Dr Pavithra D
Associate Professor
| Department of Information Technology
Dr N.G.P. Institute of Technology
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
43
Publications
0
Projects
393
Scopus Citations
343
CrossRef
19 Years 11 Months Total Experience
Scopus
393
Citations
7
h-index
CrossRef
343
Citations
7
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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ISTE
LifetimePersonal Details
Doctor of Philosophy
2021
National College of Ayurveda
Master of Engineering
2011
The Indian Engineering College, Vadakkangulam
Bachelor of Engineering
2002
Bidhan Chandra Krishi Vishwavidyalaya , Nadia
Associate Professor
Mar 2024 – Present
Dr N.G.P. Institute of Technology
| Department of Information Technology
Assistant Professor
Jan 2022 – Jun 2015
Dr N.G.P. Institute of Technology
| Information Technology
Assistant Professor (Senior Grade)
Jan 2022 – Mar 2024
Dr N.G.P. Institute of Technology
| Department of Information Technology
Assistant Professor
Jun 2015 – May 2018
Dr N.G.P. Institute of Technology
| Department of Computer Science and Engineering
Assistant Professor
Jun 2011 – Apr 2015
Dr.Mahalingam College of Engineering and Technology
| Department of Computer Science and Engineering
Assistant Professor
May 2006 – Mar 2007
Hindusthan College of Engineering and Technology
| Department of Computer Science and Engineering
Assistant Professor
Feb 2003 – Nov 2011
Sri Ramakrishna Institute of Technology
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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Smart IoT-driven System of Multimodal Emotion Recognition System using Deep Learning
Ms.T.Shanmugapriya
Dr.D.Pavithra
Ms. K. Emily Esther Rani
Ms.S. Jone Rosy
Mr. Pradeep R
-
Application No. :
202241066563
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Interference-aware path optimization using PSO-LA for IoT in 5G networks
YouTube Comment Analysis Using LSTM Model
Identification of Coal Gangue in Coal using YOLO V7
An Approach Towards the Detection of Ocular Cancer using Fast R-CNN Technique
Autism screening tools with machine learning and deep learning methods: A review
An improved adaptive neuro fuzzy interference system for the detection of autism spectrum disorder
Comparison of Machine Learning Methods for Effective Autism Diagnosis
AI-driven real-time anomaly detection in industrial cyber-physical systems using hybrid deep learning with SWaT and WADI benchmarks
Open Access
Showing 1 to 8 of 43 publications