Krish Kumar Raj is a diligent Electrical and Electronics Engineer, currently pursuing a Master’s Degree in Engineering Science at the University of the South Pacific. With a keen interest in power systems, domestic wiring standards, neural networks, and digital control systems, Krish has hands-on experience in hardware and simulation-based research, particularly in bearing fault diagnosis using deep learning strategies. With a Bachelor’s degree in Electrical and Electronics Engineering, Krish has acquired a diverse skill set encompassing power electrical drives, digital signal processing, and mechatronics. His work experience includes internships in electrical engineering firms and contributions to projects such as the development of a low-cost emergency ventilator during the Covid-19 pandemic. Krish is proficient in programming languages like Python and MATLAB, and he holds certifications in machine learning. He is known for his problem-solving abilities, leadership skills, and ability to work under pressure. Outside of work, Krish enjoys swimming, futsal, soccer, table tennis, and hiking.
Professional Profile:
Google Scholar
📚 Education:
Krish Kumar Raj holds an Honors Bachelor’s degree in Electrical & Electronics Engineering with a commendable Cumulative GPA of 3.58. His academic journey has equipped him with a deep expertise in various facets of engineering, particularly in Power Systems, Neural Networks, and Digital Control. With a keen interest in leveraging these skills towards practical innovation, Krish is dedicated to pushing the boundaries of traditional engineering practices. Through his academic achievements and hands-on experience, he has demonstrated a strong commitment to excellence and a passion for contributing to advancements in his field.
👨🏫 Employment & Experience:
Krish Kumar Raj’s professional journey encompasses diverse roles, reflecting his dedication to both academia and practical application. As a Part-time Tutor at the University of the South Pacific (USP) in Suva, he imparted knowledge to budding engineers, while also serving as a Lab Demonstrator, providing invaluable practical experience in electrical engineering. Complementing his academic endeavors, Krish gained real-world insights through internships in Electrical Contracting and Industrial Maintenance. These experiences not only enriched his understanding of the field but also honed his troubleshooting skills and ability to apply theoretical knowledge to practical scenarios.
💻 Technical Skillset:
Publication Top Notes:
- A state-space model for induction machine stator inter-turn fault and its evaluation at low severities by PCA
- Published: 2021
- Journal: IEEE Asia-Pacific Conference on Computer Science and Data Engineering
- Cited by: 5
- ECG Multi Class Classification Using Machine Learning Techniques
- Published: 2023
- Journal: IEEE International Symposium on Medical Measurements and Applications
- Cited by: 3
- Open Circuit (OC) and Short Circuit (SC) IGBT switch fault detection in three-phase standalone photovoltaic inverters using shallow neural networks
- Published: 2022
- Journal: 25th International Conference on Electrical Machines and Systems (ICEMS)
- Cited by: 3
- A LSTM-based Neural Strategy for Diagnosis of Stator Inter-turn Faults with Low Severity Level for Induction Motors
- Published: 2022
- Journal: 25th International Conference on Electrical Machines and Systems (ICEMS)
- Cited by: 3
- Enhanced Fault Detection in Bearings Using Machine Learning and Raw Accelerometer Data: A Case Study Using the Case Western Reserve University Dataset
- Published: 2024
- Journal: Information