Jai Prakash Verma

Jai Prakash Verma is working as an Associate Professor in Computer Science and Engineering Department. He has been associated with the department since July 2006. Dr Verma received his BSc (PCM) and MCA degree from University of Rajasthan, Jaipur and PhD degree from Charusat University, Changa in the area of Text Data Summarization and Analytics. His research interests include Data Mining, Big Data Analytics, Graph Data Analytics and Machine Learning. He has been contributing to the research in the area of said domain with several publications in international conferences and journals. He is actively involved in conducting various training programmes including customized training on Big Data Analytics to Naval officers at INS Valsura, Indian Navy and SAC-ISRO, Ahmedabad scientists.

Publications

Quantum Computing and Supply Chain Management: A New Era of Optimization
Quantum Computing and Supply Chain Management: A New Era of Optimization
Ahdi Hassan, Pronaya Bhattacharya, Pushan Kumar Dutta, Jai Prakash Verma, Neel Kanth Kundu. © 2024. 519 pages.
Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time...
Classifying Malignant and Benign Tumors of Breast Cancer: A Comparative Investigation Using Machine Learning Techniques
Classifying Malignant and Benign Tumors of Breast Cancer: A Comparative Investigation Using Machine Learning Techniques
Meshwa Rameshbhai Savalia, Jaiprakash Vinodkumar Verma. © 2023. 19 pages.
Breast cancer is the second major cause of cancer deaths in women. Machine learning classification techniques can be used to increase the precision of diagnosis and bring it...
Evaluation of Pattern Based Customized Approach for Stock Market Trend Prediction With Big Data and Machine Learning Techniques
Evaluation of Pattern Based Customized Approach for Stock Market Trend Prediction With Big Data and Machine Learning Techniques
Jai Prakash Verma, Sudeep Tanwar, Sanjay Garg, Ishit Gandhi, Nikita H. Bachani. © 2022. 16 pages.
The stock market is very volatile and non-stationary and generates huge volumes of data in every second. In this article, the existing machine learning algorithms are analyzed...
Crowdsourced Social Media Reaction Analysis for Recommendation
Crowdsourced Social Media Reaction Analysis for Recommendation
Jaiprakash Vinodkumar Verma, Sudeep Tanwar, Sanjay Garg, Abhay Dinesh Rathod. © 2021. 19 pages.
A pre-analysis is always important for crucial decision making in many events where reviews, feedback, and comments posted by different stakeholders play an important role....
Evaluation of Pattern Based Customized Approach for Stock Market Trend Prediction With Big Data and Machine Learning Techniques
Evaluation of Pattern Based Customized Approach for Stock Market Trend Prediction With Big Data and Machine Learning Techniques
Jai Prakash Verma, Sudeep Tanwar, Sanjay Garg, Ishit Gandhi, Nikita H. Bachani. © 2019. 15 pages.
The stock market is very volatile and non-stationary and generates huge volumes of data in every second. In this article, the existing machine learning algorithms are analyzed...