Prof Dr. Radhika Sudha | Renewable | Best Researcher Award

Published on by Global Scholar Awards

Prof Dr. Radhika Sudha | Renewable | Best Researcher Award

Prof Dr. BITS Pilani Hyderabad Campus, India

Dr. Sudha Radhika is an Associate Professor in the EEE Department at BITS Pilani Hyderabad Campus. She holds a Ph.D. in Wind Engineering from Tokyo Polytechnic University (2012), an M. Tech. in Power Electronics from Amrita Viswavidhyapeethom (2007), and a B. Tech. in Electrical and Electronics Engineering from Palakkad (2003). Her career includes roles as a Research Assistant at Tokyo Polytechnic University (2009-2012), Assistant Professor at Jaypee University (2012-2014), and Professor and Head of the EEE Department at Geethanjali Engineering College (2014-2017). She has been with BITS Pilani Hyderabad Campus since 2017.

Professional profile

Google scholar

Qualifications 🎓

Ph.D. in Wind Engineering from Tokyo Polytechnic University, Tokyo, Japan (2012) 🌬️M. Tech. in Power Electronics from Amrita Viswavidhyapeethom, Coimbatore, Tamil Nadu, India (2007) ⚡B. Tech. in Electrical and Electronics Engineering from Palakkad, Kerala, India (2003) 🔌

Employment Experience 🏫

2009-2012: Research Assistant, Tokyo Polytechnic University, Tokyo, Japan 2012-2014: Assistant Professor, Electronics and Communication Engineering Department, Jaypee University, Bhopal 🏛️2014-2017: Professor and Head of the Department, EEE, Geethanjali Engineering College, Hyderabad2017-Present: Assistant/Associate Professor, EEE Department, BITS Pilani Hyderabad Campus, Hyderabad 📚

Publication📜

1. K-Nearest Neighbors and Grid Search CV-Based Real-Time Fault Monitoring System for Industries
GSK Ranjan, AK Verma, S Radhika
2019 IEEE 5th International Conference for Convergence in Technology (I2CT), pp. 1-5
Citations: 150 (2019)

2. Precise Wavelet for Current Signature in 3ϕ IM
S Radhika, GR Sabareesh, G Jagadanand, V Sugumaran
Expert Systems with Applications, 37(1), pp. 450-455
Citations: 57 (2010)

3. Evaluation of Surface Roughness in Incremental Forming Using Image Processing-Based Methods
PK Gandla, V Inturi, S Kurra, S Radhika
Measurement, 164, 108055
Citations: 52 (2020)

4. Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet-Based Pattern Recognition
S Radhika, Y Tamura, M Matsui
Journal of Wind Engineering and Industrial Aerodynamics, 136, pp. 23-33
Citations: 51 (2015)

5. An Efficient Neural-Network Model for Real-Time Fault Detection in Industrial Machines
AK Verma, S Nagpal, A Desai, R Sudha
Neural Computing and Applications, 33, pp. 1297-1310
Citations: 46 (2021)

6. Automatic Detection of Buildings from Aerial Images Using Color Invariant Features and Canny Edge Detection
S Singhal, S Radhika
International Journal of Engineering Trends and Technology (IJETT), 11(8)
Citations: 40 (2014)

7. Recent Developments and Future Advancements in Solar Panels Technology
CS Durganjali, S Bethanabhotla, S Kasina, S Radhika
Journal of Physics: Conference Series, 1495(1), 012018
Citations: 39 (2020)

8. Use of Post-Storm Images for Automated Tornado-Borne Debris Path Identification Using Texture-Wavelet Analysis
S Radhika, Y Tamura, M Matsui
Journal of Wind Engineering and Industrial Aerodynamics, 107, pp. 202-213
Citations: 29 (2012)

9. Wavelet-Based Fault Detection and Diagnosis Using Online MCSA of Stator Winding Faults Due to Insulation Failure in Industrial Induction Machines
AK Verma, S Radhika, SV Padmanabhan
2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 204-208
Citations: 25 (2018)

10. Remote Sensing of Hydrometeorological Hazards
GP Petropoulos, T Islam
CRC Press
Citations: 25 (2017)

11. Design and Development of Residential Sector Load Prediction Model During COVID-19 Pandemic Using LSTM-Based RNN
A Ajitha, M Goel, M Assudani, S Radhika, S Goel
Electric Power Systems Research, 212, 108635
Citations: 24 (2022)

12. Underwater Characterization and Monitoring of Amorphous and Monocrystalline Solar Cells in Diverse Water Settings
PK Enaganti, PK Dwivedi, R Sudha, AK Srivastava, S Goel
IEEE Sensors Journal, 20(5), pp. 2730-2737
Citations: 24 (2019)

13. Random Forest-Based Real-Time Fault Monitoring System for Industries
IV Vamsi, N Abhinav, AK Verma, S Radhika
2018 4th International Conference on Computing Communication and Automation (ICCCA), pp. 275-281
Citations: 21 (2018)

14. Wavelet and Deep Learning-Based Detection of SARS-CoV from Thoracic X-Ray Images for Rapid and Efficient Testing
AK Verma, I Vamsi, P Saurabh, R Sudha, GR Sabareesh, S Rajkumar
Expert Systems with Applications, 185, 115650
Citations: 17 (2021)

15. A Low Cost Surface Strain Measurement System Using Image Processing for Sheet Metal Forming Applications
P Wankhede, S Kodey, S Kurra, S Radhika
Measurement, 187, 110273
Citations: 12 (2022)

16. Automatic Condition Monitoring of Industrial Machines Using FSA-Based Hall-Effect Transducer
AK Verma, P Akkulu, SV Padmanabhan, S Radhika
IEEE Sensors Journal, 21(2), pp. 1072-1081
Citations: 12 (2020)

17. Quantitative Modeling and Simulation for Stator Inter-Turn Fault Detection in Industrial Machines
AK Verma, P Spandana, SV Padmanabhan, S Radhika
Intelligent Computing and Communication: Proceedings of 3rd ICICC 2019
Citations: 10 (2020)

18. Using Wavelets as an Effective Alternative Tool for Wind Disaster Detection from Satellite Images
S Radhika, Y Tamura, M Matsui
Proceedings of Computational Wind Engineering (CWE2010), North Carolina, USA
Citations: 10 (2010)

19. Neuro-Fuzzy Classifier for Identification of Stator Winding Inter-Turn Fault for Industrial Machines
AK Verma, A Jain, S Radhika
Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020
Citations: 9 (2020)

20. Application of Remote Sensing Images for Natural Disaster Mitigation Using Wavelet-Based Pattern Recognition Analysis
S Radhika, Y Tamura, M Matsui
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 84-87
Citations: 9 (2016)

Jennifer Lorena Schurr | Energy | Best Researcher Award

Published on by Global Scholar Awards

🌟Ms. Jennifer Lorena Schurr, Energy, Best Researcher Award🏆

  • Jennifer Lorena Schurr at Aalto University, Finland 

Jennifer Lorena Schurr is a passionate researcher and engineer with a diverse background in sustainable energy, mechatronics, and industry 4.0. Holding a Master’s degree in Innovative Sustainable Energy Engineering and currently pursuing a PhD in Energy Conversion at Aalto University, Jennifer is committed to advancing the understanding and application of renewable energy solutions. She has a strong track record of academic achievements, professional experience, and social engagement, making valuable contributions to both academia and society.

Author Profile:

ORCID Profile

Education:

Jennifer completed her Bachelor’s degree in Mechatronics from the University of Aalen in 2020, followed by a Master’s degree in Innovative Sustainable Energy Engineering from Aalto University and KTH Royal Institute of Technology in 2022. She furthered her education with an intensive course on Sustainable Energy Solutions for Communities at the National University of Lesotho in 2024.

Research Focus:

Jennifer’s research focuses on energy conversion, particularly in the field of sustainable energy solutions. Her PhD studies at Aalto University delve into areas such as super adiabatic combustion and the utilization of hydrogen in combustion processes. She aims to contribute to the development of cleaner and more efficient energy technologies to address global environmental challenges.

Professional Journey:

Jennifer’s professional journey encompasses a diverse range of roles, including industry 4.0 researcher, control engineer, spinning instructor, and primary school teacher. These experiences have provided her with a well-rounded skill set and a deep understanding of various aspects of engineering and education. She has consistently demonstrated leadership, adaptability, and a strong work ethic throughout her career.

Honors & Awards:

Jennifer has received numerous honors and awards for her academic and professional achievements. She graduated with honors from both her Bachelor’s and Master’s degrees, and her research on super adiabatic combustion was published in the prestigious journal Combustion and Flame. Additionally, she has been recognized for her leadership and contributions to various social and academic organizations.

Publication Noted & Contributions:

Jennifer’s contributions to academia include research publications, conference presentations, and active involvement in research projects. Her published work on super adiabatic combustion has contributed to advancing the understanding of combustion processes and has potential applications in cleaner energy production. Jennifer is also engaged in collaborative research projects aimed at addressing real-world energy challenges.

Title: Super adiabatic combustion of H2/Air and H2/N2O mixtures

Contributors:

  • Jennifer L. Schurr (Author)
  • Atmadeep Bhattacharya (Author)
  • Alexander A. Konnov (Author)
  • Ossi Kaario (Author)

This article, authored by Jennifer L. Schurr, Atmadeep Bhattacharya, Alexander A. Konnov, and Ossi Kaario, was published in the journal Combustion and Flame in May 2024. The study investigates the phenomenon of super adiabatic combustion in hydrogen-air and hydrogen-nitrous oxide mixtures. The DOI link provided directs to the full article.

Author Metrics:

Jennifer’s research output is characterized by high-quality publications in reputable journals and conferences. She maintains a strong citation record, indicating the impact and relevance of her work within the scientific community. Additionally, she actively participates in academic discussions and collaborations, further enhancing her scholarly reputation.

Research Timeline:

Jennifer’s research journey began during her undergraduate studies, where she developed an interest in mechatronics and renewable energy. She continued to expand her research expertise during her Master’s program, culminating in her current pursuit of a PhD in Energy Conversion. Her research timeline reflects a gradual progression from foundational studies to more specialized and advanced research topics.

Collaborations and Projects:

Jennifer has been involved in various collaborative research projects aimed at addressing complex energy-related challenges. These collaborations span across academic institutions, industry partners, and non-profit organizations, demonstrating her ability to work effectively in interdisciplinary teams. Through her involvement in diverse projects, Jennifer seeks to leverage collective expertise to drive innovation and positive societal impact in the field of sustainable energy.