Surabhi Saxena , S.Saxena
Christ University, Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP), Babu Banarasi Das University, Poornima University
0000-0002-4518-059X
About
Dr. Surabhi Saxena is currently serving as an Assistant Professor in the Department of Computer Science at CHRIST (Deemed to be University), Bangalore Central Campus. She obtained her Master of Computer Applications (MCA) from Rajasthan Technical University and her Ph.D. in Computer Applications from Babu Banarasi Das University, Lucknow. Her areas of specialization include Software Engineering, Fuzzy Logic, Machine Learning, Artificial Intelligence.
Dr. Saxena has published several high-quality research papers in Scopus and Web of Science indexed journals, including IEEE Access, Results in Engineering, Evolutionary Intelligence, Multimedia Tools and Applications, and Mobile Networks and Applications. She has also authored book chapters, filed patent applications, and presented research papers at numerous national and international conferences. She serves as a reviewer, editor, and editor-in-chief for reputed international journals and conferences and is an active member of leading professional computer science organizations. She received the Best Research Paper Award for her contribution to research in International Conference . Her current research focuses on Software Engineering, Explainable Artificial Intelligence (XAI), Machine Learning, Intelligent Systems and interdisciplinary computing applications.
Employment
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Christ University Assistant Professor2024 - Present
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Poornima University Associate Professor2023 - 2024
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PES University ASSISTANT PROFESSOR2022 - 2023
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Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) General Editors2019 - Present
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KL Deemed to be University ASSISTANT PROFESSOR2019 - 2022
Education
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Babu Banarasi Das University Ph.D.2014 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- Development of a VR-Based Solid Waste Management Awareness Platform Utilizing YOLOv12 and MSCNN Save
- Automatic detection of animal disease using histogram and multi-scale multi-orientation Gabor Wavelet features with deep convolutional neural networks Save
- Deep Learning Model Using Enhanced Spectral Clustering for Resume Automation Save
- Evaluate Machine Learning Techniques for Early Disease of Cardiovascular Disease Save
- Comparative Analysis of Machine Learning Algorithms for Effective Crop Recommendation Save
- Visualization of Data Structures and Algorithms with Dynamic Memory Allocation Save
- A Constructive Auto-Encoder Based Convolutional Neural Network Model for Skin Lesions Prediction Using Compression Model Save
- An Explainable AI Techniques for Advancing Diabetes Prediction Using Machine Learning Save
- ANFIS-Based Multi-Sensor Data Fusion Model for Optimized Autonomous Vehicle Navigation Using Big Data and Filtering Techniques Save
- An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining Save