akumar13@gitam.edu
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Ambeshwar Kumar obtained his Ph.D. in Machine learning and deep learning from SASTRA Deemed University, Thanjavur, India. He has received his Bachelor of Engineering and Master of Technology Degree from Visvesvaraya Technological University Belagavi and Dayananda Sagar University Bangalore respectively. He possesses two and half year of academic and four years of research experience in the field of Computer Science and Engineering. He has more than 30 research contributions to his credit.
Research Publications
- Kumar, A., Ramachandran, M., Gandomi, A. H., Patan, R., Lukasik, S., & Soundarapandian, R. K. (2019). A deep neural network based classifier for brain tumor diagnosis. Applied Soft Computing, 82, 105528.
- Agarwal, M., Rani, G., Kumar, A., Kumar, P., Manikandan, R., & Gandomi, A. H. (2024). Deep learning for enhanced brain Tumor Detection and classification. Results in Engineering, 22, 102117.
- Chakrapani, K., Kempanna, M., Safa, M. I., Kavitha, T., Ramachandran, M., Bhaskar, V., & Kumar, A. (2023). An enhanced exploration of sentimental analysis in health care. Wireless Personal Communications, 128(2), 901-922.
- Kumar, A., Manikandan, R., Kose, U., Gupta, D., & Satapathy, S. C. (2021). Doctor's dilemma: evaluating an explainable subtractive spatial lightweight convolutional neural network for brain tumor diagnosis. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 17(3s), 1-26.
- Ramachandran, M., Patan, R., Kumar, A., Hosseini, S., & Gandomi, A. H. (2021). Mutual informative MapReduce and minimum quadrangle classification for brain tumor big data. IEEE Transactions on Engineering Management, 70(8), 2644-2655.
Expertise
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Machine Learning
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Deep Learning
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Healthcare Applications
