Dr. Jany Shabu | Artificial Intelligence Awards | Best Researcher Award

Dr. Jany Shabu, Sathyabama Institute of Science & Technology, India

Dr. S.L. Jany Shabu is an accomplished Associate Professor in the Department of Computer Science Engineering at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. With a Ph.D. in Image Fusion, her research focuses on multimodal image fusion using intelligent optimization techniques, particularly in the context of brain tumor detection. Dr. Shabu has a strong academic background, holding both M.Tech and MS degrees in Information Technology, and has published extensively, with 58 papers indexed in Scopus and four in WoS. She has received multiple accolades for her contributions to research and education, including cash awards for publishing in high-impact journals and the prestigious NPTEL Discipline Star Certificate. As an active member of the National Institute for Technical Training and Skill Development, Dr. Shabu is dedicated to advancing the field of computer science through her research, teaching, and professional engagement. Her innovative projects, including a Safety Stick for Elders, and her patents in smart traffic control and gesture-based systems, exemplify her commitment to leveraging technology for societal benefit. She has also authored several books on machine learning, cloud computing, and data analytics, further solidifying her reputation as a thought leader in her field. With a robust online presence, including profiles on ORCID and Scopus, Dr. Shabu continues to contribute to academic excellence and innovation in computer science.

Professional Profile:

SCOPUS

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 🎓

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 💼

Current Position: Associate Professor, Computer Science Engineering
Sathyabama Institute of Science and Technology

Achievements 🌟

Seed Funding:
Project Title: Safety Stick for Elders
Amount: ₹300,000
Period: Oct 2021 – June 2022
Role: Co Principal Investigator
Patent Holder:
1. SMART TRAFFIC CONTROL SYSTEM USING IOT BASED MONITORING SYSTEM
  Application No: 201741038384 – Published
2. GARMENT STEAMER MANAGEMENT SYSTEM
  Application No: 367890-001 – Published
3. GESTURE BASED ELECTRONIC GADGET OPERATING SYSTEM
  Application No: 202341088351 A – Published
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 🏆

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

Publication 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

Prof. Changgyun Kim, Department of Artificial Intelligence & Software/Samcheok,South Korea

Changgyun Kim is an esteemed academic and researcher associated with Kangwon National University, Department of Artificial Intelligence & Software, and Dongguk University’s Industrial Engineering department in South Korea. His research expertise spans deep learning, healthcare, and data mining. He has made significant contributions to the field, including developing AI-based systems for detecting betting anomalies in sports, diagnosing tooth-related diseases using panoramic images, and creating models for obesity diagnosis using 3D body information. His work is published in renowned journals such as Scientific Reports, Annals of Applied Sport Science, JMIR Medical Informatics, Sensors, Sustainability, the International Journal of Distributed Sensor Networks, and Applied Sciences. Dr. Kim’s notable projects include establishing IoT-based smart factories for SMEs in Korea and developing web applications for obesity diagnosis using data mining methodologies. His extensive research portfolio underscores his commitment to advancing AI applications in various domains

Publication top Notes: