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Ms. Sandhya Pundhir has a rich teaching experience of about 14+ years. She has worked at various institutions such as Aryabhatt Institute Of Technology Delhi, Govind Ballabh Pant Institute of Engineering & Technology, Okhla, Zakir Husain College of Engineering and Technology Aligarh, Hi Tech Institute of Engineering and Technology Ghaziabad, Anand Engineering College, Agra. She has attended multiple workshops sponsored by AICTE on Machine Learning, SOFT computing etc. and has also worked with real time projects on Web crawler, Compiler, Link prediction etc.
Ramasamy, J., Pundhir, S., Narayanan, S., Ramadass, S., Aswin, S., & Suresh, A. (2021). Deep learning for material synthesis and pose estimation material systems: A review. Materials Today: Proceedings. doi:10.1016/j.matpr.2021.04.234
Pundhir, S., Ghose, U. & Kumari, V. (2020). legitANN: Neural network model With unbiased robustness for link prediction. Proceedings of International Conference on Communication and Artificial Intelligence,192, 385-397
Pundhir, S., Ghose, U., & Bisht, U. (2020). Assessment of effectiveness of data dependent activation method: MyAct. Journal of Intelligent & Fuzzy Systems, 39(1), 665–677. doi:10.3233/jifs-191618
Sandhya, Ghose, U., & Bisht, U. (2019). Tailored feedforward artificial neural network based link prediction. International Journal of Information Technology. doi:10.1007/s41870-019-00362-2
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