Dr. Vishal Sahebrao Badgujar
Also known as: Vishal S. Badgujar, Badgujar V. S., Badgujar, V.S., Badgujar, Vishal S., Vishal Sahebrao Badgujar, Badgujar, Vishal Sahebrao, Badgujar Vishal Sahebrao, Badgujar, V.
A. P Shah Institute of Technology, University of Mumbai
About
Dr. Vishal Sahebrao Badgujar is currently associated with the A. P. Shah Institute of Technology, Thane as an Assistant Professor in the Information Technology Department.
He has completed his Ph.D. in Computer Engineering from Mumbai University, He received a Bachelor of Engineering Degree from North Maharashtra University and a Master's Degree from Computer Engineering from the Sardar Patel Institute of Technology, Mumbai University.
He has authored over 20+ publications in refereed international journals and conferences along with 2-books, 2-patent, 7 copyright. His research interests are in cyber security, AI, open-source technologies, data science, cloud computing, and automation.
Employment
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A. P Shah Institute of Technology Assistant Professor2015 - Present
Education
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University of Mumbai PhD in Computer Engineering2022 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- VSecureSphere: Developing Virtual Lab for Simulating Safe Environment for Multiple Cyber-Attack Patterns Save
- ProjectSpace: A Comprehensive Framework for Automated Project Guide Allocation in Academic Institutions Save
- MAOMLB: Advancing Malware Analysis with AI-Based Open-Source Architecture Integrating Machine Learning and Behavioral Techniques Save
- BAOSAML: Behavioral AI-Based Open-Source Architecture for Malware Analysis Using Machine Learning Save
- Deep Learning-Based Hierarchical Attention Mechanism for Risk Prediction Save
- ChatApsit: A Generative AI-Based Comprehensive Web Framework for an Educational Institute Save
- Varishta Rakshak: An AI-Based Comprehensive Web Framework for Ensuring Senior Citizen Care in Real Time Save
- Spaced Repetition Based Adaptive E-Learning Framework Save
- Smart UAV Framework for Multi-Assistance Save
- On Trade Cloud Ecosystem Structure for Shared Learning Save