Nana Chang | Power System Protection | Best Researcher Award

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Dr. Nana Chang | Power System Protection | Best Researcher Award

Lecturer, School of Electrical Engineering, Xi’an University of Technology, China

Dr. Nana Chang is a distinguished researcher in electrical engineering, specializing in power system protection and renewable energy integration. She earned her Ph.D. in Electrical Engineering from Xi’an Jiaotong University in 2024, following a Master’s degree from North China Electric Power University and a Bachelor’s from Xi’an University of Technology. Currently serving as a Lecturer at Xi’an University of Technology, Dr. Chang bridges academia and industry through her involvement in several high-impact research projects. Her work addresses critical challenges in modern power systems, including fault protection in multi-voltage DC grids and resilience under extreme conditions. Dr. Chang has contributed to multiple national-level projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China. She also leads industry-sponsored research, focusing on innovative protection principles for renewable energy-dominated grids.

Profile

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Education

Dr. Nana Chang’s academic journey reflects a strong foundation in electrical engineering. She completed her Bachelor of Science in Electrical Engineering and Automation at Xi’an University of Technology in June 2012. Pursuing advanced studies, she obtained a Master of Science in Power System and Automation from North China Electric Power University (Beijing) in April 2015. Her academic pursuit culminated in a Doctor of Philosophy in Electrical Engineering from Xi’an Jiaotong University in September 2024. Her doctoral research focused on innovative protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, addressing the evolving challenges in modern power systems. This progression showcases her commitment to advancing the field of electrical engineering through rigorous academic training and research.

Experience

Dr. Nana Chang’s professional experience spans both academia and industry, highlighting her expertise in electrical engineering. Since September 2024, she has been serving as a Lecturer at Xi’an University of Technology, where she contributes to the academic development of students and engages in cutting-edge research. Prior to her academic role, Dr. Chang worked at State Grid Xianyang Power Supply Company from August 2015 to June 2019, focusing on the secondary equipment maintenance of substations. This experience provided her with practical insights into power system operations and maintenance, enriching her research perspective. Her dual exposure to theoretical and practical aspects of electrical engineering enables her to bridge the gap between academic concepts and real-world applications effectively.

Research Focus 

Dr. Nana Chang’s research is centered on the protection and resilience of modern power systems, particularly in the context of renewable energy integration. Her doctoral research addressed fault characteristics and protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, a critical area as the energy sector transitions toward decentralized and renewable sources. She is actively involved in projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China, focusing on protection strategies for flexible low-frequency transmission systems and resilience technologies for urban energy systems under extreme conditions. Additionally, Dr. Chang leads industry-sponsored research on innovative protection principles for renewable energy-dominated grids. Her work aims to enhance the reliability and stability of power systems amidst the challenges posed by renewable energy sources.

Publication Top Notes

📘1. Phase Current Based Fault Section Location for Single-Phase Grounding Fault in Non-Effectively Grounded Distribution Network

  • Journal: IEEE Transactions on Industry Applications

  • Year: 2025

  • Authors: Zhongxue Chang, Qingyu He, Nana Chang, Weibin Tan, Wei Zhang, Zhihua Zhang, Guobing Song

  • Summary:
    This paper proposes a novel phase current-based method to locate fault sections caused by single-phase grounding in non-effectively grounded distribution networks. The approach enhances fault localization accuracy in complex systems where conventional methods fall short. The solution reduces misjudgment rates and increases system reliability in medium-voltage power networks, especially relevant to regions with high renewable penetration.

📘 2. Adaptive Fault Identification for Multi-Level Relays Using Fault Tree and User-Defined Inverse-Time Characteristics Equation

  • Journal: Electric Power Systems Research

  • Year: September 2025

  • Authors: Nana Chang, Guobing Song, Jiaheng Jiang

  • Summary:
    This study introduces an adaptive method for fault identification in multi-level relay systems. By combining a fault tree analysis framework with user-defined inverse-time characteristics, the method provides more precise fault detection under variable grid configurations. The adaptive behavior supports more intelligent and flexible relay coordination, particularly important for evolving smart grid environments.

📘 3. An Adaptive Coordinated Wide-Area Backup Protection Algorithm for Network Topology Variability

  • Journal: IEEE Transactions on Power Delivery

  • Year: April 2024

  • Authors: Nana Chang, Guobing Song

  • Summary:
    This paper presents a wide-area backup protection algorithm that adapts to real-time changes in power system topology. The method dynamically adjusts coordination parameters based on topology recognition, improving fault response and ensuring system stability in large-scale and reconfigurable grids. It offers significant improvements in response speed and adaptability for modern interconnected systems.

📘 4. Fault Identification Method Based on Unified Inverse-Time Characteristic Equation for Distribution Network

  • Journal: International Journal of Electrical Power & Energy Systems

  • Year: March 2023

  • Authors: Nana Chang, Guobing Song, Junjie Hou, Zhongxue Chang

  • Summary:
    This article introduces a unified fault identification method for distribution networks using a standardized inverse-time characteristic equation. The technique enhances the coordination of protection devices across diverse protection zones. It is particularly suited for high-penetration renewable energy systems, where conventional settings may not provide reliable fault discrimination due to dynamic operating conditions.

Conclusion

Dr. Nana Chang demonstrates strong technical competence, relevance in research areas, and a well-rounded background in academic and industrial projects. Her work directly contributes to critical advancements in power system protection and renewable energy integration, areas vital to modern energy infrastructure.

Mohammad Mahdavian | Surface Coatings and Corrosion | Best Researcher Award

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Prof. Mohammad Mahdavian | Surface Coatings and Corrosion | Best Researcher Award

Professor, Institute for Color Science and Technology, Iran.

Dr. Mohammad Mahdavian is an esteemed Associate Professor at the Institute for Color Science and Technology (ICST) in Tehran, Iran, specializing in polymer engineering with a focus on surface coatings and corrosion protection. With over a decade of academic and industrial experience, he has significantly contributed to the development of advanced coating technologies, emphasizing sustainability and performance.

Profiles

Education

Dr. Mahdavian completed his Bachelor’s, Master’s, and Ph.D. degrees in Polymer Engineering at Amirkabir University of Technology (AUT), Tehran, Iran. His doctoral research, titled “Evaluation of corrosion inhibition of azole derivatives as alternatives to chromates,” earned him the distinction of top student with a GPA of 3.94. His academic journey reflects a deep commitment to advancing the field of polymer coatings and corrosion science.

Professional Experience

Dr. Mahdavian’s career spans both academia and industry. At ICST, he has held various positions, including Assistant Professor (2009–2011), Assistant Professor at Sahand University of Technology (2011–2013), and currently serves as Associate Professor since 2019. His industrial experience includes roles as Coating Scientist at Atlas Protecting Coating (APC) and Deputy of Paint Production Plant at Khosh Paint Company (KPC). Additionally, he has contributed to administrative services, such as Head of the International Scientific Cooperation Office at ICST and Secretary of the 6th International Color and Coating Congress in 2015.

Awards and Honors

Dr. Mahdavian’s exceptional contributions have been recognized internationally. He has been honored with the Distinguished Paper Award by the American Cleaning Institute in 2012. He was ranked among the top 1% in Materials Science & Cross-Field reviewers by Web of Science in 2019 and has been listed among the top 2% of scientists globally by Elsevier BV and Stanford University in 2020, 2021, and 2022. In 2023, he was selected as a Preeminent Scientist by the National Science Foundation of Iran and as an Outstanding Researcher by the Ministry of Science and Technology.

Research Focus

Dr. Mahdavian’s research encompasses the development of advanced polymer coatings, corrosion inhibitors, and nanocomposite materials. His work explores the synthesis and surface modification of nanoparticles, including graphene oxide, carbon nanotubes, and layered double hydroxides, for use in smart coatings with self-healing and anti-corrosion properties. He also investigates the application of metal-organic frameworks (MOFs) and clays in enhancing the performance of coatings. His interdisciplinary approach integrates electrochemistry, materials science, and nanotechnology to address challenges in corrosion protection.

Publication Top Notes

1. Enhancement of Barrier and Corrosion Protection Performance of an Epoxy Coating through Wet Transfer of Amino Functionalized Graphene Oxide

This study investigates the integration of amino-functionalized graphene oxide (GO) into epoxy coatings to enhance corrosion resistance. The modified coatings exhibited improved barrier properties and corrosion protection, demonstrating the potential of GO-based nanocomposites in protective coatings.

2. Glycyrrhiza Glabra Leaves Extract as a Green Corrosion Inhibitor for Mild Steel in 1 M Hydrochloric Acid Solution

The research explores the use of Glycyrrhiza glabra (licorice) leaf extract as a natural corrosion inhibitor for mild steel in acidic environments. The extract demonstrated significant corrosion inhibition, offering an eco-friendly alternative to traditional inhibitors.

3. Another Approach in Analysis of Paint Coatings with EIS Measurement: Phase Angle at High Frequencies

This paper presents an alternative method for analyzing paint coatings using Electrochemical Impedance Spectroscopy (EIS), focusing on phase angle measurements at high frequencies. The approach provides insights into the protective performance of coatings.

4. Covalently-Grafted Graphene Oxide Nanosheets to Improve Barrier and Corrosion Protection Properties of Polyurethane Coatings

The study examines the enhancement of polyurethane coatings by covalently grafting graphene oxide nanosheets. The modified coatings exhibited improved mechanical properties and corrosion resistance, highlighting the role of nanomaterials in coating performance.

5. Enhancement of the Corrosion Protection Performance and Cathodic Delamination Resistance of Epoxy Coating through Treatment of Steel Substrate by a Novel Nanometric Sol-Gel

This research investigates the application of a novel nanometric sol-gel treatment on steel substrates to enhance the corrosion protection and cathodic delamination resistance of epoxy coatings. The treatment led to significant improvements in coating performance.

6. Development of Metal-Organic Framework (MOF) Decorated Graphene Oxide Nanoplatforms for Anti-Corrosion Epoxy Coatings

The paper explores the development of metal-organic framework (MOF) decorated graphene oxide nanoplatforms for incorporation into epoxy coatings. The modified coatings demonstrated enhanced anti-corrosion properties, showcasing the potential of MOFs in protective coatings.

7. Effects of Highly Crystalline and Conductive Polyaniline/Graphene Oxide Composites on the Corrosion Protection Performance of a Zinc-Rich Epoxy Coating

This study investigates the incorporation of polyaniline/graphene oxide composites into zinc-rich epoxy coatings. The composites enhanced both cathodic protection and barrier properties, offering a dual mechanism for improved corrosion resistance.ADS

8. Corrosion Inhibition Performance of 2-Mercaptobenzimidazole and 2-Mercaptobenzoxazole Compounds for Protection of Mild Steel in Hydrochloric Acid Solution

The research evaluates the corrosion inhibition performance of 2-mercaptobenzimidazole and 2-mercaptobenzoxazole compounds for mild steel in hydrochloric acid. The study provides insights into the effectiveness of these compounds as corrosion inhibitors.

9. Persian Liquorice Extract as a Highly Efficient Sustainable Corrosion Inhibitor for Mild Steel in Sodium Chloride Solution

This paper examines the use of Persian liquorice extract as a sustainable corrosion inhibitor for mild steel in sodium chloride solution. The extract demonstrated high efficiency, offering an environmentally friendly alternative to traditional inhibitors.

10. Electrochemical Impedance Spectroscopy and Electrochemical Noise Measurements as Tools to Evaluate Corrosion Inhibition of Azole Compounds on Stainless Steel in Acidic Media

The study utilizes Electrochemical Impedance Spectroscopy (EIS) and Electrochemical Noise Measurements (ENM) to evaluate the corrosion inhibition of azole compounds on stainless steel in acidic media. The findings contribute to understanding the protective mechanisms of azole-based inhibitors.

Conclusion

Dr. Mohammad Mahdavian is a highly accomplished and internationally recognized researcher in the field of polymer coatings and corrosion protection. His robust publication record, impactful patents, academic leadership, and industrial collaborations form a compelling case for the Best Researcher Award. With continued expansion into international funding and science communication, he could further strengthen his candidacy for even broader global honors.

Providence Habumuremyi | Civil Engineering | Best Researcher Award

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Dr. Providence Habumuremyi | Civil Engineering | Best Researcher Award

Postdoctoral Fellow, Fuzhou University, China.

Dr. Providence Habumuremyi, born on January 1, 1988, in Rwanda, is a distinguished civil engineer specializing in tunnel stability and geotechnical engineering. Currently a postdoctoral fellow at Fuzhou University, China, he earned his Doctor of Engineering from Beijing Jiaotong University, focusing on three-dimensional analytical methods for tunnel face stability in undrained clay grounds. His academic journey includes a Master’s degree in Civil Engineering from the same university and a Bachelor’s degree from the University of Rwanda. Dr. Habumuremyi’s professional experience spans roles such as Civil Engineer at Beijing Jinghangan Airport Engineering Co., Ltd., contributing to international airport projects in the Maldives and Zambia. His multilingual abilities and cross-cultural experiences enhance his collaborative research endeavors. Recognized for his analytical skills and innovative approaches, Dr. Habumuremyi continues to impact the field through research, publications, and contributions to major engineering projects.

Profile

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🎓 Education

  • Doctor of Engineering in Civil Engineering
    Beijing Jiaotong University, China (09/2019 – 06/2024)
    Dissertation: Three-Dimensional Analytical Continuous Upper Bound Limit Analyses for Face Stability of Shallow Shield Tunneling in Undrained Clay Ground
    Supervisor: Prof. Yan-Yong Xiang

  • Master of Engineering in Civil Engineering
    Beijing Jiaotong University, China (09/2015 – 06/2017)
    Thesis: Friction Pendulum Systems for Seismic Isolation of Structures in Near-Fault Regions
    Supervisor: Prof. Lin LiuResearcher Discovery+1AGRIS+1

  • Bachelor of Science in Civil Engineering
    University of Rwanda (01/2011 – 08/2014)
    Supervisor: Prof. Park Ildong

🏗️ Experience

  • Postdoctoral Researcher
    Fuzhou University, China (11/2024 – Present)
    Research Focus: Tunnel stability, ground and structural dynamics, geotechnical engineering.

  • Inspector
    Beijing Jianyetong Engineering Testing Technology Co., Ltd. (07/2024 – 11/2024)
    Responsibilities: Preparation of construction drawings, on-site surveying, attending technical meetings.

  • Civil Engineer
    Beijing Jinghangan Airport Engineering Co., Ltd. (07/2017 – 09/2019)
    Projects: Expansion of Maldives Velana International Airport; Construction of Ndola Simon Mwansa Kapwepwe International Airport, Zambia.
    Responsibilities: Preparation of construction drawings, site supervision, technical meetings, translation of technical documents (Chinese to English).

  • Director of Studies
    Collegio Santo Antonio Maria Zaccaria (01/2015 – 09/2015)
    Responsibilities: Supervision of teachers, curriculum implementation follow-up, teaching Mathematics, Physics, Technical Drawing, Scaffolding.

🔬 Research Focus 

Dr. Habumuremyi’s research centers on the stability analysis of tunnel faces, particularly in undrained clay conditions. He employs analytical and computational methods, including three-dimensional upper bound limit analyses, to assess and enhance the safety of shallow shield tunneling operations. His work extends to geotechnical engineering, focusing on soil-structure interaction, and the dynamics of structures under seismic loading. By integrating tools like MATLAB, SAP2000, ABAQUS, and OPTUM G2 & G3, he develops models that predict structural responses to various geotechnical challenges. His interdisciplinary approach aims to improve construction practices and inform the design of resilient infrastructure.

📚 Publication Top Notes

1. A 3-D Analytical Continuous Upper Bound Limit Analysis for Face Stability of Shallow Shield Tunneling in Undrained Clays

Journal: Computers and Geotechnics, December 2023
DOI: 10.1016/j.compgeo.2023.105779
Authors: Providence Habumuremyi, Yanyong Xiang

Summary:
This paper introduces a three-dimensional (3D) analytical upper bound limit method to evaluate face stability in shallow shield tunneling through undrained clay. Unlike previous two-dimensional models, the authors developed a 3D continuous velocity field based on a logarithmic spiral failure mechanism, offering more accurate predictions. The method considers various tunnel depths, diameters, and face pressures.

Key Contributions:

  • Developed a new continuous 3D velocity field using upper bound limit analysis.

  • Applied to shield tunneling in undrained clay (e.g., soft cohesive soil in urban areas).

  • Validated against numerical simulations (ABAQUS), showing good agreement.

  • Provided design charts for practicing engineers.

Relevance:
This model improves the safety and efficiency of tunnel construction in soft ground by offering realistic estimations of the support pressure required to prevent face collapse.

2. Determining Trigger Factors of Soil Mass Failure in a Hollow: A Study Based in the Sichuan Province, China

Journal: CATENA, September 2022
DOI: 10.1016/j.catena.2022.106368
Authors: Jules Maurice Habumugisha, Ningsheng Chen, Mahfuzur Rahman, Providence Habumuremyi, Etienne Tuyishimire, et al.

Summary:
This study investigates the main triggering factors of soil mass failure (landslides) in a specific hollow area of Sichuan Province, China. It uses field data, geostatistics, and geotechnical analysis to assess slope failure causes. Key parameters include slope angle, rainfall, vegetation cover, and soil composition.

Key Contributions:

  • Combined field sampling, laboratory testing, and remote sensing.

  • Identified critical depth and shear strength thresholds for failure.

  • Proposed mitigation techniques, including improved land management and vegetative cover.

Relevance:
Essential for improving slope stability prediction and disaster risk reduction in landslide-prone mountainous regions.

3. Friction Pendulum Systems for Seismic Isolation of Structures in Near-Fault Regions

Type: Master’s Thesis
Date: May 20, 2017
DOI: 10.13140/RG.2.2.19943.15527
Author: Providence Habumuremyi

Summary:
This thesis evaluates the performance of Friction Pendulum Systems (FPS) for seismic isolation in buildings located in near-fault zones. Near-fault ground motions can be intense and impulsive, posing challenges to conventional structural designs. The study uses numerical simulations in SAP2000 to demonstrate how FPS can effectively decouple structures from strong ground motions.

Key Contributions:

  • Designed FPS models for medium-rise buildings.

  • Compared base-isolated structures with fixed-base ones under near-fault motion.

  • Showed significant reduction in base shear and inter-story drift with FPS.

Relevance:
Supports the use of FPS isolation technology in earthquake engineering, particularly for civil infrastructure near seismic faults.

4. Mitigation Measures for Wind Erosion and Sand Deposition in Desert Railways: A Geospatial Analysis of Sand Accumulation Risk

  • Journal: Sustainability, April 29, 2025

  • DOI: 10.3390/su17094016

  • Authors: Mahamat Nour Issa Abdallah, Tan Qulin, Mohamed Ramadan, Providence Habumuremyi

Summary:

This study presents a comprehensive geospatial analysis aimed at identifying and mitigating the risks associated with wind erosion and sand deposition along desert railway corridors. Utilizing advanced GIS tools and remote sensing data, the research identifies high-risk zones where sand accumulation poses significant threats to railway infrastructure. The authors evaluate various mitigation strategies, including the implementation of sand fences, vegetation barriers, and optimized track alignments, to reduce the impact of aeolian processes on railway operations.

Key Contributions:

  • Development of a geospatial risk assessment model for sand accumulation along railway lines.

  • Identification of critical zones susceptible to wind-induced sand deposition.

  • Evaluation of mitigation measures and their effectiveness in different environmental contexts.

  • Recommendations for integrating geospatial analysis into railway planning and maintenance strategies.

Relevance:

The findings offer valuable insights for railway engineers and planners working in arid regions, providing tools and strategies to enhance the resilience of railway infrastructure against wind erosion and sand deposition.

5. Atom Search Optimization: A Systematic Review of Current Variants and Applications

  • Journal: Knowledge and Information Systems, April 12, 2025

  • DOI: 10.1007/s10115-025-02389-3

  • Authors: Sylvère Mugemanyi, Zhaoyang Qu, François Xavier Rugema, Yunchang Dong, Lei Wang, Félicité Pacifique Mutuyimana, Emmanuel Mutabazi, Providence Habumuremyi, Rita Clémence Mutabazi, et al.

Summary:

This comprehensive review delves into the Atom Search Optimization (ASO) algorithm, a nature-inspired metaheuristic optimization technique. The paper systematically categorizes existing variants of ASO, analyzing their structural modifications, performance enhancements, and application domains. It also highlights the algorithm’s adaptability in solving complex optimization problems across various fields, including engineering design, machine learning, and operational research.

Key Contributions:

  • Classification and analysis of existing ASO variants and their respective enhancements.

  • Evaluation of ASO’s performance in comparison to other optimization algorithms.

  • Identification of application areas where ASO has been effectively employed.

  • Discussion on the challenges and future research directions in the development of ASO algorithms.

Relevance:

For researchers and practitioners in optimization and computational intelligence, this review serves as a valuable resource, offering a consolidated understanding of ASO’s capabilities and guiding future developments in the field.

Conclusion

Dr. Providence Habumuremyi presents a compelling case as a highly promising and accomplished early-career researcher in civil and geotechnical engineering. His strong academic foundation, international research contributions, publication record, and multilingual competence support his suitability for the Best Researcher Award. While there is room to grow in terms of independent research leadership and impact-driven dissemination, his trajectory indicates a strong upward path in academic and engineering research.

Mahamat Abdallah | Sustainability | Young Researcher Award

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Mr. Mahamat Abdallah | Sustainability | Young Researcher Award

Civil Engineer, Beijing Jiaotong University, China

Mahamat Nour Issa Abdallah is an emerging civil engineer and researcher specializing in sustainable infrastructure in arid regions. He earned his BSc in Civil Engineering from Shenyang Jianzhu University, China, and is currently pursuing a Master’s degree at Beijing Jiaotong University. His professional journey includes roles as a Site Engineer and Engineering Department Supervisor in China and the UAE, where he managed diverse projects focusing on quality control, design coordination, and regulatory compliance. Fluent in English, Arabic, and Mandarin, Mahamat’s multicultural proficiency enhances his collaborative capabilities. His research, particularly on wind erosion and sand deposition in desert railways, reflects a commitment to addressing environmental challenges through geospatial analysis and innovative engineering solutions. Mahamat’s blend of academic rigor and practical experience positions him as a promising contributor to sustainable civil engineering practices.

Profile

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🎓 Education 

  • Bachelor of Science in Civil Engineering
    Shenyang Jianzhu University, China (2016–2020)
    Focused on structural analysis, construction materials, and project management, laying a strong foundation in civil engineering principles.

  • Master of Science in Civil Engineering
    Beijing Jiaotong University, China (2021–Present)
    Specializing in geospatial analysis and sustainable infrastructure, Mahamat’s research addresses mitigation strategies for wind erosion and sand deposition in desert railway systems. His interdisciplinary approach combines environmental science with civil engineering to develop resilient infrastructure solutions.

🏗️ Experience 

  • Intern, Shenyang ZhongHeng Construction Engineering L.L.C, China (2019–2020)
    Conducted daily site inspections, quality control, and manpower reporting. Assisted in reviewing and modifying fit-out drawings, coordinating with site supervisors and technicians.

  • Site Engineer, DHCN Construction L.L.C, Dubai, UAE (2021–2022)
    Oversaw daily site operations, ensured quality standards, coordinated with foremen, and managed progress reporting. Handled inspection approvals and rectification of non-conformance reports.

  • Engineering Department Supervisor, Origin International Management L.L.C & AL Qimma Engineering Consultancy L.L.C, Abu Dhabi, UAE (2022–Present)
    Managed coordination between consultants and contractors for shop drawing approvals, designed architectural and electrical drawings, and arranged fit-out quotations. Handled site inspections, obtained necessary NOCs, and ensured compliance with fire safety systems. Reported weekly progress and handed over completed projects to clients.

🔬 Research

Mahamat’s research centers on sustainable infrastructure development in arid regions, with a particular emphasis on mitigating wind erosion and sand deposition affecting desert railways. Utilizing geospatial analysis and computational modeling, his work aims to develop effective strategies for maintaining the integrity and safety of railway systems subjected to harsh desert conditions. His interdisciplinary approach integrates environmental science, civil engineering, and data analytics to address the challenges posed by sand accumulation on railway tracks. By focusing on the optimization of sand mitigation measures, Mahamat contributes to the advancement of resilient infrastructure solutions that are crucial for the sustainability of transportation networks in desert environments.MDPI

📚 Publication Top Notes

1. Mitigation Measures for Wind Erosion and Sand Deposition in Desert Railways: A Geospatial Analysis of Sand Accumulation Risk

  • Journal: Sustainability

  • Publication Date: April 29, 2025

  • DOI: 10.3390/su17094016

  • Contributors: Mahamat Nour Issa Abdallah, Tan Qulin, Mohamed Ramadan, Providence Habumuremyi

Summary:
This study presents a geospatial analysis of sand accumulation risks affecting desert railways. By integrating environmental data and computational modeling, the research identifies critical areas prone to wind erosion and sand deposition. The findings offer valuable insights into the development of targeted mitigation strategies to enhance the resilience and safety of railway infrastructure in arid regions.

Conclusion

Mahamat Nour Issa Abdallah is a promising early-career civil engineer with a strong combination of practical experience, multilingual ability, and emerging research in sustainable infrastructure. His work is especially relevant to Middle Eastern and desert environments, making him a good candidate for a Young Researcher Award, particularly if the award emphasizes applied civil engineering, resilience against climate challenges, or geospatial environmental research.

Kuniaki Mihara | Thermal comfort | Best Researcher Award

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Dr. Kuniaki Mihara | Thermal comfort | Best Researcher Award

Chief researcher, Kajima corporation, Japan

Dr. Kuniaki Mihara is a distinguished Chief Researcher at Kajima Technical Research Institute (KaTRI), with over two decades of expertise in human-built environmental interaction. His work focuses on thermal comfort, occupant-centric control systems, intellectual productivity, and biophilic design. Holding a Ph.D. in Building from the National University of Singapore, Dr. Mihara is also a LEED Accredited Professional (BD+C) and an ASHRAE Certified HVAC Designer. His contributions have significantly advanced sustainable and occupant-friendly building solutions, particularly in Southeast Asia.

Profiles

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Google Scholar

Education 

Dr. Mihara earned his Bachelor and Master of Engineering degrees in Architecture from Tohoku University, Japan, in 2004 and 2006, respectively. His early research focused on passive ventilation measurement methods in residences. He later pursued a Ph.D. in Building at the National University of Singapore, completing it in 2020. His doctoral thesis, titled “Human Response Studies of a Dedicated Outdoor Air System with Ceiling Fans in the Tropics,” explored the integration of ceiling fans with dedicated outdoor air systems to enhance thermal comfort in tropical climates. This research has been instrumental in developing energy-efficient cooling strategies suitable for hot and humid environments.

Experience 

Since joining Kajima Technical Research Institute in 2006, Dr. Mihara has progressed from Research Engineer to Chief Researcher. His career spans over 20 years, during which he has led numerous projects focusing on thermal comfort, energy efficiency, and sustainable building design. Notably, he has been involved in the development of hybrid cooling systems and occupant-centric control strategies. His work has been pivotal in promoting energy-efficient practices in building design across Southeast Asia. Dr. Mihara’s expertise has also been recognized through his participation in technical reference groups and collaborations with academic institutions.

Awards and Honors

Dr. Mihara’s contributions to building science have been recognized with several awards. In 2019, he received the SHASE Academic Paper Award for his work on evaluating the compatibility of renewable energy with thermal loads in district heating and cooling systems. His research has been widely cited, reflecting its impact on the field. Additionally, his involvement in developing energy-efficient cooling technologies has garnered attention from both industry and academia, further solidifying his reputation as a leader in sustainable building research.

Research Focus 

Dr. Mihara’s research centers on enhancing thermal comfort and energy efficiency in buildings. He specializes in integrating ceiling fans with dedicated outdoor air systems, developing occupant-centric control strategies, and exploring the psychological impacts of indoor environments. His work often involves interdisciplinary approaches, combining engineering, architecture, and human factors to create sustainable and comfortable living and working spaces. Through extensive field studies and collaborations, Dr. Mihara aims to develop practical solutions that address the challenges of building design in tropical climates.

Publication Top Notes

1. How Does Green Coverage Ratio and Spaciousness Affect Self-Reported Performance and Mood?

  • Publication: Building and Environment, November 2023

  • DOI: 10.1016/j.buildenv.2023.110939

  • Summary: This study investigates the impact of green coverage and spatial openness on individuals’ self-reported performance and mood. The findings suggest that higher green coverage and increased spaciousness positively influence occupants’ mood and perceived performance, emphasizing the importance of biophilic design in urban environments.

2. A Semi-Automatic Data Management Framework for Studying Thermal Comfort, Cognitive Performance, Physiological Performance, and Environmental Parameters in Semi-Outdoor Spaces

  • Publication: Sustainability, December 2022

  • DOI: 10.3390/su15010183

  • Summary: This paper presents a semi-automatic framework designed to manage and analyze multidimensional data related to thermal comfort, cognitive performance, physiological responses, and environmental parameters in semi-outdoor spaces. The framework aims to streamline data processing, reducing errors and improving efficiency in environmental studies.

3. Transient Thermal and Physiological Responses from Air-Conditioned Room to Semi-Outdoor Space in the Tropics

  • Publication: Building and Environment, November 2022

  • DOI: 10.1016/j.buildenv.2022.109611

  • Summary: This study examines the immediate thermal and physiological responses of individuals transitioning from air-conditioned indoor environments to semi-outdoor spaces in tropical climates. Results indicate that occupants quickly adapt to the new environment, with minimal discomfort, highlighting the potential for integrating semi-outdoor spaces in building designs.

4. Environmental Satisfaction, Mood, and Cognitive Performance in Semi-Outdoor Space in the Tropics

  • Publication: Building and Environment, May 2022

  • DOI: 10.1016/j.buildenv.2022.109051

  • Summary: This research explores the effects of semi-outdoor environments on environmental satisfaction, mood, and cognitive performance. Findings suggest that semi-outdoor spaces can support short-term work activities without compromising performance, provided certain environmental conditions are met.

5. Assessment of Airflow and Heat Transfer Around a Thermal Manikin in a Premise Served by DOAS and Ceiling Fans

  • Publication: Building and Environment, April 2022

  • DOI: 10.1016/j.buildenv.2022.108902

  • Summary: This paper investigates the airflow patterns and heat transfer characteristics around a thermal manikin in environments utilizing Dedicated Outdoor Air Systems (DOAS) combined with ceiling fans. The study provides insights into optimizing thermal comfort through strategic airflow management.

6. Physiological and Psychological Responses and Cognitive Performance with Window View

  • Publication: Science and Technology for the Built Environment, March 2022

  • DOI: 10.1080/23744731.2022.2049639

  • Summary: This study examines the impact of window views on occupants’ physiological and psychological responses, as well as cognitive performance. Results indicate that views of nature can reduce stress and enhance cognitive functions, underscoring the value of incorporating natural elements in building design.

7. Thermal and Perceived Air Quality Responses Between a Dedicated Outdoor Air System with Ceiling Fans and Conventional Air-Conditioning System

  • Publication: Building and Environment, March 2021

  • DOI: 10.1016/j.buildenv.2020.107574

  • Summary: This research compares thermal comfort and perceived air quality between spaces using DOAS with ceiling fans and those with conventional air-conditioning systems. Findings suggest that DOAS with ceiling fans can achieve comparable comfort levels while reducing energy consumption.

8. Thermal Comfort and Energy Performance of a Dedicated Outdoor Air System with Ceiling Fans in Hot and Humid Climate

  • Publication: Energy and Buildings, November 2019

  • DOI: 10.1016/j.enbuild.2019.109448

  • Summary: This study evaluates the thermal comfort and energy performance of integrating ceiling fans with DOAS in hot and humid climates. The results demonstrate significant energy savings without compromising occupant comfort.

9. Effects of Temperature, Air Movement, and Initial Metabolic Rate on Thermal Sensation During Transient State in the Tropics

  • Publication: Building and Environment, May 2019

  • DOI: 10.1016/j.buildenv.2019.03.030

  • Summary: This paper investigates how temperature, air movement, and initial metabolic rate affect thermal sensation during transitional periods in tropical climates. The study provides insights into designing HVAC systems that accommodate transient thermal conditions.

10. Time Series Prediction of CO₂, TVOC, and HCHO Based on Machine Learning at Different Sampling Points

  • Publication: Building and Environment, December 2018

  • DOI: 10.1016/j.buildenv.2018.09.054

  • Summary: This study applies machine learning techniques to predict indoor air pollutants like CO₂, TVOC, and HCHO. The predictive models aim to enhance indoor air quality monitoring and management.

Conclusion

Dr. Kuniaki Mihara exemplifies a modern, impactful researcher whose work bridges academic excellence and practical innovation in sustainable building design and human-environment interaction. His technical expertise, project leadership, and real-world application of research outcomes make him highly deserving of the Best Researcher Award.

Masoud Khajenoor | Chemical Engineering | Engineering Development Award

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Dr Masoud Khajenoor | Chemical Engineering | Engineering Development Award

Dr, Masoud Khajenoori, University of Kashan, Iran

Dr. Masoud Khajenoori is an Assistant Professor in the Department of Chemical Engineering at the Faculty of Engineering. With extensive experience in heterogeneous catalysis, gas separation technologies, and simulation of molecular dynamics, he has established himself as a dedicated researcher in the field. His scientific interests include dry reforming of methane over nano-catalysts, modeling of gas centrifuge systems, and investigation of mass transfer in human airways. Dr. Khajenoori has co-authored multiple peer-reviewed journal articles, collaborating with researchers across fields such as nanotechnology, chemical engineering, and nuclear science. His work addresses both fundamental and applied aspects of energy-efficient gas separation and reaction mechanisms. Through his research, Dr. Khajenoori aims to contribute to sustainable energy solutions and advanced separation systems. He actively mentors students and participates in collaborative research projects, enhancing interdisciplinary academic activities and bridging theoretical research with industrial application.

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🔹 Education 

Dr. Masoud Khajenoori holds a Ph.D. in Chemical Engineering, specializing in molecular simulation and heterogeneous catalysis. His academic training provided a solid foundation in the principles of reaction engineering, mass transfer, and nanomaterials. He pursued both his undergraduate and graduate studies in top-ranked institutions, where he focused on advanced simulation techniques including Direct Simulation Monte Carlo (DSMC) and computational modeling of gas-solid systems. His doctoral research emphasized the development and application of nano-catalysts for dry reforming reactions, with a specific interest in CeO₂-promoted Ni/MgO catalysts. Throughout his academic journey, Dr. Khajenoori was recognized for his analytical skills, academic excellence, and interdisciplinary approach to solving complex engineering problems. His strong background in physics, thermodynamics, and numerical methods enables him to carry out pioneering research in gas centrifugation and nanoparticle behavior under various flow conditions. He continues to apply this expertise in both teaching and research activities.

🔹 Employment

Dr. Masoud Khajenoori is currently employed as an Assistant Professor in the Department of Chemical Engineering, Faculty of Engineering. He holds a full-time, on-contract position, where he actively teaches undergraduate and graduate courses in reaction engineering, process simulation, and heat and mass transfer. As a faculty member, he has contributed significantly to curriculum development and academic planning, ensuring alignment with global research and industry trends. Beyond teaching, Dr. Khajenoori leads several research projects focusing on gas centrifuge modeling, nano-catalysis, and chemical process optimization. He plays a vital role in mentoring students, supervising thesis projects, and fostering interdisciplinary collaborations with national and international partners. He frequently engages in publishing high-impact journal articles and contributes to peer reviews for scientific journals. His employment reflects a commitment to advancing both academic excellence and technological innovation in chemical engineering.

🔹 Research Focus

Dr. Masoud Khajenoori’s research centers on gas separation technologies, catalytic processes, and computational modeling. His primary focus lies in the dry reforming of methane using nano-engineered catalysts such as CeO₂-promoted Ni/MgO, addressing both energy efficiency and CO₂ utilization. He has developed comprehensive models for gas centrifuge systems using DSMC (Direct Simulation Monte Carlo) and Sickafus analytical methods, enabling precise simulations of multi-component gas separation. Another area of his research involves the prediction and modeling of physical properties like thermal conductivity and viscosity in rare gases and radioactive compounds. Additionally, he has worked on simulations of nanoparticle deposition in human airways, bridging chemical engineering and biomedical applications. His recent projects extend into molecular pump optimization using metaheuristic algorithms, reflecting a strong commitment to computational chemical engineering. Dr. Khajenoori’s work provides novel insights into improving separation power, catalyst performance, and sustainable gas processing technologies.

🔹 Publication Top Notes

1. Dry reforming over CeO₂-promoted Ni/MgO nano-catalyst: effect of Ni loading and CH₄/CO₂ molar ratio

  • Authors: M. Khajenoori, M. Rezaei, F. Meshkani

  • Journal: Journal of Industrial and Engineering Chemistry, Vol. 21, Pages 717–722, 2015

  • Citations: 116

  • Summary:
    This study investigates the catalytic performance of CeO₂-promoted Ni/MgO nano-catalysts in the dry reforming of methane (DRM). The researchers evaluated how varying nickel loadings and CH₄/CO₂ ratios affect conversion efficiency and catalyst stability. Results showed that an optimal Ni content improves dispersion, reduces sintering, and enhances resistance to carbon deposition. CeO₂ acts as a structural promoter, increasing oxygen storage and supporting CO₂ activation. This research contributes to the development of sustainable reforming processes using greenhouse gases as feedstocks.

2. Simulation of Gas Centrifuge Separation Process for Binary and Ternary Isotope Mixtures Using Direct Simulation Monte Carlo (DSMC) Method

  • Authors: M. Khajenoori, A. R. Alaei

  • Journal: Progress in Nuclear Energy, Vol. 85, Pages 506–516, 2015

  • Citations: 41

  • Summary:
    This paper presents a DSMC-based simulation for analyzing gas centrifuge separation efficiency in binary and ternary isotope mixtures, particularly uranium enrichment. The study compares simulation results with analytical models and experimental benchmarks, showing excellent agreement and improved understanding of separation mechanisms at molecular levels. The findings support the optimization of gas centrifuge designs in nuclear fuel cycles.

3. Thermal Conductivity and Viscosity Prediction of Rare Gases and Radioactive Gas Mixtures Using Artificial Neural Networks

  • Authors: M. Khajenoori, H. Khorsand, M. Rezaei

  • Journal: Applied Thermal Engineering, Vol. 60, Issues 1–2, Pages 129–136, 2013

  • Citations: 36

  • Summary:
    This research applies artificial neural network (ANN) models to predict the thermal conductivity and viscosity of rare gases and radioactive gas mixtures, often used in nuclear and space applications. The ANN model achieved high accuracy compared to traditional equations, offering a fast and reliable predictive tool for complex gas behavior under varied temperature and pressure conditions.

4. Study of Nanoparticles’ Deposition in Human Airways Using a Two-phase Eulerian–Lagrangian Model

  • Authors: M. Khajenoori, A. Ebrahimnia-Bajestan, M. B. Shafii

  • Journal: Journal of Aerosol Science, Vol. 103, Pages 32–43, 2016

  • Citations: 29

  • Summary:
    This interdisciplinary study models how inhaled nanoparticles deposit in the respiratory tract using a two-phase flow simulation approach. The research is significant in evaluating health risks of nano-sized particles from environmental and industrial exposure. Findings highlight the impact of particle size, breathing rate, and flow dynamics on deposition efficiency in various airway regions.

5. CFD Simulation and Optimization of Molecular Drag Pump Using Genetic Algorithm and Response Surface Method

  • Authors: M. Khajenoori, M. Aminyavari, M. T. Ahmadi

  • Journal: Vacuum, Vol. 119, Pages 173–182, 2015

  • Citations: 22

  • Summary:
    The paper combines computational fluid dynamics (CFD), genetic algorithms (GA), and response surface methodology (RSM) to optimize the performance of molecular drag pumps (MDPs). By adjusting geometrical parameters, the team significantly enhanced throughput and compression ratios. The integrated approach serves as a blueprint for designing high-performance vacuum systems used in electronics and semiconductors.

6. Experimental and Theoretical Study on CeO₂-modified Ni Catalysts Supported on Mesoporous MgO for CO₂ Reforming of Methane

  • Authors: M. Khajenoori, F. Meshkani, A. A. Mirzaei

  • Journal: International Journal of Hydrogen Energy, Vol. 38, Issue 4, Pages 1905–1916, 2013

  • Citations: 61

  • Summary:
    This article investigates the effect of CeO₂ addition on Ni/MgO catalysts prepared via sol–gel and co-precipitation methods for CO₂ reforming of methane. The CeO₂-modified catalysts displayed superior catalytic stability, higher activity, and resistance to carbon formation. Experimental results were validated using kinetic modeling and characterization techniques like XRD and BET analysis.

Conclusion

Dr. Masoud Khajenoori demonstrates strong potential and current achievements in engineering research and development. His work on process modeling, clean energy, and advanced simulations contributes meaningfully to engineering knowledge and innovation. While he would benefit from increased industry collaboration and wider dissemination of his work, his solid research foundation, technical sophistication, and contribution to education make him a strong contender for the Research for Engineering Development Award.

Francisco Sierra Lopez | Medicine and Health Sciences | Best Researcher Award

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Dr. Francisco Sierra Lopez| Medicine and Health Sciences | Best Researcher Award

Guest researcher, High Specialty Regional Hospital of Ixtapaluca (HRAEI), Mexico

Francisco Sierra López is a guest researcher at the High Specialty Regional Hospital of Ixtapaluca (HRAEI), Mexico. A molecular biologist and biomedical innovator, he specializes in the study of extracellular vesicles and their role in infections, cancer, and immunological processes. He received his Bachelor’s in Biology and completed postdoctoral research at the National Autonomous University of Mexico (UNAM), followed by a Master’s and Ph.D. in Science from the Center for Research and Advanced Studies (CINVESTAV-IPN). His interdisciplinary approach led to the discovery and patenting of immunogenic giant extracellular vesicles (VEGs) derived from protozoan parasites. Francisco has authored four internationally recognized publications and is credited with both a national and a WIPO-registered patent. His research continues to explore novel diagnostic and therapeutic avenues in oncology and infectious diseases.

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Education

Francisco Sierra López holds a Bachelor of Science in Biology and pursued his postdoctoral training at the National Autonomous University of Mexico (UNAM), one of Latin America’s most prestigious research institutions. He earned his Master’s and Doctorate degrees in Science from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), specializing in cell and molecular biology. During his academic tenure, he engaged in groundbreaking studies on protozoan parasites and molecular signaling, which later expanded into the study of extracellular vesicles across species. His educational journey was characterized by a consistent focus on translational research, integrating bench-side discovery with real-world applications. Francisco’s advanced training in biomedical sciences forms the cornerstone of his research career, laying a foundation for his subsequent innovations in immunogenic vesicle technologies.

Experience

Francisco Sierra López currently serves as a guest researcher at the High Specialty Regional Hospital of Ixtapaluca (HRAEI), where he investigates biomedical applications of extracellular vesicles (EVs). His earlier career includes roles as a doctoral and postdoctoral researcher at CINVESTAV-IPN and UNAM, respectively. Throughout his scientific path, Francisco has designed and led interdisciplinary research projects—particularly those examining extracellular vesicle secretion in pathogenic protozoa, cancerous tissues, and immune cell lines. He has served as principal investigator in four funded research projects and collaborated with various specialists in parasitology, oncology, and cellular biology. Despite having no direct industry collaborations to date, his research findings hold strong potential for clinical and pharmaceutical innovation. Francisco’s work is marked by technical precision and creative experimentation, leading to peer-reviewed publications and internationally recognized patents.

Research Focus

Francisco Sierra López’s research centers on the secretion and application of extracellular vesicles (EVs) across a spectrum of biological contexts, from protozoan parasitology to immunology and oncology. He has conducted experimental studies on EVs secreted by protozoan parasites, such as Entamoeba histolytica and Acanthamoeba culbertsoni, elucidating their roles in host-pathogen interactions. His work also extends to understanding EVs in cancer cells (including ovarian cancer and leukemia) and immune cells (monocytes, macrophages), particularly under co-infection conditions such as COVID-19. Francisco’s innovative methodologies have led to two patents concerning the purification and immunogenic potential of EVs. His cross-disciplinary approach bridges cellular biology with biomedical application, aiming to transform vesicle biology into actionable health interventions. This research contributes not only to fundamental biology but also to diagnostics, vaccine development, and therapeutic targeting.

Publication Top Notes

1. Influence of Micropatterned Grill Lines on Entamoeba histolytica Trophozoites Morphology and Migration

Authors: F. Sierra-López, L. Baylón-Pacheco, et al.
Journal: Frontiers in Cellular and Infection Microbiology, Vol 8, 295, 2018
Cited by: 8
Summary: This study reveals how surface topography influences the morphology and motility of E. histolytica, highlighting the interaction between physical microenvironments and protozoan behavior.

2. Characterization of Low Molecular Weight Protein Tyrosine Phosphatases of Entamoeba histolytica

Authors: F. Sierra-López, L. Baylón-Pacheco, SC Vanegas-Villa, JL Rosales-Encina
Journal: Biochimie, Vol 180, pp. 43–53, 2021
Cited by: 5
Summary: This biochemical investigation characterizes phosphatases in E. histolytica, offering insight into potential enzymatic targets for therapeutic intervention in amoebiasis.

3. Extracellular Vesicles Secreted by Acanthamoeba culbertsoni Have COX and Proteolytic Activity and Induce Hemolysis

Authors: F. Sierra-López, I. Castelan-Ramírez, D. Hernández-Martínez, et al.
Journal: Microorganisms, Vol 11(11), Article 2762, 2023
Cited by: 3
Summary: The paper explores enzymatic activities within EVs secreted by A. culbertsoni, showing their role in red blood cell lysis and pathogenicity mechanisms.

4. A Fraction of Escherichia coli Bacteria Induces an Increase in the Secretion of Extracellular Vesicle Polydispersity in Macrophages

Authors: SMM Sierra-López F, Iglesias-Vázquez V, et al.
Journal: International Journal of Molecular Sciences, Vol 26(8), 2025
Summary: This upcoming article discusses how bacterial co-infection alters EV secretion profiles in immune cells, with implications for inflammation and viral pathogenesis.

Patents

1. Immunogenic Giant Extracellular Vesicles of Parasitic Protozoa

Patent No.: MX/a/2016/014875 | IMPI | Issued: March 22, 2023
Folio: MX/E/2016/081517
Inventors: Francisco Sierra López, Luis A. Carreño Sánchez, José L. Rosales Encina
Patent Link (IMPI)

2. Same Patent Filed at WIPO

Folio: PCT/IB2017/056917 | Published: June 17, 2018
Patent Link (WIPO)

Conclusion

Dr. Francisco Sierra López stands out as a high-potential early-career researcher whose innovative work on extracellular vesicles spans a rare combination of protozoan pathogenesis, cancer biology, and immunology. His cross-disciplinary research, patented technologies, and early scholarly impact indicate a trajectory toward excellence in biomedical science.