Dr Pretty Diana Cyril C
Assistant Professor
| Department of Computing Technologies - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise:
Computer Science Interdisciplinary SCI
32
Publications
0
Projects
200
Scopus Citations
200
CrossRef
18 Years 3 Months Total Experience
Scopus
200
Citations
5
h-index
CrossRef
200
Citations
5
h-index
Google Scholar
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ISTE
Life TimeACM
AnnualPersonal Details
Doctor of Philosophy
2019
N/A
Master of Engineering
2010
N/A
Bachelor of Technology
2005
N/A
Assistant Professor
Aug 2020 – Present
SRM Institute of Science and Technology
| Department of Computing Technologies - KTR
Associate Professor
Jun 2008 – Jul 2020
Loyola Institute of Technology
Engineering and Technology
Scholarly Work
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PREDICTING AUTONOMOUS VEHICLE BEHAVIOUR USING COMPUTER VISION AND A CLOUD-BASED WEB SERVICE
Dr. S. Geetha
-
Application No. :
202241027201 A
Filed :
11-05-2022
Published :
17-06-2022
Published
RAPID TRANSACTION TECHNIQUE USING FLEXIBLE BLOCKCHAIN CONFIGURATION IN INDUSTRIAL IOT NETWORKS
Dr. S. Geetha
-
Application No. :
202141008443 A
Filed :
01-03-2021
Published :
05-03-2021
Published
AN ELECTRONIC MEDICAL RECORD DATABASE SYSTEM USING BLOCKCHAIN-ENABLED KEY-VALUE STORAGE SYSTEM
Dr. S. Geetha
-
Application No. :
202041055389
Filed :
19-12-2020
Published :
29-12-2020
Published
SCRUTINIZING AND IDENTIFYING ROAD ACCIDENT VICTIMIZATION USING WIRELESS TECHNOLOGY
Dr. I. Daniel Lawrence
-
Application No. :
202041051954 A
Filed :
28-11-2020
Published :
11-12-2020
Published
Scholarly Publications
Pupil Detection with Emotional Analysis
Malicious Cyber Attacks on Blockchain Handled Using Machine Learning Algorithm
Percepti Alarm: A Beacon of Safety and Autonomy Leveraging OCR and ML
10.1109/IITCEE64140.2025.10915333
Scopus: 1
Role and Challenges of Emerging Technologies in Healthcare Application
Evolutionary algorithm-based solutions for energy efficiency in wireless sensor networks
10.4018/979-8-3693-7600-3.ch008
Scopus: 1
AI Modeling for Dynamic Optimization of SLA Based Virtual Machines Utilization
AI-Augmented IIoT: Using Edge-based Deep Learning to Improve Industrial Intelligence and Reduce Network Congestion
AI-Driven Scalable Deep Learning for Real-Time Industrial NLP with Hybrid and Multimodal Integration
Showing 1 to 8 of 32 publications