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Mr. Koduru Hajarathaiah

Assistant Professor, CSE, School of Computing ,Amaravati

Qualification: Ph.D
k_hajarathaiah@av.amrita.edu
Orcid Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Social Networks, Complex Networks, and Machine Learning

Bio Publications Awards FDP / Workshops
Bio

I received the B.Tech. degree in computer science and engineering from JNTUH, Hyderabad, India, in 2007, and the M.Tech. degree in computer science and engineering from JNTUA, Andhra Pradesh, India, in 2010. My Ph.D. in computer Science and engineering from SRM University-AP, Amaravati, India, 2023. My research interests include complex networks and analysis of algorithms, Social networks, and Machine learning. Presently I am working as an assistant professor in the Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amaravati, AP, India.

Publications

Journal Article

Year : 2023

Liver Disease Prediction and Classification using Machine Learning Techniques

Cite this Research Publication : Tokala S, Hajarathaiah K, Gunda SR, Botla S, Nalluri L, Nagamanohar P, Anamalamudi S, Enduri MK. Liver Disease Prediction and Classification using Machine Learning Techniques. International Journal of Advanced Computer Science and Applications. 2023;14(2).

Year : 2023

Algorithms for Finding Influential People with Mixed Centrality in Social Networks

Cite this Research Publication : Hajarathaiah K, Enduri MK, Anamalamudi S, Sangi AR. Algorithms for Finding Influential People with Mixed Centrality in Social Networks. Arabian Journal for Science and Engineering. 2023 Feb 6:1-2.

Publisher : Springer

Year : 2022

Hyperspectral image classification with optimized compressed synergic deep convolution neural network with aquila optimization

Cite this Research Publication : Subba Reddy T, Harikiran J, Enduri MK, Hajarathaiah K, Almakdi S, Alshehri M, Naveed QN, Rahman MH. Hyperspectral image classification with optimized compressed synergic deep convolution neural network with aquila optimization. Computational Intelligence and Neuroscience. 2022 Jul 7;2022.

Year : 2022

Empirical study on citation count prediction of research articles

Cite this Research Publication : Enduri MK, Sankar VU, Hajarathaiah K. Empirical study on citation count prediction of research articles. Journal of Scientometric Research. 2022 May;11(2):155-63.

Year : 2022

Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks

Cite this Research Publication : Hajarathaiah K, Enduri MK, Anamalamudi S, Subba Reddy T, Tokala S. Computing influential nodes using the nearest neighborhood trust value and pagerank in complex networks. Entropy. 2022 May 16;24(5):704.

Year : 2022

Efficient algorithm for finding the influential nodes using local relative change of average shortest path

Cite this Research Publication : Hajarathaiah K, Enduri MK, Anamalamudi S. Efficient algorithm for finding the influential nodes using local relative change of average shortest path. Physica A: Statistical Mechanics and its Applications. 2022 Apr 1;591:126708

Publisher : Elsevier

Year : 2022

Generalization of relative change in a centrality measure to identify vital nodes in complex networks

Cite this Research Publication : Hajarathaiah K, Enduri MK, Dhuli S, Anamalamudi S, Cenkeramaddi LR. Generalization of relative change in a centrality measure to identify vital nodes in complex networks. IEEE Access. 2022 Dec 26;11:808-24.

Publisher : IEEE

Conference Proceedings

Year : 2023

Global Isolating Centrality Measure for Finding Vital Nodes in Complex Networks

Cite this Research Publication : Mohammad B, Enduri MK, Dhuli S, Hajarathaiah K, Chiranjeevi M. Global Isolating Centrality Measure for Finding Vital Nodes in Complex Networks. In2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT) 2023 Apr 8 (pp. 631-636). IEEE

Publisher : IEEE

Year : 2023

A Comparison of Neural Networks and Machine Learning Methods for Prediction of Heart Disease

Cite this Research Publication : Ghongade OS, Reddy SK, Tokala S, Hajarathaiah K, Enduri MK, Anamalamudi S. A Comparison of Neural Networks and Machine Learning Methods for Prediction of Heart Disease. In 2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT) 2023 Jan 19 (pp. 1-7). IEEE.

Publisher : IEEE

Year : 2023

Empirical Analysis of Income Prediction Using Deep Learning Techniques

Cite this Research Publication : Vemulapati J, Bayyana A, Bathula SH, Tokala S, Hajarathaiah K, Enduri MK. Empirical Analysis of Income Prediction Using Deep Learning Techniques. In 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) 2023 Feb 18 (pp. 1-6). IEEE.

Publisher : IEEE

Year : 2022

Find the Spreading Ability of the Influential Nodes using the IC Model in Social Networks

Cite this Research Publication : Hajarathaiah, K., Divvela, K., Attaluri, Y., Chimata, N., Enduri, M.K. and Anamalamudi, S., 2022, December. Find the Spreading Ability of the Influential Nodes using the IC Model in Social Networks. In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 189-193). IEEE.

Publisher : IEEE

Year : 2021

Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value

Cite this Research Publication : Hajarathaiah, K., Enduri, M.K. and Anamalamudi, S., 2022. Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value. In Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021

Publisher : Springer

Awards
  1. I received a silver medal on Research Day 2021 at SRM University-AP.
  2. I received a special momentum award on Research Day 2022 at SRM University-AP.
FDP / Workshops
  1. I attended the workshop on Faculty development programme on Instructional Design and Delivery System conducted by National of technical teachers training and research, Chennai in Sree Vidyanikethan Engineering College (SVEC), Tirupati from 28th to 30th June.
  2.  I attended the AICTE Sponsored QIP short-term course on “Data Analytics and its Applications in Industries” jointly organized by the Dept of CSE & EEE, in IIT(BHU) Varanasi during 14-26 December 2020.
  3. I attended one International Conference on Applied Mathematical Models (ICAMM 2021) online, organized by the Department of Mathematics, PSG College of Technology, Coimbatore, India, from January 7- 9, 2021.
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