Dr Prashant Niranjan
Associate Professor
| Computer Science Engineering (AI&ML)
KLS Gogte Institute of Technology
Karnataka
Expertise:
Computer Science Artificial Intelligence
24
Publications
0
Projects
146
Scopus Citations
96
CrossRef
10 Years 8 Months Total Experience
Scopus
146
Citations
6
h-index
CrossRef
96
Citations
4
h-index
Google Scholar
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Professional Recognition
NPTEL SPOC Local Chapter
2026
IIT Madras
NPTEL SPOC Local Chapter
2025
IIT Madras
Community & Membership
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IEEE
MemberPersonal Details
Doctor of Philosophy
2023
Guru Nanak Khalsa College, Yamuna Nagar
Master of Technology
2014
Guru Nanak Khalsa College, Yamuna Nagar
Bachelor of Engineering
2011
N/A
Associate Professor
Oct 2025 – Present
KLS Gogte Institute of Technology
| Computer Science Engineering (AI&ML)
Assistant Professor
Jan 2016 – Sep 2025
KLS Gogte Institute of Technology
| Computer Science Engineering
Engineering and Technology
Scholarly Work
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Representative Fish Movement Patterns Using IOT and Deep Learning
Mr.Prashant Y. Niranjan
-
Application No. :
202341030909A
Filed :
30-04-2023
Published :
05-05-2023
Published
REAL TIME FINANCIAL SIGNAL REPRESENTATION AND TRADING USING NEURAL NETWORKS
Dr.Satyajee Vastava
Dr. Kiran S
Dr.Bulla Thirumalesh
Dr.G.Mohana Prabha
Dr. Shiva Johri
Ms.P.Privietha
Mr.Prashant Y. Niranjan
-
Application No. :
202211056740 A
Filed :
03-10-2022
Published :
14-10-2022
Published
A SYSTEM FOR PRIVACY PRESERVING DISEASE PREDICTION WITHCRYPTOGRAPHIC MACHINE LEARNING
DR. PAVAN KUNCHUR
-
Application No. :
202441004882
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
A Study on Internet of Things based Trigger Points with Deep Learning in Education System
10.1109/ICIMIA48430.2020.9074974
Scopus: 1
A Novel Method to Solve Real Time Security Issues in Software Industry Using Advanced Cryptographic Techniques
Open AccessLogistic Regression versus XGBoost: Machine Learning for Counterfeit News Detection
Internet of things based e-hooding in a smart city
Improve code search via reformulating queries with evolving contexts
Neurodegenerative disorder diagnosis using support vector machine and Naive bayes algorithms
IoT and artificial intelligence enabled state of charge estimation for battery management system in hybrid electric vehicles
Proposed Model for Document/Answer extraction using Machine Learning Techniques
Showing 1 to 8 of 24 publications