Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher AwardĀ
Dr. Jany Shabu, Sathyabama Institute of Science & Technology, India
Professional Profile:
Summary of Suitability for Best Researcher Award:
Dr. S.L. Jany Shabu is a commendable candidate for the Best Researcher Award, recognized for her significant contributions to computer science engineering and her innovative research in image fusion and optimization techniques.
Education š
- Ph.D. in Image Fusion
Sathyabama Institute of Science and Technology
Thesis Title: Multimodal Image Fusion using Intelligent Optimization Techniques with Brain Tumor Detection - M.Tech (IT) in Information Technology
Sathyabama Institute of Science and Technology
Graduated with First Class - M.S. (IT) in Information Technology
Manonmaniam Sundaranar University
Graduated with First Class
Work Experience š¼
- Current Position: Associate Professor, Computer Science Engineering
Sathyabama Institute of Science and Technology
Achievements š
- Seed Funding:
Project Title: Safety Stick for Elders
Amount: ā¹300,000
Period: Oct 2021 – June 2022
Role: Co Principal Investigator - Patent Holder:
- SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
Application No: 201741038384 – Published - GARMENT STEAMER MANAGEMENT SYSTEM
Application No: 367890-001 – Published - GESTURE BASED ELECTRONIC GADGET OPERATING SYSTEM
Application No: 202341088351 A – Published
- SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
- Reviewer:
- Journal of Scientific Research and Reports
- Journal of Pharmaceutical Research International
- International Conference on Computational Intelligence, Networks & Security
- Book Chapter for CRC PRESS Taylor & Francis Group
Awards and Honors š
- Cash Award for Publishing Paper in High Impact WOS Journal
Sathyabama Institute of Science and Technology (Teachers Day 2022 & 2024) - NPTEL Discipline Star Certificate
- Disciplinarian Award
Sathyabama Institute of Science & Technology, Chennai
PublicationĀ Top Notes:
DeepExuDetectNet: Diabetic retinopathy diagnosis: Blood vessel segmentation and exudates disease detection in fundus images
A swarm intelligence optimization for lung cancer detection from RNA-seq gene expression data using convolutional neural networks
A novel framework for entertainment robots in personalized elderly care using adaptive emotional resonance technologies
An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform
Rainfall prediction using machine learning techniques
Online product review using sentiment analysis
Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award