Dr. A SHOBANA DEVI

Dr. A Shobana Devi

Assistant Professor

Email Id: shobanaa3@srmist.edu.in
Area: Machine Learning and Deep Learning
Affiliation: Department of DSBS, SRM Institute of Science and Technology, Kattankulathur Campus

Education

Other Details:

Courses:

• Multivariate Data Analysis, Data Analysis Using Multivariate Techniques and Forecasting Methods, Research Methodology, OOAD, IOT, Software Engineering, Computer Architecture, Object Oriented Design and Programming, Operating Systems.

Research Interests:

• Big Data Data Analytics, Data Science, Artificial Intelligence, Big Data Visualizations Machine learning and deep learning.

Selected Publications:

• Shobanadevi, A., Tharewal, S., Soni, M., Kumar, D.D., Khan, I.R. and Kumar, P., 2021. Novel identity management system using smart blockchain technology. International Journal of System Assurance Engineering and Management, pp.1-10.
• Shobanadevi Ayyavu, Maragatham, G., Prabu, M.R. and Boopathi, K., 2021. Short-Term Wind Power Forecasting Using R-LSTM. International Journal of Renewable Energy Research (IJRER), 11(1), pp.392-406. Short-Term Wind Power Forecasting Using R-LSTM, 2021
• Revathy, S.M., Rangaraj, A.G., Srinath, Y., Boopathi, K., Shobana Devi, A., Balaraman, K. and Prasad, D.R., 2021. Impact on solar radiation parameters in India during COVID-19 lockdown: a case study. International Journal of Sustainable Energy, pp.1-15.
• ShobanaDevi.A, Maragatham, G., Boopathi, K. and Prabu, M.R., 2021. Short-term solar power forecasting using satellite images. International Journal of Powertrains, 10(2), pp.125-142.
• Kadhirvel, B., Ramaswamy, S., Kirubaharan, V., Bastin, J., ShobanaDevi, A., Kanagavel, P. and Balaraman, K., 2020. Optimization of the wind farm layout by repowering the old wind farm and integrating solar power plants: A case study. International Journal of Renewable Energy Research (IJRER), 10(3), pp.1287-1301.
• ShobanaDevi, A., Maragatham, G., Boopathi, K. and Rangaraj, A.G., 2020. Hourly day-ahead wind power forecasting with the EEMD-CSO-LSTM-EFG deep learning technique. Soft Computing, 24(16), pp.12391-12411. LSTM model for prediction of heart failure in big data, 2020
• Maragatham, G. and ShobanaDevi, A., 2019. LSTM model for prediction of heart failure in big data. Journal of medical systems, 43(5), pp.1-13.
• Maragatham, G., 2018. Twitter Sentiment Analysis and Visualization Using Apache Spark and Elasticsearch. IACSIT International Journal of Engineering and Technology, 7(3.12), pp.314-321.

Papers Presented:

• Rangaraj A.G., ShobanaDevi A., Srinath Y., Boopathi K., Balaraman K. (2022) Efficient and Secure Storage for Renewable Energy Resource Data Using Parquet for Data Analytics. In: Sharma N., Chakrabarti A., Balas V.E., Bruckstein A.M. (eds) Data Management, Analytics and Innovation. Lecture Notes on Data Engineering and Communications Technologies, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-16-2937-2_19
• ShobanadeviDevi A, Maragatham, G., Boopathi, K., Lavanya, M.C. and Saranya, R., 2021. Long-Term Wind Speed Forecasting—A Review. Artificial Intelligence Techniques for Advanced Computing Applications, pp.79-99.
• ShobanaDevi, A.. and Maragatham, G., 2019. Big genome data classification with random forests using variantspark. In International Conference on Computer Networks and Communication Technologies (pp. 599-614). Springer, Singapore.
• Shobanadevi, A. and Maragatham, G., 2017, December. Studying the performance of clustering techniques for biomedical data using spark. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 58-65). IEEE.
• Shobanadevi, A. and Maragatham, G., 2017, December. Data mining techniques for IoT and big data—A survey. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 607-610). IEEE.

Working Papers:

• Rangaraj A.G., ShobanaDevi A.,” A Critical Review of Detecting Faults and Damages in Wind Turbine Blades” – Jan – 2022. [Submitted in Journal]

Work in Progress:

• Meenakhi K; Abirami Vina; A. ShobanaDevi, “Analysis of Student Attention in Classroom using Instance Segmentation”. In August 2021 3rd International coference on “Innovative Data Communication Technologies and Applicaton (ICIDCA 2021). [Yet to Publish]
• A. Shobanadevi and G. Maragathm, “Internet of Thing based Data Hiding Scheme for Wireless Communication”. In “Wireless Communications and Mobile Computing” – Hindawi Journal. [Accepted – Yet to Publish]
• A. Shobanadevi and G. Maragathm, “Internet of Thing based Data Hiding Scheme for Wireless Communication”. In “Wireless Communications and Mobile Computing” – Hindawi Journal. [Accepted – Yet to Publish]
• G. MARAGATHM and A. SHOBANADEVI, “Blockchain Based Online Health Care Recommendation Model”. “In International Journal of Autonomous and Adaptive Communications Systems” – Inderscience. [Under Revision]

Patents Published:

• Indian Patent titled “A Novel Technique for Digital Marketing Using Artificial Intelligence and Blockchain” published on 15-10-2021.
• Indian Patent titled “Method and Device for Predicting Psychotic Disorders” published on 09-10-2020.

Academic Experience:

• Assistant Professor, SRM Institute of Science and Technology, Potheri, October 2021-Present.
• Assistant Professor, Sathyabama Institute of Science and Technology, Chennai, April 2021 – October 2021.
• Research Scholar, SRM Institute of Science and Technology, Potheri, May 2017- July2021.
• Assistant Professor, Audisankara Institute of Technology, Gudur, January 2012 - December 2013.

Other Professional Experience

• Project Engineer, National Institute of Wind Energy (NIWE), Chennai, May 2019 – April 2021.
• Software Developer, Kusters Engineering Pvt. Ltd, Coimbatore, April 2010 – July 2011.
• Software Developer, Protechsoft Technologies Pvt. Ltd, Chennai, November 2007 – April 2010.

Workshops /Seminars/Conferences:

• Big Data computing on NPTEL with ‘ELITE’ Certificate - Oct2021.
• Certificate program on ―sustainable environment by Indian Society of Remote Sensing (ISRS), Chennai on April 2021.
• Participated and completed FDP on ―Applied Machine Learning and Data Science by AICTE in MAY 2021 at IIT, Dharwad.
• Attended national webinar on ―Computational approach for inferring molecular mechanisms in psychiatric disorder by IPR Chennai in May 2021 at SIST.
• Completed 3Days Faculty Development Program on ―Application Development with Android by E & ICT Academy, IIT Kanpur on June 2021.
• Participated a webinar on ―RIGHT TO INFORMATION ACT organized by Development of
• Mechatronics Engineering, SIST, Chennai on June 2021.
• Participated and completed FDP on ―Ability and Inability of AI by GIFT in June 2021.
• Attended national webinar on ―Art of Design Thinking in June 2021 at SIST.
• Attended national seminar on ―Intellectual Property Rights in June 2021 at SIST.
• Attended national webinar on ―A Start-Up in June 2021 at SIST.
• Attended national webinar on ―Benefits of IPR and Pattern filing procedures by IPR Chennai in June 2021 at SIST.
• Attended comprehensive webinar training on ―Research Paper Writing for PhD scholars in July 2021 at SIST.
• Participated and completed FDP on ―Social Robotics and AI organized by Electronics and ICT academies under the MEIT in July 2021.
• Participated in the international bootcamp on ―Demystifying practical inferential statistics with Data Science in July 2021 at SIST.
• Attended 3Days workshop on Data Visualization using Tableau from 14th July to 16th July through Pedagogy.
• Completed 1week Faculty Development Program on ―Advanced Excel with Data Visualization by
• E & ICT Academy, IIT Kanpur on July 2021.
• Participated and completed FDP on ―Technology transfer on data science, cloud & block chain by SIST in July 2021.
• Program on Insights into Research – Jun2017.
• Program on Developing applications for Android Platform – Aug2017.
• National Workshop on Machine learning – Sep2017.
• Workshop on Atmospheric Aerosols, Data Assimilation & Weather Modeling – Jan2018.
• Hands on training on Machine Learning Algorithms Using Python – Jan2018.
• Data Mining on NPTEL with ‘ELITE’ Certificate - Mar2018.
• Workshop on Advanced Spark Programming and Kafka – Mar2018.
• Seminar on Nature Inspired Computing – Mar2018.
• Workshop on How to write & publish the scientific articles and Manuscripts – Apr2018.
• National Seminar on Bioinformatics and Healthcare Informatics – Jul2018.
• Workshop on Image and Language processing using Pytorch – Sep2018.
• Deep Learning on NPTEL with ‘ELITE’ Certificate - Oct2018.
• Training program on Fuzzy Sets and Applications – Nov2018.
• Completed online courses in Deep Learning on COURSERA.
• Completed online courses in Machine learning on UDEMY.
• Attended the International Conference on Advance Computing Technology on the “Long-Term Wind Energy Forecasting –A review” at SRMIST, Kattankulathur.
• Attended Conference on “Advances in Renewable Energy and Green Technology - ICARE – 2019 (22nd - 24th August 2019) is organized by the Vellore Institute of Technology (VIT) college, Vellore.
• Attended the International Conference on Large-Scale Grid Integration of Renewable Energy 2019-2020 (4th - 6th August 2019) in NIWE.
• Attended Technical Workshop on the “Indigenous model for Solar Power Forecasting in Bangalore.
• Attended Prof. Dr. Annamani centenary International Conference on Wind and Solar Resource Assessment by NIWE.

Achievements and Awards:

• Won School Third Prize in SSLC Annual Examination 2001.
• No History of Arrears in B.E graduation during the Academic Year 2003-2007.
• Secured class Topper in third, fourth, & sixth semesters during my academic 2003-2007.