Machine Learning Can Tackle Complex Societal Challenges, Say Experts at DSMNRU Conference

Machine Learning Can Tackle Complex Societal Challenges, Say Experts at DSMNRU Conference

A conference on machine learning and predictive analytics, bringing together experts, researchers, and students to discuss emerging technologies and new research opportunities.

Campus Times | Lucknow

Dr. Shakuntala Misra National Rehabilitation University hosted a national conference on “Machine Learning and Predictive Analysis Using Computational Sciences,” bringing together academicians, researchers and students from across the country to discuss emerging technologies and new research opportunities.

Organised by the Department of Computer Science and Engineering under the Faculty of Engineering and Technology (FOET), the conference aimed to promote research in computational sciences and provide a collaborative platform for experts and scholars.

Inaugurating the event, Arun Mohan Sherry, Director of Indian Institute of Information Technology Lucknow, said machine learning and predictive analytics are not only driving technological advancement but are also helping address complex societal challenges in sectors such as healthcare, education, transportation and governance.

Insights on Machine Learning

Experts from leading institutions shared insights on the evolving dimensions of machine learning and predictive analytics. Speakers included Bhaskar Biswas of Indian Institute of Technology (BHU) Varanasi, Tapobrata Lahiri of Indian Institute of Information Technology Allahabad, Puneet Mishra from University of Lucknow, Upendra Kumar of Institute of Engineering and Technology Lucknow, and Anil Kumar Pandey of SRMML Lucknow.

The conference was held under the guidance of Vice-Chancellor Sanjay Singh and Registrar Rohit Singh. Conference convener and FOET Dean C. K. Dixit said the event provided students and research scholars an opportunity to learn about advanced technologies and research methodologies.

The event was coordinated by Gaurav Goyal, Anjani Kumar Pandey and Adarsh Vardhan Srivastava.

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