Teaching Faculties
Dr. Somya Rakesh Goyal
Assistant Professor (Selection Grade) Department of Computer and Communication Engineering
- somya.goyal@jaipur.manipal.edu
- 8168361767
- Ph.D. (Guru Jambheshwar University of Science and Technology, Hisar) 2022
- MTECH, MAHRISHI DAYANAND UNIVERSITY ROHTAK ,2011
- BE, MAHRISHI DAYANAND UNIVERSITY ROHTAK, 2009
- Software Quality Prediction using Machine Learning
- Yonug Researcher of the Year 2021
- Top Researcher of the month September 2022
- Dr. Ramdas M. Pai Award for professional excellence -2022-23
- Departmental Research Coordinator
- IEEE
- ACM
- IEANG
- CSTA
- Goyal, S. 3PcGE: 3-parent child-based genetic evolution for software defect prediction. Innovations Syst Softw Eng 19, 197-216 (2023). https://doi.org/10.1007/s11334-021-00427-1
- Goyal, S. Software fault prediction using evolving populations with mathematical diversification. Soft Comput 26, 13999-14020 (2022). https://doi.org/10.1007/s00500-022-07445-6
- Goyal, S. (2023). Artificial Intelligence-Based Healthcare Industry 4.0 for Disease Detection Using Machine Learning Techniques. In: Moy Chatterjee, J., Saxena, S.K. (eds) Artificial Intelligence in Medical Virology. Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-99-0369-6_10
- Trivedi, R.B., Sahani, A., Goyal, S. (2023). PNA-DCN: A Deep Convolution Network to Detect the Pneumonia Disease. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_11
- Goyal, S., 2023. Software Measurements from Machine Learning to Deep Learning. In Computational Intelligence Applications for Software Engineering Problems (pp. 119-134). Apple Academic Press
