Dr Kanisha B
Associate Professor
| Department of Computing Technologies - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
28
Publications
2
Projects
180
Scopus Citations
165
CrossRef
13 Years 10 Months Total Experience
Scopus
180
Citations
7
h-index
CrossRef
165
Citations
7
h-index
Google Scholar
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Professional Recognition
98% placement for G1 section 2018-2022 batch
2022
SRM IST
Teaching and Research
2022
SRMIST, Kattankulathur
Certificate of excellence
2022
Samsung Research Institute-Bangalore
Community & Membership
BIS Club
Resource PersonACM
AnnualISTE
LifetimeOWSD
Life TimePersonal Details
Doctor of Philosophy
2018
Sultan Qaboos University, Muscat
Master of Engineering
2006
Sultan Qaboos University, Muscat
Associate Professor
Aug 2020 – Present
SRM Institute of Science and Technology
| Department of Computing Technologies - KTR
Associate Professor
Sep 2019 – Aug 2020
Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College
Associate Professor
Jun 2012 – Mar 2019
Indra Ganesan College of Engineering
Engineering and Technology
Scholarly Work
Interacting Google Assistant using Google Assistant Service in Text & Voice modes
CompletedSmartWatchIntelligent Quick Controls for IOT EcoSystem| Improved User Experiences on Watch
CompletedNo Data Found
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Design System of Sensor Fusion with Machine Learning for the Detection of Dangerous Driver Behavior
Kanisha B
Rekha et al
-
Patent No. :
202241050930
Filed :
06-09-2022
Published :
16-09-2022
Published
Cyber security with cloud based Automated Payroll with GPS Tracking system using Image Processing Technique
SRMIST
-
Patent No. :
202241021625
Filed :
11-04-2022
Published :
22-04-2022
Published
Scholarly Publications
Enhanced Fire and Smoke Detection Utilizing Yolov8: A Deep Learning Approach
Speech transaction for blinds using speech-text-speech conversions
Study on Class Imbalance Problem with Modified KNN for Classification
Analysis of Multiple Toxicities Using ML Algorithms to Detect Toxic Comments
KNN Based Peak-LOF for Outlier Detection
Forecasting stock market price using LSTM-RNN
Improving Accuracy for Flight Fare Prediction using Random Forest Algorithm
Prediction of Rheumatoid Arthritis using Deep Learning Techniques
Showing 1 to 8 of 28 publications