Dr. Sharada Katragadda is from Visakhapatnam, Andhra Pradesh. She holds a Master's Degree in Computer Science Engineering from JNTUK (2010) and a PhD in Machine Learning Approaches for Retention Scheduling and Identification of Wheel Spinning Cases in Personalized Tutoring Systems from Andhra University (2018).
With 15 years of teaching experience, she has excelled in handling both undergraduate and postgraduate curricula. She is known for her ability to teach, inspire, and mentor students.
Research Publications
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Sharada, N., M. Shashi, and X. Xiong. Modeling student knowledge retention using deep learning and random forests. Journal of Engineering and Applied Sciences 13.6 (2018): 1347-1353.
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Student Psychology Teaching Learning Optimisation-Based Deep Long Short-Term Memory for Predicting Student Performance K. Sharada (1Department of Computer Science and Engineering, GITAM (Deemed to be University), Gandhi Nagar, Rushikonda, Visakhapatnam, Andhra Pradesh 530045, India) Journal of Information & Knowledge Management 2024 23:03
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An artificial intelligence based multimodal biometric recognition using Fully Convolutional Residual Neural Network, ARPN Journal of Engineering and Applied Sciences, https://doi.org/10.59018/1023272
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Synergizing Deep Belief Networks and Multi-Layer Perceptrons for Advanced Facial Expression Identification: A Leap in Deep Learning Applications, 9th IEEE International Conference for Convergence in Technology, I2CT 2024