Summary
Overview
Work History
Education
Skills
Personal Information
Publications
Google Scholar
Timeline
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Anto Nivin Maria Antony

Anto Nivin Maria Antony

Doctoral Researcher - Computational Science & AI
Halle

Summary

Scientific Researcher with a strong expertise in deep learning, computational science and data science. Quick learner with a strong track record in developing physics-aware deep learning solutions using Python, TensorFlow, PyTorch and MATLAB. Looking for opportunities to leverage my expertise in AI and computational science to solve real, complex engineering problems.

Overview

7
7
years of professional experience
9
9
years of post-secondary education
3
3
Languages

Work History

Doctoral Researcher - Computational Science & AI

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
09.2021 - Current
  • Investigated numerical methods to approximate linear elasticity PDE simulating the embryonic seed development in MATLAB.
  • Investigating efficient mathematical modeling of data driven physics based simulation of , handling different geometry and boundary conditions using deep learning.
  • Processing of raw data and performing data analysis and data visualization in Python.

Project Engineer - AI & Computer Vision

VisAI Labs by E-Con Systems
03.2021 - 08.2021
  • Expertise in developing object detection models, including YOLO and MobileNet SSD architectures.
  • Application software development with C++.

Research Associate - AI & Computer Vision

Cogniable IIT Delhi
10.2020 - 02.2021
  • Development of video classification framework with deep learning using 3D Convolutional Neural Networks (3D CNN) for early detection of autism spectrum disorder in children.
  • Implemented a full pipeline for creating the data for video classification from raw videos and timestamps from XML files.

Control System Software Engineer

Vestas Technology R&D
08.2018 - 01.2020
  • Application software development for different systems in wind turbines using C++ like switchgear, generator, etc.
  • Processing a large amount of operational data using SQL and exploratory data analysis.
  • Experienced with GitLab version control and Agile methodologies (Scrum).

Education

Ph.D. - Computational Science & AI

Otto Von Guericke University Magdeburg - Institute For Analysis And Numerics
09.2021 - Current

M.S. - Advanced Control & Systems Engineering

University of Sheffield
09.2016 - 11.2017

B.E. - Electronics and Communications Engineering

Loyola-ICAM College of Engineering And Technology
08.2012 - 05.2016

Skills

AI

Personal Information

  • Date of Birth: 10/13/94
  • Nationality: Indian

Publications

  • Contactless determination of continuum displacement and mechanical compressibility from image series using a deep learning-based framework., Maria Antony, A.N., Richter, T., and Gladilin, E., Engineering Applications of Artificial Intelligence, Under Review, 2025
  • Linel2D-Net: A deep learning approach to solving 2D linear elastic boundary value problems on image domains., Maria Antony, A.N., Narisetti, N., and Gladilin, E., Iscience, 27, 4, 2024
  • FDM data driven U-Net as a 2D Laplace PINN solver., Maria Antony, A.N., Narisetti, N., and Gladilin, E., Scientific Reports, 13, 1, 9116, 2023

Google Scholar

Link

Timeline

Doctoral Researcher - Computational Science & AI

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
09.2021 - Current

Ph.D. - Computational Science & AI

Otto Von Guericke University Magdeburg - Institute For Analysis And Numerics
09.2021 - Current

Project Engineer - AI & Computer Vision

VisAI Labs by E-Con Systems
03.2021 - 08.2021

Research Associate - AI & Computer Vision

Cogniable IIT Delhi
10.2020 - 02.2021

Control System Software Engineer

Vestas Technology R&D
08.2018 - 01.2020

M.S. - Advanced Control & Systems Engineering

University of Sheffield
09.2016 - 11.2017

B.E. - Electronics and Communications Engineering

Loyola-ICAM College of Engineering And Technology
08.2012 - 05.2016
Anto Nivin Maria AntonyDoctoral Researcher - Computational Science & AI