Amr Ashmawi | Engineering | Best Researcher Award

Published on by TOT Awards

Mr. Amr Ashmawi | Engineering | Best Researcher Award

South Dakota State University | United States

Amr Ashmawi is a structural civil engineer and BIM specialist whose research integrates Building Information Modeling (BIM), Artificial Intelligence (AI), and automation technologies to advance construction engineering and management. His work focuses on enhancing construction site efficiency, digitalizing bridge inspection processes, and improving safety training through intelligent systems. With expertise in structural analysis, BIM development, and programming (C#, Python, Revit API, AutoCAD API), his research aims to transform traditional workflows into smart, data-driven solutions for sustainable and safe construction environments. He has contributed to advancing real-time data integration, predictive modeling for reinforced concrete (RC) structures, and automation in bridge assessment using machine learning. Amr’s scholarly impact is reflected in his early academic recognition, having 1 citation, 1 h-index, and 0 i10-index on Google Scholar, with research visibility growing rapidly. His publications are featured in Advances in Structural Engineering and Applied Sciences journals. He continues to explore the intersection of BIM and AI for next-generation construction technologies, positioning himself as an emerging researcher dedicated to automation, visualization, and intelligent infrastructure systems. His innovative contributions and growing influence in structural informatics and construction automation make him a deserving recipient of the Best Researcher Award.

Publication Profile

Featured Publications

Ashmawi, A., Nguyen, P., & Jawdhari, A. (2025). State-of-the-art review of machine learning applications for bridge inspections. Advances in Structural Engineering, 13694332251381220.

Nichols, L., Ashmawi, A., & Nguyen, P. (2025). Digitalizing bridge inspection processes using Building Information Modeling (BIM) and Business Intelligence (BI). Applied Sciences, 15(20), 10927.

Ashmawi, A., Nguyen, P., & Jawdhari, A. (2025). Enhancing construction safety training using artificial intelligence: Existing applications and future directions. Under publication.

Ashmawi, A., & Nguyen, P. (2025). Leveraging BIM for automated fire safety code compliance: A comprehensive review. Under review.

 

Seyed Morteza Banihashemy | Electrical Machines | Best Researcher Award

Published on by TOT Awards

 

Mr. Seyed Morteza Banihashemy | Electrical Machines | Best Researcher Award 

ph. d student  at Semnan University, Iran

S. Morteza Banihashemi is an accomplished professional in electrical engineering, specializing in electrical machines and drives. With a Ph.D. in Electrical Machines and Drives, Morteza has dedicated his career to advancing the field through innovative research, teaching, and industry contributions. He is the founder of Electro20, showcasing entrepreneurial prowess and technical expertise. His research focuses on torque ripple reduction, coilgun simulations, and other groundbreaking projects that push the boundaries of engineering. Morteza’s teaching experience spans multiple institutions, reflecting his passion for sharing knowledge and mentoring future engineers. A skilled user of advanced engineering tools like Ansoft Maxwell, MATLAB, and Psim, he seamlessly bridges the gap between theoretical concepts and practical applications. Morteza’s achievements highlight his commitment to excellence, innovation, and impactful contributions to the field of electrical engineering.

Professional profiles📖

Google Scholar

Education 🎓

S. Morteza Banihashemi’s academic journey is marked by exceptional achievements in electrical engineering. He holds a Bachelor’s, Master’s, and Ph.D. in Electrical Machines and Drives, which form the cornerstone of his expertise. His undergraduate education provided a solid foundation in engineering principles, while his master’s degree allowed him to delve deeper into specialized areas of electrical machines. His doctoral research showcased innovative solutions to complex challenges, such as torque ripple reduction and advanced coilgun simulations. This comprehensive academic background not only demonstrates his intellectual rigor but also equips him with the knowledge to tackle real-world engineering problems. Morteza’s commitment to lifelong learning is evident in his continuous pursuit of excellence, and his academic qualifications serve as a testament to his dedication to the field.

Work Experience💼

S. Morteza Banihashemi boasts a rich professional background encompassing academia and industry. As the founder of Electro20, he has demonstrated entrepreneurial vision and technical leadership, driving projects that blend innovation with practical engineering solutions. His teaching roles at multiple institutions highlight his commitment to knowledge dissemination, where he has mentored students in electrical machines and advanced engineering concepts. In the industry, he has worked on diverse projects, contributing to the design, simulation, and optimization of electrical drives and machines. Proficiency in cutting-edge tools like MATLAB, Psim, and Ansoft Maxwell underscores his technical adaptability. His ability to bridge theoretical understanding with hands-on application has been instrumental in solving complex engineering challenges. Morteza’s diverse experiences reflect a dynamic career dedicated to advancing electrical engineering while fostering collaboration between academic and industrial domains.

Awards and Honors

S. Morteza Banihashemi’s career is adorned with numerous accolades that highlight his contributions to electrical engineering. He has received recognition for his innovative research, including awards for projects like torque ripple reduction and advanced coilgun simulations. His role as the founder of Electro20 earned him accolades for entrepreneurial excellence and leadership in driving technological advancements. Additionally, his teaching achievements have been acknowledged with commendations for his impactful mentorship and dedication to student success. Morteza’s expertise in simulation tools and modern engineering practices has earned him industry accolades, further validating his technical proficiency. While his recognition is noteworthy, he aspires to elevate his profile by pursuing international awards and collaborations, ensuring his contributions reach a global audience. These honors underscore Morteza’s dedication to advancing engineering and inspiring others in the field.

Research Focus

S. Morteza Banihashemi’s research focuses on the cutting-edge advancements in electrical machines and drives. Key areas include torque ripple reduction, coilgun simulation, and the optimization of motor performance, reflecting his commitment to solving complex engineering challenges. His work integrates innovative methodologies and advanced tools like MATLAB, Psim, and Ansoft Maxwell to enhance the efficiency and reliability of electrical systems. Morteza’s research bridges the gap between theory and application, ensuring practical relevance in modern engineering contexts. His contributions are geared toward reducing energy consumption, improving operational performance, and developing sustainable engineering solutions. Morteza’s research extends beyond technical innovation, aiming to impact the industry by providing scalable and cost-effective solutions. Through interdisciplinary collaborations and global dissemination, his work strives to advance the field of electrical engineering while addressing real-world challenges.

Conclusion✅

S. Morteza Banihashemi is a strong contender for the Best Researcher Award. Their rich blend of academic credentials, industry expertise, and innovative contributions to electrical engineering positions them as a leading figure in their field. Enhancing global collaborations and publishing in high-impact journals will further solidify their standing as a top researcher.

📚Publications to Noted

“Torque ripple reduction using adaptive gain model predictive control for induction motor drives”
Authors: SM Banihashemy, YA Bromi
Citation Year: 2024

“Inductance variations on performance of linear reluctance accelerators and appropriate selecting of projectile to increase launcher performance”
Authors: SA Fazljoo, M Besmi, SA Fazljoo, SM Banihashemi, M Besmi
Citation Year: 2016