Dr. Omprakash B | Computational Fluid Dynamics (CFD) Analysis | Best Researcher Award

Dr. Omprakash B | Computational Fluid Dynamics (CFD) Analysis | Best Researcher Award

Dr. Omprakash B | Mechanical Engg.Dept., JNTUA CEA | India

Dr. B. Omprakash is an accomplished Assistant Professor (Selection Grade) in the Mechanical Engineering Department at JNTUA College of Engineering, Anantapuramu, India. With a Ph.D. in experimental investigations on glow plug hot surface ignition using alcohol-based fuels, he has made significant contributions to thermal engineering and alternative fuels. His research spans CFD analysis, heat transfer, and energy storage systems. Recognized with prestigious awards like the State Level Best Mechanical Engineering Teacher (2024) and Best Teacher Award (2023), Dr. Omprakash actively leads funded research projects and has published extensively in SCI journals. His work advances mechanical engineering and sustainability. πŸ”¬πŸ”₯

Professional Profile:

ORCID

SCOPUS

Google Scholar

Suitability for Best Researcher Award

Dr. B. Omprakash is a strong candidate for the Best Researcher Award due to his impactful contributions to mechanical engineering, particularly in thermal engineering, alternative fuels, and energy storage systems. His research on glow plug hot surface ignition using alcohol-based fuels addresses critical challenges in sustainable energy solutions, making his work highly relevant to both academia and industry.

Education & Experience πŸŽ“πŸ‘¨β€πŸ«

  • πŸ… Ph.D. in Mechanical Engineering – JNT University Anantapur (2016)
    Thesis: Experimental Investigations on Glow Plug Hot Surface Ignition C.I. Engine Using Alcohols as Fuel
  • πŸ‘¨β€πŸ« Assistant Professor (Selection Grade) – JNTUA College of Engineering, Anantapuramu (2011 – Present)
    • Basic Pay: β‚Ή98,200/- (Current: β‚Ή1,31,000/- as of Feb 2024)
    • Expertise in CFD Analysis, Heat Transfer, Alternative Fuels, and Thermal Engineering

Professional DevelopmentπŸ“šπŸ”

Dr. B. Omprakash has consistently contributed to mechanical engineering through innovative research, mentorship, and academic leadership. As an educator, he integrates theoretical and practical applications, ensuring students gain hands-on experience in thermal sciences, alternative fuels, and CFD modeling. He has successfully secured government-funded research projects focusing on energy storage and solar-powered systems. His commitment extends beyond academia through collaborations with national and international researchers. By actively publishing in SCI-indexed journals and presenting at reputed conferences, Dr. Omprakash enhances the knowledge base of mechanical engineering, inspiring young minds toward innovation and sustainability. πŸŒπŸ› οΈ

Research FocusπŸ”¬βš™οΈ

Dr. B. Omprakash’s research is centered on thermal sciences, alternative fuels, computational fluid dynamics (CFD), and renewable energy systems. His studies explore the optimization of heat flow, engine performance, and sustainable fuel alternatives. He has worked extensively on phase change materials (PCMs), magnetic field applications in machining, and energy-efficient engine designs. His projects, funded by SERB, Government of India, aim to develop eco-friendly energy storage solutions and solar-powered mechanized vehicles. Through experimental validation and numerical simulations, he contributes to the advancement of green technologies and high-performance mechanical systems, bridging the gap between research and industrial application. 🌱⚑

Awards & Honors πŸ…πŸŽ–

  • πŸ† State Level Best Mechanical Engineering Teacher – Indian Society for Technical Education (ISTE) (2024)
  • πŸ… Best Teacher Award – SR Educational Society, Ministry of Youth Affairs & Sports, Govt. of India (2023)

Publication Top Notes:

πŸ”¬ Experimental examination of CI engine fueled with various blends of diesel-apricot oil at different engine operating conditions – SM Karishma, A Dasore, U Rajak, TN Verma, KP Rao, B Omprakash | πŸ“– Materials Today: Proceedings 49, 307-310Β  πŸ”— Cited by: 28
πŸ’‘ Hybrid solar lightning system for home lightning – SB Mohan, B Omprakash | πŸ“– Materials Today: ProceedingsΒ  πŸ”— Cited by: 3
πŸ”₯ Performance Evaluation Of A Ceramic Coated With Air Insulated Four Stroke Diesel Engine – R Ganapathi, BD Prasad, B Omprakash | πŸ“– International Journal of Current Engineering and Technology 3 (5), 1858-1862Β  πŸ”— Cited by: 3
βš™οΈ Evaluation of mechanical behaviour of aluminium 2024 composites with boron nitride – K Srikhar, B Omprakash | πŸ“– Materials Today: ProceedingsΒ  πŸ”— Cited by: 1
πŸš— Effect of exhaust gas recirculation on the performance and emission characteristics of diesel engine with hydrogen fuel and nano additives – R Jayaram, B Omprakash | πŸ“– Materials Today: Proceedings Β πŸ”— Cited by: 1

 

 

 

Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang, China Three Gorges University, China

Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wang’s contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. πŸš€πŸ—οΈ

🌏 Professional Profile

Orcid

πŸ† Suitability for Best Researcher AwardΒ 

Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. πŸ…πŸ”¬

πŸ“š Education

  • Ph.D. in Bridge and Tunnel Engineering (2007–2010) – Wuhan University of Technology πŸŽ“

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering
  • Visiting Scholar (2019–2020) – The University of Queensland, Australia 🌏

    • Fully funded by the China Scholarship Council
    • Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures

His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. πŸŽ“πŸ“–

πŸ‘¨β€πŸ”¬ ExperienceΒ 

  • Associate Professor, China Three Gorges University (2015–Present) πŸ—οΈ

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering
  • Lecturer, China Three Gorges University (2011–2015) πŸ“š

    • Promoted to Associate Professor in 2015
  • Assistant Engineer, China Communications Construction Company (2002–2004) 🚧

    • Worked on highway base and surface construction
  • Visiting Researcher, The University of Queensland (2019–2020) 🌏

    • Specialized in long-span cable structure dynamics

With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. πŸ”πŸ—οΈ

πŸ… Awards and Honors

  • Outstanding PhD Dissertation Award (2010) – Wuhan University of Technology πŸŽ“πŸ†
  • Excellent Instructor Award (2014, 2017, 2018) – “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition πŸ…πŸ‘¨β€πŸ«
  • National Natural Science Foundation of China (NSFC) Grant Recipient – Led multiple funded research projects πŸ’°πŸ”¬
  • China Scholarship Council Award (2019–2020) – Fully funded visiting scholar at The University of Queensland πŸ‡¨πŸ‡³πŸŒ
  • 60+ Patents & 5 Software Copyrights – Innovations in bridge engineering, AI models, and disaster protection πŸ—οΈπŸ’‘

Mr. Wang’s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. πŸŒŸπŸŽ–οΈ

πŸ”¬ Research FocusΒ 

Mr. Feng Wang’s research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. πŸŒ‰πŸ’‘

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with China’s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. πŸ—οΈπŸ”

Publication Top Notes:

Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024