Dr .M.S. Hema is working as Professor and Head in Computer Science and Engineering (Data Science) department, SVCE. She has 25 years of experience in academics under various capacities. To her credit, she has 2 patent, 12 WoS indexed, 21 Scopus indexed and 17  other Journal Publications. She also presented 22 papers in various National and International conferences in the research areas such as health care analytics, machine learning techniques and data science.  She received young scientist seed money from Vision Group of Science and Technology(VGST), State government of Karnataka in the academic year 2016-17. She is a member of BoS, DAB, mentor for NBA and NAAC accreditation for various colleges. She also contributed as a speaker for various faculty development programmes. She is serving as active reviewer of SCI international journals such as IJCCC, sensor review and ISEKE. She has been a part of Technical Program Committee, Chair, and Co-chair for various International conferences. She has completed various courses from Coursera and NPTEL.

Post and Undergraduate Graduate courses few are

Service Oriented Architecture,

Operating systems,

Datamining and Data Warehousing,

Database Management Systems,

Object oriented analysis and design Data Structures (DS)

Principles of Programming Languages.

Machine Learning

Data Science

Information Retrieval Systems

• Bio informatics
• Machine learning
• Deep Learning
• Data Science
• Databases

Journals

1. N. Arunkumar, V. Pandimurugan, M. S. Hema, H. Azath, S. Hariharasitaraman, M. Thilagaraj, Petchinathan Govindan, “A Versatile and Ubiquitous IoT-Based Smart Metabolic and Immune Monitoring System”, Computational Intelligence and Neuroscience, vol. 2022, Article  9441357, 11 pages, 2022. https://doi.org/10.1155/2022/944135
2. M S, Hema., Niteesha Sharma, Y Sowjanya, Ch. Santoshini, R Sri Durga, & V. Akhila. (2021). Plant disease prediction using convolutional neural network. EMITTER International Journal of Engineering Technology, 9(2), 283-293. https://doi.org/10.24003/emitter.v9i2.640
3. Kanagaraj, S., Hema, M. S., & Nageswara Gupta, M., “Normalisation and dimensionality reduction techniques to predict parkinson disease using ppmi datasets”, Oxidation Communications, 43(1), 2020, 117–134
4. R Mahesh Prabhu,M S Hema, Srilatha Chepure, Nageswara Guptha, “Logistics Optimization in Supply Chain Management using Clustering Algorithms” , International Journal of Scalable Computing: Practice and Experience, Volume 21, Issue 1, 2020, pp. 107–114, DOI 10.12694:/scpe.v21i1.1628
5. Kanagaraj, S., Hema, M.S., Nageswara Gupta, M. “Machine learning techniques for prediction of Parkinson’s disease using big data”, International Journal of Innovative Technology and Exploring Engineering, Volume 8, Issue 10, August 2019, Pages 3788-3791. DOI: https://doi.org/ 10.35940/ijitee.J9977.0881019
6. Kanagaraj, M.S. Hema, M. Nageswara Gupta, “Environmental Risk Factors and Parkinson‟s Disease – A Study Report” International Journal of Recent Technology and Engineering, Vol.-7 Issue-4S2, pp. 412-41,2018
7. M S Hema, R Maheshprabhu, S Shalini, “Parkinson’s Disease – A Survey”, Indian Journal of Scientific Research.  17 (2), pp. 584-587, 2018
8. Hema M S, Nageswara Gutpha M and Prema Arokia Mary, “An Efficient Approach for Analyzing and Improving Data Quality in Data Integration”, International Journal of Pure and Applied Mathematics Vol.116 No. 12,pp.107-115, 2017 Doi: 10.12732/ijpam.v116i12.12
9. Hema M.S., Maheshprabhu R., Nageswara Guptha M. (2018) Data Access in Heterogeneous Data Sources Using Object Relational Database. In: Venkataramani G., Sankaranarayanan K., Mukherjee S., Arputharaj K., Sankara Narayanan S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. pp. 23-33 Springer, Singapore. DOI : https://doi.org/10.1007/978-981-10-7635-0_3
10. Hema M S , Nageswara Guptha M, “Data fusion in data federation using modified discriminative Markov logic networks”, International Journal of Advanced and Applied Sciences, 2016, Vol.3, Issue 8, pp.78-84, DOI: 10.21833/ijaas.2016.08.013
11. Saranya, K, Hema, MS, Chandramathi, S, “Data Fusion in Ontology based Data Integration”, 2014,IEEE Xplore, pp. 1-6 DOI: 10.1109/ICICES.2014.7033792
12. S. Hema, S. Chandramathi, “ Quality Aware Service Oriented Ontology Based Data Integration”, WSEAS Transactions On Computers, 2013, vol. 12, issue 12, pp.463-473
13. Hema M S, Chandramathi S, “Service Oriented Ontology Based Data Federation for Heterogeneous Data Sources”, Journal of Theoretical and Applied Information Technology, 2013, Vol.55, Issue No. 1, pp.126-136
14. S.Hema, S.Chandramathi, “Federated Query Processing Service in Service Oriented Business Intelligence”, Computer networks and Information Technologies, Springer, 2011, vol.142, pp. 337-340. DOI: 10.1007/978-3-642-19542-6_62