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Ms. Prabha Susy
Mathew

Assistant Professor
Department of CSA

Qualification: Registered for PhD
Current Status: Assistant Professor, Department of CSA
Date of Joined: 11th April 2022
Total Experience: 11.5 Years
Teaching : 11.5 Years
Industry : 6 months


Ms. Prabha Susy Mathew has received her M.C.A, M.Phil and M.Tech degrees in Computer Science from Hindustan University, Annamalai University and Dr. MGR University Chennai. She has an academic experience of over 11 years in teaching B.Tech, MCA,BCA,MBA ,M.Com students in various universities. Her research interests include AI and ML.


Publication : Journal Paper

1. High Secure Biometric Cipher Application for Online Ballots in CiiT International Journal of Biometrics and Bioinformatics Print: ISSN 0974 – 9675 & Online: ISSN 0974 – 956X – July 2012
2. Impact of Digitization on music Industry in the Recent Times”, in proceedings of international journal of Management and social Science Research Consortium, ISSN: 2319 -4421 Volume 2, Issue 9 ,September 2013.
3. Big Data Solutions in Healthcare: Problems and Perspectives, Print ISBN 978-1-4799-6817-6, IEEE Xplore -2015
4. Alumini Association Portal, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 11 (2018) pp. 9387-9390 © Research India Publications. http://www.ripublication.com
5. Boosting Traditional Healthcare-Analytics with Deep Learning AI: Techniques, Frameworks and Challenges. In: Hassanien AE., Taha M.H.N., Khalifa N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. (2021).https://doi.org/10.1007/978-3-030-52067-0_15
6. Accepted for publication in ICON 2021 proceedings,ACL Anthology (national)

Publication : Book Chapter

1. Big Data Challenges and Solutions in Healthcare: A Survey , Chapter: Innovations in Bio-Inspired Computing and Applications Volume 424 of the series Advances in Intelligent Systems and Computing pp 543-553 Print ISBN 978-3-319-28030-1, Springer International Publishing Switzerland-2016

2. Applications of IoT in Healthcare –-Lecture Notes on Data Engineering and Communications Technologies, Vol. 14, In book titled Cognitive Data Science Methods and Models over Internet of Things (IoT), Springer, Cham,print ISBN 978-3-319-70687-0, pp 263-288, 2018

3. Impact of Virtual Reality in Healthcare: A Review , Source Title: Virtual and Augmented Reality in Mental Health Treatment, Copyright: © 2019 | IGI Global. Chapter 2, Pages: 17-31,DOI: 10.4018/978-1-5225-7168-1.ch002

4. Big data, Geospatial technology, Iot & cloud computing for health systems, Source Title-Adaptive HMIS – concepts, cases and practical applications, fourth edition. 2019 Jones & Bartlett Learning, Chapter 4, Technology review II, pp.112-124

5. Leveraging Artificial Intelligence (AI) during the Coronavirus pandemic: Applications and Challenges. Chapter 4. pp 63-80. 1st Edition. Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data.COVID-19 and Beyond. DOI: 10.1201/9781003158684-4. ISBN 9780367746063. 2021.Chapman and Hall/CRC.

6. Extended Reality Based Remote Learning Experience During Pandemic: Effectiveness and Barriers. In: Pillai A.S., Guazzaroni G. (eds) Extended Reality Usage During COVID 19 Pandemic. Intelligent Systems Reference Library, vol 216. Springer, Cham. https://doi.org/10.1007/978-3-030-91394-6_2.

7. Artificial intelligence in the management of neurological disorders: its prevalence and prominence. Chapter 10, Pages 193-221, In: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence, Academic Press, 2022, ISBN 9780323900379, https://doi.org/10.1016/B978-0-323-90037-9.00002-3.

8. Artificial intelligence–assisted headache classification: a review, chapter 7, Pages 145-162, In: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence, Academic Press, 2022, ISBN 9780323900379, https://doi.org/10.1016/B978-0-323-90037-9.00007-2.

FDPs

1. Attended one week FDP on “Data Analytics Tools and Visualization” organised by Chalapathi institute of engineering and technology held from 16th to 21st August 2021
2. Attended Online Faculty Development Program on “Artificial Intelligence & Machine Learning “held from 22nd to 26th November 2021, organized by Department of Information Technology, Sir C.R.Reddy College Of Engineering, in association with the Centre for Continuing Education, NIT Warangal.

Presentation : International Conference

1. Effectiveness of cloud analytics in enterprise computing: An empirical study- International Conference on Business Intelligence and Analytics-2013 at IIMB
2. Big Data Solutions in Healthcare: Problems and Perspectives ,2015., IEEE Sponsored International Conference, Embedded and Communication systems (ICIIECS) 2015.

Workshops

1. Attended zoom workshop on “Increasing citation score”
2. Attended zoom workshop on “Systematic Review Workshop”

Brief summary

Ms. Prabha Susy Mathew has received her M.C.A, M.Phil and M.Tech degrees in Computer Science from Hindustan University, Annamalai University and Dr. MGR University Chennai. She has an academic experience of over 11 years in teaching B.Tech, MCA,BCA,MBA ,M.Com students in various universities. Her research interests include AI and ML.

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