Natesan Srinivasan

Ph.D.

COMPLETED

Dr. Kaushik Mukherjee, Upwind Based Numerical Methods for Time-Dependent Singularly Perturbed Problems with Boundary and Interior Layers, April 2010 . Presently, Associate Professor, Department of Mathematics, Indian Institute of Space Science & Technology (IIST), Tiruvanathapuram, Kerala, India.
Dr. Jugal Mohapatra, Parameter-Uniform Numerical Methods for Singularly Perturbed Convection-Diffusion Boundary-Value Problems Using Adaptive Grid, May 2010. Presently, Associate Professor, Department of Mathematics, National Institute of Technology (NIT), Rourkela, Orissa.
Dr. Pratibhamoy Das, Robust Numerical Schemes for Singularly Perturbed Boundary-Value Problems on Adaptive Meshes, May 2013. Presently, Assistant Professor, Department of Mathematics, Indian Institute of Technology (IIT), Patna.
Dr. S. Gowrishankar, Uniformly Convergent Numerical Schemes for Singularly Perturbed Parabolic Partial Differential Equations on Adaptive Grid, March 2014. Presently, Associate Professor, Department of Mathematics, National Institute of Technology (NIT), Patna.
Dr. Abhishek Das, Parameter-Uniform Numerical Methods for Singularly Perturbed Delay Parabolic Partial Differential Equations, 2017. Presently, Assistant Professor, Presently, Assistant Professor, Department of Mathematics, Vellore Institute of Technology (VIT), Vellore.
Dr. Anirban Majumdar, Robust Numerical Methods for Singularly Perturbed Parabolic PDEs with Interior and Boundary Layers, 2017, Presently, Assistant Professor, Indian Institute of Information Technology, Design and Manufacturing,Kurnool.
Dr. Maneesh Kumar Singh, Analysis of Robust Computational Techniques for Singularly Perturbed System of Parabolic Partial Differential Equations, 2018. Presently, Research Associate in Computational Mathematics, Department of mathematics at Imperial College London.
Dr. N. Balasubramani, A study on Fractal Interpolation in Shape Preserving and in Numerical Methods for Ordinary Differential Equations, 2019 (Jointly with Prof. M.G.P. Prasad), Presently, Assistant Professor, Department of Mathematics, National Institute of Technology (NIT), Tiruchirappalli.
Dr. Gautam Singh, Superconvergence Analysis of the Discontinuous Galerkin Method for Singularly Perturbed Differential Equations, 2020, Presently, Assistant Professor, Department of Mathematics, National Institute of Technology (NIT), Tiruchirappall.
Dr. Avijit Das, Error Analysis of the Streamline-Diffusion FEM for Singularly Perturbed Differential Equations, 2022, Presently, Assistant Professor, Department of Mathematics, National Institute of Technology Silchar.
Dr. Mrityunjoy Barman, Analysis of Parameter-Uniform Numerical Methods for Singularly Perturbed Differential Equations with Two Parameters, 2023, Presently, Assistant Professor, Department of Computer Science and Engineering at SOA University, Bhubaneswar.
Dr. Sandip Maji, Convergence Analysis of Numerical Methods for Fractional Differential and Integro-Differential Equations, 2024.

Mathematics Genealogy Project

ONGOING

Mr. Aniruddha Seal, Numerical Methods for Fractional Differential Equations
Mr. Saurabh Bansal, Numerical Methods for Black-Scholes PDEs
Ms. Jaspreet Kaur Anand, Numerical Schemes for Solving Fractional Black-Scholes PDEs of Computational Finance
Mr. Aayushman Raina , Finite Element Method for Higher-Order Singular Perturbation Problems
Mr. Sachin Kumar , Weak Galerkin FEM for Black-Scholes PDEs Governing Europen Options
Mr. Ramesh Ojha, Efficient Numerical Techniques for Solving Black-Scholes PDEs Arising in Computational Finance
Mr. Suraj Kumar, Numerical Solution of High-Order Singularly Perturbed Problems
Mr. Arijit Paul, Numerical Solution of Singularly Perturbed Problems
Mr. Santhana Kumar V, Numerical Methods for Fractional_order Differential Equations

M.Sc.

Mr. Vikas Gupta, Fitted Numerical Methods for Singular Perturbation Problems, 2005.
Mr. Briti Sundar Deb, Robust Numerical Methods for Singularly Perturbed Differential Equations, 2006.
Mr. Arunjyoti Sarmah, Numerical Methods Based on Radial Basis Functions for Boundary Layer Problems, 2007.
Mr. Dennis Gabil Momin, Numerical Methods For Singularly Perturbed Parabolic Initial-Boundary-Value Problems, 2007.
Mr. Ambati Narendar Reddy, Two-Point Boundary-Value Problems with Interior and Boundary Layers, 2008.
Mr. Bhaskararao Boddu, Computational Methods for Option Pricing, 2008.
Ms. Jyothsna, Differential Algebraic Equations, 2008.
Mr. S. Gowrisankar, Efficient Numerical Methods for Differential Equations Exhibiting Boundary Layers, 2009.
Mr. S. Rajesh, Singularly Perturbed Differential Equations, 2009.
Mr. Mayank Dwivedi, Numerical Methods for Integral Equations, 2010.
Mr. Abhishek Das, Applications of Graph Theory in Ordinary Differential Equations, 2011.
Ms. Princy Nigam, Semigroup Theory and It's Applications, 2011.
Ms. Salwa Ali Khan, Lattice Boltzmann Methods, 2012.
Km. Surabhi, Numerical Solution of Hyperbolic Partial Differential Equations, 2013.
Mr. Dheerendra Singh, Fitted Operator and Fitted Mesh Methods for Singular Perturbation Problems, 2014.
Mr. Ajit Kumar, Control Problems on Differential Equations, 2015.
Mr. Gagandeep Naik, Perturbation Methods, 2016.
Mr. Amit Kumar, Numerical Methods for Integro-Differential Equations, 2016.
Ms. Daffi Chelsea Majaw, Theoretical and Numerical Solution of 1D Schrödinger Equation, 2017.
Mr. Shivam Kumar, Difference Equations, 2017.
Mr. Abhinay Verma, Numerical Solution of Fredholm Integral Equations of Second Kind, 2018
Mr. Dharmraj Chauhan, Semigroup Theory in Partial Differential Equations, 2018.
Ms. Tamnna Yadav, Iterative Methods for Sparse Linear Systems, 2019.
Mr. Pushkar Singh, Inverse Problems for PDEs, 2019.
Mr. Nobin Daimary, Numerical Methods for Fractional Ordinary Differential Equations, 2021.
Ms. Sukriti Saha, Numerical Solution of Fractional Partial Differential Equations, 2021.
Mr. Ananthu M S, Hand written text recognition of Malayalam and Hindi characters using deep learning, 2023.
Mr. Akash Debnath, Physics Informed Neural Networks, 2023.
Ms. Nightingale Daimari, Perturbation Method for Differential Equations, 2024.

B.Tech.

Mr. Abhishek Mehra, Hull and White One and Two Factor Model, 2011
Mr. Abilash Parida, Convergence of Numerical Solutions of Stochastic Differential Equations Modelling Financial Derivatives, 2012.
Mr. Paranjay Srivastava, Pricing of American Options Using High-Order Methods and Adaptive Mesh Techniques, 2012.
Mr. Rishi Raj Diwakar, Hamilton Jacobi Bellman (HJB) Equation in Finance, 2012.
Mr. Siddhartha Tyagi, Numerical Methods for Elliptic Equations with Discontinuous Coefficients and Singularly Perturbed Convection-Diffusion Problem, 2013.
Mr. Pranshu Anand, Numerical Methods for Space Fractional Diffusion Equation, 2015.
Mr. Ishant V. Wankhade, Numerical Methods for European and Asian Options, 2015.
Mr. Behalpade Tushar Ashokrao, Numerical Solutions of Stochastic Differential Equations, 2015.
Ms. Gudipati Gowthami, Higher-Order Schemes for Singularly Perturbed Differential Equations, 2015.
Priya and Neeraj Yadav, Numerical Solution of Hyperbolic PDEs, 2016.
Devevdra Ratnam and Kunal Kumar, Efficient Numerical Methods for Singularly Perturbed Parabolic PDEs, 2016.
Hitesh Mahipal and Mahendra Singh Chauhan, Numerical Solution of Integral Equations, 2016.
Aman Roonwal and Jaisal Singh, Numerical Methods for Linear and Nonlinear System of Algebraic Equations, 2016.
Piyush Paritosh and Rachit Jain, Portfolio Management Using Machine Learning, 2017.
Vaibhav Adlakha and Mukul Dilip Chaware, Bankruptcy Prediction Using Machine Learning Techniques, 2017.
Anuraag Khandagle and Ravi Teja Reddy Guntaka, Machine Learning for Portfolio Optimization, 2017.
Shashank Gautam and Chandan Kumar, Empirical analysis of Feature selection techniques & Deep learning algorithms, 2018.
Shalu Rungta and Vikram Kaviya, Machine Translation Model Using Recurrent Neural Networks, 2018.
Nagasai Bodepudi and Vijay Nadimpalli, Algorithmic Trading of BITCOIN - The Next Portfolio Weapon, 2018.
Arkadeep Das, P. Ramadoss, RBF Transformation on Deep CNNs As a Certified Defence Against Adversarial Attacks, 2019.
Aysuh Goyal, Harshmeet Singh, Predicting the Helpfulness of Rating of Amazon Reviews, 2019.
Ashish Kumar Poddar, Savya Sindhu Gupta, Image Painting Using Generative Adversarial Networks, 2019.
Sunil Beniwal, Sanjog Agarwal, Analysis of Model Based Collaborative Filtering Using Matrix Factorization, 2019.
Rajan Sukanth, Uddeshya Mathur, Artificial Intelligence (AI) Guided denovo Protein Folding, 2020.
Naveen Mathew, Muskan Agarwal, Advanced Factor Analysis Using ML and Statistical Techniques, 2020.
Nishant Jain, Himanshu Raj, Traffic Flow Estimation Using Video Surveillance Data, 2020.
Divya Kumari, Kuldeep Sharma, Credit Card Fraud Detection Techniques, 2020.
Arun Kumar, Tanya Chauhan, Lightweight Prediction Framework for Multivariate Time Series, 2021.
Dev Priya Goel, Kushagra Mahajan, Speech Emotion Recognition, 2021.
Divyansh Mangal, Mihir Yadav, Assamese handwritten character recognition using Convolutional neural networks, 2021.
Aditya Raj, Mayank Saharan, Handwritten Character Recognition for Tamil Font, 2021.
Mridul Garg, Assamese character recognition, 2022.
Pragati Ramesh Mahamune, Shubham Gandhi, Detecting Alzheimer's Dementia using Acoustic Emotion Recognition, 2022.
Jay Chhajed, Shivam Kumaar Arya, Handwritten Assamese Language Recognition, 2022.
Aakash Solanki, Alokveer Mondal, Liver Tumor Segmentation Using Transfer Learning, 2023.
Aman Kumar, Anul Rajeev, Enhancing Image Classification Performance Through Active Learning: A Comparative Analysis, 2023.
Harsh Kumar, Ashwani Kumar, Neural Network Purning, 2023.
Epanagandla Guru Sai Kumar, Anubhav Bajaj, Exploring the Effectiveness of Different Binarization Techniques, 2023.
Janhavi Lande, Agent-Based Simulations on Urban Traffic and Autonomous Vehicles, 2023.
Sameer Raj, Vaibhav Dawra, Sntiment Analysis for Online Reviews Using LLAMA 2, 2024.
Yashvi Panchal, Jash Kumar Roy, Credit Card Fraud Detection, 2024.
Pulivarthi Meghanadh, Priyanshu Kumar Jaiswal, Emotion Recognition and Sentiment Analysis using Bimodal data, 2024.
Srinath Venkatraman, Keshav Anand, Sentiment Analysis of Financial News Headlines & Stock Price Prediction, 2024.