Ramesh VENKADACHALAM PALANI
Asst. Professor of Mathematics
Department of Mathematics
Central University of Tamil Nadu
Main Office: CLC 1b, Central University of Tamil Nadu, Thiruvarur, Neelakudy, Tamil Nadu 610005
Phone: +918300251729 / +919962551729
Email: vpramesh@gmail.com, rameshmat@cutn.ac.in
Our Pedagogical Initiative
Ph.D. Thesis Guidance:
 Thatchaayini R, A Note on Gauss's Theorem on primitive Roots (2018)
 Priyanga B, Design and analysis of an a priori mesh for singularly perturbed problems (2018)
 Prithvi M, Error estimates of numerical algorithms for singularly perturbed problems with discontinuous data (2019)
M.Phil. Thesis Guidance:

Saswati Sinha, Primitive roots in contrast to SemiPrimitive roots modulo n (2019)
Integrated M.Sc. Thesis Guidance: (1 year duration)
 Aarthi T, A few computations in the multiplicative group modulo n (2019)
 Ashish Sahoo, Benchmarking Machine Learning Algorithms for Optical Characters Recognition: Which one does it better? (2019)
 Anagha N V, Computing the Upper Bound of Phi Function of RSA Cryptosystem (2019)
 Anjali Sushil V, Relation Between Orbits and Strongly unequal permutations in S n and its Application in Solving sudoku (2019)
 Bharathi K, A Note on S. Sivasankaranarayana Pillai’s Theorem (2019)
 Mathew Alex, Pneumonia Detection on Chest XRays with Machine Learning (2019)
 Rupika T, Hand written digit Recoginition: An Empirical Comparison of Machine Learning Algorithms (2019)
 Sivaranjani N, Credit rating of consumers with little financial history  Risk Analysis (2019)
 Anjali P V, Stirling Numbers and Transpositions (2018)
 Athira S, Sales forecast using the method of Random forest (2018)
 Eyamuna N, Machine learning algorithm for image classification to distinguish dogs from cats (2018)
 Geethanjali K, Deep learning and image categorization using supervised learning algorithms for Human Computer interaction (2018)
 Kalaivani M, Machine learning algorithm to understand the deforestation of the amazon from space (2018)
 Kanimozhi C, Monitoring invasive species by convolutional neural network (2018)
 Mageshpriya D, A note on retractable module (2018)
 Manna Elza Joseph, Some techniques in image segmentation (2018)
 Rajeswari E, Market basket analysis using F1 score maximization (2018)
 Aswathi KV, Big data analytics on customer behavior using light GBM model (2018)
 Aishwarya R, Big Data Retail Analytics for Demand Planning (Using Artificial Neural Network) (2017)
 Favas L, Supervised Machine Learning Using Convolutional Neural Networks for Image Classification (2017)
 Jobin Idiculla, A Naive Bayes model for aspectlevel sentiment analysis of text data (2017)
 Makeshwari M, Zerosum problems in finite groups (2017)
 Preethi S, Talking Data Mobile User Demographics  Big Data Analytics (2017)
 Vijitha S, The Multinomial Logistic Regression for Big Data Analytics (2017)
 Aarthika, Computational number theory and visualization using open source software R (2016)
 Anitha L, Some Identities based on Cantors idea of height of the polynomial  A new concept (2016)
 Divya D, Pedagogy of machine learning using artificial neural network (simulating the human brain) (2016)
 Gowtham R , Computability and Complexity Analysis of Decision Problems (Charles Babbage  David Hilbert  Alan Turing) (2016)
 Preethi S, Artificial Neural Network based big data analytics for Winton Stock Market Challenge (Supervised learning system) (2016)
 Vengadesan N, Computational Number Theory and Visualization using Python (2016)
 Aarthi D, Computation of American option by CrankNicholson Method (2015)
 Manjula R, Computation of American Option (2015)
 Prithvi M, Sudoku and Directional Change of Lexicographic Permutations: A new theory (2015)
 Thatchaayini R, Combinations & Point wise Unequal Permutations with Applications to Sudoku (2015)
 Priyadharshini M, Open Source Software for Big Data Analytics : R (2015)
 Priyanga B, Regression for Big Data Analytics using R and Python (2015)
 Shiva Prakash YV, Health care Big Data Analytics  Predicting Diabetes: A Case Study (2015)
 Sowmitha R, Open Source Software for Big Data Analytics : Python (2015)
INSA Summer Intership Guidance
 Aayushi Kundalia, Big data analytics using Deep Learning Algorithms (2019)
 Sooraj Gupta, A few Predictive Machine Learning Algorithms (2019)
 Sahil Unagar, Deep Learning for Large Scale Image Classification Problem (2019)
 Hitha P R, Davenport Constant and Wieferich Primes (2018)
 Maria Jose K, Normal Order of ω(n) and Ω(n) (2018)
 Rohit Upadhya, Image Classification Using Convolutional Neural Networks (2018)
 Kutty Kumar, Intellectual Asset Valuation  Big Data Analytics (2018)
 Abrar Ahmad, Image classification Using Convolutional Neural Network (2017)
 Anjana Rajagopal, Comparison of different M estimators of Robust regression and Interactive visualization of data using R (2017)
 Febin John Sam, Deep Network Learning using (SnLU) Smooth nonlinear unit and Medical Machine Learning with Tensorflow (2017)