Ph.D in Advance Machine Learning (computer science) PhD submitted, degree to be awarded on convocation, sept B.Tech in Computer science and
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1 Name Qualification Sonia Thomas Ph.D in Advance Machine Learning (computer science) PhD submitted, degree to be awarded on convocation, sept M.Tech in Computer science and Engineering. B.Tech in Computer science and Engineering.
2 RESUME Sonia Thomas PhD IIT Roorkee, Ad. Hoc faculty at NIT Jamshedpur. M.Tech (BIT MESRA)(Computer Science & Engg.), B.Tech (Computer Science & Engg.) Contact no.: / / ACADEMIC PROFILE: Academically, I have always maintained first class with distinction (above 75 %) throughout my education with no year gap in studies. 1. PhD in IIT roorkee. Joined IIT on July 2011, as a full time research scholar with MHRD scholarship under General (unreserved) category. Synopsis done on 28 th December Thesis submitted. PhD likely to be awarded by June PhD Title is Predictive models for parameters of seismic signals based on advanced machine learning 2. PG: MTech (in Computer Science & Engineering ) BIT Mesra Aggregate : 78.5 % Passed out : Graduation: B.Tech (in Computer Science & Engineering) KERALA university, (Trivandrum in KERALA) Aggregate marks : 76.2%. Passed out : th : ISC (Science Stream ) ST THOMAS,(Trivandrum, Kerala) Marks : 81.5 % Passed out : 2005
3 5. 10 th : ICSE Sarvodaya Vidhyalaya (Trivandrum, Kerala) Marks : 86.3 % Index marks (eng,maths,science) : 91 % passed out : 2003 GATE QUALIFIED : Qualified GATE in CS with percentile in I have been placed in INFOSYS, SATYAM as part of campus placements during M.Tech and B.Tech. (not joined as education in continuation, NO gap in education) 7. Residential Warden at Girls Hostel in IIT Roorkee. (May 2013-August 2014). M.Tech Thesis Topic: Genetic programming for pattern recognition Abstract: To recognize a brain signal characteristic ( Epileptic Spike ) using the concept of genetic programming (GP). The problem statement was to predict a pattern termed epileptic spike found in the EEG ( brain signal ) of an epileptic patient. Hence in this study, the application of soft computing to biomedical signal processing was explored. PhD related Work: Topic: Predictive models based on advanced machine learning algorithms for forecasting parameters associated with seismic signals. My area of interest is soft computing, artificial intelligence and machine learning. I am working on advanced machine learning algorithms, for prediction problems. Algorithms dealt are ELM, ANFIS, SVM, RVM, decision trees. A novel neuro fuzzy algorithm RANFIS (randomized ANFIS), which is hybrid structure of ELM and ANFIS
4 Publications: is proposed. 1. Sonia Thomas, G.N Pillai, Kirat Pal, Pushpak Jagtap, Prediction of Ground Motion Parameters using Randomized ANFIS (RANFIS), Applied soft computing, ISSN: [SCI journal, 5year Impact factor is 3.22]. Paper Online. doi: /j.asoc Sonia Thomas, G.N Pillai, Kirat Pal," Prediction of Peak Ground Acceleration using εsvr, νsvr and LsSVR Algorithm", Geomatics, Natural Hazards and Risk, ISSN: [Accepted SCI journal, Impact factor 1.31]. 3. Sonia Thomas, G.N Pillai, Kirat Pal, Adaptive Neural Fuzzy Inference System for prediction of ground motion parameter, REVISTA KASMERA, (ISSN: ) [SCI Journal (Accepted)] 4. Sonia Thomas, G.N Pillai, Kirat Pal, Prediction Model for Ground Motion Parameters Using Extreme Learning Machines, Neural Computing and Applications, ISSN: [SCI journal, Impact factor 1.57 (review completed awaiting editor`s decision)]. 5. Sonia Thomas, Significance of the Parametric Analysis of Seismic Signatures: A review on the various seismic signal parameters, DSIJ, Science, Engineering and management, Volume 1, Issue 1 bearing the ISSN no: ,2013 [Published] 6. Sonia Thomas, G.N Pillai, Kirat Pal, Prediction of Peak Ground Acceleration (PGA) using Artificial Neural Networks, Proc. of Int. Conf. on Advances in Computer Science, AETACS, ACEEE Conference Proceedings Series 02, Elsevier Publication. ISBN Paper Online: 7. Mohd Zuhair, Sonia Thomas et al Automatic Identification of an Epileptic Spike Pattern in an EEG Signal using ANN, Proceedings of the Third International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems
5 and Computing 258, DOI: / _79, Springer India [Published]
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