MRIGNAINY KANSAL
Ajay Kumar Garg Engineering College, Netaji Subhas University of Technology, Guru Gobind Singh Indraprastha University
About
Currently working as Assistant Professor at Ajay Kumar Garg Engineering College, Ghaziabad, India. I have 5.5 Years of Teaching experience. Currently pursuing my PhD (Computer Science and Engineering) from Netaji Subhas University of Technology, New Delhi, India (A Central University). I completed my M.Tech. (Information Technology) from Guru Gobind Singh Indraprastha University, New Delhi, India in 2018 and B.Tech. (IT) from UPTU, Lucknow in 2015.
I have published research papers in reputed international Journals / Conferences. SCOPUS and UGC Approved Journals index my research papers. I also published 4 book chapters in the IGI Global Book series. I have attended more than 10 FDP, Workshops or Seminars. I qualified the GATE examination 2 times.
Membership of IEEE.
Employment
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Ajay Kumar Garg Engineering College ASSISTANT PROFESSOR2018 - Present
Education
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Netaji Subhas University of Technology P.hD2023 - Present
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Guru Gobind Singh Indraprastha University MTECH2016 - 2018
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Ajay Kumar Garg Engineering College BTECH2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (35)
- Enhancing Human Face Recognition Using a Hybrid CNN and Softmax Based Model Save
- Research on Engineering Applications in Multidisciplinary Sectors (Part 1) Save
- IoT-Enabled Real-Time Vehicle Monitoring and Wait Time Prediction System for Smart Fuel Stations Save
- A comprehensive analysis and sensitivity model for emotion detection in text Save
- An AI and ML-Enhanced Approach with IoT for Pothole Detection to Ensure Pedestrian Safety During Flooding Save
- An Analysis of Ethical Dimension of Machine Learning Models in Software Defect Prediction in Healthcare Sector Save
- An Online Platform for Timely Access to Medical Care with the Help of Real-Time Data Analysis Save
- Navigating the Quantum Computing Landscape of the Dark Web Save
- Enhancing Real Estate Price Prediction in Smart Cities: A Comparative Analysis of Machine Learning Techniques Save
- Real-time symptomatic disease predictor using multi-layer perceptron Save