Dr. V RAJINIKANTH
Professor
Department of Research & Innovation,
Saveetha School of Engineering,
SIMATS Deemed University,
Chennai, Tamil Nadu, India.
Email: ajinikanthv.sse@saveetha.com
Phone: 93805 93801
Embedded Files
Publications: Scopus- 97, SCI - 92
H Index: 45, Citation: 6655, i10 Index: 115
Thomson Reuters Impact Factor: 317.48
Research Interest
System identification, Industrial process modelling and control, Heuristic algorithm supported optimization, Pattern recognition, Image processing and Signal processing using conventional and Artificial Intelligence techniques.
Editorial activities
Editorial activities
Section Editor - Current Medical Imaging (Impact factor - 1,2)
Academic Editor - Mathematical Problems in Engineering (SCOPUS)
Review Board member - International Journal of Ambient Computing and Intelligence (IJACI) (SCOPUS, ESCI)
Project Fund:
Title : Development of an Artificial Intelligence (AI) based UAV (unmanned aerial vehicle) system for agricultural applications
University: National University, Sultanate of Oman
Fund: 20000 OMR
Role: External Collaborator
Lised IN world`s TOp 2% Scientist
Lised IN world`s TOp 2% Scientist
I am delighted to share the exciting news that I have been recognized as one of the "Top 2% Scientists in the World", according to the recent survey conducted by Elsevier and Stanford University - USA.
Ranked 1524th globally and 79th among all Indian researchers and scientists in the Artificial Intelligence & Image Processing field.
Lised IN TOP COMPUTER SCIENCE Scientist
Lised IN TOP COMPUTER SCIENCE Scientist
Ranked 8251th globally and 75th among all Indian researchers and scientists in the Computer Science field by Research.com.
Memberships of Professional Societies:
IEEE Member
Soft Computing Research Society (India)
Selected Publications:
Venkatesan Rajinikanth, P. M. Vincent, Kathiravan Srinivasan, G. Ananth Prabhu, and Chuan-Yu Chang. "A framework to distinguish healthy/cancer renal CT images using the fused deep features." Frontiers in Public Health 11 (2023): 1109236.
Venkatesan Rajinikanth, Seifedine Kadry, and Pablo Moreno-Ger. "ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features." (2023).
Gyaneshwar, Amogh, Anirudh Mishra, Utkarsh Chadha, PM Durai Raj Vincent, Venkatesan Rajinikanth, Ganapathy Pattukandan Ganapathy, and Kathiravan Srinivasan. "A Contemporary Review on Deep Learning Models for Drought Prediction." Sustainability 15, no. 7 (2023): 6160.
Venkatesan Rajinikanth, PM Durai Raj Vincent, C. N. Gnanaprakasam, Kathiravan Srinivasan, and Chuan-Yu Chang. "Brain Tumor Class Detection in Flair/T2 Modality MRI Slices Using Elephant-Herd Algorithm Optimized Features." Diagnostics 13, no. 11 (2023): 1832.
Mohan, Ramya, Arunmozhi Rama, Ramalingam Karthik Raja, Mohammed Rafi Shaik, Mujeeb Khan, Baji Shaik, and Venkatesan Rajinikanth. "OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection." Biomolecules 13, no. 7 (2023): 1090.
Mohan, Ramya, Seifedine Kadry, Venkatesan Rajinikanth, Arnab Majumdar, and Orawit Thinnukool. "Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm." Life 12, no. 11 (2022): 1848.
Kadry, Seifedine, Gautam Srivastava, Venkatesan Rajinikanth, Seungmin Rho, and Yongsung Kim. "Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features." Computational Intelligence and Neuroscience 2022 (2022).
Vijayakumar, K., V. Rajinikanth, and M. K. Kirubakaran. "Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features." Journal of X-Ray Science and Technology Preprint (2022): 1-16.
Kadry, Seifedine, Venkatesan Rajinikanth, Rubén González Crespo, and Elena Verdú. "Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme." The Journal of Supercomputing 78, no. 5 (2022): 7321-7340.
Kadry, Seifedine, Venkatesan Rajinikanth, David Taniar, Robertas Damaševičius, and Xiomara Patricia Blanco Valencia. "Automated segmentation of leukocyte from hematological images—A study using various CNN schemes." The Journal of Supercomputing 78, no. 5 (2022): 6974-6994.
Shan, B. Priestly, O. Jeba Shiney, Sharzeel Saleem, V. Rajinikanth, Atef Zaguia, and Dilbag Singh. "A Post-Processing Algorithm for Boosting Contrast of MRI Images." CMC-COMPUTERS MATERIALS & CONTINUA 72, no. 2 (2022): 2749-2763.
WeiKoh, Joel En, Venkatesan Rajinikanth, Jahmunah Vicnesh, The‐Hanh Pham, Shu Lih Oh, Chai Hong Yeong, Meena Sankaranarayanan et al. "Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals." Expert Systems (2022): e12957.
Rajinikanth, V., Seifedine Kadry, David Taniar, K. Kamalanand, Mohamed Abd Elaziz, and K. Palani Thanaraj. "Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique." Journal of Ambient Intelligence and Humanized Computing (2022): 1-19.
Biju, Roshima, Warish Patel, K. Suresh Manic, and Venkatesan Rajinikanth. "Framework for Classification of Chest X-Rays into Normal/COVID-19 Using Brownian-Mayfly-Algorithm Selected Hybrid Features." Mathematical Problems in Engineering 2022 (2022).
Abirami, R. Nandhini, Pmdr Vincent, Venkatesan Rajinikanth, and Seifedine Kadry. "COVID-19 Classification Using Medical Image Synthesis by Generative Adversarial Networks." International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2022): 385-401.
Daniel, Jesline, J. T. Rose, F. Vinnarasi, and Venkatesan Rajinikanth. "VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images." Scanning 2022 (2022).
Books Published: Springer, Elsevier, IOP Science, Nova
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