P. Persis Glory

1. Petri net Models and Non-Linear Genetic Diseases, Proceedings of 2010 IEEE Fifth International Conference on Bio Inspired Computing Theories and Application, Vol- 2, pp. 1466 – 1470, 2010.
2. Analysis of Subclasses of the Petri Net Model for Non-Linear Genetic Diseases, International Journal of Computing Technology, Vol II, No 2, pp. 201 – 206, 2011.
3. Modelling P systems with the class of hierarchical Petri Nets for the synthesis and secretary pathway of plasma membrane – Glycoprotein, Proc. of the international conference on Sustainable Innovations in Global Business Scenario pp. 253 – 258, 2011.
4. A Multiset Rule Based Petri net algorithm for the synthesis and Secretary Pathway of Plasma Membrane – Glycoprotein, International Journal on Soft Computing, Vol 2, No 4, pp. 25 – 35, 2011.
5. Workflow Net Modelling Using WoPeD for the Effects of Inhibitors in the Synthesis and Processing of N-Linked Glycoprotein, International Journal of Systems Biology, Vol 3, No 1, pp. 25 – 29, 2012.
6. Training Fuzzy Neural Petri Nets (FNPN) through Back Propagation Algorithm using OOPS, International Journal of Advanced Computing, Vol 35, No 12, pp. 422 – 429, 2012.
7. Advanced Image Steganography Using ELSB Algorithm, Proc. of the 2nd national conference on Recent Advances in Computing and Communications pp. 24 – 26, 2015.

Research in experimental and theoretical domains of Networking:
Learning algorithms on Bio-inspired computations with the use of Petri Nets, and Computational Biology, the research focuses on repetitions of diseases occurring due to non-linear genetic diseases and the pathway of plasma membrane in an individual and the effects of inhibitors in the Synthesis and Processing of N-Linked Glycoprotein in the human body. With Fuzzy Neural Network, the research proposes a novel hybrid approach combining multilayer neural networks for common psychiatric diseases and diagnosis to store a large number of medical records, each of which includes information on symptoms, diagnosis and treatment. The developed model using OOPS, not only takes the descriptive advantages of Petri nets, but also has neuron learning and knowledge reduction ability. Experimental training is done on neural network to diagnose the medical and psychiatric disease using back propagation algorithms.

With the teaching experience of 18 years, the Subjects taught for the past 5 years are, Software Engineering, Relational Database Management System, Data Structures, Digital Circuits, Data Communications and Networking, Web Designing, Programming in ‘C’, ‘PHP’/MYSQL, Data Visualization using Tableau and Python Programming.

1. Presented a Paper entitled “A Study on learning Petri net models and its implementations” in a National Conference on Emerging Trends in Automata ETA’ 07 on 06th October 2007.
2. Presented a paper entitled “Gender Transformation in Society” in an International Conference on “Researching for Transforming the Society” held on 18th and 19th February 2008.
3. Presented a Paper entitled “Learning Petri net models for High Risk Assessment of a Disease” in a National Conference on “Cryptography, Automata and Learning Theory” held 28th & 29th April 2009.
4. Presented a paper entitled “Modeling P systems with a class of Hierarchical Petri nets for the synthesis and Secretary Pathway of Plasma Membrane – Glycoprotein” in an International Conference on Sustainable Innovations in Global Business Scenario held on 14th and 15th September 2011.
5. Presented a paper entitled “Learning Perceptron for Fuzzy Neural Petri Nets (FNPN)” in a National Conference on KB to TB in evolutions held on 13th and 14th September 2012 and the paper received the Best Paper Award.
6. Presented a paper entitled “Advanced Image Steganography Using ELSB Algorithm” in a National Conference on Recent Advances in Computing and Communications held on 26th and 27th March 2015.
7. Presented a paper entitled “The Importance of Society, Behaviour and Beliefs in Cyberbullying” at an International Conference on Recent Trends in Computing and Information Technology held on 11th and 12th February 2022.