Dr. K. Varada Rajkumar
Designation Professor
Years of Experience 14
Department CSE - AIML
Email Id drvarada@mlrit.ac.in
JNTUH Unique Id 1975-220708-111331
Areas of Specialization Computer Science Engineering
UG Degree BSC Computer Science
PG Degree M.Tech CSE
Ph.D PhD - CSE
Joining Date 01-02-2023
Nature of Association Regular

Dr. K. Varada Rajkumar

Papers Published

  1. Mangalampalli, K. Varada Rajkumar, “Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing,” in IEEE Access, vol. 12, pp. 5373-5392, 2024, doi: 10.1109/ACCESS.2024.3350741. (WOS+SCI, Q1).
  2. Krishna M., Rani B.S.B.P., K. Varada Rajkumar, Daveedu Raju A., Gowri J, “Breast Cancer Prediction by Levaraging Machine Learning Algorithm and Using Adaptive Voting Ensemble Method”, Intelligent Systems and Sustainable Computing. ICISSC 2022. Smart Innovation, Systems and Technologies, vol 363. Springer, Singapore. Doi: https://doi.org/10.1007/978-981-99-4717-1_23. (Scopus)
  3. Mangalampalli, G. R. Karri, K. S. Pokkuluri, K. Varada RajKumar, and G. N. Satish, “SLA based Workflow Scheduling algorithm in Cloud Computing using Haris Hawks optimization”, EAI Endorsed Scal Inf Syst, vol. 10, no. 6, Sep. 2023. Doi: https://doi.org/10.4108/eetsis.4005. (Scopus,Q2)
  4. D. Kothandaraman, N.Praveena, K. Varada Rajkumar, “Intelligent Forecasing of Air Quality and Pollution Predictin Using Machine Learning,” Adsorption Science & Technology., vol. 2022, Airticle ID 5086622, 15 Pages. Doi: 10.1155/2022/5086622. (WOS+SCI,Q2).
  5. K. Varada Rajkumar, V. Pranav, M. Krishna, “Detection of Fake News Using Natural Language Processing Techniques and Passive Aggressive Classifier”, Smart Innovation, Systems and Technologies., 289, pp. 593-601, 2022, doi: 10.1007/978-981-19-0011-2_53.
  6. Sudheer M, Kiran Sree P, G Naga Satish, K. Varada Rajkumar, “An Effective Workflow Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization”, 107(1), pp. 2523-2530, 2022, doi: 10.1149/10701.2523ecst.
  7. K. Varada Rajkumar and D. K. Subrahmanyam, “A Novel Method for Rainfall Prediction and Classification using Neural Networks,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 7, pp. 521–528, 2021, doi: 10.14569/IJACSA.2021.0120760. (WOS+Scopus)
  8. K. Varada Rajkumar and K. Subrahmanyam, “A hybrid aco-cs based optimized KNN classifier algorithm for rainfall detection & prediction,” J. Theor. Appl. Inf. Technol., vol. 99, no. 13, pp. 3280–3291, 2021. (Scopus)
  9. K. Varada Rajkumar and K. Subrahmanyam, “Analysis of principal components and classification enhancement for rainfall prediction,” Indian J. Comput. Sci. Eng., vol. 12, no. 2, pp. 348–361, 2021, doi: 10.21817/indjcse/2021/v12i2/211202047. (Scopus)
  10. K. Varada Rajkumar, A. Yesubabu, and K. Subrahmanyam, “Fuzzy clustering and Fuzzy C-Means partition cluster analysis and validation studies on a subset of CiteScore dataset,” Int. J. Electr. Comput. Eng., vol. 9, no. 4, pp. 2760–2770, 2019, doi: 10.11591/ijece.v9i4.pp2760-2770. (Scopus, Q2)
  11. K. Varada Rajkumar, A. Yesubabu, and K. Subrahmanyam, “Regression and validation analysis on a citescore dataset,” J. Adv. Res. Dyn. Control Syst., vol. 10, no. 5 Special Issue, pp. 265–275, 2018. (Scopus)
  12.  K. Varada Rajkumar, Y. Adimulam, and K. Subrahmanyam, “A critical study and analysis of journal metric ‘CiteScore’, cluster and regression analysis,” Int. J. Eng. Technol., vol. 7, no. 2, pp. 28–32, 2018, doi: 10.14419/ijet.v7i2.7.10251. (Scopus)
  13.  S. Jaya Prakash, K. Varada Rajkumar, and D. Nedunuri, “Dynamic security for multi-user access control in distributed environment,” J. Phys. Conf. Ser., vol. 1228, no. 1, 2019, doi: 10.1088/1742-6596/1228/1/012016. (Scopus)
  14.  K. Varada Rajkumar, K. N. Kumar, M. Krishna, and B. S. B. P. Rani, “Systems Bag for Dynamic Risk Management of Security in a Network,” vol. 8491, pp. 99–101, 2013.

Patents:

S.No Title Design Number Date of Filling Authors
1 Casing for Moving vehicle Number Capturing Device 384858-001 26/04/2023 K Varada Rajkumar

T N S Koti Mani Kumar

S Jayaprakash

Subjects Taught

Python Programming, Java Programming, Problem Solving Using “C”, Object Oriented Programming, Unix Programming, Software Testing Methodologies, Artificial Neural Networks, Data Communications, Cryptography and Network Security, Computer Networks, Data Structures using Python, Cloud Computing, Artificial Intelligence

Books Published

1. Published a book titled “Basic Python Programming for Beginners” in BlueRose Publishers. (978-93-5472-060-4).

2. Published a book title “Mastering Go” in Dream tech Publishers. (978-81-19862-59-7).

Brochure