Mr Wolfgang Rannetbauer | Data Science | Best Researcher Award

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Mr. Wolfgang Rannetbauer | Data Science | Best Researcher Award.

Wolfgang Rannetbauer at Voestalpine Stahl GmbH, Netherlands

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Wolfgang Rannetbauer is a dedicated data scientist and statistician with a strong background in machine learning, data analysis, and statistical modeling. Currently pursuing his doctorate in Technical Sciences – Mathematics at Johannes Kepler University Linz, Wolfgang combines academic rigor with practical experience in various industries. His research focuses on the application of machine learning and statistical methods to solve complex problems, particularly in industrial settings.

🎓 Education:

Doctorate in Technical Sciences – Mathematics (Ongoing)

Institution: Johannes Kepler University Linz

Topic: Data-driven development and enhancement of operational equipment

Start Year: 2022

 

Master’s in Statistics / Data Science (2019 – 2021)

Institution: Johannes Kepler University Linz

Thesis: Interpretability of supervised machine learning methods

 

Bachelor’s in Statistics (2016 – 2019)

Institution: Johannes Kepler University Linz

Thesis: Einsatz neuronaler Netze zur Prognose des Ausgleichsenergiepreises (Application of Neural Networks to Predict Balance Energy Prices)

Professional Experience: 💼

Wolfgang Rannetbauer has a diverse background in data science, statistics, and teaching. Since 2022, he has been working as a Freelance Data Scientist at Voestalpine AG, where he focuses on data-driven development and enhancement of operational equipment as part of his doctoral research. In 2021, he served as a Statistician at Tractive, utilizing statistical methods and machine learning techniques to analyze data and identify key influencing factors. In 2020, Wolfgang worked as a Methodology Analyst at Statistik Austria, where he was involved in analysis, reporting, and modeling tasks. Additionally, he has been a Lecturer at Johannes Kepler University Linz since 2019, teaching introductory and advanced statistics courses such as Descriptive Statistics, Statistics I, and Statistics II.

Research Interest:

Wolfgang’s research interests include machine learning, data analysis, statistical modeling, Bayesian statistics, time series analysis, and the application of artificial intelligence in industrial and commercial contexts. His work aims to enhance the interpretability and applicability of machine learning methods, particularly in the context of industrial data-driven decision-making.

📚 Top Noted Publications :

Title: Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques

Authors: Wolfgang Rannetbauer, Christian Hambrock, Simon Hubmer, Roland Ramlau

Journal: Procedia Computer Science

Year: 2024

Volume: 232

Pages: 1377–1387

Author Metrics 📊 : 

Wolfgang’s research has had a notable impact, as evidenced by his author metrics, including citations and h-index.

📅 Research Timeline:

Wolfgang’s research journey began with his Bachelor’s thesis on neural networks for energy price prediction. He then progressed to his Master’s thesis on the interpretability of supervised machine learning methods. Currently, he is focused on his Ph.D. research on the data-driven (further) development of operating resources.

Dr Venkata Sushma Chinta | Machine learning | Best Researcher Award |

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Dr. Venkata Sushma Chinta , Machine learning, Best Researcher Award .

chaitanya bharathi institute of technology, India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Venkata Sushma Chinta is an accomplished academic and researcher specializing in Composite Materials. She completed her Ph.D. in Composite Materials from JNTUH in 2023, following an M.E. in CAD/CAM from CBIT, Hyderabad, where she excelled with a remarkable 91%. Dr. Chinta’s academic journey commenced with a B.Tech in Mechanical Engineering from R.V.R & J. C College of Engineering, where she obtained a notable 85%.

Currently serving as an Assistant Professor at CBIT, Hyderabad, since 2014, Dr. Chinta has contributed significantly to the institution’s academic excellence and the development of aspiring engineers. Her research focuses on the characterization and analysis of Hybrid composite structures, utilizing experimental and analytical methods.

🎓 Education:

Dr. Venkata Sushma Chinta completed her Ph.D. in Composite Materials from JNTUH in 2023. Prior to her doctoral studies, she pursued an M.E. in CAD/CAM from CBIT, Hyderabad, in 2013, where she secured an impressive 91%. Her academic journey began with a B.Tech in Mechanical Engineering from R.V.R & J. C College of Engineering in 2005, where she attained a notable 85%.

🔍 Research Focus:

Dr. Chinta’s research focuses on the characterization and analysis of Hybrid composite structures using experimental and analytical methods. Her work delves into understanding the intricate properties of composite materials, paving the way for advancements in various industries.

👩‍💼 Professional Journey:

Embarking on her professional journey after completing her academic pursuits, Dr. Chinta joined CBIT, Hyderabad, where she has since been committed to academic excellence and nurturing young minds in the field of mechanical engineering.

🏆 Honors & Awards:

Dr. Chinta’s contributions to the field have been recognized with prestigious accolades, including the Best Paper Award from IJMPERD in 2016, showcasing her dedication and excellence in research.

Professional Experience: 💼

Currently serving as an Assistant Professor at CBIT, Hyderabad, since 2014, Dr. Chinta has been an integral part of the institution’s academic landscape. Her dedication and expertise have contributed significantly to the growth and development of students in the field of mechanical engineering.

📚 Top Noted Publications :

Gopinath, CVS D. “Design and Optimization of Four Wheeler Connecting Rod Using Finite Element Analysis.” In 4th International Conference on Materials Processing and Characterization, 55, 2015.

Pattar, MV, VN Kulkarni, SV Kulkarni, and BB Kotturshettar. “Emerging Trends in Mechanical Engineering.” Springer, 15, 2020.

Joshi, CVS A., P. Ravinder Reddy, and V.N. Krishnareddy. “Buckling Analysis of Thin Carbon/Epoxy Plate with Circular Cut-outs Under Biaxial Compression by Using FEA.” International Journal of Research in Engineering and Technology 2 (10): 296-301, 2013.

Amireddy, KK, SS Raj, VS Chinta, CI Priyadarsini, and G Laxmaiah. “Ultrasonic evaluation of paint canisters.” E3S Web of Conferences 430: 01285, 2023.

Chinta, VS, PR Reddy, and KE Prasad. “The effect of stacking sequence on the tensile properties of jute fibre reinforced hybrid composite material for axial flow fan blades: An experimental and finite element investigation.” Materials Today: Proceedings 59: 747-755, 2022.

Author Metrics 📊 : 

Dr. Chinta’s impactful research has garnered attention, evident from her authorship in leading journals such as Advanced Engineering Informatics and Materials Today Proceedings. Her publications underscore her commitment to advancing knowledge in her field.

📅 Research Timeline:

Starting her journey with an undergraduate degree in Mechanical Engineering in 2005, Dr. Chinta progressed to pursue advanced studies culminating in a Ph.D. in Composite Materials in 2023. Throughout her academic and professional journey, she has demonstrated a steadfast dedication to research and academic excellence.