Dr. N. Poornima

Assistant Professor
Area: Machine Learning, Data Mining, Semantic Web, Data Science
Affiliation: Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology.
Email: poornimn1@srmist.edu.in

Other Details:

Courses

• Data Mining and Analytics, Design and Analysis of Algorithms, Programming for Problem Solving, Visual Programming

Research Interests

• Information Retrieval, Health Care

Selected Publications

• With B.Saleena, “An automated approach to retrieve lecture videos using context based semantic features and deep learning”, Sādhanā, Springer, 45, 254, 2020. (SCI & Scopus indexed, IF: 1.188)
• With B.Saleena, (2018). “Multi-modal features and correlation incorporated Naive Bayes classifier for a semantic-enriched lecture video retrieval system” The imaging science journal, Taylor & Francis, 66(5), 263-277, 2018. (SCI & Scopus indexed)
• With B.Saleena, “Automatic annotation of educational videos for enhancing information retrieval.”, Pertanika Journal of Science and Technology, 26(4):1571-1590, 2018. (Scopus indexed).
• With Shivam Agrawal, B.Saleena, “Prior ontology selection and query translation for information search” Asian Journal of Pharmaceutical and Clinical Research, Special Issue, 499-501, 2017

Papers Presented

• Meta-Learning based Adaptive Crop Price Prediction for Agriculture Application, IEEE International Conference on Electronics, Communication and Aerospace Technology-ICECA, Coimbatore, 2021 (Scopus)
• N.Poornima and Ravi. (2012). Verifiers Secure Node Identification, Conference Title. 3rd National Conference on Information, Communication & Networking (NCICN-2012).
• N.Poornima and Ravi. (2012). Protective Identification of legitimate nodes by verifiers check, Conference Title. International Conference on Innovative Computing & Information Processing (ICICIP-2012).
• N.Poornima and Ravi. (2012). Identification of legitimate nodes using verifiers in wireless networks, Conference Title. National Conference on Computing and Communication (NCCC’12).

Working Papers

• Meta learning based crop data analytics, 2022.
• Swift and Secure Medical Data Transaction, 2022.

Work in Progress:

• A deep learning system for detecting diabetic retinopathy.

Academic Experience

• Assistant Professor, SRM Institute of Science and Technology, Aug 2020-till date.
• Assistant Professor junior, Vellore Institute Technology, Jan 2019-Mar 2020.
• Teaching cum Research Assistant (TRA), Vellore Institute Technology, Aug 2014-Nov 2018.
• Assistant Professor, MNM Jain Engineering College, 2013-2014.

Other Professional Experience

• Research Trainee, Vi Microsystems pvt. Ltd., Perungudi, Chennai, 2012.

Workshops /Seminars/Conferences

• Faculty Development Programme on “Making Sense with Data” organised by School of Computing, SRMIST, Kattankulathur in association with the TCS held from 5th July to 6th July 2021.
• Coordinated Online National Workshop on Game Development organised by Department of Software Engineering, School of Computing, SRMIST, Kattankulathur held from 11th Feb to 12th Feb 2021.
• Five-days Short Term Training Programme on “Big Data, Machine Learning and deep Learning: The paradigm shift” organised by Department of Computer Science and Engineering, SRMIST, Vadapalani campus held from 14th -18th December 2020.
• Three-Day Online Workshop on “How Teachers Can Make a Difference” organised by Indian Institute of Technology Madras held during December 15 - 17, 2020.
• Winter school on “Computational Intelligence: Fundamental Theory & Practical Applications” organised by School of Computing Science and Engineering, VIT Chennai held during 2nd -6th January 2017.
• Second Conclave on Big Data Analytics organised by School of Computing Science and Engineering, VIT-Chennai held during 21st & 22nd April 2016.

Memberships:

• Institution of Engineering and Technology, 2012.