This post was last updated on August 17th, 2026

Ms. Suraksha
Designation : Assistant Professor
Area of specialization : Computer Science & Engineering
Date of Joining BNMIT : 10/08/2026
Nature of Association (Regular/Contractual/Adjunct) : Regular
E-mail Id : surakshap@bnmit.in
No. of years of Experience : 3 Years 5 months
Qualification
| Degree | Institution | Month & Year of Passing | % of marks obtained |
| Ph.D | VTU | Perusing | |
| M.Tech | JSS University | 2016 | 72% |
| B.E | MITT | 2014 | 64% |
Experience: Teaching – 3 Years 5 Months
| SI. No. | Designation | Institution | Duration |
| 1 | Assistant Professor | VidyaVardhaka College of Engineering | March 8th 2023 to July 6th 2026 |
Awards and Achievements
- Nil
Invited Talks Delivered
- Delivered guest lecture on “Modern Web Development Essentials” for 2 nd PUC Students of Moraji Desai College
Academic Positions and other Responsibilities (University Level)
- Nil
Academic Positions and other Responsibilities (Institute and Department Level)
- Nil
Expertise / list of Subjects handled
- Database Management Systems
- Data Communication and Networks
- Software Engineering
- Computer Graphics and Visualization
- User Interface Design
- Software Testing
- Data Structures
Technical Skills
- Programming Languages: C, C++,Java,
- Operating systems: Windows, Ubuntu.
- Web Technologies: HTML, CSS, Javascript, PHP
Research Interests:
- Developed a PLS-SEM-based business model using Smart PLS to examine the factors influencing startup success, failure, and business sustainability.
Funding received
- NIl
Patents:
- Nil
Journal
- Published a Q2-ranked journal paper in Frontiers titled ‘Leveraging Compact Convolutional Transformers for Enhanced COVID-19 Detection in Chest X-rays: A Grad-CAM Visualization Approach’ – demonstrating advanced deep learning-based diagnostic insights.
- Submitted Q3 Journal paper titled “Hybrid Machine Learning Model towards Neuroimaging Analysis for Detection and Grading Brain Tumors
- Published a Scopus-indexed conference paper titled ‘Automated Unified System for LPG Refill Booking and Leakage Detection: A Pervasive Approach’ – integrating IoT and automation for safety and convenience.
Conference
- Presented the paper ‘Predictive Modelling of Autism Spectrum Disorder using Machine Learning Algorithms’ at the International Conference on Networks, Multimedia, and Information Technology
- Submitted paper titled ‘A Real-Time Framework for Abnormal Activity Detection in Crowd Videos Using Comprehensive Feature Sets and Bag of Feature Classifiers’ to the International Conference on Agrivolutions: Smart Farming with Renewable Energy, Machine Learning, and Embedded Technology
- Accepted IEEE conference paper titled ‘Traffic Signal Assistance for Visually Impaired Individuals using Arduino Uno with Voice Alerts’ to the International Conference on Emerging Technologies in Electronics and Green Energy (ICET-EGE).
Book / Book Chapters
- Nil
Patents Published:
- Smart Autonomous Vehicle Simulation and Relative Distance Estimation System
- IoT-Enabled Automated Medicine Dispenser for Continuous Recovery and Direct Observational Therapy
- Automated Unified System for LPG Refill Booking and Leakage Detection A Hybrid Defense Against Zero Day Intrusion -Patent Filed
Hobbies
- Reading books
- Dancing
- Swimming
- Traveling and exploring new places
Sports
Swimming
Music
- Listening to music
Any other things
- Yoga and meditation
- Volunteering for community service


