Rajesh Ranjan Nayak
Bis 2022, Student Research Assistant, Fraunhofer FEP
Dresden, Deutschland
Über mich
- Master's degree in computational mechanics with specialization in Finite Element Methods and numerical methods. - Experience at Fraunhofer Research Institute optimizing piezoelectric energy harvesters for MEMS through multiphysical simulation. - Currently, a research associate at TU Dresden, working on a DFG project to predict metal forming product quality using FEM simulations and real experiments. - Competent in leveraging computational mechanics and machine learning techniques to drive advancements in manufacturing technologies.
Werdegang
Berufserfahrung von Rajesh Ranjan Nayak
Bis heute 1 Jahr und 4 Monate, seit Feb. 2023
Research Associate
TU Dresden
Developing a machine learning-based approach for predicting metal-forming product quality.
MEMS Energy Harvesters: Developed COMSOL 5.4 model for miniaturized electromechanical systems using piezoelectric thin films. Optimized Design: Conducted static study to ensure uniform stress distribution, enhancing structural integrity and performance. Performance Evaluation: Utilized time-dependent and frequency studies to compare and optimize geometries. Validation and Reliability: Correlated simulation results with experimental data for accurate and reliable analysis.
1 Jahr und 11 Monate, Juni 2017 - Apr. 2019
Gandhi Fellow
Piramal Foundation
- Educational Transformation: Led transformation initiatives in 5 Mumbai Municipal Corporation Schools, driving positive change and enhancing learning outcomes. - Transformation Leadership: Engaged in intensive residential Gandhi Fellowship, developing transformational leadership skills. - Collaborative School Improvement: Collaborated with Principals to achieve desired educational outcomes, fostering an environment conducive to student growth.
Sprachen
Englisch
Muttersprache
Deutsch
Gut