Dr. Snehal Shukla
Assistant Professor
Ph.D. - Computer Applications, MCA, B.Sc.IT
Experience: 15 years
Specialization: Artificial Intelligence & Machine Learning
Research Area: Natural Language Processing, Image Processing, AIML, Data Analytics
About
Dr. Snehal Shukla holds a Ph.D. in Computer Science with specialization in Handwritten Character Recognition, focusing on the analysis and recognition of modifiers in Gujarati handwritten characters. She was a Gold Medalist in B.Sc. (IT) from Saurashtra University and secured 3rd Rank in MCA from Gujarat Technological University.
Her research interests include Pattern Recognition, Machine Learning, Natural Language Processing, Gujarati Language Computing, Artificial Intelligence, and Blockchain Technology. She has authored and co-authored research papers published in national and international journals and conferences, and has also contributed to academic book publications in the field of Computer Science.
Dr. Shukla is actively engaged in postgraduate teaching, curriculum development, and designing practical-oriented laboratory modules aligned with emerging technologies. She is committed to research-driven teaching and fostering analytical, innovative, and problem-solving skills among students through outcome-based education practices.
S. Shukla and P. Tanna, “Pattern Recognition in Gujarati Character Detection – A Pragmatic Approach,” International Journal for Science and Advance Research in Technology, vol. 6, no. 12, Paper ID: IJSARTV6I1241783, ISSN: 2395-1052.
Year: 2020
S. Shukla and P. Tanna, “An automated framework to generate handwritten dataset for Gujarati handwritten character recognition,” in Proc. International Conference on Cyber Security, IoT, Big Data & Information Technology (ICCIBI-2024), 2024, ISBN: 978-93-91535-86-5.
Year: 2024
S. Shukla and P. Tanna, “Pre-processing techniques for Gujarati handwritten character recognition system architecture,” in Proc. 5th Springer International Conference on Data Engineering & Applications (IDEA-2K24), 2024.
Year: 2024
S. Shukla and P. Tanna, “Recognition of Gujarati handwritten characters with modifiers using convolutional neural network,” in Proc. 2024 3rd International Conference on Advanced Communication and Intelligent Systems (ICACIS-2024), 2024.
Year: 2024
Dr. Harshal A. Arolkar, Dr. Vishal Narvani, Dr. Snehal Shukla and Dr. Rachana Chaudhari, "Problem Solving Using Python", Dr. Babasaheb Ambedkar Open University (ISBN: 978-81-982671-5-3)
Year: 2025
S. Shukla and P. Tanna, “Supervised machine learning for recognition of Gujarati handwritten characters with modifiers,” in Proc. 4th International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2024), 2024.
Year: 2024
Best Book Award in Computer Science Category - Along with my co-authors Dr. Harshal Arolkar, Dr. Snehal Shukla Trivedi, and Dr. Rachana Chaudhari
Year: 2025
No PhD students listed.