My research interests are broadly in the area of Artificial Intelligence, more specifically Machine Learning, Data Mining, Big Data Analytics and their applications in solving real life problems.

My current research involves analysis of healthcare data, deriving insights, predicting trends and outcomes, optimising resources, and providing recommendations.

My teaching interests include cross platform mobile application development, discrete mathematics, linear algebra, automata and formal languages, numerical methods, Python programming.

I am professional member of the British Computer Society (MBCS).

Research

Biography

My research interests are broadly in the area of Artificial Intelligence, more specifically Machine Learning, Data Mining, Big Data Analytics and their applications in solving real life problems.

My current research involves analysis of healthcare data, deriving insights, predicting trends and outcomes, optimising resources, and providing recommendations.

My teaching interests include cross platform mobile application development, discrete mathematics, linear algebra, automata and formal languages, numerical methods, Python programming.

I am professional member of the British Computer Society (MBCS).

Mr. Sanjeev K Cowlessur

Research/field of study:
Machine Learning, AI, Big Data, Data Mining, Recommender Systems, Healthcare.

Email:
[email protected]

Publications


Cowlessur, S.K., Annappa, B., Kavya Sree, B., Gupta, S., Velaga, C: Measuring the Influence of Moods on Stock Market Using Twitter Analysis. In: Proceedings of Fifth International Conference INDIA 2018 Volume 2, Mauritius, 2018.

Cowlessur, S.K., Annappa, B., Manoj Kumar, M.V., Thomas, M., Sneha, M., Puneetha, B.H: Alphabetic Cryptography: Securing Communication over Cloud Platform. In: Proceedings of Fifth International Conference INDIA 2018 Volume 2, Mauritius, 2018.

Cowlessur, S.K., Pattnaik, S, Pattanayak, B. K.: A Review of Machine Learning Techniques for Software Quality Prediction, Advanced Computing and Intelligent Engineering, pp. 537-549, Springer, 2020.

Any further inquiries?

Please contact on the following email: [email protected]