Durga Prasad Kavadi

Durga Prasad Kavadi

Dr. Durga Prasad Kavadi

Professor & HOD Department of CSE-AIML

Years of Experience: 20 Years
JNTUH Unique Id: 65150403-220648
AICTE ID: 1-509694337
Areas of Specialization: Machine Learning, Deep Learning and NLP
Programming Languages: C, C++, JAVA, Python
PhD: CSE
Joining Date: 20-12-2024
Nature of Association: Regular
Subject Taught: Machine Learning, Deep Learning, Web Technologies, JAVA, Computer Networks, OS & DBMS, SPM

Papers Published:

SCI JOURNALS:

  1. Durga Prasad Kavadi, Fadi Al-Turjman, Adi Narayana Reddy K, Rizwan Patan, “A Machine Learning Approach for Celebrity Profiling “, International Journal of Ad Hoc and Ubiquitous Computing, 2021, Vol.38 No.1/2/3, pp.111 – 126, DOI: 10.1504/IJAHUC.2021.119091.
  2. Durga Prasad Kavadi, Rizwan Patan, Manikandan Ramachandran, Amir H. Gandomi, Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19, Chaos, Solitons & Fractals, Volume 139, 2020, 110056,ISSN-0960-0779, https://doi.org/10.1016/j.chaos.2020.110056.,

(https://www.sciencedirect.com/science/article/pii/S0960077920304537)

  1. Durga Prasad Kavadi, et al., entitles “A Hybrid Machine Learning Model for Accurate Autism Diagnosis,” in IEEE ACCESS, vol. 12, pp. 194911-194921, 2024, doi: 10.1109/ACCESS.2024.3520009.
  2. Durga Prasad Kavadi, et al., entitles “Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks”, IEEE ACCES, Manuscript ID Access- 2024-47066, 2025.
  3. Durga Prasad Kavadi, et al., entitles “Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse” IEEE ACCESS, 2025, DOI: 10.1109/ACCESS.2025.3532327.

SCOPUS JOURNALS:

  1. Durga Prasad Kavadi, et al., entitles , “A Study on BERT based Combined Approach for Fake News Detection “, Recent Patents on Engineering, Bentham Science Publishers, Oct, 2024, DOI: 10.2174/0118722121300281240823174052, 2024
  2. Durga Prasad Kavadi, Ch. Kavitha, “A Hybrid Deep Learning Model for Fake News Spreaders Detection”, International Journal of Advanced Technology and Engineering Exploration , (Aug,2024)
  3. Durga Prasad Kavadi, Palacharla Ravikumar, Dr.Kamini Srinivasa Rao. (2020). A New Supervised Term Weight Measure for Text Classification. International Journal of Advanced Science and Technology, 29(06), 3115 – 3128. http://sersc.org/journals/index.php/IJAST/article/view/13873. (2020)
  4. Durga Prasad K and D Vasumathi, “Privacy-preserving Data Analysis over Naive Bayesian Classifier for Continuous and Discrete Data”, Journal of Advanced Research in Dynamical & Control Systems ISSN No: 1943-023X Vol. 10, 13, 2018.
  5. K Durga Prasad & D Vasumathi, “Privacy preserving data analysis using decision tree learning algorithm through additive homomorphic encryption” International Journal of Innovative Technology and Exploring Engineering(IJITEE). ISSN: 2278-3075, Volume-8 Issue-4, February 2019, 267-272.
  6. Durga Prasad Kavadi,Adi Narayana Reddy K, Shyama Chandra Prasad. (2020). Prediction of Personalized Medicine using Deep Learning. International Journal of Advanced Science and Technology, 29(05), 10448 – 10455. http://sersc.org/journals/index.php/IJAST/article/view/23639. (2020)
  7. VSai Krishna, K Durga Prasad, A Phaneendra , “A Feature Selection based Approach for Authorship Attribution”- Jour of Adv Research in Dynamical &Control Systems, Volume 12 | Issue 2, Pages: 744-755,DOI: 10.5373/JARDCS/V12I2/S20201091, (2020)
  8. Divanu Sameera, Vedavathi K, Durga Prasad Kavadi. (2020). A Novel Approach for Text Classification using Recurrent Neural Networks. International Journal of Advanced Science and Technology, 29(05), 9371-9386.Retrievedfrom http://sersc.org/journals/index.php/IJAST/article/view/19033., (2020)
  9. International Journal of Distributed and Parallel Systems (IJDPS)-“Generalized Affine Transformation based on Circulant Matrices” Vol.3, No.5, September 2012, ISSN: 2229-3957, Journal eISSN: 0976-9757
  10. Kaipa, Adi & Bulusu, Vishnu vardhan & Koduru, Ramakrishna & Kavadi, Durga. (2014). A hybrid cryptosystem using variable length sub key groups and byte substitution. Journal of Computer Science. 10. 251-254. 10.3844/jcssp.2014.251.254.

UGC JOURNALS:

  • K Durga Prasad & D Vasumathi, “A Survey on Privacy Preserving Data Mining Techniques and Analysis”, International Journal of Management, Technology And Engineering (IJMTE), ISSN: 2249-7455, May, 2018. UGC journal.
  • K. Durga Prasad, Dr. Sujoy Bhattacharya, Pardha Saradhi. N., – “Dealing With Inimitable Issues Found In Software Under Testing “, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 10, October 2013 ,ISSN (Online) : 2278-1021.
  • Kavadi. Durga Prasad, Bandi kalpanadevi, “Analysis of Message Filter in Social Network Issues”, International Journal of Technology and Engineering Science [IJTES], Volume 2[6], pp: 1906-1910, June 2014.

INTERNATIONAL CONFERENCES:

  1. Durga Prasad Kavadi, Jayapal Lande., 2023. Investigating Low & High Transfers Training for Multi-task Face Identification Using a Semi supervised Neuronal Networks. In 2023, 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). Greater Noida, India. DOI: 10.1109/ICACITE57410.2023.10182490, 2023
  2. Durga Prasad Kavadi, Chandra Sekhar Sanaboina, Rizwan Patan, and Amir Gandomi. 2022. N-Gram-Based Machine Learning Approach for Bot or Human Detection from Text Messages. In 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI ’22). Association for Computing Machinery, New York, NY, USA, 80–85. https://doi.org/10.1145/3533050.3533063, 2022
  3. K Durga Prasad and D Vasumathi “Privacy-preserving Naive Bayesian Classifier for Continuous Data and Discrete Data”, International Conference on Artificial Intelligence and Cognitive Computing , Springer- Advances in Intelligent Systems and Computing, 815, https://doi.org/10.1007/978-981-13-1580-0_28., 05 November 2018.
  4. Durga Prasad Kavadi, “An efficient framework for high-quality web service discovery”, 2012, CSI 6th International Conference on Software Engineering, CONSEG 2012. 1-7. 10.1109/CONSEG.2012.6349480.

PATENTS: 6

INTERNATIONAL PATENTS: 2

1. Smart Quarantine Shelters for Potential Risk Patients Using IoT from IP-Australian Government (2020) – Granted

2. Automated Real-Time Driving Behavioural Modelling Analysis and Reporting In Denser Traffic Using Data Mining from IP-Australian Government – Granted (2020)

NATIONAL PATENTS: 4

1. Method of Secure Online Voting Using Middleware Security from IP-Government of India (2019), Published.

2. Computer Implemented Method for Classification of Microcalcification Clusters in Digital Mammograms from IP-Government of India (2020), Published

3. Method for Privacy-Preserving Data Analysis with Additive Homomorphic Public-Key Cryptosystem (2023), Published.

4. Machine learning-based closed-loop mixture of concrete equipment and the method (2023), Published.

COPYRIGHTS: 2

  • Copyright published for the research title “Privacy-Preserving Data Analysis using Decision Tree Learning” from copyright office, Government of India, Diary Number: 21563/2023-CO/L, Registration Number : L-134158/2023 , 2023.
  • Copyright published for the research title “Enhanced Privacy-Preserving Naive Bayes Classifier” from copyright office, Government of India, Diary Number: 479/2024-CO/L, Registration Number: L- 144325/2024, 2024.

BOOKS: 2

  • Privacy-preserving Naive Bayesian Classifier for Continuous Data and Discrete Data, Springer, 2020.
  • Fundamentals of Machine Learning: For Beginners ” with ISBN Number: 978-93-5757-918-6 at Scientific International Publisher. 2023.

BOOK CHAPTERS: 2

  • Covid-19 Symptoms Recognition Using Artificial Intelligence Strategy” for the book – “COVID – 19: The Clinical Management”, Lexicon International Publisher- (A Govt. Recognized organization), 2021

ISBN “978-81-949147-0-9”.

  • Privacy-preserving Naive Bayesian Classifier for Continuous Data and Discrete Data” for the book – “Advances in Intelligent Systems and Computing”, in 2020, Springer Publisher- , Online ISBN : 978-981-13-1580-0.
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