Dr Kogilavani S V
vidwan id: 233464
Professor,
National Institute of Technical Teachers Training & Research, Chennai
Expertise
- Computer Science Information Systems
Publications
Publications
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Professional Recognition
Best Faculty Award
Kongu Engineering CollegeOutstanding Women in Engineering Award
Veenus International Foundation, VIWA 2017Inspire Faculty Excellence Award
Infosys Campus ConnectSummer Research Fellowship At Indian Institute of Technology, Guwahati
Indian Academy of Science, BengaluruYoung Women Scientist-2020
Dr.Kalam Educational TrustBest Researcher
Kongu Engineering CollegeM.E (CSE) - University 5th Rank Holder
Anna University ChennaiBest Faculty of the Year-Published Research Papers accepted in High Ranking and Indexed Journals
Computer Society of IndiaCommunity & Membership
Board of Studies - Mahendra Engineering College
Academic ExpertComputer Society of India
Bio
Machine Learning, Deep Learning, Information Retrieval, Natural Language Processing
Personal Details
- Female
- Professor , National Institute of Technical Teachers Training & Research, Chennai
- National Institute of Technical Teachers Training and Research
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Co-Authors (3)
Kongu Engineering College, Erode
Kongu Engineering College, Erode
Kalasalingam Academy of Research and Higher Education, Srivilliputhrur
Scholarly Work
Study and Development of a Tool for Alzheimer's Dementia Detection from Impulsive Images, Speech and Language using Transfer Learning based Deep Neural Network Techniques
Funding Agency: DHR-ICMR
Principal Investigator
1,966,880
2023 - Ongoing
Design and Development of a Tool for Childhood Autism Grading using Soft Computing Techniques
Funding Agency: Department of Science and Technology, Govt. of India
Co-PI
20,62,000
2017 - 2020
A Study and Analysis of Inundation Mapping and Social Media Data for Developing Flood Prediction Models using Machine Learning Approaches
DEVELOPMENT OF USER EXPERIENCE EVALUATION MODEL THROUGH DATASET CONSTRUCTION AND FEATURE SELECTION USING MACHINE LEARNING APPROACHES
CERTAIN INVESTIGATIONS OF ENHANCING MOVING OBJECT DETECTION IN DATA STREAMS USING MACHINE LEARNING MODELS
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