Centre for Machine Learning and Big Data Analytics

CMLBDA was formed in the year 2018 with the aim to grow as a sustainable centre of excellence in terms of research, innovation, development and new venture creation in Machine Learning, Big Data, Business Analytics, Information Retrieval and associated areas. Current thrust areas of work include ML algorithms for Big data analytics, Social network analysis, Social behavior analysis, Real-time event identification, Media bias, Web science and Issues in a smart city environment.
Our Aim
The centre fosters a culture of innovation, encouraging students and faculty to explore entrepreneurial ventures, start-ups, and applied research projects.
The CMLBDA aims to:
- To work in the areas of Data Mining, Machine Learning, Natural Language Processing, Network Analytics, Computer Vision, Web Science, Big Data, Information Retrieval and Deep Learning.
- o work in the areas of information diffusion in social media, bias and web privacy, healthcare, music information retrieval and action recognition in sports.

Industrial Collaboration
Centers like these are instrumental in advancing the field of data science, driving innovation, and creating a data-literate workforce for the future.

Stock Price Prediction Using Al – Copy
Priyank Sonkiya, Vikas Bajpai, and Anukriti Bansal. “Stock Price Prediction…
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Stock Price Prediction Using Al
Priyank Sonkiya, Vikas Bajpai, and Anukriti Bansal. “Stock Price Prediction…
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Technologies And Intelligent Computing
Vikas Bajpai and Anukriti Bansal. “Analysis of Long Term Trends…
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Multilingualism And Hybridity
Usha Kanoongo. 2021. “Multilingualism and hybridity in online interactions: A…
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Multilingualism And Hybridity
Usha Kanoongo. 2021. “Multilingualism and hybridity in online interactions: A translanguaging perspective” at the Sociolinguistic Symposium-23.

Technologies And Intelligent Computing
Vikas Bajpai and Anukriti Bansal. “Analysis of Long Term Trends of Rainfall in Jaipur.” International Conference on Advanced Network Technologies.

Stock Price Prediction Using Al
Priyank Sonkiya, Vikas Bajpai, and Anukriti Bansal. “Stock Price Prediction Using Artificial Intelligence: A Survey.” 2022 IEEE 7th International conference for Convergence in Technology.
Latest Research Publications
Providing students with opportunities for hands-on experience through projects, internships, and research collaborations.
Cryptocurrency Analytics And Price Prediction
Vikas Bajpai, Anukriti Bansal, Ashray Mittal, Pratyush Chahar, “Cryptocurrency Analytics and Price Prediction – A survey”, has been accepted for publication in the edited book with CRC Press on ” Applied Intelligence in Human Computer Interaction”. 2022
Vikas Bajpai, Anukriti Bansal, Stephen Vincent, Ahbigyan Agarwal, Kartikeya Sharma, “Prediction of Extreme Rainfall Events in Rajasthan “, has been accepted for publication in the edited book with CRC Press on ” Applied Intelligence in Human Computer Interaction”, 2022.
Prediction Of Extreme Rainfall Events
Emerging Telecommunications Technologies
Vikas Bajpai, Anukriti Bansal, Stephen Vincent, Ahbigyan Agarwal, Kartikeya Sharma, “Prediction of Extreme Rainfall Events in Rajasthan “, has been accepted for publication in the edited book with CRC Press on ” Applied Intelligence in Human Computer Interaction”, 2022.
Faculty Member
Mentors and external Consultants

Prof. Amit Sheth
AI Institute, University of South Carolina

Prof. Nishanth Sashtry
University of Surrey, UK

Dr. Balaji Kannan
Director – Data Science Travelport, USA
Our Project
No projects found.