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St.Joseph's Institute of Technology
S t a f f A c h i e v e m e n t s
Staff Achievements
Dr.J.Dafni Rose, Professor Published a patent titled “Eco - Concious Recyclable Areca
leaf plates and Packaging for Food serving optimized with Machine Learning” with
1 application number 202411051101 on 04.10.2024 by Office of the controller general of
patents, designs and trademarks department of Industrial policy and promotion,
Ministry of Commerce industry, Government of India.
Dr.C.A. Subsini, Professor Published a patent titled “Role of Radio Frequency
Identification (RFID) in Warehouse and Logistics Management System Using Machine
1 Learning Algorithm” with application number 202441073897 on 04.10.2024 by Office of
the controller general of patents, designs and trademarks department of Industrial
policy and promotion, Ministry of Commerce industry, Government of India.
Mr. Sundarababu Maddu, Assistant Professor Published a patent titled “Intelligent
Brain-Computer Interface System to Operate Prosthetic Limbs of Paralyzed People”
1 with application number 202441068447 on 20.09.2024 by Office of the controller general
of patents, designs and trademarks department of Industrial policy and promotion,
Ministry of Commerce industry, Government of India.
Dr.A.Deepak Kumar, Associate Professor published a patent titled “A Hybrid AI and
Machine Learning Approach for Accurate Skin Cancer Detection and Classification” with
1 application number 202411071439 on 11/10/2024 by Office of the controller general of
patents, designs and trademarks department of Industrial policy and promotion,
Ministry of Commerce industry, Government of India.
1..Ranganayaki V.C has attended a 5 days online FDP on “Evolving Landscape of Data
1 Science-Current Trends &Patterns” conducted by Hindusthan college of Arts &Science
from 23-09-2024 to 27-09-2024.
Dr. G. Rohini from the ECE department has successfully published a patent titled
"Hyper Spectral Sensing-Based System for Salad Leaf Disease Detection and
Prediction Using Machine Learning." The patent, with application number
202441074598, focuses on innovative techniques for early detection and
prediction of diseases in salad leaves. This achievement highlights significant
advancements in agricultural technology using machine learning and
hyperspectral sensing.
Triumphus 8