Amirmahdi Rahmani | Environmental Impact of Vehicles | Editorial Board Member

Mr. Amirmahdi Rahmani | Environmental Impact of Vehicles | Editorial Board Member

Master Student in Sustainability in Polymer Technology | Deggendorf Institute of Technology | Germany

Mr. Amirmahdi Rahmani is a passionate and forward-thinking researcher whose work bridges sustainability, renewable energy, and advanced materials engineering. His academic foundation and professional journey reflect a deep commitment to advancing eco-friendly technologies and sustainable industrial practices. His research experience spans diverse domains, including green tribology, bio-lubricants, renewable energy systems, and polymer sustainability. Through his professional roles, he has contributed to enhancing mechanical and environmental performance in industrial applications, from improving the mechanical properties of lubricants to optimizing oscillating flow reactors for efficient mixing processes. His collaboration with leading institutions and companies such as Springer Nature, Pardis Shimi Bakhtar Co., and Iran Khodro Co. underscores his technical expertise and research integrity. Rahmani’s publications demonstrate a consistent focus on sustainability and innovation, with studies exploring bio-lubricants, nano-enhancers, zero-carbon village models, and wind energy optimization for greenhouse gas reduction. His research interests lie in sustainable materials development, circular economy integration, renewable energy conversion, and mechanical system optimization for low-carbon technologies. He is skilled in experimental design, computational modeling, life cycle assessment, and energy efficiency analysis, combining theoretical insights with practical applications. His achievements reflect academic rigor, professional discipline, and a global perspective on the transition to sustainable energy systems. Rahmani’s dedication to research excellence and his interdisciplinary approach position him as an emerging scholar in the fields of green technology and sustainable engineering. He has achieved 11 Citations, 3 documents, 2h-index.

Profiles:  Google Scholar Scopus

Featured Publications 

  1. Yousefi, H., Montazeri, M., & Rahmani, A. (2021). Techno-economic analysis of wind turbine systems to reduce carbon emission of greenhouses: A case study in Iran. In Proceedings of the 7th Iran Wind Energy Conference (IWEC2021) (pp. 1–4). IEEE.

  2. Rahmani, A., Razavi, H. K., & Dehghani-Soufi, M. (2024). Green tribology assessment: A comprehensive review of bio-lubricants and nano enhancers. Energy Conversion and Management: X, 24, 100794.

  3. Yousefi, H., Rahmani, A., & Montazeri, M. (2023). Sustainable development through the establishment of zero-carbon villages. In Proceedings of the 8th International Conference on Technology and Energy Management (ICTEM2023). IEEE.

  4. Rahmani, A., Dehghani-Soufi, M., Fazeli, H., & Razavi, H. K. (2024). Experimental analysis of nano additive mixing in bio-lubricants: Implications for tribological performance using oscillatory flow technology. Available at SSRN 5118516.

    Mr. Amirmahdi Rahmani’s research advances sustainable energy and green tribology through innovative material science and renewable technology integration. His work bridges environmental engineering and mechanical optimization, providing scalable solutions for low-carbon industries. By combining experimental and techno-economic analyses, Rahmani contributes to the global transition toward sustainable manufacturing, clean energy systems, and environmentally responsible engineering innovation.

 

Tong Wang | Automotive Materials | Young Scientist Award

Assoc. Prof. Dr. Tong Wang | Automotive Materials | Young Scientist Award

Deputy director| Changan university | China


Tong Wang is an accomplished scholar and innovator in the field of automotive and vehicle engineering, currently serving as an Associate Professor, Doctoral (International) and Master’s Supervisor at the School of Automotive Engineering, China. He holds a Ph.D. in Engineering, specializing in intelligent electric vehicle design and lightweight smart design technologies, with a strong academic background rooted in advanced mechanical systems and sustainable mobility solutions. Throughout his professional career, Dr. Wang has built extensive expertise through his active participation in over 20 research projects, including both national and international collaborations, contributing significantly to the advancement of intelligent, low-carbon, and high-efficiency vehicle systems. His professional experience extends beyond academia into technology innovation networks, serving as a Young Expert of the Lightweight Technology Innovation Strategic Alliance under the China Society of Automotive Engineers, a Member of the Flying Car Branch of the Chinese Aeronautical Society, and an active participant in the Shaanxi Automotive Engineering Society’s Youth Working Committee and Low-Carbon Environmental Protection Branch. Dr. Wang’s research interests encompass intelligent electric vehicle development, structural lightweighting, computational vehicle design, and sustainable transportation systems, with research skills spanning computer-aided engineering (CAE), multi-objective optimization, material simulation, and dynamic modeling. He has authored more than 20 peer-reviewed publications in Scopus- and IEEE-indexed journals, delivered over 10 conference presentations, and holds over 10 patents, reflecting a robust integration of theory and application. Among his recognitions, Dr. Wang has been honored as a Jiangsu Province Double Innovation Talent, highlighting his leadership in academic innovation and practical engineering. Overall, his consistent contributions to research, mentorship, and technological development underscore his strong potential to lead the next generation of sustainable automotive innovation and research excellence in China and beyond. Dr. Wang Tong has 11 citations, 9 published papers, and an h-index of 2 (view h-index button is disabled in preview mode).

Profiles:  Scopus | ORCID  | Research Gate

Featured Publications

Wang, T., Ma, Y., & Wang, S. (2024). Intelligent prediction method for thermal properties of automotive basalt fiber composite materials based on fitting normalization function. Materials Today Communications. SSRN.