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 ID | 52250 | ||||
| Intercom | |||||
| Educational details | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2019 | Computer Science and Engineering. | S ‘O’A Deemed to be University, BBSR | ||
| M.Tech | 2009 | Computer Science and Engineering | S ‘O’A Deemed to be University, BBSR | ||
| B.E./B.Tech | 2003 | Computer Science and Engineering. | BPUT, Odisha | ||
| Research Details | |||||
| Areas of Specialization | Machine Learning, Deep Learning, Data Analytics, Data Mining | ||||
| ORCID ID | https://orcid.org/my-orcid?orcid=0000-0002-2866-6985 | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57201073039 | ||||
| H-index (scopus) | 4 | ||||
| Google Scholar ID | https://scholar.google.com/citations?user=QKWJG0MAAAAJ&hl=en | ||||
| i10 index | 5 | ||||
| Patent Published Details | |||||
| Patent Published Title | Patent Published Application No. | ||||
| A DIGITAL DEVICE BASED HELMET FOR INDUCING SAFETY OF THE USER
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202031007190 A
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| A HYBRID ODIA SYSTEM FOR SEARCH ENGINES
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201931052949 A
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| IOT BASED INTEGRATED DEVICE AND SYSTEM FOR HEALTH ANALYSIS | 201931039857 A
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| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| Performance of Machine Learning Techniques Before and After COVID-19 on Indian Foreign Exchange Rate | Springer, Singapore | 2022 | |||
| Analysis and Prediction of COVID-19 Pandemic | CRC Press | 2022 | |||
| Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Tools | Springer, Singapore | 2021 | |||
| Classification of credit dataset using improved particle swarm optimization tuned radial basis function neural networks | Springer, Cham | 2019 | |||
| 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 | |||||
