S.No. | Name | PhD Thesis Title | Status | Year |
---|---|---|---|---|
1. | Vandan Tewari | "Methodologies for Client Oriented Discovery and Mining in Web Service Environment" | Awarded | 2015 |
2. | Arpit Bhardwaj | "Investigation in Tree base Genetic Programming for Data Classification" | Awarded | 2015 |
3. | Anuradha Purohit | "Optimizing program structures for classifiers using GeneticProgramming" | Awarded | 2016 |
4. | Neha Bharill | "Investigations in Fuzzy Clustering and its application to Big Data " | Awarded | 2018 |
5. | Omprakash Patel | "Investigations in Quantum based Neural Network Learning Algorithms. " | Awarded | 2018 |
6. | Animesh Chaturvedi | "System Evolution Analytics: Data mining and learning of Complex and Big Evolving Systems. " | Awarded | 2020 |
7. | Chandan Gautam | "Kernel-based Learning in the absence of counterexamples: One Class Classification. " | Awarded | 2020 |
8. | Preeti Jha | "Design of Scalable Fuzzy Clustering Algorithms and its Application to Huge Genomics Data. " | Awarded | 2021 |
9. | Vikas Chauhan | "Multi-label Classification using Non-Iterative Learning and Deep Learning based approaches. " | Awarded | 2022 |
10. | Suchitra Agrawal | "Investigations in Multimodal Optimization using Differential Evolution and it's Applications. " | Awarded | 2023 |
11. | Rajesh Dwivedi | " Novel Scalable Feature Extraction and Clustering Algorithm for Plant Genome Sequences. " | Awarded | 2024 |
12. | Rituraj | "Investigations in Generative Adversarial Networks for Anomaly Detection & its Application to Video Analysis. " | Submitted | 2024 |
S.No. | Name | MS Thesis Title | Status | Year |
---|---|---|---|---|
1. | Pratik Mishra | "Minimum Variance Embedding-Based Least-Squares Methods for One-Class Classification." | Completed | |
2. | Siddharth Gupta | "Approximated Deep Neural Networks." | Completed | |
3. | Shatendra Singh | "Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization." | Completed | |
4. | Ajay Choudhary | "Predictions in Non-Stationary Data Streams using Fuzzy Clustering-based Adaptive Regression. " | Completed | |
5. | Neelesh Ghanghoriya | "Video Action Recognition using Deep Learning ." | Ongoing | |
6. | Saurav Kumar | "CaaGrad : A Novel Adaptive Approach For Optimization in Deep Learning." | Completed | |
7. | Ananya Roy | "Deep Learning Algorithm for Human Action Recognition." | Completed | |
8. | Achint Kumar | "Deep learning algorithm for genome data." | Ongoing | |
9. | Suhas G Hedge | "Diffusion model for genrating soybean images." | Ongoing |