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Dr. Trilok Nath Pandey

Assistant Professor

Email: triloknath.pandey@vit.ac.in

PhD: Institute of Technical Education and Research,
SOA Deemed to be University

Research Area: Machine Learning, Deep Learning, Data Analytics

Employee ID52250
Intercom 
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2019Computer Science and Engineering.S ‘O’A Deemed to be University, BBSR
M.Tech2009Computer Science and EngineeringS ‘O’A Deemed to be University, BBSR
B.E./B.Tech2003Computer Science and Engineering.BPUT, Odisha
Research Details
Areas of SpecializationMachine Learning, Deep Learning, Data Analytics, Data Mining
ORCID IDhttps://orcid.org/my-orcid?orcid=0000-0002-2866-6985
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=57201073039
H-index (scopus)4
Google Scholar IDhttps://scholar.google.com/citations?user=QKWJG0MAAAAJ&hl=en
i10 index5
Patent Published Details
Patent Published TitlePatent Published Application No.
A DIGITAL DEVICE BASED HELMET FOR INDUCING SAFETY OF THE USER

 

202031007190 A

 

A HYBRID ODIA SYSTEM FOR SEARCH ENGINES

 

201931052949 A

 

IOT BASED INTEGRATED DEVICE AND SYSTEM FOR HEALTH ANALYSIS201931039857 A

 

Book / Book Chapter Published Details
TitlePublisherYear
Performance of Machine Learning Techniques Before and After COVID-19 on Indian Foreign Exchange RateSpringer, Singapore2022
Analysis and Prediction of COVID-19 PandemicCRC Press2022
Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning ToolsSpringer, Singapore2021
Classification of credit dataset using improved particle swarm optimization tuned radial basis function neural networksSpringer, Cham2019
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis. Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, South Korea, 2020.
A review and empirical analysis of neural networks based exchange rate prediction, Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, South Korea,2019
Major International Collaboration Details – Industry collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration

Dr. Trilok Nath Pandey

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