Academics

Bio

Prof. Jyoti Mante is an experienced educator with over 24 years of teaching experience.Jyoti's analytical and administrative skills are highly regarded by her peers and colleagues. She has a strong passion for teaching and has a keen interest in the latest developments in her field, including Security, IoT, and Machine Learning. Jyoti is committed to ensuring that her students receive the best possible education and is dedicated to their success.

Currently serving as the Programme Head for CSE and AI DS at the Department of Polytechnic and Skill Development, Jyoti plays a critical role in the development of the curriculum and course material. Her expertise in Security, Data Science, and Machine Learning has helped shape the curriculum and has ensured that students receive an education that is up-to-date with the latest industry trends.

Jyoti's exceptional knowledge, skills, and experience make her an invaluable asset to the Department of Polytechnic and Skill Development. Her dedication to teaching, coupled with her passion for the latest developments in her field, has made her a respected academic and a mentor to her students.

Research Areas

Security and Machine Learning

Publications List

1. American Sign Language Detection using Deep Learning

2. Critical Feature Selection (CFS) Techniques for Early DDoS Attack Detection in the Internet of Things Environment

3. A Hybrid Ensemble Machine Learning Approach (EHML) for DDOS Attack Detection in Smart City Network Traffic

4. Fast Automated Detection of COVID-19 from CT Images Using Transfer Learning Approach

5. Attack Detection in Internet of Things: A Systematic Literature Review

6. Smart Grid System and Efficient Location Finder for Renewable Power Plant based on One Sun One World One Grid

7.A Survey on IOT and 5G Network

Google Scholar link :https://scholar.google.com/citations?hl=en&user=R48tvV8AAAAJ&view_op=list_works&sortby=pubdate

Scopus link :https://www.scopus.com/authid/detail.uri?authorId=57983418300 https://www.scopus.com/authid/detail.uri?authorId=57217113564

ORCID link :https://orcid.org/0000-0002-0715-1878?lang=en