Ravi Tomar
Also known as: Dr Ravi Tomar
University of Petroleum and Energy Studies
About
Dr Ravi Tomar is currently working as Associate Professor in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. He is an experienced academician with a demonstrated history of working in the higher education industry. Skilled in Programming, Computer Networking, Stream processing, Python, Oracle Database, C++, Core Java, J2EE, RPA and CorDApp. His research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51+ papers in different research areas, filled four Indian patent, edited 5 books and have authored 4 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young and Deloitte. Dr Tomar is officially recognized as Instructor for Confluent and CordApp. He has conducted various International conferences in India, France and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018, Academic Excellence and Research ExcellenceaAward by UPES in 2021 and Young Scientist Award by UCOST, Dehradun
Employment
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University of Petroleum and Energy Studies Associate Professor2013 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (39)
- A Novel Generative Adversarial Network-based Approach for Automated Brain Tumour Segmentation Save
- Crop Type Prediction: A Statistical and Machine Learning Approach Save
- Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches Save
- A Systematic Review of Knowledge Representation Techniques in Smart Agriculture (Urban) Save
- Correction: Hayat et al. Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Information 2022, 13, 275 Save
- Image Watermarking Approach Using a Hybrid Domain Based on Performance Parameter Analysis Save
- Study of Sentiment Analysis in Mental Health Using Speech Recognition and Image to Text Conversion Save
- Video super resolution using convolutional neural network and image fusion techniques Save
- Establishing Parameters for Comparative Analysis of V2V Communication in VANET Save
- A V2I BASED APPROACH TO MULTICAST IN VEHICULAR NETWORKS Save