| Employee Code / ID No. | 10206008 |
| Qualifications | PhD |
| Orcid ID | https://orcid.org/0000-0001-9835-3100 |
| Industry / R & D Experience | 3.6 years |
| Email ID | [email protected] |
| Alternate E-mail ID | [email protected] |
| Mobile No (Optional) / Intercom Extension No. | 141 |
| Areas of Interest / Current Research | Artificial Intelligence,DataScience ,Machine Learning,Cellular Automata |
| Research, Consultancy, Publication | Research Publication
Journals U. Srinivasa Rao L. Jeganathan ,Tessy Mathew, has published a paper titled “Error Bounds for Darboux Integral of Continuous Functions with Supremum Norm Using Cellular Automaton” in International Journal of Control Theory and Applications ISSN : 0974-5572, Volume 9, 2017 Tessy Mathew, L.Jeganathan, Srinivasa Rao ,Cellular Automata model for new investors for safe investment based on expert recommendation”, International Journal of Economics and Business Research-2017 Tessy Mathew, L.Jeganathan, Srinivasa Rao, Cellular Automata for decision making in stock trading- Journal of Computational Econometrics -2015 Conferences Jayalekshmi and Tessy Mathew has published a paper ” Multimodal Sentimental Analysis-A study on classification Techniques for Multimodal Sentimental Analysis” in International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol. 4, Issue 9, September 2016. An efficient image categorization approach using deep belief network Ms. Tessy Mathew and Bini B S, “Study of Clustering Approach for Stock Market Prediction”, National Conference on Innovation in Communication and Network ICONET’15, March 31 2015 Bini B S, Ms. Tessy Mathew, “Clustering and Regression Techniques For Stock Prediction”, ICETEST 2015 Koshy George, Ms. Tessy Mathew, “Big Database Stores – A review on various big data datastores”, ICGCIoT 2015 Anjana Ramesh, Binu G Nair, Poornima V and Ms. Tessy Mathew, “Predictive Analytics of Breast Cancer”, MBCET Journal of Research, Vol. 4, Issue 2, Nov 2015 Ms. Tessy Mathew,Mr.L.Jeganathan and Ms.Elizebeth Sherly “NSE Stock Index prediction using NARX and SVM Techniques”, International Conference on Advances in Computing, Communication and Information Science, 2014 Ms. Tessy Mathew,Mr.L.Jeganathan ,Vijaya ,Kalyani DesikanAn Ensembled Neural Network Classifier for Vehicle Classification using ILD, Published in Communications in Computer a Information Science series(CCIS) volume 0270 |
| Ph.D Research Guidance ( Research Scholar, E-mail ID, Research Topic/ Tentative Thesis Tittle) | KTU Research Guide |
| Academic / Professional Outreach Activities | Delivered sessions on 6 day online AICTE sponsored STTP on topics “Advanced RNN for video Analysis“ organized by Marian Engineering College during 26th to 31st July 2021 , 9th to 14th Aug 2021 and 23rd to 28th Aug 2021
Delivered an expert lecture on the topic “Artificial Intelligence and Influence of Mathematics” in the webinar on Recent Recent trends in applied Mathematics conducted by dept of Mathematics, KumbalathuSankupillai Memorial Ddewaswom Board College Sasthamkotta May 2021 Delivered sessions on AICTE sponsored STTP on “Recent Advances and research domains in machine learning” organised by Department of CSE,LBS Institute of Technology for Women during 02.01.2021 Delivered sessions on 6 day online AICTE sponsored STTP on “High Performance Computing and Deep Learning for Image, Text Analysis” at MBCET during 22.02.2021 to 27.02.2021 Delivered sessions on IET sponsored Faculty Development Program on Performance Improvement in Smart Grid using Artificial Intelligence Techniques at MBCET during Nov 2020 |
| Membership in Professional bodies/ organizations | Computer Society of India |
| Community Outreach Activities | — |
| Awards / Distinctions / Rank / Other Achievements if any | KTU Syllabus Revision Member(KTU 2019 Scheme) Coordinator-AICTE Sponsored High Performance Computing and Deep Learning for Image, Text Analysis” at MBCET ,2021 Judge CSI INAPP Project 2021 Doctoral Committee member (KTU)Colloborative project with SCTIMSTFunded Projects guidedAutomated Detecteion of Liver Cancer using deeplearning -Kerala State Council for Science, Technology and Environment Project Identifying tesing idiolects using transformers- CERD fundedProject Indoor navigation aid for the visually challenged -Center for Disability Studies-CEDS Travelling aid for Visually challenged people -Center for Disability Studies-CEDS Weather Prediction using Deep neural Network -Sponsoring agency-MBCET Prostate Segmentation of MRI using CNN -Sponsoring agency-MBCET |