Mohammad Neshati | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr . Mohammad Neshati | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr . Mohammad Neshati, Ferdowsi University of Mashhad, Iran

Dr. Mohammad Hassan Neshati is an Associate Professor in the Department of Electrical Engineering and Electronics at Ferdowsi University of Mashhad, Iran. Born in Yazd in 1959, he specializes in microelectronics, microwave engineering, and antenna design. With over two decades of academic and research experience, Dr. Neshati has been a reviewer and editorial board member for esteemed journals such as IEEE-AP and the International Journal of Antennas and Propagation. A senior IEEE member, he has supervised numerous MSc and PhD students. Dr. Neshati is fluent in English and Persian, contributing significantly to advancements in dielectric resonator antenna technologies.

Publication Profile

Orcid

Education

Dr. Neshati earned his PhD in Electrical Engineering from UMIST (University of Manchester Institute of Science and Technology), UK, where he specialized in numerical modeling and application studies of rectangular dielectric resonator antennas. Before that, he obtained his MSc in Electronics from Amir-Kabir University of Technology, Tehran, focusing on telemetry and radio frequency circuit design. His academic journey began with a BS degree in Electrical Engineering from Isfahan University of Technology, Iran. Throughout his education, Dr. Neshati demonstrated exceptional academic performance, earning scholarships and accolades for his research contributions.

Experience

Dr. Neshati has extensive teaching and research experience, beginning as an Instructor at Sistan & Baluchistan University (1989–1996), later becoming an Assistant Professor there until 2007. He then joined Ferdowsi University of Mashhad, progressing from Assistant Professor (2007–2008) to Associate Professor (2008–present). Dr. Neshati serves on editorial boards of several international journals and is a reviewer for IEEE journals. He has also mentored numerous MSc and PhD students, contributing significantly to academic research and engineering education. His expertise covers microelectronics, microwave devices, antennas, and network analyzers, supported by advanced proficiency in simulation tools like MATLAB, HFSS, and ADS.

Awards and Honors

Dr. Neshati has been a Senior Member of IEEE since 2013 and a regular member since 2000. He was awarded a prestigious scholarship to pursue his PhD studies at UMIST, where he was recognized as a top selected PhD student during 2000–2001. His academic excellence, leadership in research, and significant contributions to the fields of microwave engineering and antenna design have earned him notable distinctions. In addition, his editorial roles in prominent journals further highlight his standing in the scientific community. Dr. Neshati’s awards underscore his commitment to advancing research and fostering academic excellence in electrical engineering.

Research Focus

Dr. Neshati’s research centers around microelectronics, microwave engineering, and advanced antenna systems, particularly focusing on rectangular dielectric resonator antennas (RDRAs). His PhD work combined theoretical modeling, numerical simulation using FEM, and experimental validation of RDRAs. Key areas of investigation include resonance frequency optimization, radiation patterns, Q-factor, impedance bandwidth, and coupling mechanisms. His studies explore various feed structures like probe-fed and microstrip-coupled systems, addressing practical challenges such as fabrication imperfections. Dr. Neshati’s current research extends to dual-band antennas, backward radiation reduction, and dielectric resonator applications, contributing innovations in wireless communication and RF systems design.

Publication Top Notes

  • Development of a Compact Microstrip Antenna Using Slow-Wave Artificial Dielectric Substrate – Microwave and Optical Technology Letters (2025) 📡, DOI: 10.1002/mop.70191

  • Textile-based high-gain bow-tie antenna using metamaterials for medical applications – Engineering Reports (2024) 🏥, DOI: 10.1002/eng2.12949

  • Efficient Design Procedure for Combline Bandpass Filters With Advanced Electrical Responses – IEEE Access (2023) 🔧, DOI: 10.1109/ACCESS.2023.3278791

  • Equivalent Circuit Modeling of a Transmission Mode FSS Structure with Anisotropic Substrate and Enhanced Parameters – Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2022) 🔬, DOI: 10.1007/s40998-022-00489-2

  • Development of a New Method for Pattern Synthesizing of Linear and Planar Arrays Using Legendre Transform With Minimum Number of Elements – IEEE Transactions on Antennas and Propagation (2022) 📡, DOI: 10.1109/TAP.2021.3137200

  • A new noniterative method for pattern synthesis of unequally spaced linear arrays – International Journal of RF and Microwave Computer-Aided Engineering (2019) 🔧, DOI: 10.1002/mmce.21921

  • Crosstalk analysis of uniform and nonuniform lossy microstrip‐coupled transmission lines – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21916

  • Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21677

  • Design and Development of High-Gain SIW H-Plane Horn Antenna Loaded With Waveguide, Dipole Array, and Reflector Nails Using Thin Substrate – IEEE Transactions on Antennas and Propagation (2019) 📡, DOI: 10.1109/TAP.2019.2896445

  • Input impedance modeling of patch and semi-rectangular substrate integrated waveguide cavity hybrid antenna – AEU – International Journal of Electronics and Communications (2018) 🔧, DOI: 10.1016/j.aeue.2018.03.013

Martinson Yeboah Appiah | Engineering | Best Researcher Award

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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.

Ali Fardoost | Engineering | Best Researcher Award

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Mr. Ali Fardoost | Engineering | Best Researcher Award

Graduate Research Assistant, Rutgers University,  United States

Ali Fardoost is a Ph.D. student in Electrical Engineering at Rutgers University, with a strong focus on biosensing, biosensor fabrication, and nanobiotechnology. His research involves the development of innovative cancer biomarker detection systems, microfluidics, and nanowell-based biosensors. With a B.Sc. from the University of Tehran, his academic achievements include a top ranking and an award-winning thesis on cancer detection using real-time impedance measurement. Ali has hands-on experience in cleanroom environments and expertise in advanced software tools. His contributions are demonstrated in several publications, reflecting his dedication to advancing healthcare diagnostics and nanotechnology.

Publication Profile :

Scopus

Educational Background :

Ali Fardoost holds a Ph.D. in Electrical Engineering from Rutgers University and a B.Sc. from the University of Tehran, with excellent academic records (GPA of 4/4 and 3.64/4, respectively). His B.Sc. thesis, which developed a system for differentiating healthy and cancerous lymph nodes, reflects a focus on real-world, critical health issues. Being ranked in the top 0.07% of a national university entrance exam and being recognized as an exceptional talent at the University of Tehran further underscore his academic excellence and intellectual prowess.

Professional Background :

Ali Fardoost is a dedicated researcher currently pursuing his Ph.D. in Electrical Engineering at Rutgers University, with a focus on biosensor development for cancer biomarker detection. He is a Graduate Research Assistant in the NanoBioElectronics Lab, where he designs and fabricates nanowell-based biosensors for healthcare applications. His prior experience includes research on blood impedance spectroscopy for breast cancer diagnosis at the University of Tehran. Ali has developed and tested various biosensors, combining his skills in microfabrication and data analysis. His work aims to innovate in biomedical diagnostics, with a particular focus on cancer detection technologies.

Research Interests :

Ali Fardoost’s research interests span a range of cutting-edge topics in biosensing, biosensor fabrication, microfluidics, nanobioelectronics, and cancer biomarker detection. His focus on developing biosensors for cancer detection, particularly using microfabrication techniques and impedance spectroscopy, aligns with the forefront of bioengineering research. Additionally, his work on nanobiotechnology indicates his commitment to advancing interdisciplinary research, blending electrical engineering with biomedical applications. These areas are pivotal for innovations in healthcare, specifically in diagnosing and monitoring cancer, a critical global health concern.

Research Experience :

Ali has extensive research experience at both Rutgers University and the University of Tehran. His work includes fabricating biosensors for cancer biomarker detection, performing blood impedance spectroscopy for breast cancer diagnosis, and measuring the impedance of thyroid nodules for intraoperative assessment. His hands-on expertise in microfabrication, sensor design, and real-time diagnostics, coupled with his contributions to impactful projects such as cancer detection, demonstrates his deep engagement in the practical application of his research.

Award And Recognition :

Ali Fardoost has been recognized for his exceptional academic and research achievements. He was awarded the Best B.Sc. Thesis Award at the University of Tehran in 2023 for his innovative work on cancer detection using impedance measurement. Additionally, he was accepted for a Master’s program without the need for an entrance exam due to his exceptional academic performance. Ranked 25th among all undergraduate students at the University of Tehran’s College of Electrical and Computer Engineering, Ali also placed in the top 0.07% of participants in Iran’s highly competitive Nationwide University Entrance Exam (Konkoor).

Conclusion :

Ali Fardoost’s strong academic background and cutting-edge research in biosensing, cancer biomarker detection, and nanobiotechnology make him a highly suitable candidate for the Research for Best Researcher Award. His Ph.D. work at Rutgers University and B.Sc. from the University of Tehran demonstrate his exceptional academic performance, while his research projects reflect a deep commitment to solving real-world healthcare challenges. His achievements in microfluidics and biosensor fabrication, along with his focus on cancer diagnosis, show his potential for meaningful contributions to biomedical engineering. Overall, his innovative research and dedication make him a deserving candidate for this prestigious award.

Publication Top Notes :

  • Optimization of Nanowell-Based Label-Free Impedance Biosensor Based on Different Nanowell Structures – Fardoost, A., Raji, H., Javanmard, M. (2024) 📅 Biosensors, 14(9), 426 | Cited by: 0
  • Intraoperative Assessment of High-Risk Thyroid Nodules Based on Electrical Impedance Measurements: A Feasibility Study – Beheshti Firoozabadi, J., Mahdavi, R., Shamsi, K., Akbari, M.E., Abdolahad, M., Fardoost, A. (2022) 📅 Diagnostics, 12(12), 2950 | Cited by: 0

Xiaomin Zhang | Structural Wind Engineering | Best Researcher Award

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Ms. Xiaomin Zhang | Structural Wind Engineering | Best Researcher Award

Ms. Xiaomin Zhang, Civil Aviation Flight University of China

Xiaomin Zhang is a third-year postgraduate student at the Civil Aviation Flight University of China, specializing in structural wind engineering. She has published three papers, including one as the first author in Physics of Fluids (Q1, IF=4.6) and two as a second author in Structures (Q2, IF=3.8) and Advances in Civil Engineering (Q3). Her research focuses on structural wind resistance, including wind pressure distribution and fluid mechanics. With hands-on experience in wind tunnel testing and data analysis, Xiaomin is dedicated to advancing knowledge in her field. She is committed to innovative solutions in engineering.

 

Publication Profile

Orcid

Academic and Professional Background

Ms. Zhang has made significant strides in her academic career. She has published three papers in reputable journals, including one as the first author in Physics of Fluids (Q1, IF=4.6) and two as a second author in Structures (Q2, IF=3.8) and Advances in Civil Engineering (Q3). This impressive publication record showcases her ability to contribute meaningfully to her discipline.

Research and Innovations

Ms. Zhang’s research focuses on structural wind resistance, particularly concerning wind pressure distribution on various structures. Her ongoing projects involve investigating the impacts of environmental factors on structural integrity and developing innovative solutions using fluid mechanics and neural network predictions. Although her publications are recent and have yet to accumulate citations, the quality of her work is evident.

Contributions

Her contributions to the field are noteworthy. Ms. Zhang has conducted comprehensive research on the glass curtain walls of airport terminals, accounting for different environmental conditions. Additionally, she has taken the initiative to design wind tunnel test conditions and analyze experimental data. Her involvement in drafting and revising papers further emphasizes her strong research capabilities.

Conclusion

Xiaomin Zhang is a strong candidate for the Best Researcher Award. Her work not only contributes to the scientific community but also has the potential for real-world applications in enhancing structural safety and resilience.

Publication Top Notes  

Mekuanint Getnet | Engineering Award | Best Researcher Award

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Mr. Mekuanint Getnet | Engineering Award |Best Researcher Award

Mr. Mekuanint Getnet, IIT DELHI, India

Mekuanint Getnet is an Ethiopian PhD scholar at the Indian Institute of Technology (IIT) Delhi, specializing in transportation engineering 🚦. His research focuses on developing sustainable and safe transportation systems, particularly addressing road safety challenges faced by pedestrians on multi-lane highways in low- and middle-income countries 🌍. With a M.Tech. in Transportation Engineering (IIT Delhi) and a B.Sc. in Civil Engineering (Haramaya University), Mekuanint has taught and guided students in courses like traffic safety and road design. He also has consultancy experience in rural road construction and community projects 🛣️.

 

Publication Profile

Orcid

Education

2023-Present: PhD Scholar, Indian Institute of Technology Delhi, TRIP Centre, India

2018-2020: M.Tech. in Transportation Engineering, Indian Institute of Technology Delhi, TRIP Centre, India

2012-2016: B.Sc. in Civil Engineering, Haramaya University, Ethiopia

Teaching Experience

2020-2023: Lecturer, Haramaya Institute of Technology

2016-2018: Assistant Lecturer, Haramaya Institute of Technology

Industry Experience

Mekuanint has hands-on experience in rural road construction and design with TCD Share Company, which further complements his research endeavors by providing practical insights into transportation infrastructure.

Research Interest

Mekuanint’s research focuses on transportation engineering, with a particular emphasis on road safety in low- and middle-income countries (LMICs). He seeks to develop sustainable transportation systems that address the growing challenges of population and traffic, with a keen interest in reducing pedestrian casualties on multi-lane highways. His research has the potential to significantly impact the safety standards in LMICs, showcasing his commitment to improving infrastructure and road designs that minimize accidents.

Conclusion

Mekuanint Getnet’s dedication to transportation safety and his focus on addressing the challenges faced by pedestrians in LMICs positions him as a suitable candidate for the Best Researcher Award. His research addresses real-world problems with significant societal impacts, demonstrating both academic excellence and practical application in improving road safety. His strong educational background, teaching experience, and community engagement further enhance his profile as a committed and capable researcher.

 

Publication Top Note

The safety impacts of paved shoulder width in Indian four-lane rural highways

Amin Foyouzati | Civil Engineering | Best Researcher Award

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Dr. Amin Foyouzati | Civil Engineering | Best Researcher Award

 Mr. Amin Foyouzati, Sharif University of Technology, Iran

Mr. Amin Foyouzati is a structural engineering researcher at Sharif University of Technology, specializing in seismic analysis and retrofitting of concrete structures. With a strong academic foundation and hands-on experience in seismic hazard studies and structural strengthening techniques, Amin continues to contribute to the advancement of seismic safety measures. His research aims to improve the resilience of structures in earthquake-prone regions, combining innovative design and cost-effective solutions.

Publication profile

Orcid Profile

Educational Background

Mr. Amin Foyouzati obtained his MSc in Structural Engineering from Sharif University of Technology in 2020. His thesis, “Investigation on Seismic Behavior of Concrete Structures with Self Centered, Post-Tensioned Shear Walls System,” was supervised by Distinguished Professor Alireza Khaloo. Prior to this, he earned his BSc in Civil Engineering from Shahid Bahonar University of Kerman in 2018, working on steel and reinforced concrete structures.

Work Experience

Amin has been an active researcher at Sharif University of Technology since 2018. Under the supervision of prominent professors like Prof. Alireza Khaloo, Prof. Fayaz Rahimzadeh Rofooei, and Horno Engineering Group Co., he has conducted significant research projects on the seismic behavior of self-centering hybrid wall systems, the development of artificial neural network models for response prediction, and innovative seismic strengthening techniques for existing concrete structures. His work has focused on both practical and theoretical aspects of structural engineering, with strong contributions to the field of seismic hazard analysis and mitigation strategies.

Research Focus

Amin’s research interests lie in the seismic behavior of concrete structures, with a particular emphasis on self-centering wall systems, seismic hazard assessments, and innovative seismic strengthening techniques for concrete frames. His work spans from developing new analytical methods to utilizing passive dampers in structures to enhancing seismic performance in high-risk seismic zones.

Publication Top Notes

Foyouzati, A., Khaloo, AR. (2024). Comprehensive analytical studies on seismic performance of concrete structures equipped with self-centered hybrid wall system in moderate to high seismic hazard zones. Bulletin of Earthquake Engineering, 22, 3979–4002. https://doi.org/10.1007/s10518-024-01913-0

Foyouzati, A., Khaloo, AR. (2024). Seismic performance assessment and fragility analysis of concrete structures equipped with self-centered hybrid wall systems. Sustainable and Resilient Infrastructure. https://doi.org/10.1080/23789689.2024.2403866

Foyouzati, A., Khaloo, AR. Response prediction of self-centered concrete walls using artificial neural networks. Sustainable and Resilient Infrastructure, In Revision.

Foyouzati, A., Rahimzadeh Rofooei, F. (2023). Seismic hazard assessment studies based on developed deterministic and probabilistic approaches for the central-east of Iran region. World Journal of Engineering, 1-14. https://doi.org/10.1108/WJE-04-2023-0100

Foyouzati, A. (2023). Analytical study on seismic strengthening of reinforced concrete frame equipped with steel damping system with shear mechanism fuse. Asian Journal of Civil Engineering, 25, 1115–1127. https://doi.org/10.1007/s42107-023-00820-0

Foyouzati, A. (2024). Probabilistic seismic hazard assessment studies on the central-east of Iran – Kerman region. Iranian Journal of Science and Technology Transactions of Civil Engineering. https://doi.org/10.1007/s40996-024-01428-3

Conclusion

In summary, Mr. Amin Foyouzati’s academic credentials, extensive research experience, prolific publication record, innovative methodologies, and commitment to community impact position him as an exceptional candidate for the Research for Best Researcher Award. His contributions to the field of civil engineering are not only impressive but also vital for enhancing public safety and advancing engineering practices. Recognizing his work with this award would not only honor his achievements but also inspire further innovation in the field.

 

 

Classio Mendiate | Engineering | Excellence in Research

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Dr. Classio Mendiate | Engineering | Excellence in Research

Researcher,  University of Rwanda,  Mozambique

Classio João Mendiate is a senior transport consultant and researcher specializing in transport engineering and urban planning. He currently serves as a lecturer at the University of Rwanda and has extensive experience teaching undergraduate and postgraduate courses. Mendiate holds a Ph.D. in Transportation Planning from the Technical University of Madrid, where his research focused on cycling in Sub-Saharan Africa. He has published nine peer-reviewed journal articles and serves as a peer reviewer for international journals such as CITIES and Sustainability. His professional work includes leading major urban mobility projects like the Sustainable Urban Mobility Plan for Maputo and the TRANS-SAFE project funded by the European Union. Mendiate has earned several honors, including travel grants from the Volvo Research and Educational Foundation. His research contributions, professional expertise, and academic leadership make him a strong candidate for the Research for Excellence in Research Award.

Profile:

Education

Classio João Mendiate holds an impressive educational background that underpins his expertise in transport planning and engineering. He earned his Ph.D. from the Technical University of Madrid between 2017 and 2020, graduating with Distinction Cum Laude. His thesis focused on identifying key explanatory variables for cycling in Sub-Saharan Africa, particularly through a case study in Quelimane, Mozambique. Prior to his doctoral studies, Mendiate obtained a Master of Science in Geoinformation Science and Earth Observation from the University of Twente in the Netherlands from 2009 to 2011, specializing in urban planning. He completed his Bachelor’s degree in Architecture and Urban Planning at Eduardo Mondlane University in Mozambique between 1999 and 2005. His diverse educational experiences have equipped him with a solid foundation in both theoretical knowledge and practical applications in the field of transportation, enhancing his effectiveness as a researcher and educator.

 

Research Skills

Classio João Mendiate possesses a robust set of research skills that underpin his significant contributions to the field of transport engineering and planning. His extensive experience in data collection and analysis, particularly in urban mobility studies, enables him to identify key factors influencing transportation patterns in Sub-Saharan Africa. Proficient in advanced modeling techniques using tools such as PTV VISSIM and PTV Visum, he excels in traffic simulation and forecasting, ensuring accurate predictions that inform sustainable transport solutions. Mendiate’s ability to publish in peer-reviewed journals demonstrates his strong writing and analytical skills, effectively communicating complex research findings to diverse audiences. Additionally, his roles as a peer reviewer for international journals highlight his critical evaluation capabilities and commitment to enhancing the quality of academic research. Through supervising graduate students and leading collaborative projects, he fosters an environment of knowledge exchange, further enriching his research acumen and expanding his influence in the transportation research community.

 

Professional Experiences

Classio João Mendiate boasts extensive professional experience in the field of transport engineering and planning. Currently serving as a senior transport consultant at the Maputo Metropolitan Transport Agency (AMT), he leads critical initiatives such as the Sustainable Urban Mobility Plan for Greater Maputo, focusing on alleviating congestion and pollution. Additionally, Mendiate coordinates the TRANS-SAFE project, funded by Horizon Europe, aimed at transforming road safety in Africa through innovative living labs. His previous roles include significant contributions to the planning and design of Bus Rapid Transit systems in Maputo and traffic modeling for the city’s transport infrastructure. He has also led projects assessing the impact of urban form on walking behaviors across several Mozambican cities. Mendiate’s rich blend of consultancy and research has positioned him as a key figure in advancing urban mobility solutions in Mozambique, demonstrating his commitment to improving transportation systems and policies in the region.

Award And Recognition

Classio João Mendiate is a distinguished scholar and practitioner in the field of transport engineering and planning, recognized for his significant contributions to urban mobility research. He has received several prestigious accolades, including the OGE Fellowship from Mozambique’s Ministry of Education and the Netherlands Fellowship Program from the Dutch Ministry of Foreign Affairs. His commitment to advancing transportation knowledge has been acknowledged through travel grants from the UN Habitat Youth Program and the Volvo Research and Educational Foundation, allowing him to participate in vital conferences and workshops. Mendiate’s academic excellence is further highlighted by his Ph.D. awarded with distinction from the Technical University of Madrid and his role as a peer reviewer for prominent journals such as CITIES and Sustainability. His dedication to fostering innovative transport solutions and enhancing academic discourse positions him as a leading figure in the transportation sector, making him deserving of recognition for his exceptional achievements.

Conclusion

Classio João Mendiate exemplifies excellence in research and education in the field of transportation planning and engineering. His impressive academic background, highlighted by a Ph.D. with distinction from the Technical University of Madrid, lays a solid foundation for his contributions to urban mobility studies. Mendiate’s extensive publication record, comprising nine peer-reviewed articles, showcases his commitment to advancing knowledge in transport challenges specific to Sub-Saharan Africa. Additionally, his leadership roles in significant projects, such as the Sustainable Urban Mobility Plan for Maputo and the TRANS-SAFE initiative, underline his ability to translate research into impactful solutions. His involvement as a peer reviewer for reputable journals further emphasizes his influence within the academic community. Given his substantial achievements, innovative research, and dedication to teaching and mentoring the next generation of transport professionals, Mendiate is a highly deserving candidate for the Research for Excellence in Research Award, embodying the spirit of excellence and advancement in the transportation sector.

Publication Top Notes

  • Exploring cyclists’ travel behaviour in different attitudinal market segments: Case study of Quelimane, Mozambique
    • Authors: Mendiate, C.J., Nkurunziza, A., Soria-Lara, J.A., Monzon, A.
    • Journal: Urban, Planning and Transport Research
    • Year: 2023
    • Citations: 0
  • Cycling in sub-Saharan African cities: Differences and similarities with developed world cities
    • Authors: Mendiate, C.J., Nkurunziza, A., Soria-Lara, J.A., Monzon, A.
    • Journal: IATSS Research
    • Year: 2022
    • Citations: 7
  • Clusters of Bicycle Taxi Operators and their Main Service Operation Patterns: Case Study of Quelimane, Mozambique
    • Authors: Mendiate, C.J., Nkurunziza, A., Mendonça, F., Vicente, P.
    • Journal: East African Journal of Science, Technology and Innovation
    • Year: 2022
    • Citations: 0
  • Exploring Users’ perceptions of factors influencing cycling route choice: A perspective from Quelimane, Mozambique
    • Authors: Mendiate, C.J., Nkurunziza, A., Soria-Lara, J.A., Monzon, A.
    • Journal: Transportation Planning and Technology
    • Year: 2022
    • Citations: 0
  • Pedestrian travel behaviour and urban form: Comparing two small Mozambican cities
    • Authors: Mendiate, C.J., Nkurunziza, A., Machanguana, C.A., Bernardo, R.
    • Journal: Journal of Transport Geography
    • Year: 2022
    • Citations: 9
  • Identifying clusters of cycling commuters and travel patterns: The case of Quelimane, Mozambique
    • Authors: Mendiate, C.J., Soria-lara, J.A., Monzon, A.
    • Journal: International Journal of Sustainable Transportation
    • Year: 2020

Tongtong Wan | Engineering Award | Best Researcher Award

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Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan, East China Jiaotong University, China

Dr. Tongtong Wan is an accomplished scholar in civil engineering. She earned her Ph.D. from Chang’an University (2017-2023) and her Bachelor’s from Nanchang Hangkong University (2013-2017). She gained international experience as a visiting student at Nottingham University (2020-2021) 🌍 and is currently a lecturer at East China Jiaotong University (2023-present) 👩‍🏫. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” 🏅. Dr. Wan has presented at major conferences and participated in several key research projects, earning accolades such as the best wall poster award and a national scholarship 🌟.

 

Publication Profile

Scopus

Education 🎓

Dr. Tongtong Wan earned her Ph.D. in civil engineering from Chang’an University (2017-2023) and her Bachelor’s degree from Nanchang Hangkong University (2013-2017).

Experience 🌍

She expanded her academic horizons as a visiting student at Nottingham University (2020-2021) and currently serves as a lecturer at East China Jiaotong University (2023-present).

Academic Achievements 🏅

Dr. Wan’s research centers on inverted pavement, unbound aggregates, slushing processes, and pavement detection. She has published around 10 papers in international and Chinese journals, including an article in the prestigious “Computer-Aided Civil and Infrastructure Engineering.” She has presented at notable conferences like WTC and SATC, winning the best wall poster award. Additionally, she was awarded a national scholarship for her studies at Nottingham University. Her contributions extend to projects under the National Natural Science Foundation, the Ministry of Transport, and the Hebei Provincial Department of Transportation, garnering recognition from experts in her field.

Research Focus

Dr. Tongtong Wan’s research focuses on several key areas in civil engineering, particularly in pavement engineering. Her work includes studying inverted asphalt pavement structures, optimizing evaluation indicators for asphalt pavement surface segregation, and examining the thermal contraction behavior between unbound aggregate layers and asphalt mixtures 🌟. She employs advanced methods such as the finite difference and discrete element coupling method and response surface method in her research 🛠️. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions 📱. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” 📚.

 

Publication Top Notes

A method determining critical operating parameters for landing aircraft based on runway pavement skid resistance