Amin Darabnoush Tehrani | Buried Infrastructure Rehabilitation Award | Best Researcher Award

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Dr. Amin Darabnoush Tehrani | Buried Infrastructure Rehabilitation Award | Best Researcher Award

Research Associate / Project Manager at The University of Texas at Arlington, United States

Amin Tehrani, PhD, PE, PACP is a Pipeline Specialist with expertise in Civil Engineering and Construction Management from the University of Texas at Arlington. He has extensive experience in trenchless technology, pipe rehabilitation, and project management. Amin has worked with renowned organizations like North Texas Municipal Water District, Freese and Nichols Inc., and ASFI Construction, LLC. He has made significant contributions to the field with research roles at the University of Texas at Arlington, focusing on innovative pipe lining technologies. Amin is recognized with an h-index of 10 and has been cited over 208 times in his field.

Profile

Google Scholar

Education 📚

Amin Tehrani earned his Ph.D. in Civil Engineering with a focus on Structure and Construction Management from the University of Texas at Arlington in 2020. He also holds an M.S. in Civil Engineering from the same institution and a B.S. from Azad University. His academic journey equipped him with a comprehensive understanding of the field, laying the foundation for his impactful career.

Experience 💼

Amin has served as a Wastewater Conveyance Engineer at North Texas Municipal Water District, overseeing capital improvement projects and providing technical support. He has also held the position of Project Manager at Freese and Nichols Inc. and ASFI Construction, LLC, where he specialized in trenchless technology rehabilitation design and project management. Additionally, Amin contributed to research projects at the University of Texas at Arlington as a Post-Doctoral Research Associate and Graduate Research/Teaching Assistant.

Research Interests 🔬

Amin’s research interests revolve around trenchless technology, pipe rehabilitation, and structural evaluation of pipe linings. He has been involved in groundbreaking research projects, including the evaluation of Polymeric Spray Applied Pipe Lining (SAPL) and the development of structural design methodologies for pipe linings. His research aims to advance the understanding and application of innovative pipe rehabilitation technologies.

Awards 🏆

Amin has received research funds totaling $300,000 for his project on Polymeric Spray Applied Pipe Lining (SAPL) Structural Evaluation through Soil Box Testing. His dedication to research and innovation has earned him recognition and funding support, reflecting his significant contributions to the field.

Publications Top Notes 📄

“Finite element analysis for ASTM C-76 reinforced concrete pipes with reduced steel cage” – 2016 Link 📖

“Laboratory Testing of Invert-cut Corrugated Metal Pipes Renewed with Polymeric Spray Applied Pipe Lining” – 2020 Link 📖

“Evaluation of Filling the Valleys of Corrugated Metal Pipes by Trenchless Spray Applied Pipe Linings” – 2019 Link 📖

“Structural evaluation of invert-cut circular and arch shape corrugated steel pipes through laboratory testing” – 2021 Link 📖

 

Paul Takyi-Aninakwa | Control Science and Engineering | Young Scientist Award

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Mr. Paul Takyi-Aninakwa | Control Science and Engineering | Young Scientist Award

Ph.D., Southwest University of Science and Technology, China

Mr. Paul Takyi-Aninakwa is a recipient of the Young Scientist Award for his outstanding contributions to the field of Control Science and Engineering. He earned his Ph.D. from Southwest University of Science and Technology in China, where his research focused on innovative approaches to control systems. 🏆 With a dedication to pushing the boundaries of knowledge and a commitment to excellence, Mr. Takyi-Aninakwa has demonstrated remarkable expertise and promise in his field. His work showcases a blend of academic rigor and practical applications, positioning him as a rising star in the scientific community.

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Orcid

Research Interests

Diving into the forefront of technological innovation, the research of state-of-the-art lithium-ion batteries and their state parameter estimations for battery-powered devices and vehicles represents a critical frontier in sustainable energy solutions. 🔋 With a focus on enhancing efficiency and performance, this research delves into the intricate mechanics and materials that underpin friction, exploring areas such as sliding friction, supersonic sliding, and surface texturing. By unraveling the complexities of friction reduction, scientists aim to unlock new possibilities for improving the lifespan and functionality of battery-powered systems. This interdisciplinary approach promises to drive advancements in both energy storage and transportation sectors, shaping a greener future.

Education

Paul Takyi-Aninakwa’s academic journey spans continents, reflecting a pursuit of excellence in engineering across diverse landscapes. 🎓 He earned his Ph.D. in Control Science and Engineering from Southwest University of Science and Technology in Mianyang, Sichuan Province, China. During this time, he contributed to the New Energy Measurement and Control Laboratory within the School of Information Engineering. Prior to his doctoral studies, he completed his MSc in Mechanical Engineering at the same university, further enriching his expertise. 📚 Before venturing abroad, he obtained his B.Sc. in Mechanical Engineering from Kwame Nkrumah University of Science and Technology in Kumasi, Ashanti Region, Ghana, laying the foundation for his future achievements.

Work Experience

Paul Takyi-Aninakwa’s professional journey intertwines a blend of academic pursuits and practical experiences across continents, reflecting his multifaceted expertise and dedication to innovation. 🌍 As a research and innovation team member and African Community Team Leader at the Co-creation and Innovation Center of Southwest University of Science and Technology in China, he spearheads collaborative initiatives driving technological advancements. Previously, he served as Operations/Maintenance Manager at Logistics Masters Limited in Takoradi, Ghana, overseeing the rental and hiring of heavy-duty equipment for construction projects. His tenure at Japan Motors Trading Company Limited and Ghana Highway Authority further honed his skills in mechanical and maintenance operations, showcasing a diverse skill set poised for impactful contributions.

Research Direction

Paul Takyi-Aninakwa’s academic trajectory reflects a journey marked by rigorous exploration and innovation in engineering disciplines. 📚 As a doctoral student at the New Energy Measurement and Control Laboratory within the School of Information Engineering at Southwest University of Science and Technology in China, his research is dedicated to pioneering new methods for energy measurement and control, specifically targeting the development of efficient battery management systems for lithium-ion batteries in electro-mobility. 🚗 His master’s studies delved into the realm of supersonic sliding friction, utilizing advanced numerical software to simulate and analyze friction phenomena, culminating in the proposal of novel surface texture topographies for friction reduction. 🔄 During his undergraduate tenure at Kwame Nkrumah University of Science and Technology in Ghana, he cultivated a solid foundation in mechanical engineering principles, laying the groundwork for his future innovations.

Publications Top Notes

Title: An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Year: 2022 Link: Applied Energy 326 (2022) 120043 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Carlos Fernandez, Xiaoyong Yang

Title: An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Year: 2022 Link: Energy 260 (2022) 125093 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Huan Li, Wenhua Xu, Carlos Fernandez

Title: A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Year: 2023 Link: Energy 273 (2023) 127231 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters. Year: 2024 Link: Engineering Applications of Artificial Intelligence 132 (2024) 107946 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Alhamdu Nuhu Bage, Faisal Masahudu, Josep M. Guerrero

Title: Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Year: 2023 Link: Journal of Energy Storage 66 (2023) 107495 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 68 (2023) 107728 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez

Title: An ASTSEKF optimizer with nonlinear condition adaptability for the state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 70 (2023) 108098 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez