Prof Ying Huang | Machina Learning | Best Researcher Award |

Prof. Ying Huang | Machina Learning | Best Researcher Award.

Guangxi Eco-engineering Vocational And Technical College,China

Professional Profiles:

SCOPUS

ORCID

πŸ‘¨β€πŸŽ“ Bio Summary:

Β Prof. Ying Huang is a distinguished academic with a diverse background in electronic information engineering and agricultural electrification and automation. He earned his B.S. degree from South China Agricultural University in 2004, followed by an M. Eng. in 2007. Currently serving as a Professor at Guangxi Eco-engineering Vocational and Technical College, his career spans a wide range of research interests and achievements.

πŸŽ“ Education:

Ying Huang completed his B.S. degree in electronic information engineering and pursued further studies, obtaining an M. Eng. in agricultural electrification and automation, both from South China Agricultural University, China.

πŸ” Research Focus:

Prof. Huang’s research focuses on the intersection of technology and agriculture, particularly in the realms of big data, machine learning, intelligent control, and detection technology. His work explores innovative applications of electronic information to enhance agricultural practices.

πŸ† Honors & Awards:

Prof. Huang has been recognized for his contributions to academia and research, though specific honors and awards may be detailed in his professional portfolio.

Professional Experience: πŸ’Ό

With a wealth of experience in academia, Prof. Huang currently holds the position of Professor at Guangxi Eco-engineering Vocational and Technical College, where he contributes to both teaching and research endeavors.

πŸ“š Top Noted Publications :

Title: Firm social management system for supporting IoT users in application environment

Authors: Huang, Y.

Journal: Journal of Network and Computer Applications, 2024, 224, 103840

Abstract: This article discusses a firm social management system designed to support IoT users in application environments. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system

Authors: Li, S., Huang, Y.

Journal: Journal of Ambient Intelligence and Humanized Computing, 2024, 15(1), pp. 765–777

Abstract: This study evaluates the efficiency of an artificial intelligence-based English translation system. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: Design of Fruit-Carrying Monitoring System for Monorail Transporter in Mountain Orchard

Authors: Li, Z., Zhou, Y., Lyu, S., Yi, Y., Zhao, C.

Journal: Journal of Circuits, Systems and Computers, 2023, 32(15), 2350264

Abstract: This paper presents the design of a monitoring system for monitoring fruit-carrying monorail transporters in mountain orchards. The article is open access and has not yet received any citations.

 

Title: Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation

Authors: Huang, Y.

Journal: Plants, 2023, 12(12), 2309

Abstract: This article presents an improved SVM-based prediction model for soil-moisture content in tea plantations. The article is open access and has received 1 citation.

 

Title: Design of a Cargo-Carrying Analysis System for Mountain Orchard Transporters Based on RGB-D Data

Authors: Li, Z., Zhou, Y., Zhao, C., Wen, W., Huang, Y.

Journal: Applied Sciences (Switzerland), 2023, 13(10), 6059

Abstract: This paper discusses the design of an analysis system for analyzing cargo-carrying mountain orchard transporters using RGB-D data. The article is open access and has not yet received any citations.

Author Metrics πŸ“Š :Β 

Prof. Huang’s impact within his field can be measured through various author metrics, reflecting the influence and significance of his scholarly work.

πŸ“… Research Timeline:

Over the years, Prof. Huang’s research trajectory has evolved, marked by milestones in academia and significant contributions to the advancement of knowledge in his areas of expertise.

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

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

chaitanya bharathi institute of technology, India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

πŸ‘¨β€πŸŽ“ 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.

πŸŽ“ 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%.

πŸ” 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.

πŸ‘©β€πŸ’Ό 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.

πŸ† 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: πŸ’Ό

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.

πŸ“š 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 πŸ“Š :Β 

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.

πŸ“… 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.