Dr. Xin Zhou | Engineering | Best Researcher Award

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Dr. Xin Zhou | Engineering | Best Researcher Award

Dr. Xin Zhou | Engineering – Lecture at Shanghai University of Electric Power, China

Dr. Xin Zhou is a passionate and emerging researcher in the field of automation engineering, currently serving as a lecturer at Shanghai University of Electric Power. With a solid international educational background and hands-on research in robotics and intelligent optimization, he brings both academic insight and practical relevance to his work. Dr. Zhou has focused his career on robotic path planning, artificial intelligence in manufacturing, and intelligent control systems. His rapid contributions to both the theoretical foundations and industrial applications of intelligent robotics make him a promising candidate for the Best Researcher Award.

Education:

Dr. Zhou’s academic path spans several prestigious institutions across China, the UK, and Australia. He received his Ph.D. in Control Science and Engineering from East China University of Science and Technology in 2022, concentrating on intelligent algorithms and robotic optimization. He earned his Master’s degree in Digital Systems and Communication Engineering from the Australian National University (2016–2017), developing skills in communication and embedded systems. His undergraduate training was jointly conducted at the University of Liverpool and Xi’an Jiaotong-Liverpool University (2011–2015), where he majored in Electrical Engineering and Automation, providing a strong technical foundation for his current work.

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Experience:

Since August 2022, Dr. Zhou has been working as a lecturer at the School of Automation Engineering, Shanghai University of Electric Power. In this position, he teaches undergraduate and graduate courses while engaging in active research. He has participated in two completed projects funded by the National Natural Science Foundation of China (NSFC), focusing on welding robotics and production scheduling under uncertainty. Dr. Zhou is also leading a current industry-funded research project on motion planning algorithms for robotic systems used in complex maintenance tasks. His combination of academic research and industrial cooperation demonstrates a comprehensive and practical research profile.

Research Interest:

Dr. Zhou’s primary research interests include robotic path planning, multi-objective optimization, intelligent algorithms, and smart manufacturing systems. He specializes in developing evolutionary algorithms and applying them to real-world robotic control challenges, especially in arc welding scenarios. His work aims to enhance the intelligence, flexibility, and adaptability of autonomous robotic systems, contributing to Industry 4.0 initiatives. He is particularly known for his work on decomposition-based optimization methods and real-time obstacle avoidance strategies.

Awards:

While Dr. Zhou is still early in his career, he has already made notable contributions to applied innovation, as evidenced by three Chinese patents in the area of robotic path planning. These patents include novel systems and methods for arc welding robot navigation and gantry-type robotic control, with the most recent filed in December 2023. His work in patented technologies reflects his practical approach to academic research and commitment to industry-aligned solutions.

Publications:

Dr. Zhou has authored and co-authored several influential journal papers. Below are seven key publications, with emojis, journal names, publication years, and citation notes:

📘 A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation – Swarm and Evolutionary Computation, 2021. Cited for its novel adaptive mechanism in multi-objective optimization.

🤖 An approach for solving the three-objective arc welding robot path planning problem – Engineering Optimization, 2023. Frequently referenced in robotics and optimization studies.

🛠️ Online obstacle avoidance path planning and application for arc welding robot – Robotics and Computer-Integrated Manufacturing, 2022. Cited in real-time control literature.

🔍 A Collision-free path planning approach based on rule-guided lazy-PRM with repulsion field for gantry welding robots – Robotics and Autonomous Systems, 2024. Recent paper gaining citations in dynamic path planning.

📚 A survey of welding robot intelligent path optimization – Journal of Manufacturing Processes, 2021. Serves as a key reference for scholars in the welding robotics field.

🧠 Rule-based adaptive optimization strategies in robotic welding systems – Under review, targeted at IEEE Transactions on Industrial Informatics.

🔄 Multi-objective task sequencing and trajectory planning under dynamic constraints – Manuscript in progress for Journal of Intelligent Manufacturing.

Conclusion:

Dr. Xin Zhou is a standout young researcher whose work in robotic path planning and intelligent optimization has already made a significant impact in the field of automation. His research integrates high-level algorithm development with real-world engineering applications, making his contributions both academically valuable and practically useful. With a growing body of well-cited publications, involvement in both national and industry-sponsored projects, and active innovation through patents, Dr. Zhou is a strong candidate for the Best Researcher Award. His trajectory reflects both dedication and innovation, and he continues to show strong potential to lead transformative work in intelligent automation in the years ahead.

 

 

 

Iman Khosravi | Engineering | Best Researcher Award

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Dr. Iman Khosravi | Engineering | Best Researcher Award 

Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering & Transportation, University of Isfahan, Iran 

Dr. Iman Khosravi is an Assistant Professor at the University of Isfahan, Iran, in the Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation. A specialist in Remote Sensing and Photogrammetry, he has made substantial academic and scientific contributions through research, teaching, and interdisciplinary collaborations. He has actively participated in national and industry-based projects and is recognized for his leadership in academic program development and innovation. His scientific expertise is grounded in image processing, pattern recognition, and surveying technologies, where he continues to shape the future of geomatics education and research.

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Education

Dr. Khosravi obtained his Ph.D. in Remote Sensing Engineering in 2018 from the University of Tehran, one of Iran’s leading institutions for advanced studies in geographical sciences. Following his doctoral completion, he further refined his research skills as a postdoctoral researcher in the Department of Remote Sensing & GIS, Faculty of Geography, University of Tehran. This strong academic foundation enabled him to pursue a comprehensive academic and research career with a focus on both theoretical knowledge and applied innovations.

Experience

Currently serving as an Assistant Professor at the University of Isfahan, Dr. Khosravi brings years of practical and academic experience in the fields of geomatics, surveying, and remote sensing. His academic role is complemented by his service in various departmental and institutional leadership positions, including roles as Educational Deputy, Research Deputy, and Deputy of the Industry Relations Office. He also directs the Specialized Career Guidance and Employment Center, fostering industry-academia connections. His background includes supervising national projects and offering consultancy in remote sensing and surveying engineering initiatives.

Research Interest

Dr. Khosravi’s research is centered on the integration and advancement of radar and optical remote sensing, photogrammetry, and high-resolution image processing for geospatial applications. He is especially focused on the development of object-oriented image analysis and the application of pattern recognition techniques to spatial data. His work often explores the synergy between theoretical models and real-world application, including environmental monitoring and urban infrastructure assessment through advanced survey techniques. He is also committed to innovation in unmanned aerial vehicle (UAV) photogrammetry and educational methods in analytical photogrammetry.

Award

Dr. Khosravi is nominated for the Best Researcher Award in recognition of his remarkable publication record, multidisciplinary contributions, and academic leadership. With more than 25 peer-reviewed journal articles indexed in SCI and Scopus, over 300 citations, two published textbooks with ISBNs, and involvement in five research projects, he exemplifies academic excellence. His continued efforts to blend scientific rigor with educational advancement and practical implementation position him as a leader in the geomatics research community.

Publication

Among his published work, the following are selected key contributions:

“Urban Green Space Classification Using Object-Oriented Techniques” (2017, Remote Sensing Letters) – Cited by 32 articles.

“Fusion of Radar and Optical Imagery for Surface Change Detection” (2018, International Journal of Applied Earth Observation and Geoinformation) – Cited by 27 articles.

“Object-Based Image Analysis in Agricultural Monitoring” (2019, GIScience & Remote Sensing) – Cited by 19 articles.

“UAV-Based Photogrammetry for Urban Infrastructure Mapping” (2020, ISPRS International Journal of Geo-Information) – Cited by 15 articles.

“Pattern Recognition in High-Resolution Satellite Imagery” (2021, Sensors) – Cited by 11 articles.

“Integration of GIS and Remote Sensing for Land Use Planning” (2022, Land Use Policy) – Cited by 9 articles.

“Machine Learning Approaches in Remote Sensing Classification” (2023, Computers & Geosciences) – Cited by 6 articles.

Each of these articles demonstrates his commitment to advancing remote sensing techniques and their applications across diverse fields, reflecting strong interdisciplinary relevance.

Conclusion

Dr. Iman Khosravi exemplifies the qualities of a top-tier researcher through his commitment to high-impact research, publication excellence, academic authorship, and service to the scholarly and professional communities. His holistic contribution to the fields of remote sensing and geomatics engineering makes him an outstanding candidate for the Best Researcher Award. His continued pursuit of innovation and mentorship ensures that his influence extends beyond publications—nurturing future scholars and fostering cross-sector collaboration.

Prof. Dr. Sudip Basack | Civil Engineering | Distinguished Scientist Award

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Prof. Dr. Sudip Basack | Civil Engineering | Distinguished Scientist Award 

Prof. Dr. Sudip Basack, Regent Education and Research Foundation, India

Dr. Sudip Basack is a seasoned academician and civil engineer with over 21 years of extensive teaching, research, and administrative experience in India and abroad. He holds a Ph.D. in Geotechnical Engineering from Jadavpur University, India, and has served in key academic roles including Professor, Principal, and Head of Department at various reputed institutions. Dr. Basack has worked internationally as a Research Academic and Postdoctoral Fellow in Australia, specializing in ground improvement and railway geomechanics. His research interests span geotechnical engineering, water resources, and groundwater hydrology, with numerous publications in peer-reviewed international journals and conferences. A Chartered Engineer and Fellow of several professional bodies, Dr. Basack is known for his dedication to academic excellence, leadership in R&D projects, supervision of postgraduate and doctoral scholars, and commitment to advancing civil engineering education and practice globally. He is currently serving as an Adjunct Professor at the Department of Civil Engineering, Graphic Era Deemed to be University, Dehradun, India.

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Summary of Suitability for Distinguished Scientist Award

Dr. Sudip Basack is highly suitable for the  Distinguished Scientist Award owing to his distinguished academic and research career spanning over 21 years, including international experience in Australia. His impactful contributions to geotechnical engineering—reflected through high-quality publications in top-tier journals, funded research projects, and PhD supervision—demonstrate his leadership in research innovation. Dr. Basack’s work on stone column-reinforced soft soils and pile foundations has gained significant citations and recognition globally. His consistent pursuit of excellence and dedication to advancing civil engineering research make him a strong and deserving candidate for this prestigious

🎓 Educational Background

  • 📅 2000 – Ph.D. in Engineering (Geotechnical Engineering)
    Jadavpur University, Kolkata, India

  • 📅 1996 – Master of Civil Engineering (1st Class, Geotechnical Engineering)
    Jadavpur University, Kolkata, India

  • 📅 1994 – Bachelor of Engineering (1st Class, Civil Engineering)
    Bengal Engineering College (now IIEST Shibpur), University of Calcutta, India

💼 Professional Work Experience

👨‍🏫 Academic Positions – 21+ Years

  • 📍 Adjunct Professor, Graphic Era University, Dehradun
    (Feb 2024 – Present)
    🧪 Teaching & research in Geotechnical & Civil Engineering

  • 🎓 Principal, Elitte College of Engineering, Kolkata
    (Sept 2019 – Jan 2024)
    🏫 College administration and teaching

  • 🏗️ Professor & Head, Dept. of Civil Engineering, Kaziranga University, Assam
    (Jan 2018 – Jan 2019)

  • 🇦🇺 ARC Level-A Research Academic, University of Wollongong, Australia
    (Mar 2014 – Mar 2017)
    Ground improvement, railway geomechanics

  • 🇦🇺 Endeavour Postdoctoral Fellow, Australian Govt. – UOW
    (May 2010 – Nov 2010)

  • 🇦🇺 Visiting Fellow, University of Technology Sydney
    (Nov 2010 – Dec 2010)

  • 🏫 Faculty Member, Bengal Engineering & Science University (Now IIEST Shibpur)
    (2002 – 2014)
    Roles: Lecturer → Assistant Professor → Associate Professor

  • 🏫 Lecturer, ICV Polytechnic, Jhargram
    (Feb 2001 – Aug 2002)

🏗️ Industry Experience – 0.75 Years

  • 👷‍♂️ Project Engineer, Tara International, Kolkata
    (Oct 1999 – Mar 2000)

  • 🏗️ Trainee Structural Engineer, Sristi Consultants, Kolkata
    (Nov 2000 – Feb 2001)

🏆 Achievements & Contributions

  • 📚 Authored high-quality papers in peer-reviewed international journals & conferences

  • 🎓 Supervised numerous M.Tech and Ph.D. students successfully

  • 💼 Completed several Govt.-sponsored R&D projects and industrial consultancy works

  • 🎙️ Delivered invited lectures/seminars at national and international forums

  • 🧪 Engaged in cutting-edge research on:

    • Ground improvement techniques

    • Railway geomechanics

    • Pile-soil interaction

    • Geoenvironmental engineering

🥇 Awards & Honors

  • 🏅 Endeavour Postdoctoral Research Fellowship by the Australian Government

  • 🏅 Multiple national and international recognitions for academic and research excellence

  • 🌍 Recognition across the International Engineering Fraternity

  • 👨‍🏫 Consistent positive feedback from students for teaching effectiveness

Publication Top Notes:

Numerical solution of stone column–improved soft soil considering arching, clogging, and smear effects

CITED:164

Modeling the stone column behavior in soft ground with special emphasis on lateral deformation

CITED:84

Engineering properties of marine clays from the eastern coast of India

CITED:80

Modeling the performance of stone column–reinforced soft ground under static and cyclic loads

CITED:77

Measured and predicted response of pile groups in soft clay subjected to cyclic lateral loading

CITED:66

 

Jian Qin | Structural analysis, Nonlinear calculation | Excellence in Scientific Innovation Award

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Prof. Dr. Jian Qin | Structural analysis, Nonlinear calculation | Excellence in Scientific Innovation Award

Senior Technical Expert at State Grid Electric Power Engineering Research Institute Co., Ltd, China

Qin Jian is an esteemed researcher and senior technical expert specializing in power transmission and substation engineering. With a background in solid mechanics and mechanical engineering, he has contributed significantly to the advancement of transmission line equipment and nonlinear mechanical studies. His expertise lies in developing innovative solutions for complex power transmission challenges, leading several key research projects in the field. Over the years, his work has been recognized with multiple prestigious awards, demonstrating his influence in the domain of electrical power infrastructure and engineering mechanics.

Profile

Scopus

Education

Qin Jian pursued his higher education in solid mechanics at Peking University, where he earned his doctoral degree in 2009. His research during this period focused on advanced computational methods in mechanical analysis, laying a strong foundation for his later work in engineering applications. Following his PhD, he undertook postdoctoral research at the University of Science and Technology Beijing, further refining his expertise in mechanical engineering and structural analysis.

Experience

After completing his postdoctoral studies, Qin Jian joined the China Electric Power Research Institute in 2011, where he has been actively engaged in research and development related to power transmission and substation engineering. His professional journey has been marked by significant contributions to the study of nonlinear mechanics in transmission line construction and the development of specialized equipment for efficient power infrastructure deployment. As a senior technical expert, he has played a vital role in multiple national-level projects, enhancing the safety, efficiency, and reliability of electrical power networks.

Research Interests

Qin Jian’s research interests encompass power transmission line equipment, nonlinear mechanical behavior in construction, and the development of intelligent engineering solutions. His studies focus on improving the efficiency of material transport in complex terrains using cableway systems, as well as optimizing structural integrity through advanced computational modeling. His work integrates experimental research, numerical simulation, and field applications, aiming to enhance both theoretical understanding and practical implementation in transmission engineering.

Awards

Qin Jian’s outstanding contributions to power transmission engineering have been recognized through several prestigious awards. In 2021, he received the second prize in the State Grid Science and Technology Progress Awards for his pioneering work on aerial cableway systems in transmission line construction. His innovative safety assessment techniques and intelligent design systems for cable transport earned him the second prize in the China Electric Power Construction Science and Technology Progress Awards in 2020. Additionally, he has been honored with multiple accolades from the China Electric Power Research Institute for his advancements in nonlinear mechanics and engineering design, further solidifying his reputation as a leading expert in his field.

Publications

Qin Jian has authored numerous high-impact journal articles, contributing to the advancement of power transmission engineering and nonlinear mechanics. Below are seven selected publications along with their respective journals and publication years:

Qin J., Qiao L., et al. (2025). “Calculation Method and Experimental Research on Strand Breakage in Large Cross-section Conductors Considering Contact Between Strands.” Engineering Failure Analysis.

Qin Jian, Qiao Liang, et al. (2024). “Analysis, Simulation, and Experimental Research on the Mechanisms of Lantern-shaped Strand Defects in the Conductor Construction of Transmission Line.” Structures.

Qin J., Zhang Q. D., Huang K. F. (2011). “Oblique and Herringbone Buckling Analysis of Steel Strip by Spline FEM.” Journal of Iron and Steel Research (International).

Qin J., Zhang Q. D., Huang K. F. (2012). “Nonlinear Spline Finite Element Method for Ribbing of Cold-Rolled Coils.” Journal of Iron and Steel Research (International).

Qin Jian, Xia Yongjun. (2013). “Suspension Analysis Matrix Iteration Method Based on Segmented Catenary Theory.” Journal of Engineering Design.

Qin Jian, Qiao Liang, Jiang Ming, et al. (2019). “Multi-support Cableway Load Calculation Method and Tension Imbalance Effect Analysis.” China Safety Science and Technology Journal.

Qin Jian, Zhang Feikai, Li Qiying, et al. (2022). “Automatic Path Planning Method for Cargo Ropeways Based on Terrain Adaptation.” Journal of Southwest Jiaotong University.

Conclusion

Based on his academic excellence, innovative research contributions, leadership in national projects, and recognized impact in engineering sciences, Qin Jian is highly suitable for the Research for Excellence in Scientific Innovation Award. His work in power transmission, structural mechanics, and computational methodologies has significantly advanced the field, making him a strong candidate for recognition in scientific innovation.

Aditya Pandit | Construction Management | Industry Leadership Excellence Award

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Mr. Aditya Pandit | Construction Management | Industry Leadership Excellence Award

Project Manager at BECO Asset Management, LLC, United States

Aditya Pandit is an accomplished project manager with extensive experience in construction and facilities management. Currently serving as a Project Manager at BECO Asset Management, he has played a key role in overseeing various multifamily, commercial, and land development projects. With a strong foundation in civil engineering and a solid background in business administration, he excels in project planning, scheduling, cost estimation, and contract management. His expertise spans software applications such as AutoCAD, Revit, Navisworks, Primavera P6, Procore, and Bluebeam Revu, which enable him to drive efficiency and precision in construction management. His career reflects a consistent commitment to excellence in the built environment, demonstrating his leadership and technical acumen in managing complex projects.

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Education

Aditya Pandit holds a Master of Business Administration (MBA) from Trine University, completed in May 2023, with a specialization in business administration and a strong focus on financial management, strategic marketing, and project execution. His academic background also includes a Master of Science in Construction and Facilities Management from the University of North Carolina at Charlotte, which he earned in December 2017. This program equipped him with in-depth knowledge of quality assurance, safety and risk management, and advanced construction planning. Prior to his graduate studies, he obtained a Bachelor of Engineering in Civil Engineering from Visvesvaraya Technological University, India, where he developed foundational expertise in structural design, materials science, and construction methodologies.

Professional Experience

With a career spanning several years in construction management, Aditya Pandit has progressively advanced through key roles at BECO Asset Management. As a Project Manager since May 2021, he has been responsible for managing various high-profile developments, including apartment complexes, commercial buildings, medical centers, and land development projects. His role involves scheduling, budgeting, subcontractor coordination, and financial oversight. Before this, he served as an Assistant Project Manager from 2018 to 2021, where he played a crucial role in project execution, cost estimation, and contract negotiation. His initial role at BECO was as a Project Scheduler, where he worked on establishing project timelines and ensuring efficient workflow using MS Project and other scheduling tools. Through these roles, he has gained extensive experience in project lifecycle management, from initial planning to successful completion.

Research Interests

Aditya Pandit’s research interests lie in the application of Building Information Modeling (BIM) and advanced construction technologies to improve efficiency and sustainability in the construction industry. He has explored topics related to project scheduling, cost estimation, and quality assurance in construction. His academic projects have focused on the critical path method (CPM), 4D simulation, and clash detection using BIM software, demonstrating his interest in integrating digital solutions into construction management. Additionally, he has analyzed procurement strategies through RFP and RFI evaluations, contributing to a better understanding of contractual frameworks in large-scale construction projects. His focus remains on enhancing project delivery through innovative methodologies and technology-driven solutions.

Awards and Recognitions

Throughout his career, Aditya Pandit has demonstrated exceptional leadership and expertise in construction management, earning various certifications and recognitions. He holds professional certifications such as OSHA 30, CMIT, Lean Six Sigma Green Belt, and Procore certification, highlighting his commitment to industry standards and safety regulations. His project contributions have also been instrumental in the successful completion of multimillion-dollar developments, positioning him as a key asset in the field. His work in project scheduling and execution has been acknowledged within his organization, and his expertise in BIM and cost estimation has earned him recognition among industry professionals.

Selected Publications

1️⃣ 🏗️ Digital Twins in Construction: Creating Real-Time Replicas of Large-Scale Projects (Jan 2025) – Exploring digital twins for real-time monitoring and efficiency in construction.
2️⃣ 🍽️ Integrating Restaurants into Mixed-use Development (Nov 2024) – Investigating how restaurants contribute to urban revitalization in mixed-use projects.
3️⃣ 🚦 Traffic Impact Considerations for Multifamily Developments with Significant Commercial Components (Aug 2021) – Assessing residential and commercial traffic interplay in urban areas.
4️⃣ 🏠 Post-Construction Activities in Multifamily Developments: Scheduling Close-Outs and Punch Lists (Dec 2020) – Managing post-construction phases to ensure smooth transitions to occupancy.
5️⃣ 📅 Optimizing Construction Schedules for Multifamily Housing Projects (Nov 2020) – Enhancing efficiency through phase overlap, resource management, and BIM integration.
6️⃣ 🏢 Surcharge Piles in Soft Clay Foundations: Engineering Solutions for Multi-Story Structures (Aug 2020) – Addressing weak soil foundations using surcharge piles for stability.
7️⃣ 🛠️ Analysis of Surcharge Mud Pile for Building Pad Compaction (Jul 2020) – Improving soil compaction with surcharge mud piles for structural stability.

Conclusion

Aditya Pandit exemplifies the qualities of an industry leader in construction and facilities management through his academic research, project execution, and technological innovations. His ability to lead large-scale construction projects, integrate advanced research methodologies, and drive industry advancements makes him a deserving candidate for the Research for Industry Leadership Excellence Award. His contributions not only enhance project efficiencies but also establish new benchmarks for excellence in the construction industry.

Samuel Ojo | Civil and Environmental Engineering | Best Researcher Award

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Mr. Samuel Ojo | Civil and Environmental Engineering | Best Researcher Award

Samuel Ojo – Civil and Environmental Engineering | Graduate Research/Teaching Assistant at Case Western Reserve University, United States

Samuel Tosin Ojo is a highly motivated and innovative civil engineer specializing in sustainable infrastructure and environmental engineering. Currently pursuing a Ph.D. in Civil Engineering at Case Western Reserve University, Samuel is dedicated to developing advanced building materials and technologies that address key environmental challenges. His research spans various interdisciplinary fields, including machine learning applications in environmental engineering, bio-sensing wearables, and materials science for improved air quality. With a deep commitment to improving engineering practices and sustainable building solutions, Samuel brings a unique blend of academic rigor and practical experience to his field.

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Education

Samuel’s academic journey in civil engineering began at Ladoke Akintola University of Technology, where he earned a Bachelor of Technology (B. Tech) degree in Civil Engineering. Graduating with distinction, he achieved a GPA of 4.54 out of 5.0, placing him among the top two students in a cohort of 120. Currently, he is advancing his expertise as a Ph.D. candidate at Case Western Reserve University, focusing on cutting-edge research in civil engineering. This program has provided him with an exceptional platform for deepening his knowledge in sustainable building materials and the development of predictive machine learning models, broadening his understanding of how civil engineering can contribute to environmental health and sustainability.

Experience

Samuel has amassed extensive practical experience, beginning his professional career in Nigeria with FBS Construction Engineering Services, where he served as a site engineer on an ambitious multi-story hotel project. He was responsible for interpreting architectural and structural drawings, managing reinforcements, and supervising concrete batching. His roles required meticulous oversight of structural details, which helped him build a robust foundation in construction management. Later, he worked with Oat Construction and Matrix Resource Limited, where he managed the construction of commercial structures and gained hands-on experience in interpreting complex design specifications. Currently, he is applying his skills as a Research Assistant at Case Western Reserve University, where he delves into the application of innovative materials and machine learning techniques to enhance air quality and structural sustainability.

Research Interest

Samuel’s research centers on sustainable infrastructure, emphasizing the role of innovative materials in improving the built environment. His primary focus is the application of machine learning to enhance organic photocatalysts for indoor air quality management, a project aimed at mitigating pollutants in urban spaces. Additionally, Samuel is exploring bio-sensing wearables, a novel area in civil engineering that integrates biosensors with construction materials to improve environmental monitoring. His multidisciplinary research efforts reflect a forward-looking approach, seeking to integrate sustainable materials and data-driven methodologies to address pressing environmental challenges in urban infrastructure.

Awards

Samuel has received several prestigious awards that acknowledge his dedication to both academic excellence and professional growth. In 2021, he was honored with the Swanger Fellows Award at Case Western Reserve University, followed by a nomination for the Zydane Award later that year. His presentation skills earned him the People’s Award at the Three Minute Thesis (3MT) competition in 2023, a testament to his ability to communicate complex concepts effectively. Samuel was also awarded the Roy Harley Award, recognizing his promise as a graduate student in civil and environmental engineering. Most recently, he received the NCF 2023 Scholarship Award for his outstanding academic performance, further underscoring his commitment to the field of civil engineering.

Publications

“Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making” (2023) in ACS ES&T Water.

“A Novel Interpretable Machine Learning Model Approach for the Prediction of TiO2 Photocatalytic Degradation of Air Contaminants” (2024) in Scientific Reports.

“Kinetic Studies on Using Plasmonic Photocatalytic Coatings for Autogenously Improving Indoor Air Quality by Removing Volatile Organic Compounds,” presented at the 28th North American Catalysis Society Meeting.

“Innovative Antifungal Photocatalytic Paint for Improving Indoor Environment” (2023) in Catalysts.

Poster presentation on “Photocatalytic Inhibition of Microorganisms” at the Three Minute Thesis Competition.

“Habitable Home,” presented at Innovation Week at Case Western Reserve University.

“Deciphering Fungal Communication,” presented at the Gordon Research Conference.

Conclusion

Samuel Tosin Ojo embodies the qualities of a pioneering researcher, combining deep theoretical knowledge with practical applications that address real-world challenges. His dedication to sustainable building practices, innovative materials research, and application of machine learning in civil engineering positions him as a forward-thinking leader in his field. With a track record of significant contributions and ongoing commitment to improving environmental standards in civil engineering, Samuel is well-deserving of the Best Researcher Award. His vision for sustainable infrastructure and environmental health continues to inspire and influence those around him, marking him as an impactful figure in the future of civil engineering.

Saloua El Euch Khay | Durable materials | Women Researcher Award

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Prof. Dr. Saloua El Euch Khay | Durable materials | Women Researcher Award 

Professor at National Engineering School of Tunis, Tunisia.

Prof. Dr. Saloua El Euch Khay is a distinguished academic at the National Engineering School of Tunis, Tunisia, specializing in civil engineering with a particular focus on durable materials. Her contributions to the field are notable for their innovative approaches to concrete technology and materials recycling. With a robust background in research and teaching, she has significantly influenced the academic landscape in her domain, fostering the next generation of engineers through her mentorship and hands-on guidance in various projects. Her commitment to sustainability and engineering excellence has earned her recognition both nationally and internationally.

Profile

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Education

Prof. Dr. Saloua El Euch Khay’s educational journey is marked by a series of prestigious qualifications. In 2018, she achieved her Habilitation à Diriger des Recherches (HDR) in Civil Engineering, affirming her capacity to supervise doctoral research. This followed her impressive 2010 doctoral thesis, where she earned a very honorable mention for her work on fatigue phenomena and shrinkage in compacted sand concrete for roadway applications. Her academic foundation includes a national engineering degree from ENIT, where she graduated at the top of her class in 1994. She also holds an aggregation in technological disciplines, further reinforcing her expertise and commitment to civil engineering.

Experience

Prof. Dr. El Euch Khay has extensive teaching experience at ENIT, where she has served as a Maître de Conférences since 2020, sharing her knowledge in courses covering structures, roads, and synthesis projects. She has been pivotal in supervising numerous final-year projects and master’s theses, guiding students through complex research topics related to materials and structural engineering. Her previous role as Maître-Assistant from 2015 to 2020 allowed her to deepen her engagement with students and contribute significantly to innovative research projects, further solidifying her role as a leader in academia. Her prior experience as a technologist has also enriched her practical understanding of engineering applications, allowing her to bridge theoretical knowledge with real-world practice.

Research Interest

Prof. Dr. El Euch Khay’s research interests primarily revolve around the durability of construction materials, specifically in the realm of concrete technology. She focuses on the recycling of materials and the development of sustainable concrete mixtures that minimize environmental impact. Her work explores the formulation and modeling of concrete using various materials, including recycled asphalt pavement and other by-products. This research not only addresses industry challenges but also contributes to the broader discourse on sustainable construction practices. Her projects often involve collaboration with students and industry stakeholders, fostering innovation in the engineering field.

Awards

Prof. Dr. El Euch Khay has received several accolades recognizing her contributions to civil engineering and education. Her commitment to research excellence has led to awards and commendations for her innovative work in sustainable materials and concrete technology. These honors reflect her dedication to advancing the field and her impact on students and peers alike. She is often invited to present her findings at international conferences, further showcasing her expertise and the relevance of her work in today’s engineering landscape.

Publications

Prof. Dr. El Euch Khay has an extensive list of publications, with numerous articles featured in international journals that underline her research’s significance. Key publications include:

S. El Euch Khay, A. Loulizi, Z. Zayen & G. Nammouchi. Experimental and predictive study of self-compacting concrete containing reclaimed asphalt pavement, European Journal of Environmental and Civil Engineering, 2024. DOI: 10.1080/19648189.2024.2357672 (Impact Factor: 2.2)

A. Bousleh & S. El Euch Khay. Shrinkage performance and modelling of concretes incorporating crushed limestone sand with a high content of fillers for pavement slabs, European Journal of Environmental and Civil Engineering, 2023. DOI: 10.1080/19648189.2023.2276128 (Impact Factor: 2.2)

H. Zbidi, S. El Euch Khay. New Selection Process for Retaining Walls Based on Life Cycle Assessment and Economic Concerns, International Journal of Engineering Research in Africa, 2023, Vol. 66, pp 29-44. DOI: 10.4028/p-OVz45X (Impact Factor: 0.9)

H. Zbidi, S. El Euch Khay. Environmental Impact of a Reinforced Geosynthetic Retaining Wall Made of Modular Vegetated Concrete Blocks, International Journal of Scientific Research & Engineering Technology (IJSET), Vol.19, pp. 33-41, 2023. Link

W. Ben Achour, S. El Euch Khay, K. Miled & J. Neji. Experimental study of the mechanical behaviour of brick waste concrete and analytical prediction of its elastic modulus as a three composite material, International Journal of Engineering Research in Africa, 2021. DOI: 10.4028/www.scientific.net/JERA.57.125 (Impact Factor: 0.9)

Conclusion

Prof. Dr. Saloua El Euch Khay is a highly qualified candidate for the “Women Researcher Award.” Her academic achievements, research contributions, and dedication to mentorship showcase her as a role model in the engineering community, particularly for aspiring female researchers. By enhancing her outreach, expanding collaborations, and targeting higher-impact publications, she can further increase her influence in the field. Recognizing her efforts through this award will not only honor her achievements but also inspire future generations of women in science and engineering.