Specialization

Machine Learning and Computer Vision

Email

kashishgoyal31@gmail.com

Education

1.    PhD in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala
•    Title: Artificial Intelligence Based Food Quality Detection System

2.    M.Tech in Computer Science and Engineering from University Institute of Engineering and Technology, Panjab University, Chandigarh.
3.    B.Tech in in Computer Science and Engineering from Punjab Technical University, Jalandhar.

Experience
1.    Assistant Professor (Contractual – II) (Research Faculty), Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India (October 2024 - Present)
2.    Assistant Professor (Contractual), Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India (August 2021 – June 2024)
3.    Teaching Associate, Computer Science and Engineering Department, Institute of Engineering and Technology, Patiala, India (July 2019 – June 2021)
4.    Senior Research Fellow, Council of Scientific and Industrial Research (CSIR), New Delhi, India (April 2019 – July 2019)
5.    Assistant Professor, Computer Science and Engineering Department, Chandigarh University, Gharuan, Mohali, India (July 2018 – January 2019)

Journal Publications
1.    K. Goyal, P. Kumar, and K. Verma, “Food Adulteration Detection using Artificial Intelligence: A Systematic Review,” Archives of Computational Methods in Engineering, vol. 29, no. 1, pp. 397–426, Jan. 2022, doi: 10.1007/S11831-021-09600-Y/TABLES/15. (SCIE), IF-9.7 
2.    K. Goyal, P. Kumar, and K. Verma, “AI-based fruit identification and quality detection system,” Multimedia Tools and Applications, vol. 82, no. 16, pp. 24573–24604, Jul. 2023, doi: https://10.1007/S11042-022-14188-X/FIGURES/22, IF-3
3.    K. Goyal, P. Kumar, and K. Verma, “Tomato Ripeness and Shelf-Life Prediction System Using Machine Learning,” Journal of Food Measurement and Characterization,  (SCIE), IF-2.9
4.    K. Goyal, P. Kumar, and K. Verma, “XAI-Empowered IoT Multi-Sensor System for Real-Time Milk Adulteration Detection,” Food Control,  (SCIE), IF-5.6

Conference Publications
1.    Goyal, K., Sodhi, P., Aggarwal, P., Kumar, M. (2019). Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prognosis. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_73
2.    Goyal, K., Aggarwal, P., Kumar, M. (2020). Prediction of Breast Cancer Recurrence: A Machine Learning Approach. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_10.