About Department
The Department was established in 1997 with the MCA course. Later in the year 2000, the M.Sc. in Computer Science was introduced, followed by B.Sc. in Computer Science. The Department is known for its prolific culture of academic exercises including regular workshops and seminars, project work and personality development sessions and extra-curricular activities such as quizzes, coding competitions and other fun events. Special attention is given to job and career aspirations of students who are guided towards taking competitive examinations such as GATE, NET and NIMCET as well as entry-level exams for PSUs. Every year a good number of students from the department get placed in national firms, renowned MNCs and start-ups.
Vision
The vision of the Computer Science Department is to be an exemplar of the field of computing, through the pursuit of computing research, education, and practice to the highest standard of excellence. To be recognized as a leader committed to excellence in Computer Science education, research and innovation.
Mission
- To create a center of excellence for in field of research.
- To create a environment with high ethical standards for professional growth of students and faculty.
- To train the students as per the latest technology by upgrading the curriculum and laboratory facilities.
- To engage students in developing application projects individually as well as in a team for solving challenging problem.
DR. ALOK RANJAN TRIPATHY
H.O.D
hod_cs@ravenshawuniversity.ac.inCourses Offered
Faculty
Publications
| Serial No | Author | Title | Name of the Publisher | Journal Link |
|---|---|---|---|---|
| 1 | DR. ALOK RANJAN TRIPATHY | Rath, S., Tripathy, A., & Tripathy, A. R. (2020). Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model. Diabetes & metabolic syndrome: clinical research & reviews, 14(5), 1467-1474. | ELSEVIER Scopus Indexed,SCI / SCIE / ESCI Indexed |
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| 2 | DR. ALOK RANJAN TRIPATHY | Pati, A. K., Tripathy, A. R., Nandi, D., Thakur, R. R., Ðurin, B., Dogančić, D., & Fetoshi, O. (2025). Fluoride risk prognostication: A pioneering ensemble machine learning approach for groundwater contamination prediction in parts of the east coast of India. Water, 17(6), 909. | MDPI Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed |
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| 3 | DR. ALOK RANJAN TRIPATHY | Pati, A. K., Tripathy, A. R., Nandi, D., Thakur, R. R., & Pandey, M. (2025). Irrigation water quality prognostication: An innovative ensemble architecture leveraging deep learning and machine learning for enhanced SAR and ESP estimation in the east coast of India. Journal of Environmental Chemical Engineering, 13(3), 116433. | ELSEVIER Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed |
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| 4 | DR. ALOK RANJAN TRIPATHY | Pati, A. K., Tripathy, A. R., & Subudhi, S. (2025). Intelligence frameworks for environmental pollution assessment: a review on air and water quality monitoring systems. Measurement, 119122. | ELSEVIER Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed |
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| 5 | DR. ALOK RANJAN TRIPATHY | Pati, A. K., Subudhi, S., Acharya, B. M., & Tripathy, A. R. (2026). Machine Learning‐Based Assessment of Groundwater Quality in Urban Odisha: A Case Study of Cuttack and Bhubaneswar. Environmental Quality Management, 35(3), e70280. | WILEY Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed |
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