Dr. Vishal Sahebrao Badgujar

Mr. Vishal Badgujar is currently associated with the A. P. Shah Institute of Technology, Thane as an Assistant Professor in the Information Technology Department.

He has done Ph.D. in Computer Engineering at Mumbai University, He received a Bachelor of Engineering Degree from North Maharashtra University and a Master's Degree in 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, 5 copyright. His research interests are in cyber security, open-source technologies, data science, cloud computing, and automation.

EDUCATION

PhD in Computer Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Networks and Communications, Computer Science Applications, Artificial Intelligence

Scopus Publications

VSecureSphere: Developing Virtual Lab for Simulating Safe Environment for Multiple Cyber-Attack Patterns
Shivani Zagade, Mrunal Shardul, Siddhi Patole, Vishal Badgujar, Sneha Dalvi, Kiran Deshpande
Lecture Notes in Electrical Engineering, 2026
ProjectSpace: A Comprehensive Framework for Automated Project Guide Allocation in Academic Institutions
Prakruti H. Bhavsar, Akanksha P. Bhoir, Payal R. Gupta, Nimisha G. Idekar, Vishal S. Badgujar, Seema M. Jadhav, Kiran B. Deshpande
Lecture Notes in Networks and Systems, 2026
MAOMLB: Advancing Malware Analysis with AI-Based Open-Source Architecture Integrating Machine Learning and Behavioral Techniques
V. S. Badgujar, C. M. Raut, A. Pande
Journal of Applied Research and Technology, 2025
The sophistication in cyberattacks calls for new solutions so that malware can be properly dissected. This work presents the architecture of the AI open-source system that infuses novel machine learning models to increase the effectiveness of malware identification and analysis. Superior pattern recognition CNNs are exploited to analyze the patterns, along with LSTMs, while behavioral insights are inspected from the time-series data samples. Reduction in dimensions helps streamline data of large dimensionality for visualization, where PCA and t-SNE are often used. Markov chains and isolation forests are further applied for modeling behaviors and anomaly detection, respectively. Experimental evaluation on various benchmark datasets delivers outstanding results compared with the best available methods of an order of magnitude while improving precision by 8.3%, accuracy by 8.5%, recall by 9.4%, AUC by 10.5%, specificity improved by 5.9%, and further reducing detection delay by 2.9%. These results highlight robust detection and mitigation of variant malware attacks by the system. This manuscript describes an advanced AI-based open-source architecture, MAOMLB, which can enhance malware detection through techniques involving machine learning and behavioral analysis. Its performance appears to be better than that of existing methodologies, which suffer from major drawbacks, on metrics such as precision, recall, and AUC. It is open source and encourages community-driven enhancement for robust cybersecurity applications.
Deep Learning-Based Hierarchical Attention Mechanism for Risk Prediction
Vishal Sahebrao Badgujar, Chandrashekhar M. Raut
Lecture Notes in Networks and Systems, 2025
BAOSAML: Behavioral AI-Based Open-Source Architecture for Malware Analysis Using Machine Learning
Vishal Sahebrao Badgujar, Chandrashekhar M. Raut
Lecture Notes in Networks and Systems, 2025
ChatApsit: A Generative AI-Based Comprehensive Web Framework for an Educational Institute
Madhur Surendra Dukhande, Mayur Naresh Jain, Aryan Bhoja Amin, Kaushal Sanjay Nikam, Vishal Sahebrao Badgujar, Kiran Deshpande
Lecture Notes in Networks and Systems, 2024
Varishta Rakshak: An AI-Based Comprehensive Web Framework for Ensuring Senior Citizen Care in Real Time
Shivam Ramesh Gupta, Meet Nirmal Bohra, Yashab Hanif Mahimi, Rupesh Sheshnath Mishra, Vishal Sahebrao Badgujar, Kiran Deshpande, Shradha Sanjay Birje
Lecture Notes in Networks and Systems, 2024
On Trade Cloud Ecosystem Structure for Shared Learning
Vaibhav E. Narawade, Vishal S. Badgujar
Lecture Notes in Networks and Systems, 2022
AI-ML Based Smart Online Examination Framework
Swapnil Sapre, Kunal Shinde, Keval Shetta, Vishal Badgujar
Lecture Notes in Networks and Systems, 2022
Spaced Repetition Based Adaptive E-Learning Framework
Amit Kharwal, Neelay Umrotkar, Varun Godambe, Uttam Kolekar, Vishal Badgujar
Lecture Notes in Networks and Systems, 2022
Smart UAV Framework for Multi-Assistance
Vaishnavi Patil, Vaishnavi Potphode, Utkarsha Potdukhe, Vishal Badgujar, Kaushiki Upadhyaya
Smart Innovation Systems and Technologies, 2022
Automation of Supply Chain Management for Healthcare
Hitarth Saiya, Samyak Doshi, Jash Seth, Vishal Badgujar, Geetanjali Kalme
Lecture Notes in Networks and Systems, 2022
Artificial Intelligence based Security Orchestration, Automation and Response System
Rahul Vast, Shruti Sawant, Aishwarya Thorbole, Vishal Badgujar
2021 6th International Conference for Convergence in Technology I2ct 2021, 2021
Artificial Intelligence based Self-Driving Car
Hiral Thadeshwar, Vinit Shah, Mahek Jain, Rujata Chaudhari, Vishal Badgujar
4th International Conference on Computer Communication and Signal Processing Icccsp 2020, 2020
Case Study on an Android App for Inventory Management System with Sales Prediction for Local Shopkeepers in India
Tejal Tandel, Sayali Wagal, Nisha Singh, Rujata Chaudhari, Vishal Badgujar
2020 6th International Conference on Advanced Computing and Communication Systems Icaccs 2020, 2020
Study on Semi Automation in Uniform Faculty Appraisal System
Utkarsh Naik, Debashish Choudhury, Anagha Devade, Anagha Aher, Vishal Badgujar
2020 6th International Conference on Advanced Computing and Communication Systems Icaccs 2020, 2020
Autonetics and administration for IT laboratories
V. Karthikeyan, Uddhabendra Maity, Atharv Shetty, Sameer Nanivadekar, Vishal Badgujar
2020 International Conference on Convergence to Digital World Quo Vadis Iccdw 2020, 2020
ML Enabled Surveillance System for Societies
Pranav Chauhan, Sachin Gupta, Rohit Arava, Sameer Nanivadekar, Vishal Badgujar
International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2020, 2020
Study on feasibility of Uniform Appraisal System
Utkarsh Naik, Debashish Choudhury, Anagha Devade, Anagha Aher, Vishal Badgujar
International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2020, 2020
A Comprehensive Survey on Theoretic Perspective Providing Future Directions on IoT
Aniruddh Ajay Patil, Vishal Sahebrao Badgujar
2018 International Conference on Smart City and Emerging Technology Icscet 2018, 2018
All about Cloud: A Systematic Survey
Amit Gyandev Prajapati, Shankarlal Jayantilal Sharma, Vishal Sahebrao Badgujar
2018 International Conference on Smart City and Emerging Technology Icscet 2018, 2018
IoT-Key Towards Automation
Amisha Ashok Karia, Lavina Vijay Budhwani, Vishal Sahebrao Badgujar
2018 International Conference on Smart City and Emerging Technology Icscet 2018, 2018