Research and Publication Summary

Explore my research and publications:

Explore my research and publications...

Additional Information

• A Survey on Tackling Heterogeneity in Federated Learning: A collaborative work with Kristiania University of Applied Sciences.
• A Comparative Analysis of Diverse Machine Learning Techniques in Intrusion Detection Datasets (Project Link)
  • Built an interactive user interface demonstrating data preprocessing, standardization, and splicing.
  • Implemented feature selection techniques using regularizers to reduce multicollinearity.
  • Integrated options for classifier selection, ROC-AUC curve analysis, cross-validation, and performance visualization.
• Identification of Cucumber Leaf Disease: Deep learning-based classification (In progress).
• Advanced Persistent Threat Detection: Applied unsupervised learning to the CICAPT IoT dataset, addressing imbalanced data challenges [Work under Progress]
• A novel approach for PCOS Prediction: Symptom-based PCOS prediction using feature selection and Optimized Machine Learning Algorithms Compared evaluation metrics between symptom integrated dataset and only medical assessed dataset.
• Modeling a 5R Robotic Manipulating System with 5DoF using GUI MATLAB Simulation, 4th ICMIME, Rajshahi
• Log Analysis and Dashboard Building: Developed statistical models with Python and visualizations using Grafana.
• Advanced Persistent Threat Detection: Applied unsupervised learning to the CICAPT IoT dataset, addressing imbalanced data challenges [Work under Progress]
• Undergraduate Thesis: Analysis of the Effect of System and Channel Parameter Variation on Out-of-Band Aided Reconstruction Methods in mmWave and Sub-6 GHz bands.