VIDHI CHAUDHARI

To contribute to excellence in teaching, research, mentorship, and academic leadership by applying expertise in Artificial Intelligence, Machine Learning, and Deep Learning to real-world applications, while strengthening international collaborations and global academic engagement in my role as Associate Dean – International.

Mentored research projects under GUNI Summer and Winter Internship Programmes, including students from IIT Jodhpur, DDU Nadiad, and Chitkara University, Punjab.Actively served as a coordinator for technical and non-technical events, contributing to planning, organization, coordination, and successful execution.

• Patent Application No.: 202521049991
  Title: IoT-Based System for Detecting Human Emotions Through Deep Neural Network Models
  Year: 2025
• Patent Application No.: 455098-001
  Title: Smart Public Distribution KIOSK
  Year: 2025

• ATLAS: Adaptive Thresholding and Learning Algorithms for Sensor-Based Fall Detection Systems (2025), https://www.irjmets.com/upload_newfiles/irjmets70700025293/paper_file/i rjmets70700025293.pdf
• Adaptive Machine Learning and Deep Learning Framework for Real-time Fake News Detection(2025), https://www.ijcaonline.org/archives/volume187/number55/chaudhari-· 2025-ijca-925962.pdf
• IEEE: Yoga Pose Detection and classification using ensemble learning with staking method (2025), https://ieeexplore.ieee.org/document/11203645?denied=
• ITM Web of Science: Machine Learning and AI-Powered Diagnostics for Early Detection of Oral Pre-Malignant and Malignant Lesions (2025) https://www.itm-conferences.org/articles/itmconf/pdf/2025/10/itmconf_keis2025_01025.pdf
• AI-Powered Cloud-Based Smart Traffic Signal Management System Using YOLOv5 and ML Intelligence, https://zenodo.org/records/15827591
• Tongue Pre-cancer Stages Classification using Machine Learning, IJISRT, September 2021. https://ijisrt.com/tongue-precancer-stages-classification- using-machine-learning
• Tongue Cancer Classification using Color and Texture Features, IJISRT, March 2018.

• Presented machine learning and AI-powered diagnostics for early detection of oral pre-malignant and malignant lesions at the International Conference on Knowledge Engineering and Information Systems (KEIS-2025)
• Presented advanced machine learning approaches for the detection of oral premalignant lesions at the 9th International Conference, ICETS'25 (2025).
• Presented quantitative analysis of socioeconomic determinants on student mental health: a machine learning approach with policy implications at PiCET (2025), Parul University.
• Presented yoga pose detection and classification using ensemble learning with stacking method at the 2nd IEEE International Conference on Artificial Intelligence and Machine Vision (2025)..

• Participated in FDP on Smart Health: AI Solutions for Modern Healthcare Systems(2025)

• Completed NPTEL course on Machine Learning, Government of India (2025)

• Completed IBM course on Machine Learning (2025)

• Participated in FDP on A Systematic Way of Research Paper Writing(2025)

• Date of birth: 22/10/94
• Nationality: Indian
• Marital Status: Married

Dr. Manjit Dhirubhai Patel, HOD, Shree Bal Hanumaan Ayurvedic Mahavidhyalaya, Lodra, Gandhinagar

I hereby certify that the information provided by me is true to the best of my knowledge.