Dr Vinola C
Associate Professor
| Department of CSE (IoT & Cyber Security including Block Chain Technology)
Sri Sairam College of Engineering, BANGALORE
Karnataka
Expertise:
Multidisciplinary Engineering
10
Publications
0
Projects
150
Scopus Citations
110
CrossRef
15 Years 4 Months Total Experience
Scopus
150
Citations
4
h-index
CrossRef
110
Citations
3
h-index
Google Scholar
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Professional Recognition
Topper (2%) Silver Medal
2023
NPTEL
NPTEL Discipline star award
2024
NPTEL
Topper (1%) Gold medal
2024
NPTEL
Community & Membership
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ISTE
Life Time MembershipPersonal Details
Doctor of Philosophy
2020
Sultan Qaboos University, Muscat
Associate Professor
Dec 2022 – Present
Sri Sairam College of Engineering, BANGALORE
| Department of CSE (IoT & Cyber Security including Block Chain Technology)
Assistant Professor
May 2013 – Jan 2017
Francis Xavier Engineering College
Assistant Professor
Jul 2007 – Apr 2010
B.S. Abdur Rahman Crescent Institute of Science & Technology
Lecturer
Jan 2002 – Dec 2006
Mepco Schlenk Engineering College
Engineering and Technology
Scholarly Work
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ARTIFICAL INTELLIGENCE BASED WEARABLE VIRTUAL DOCTOR TO MANAGE AND CARE PROVIDE THE PATIENTS DATA IN
SRI SAIRAM COLLEGE OF ENGINEERING
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Application No. :
202341073235 A
Filed :
27-10-2023
Published :
12-01-2024
Published
Scholarly Publications
Data Privacy and Confidentiality in Healthcare Applications of IoT-Enabled Wireless Sensor Networks
Secure Data Transmission in the WSN Sector Utilizing a Heuristic Multi-Level Clustering Mechanism With Dynamic Trust Computation
Fake Product Identification System Using Blockchain: A Comprehensive Anti-Counterfeiting Solution with Machine Learning Integration
Enhanced Cerebral Stroke Onset Classification via a Hybrid 3D ConvNeXt-Transformer with Temporal Cross-Attention and Lightweight Multi-Scale Fusion
Hybrid Machine Learning and Multimodal Fusion Techniques for Obstructive Sleep Apnea: A Systematic Review
Smart Tracking and Surveillance Systems for Automated Delivery Robots in Food and E-Commerce Systems
Cloud Security Analysis using Machine Learning Algorithms
Smile intensity recognition in real time videos: fuzzy system approach
Showing 1 to 8 of 10 publications