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

chaitanya bharathi institute of technology, India

Professional Profiles:

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👨‍🎓 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.

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

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