sandavar@gitam.edu
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With over 10 years of experience in teaching engineering subjects, my expertise & research in areas of machine learning and DL. I am eager to improve further through better learning and exploration. I have published 18 articles in peer-reviewed journals, completed 1 project worth 1 lakh for product development of an EEG wheelchair, and was able to guide students in better career progression. I am also interested in collaborating with teams that would improve the skill set and leadership skills.
Research Publications
- A.Sravani, Ch.Anusha, N.V.S. Shankar, “A Comparative Analysis of Machine Learning Algorithms in Stock Prediction”, International Conference on Industrial Engineering and Operations Management Rome, Italy, 2021, pp 2619-2623
- A.Sravani, Ch.Anusha, N.V.S. Shankar, “Diabetes Diagnosis and Classification Using Feed Forward Neural Network Algorithm”, International Conference on Industrial Engineering and Operations Management Rome, Italy, 2021, pp 2590-2596
- N.V.S Shankar, V.S.N.Venkataramana, A.Sravani, “IoT for vibration measurement in engineering research” , Materials today proceedings 59(2022),April 2022, pp 1792-1796
- Ch. Anusha, A.Sravani, Jetti Anusha, Choudari Lakshmi, G. Santhoshi Kumari, “Intrusion Detection System in IoT Network by using Metaheuristic Algorithm with Machine Learning Dimensional Reduction Technique”, 3rd International conference on computing, Analytics, Networks(ICAN), June, 2023, IEEE explore.
- K. Janaki, D. V. Ravi Kumar, C. V. Murali krishna, A. Sravani and G. J. Moses, “Enhancing Intrusion Detection with Advanced Feature Extraction Through Machine Learning and Deep Learning Methods,” 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2024, pp. 1-6
Expertise
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Machine Learning
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Deep Learning
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IoT
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Image Processing
Authored Books
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Face Recognition System using image processing, LAMBERT Academic Publishing (LAP), Year: 2021
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Student Placement Probability Prediction using Machine Learning, LAMBERT Academic Publishing, ISBN: 978-620-5-49061-7, Year: 2022
