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Ajay has been teaching at the University of Bridgeport since Spring 2016. His PhD research & dissertation focused on machine learning. He has about 20 years of industry experience in engineering and management. For more information, please go to https://www.ajayshrestha.com.
University of Bridgeport
1. PhD Computer Science and Engineering
2. MS Computer Science
3. BS Computer Engineering
Select First Author Research Publications on Machine Learning (Deep Learning)
1. Dissertation: Enhanced Deep Network Designs Using Mitochondrial DNA Based Genetic Algorithm and Importance Sampling, 2019
2. Conference: Optimizing Deep Neural Network Architecture with Enhanced Genetic Algorithm, 18th IEEE International Conference on Machine Learning and Applications, ICMLA, 2019, Florida
3. Journal: Review of Deep Learning Algorithms and Architectures, in IEEE Access, 2019
4. Conference: Enhancing Siamese Networks Training with Importance Sampling, 11th International Conference on Agents and Artificial Intelligence ICAART, Prague, Czech Republic, 2019
5. Journal: Improving Genetic Algorithm with Fine-Tuned Crossover and Scaled Architecture, Journal of Mathematics, 2016
Source: https://scholar.google.com/citations?user=wtBCz0QAAAAJ