Martinson Yeboah Appiah | Engineering | Best Researcher Award

Published on by Global Academic Awards

Mr. Martinson Yeboah Appiah | Engineering | Best Researcher Award

Mr. Martinson Yeboah Appiah, Jiangsu University, China

Mr. Martinson Yeboah Appiah, a Ghanaian professional, is a Quantitative Researcher at Jiangsu University, China 🇨🇳. He holds an MSc in Management Science and Engineering from Jiangsu University (2020) and a BSc in Ports and Shipping Administration from the Regional Maritime University, Ghana 🇬🇭. His expertise spans transport planning, supply chain management, and operations research. Notable accomplishments include publications on logistics optimization and a Presidential Scholarship award (2017–2020). Proficient in Python and MATLAB, Martinson integrates data-driven solutions into logistics and education. His research emphasizes low-carbon routing and cold chain logistics, contributing to sustainability and innovation. ✨

 

Publication Profile

Scopus

🌟 Professional Experience

Mr. Martinson Yeboah Appiah has extensive experience across academia and industry. Currently, he is a Quantitative Researcher at Jiangsu University 🇨🇳, where he teaches Operations Research and Managerial Economics, conducts data analysis using Python and MATLAB, and explores innovations like green logistics. As a Research Assistant (2018–2020), he supervised student projects and taught Mathematics and Science. Earlier, at the Regional Maritime University 🇬🇭, he organized lectures, educational trips, and mentored students (2016–2018). Additionally, he worked as a Stevedore at Ghana Ports and Harbours Authority, tallying containers and managing cargo operations. His diverse expertise blends teaching, research, and logistics. 📊🚢

 

🎓 Educational Background

Mr. Martinson Yeboah Appiah holds a Master of Science in Management Science and Engineering from Jiangsu University 🇨🇳 (2017–2020). His coursework included Operations Management, Game Theory, Econometric Models, and Managerial Economics, equipping him with advanced analytical and decision-making skills. Earlier, he earned a Bachelor of Science in Ports and Shipping Administration from the Regional Maritime University 🇬🇭 (2012–2016). His studies covered areas such as Marine Engineering, Logistics Management, Maritime Administration, and the Law of the Sea. These academic foundations have empowered him to excel in operations, logistics, and maritime studies. 🌍📊🚢

 

📜 Professional Qualifications

Mr. Martinson Yeboah Appiah is a distinguished professional with certifications in logistics and transport. He earned his Diploma in Logistics and Transport (DILT) from the Chartered Institute of Logistics and Transport, UK 🇬🇧 (2016–2018) in Accra, Ghana 🇬🇭. Additionally, he completed a specialized training program on Managing Logistics in Oil and Gas in April 2014, broadening his expertise in the energy sector. These qualifications underscore his proficiency in logistics management, particularly in high-demand industries such as oil and gas. 🚛⛽📦

 

🔍 Research Interests

Mr. Martinson Yeboah Appiah’s research interests span diverse and impactful areas. He is deeply engaged in Transport Planning and Management 🚉, focusing on optimizing systems for efficiency and sustainability. His work in Supply Chain Management 📦 emphasizes innovation and cost minimization. With expertise in Operations Research 📊, he explores advanced analytical methods to solve complex logistical challenges. Additionally, his passion for Economic Geography 🌍 drives him to investigate the spatial and economic dynamics of transportation and trade systems. These interests align with his goal of contributing to sustainable development and global connectivity.

 

Publication Top Notes 📚

  • 📘 Solving a low-carbon routing problem for perishable distribution food – Appiah, M.Y., Huaping, S. | Published: 2024 | International Journal of Sustainable Engineering.
  • 📘 Route optimization cold chain logistic distribution using greedy search method – Qiang, X., Appiah, M.Y., Boateng, K., Appiah, F.V.W. | Published: 2020 | Cited by: 11 | OPSEARCH.

Bhagavat Jadhav | Engineering | Best Researcher Award

Published on by Global Academic Awards

Dr. Bhagavat Jadhav | Engineering | Best Researcher Award

 Pediatric Otolaryngologist, Mary Bridge Children’s Hospital, United States

Dr. Jadhav Bhagavat Dnyaneshwar, Ph.D., is an accomplished academic and researcher in Electronics and Telecommunication Engineering. He serves as the Controller of Examinations and Professor at JSPM’s Rajarshi Shahu College of Engineering, Pune. With over 21 years of experience, Dr. Jadhav has a robust academic background including a Ph.D. from Savitribai Phule Pune University. His expertise spans satellite image processing, electronic devices, and he holds patents in automated systems and vehicle detection. He is actively involved in consultancy projects and has numerous publications in international journals and conferences.

 

Publication profile

Scopus

🎓 Education

Dr. Jadhav holds a Ph.D. in Electronics and Telecommunication Engineering from Savitribai Phule Pune University, specializing in “Analysis of High Resolution Multispectral Satellite Images for Land Coverage Mapping and Agricultural Management.” He earned his Master’s and Bachelor’s degrees with distinction, and has a Diploma in Industrial Electronics.

🏅 Experience and Achievements

Dr. Jadhav has progressed from lecturer to Controller of Examinations at JSPM’s Rajarshi Shahu College of Engineering. He is a recognized member of academic boards and has guided multiple Ph.D. students. His contributions include patent publications, consultancy projects, and numerous international paper and conference presentations.

Research Focus

Dr. Jadhav Bhagavat Dnyaneshwar’s research focuses on satellite image processing 🛰️, particularly in applications such as land cover mapping and agricultural management 🌱. His expertise spans remote sensing 🌍, hyperspectral and multispectral image analysis 🖼️, and the development of automated systems for urban monitoring 🏙️ and vehicle detection 🚗. He also explores techniques for enhancing satellite images using wavelet transforms and optimization algorithms 🌐.

Publication Top Notes

An optimized network for drought prediction using satellite images