5 (2021). DOI: 10.21817/indjcse/2021/v12i5/211205050.
  13. Maheswara Rao V V R, et al., “A Complete Research on Techniques & Technologies of Big Web Data Preparation to Web User Usage Behaviour”,  International Journal of Recent Technology and Engineering (IJRTE), 8(2S11), 2356–2367, (2009). https://doi.org/10.35940/ijrte.b1269.0982s1119

Books & Book Chapters: 19 (01 +18)

  1. Maheswara Rao V V R, et al. published a text Book entitled “Data Science for Engineers” in Scientific International Publishing House (SIPH), ISBN 978-93-5757-914-8, 2024.

  2. Maheswara Rao V V R, et al., “Quantum-Inspired Fermionic Operator Representation for Interpreting Human Cognition Through Smile Classification.” In: Koganti, K.K., E., S.R., Gupta, N. (eds) Advanced Technologies in Electronics, Communications and Signal Processing. ICATECS 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 619. Springer, Cham. (2026). https://doi.org/10.1007/978-3-031-94280-8_32

  3. Maheswara Rao V V R, et al., “Enforcing the Machine Learning Algorithms to Contemplate on Cough Sound Codification.” In: Lin, F., Brigui, I., Kesswani, N., Mishra, M., Ray, A. (eds) Applications of Computational Intelligence in Management and Mathematics I. ICCM 2023. Springer Proceedings in Mathematics & Statistics, vol 492. Springer, Cham. (2025). https://doi.org/10.1007/978-3-031-84517-8_6

  4. Maheswara Rao V V R, et al., “Deep Learning Strategies for Multiclass Skin Disease Classification.” In: Pareek, P., Mishra, S., Reis, M.J.C.S., Gupta, N. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 597. Springer, Cham. (2025). https://doi.org/10.1007/978-3-031-77075-3_18

  5. Maheswara Rao V V R, et al., “Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming.” In: Pareek, P., Mishra, S., Reis, M.J.C.S., Gupta, N. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 597. Springer, Cham. (2025). https://doi.org/10.1007/978-3-031-77075-3_8

  6. Maheswara Rao V V R, et al., “Construction of Cascaded Deep Neural Network with Optimization-Based Feature Selection in CT Images for Detecting Laryngeal Cancer.” In: Deepak, B.B.V.L., Bahubalendruni, M.R., Parhi, D., Biswal, B.B. (eds) Recent Advancements in Product Design and Manufacturing Systems. IPDIMS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. (2025). https://doi.org/10.1007/978-981-97-6732-8_39

  7. Maheswara Rao V V R, et al., “Preeminent Sign Language System by Employing Mining Techniques.” In: Joby, P.P., Alencar, M.S., Falkowski-Gilski, P. (eds) IoT Based Control Networks and Intelligent Systems. ICICNIS 2023. Lecture Notes in Networks and Systems, vol 789. Springer, Singapore. (2024). https://doi.org/10.1007/978-981-99-6586-1_39

  8. Maheswara Rao V V R, et al., “An Optimized Ensemble Machine Learning Framework for Multi-class Classification of Date Fruits by Integrating Feature Selection Techniques.” In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, Cham. (2024). https://doi.org/10.1007/978-3-031-48888-7_2

  9. Maheswara Rao V V R, et al., “TextRank – Based Keyword Extraction for Constructing a Domain-Specific Dictionary.” In: Pareek, P., Gupta, N., Reis, M.J.C.S. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 536. Springer, Cham. (2024). https://doi.org/10.1007/978-3-031-48888-7_29

  10. Maheswara Rao V V R, et al., “Exploring Public Perception and Opinion Trends on Agnipath Scheme Through Sentiment Analysis and Topic Modeling of Tweets.” In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 421. Springer, Cham. (2024). https://doi.org/10.1007/978-3-031-51167-7_71

  11. Maheswara Rao V V R, et al., “Developing Preeminent Model Based on Empirical Approach to Prognose Liver Metastasis.” In: Karuppusamy, P., Perikos, I., García Márquez, F.P. (eds) Ubiquitous Intelligent Systems. Smart Innovation, Systems and Technologies, vol 243. Springer, Singapore. (2022). https://doi.org/10.1007/978-981-16-3675-2_51

  12. Maheswara Rao V V R, et al., “An Enhanced Machine Learning Classification System to Investigate the Status of Micronutrients in Rural Women.” In: Mahapatra, R.P., Peddoju, S.K., Roy, S., Parwekar, P., Goel, L. (eds) Proceedings of International Conference on Recent Trends in Computing . Lecture Notes in Networks and Systems, vol 341. Springer, Singapore. (2022). https://doi.org/10.1007/978-981-16-7118-0_4

  13. Maheswara Rao V V R, et al., “Analyzing Student Reviews on Teacher Performance Using Long Short-Term Memory.” In: Raj, J.S., Kamel, K., Lafata, P. (eds) Innovative Data Communication Technologies and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 96. Springer, Singapore. https://doi.org/10.1007/978-981-16-7167-8_39

  14. Maheswara Rao V V R, et al., “An Intelligent System for Web Usage Data Preprocessing.” In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. CCSIT 2011. Communications in Computer and Information Science, vol 131. Springer, Berlin, Heidelberg. (2011). https://doi.org/10.1007/978-3-642-17857-3_47

  15. Maheswara Rao, V.V.R., Valli Kumari, V. “A Novel Lattice Based Research Frame Work for Identifying Web User’s Behavior with Web Usage Mining.” In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. (2010). https://doi.org/10.1007/978-3-642-15766-0_14

  16. Maheswara Rao, V.V.R., Kumari, V.V., Raju, K.V.S.V.N. “Study of Visitor Behavior by Web Usage Mining.” In: Das, V.V., et al. Information Processing and Management. BAIP 2010. Communications in Computer and Information Science, vol 70. Springer, Berlin, Heidelberg. (2010). https://doi.org/10.1007/978-3-642-12214-9_31

  17. Srinivas, L. V., Shankar, R. S., Deshai, N., Sravani, K., & Maheswararao, V. (2024). Empowering Inclusive Communication: Advancements in Wearable Technology with GloSign—A Glove-Based Solution for Seamless Sign Language Interaction. In CRC Press eBooks (pp. 492–501). https://doi.org/10.1201/9781003529231-74
  18. Shankar, R. S., Mahesh, G., Maheswararao, V., Silpa, N., & Murthy, K. V. S. (2024). Mitigating Misinformation: An advanced analytics framework for proactive detection of fake news to minimize misrepresentation risks. In CRC Press eBooks (pp. 289–298). https://doi.org/10.1201/9781003529231-45
  19. Srinivas, L. V., Shankar, R. S., Deshai, N., Sravani, K., & Maheswararao, V. (2024b). Empowering Inclusive Communication: Advancements in Wearable Technology with GloSign—A Glove-Based Solution for Seamless Sign Language Interaction. CRC Press eBooks, 492–501. https://doi.org/10.1201/9781003529231-74

  1. Maheswara Rao V V R, et al., “A Robust Inception-V3 Deep Learning Framework for Accurate Multiclass Classification of Medicinal Plant Leaves to Promote Herbal Healthcare,” 2025 Third International Conference on Networks, Multimedia and Information Technology (NMITCON), BENGALURU, India, 2025, pp. 1-7, doi: 10.1109/NMITCON65824.2025.11188125. https://ieeexplore.ieee.org/document/11188125

  2. Maheswara Rao V V R, et al., “A Resilient Water Quality Investigation System using Support Vector Machines and Intelligent Feature Engineering,” 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2025, pp. 1222-1228, doi: 10.1109/ICSCDS65426.2025.11167433.
    https://ieeexplore.ieee.org/document/11167433

  3. Maheswara Rao V V R, et al., “Efficient Alzheimer’s Classification Leveraging Deep Learning Models on MRI Data with Layer Optimization and Early Stopping,” 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2025, pp. 1-9, doi: 10.1109/AMATHE65477.2025.11080795.
    https://ieeexplore.ieee.org/document/11080795

  4. Maheswara Rao V V R, et al., “Unified Model for Crop Optimization: Leveraging Deep Learning and XGBoost for Optimized Crop Management,” 2025 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India, 2025, pp. 1-6, doi: 10.1109/ICECCC65144.2025.11064279. https://ieeexplore.ieee.org/document/11064279

  5. Maheswara Rao V V R, et al., “Robust Hybrid CNN-BiGRU based Surveillance System for Wild Animal Detection and Tracking to Enhance Rural Safety and Forestry,” 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India, 2025, pp. 1-8, doi: 10.1109/ICDCECE65353.2025.11034941. https://ieeexplore.ieee.org/document/11034941

  6. Maheswara Rao V V R, et al., “Mitigating security challenges in edge computing: Attacks, defence strategies, and algorithms,” in Proc. 3rd Int. Conf. Intell. Data Commun. Technol. Internet Things (IDCIoT), Bengaluru, India, 2025, pp. 462–470, https://doi.org/10.1109/IDCIOT64235.2025.10914902

  7. Maheswara Rao V V R, et al., “Optimizing Multiclass Classification for Obesity Type Prediction Using Robust Machine Learning and Feature Selection to Enhance Healthcare,” 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10991266. https://ieeexplore.ieee.org/document/10991266

  8. Maheswara Rao V V R, et al., “A Robust Multi-Class Obesity Classification and Risk Analysis System by Leveraging the Potentiality of Machine Learning Techniques,” 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10990877. https://ieeexplore.ieee.org/document/10990877

  9. Maheswara Rao V V R, et al., “A Potential Research for Maximizing Predictive Power in Neural Networks through the Integration of Feature Engineering in Diabetes Prediction,” 2024 5th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2024, pp. 1-8, doi: 10.1109/GCAT62922.2024.10924015. https://ieeexplore.ieee.org/document/10924015

  10. Maheswara Rao V V R, et al., “Investigation on Leveraging Optimal Machine Learning Models for Air Quality Assessment to Promote Environmental Health and Sustainability,” 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA), India, 2024, pp. 307-312, doi: 10.1109/ICSCSA64454.2024.00055. https://ieeexplore.ieee.org/document/10917637

  11. Maheswara Rao V V R, et al., “A Reliable Ensemble Machine Learning Framework to Predict MBTI Personality Trait for Personalized Career Guidance by Integrating Social Media Data,” 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI), Greater Noida, India, 2024, pp. 1-6, doi: 10.1109/ICSCAI61790.2024.10866530. https://ieeexplore.ieee.org/document/10866530

  12. Maheswara Rao V V R, et al., “An Innovative Machine Learning System for Optimal Multi-Class Classification of Date Fruits by Leveraging Backward Feature Engineering to Promote Sustainable Agriculture,” 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2024, pp. 1-7, doi: 10.1109/ICIICS63763.2024.10859468. https://ieeexplore.ieee.org/document/10859468

  13. Maheswara Rao V V R, et al., “Face and Hand Gesture Recognition for Sign Languages to Support Non-Verbal Expressions using Convolutional Neural Network,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1140-1146, doi: 10.1109/ICACCS60874.2024.10717085. https://ieeexplore.ieee.org/document/10717085

  14. Maheswara Rao V V R, et al., “Deep Learning-Based Classification of Skin Lesions for Enhanced Dermatological Diagnosis,” 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2024, pp. 1-6, doi: 10.1109/NMITCON62075.2024.10698908. https://ieeexplore.ieee.org/document/10698908

  15. Maheswara Rao V V R, et al., “Investigating the Efficacy of Ensemble Machine Learning Models in Multi-Class Categorization of Web Pages for Spotlighting User Interests,” 2024 2nd World Conference on Communication & Computing (WCONF), RAIPUR, India, 2024, pp. 1-7, doi: 10.1109/WCONF61366.2024.10692090. https://ieeexplore.ieee.org/document/10692090

  16. Maheswara Rao V V R, et al., “Fine-Tuning Student Success Prediction Through Ensemble Models Intertwined with Feature Engineering to Leverage Academic Interventions,” 2024 International Conference on Data Science and Network Security (ICDSNS), India, 2024, pp. 1-7, doi: 10.1109/ICDSNS62112.2024.10690978. https://ieeexplore.ieee.org/document/10690978

  17. Maheswara Rao V V R, et al., “Federated Learning on Blockchain Networks,” 2024 5th International Conference for Emerging Technology (INCET), Belgaum, India, 2024, pp. 1-6, doi: 10.1109/INCET61516.2024.10593594. https://ieeexplore.ieee.org/document/10593594

  18. Maheswara Rao V V R, et al., “Ensemble Learning Applications and Visualizations Taxonomy of Blockchain Data,” 2024 Second International Conference on Data Science and Information System (ICDSIS), Hassan, India, 2024, pp. 1-8, doi: 10.1109/ICDSIS61070.2024.10594350. https://ieeexplore.ieee.org/document/10594350

  19. Maheswara Rao V V R, et al., “An Object Detection Framework and Deep Learning Models Used to Detect the Potholes on the Streets,” 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), India, 2024, pp. 1-7, doi: 10.1109/AMATHE61652.2024.10582091. https://ieeexplore.ieee.org/document/10582091

  20. Maheswara Rao V V R, et al., “A Plausible RNN-LSTM based Profession Recommendation System by Predicting Human Personality Types on Social Media Forums,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 850-855, doi: 10.1109/ICCMC56507.2023.10083557.

  21. Maheswara Rao V V R, et al., “An Enriched Employee Retention Analysis System with a Combination Strategy of Feature Selection and Machine Learning Techniques,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 142-149, doi: 10.1109/ICICCS56967.2023.10142473.

  22. Maheswara Rao V V R, et al., “Raitu Vrudhi – An Android based Mobile Application for Agro-Marketing,” 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170078.

  23. Maheswara Rao V V R, et al., “An Innovative Machine Learning based Heart Disease Assessment System by Sequential Feature Selection Approach,” 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-7, doi: 10.1109/CONIT59222.2023.10205817.

  24. Maheswara Rao V V R, et al., “A Robust Team Building Recommendation System by Leveraging Personality Traits Through MBTI and Deep Learning Frameworks,” 2023 International Conference on IoT, Communication and Automation Technology (ICICAT), Gorakhpur, India, 2023, pp. 1-6, doi: 10.1109/ICICAT57735.2023.10263718.

  25. Maheswara Rao V V R, et al., “Story Telling with Basic and Advanced Data Visualizations of Blockchain Technologies,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 1254-1259, doi: 10.1109/ICAISS58487.2023.10250661.

  26. Maheswara Rao V V R, et al., “Empowering Diabetic Prediction through MRMR-Driven Feature Selection and Robustness of Ensemble Machine Learning,” 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2023, pp. 1-7, doi: 10.1109/ICIICS59993.2023.10421410.

  27. Maheswara Rao V V R, et al., “A Robust XG-Boost Machine Learning Model for Water Quality Estimation System by Leveraging with Chi-Square Forward Sequential Feature Selection Technique,” 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), Ballari, India, 2023, pp. 1-7, doi: 10.1109/AIKIIE60097.2023.10390370.

  28. Maheswara Rao V V R, et al., “An Optimized Ensemble Machine Learning Framework for Water Quality Assessment System by Leveraging Forward Sequential Minimum Redundancy Maximum Relevance Feature Selection Method,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2023, pp. 1-8, doi: 10.1109/ICSES60034.2023.10465554.

  29. Maheswara Rao V V R, et al., “Multi-label and Multi-class Classification on a Custom Dataset using Convolution Neural Networks,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 576-579, doi: 10.1109/ICICCS56967.2023.10142828.

  30. Maheswara Rao V V R and Dr. Mahesh Gadiraju “Primal-Dual Parallel Algorithm for Optimal Content Delivery in Cloud CDNs”, published in IEEE International Conference on Computational Intelligence and Computing Research, December 2017. DOI: 10.1109/ICCIC.2017.8524392. Scopus Indexed

  31. Maheswara Rao V V R and Dr. V. Valli Kumari, “An Efficient Hybrid Predictive Model to Analyze the Visiting Characteristics of Web User using Web Usage Mining” presented in an International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom 2010 Oct 16-17, 2010, Kottayam, India and proceedings published in IEEE Xplore, ISBN: 978-0-7695-4201-0 pp. 225-230, 2010.

His impact extends far beyond the classroom. He has led and executed three pivotal projects funded by DST, showcasing his ability to turn ideas into reality. 

  • A Comprehensive Approach to Analyze and Stimulate outcomes of Research and Development activities in Universities, Funded by DST, worth of 32 Lakhs, Period 2018 – 2021.
  • Nutritional Security And Economic Empowerment Of Rural Women Throuh Food Based Interventions And Ass Media (RADI Vishnu 90.4) Approach, , Funded by DST, worth of 27 Lakhs, Period 2015 – 2018.
  • Implementation of improved KNN classification and clustering algorithm as a tools using mining, Funded by DST, worth of 17 Lakhs, Period 2012 – 2015.

Dr. Maheswara Rao has also secured three patents in the interdisciplinary realm of Deep Learning, showcasing his ability to innovate in diverse fields. He’s not just a researcher but also an active member of various journals and conferences, lending his expertise as an Editorial Member and Reviewer.

  1. AN IOT Garbage Segregator & Bin Level Indicator Device
    1. Shri Vishnu Engineering College For Women(A)
    2. Dr. V V R Maheswara Rao
    3. Dr. G Durga Prasad
    4. N Silpa
    5. Dr. S M Padmaja
    6. N Praveen Kumar.
  2. Sun Tracking Solar Panel Device,
    1. Shri Vishnu Engineering College For Women(A)
    2. Dr. V V R Maheswara Rao
  3. A Combined Approach of DWT-DCT for Blind Medical Image Watermarking

    1. Shri Vishnu Engineering College For Women(A)
    2. S M Padmaja 3. Dr. V V R Maheswara Rao 4. N. Silpa 5. Lakshman Kumar Dangeti 6. R. Pradeep Sudha 7. B. Mahendra ChandBade 8. P. Sricharani 9. K. Janaki Siva Rama Raju

  4. Autonomous Hybrid CNN-Bi GRU Deep Learning System For Real-Time Wild Animal Surveillance and Instant Alerts
    1. Shri Vishnu Engineering College For Women(A)
    2. Dr. N.Silpa
    3. Dr. V V R Maheswara Rao
    4. Dr. Ramachandra Rao Kurada
    5. G. S.L.N.V.S.Sindhuja
    6. Dr. S M Padmaja
    7. Dr. G. Durga Prasad
  • Reviewer for Springer’s “International Journal of Wireless Information Networks”
  • Reviewer for international Journal of Innovative Research in Advanced Engineering (IJIRAE) https://www.ijirae.com/reviewer-board
  • Reviewer for “Asian Journal of Current Research”
  • Reviewer for “Evolving Systems”
 

Dean, Statutory Bodies and IQAC Coordinator: Oversees statutory bodies’ functioning, ensures regulatory compliance, formulates quality benchmarks, conducts academic audits, coordinates IQAC activities, prepares reports, and promotes continuous quality improvement to strengthen institutional governance and academic excellence.

  • Affiliations from AICTE, UGC, JNTUK Kakinada :

    Manages institutional affiliations and statutory compliance with AICTE, UGC, and JNTUK; prepares and renews applications, coordinates inspections, maintains documentation, and ensures adherence to all academic and regulatory requirements for program recognition.

  • Accreditations from NBA, NAAC, and Others:

    Leads accreditation processes for NBA, NAAC, and other agencies; oversees SAR/SSR preparation, departmental mentoring, data validation, peer team coordination, and continuous quality improvement for institutional and program-level excellence.

  • Rankings – NIRF, AISHE, CII, India Today, The Week, Career 360 and Others:

    Coordinates institutional participation in NIRF, AISHE, CII, and other rankings; compiles and validates data, ensures timely submission, analyzes outcomes, and implements improvement strategies to enhance institutional performance and national standing.

  • Web Master of Institute Website:

    Manages and maintains the institute’s official website, ensures timely updates of academic and administrative information, oversees content accuracy and security, coordinates with departments for data integration, and enhances digital visibility through user-friendly web design and compliance.

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