Prof. Bhoomi Bangoria
- Assistant Professor
- ICWSTCSC 2023
Contact Details
- Email: bhoomi.bangoria@dsuni.ac.in
Qualification
- M.E. (Computer Engineering),Gujarat Technological University, 2014
- B.E. (Computer Engineering), Saurashtra University, 2009
Work Experience
- Teaching: 14 Years 5 Month
- Industry:
- Total Experience: 14 Years 5 Month
Specilization
- C Language
- C++
- Programming Language
Subjects Taught
- C Language
- Data Structure
- Computer Organization
- Operating System
- C++
- JAVA
- ADA
- Information Network Security
- Compiler Design
- Cyber Security
- Artificial Intelligence
Research Area
Awards and Appreciations
Publications
Publication in Journal:
- A Framework: Secure Data Aggregation in Wireless Sensor Networks, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE ),Volume -1 (Issue – 5),2013, 3077-3082, ISSN 2278-8875 (Online)
- A survey on Efficient Enhanced K-Means Clustering Algorithm, International Journal for scientific research & Development (IJSRD), Volume – 1 (Issue – 9), 2013,1756-1758, ISSN 2321-0613
- Enhanced K-Means Clustering Algorithm to Reduce Time Complexity for Numeric Values,International Journal of Computer Science & Information Technologies (IJCSIT), Volume -5 (Issue – 1),2014, 876-879, ISSN 0975-9646 (Online)
- Mansukhlal, Enhanced K-Means Clustering Algorithm to Reduce Time Complexity for Numeric Values, International Journal of Advance Engineering and Research Development (IJAERD), Volume -1(Issue – 5), 2014, 1-9, e-ISSN: 2348-4470, p-ISSN:2348-6406
Publication in Conference:
- “A Comprehensive Study of the Destination Recommender System Employing Artificial Intelligence”, International Conference on “Women in Science & Technology: Creating Sustainable Career” (ICWSTCSC),2023
Patent Published:
- METHOD AND SYSTEM FOR CREATING AND SECURELY MANAGING VEHICLE IDENTITY RECORDS USING BLOCKCHAIN – 2021, A STATE OF THE ART METHOD AND SYSTEM FOR IMPLEMENTING INTERNET OF THINGS (IOT) IN AN AUTONOMOUS VEHICLE FRAMEWORK FOR EFFECTIVE MANAGEMENT OF TRAFFIC – 2022