Faculty Profile : Vanishri Arun received Bachelor of Engineering degree in Computer Science and Engineering in the year 1995 and Master of Technology in Software Engineering in the year 2009 from Sri Jayachamarajendra College of Engineering, Mysuru, India and currently pursuing Ph.D from Visvesvaraya Technological University, Belagavi, India in the area of Biomedical Informatics.

She is working in the capacity of Assistant Professor in the Department of Information Science and Engineering at JSS Science and Technology University, Mysuru, India. She has teaching experience of about 12 years at technical institutes and has industrial experience of about 8 years in software development. Her research interests include Bio-Medical Informatics, Machine Learning, Deep learning and Data Analytics.



Email Address
vanishriarun@jssstuniv.in
Education Qualification (All qualification including diploma)

B.E., M.Tech., (Ph D)

Journals Published

8

Conferences Presented

13

Research and Development projects submitted

AICTE - AQIS (RPS)

Research and Development projects Awarded

Result awaited

Training Programs attended
50
Training Programs conducted and coordinated
4
Awards

“Inter USB Data transfer device”, Patent Application Number : 201641032658, 2016.

Research Interests

Bio-Medical Informatics using Data Mining and Machine Learning techniques.

List of Publication

❖ “Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification”, International Journal of Interactive Multimedia and Artificial Intelligence, (2018), http://dx.doi.org/10.9781/ijimai.2018.10.001
❖ “Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort”, Symposium Series on Computational Intelligence, IEEE-SSCI-2018, 18 - 21 November, 2018, Bengaluru, India.
❖ “A Boosted Machine Learning Approach For Detection of Depression”, Symposium Series on Computational Intelligence, IEEE-SSCI-2018, 18 - 21 November, 2018, Bengaluru, India.
❖ “Diabetic Retinopathy Risk Prediction for Diabetics Using Nearest Neighbor Approach”, Emerging Research in Electronics, Computer Science and Technology - Proceedings of International Conference, ICERECT 2018, Springer Publication.
❖ “Decision Making for Heart Disease Detection Using Hybrid Neural Network-Particle Swarm Optimization Algorithm”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT | Volume 4 | Issue 6 | ISSN : 2456-3307.
❖ “Risk Factor Analysis of Diseases Using Machine Learning Techniques”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, © 2018 IJSRCSEIT | Volume 4 | Issue 6 | ISSN : 2456-3307.
❖ “Disease Classification and Prediction using Principal Component Analysis and Ensemble Classification framework.”, International Journal of Control Theory and Applications – 2017.
❖ “Evidence-based technological approach for disease prediction using classification technique”, Springer series "Lecture Notes in Networks and Systems”, 2017.
❖ “Meta-cognitive Neural Network Method for Classification of Diabetic Retinal Images”, IEEE Xplore 2016.
❖ “Mobile admittance of Health Information with privacy and analysis in Telemedicine”, International Conference on trends in Automation, Communication and Computing technologies (ITACT-2015) with technical co-sponsorship of IEEE.
❖ “Efficient job distribution among clinicians in telemedicine”, Indo-US Conference on Emerging trends in Healthcare:Lessons and Clinical and Translational Research, 2015.
❖ “Healthcare data analytics and operational data integration to analyze and abate the prevalence incidence of non-communicable diseases”, Indian Technology Congress - 2015.
❖ “Data analytics and operational data integration to reach out to rural masses for early detection of non-communicable diseases”, International Journals of Bio-Medicine., Nov 2015.
❖ “Privacy of Health Information in Telemedicine on Private Cloud”, International Journal of Family Medicine & Medical Science Research, published in Dec 2015.
❖ “Securely Mining Transactional Databases For Association Rules Using FDM”, International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT-2015).
❖ “Load balancing model for public cloud using switch mechanism”, Second International Conference on “Emerging Research in Computing, Information, Communication and Applications” (Elsevier)-2014.