Akshaya Suresh

Currently pursuing Doctoral research in Cybersecurity.Seeking for a better opportunity in this field to enhance knowledge. Detail-oriented and organized, adept at managing multiple responsibilities.

• Stock Market Prediction :- Guided students in developing a machine learning model for stock market prediction, focusing on data preprocessing, feature engineering, and algorithm selection. Provided expertise in sentiment analysis, ensemble techniques, and evaluation metrics to enhance model accuracy and robustness. Ensured project milestones were met while fostering collaborative problem-solving and technical skill development.

• Crime Records Bureau-ASP.NET :- Here VDERS scheme is used for retrieving the crime records by filtering using keywords.Crime records will store in cloud using efficient encryption process and adopt searchable symmetric encryption (SSE) to facilitate keyword based searches over the cipher texts.

• Efficient Joint Encryption and Data Hiding Algorithm for Medical images security-MATLAB :- Here an efficient crypto-watermarking algorithm is proposed to secure medical images transmitted in telemedicine applications. The authenticity and integrity of medical images can be verified in the spatial domain, encrypted domain, or in both domains.

• Smart Museum-ASP.NET :- Smart Museum is an interactive application that provides all the information about an object by scanning the QR-code which is present in the museum. The system has mainly three parts-Android application, a website application, and a Desktop application.