• Area of Interests:

Pattern Recognition, Machine Learning, Data Science and Analytics

• Continuing Education:
• International Conference/Faculty Development Programs Organized: 25
• Faculty Development Programs/Workshops Participated: 36
• Industrial Training Programs Participated: 5
• Certified course on “An Introduction to Interactive Programming in Python” by Rice University
• Accomplished online courses on “Automata” by Stanford University, “R Programming” by John Hopkins University

• C A Anjali and V Ramani Bai, An Early Prediction of Dropouts for At-risk Scholars in MOOCs using Deep Learning, IEEE International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), ISBN: 978-1-6654-6883-1, pp. 1-6,  DOI: 10.1109/IC3SIS54991.2022.9885328, IEEE, 2022.

• Poornima Sankar and Ramani Bai V, Survival Analysis on Relapse Predictions of Breast Cancer using Optimized ANN and Deepsurv Model, IEEE International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), ISBN: 978-1-6654-6883-1, pp. 1-6,  DOI: 10.1109/IC3SIS54991.2022.9885328, IEEE, 2022. 
• Poornima Sankar and Ramani Bai V, “Prediction of Relapse of Breast Cancer Using Artificial Neural Network”, in Proc. ACCESS '20: Int. Conf. on Advances in Computing, Communication, Embedded and Secure Systems, 2020, pp.08-09, ISBN 978-81-946084-0-0.

• Anjali C A and Ramani Bai V, “Analyzing The Learning Patterns And Predicting Student Dropouts In MOOCs”, in Proc. ACCESS '20: Int. Conf. on Advances in Computing, Communication, Embedded and Secure Systems, 2020, pp.19-20, ISBN 978-81-946084-0-0.

• Shahina KK, Ramani Bai V, “A Comparative Study of Survival Analysis Models”, in Proc. ICMESIT  '19 : Int. Conf. on Multidisciplinary Engineering Sciences And Information Technology, 2019, pp 2-6, May, 2019.

• Prince Mathew, Rahul Vijayakumar, Aju Tom Kuriakose, Jesmy Sunny and Ramani Bai V, "Optical Music Recognition using Image Processing and Machine Learning", International Journal of Computer Sciences and Engineering, E-ISSN: 2347-2693, Volume-06 , Issue-10 , Page no. 18-23, Nov-2018. [Online]. Available:https://doi.org/10.26438/ijcse/v6si10.1823.

• Ramani Bai V, Amith C A, Jacob M Oommen, Justin Babu, Thomas Paul, Vishnu Sankar, Predictive analysis for industrial maintenance automation and optimization using a smart sensor network , IEEE International Conference on Next Generation Intelligent Systems (ICNGIS), ISBN: 978-1-5090-0870-4, DOI: 10.1109/ICNGIS.2016.7854004, pp. 1-5. IEEE, 2016.

• Nikhil V Mathew and V Ramani Bai Analyzing the Effectiveness of N-gram Technique Based Feature Set in a Naive Bayesian Spam Filter IEEE International Conference on Emerging Technological Trends (ICETT) ISBN: 978-1-5090-3751-3, DOI: 10.1109/ICETT.2016.7873648, pp 1-5. IEEE, 2016.

• Ramani Bai, V. and Sivanandam, S.N. Extraction of Initial Approximant by Triangular Method and Extension of Routh-Hurwitz Criterion for Error Correction to Solve Real-Coefficient polynomial, International Journal of Systemics, Cybernetics and Informatics, ISSN: 0973-4864, A Pentagram Research Publication, pp. 17-23, 2012.

• Ramani Bai, V. and Sivanandam, S.N. A Numerical Algorithm for Best Approximation to Extract Quadratics from Ill?Conditioned Real Polynomial Equation, European Journal of Scientific Research Vol. 58, No.3, pp. 296?304, 2011.

• Sivanandam, S.N. and Ramani Bai, V. A Computationally Simplified Numerical Algorithm for Evaluating a Determinant, Springer Communications in Computer and Information Science, DOI: 10.1007/978?3?642?19542?6?15, Vol. 142, Part 1, pp. 88?95, 2011.

• Ramani Bai, V. and Sivanandam, S.N. An Intelligent Numerical Algorithm for Solving System of Linear Equations, ACM Digital Library, DOI: 10.1145/1858378.1858433, ISBN; 978?1?4503?0194?7, Article No: 55, 2010.

• Sivanandam, S.N. and Ramani Bai, V. A Computationally Simplified Procedure for Extracting Quadratics of Algebraic Polynomial, International Journal of Systemics, Cybernetics and Informatics, ISSN: 0973?4864, A Pentagram Research Publication, pp. 23?29, 2009.

• Sivanandam, S.N. and Ramani Bai, V. A Simple Procedure for Extracting Quadratics from a given Polynomial, International Journal of Engineering and Technology, ISSN: 0975?3397,Vol. 2, No. 1, pp. 28?34, 2009.

• Ramani Bai, V. and Sivanandam, S.N. Extraction of Initial Approximant by Triangular method and Extension of Routh?Hurwitz criterion for Error correction to solve Real?coefficient Polynomial, International Conference on Systemics, Cybernetics and Informatics, ICSCI 2012, Proceedings would be printed and marketed by American Institute of Physics (AIP), 2012.

• Sivanandam, S.N. and Ramani Bai, V. A Computationally Simplified Numerical Algorithm for Evaluating a Determinant, Second International Conference on Advances in Communications, Network and Computing, CNC 2011, ISBN 978?3?642?19541?9, pp. 88?95, 2011.

• Ramani Bai, V. and Sivanandam, S.N. An Intelligent Numerical Algorithm for Solving System of Linear Equations, Amrita ACM?W Celebration of Women in Computing, A2CWiC 2010, ACM (A2CWiC 2010 ) conference abstract proceedings, p.28, 2010.

• Sivanandam, S.N. and Ramani Bai, V. A Computationally Simplified Procedure for Extracting Quadratics of Algebraic Polynomial, International Conference on Systemics, Cybernetics and Informatics, ICSCI 2010, Vol. 1&2, pp. 388?393, 2010.
   

Awards/Recognition:

• Best Paper Award in Amrita ACM-W Celebration of Women in Computing, ACM A2CWiC 2010, Amrita University, Coimbatore
• Grants and Recognitions: Received Rs.2,00,000/- sanctioned by AICTE under Innovation Promotion Scheme (IPS) as Grant-in-aid for meeting the expenditure for implementing the scheme in 2013.

Chair/Resource Person:

• Chief Guest for the Inauguration of IT Fest RITI 4.0 at Vimala College for Women, Thrissur and Resource Person for the Technical Session on “National Economic Building – Empowering Women in AI” on 30-Aug-2019.
• Resource Person for the Technical Session on Introduction to AI&ML, Tools & Technologies during IEEE Women in Power Summit (WIPS) Pre-event held in Vidya Academy of Science and Technology on 5-Dec-2018.

Memberships

• Membership in Professional Bodies: MISTE, MCSI, MACM

• Guided students for M.Tech Thesis and B.Tech Industry Projects.

25 Industrial Training Programs Participated: 2 Certified course on “An Introduction to Interactive Programming in Python” by Rice University Accomplished online courses on “Automata” by Stanford University, “R Programming” by John Hopkins University