Dr. Ankita Tyagi

Analytical educator experienced in university environments. Knowledgeable about rigorous of balancing research with classroom and administrative responsibilities. Expert in Python & Machine Learning dedicated to expanding collective knowledge base through new fresh, interesting studies. Published multiple journals and sought-after speaker at field conferences.

• “Statistical Analysis of Parkinson’s Disease Using Principle Component Analysis and Artificial Neural Network: A Critical Review” in International Journal of Advance Research in Science and Engineering (IJARSE), April 2018, ISSN:2319-8354.
• “Prediction Model for Diabetes Mellitus Using Machine Learning Techniques” in International Journal of Computer Sciences and Engineering, Volume-6, Issue-3, Mar-2018, ISSN:2347-2693 (E).
• “Interactive Thyroid Disease Prediction System Using Machine Learning Techniques” IEEE Explore
• “Intelligent Prognostics Model for Disease Prediction and Classification from Dermoscopy Images using a Convolutional Neural Network”. SCOPUS JOURNAL.
• “An optimized CNN based intelligent prognostic model for disease prediction and classification from Dermoscopy images”. SCI JOURNAL.
• “Intellectual Heartbeats Classification Model for Diagnosis of Heart Disease from ECG Signal using Hybrid Convolutional Neural Network”. SCI JOURNAL.
• “Data Mining and Fusion Techniques for Wireless Intelligent Sensor Networks”. Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenarios (pp.592-615) Publisher: Springer, Cham. Book Chapter.

Indian Design Patent No. 431344-001

Title of Invention: "Smart Cybersecurity Analytics Device"

Field of Invention: Computer Science

Date Granted: 23/09/2024

Issued By: Controller General of Patents, Designs and Trade Marks (India)