faculty-profile

Dr. Kanaparthi Suresh Kumar

info

Associate Professor

Computer Science and Engineering

National Institute of Technology Warangal

12 Years

web-pages

Cricket, Shuttle Badminton, Music, Travel, and Photography

Computer Vision and Image Processing, Machine and Deep learning

Mail: k.suresh@sru.edu.in

Educational
Qualifications
(From Highest)

2021

Ph. D.(National Institute of Technology Warangal)

2012

M. Tech (Andhra University College of Engineering, Visakhapatnam)

2006

B. Tech (JNTU College of Engineering, Hyderabad)

Professional
Experience

2023

Associate Professor at SR University, Warangal, from 2023-07-01 to .

2022

Associate Professor at Malla Reddy University Hyderabad, from 2022-06-01 to 2023-06-30.

2021

Assistant Professor at Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, from 2021-07-07 to 2022-05-30.

2014

Research Scholar (Full-time) at National Institute of Technology Warangal, from 2014-06-16 to 2021-06-30.

2013

Project Associate at National Institute of Technology Warangal, from 2013-09-26 to 2014-05-31.

2012

Assistant Professor at SRK Institute of Technology Vijayawada, from 2012-09-03 to 2013-09-21.

Student
Supervision

1

Ph.D

12

PG

26

UG

Key Publications

Suresh Kumar Kanaparthi, U.S.N.Raju, P. Shanmukhi, G. Khyathi Aneesha, Mohammed Ehsan Ur Rahman “Image Retrieval by Integrating Global Correlation of Color and Intensity Histograms with Local Texture Features”, Multimedia Tools and Applications, Springer, pp. 1-33, (2019). https://doi.org/10.1007/s11042-019-08029-7

U.S.N. Raju, K. Suresh Kumar, Pulkesh Haran, Ramya Sree Boppana, Niraj Kumar, “Content-based Image retrieval using Local texture features in distributed environment” International Journal of Wavelets Multiresolution and Information Processing, 1941001 no. 01(2020):1941001. https://doi.org/10.1142/S0219691319410017

Raju, U. S. N., Suresh Kumar Kanaparthi, Mahesh Kumar Morampudi, Sweta Panigrahi, and Debanjan Pathak. "Big Image Data Processing: Methods, Technologies, and Implementation Issues." In Computer Vision and Recognition Systems, pp. 69-91. Apple Academic Press, 2022. https://doi.org/10.1201/9781003180593

Kanaparthi, S.K., Raju, U.S.N. “Content based image retrieval on big image data using local and global features”. International Journal of Information Technology, (Singapure) 14, 49-68, (2022). https://doi.org/10.1007/s41870-021-00806-8

Suresh Kanaparthi, U.S.N.Raju “A Comprehensive Content based Image Retrieval Systems using Hadoop Mapreduce Framework”, Open Access International Journal of Science and Engineering, Vol.3, Issue. 5, May 2018, ISSN: (Online) 2456-3293

Kanaparthi Suresh Kumar, U.S.N.Raju, A. Nagaraja Rao. “Weighted Finite Automata for Regularity Recognition in Textures”, In 2018 4th International Conference on Computing Communication and Automation (ICCCA), pp. 1-6. IEEE, 2018, INSPEC Accession Number: 18868468, DOI: 10.1109/CCAA.2018.8777694.

U.S.N.Raju, K. Suresh Kumar, Vedpratap Mehta, Rishabh Sharma, and SushanthKuli. "Cluster based block processing for gigantic images: Dimension and size", In 2017 4th International Conference on Image Information Processing (ICIIP), pp. 1-5. IEEE, 2017.DOI: 10.1109/ICIIP.2017.8313778.

U.S.N.Raju, Kothuri Sai Kiran, Meena G. Kamal, Vinay Nikhil Pabba, Suresh Kanaparthi, “Distributed Processing for Content-Based Lecture Video Retrieval on Hadoop Framework”, International Journal of Computer and Information Engineering, Publisher: World Academy of Science, Engineering and Technology, Vol: 9, No: 3, 2015, ISNI: 0000000091950263.

Kanaparthi S.K., Raju U.S.N. (2022) “Image Retrieval Using Local Majority Intensity Patterns” In Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 209, pp. 601-618, Springer, Singapore. https://doi.org/10.1007/978-981-16-2126-0_48

Kishor Netalkar Rohan, Hilol Barman, U.S.N. Raju, Suresh Kumar Kanaparthi, Harika Ala. “Content Based Image Retrieval using Frequency Domain Featrues: Zigzag Scanning of DCT Coefficients”, In 2021 International Conference on Artifical Intelligence and Smart Systems (ICAIS), pp. 1535-1540, IEEE, 2021 DOI: 10.1109/ICAIS50930.2021.9396008

Suresh Kumar Kanaparthi, U.S.N.Raju “Deep Convolutional Neural Networks Features for Image Retrieval”, Advances and Applications in Mathematical Sciences, Mili Publications, ISSN: 0974-6803, Vol.20, Issue 11, Pages: 2613-2626.

Suresh Kumar Kanaparthi, Surekha P, Lakshmi Priya Bellamkonda, Bhavya Kadiam, Beulah Mungara “Detection of Stress in IT Employees using Machine Learning Technique”, Proceedings of the International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 2022 DOI: 10.1109/ICAAIC53929.2022.9793195,

Kotari Sridevi, Kanaprthi Suresh Kumar, D Sameera, Yugandhar Garapati, D Krishnamadhuri, and Srikanth Bethu, “IoT based application designing of Deep Fake Test for Face animation” In 2022 6th InternationalConference on Cloud and Big Data Computing (ICCBDC 2022), August 18–20, 2022, Birmingham, United Kingdom. ACM, New York, NY, USA, 7 pages, https://doi.org/10.1145/3555962.3555967,

Bethu, S., Bhargavi Latha, S., Kumar Kanaparthi, S., Abdus Subhahan, D., Vani, G. (2023). CS-FA Nature Inspired Algorithm-Based Robust Video Watermarking. In Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_16

Suresh Kumar Kanaparthi, U.S.N Raju, “Image Retrieval by using Texture and Shape Correlated Hand Crafted Features” International Journal of Computational Vision and Robotics, Indersciences Publishers DOI:10.1504/IJCVR.2022.10048323

Suresh Kumar Kanaparthi, Sai Pratheeka Kaluvala, Vyshnavi Ravula, Jyothika Sai Masimukkula, Sri Indu Dekkapati “Real-time Face Mask Detection by Clever Convolution Neural Networks” 2nd International Conference on Intelligent Systems and Sustainable Computing-2022 (ICISSC-2022),ISSN:2190-3018 , at Malla Reddy University, Hyderabad, Dec. 16-17, 2022