Departments
Admin

LUFIYA GEORGE C

Assistant Professor(on leave)

Areas of Specialization

Deep Learning
Neural Networks
Artificial intelligence
Areas of Interest

Deep learning
Image processing
Machine Learning

Educational Summary


Course University Year
B.TECH Jyothi Engineering College 2018
M.TECH Jyothi Engineering College 2020

Experience


From Date To Date Institution Name Designation
2020-07-01 2024-07-19 Jyothi Engineering College Assistant Professor

Achievements


Achievement Year
Completed post graduation with 2nd topper in Jyothi Engineering College 2018

Papers Published


Scopus, Springer - A Survey on arrhythmia detection using Deep learning methods - 2022 Febuary IEEE Scopus Index - Hastha Mudra Assesmet Using Image Processing IJNTSE - Hand Gesture Recognition Case Study ICCSDET - Human Age Assessment ICETSET - Blood Type Ascertainment Technique A Review IJESIRD - Automated Patrolling System

Conferences / Workshop / FDPs Attended


12 th international conference- innovations in bio inspired Computing and applications , Machine Intelligence Research Labs (MIR Labs), USA February 2022 webinar: Unleashing the Power of Deep Learning for all Research Domains” FDP: Machine Learning: A trajectory through the world of adaptive algorithm FDP: Reinventing the process of teaching learning MOOC:Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning MOOC: orientation towards technical education and curriculum aspects of national initiative for technical teachers training MOOC: Communication skills, modes and knowledge dessimination MOOC: Technology enabled learning ad life long self learning of national initiative for technical teachers training FDP:“AI and its Applications in Research Webinar: REALISATION OF WOMEN'S RIGHTS IN INDIA 3rd international conference on trends in Electronics and informatic ICOEI 2019 AICTE Training And Learning (ATAL) Academy Onl

Projects Guided


Projects Name Details Year
Placement Automation System 2022
Modernizing Campusbook 2021
SIFOS- e- voting system 2020