Mahmoud Ghazavi | Geotechnical Engineering | Scientific Excellence Achievement Award

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Prof. Mahmoud Ghazavi | Geotechnical Engineering | Scientific Excellence Achievement Award

Geotechnical Engineering at K N Toosi University of Technology, Iran

Prof. Mahmoud Ghazavi is an esteemed academic and researcher in the fields of engineering, renewable energy, and environmental sciences. With a strong commitment to advancing sustainable practices in these disciplines, he has contributed to various projects focusing on energy efficiency, environmental management, and the development of innovative energy solutions. His work bridges the gap between theory and practical applications in the energy sector, with a focus on reducing the environmental impact of industrial practices. Prof. Ghazavi’s contributions have earned him recognition as a leader in his field, both nationally and internationally. He holds several influential positions in academic and research organizations, where he continues to mentor the next generation of engineers and researchers.

Professional Profile

Education

Prof. Mahmoud Ghazavi completed his undergraduate studies in a field related to engineering, followed by a master’s and doctoral degree in renewable energy and environmental sciences. He earned his PhD in Energy Engineering from a renowned institution, where his dissertation focused on advanced methods in energy generation and environmental sustainability. His academic journey was guided by a deep commitment to understanding the science behind energy systems and their impact on the environment, a passion that continues to drive his research and teaching.

Professional Experience

Prof. Ghazavi has extensive professional experience in both academia and industry. He has served as a professor at several prestigious universities, teaching a range of courses in energy engineering, renewable energy technologies, and environmental management. Additionally, he has worked with international organizations, consulting on energy policy development and sustainability projects. His roles have included leadership in several research initiatives, where he directed teams to develop cutting-edge solutions for energy conservation and efficiency. Prof. Ghazavi has collaborated on multiple international research projects aimed at innovating energy systems and improving environmental quality.

Research Interests

Prof. Ghazavi’s research interests are rooted in renewable energy technologies, energy efficiency, environmental sustainability, and the integration of green practices in industrial processes. His work focuses on developing cleaner, more efficient methods of energy production, such as solar, wind, and bioenergy, while also addressing the environmental challenges posed by conventional energy systems. Additionally, Prof. Ghazavi explores the intersection of engineering and policy, striving to create frameworks that promote sustainability in energy use across sectors. His research is particularly focused on the optimization of energy systems and minimizing their environmental impact.

Research Skills

Prof. Ghazavi is highly skilled in energy system modeling, renewable energy technologies, and environmental impact analysis. He is proficient in using advanced simulation tools for energy system optimization and has extensive experience with energy management software. His research also involves the analysis of energy policies, assessing their effectiveness in promoting sustainable practices. Prof. Ghazavi has a deep understanding of energy production, distribution, and storage systems, and he is adept at employing data-driven approaches to develop solutions that balance energy demand with environmental concerns. His interdisciplinary skills span across engineering, environmental science, and policy analysis.

Awards and Honors

Throughout his career, Prof. Ghazavi has received numerous awards and honors in recognition of his groundbreaking research and contributions to the field of renewable energy and environmental sustainability. These accolades include recognition from national and international scientific bodies, as well as prestigious awards for innovation in energy technology and sustainability practices. Prof. Ghazavi’s work has earned him leadership positions in professional organizations, further cementing his reputation as a thought leader in energy engineering and environmental research.

Conclusion

In conclusion, Prof. Mahmoud Ghazavi is a distinguished academician and researcher whose work continues to shape the future of renewable energy and sustainable environmental practices. His academic background, coupled with his extensive professional experience, makes him a key figure in the field of energy engineering. His research has not only advanced scientific understanding but also contributed practical solutions to global energy challenges. Prof. Ghazavi remains dedicated to fostering innovation in energy systems and promoting environmental sustainability, and his contributions will continue to influence the field for years to come.

Publication Top Notes

  • Title: The influence of freeze–thaw cycles on the unconfined compressive strength of fiber-reinforced clay
    • Authors: M. Ghazavi, M. Roustaie
    • Journal: Cold Regions Science and Technology
    • Volume: 61 (2-3)
    • Pages: 125-131
    • Citations: 293
    • Year: 2010
  • Title: Bearing capacity of geosynthetic encased stone columns
    • Authors: M. Ghazavi, J. N. Afshar
    • Journal: Geotextiles and Geomembranes
    • Volume: 38
    • Pages: 26-36
    • Citations: 288
    • Year: 2013
  • Title: Interference effect of shallow foundations constructed on sand reinforced with geosynthetics
    • Authors: M. Ghazavi, A. A. Lavasan
    • Journal: Geotextiles and Geomembranes
    • Volume: 26 (5)
    • Pages: 404-415
    • Citations: 223
    • Year: 2008
  • Title: Influence of optimized tire shreds on shear strength parameters of sand
    • Authors: M. Ghazavi, M. A. Sakhi
    • Journal: International Journal of Geomechanics
    • Volume: 5 (1)
    • Pages: 58-65
    • Citations: 207
    • Year: 2005
  • Title: Shear strength characteristics of sand-mixed with granular rubber
    • Author: M. Ghazavi
    • Journal: Geotechnical & Geological Engineering
    • Volume: 22
    • Pages: 401-416
    • Citations: 196
    • Year: 2004
  • Title: Numerical study on stability analysis of geocell reinforced slopes by considering the bending effect
    • Authors: I. Mehdipour, M. Ghazavi, R. Z. Moayed
    • Journal: Geotextiles and Geomembranes
    • Volume: 37
    • Pages: 23-34
    • Citations: 158
    • Year: 2013
  • Title: Behavior of closely spaced square and circular footings on reinforced sand
    • Authors: A. A. Lavasan, M. Ghazavi
    • Journal: Soils and Foundations
    • Volume: 52 (1)
    • Pages: 160-167
    • Citations: 132
    • Year: 2012
  • Title: Effects of freeze–thaw cycles on a fiber reinforced fine grained soil in relation to geotechnical parameters
    • Authors: M. Roustaei, A. Eslami, M. Ghazavi
    • Journal: Cold Regions Science and Technology
    • Volume: 120
    • Pages: 127-137
    • Citations: 121
    • Year: 2015
  • Title: Freeze–thaw performance of clayey soil reinforced with geotextile layer
    • Authors: M. Ghazavi, M. Roustaei
    • Journal: Cold Regions Science and Technology
    • Volume: 89
    • Pages: 22-29
    • Citations: 117
    • Year: 2013
  • Title: Influence of nano-SiO2 on geotechnical properties of fine soils subjected to freeze-thaw cycles
    • Authors: A. Kalhor, M. Ghazavi, M. Roustaei, S. M. Mirhosseini
    • Journal: Cold Regions Science and Technology
    • Volume: 161
    • Pages: 129-136
    • Citations: 99
    • Year: 2019

 

Dorin Maier | Civil Engineering | Best Researcher Award

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Dr. Dorin Maier | Civil Engineering | Best Researcher Award

Senior Lecturer at Technical University of Cluj – Napoca, Romania

Dorin Maier is a Senior Lecturer at the Technical University of Cluj-Napoca, Romania, with a dual expertise in civil engineering and economics. His work spans across construction engineering, sustainable building materials, and quality management systems, with a notable focus on innovation in the construction industry. Maier’s career is marked by a strong academic foundation and a dedication to research and education, with significant contributions to sustainable building practices. His interdisciplinary approach combines technical expertise with managerial insights, making him a versatile researcher and educator.

Professional Profile

Education:

Dorin Maier holds a diverse and distinguished academic background. He earned two PhDs—one in Civil Engineering from the Technical University of Cluj-Napoca and the other in Economy from the Bucharest Academy of Economic Studies, both with high honors. His education further includes a Master’s degree in Management of Trade, Tourism, and Services Enterprises from “Stefan cel Mare” University, Suceava, Romania, and a Bachelor’s degree in Forestry Engineering from the same institution. Additionally, he has completed various professional development programs, including certifications in quality auditing and management systems. Maier’s academic achievements demonstrate a strong commitment to both theoretical and applied knowledge.

Professional Experience:

Maier has a rich professional trajectory, currently serving as a Senior Lecturer at the Technical University of Cluj-Napoca since 2014. Before this, he worked as an Associate Teacher and PhD student at the same institution. Maier’s teaching experience is complemented by his leadership in several research projects, focusing on sustainable building materials and quality management systems. Additionally, he has managed various projects related to pandemic response and entrepreneurship development. His roles have also included contributing to national standards and policy development in the construction sector, showcasing his leadership and management skills.

Research Interests:

Maier’s primary research interests lie in civil engineering, with a focus on sustainable building practices, innovative construction materials, and the integration of environmental and safety standards in construction management. His work investigates lightweight roofs, wood-based building materials, and the role of innovation in enhancing construction quality. His interdisciplinary approach also integrates aspects of economics and management systems, particularly in relation to business globalization and innovation management. Maier is passionate about developing solutions to address climate change within the construction industry and advancing sustainable construction practices through innovative technologies.

Research Skills:

Dorin Maier is proficient in a range of research methodologies and tools. He has expertise in AutoCAD design, SketchUp, MathCAD, and VOSviewer, which supports his ability to conduct in-depth analysis and create innovative solutions in construction engineering. His research skills are further strengthened by his experience in managing and coordinating complex research projects, both domestically and internationally. Maier’s ability to collaborate with researchers from diverse fields enables him to integrate interdisciplinary approaches into his work, while his extensive publication record demonstrates his capacity for producing high-quality, impactful research.

Awards and Honors:

Dorin Maier has received several accolades for his research and contributions to the field of civil engineering. Notably, he earned his PhD degrees magna cum laude, underscoring his academic excellence. His work has been widely recognized in the academic community, with over 85 scientific papers published, including articles in high-ranking journals indexed by Web of Science. Maier’s research contributions have also led to patent applications for innovative construction designs, demonstrating his role as a leading innovator in the field. His citation index and participation in prestigious competitions, like the Holcim Awards, further validate his significant impact on the construction and engineering sectors.

Conclusion

Dorin Maier is highly deserving of consideration for the Best Researcher Award due to his substantial contributions to civil engineering research, his leadership in managing and coordinating interdisciplinary projects, and his strong academic credentials. His publications and patents further support his candidacy. However, opportunities exist to increase his international research collaborations and enhance the practical applications of his innovations. These areas of improvement, once addressed, could elevate his profile even further on the global research stage.

Publication Top Notes

  • “The relationship between innovation and sustainability: A bibliometric review of the literature”
    • Authors: D Maier, A Maier, I Așchilean, L Anastasiu, O Gavriș
    • Year: 2020
    • Citations: 171
  • “Establishing the basis for development of an organization by adopting the integrated management systems: comparative study of various models and concepts of integration”
    • Authors: M Olaru, D Maier, D Nicoară, A Maier
    • Year: 2014
    • Citations: 116
  • “Innovation by developing human resources, ensuring the competitiveness and success of the organization”
    • Authors: A Maier, S Brad, D Nicoară, D Maier
    • Year: 2014
    • Citations: 91
  • “Innovation as a part of an existing integrated management system”
    • Authors: D Maier, AM Vadastreanu, T Keppler, T Eidenmuller, A Maier
    • Year: 2015
    • Citations: 86
  • “Is human capital ready for change? A strategic approach adapting Porter’s five forces to human resources”
    • Authors: L Anastasiu, O Gavriș, D Maier
    • Year: 2020
    • Citations: 54
  • “Product and process innovation: a new perspective on the organizational development”
    • Authors: D Maier
    • Year: 2018
    • Citations: 53
  • “Development and operationalization of a model of innovation management system as part of an integrated quality-environment-safety system”
    • Authors: D Maier, I Sven-Joachim, A Fortmuller, A Maier
    • Year: 2017
    • Citations: 40
  • “Perspective of using green walls to achieve better energy efficiency levels. A bibliometric review of the literature”
    • Authors: D Maier
    • Year: 2022
    • Citations: 32
  • “Business Success by Understanding the Process of Innovation”
    • Authors: D Maier, M Olaru, G Weber, A Maier
    • Year: 2014
    • Citations: 31
  • “Is the success possible in compliance with ethics and deontology in business?”
    • Authors: AM Vadastreanu, D Maier, A Maier
    • Year: 2015
    • Citations: 29

 

Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

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Mr. Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

Assoc. Prof. Dr at Dicle University Department of Civil Engineering, Turkey.

Gultekin Aktas is a distinguished researcher in civil engineering, specializing in structural dynamics and concrete behavior. He holds a PhD in Civil Engineering from Dicle University and has made significant contributions through innovative research on topics such as fresh concrete behavior under vibration, prediction models using artificial neural networks, and mold design for precast concrete elements. Aktas’s work is published in reputable journals like Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, showcasing his technical expertise and diverse methodologies. His research employs advanced computational techniques and experimental validations, reflecting a high level of proficiency. Despite his robust contributions, expanding his focus to include interdisciplinary approaches and increasing collaborative efforts could further enhance his impact. Overall, Aktas’s innovative research and technical skills make him a notable candidate for the Research for Best Researcher Award.

Profile

Education

Gultekin Aktas is a distinguished academic with extensive expertise in civil engineering. He completed his PhD at Dicle University, Diyarbakir, Turkey, where he has been associated with the Engineering Faculty since 1995. His educational background in civil engineering has provided him with a solid foundation in structural analysis, computational methods, and practical applications. During his doctoral studies, Aktas focused on advanced topics in structural dynamics and computational modeling, which have significantly influenced his subsequent research. His work integrates theoretical insights with practical challenges, reflecting his deep understanding of both fundamental concepts and real-world engineering issues. Aktas’s ongoing affiliation with Dicle University highlights his commitment to academic excellence and his role in advancing civil engineering knowledge through both teaching and research.

Professional Experience

Dr. Gultekin Aktas is a distinguished academic in civil engineering, holding a position at the Engineering Faculty of Dicle University in Diyarbakir, Turkey, since 1995. His extensive professional experience encompasses a broad range of research and teaching roles. Aktas has focused on innovative areas such as the behavior of fresh concrete under vibration, finite grid solutions for circular plates, and computer-aided design algorithms for precast concrete elements. His research has been published in leading journals, including Structural Engineering and Mechanics and KSCE Journal of Civil Engineering. Aktas’s expertise lies in employing advanced computational methods and theoretical models to address complex engineering problems, reflecting his commitment to both practical and theoretical advancements in structural engineering. His contributions to the field are marked by a strong emphasis on experimental validation and computational analysis, highlighting his significant role in advancing civil engineering research and education.

Research Skills

Gultekin Aktas possesses a diverse set of research skills that underline his expertise in civil engineering. His proficiency in utilizing advanced computational techniques is evident from his work with mass-spring models, artificial neural networks, and finite grid solutions, which he employs to analyze and predict the behavior of structural elements under various conditions. Aktas demonstrates strong technical abilities in developing and validating algorithms for concrete element design and structural dynamic analysis. His research often involves a blend of theoretical modeling and experimental validation, showcasing his capacity to integrate different methodologies to address complex engineering problems. Additionally, his capability to produce high-quality, peer-reviewed publications reflects his thorough understanding of structural engineering principles and computational methods. Aktas’s adeptness at applying both theoretical and practical approaches underscores his comprehensive skill set and contributes significantly to advancements in civil engineering research.

Award and Recognition

Gultekin Aktas has earned notable recognition for his contributions to civil engineering, particularly in the fields of structural dynamics and concrete behavior. His innovative research has been published in leading journals such as Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, underscoring his impact on the field. Aktas’s work, including his studies on the behavior of fresh concrete under vibration and finite grid solutions for circular plates, has significantly advanced understanding and practical applications in structural engineering. Although specific awards or formal recognitions are not listed, his high-quality publications and influential research demonstrate a strong reputation among peers. Aktas’s contributions reflect his dedication to advancing engineering knowledge and solving complex problems, solidifying his standing as a respected researcher in his domain.

Conclusion

Gultekin Aktas is a strong candidate for the Research for Best Researcher Award. His diverse and innovative research contributions to civil engineering, coupled with his technical proficiency and publication record, demonstrate his significant impact in his field. While there are opportunities to broaden his research focus and enhance his collaborative efforts, Aktas’s accomplishments highlight his potential as a leading researcher. His continuous engagement in cutting-edge research and publication makes him a deserving candidate for this prestigious award.

Publications Top Notes

  1. Examination of Precast Concrete Movement Subjected to Vibration Employing Mass-Spring Model with Two Convective Masses
    • Authors: Aktas, G.
    • Journal: Shock and Vibration
    • Year: 2024
    • Citations: 0
  2. Displacement prediction of precast concrete under vibration using artificial neural networks
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2020
    • Volume: 74(4), pp. 559–565
    • Citations: 3
  3. Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 60(4), pp. 655–665
    • Citations: 11
  4. Investigation of fresh concrete behavior under vibration using mass-spring model
    • Authors: Aktas, G.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 57(3), pp. 425–439
    • Citations: 4
  5. A finite grid solution for circular plates on elastic foundations
    • Authors: Karaşin, H., Gülkan, P., Aktas, G.
    • Journal: KSCE Journal of Civil Engineering
    • Year: 2015
    • Volume: 19(4), pp. 1157–1163
    • Citations: 9
  6. Experimental confirmation for the validity of Ritz method in structural dynamic analysis
    • Authors: Aktas, G., Karasin, A.
    • Journal: Journal of Theoretical and Applied Mechanics (Poland)
    • Year: 2014
    • Volume: 52(4), pp. 981–993
    • Citations: 4
  7. Computer-aided mold design algorithm for precast concrete elements
    • Authors: Aktas, G., Tanrikulu, A.K., Baran, T.
    • Journal: ACI Materials Journal
    • Year: 2014
    • Volume: 111(1), pp. 77–87
    • Citations: 7

 

Mohammad Ali Heravi | Civil Engineering | Best Researcher Award

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Mr. Mohammad Ali Heravi | Civil Engineering | Best Researcher Award

PhD. Student at Semnan University, Iran

Mr. Mohammadali Heravi is a dedicated and ambitious Ph.D. candidate ing Civil Engineerin at Semnan University, Iran. With a strong academic foundation, he has developed expertise in structural health monitoring, particularly through the application of deep learning and artificial intelligence. His doctoral research is focused on developing innovative unsupervised deep learning methods to advance structural health monitoring systems. Mr. Heravi also holds an M.Sc. in Civil Engineering from Shahrood University of Technology, where he explored structural damage detection using empirical mode decomposition and statistical pattern recognition. His academic journey began with a B.Sc. in Civil Engineering from Azad University of Mashhad. Currently, he is furthering his research as a Ph.D. researcher at Western University of Ontario, Canada, where he is working on zero-shot transfer learning approaches for structural health monitoring. Mr. Heravi is passionate about contributing to the field of civil engineering through innovative research and collaboration with leading experts.

Profile

Education

Mr. Mohammadali Heravi is currently pursuing a Ph.D. in Civil Engineering at Semnan University, Iran, where he has maintained an impressive GPA of 18.49/20. His doctoral research focuses on developing novel unsupervised deep learning approaches for structural health monitoring. Prior to this, he earned his M.Sc. in Civil Engineering from Shahrood University of Technology, Iran, between 2017 and 2020, with a GPA of 18.03/20. His master’s thesis centered on structural damage detection using improved empirical mode decomposition and statistical pattern recognition. He began his academic journey with a B.Sc. in Civil Engineering from Azad University of Mashhad, Iran, where he graduated in 2016 with a GPA of 15.50/20. Throughout his academic career, Mr. Heravi has demonstrated a strong commitment to advancing his knowledge and expertise in civil engineering, particularly in the areas of structural health monitoring and artificial intelligence.

Professional Experience

Mr. Mohammadali Heravi has amassed significant professional experience in the field of civil engineering, with a focus on structural health monitoring and the application of artificial intelligence. He is currently a Ph.D. researcher in Civil and Environmental Engineering at Western University of Ontario, Canada, where he is developing novel zero-shot transfer learning approaches for structural health monitoring. His research builds on his earlier work as a Ph.D. candidate at Semnan University, Iran, where he began his exploration of unsupervised deep learning techniques in structural health monitoring. Additionally, Mr. Heravi’s experience includes his role as a researcher during his M.Sc. at Shahrood University of Technology, where he specialized in structural damage detection using advanced statistical methods. His professional journey is characterized by a deep commitment to advancing the field of civil engineering through innovative research and practical applications.

Research Interests

Mr. Mohammadali Heravi’s research interests are deeply rooted in the field of civil engineering, with a particular focus on Structural Health Monitoring (SHM) through vibration and vision-based methods. He is keenly interested in Structural Vibration Control and the innovative application of Artificial Intelligence (AI) in engineering structures, especially through Machine Learning, Deep Learning, and Data Mining techniques. His work also extends to Reliability and Numerical Analysis, where he explores the robustness and safety of engineering designs. Additionally, Mr. Heravi is engaged in Image and Signal Processing, utilizing these technologies to enhance the accuracy and efficiency of structural assessments. His research aims to integrate cutting-edge AI methodologies with traditional engineering practices to address complex challenges in the field.

Research Skills

Mr. Mohammadali Heravi possesses a diverse set of technical and professional skills that support his research in civil engineering. He is proficient in programming languages such as Python, with four years of experience, and MATLAB, with six years of expertise. His skills extend to Machine Learning and Deep Learning frameworks, including PyTorch, TensorFlow, and Scikit-Learn, which he applies in his research on structural health monitoring and artificial intelligence. Additionally, Mr. Heravi is well-versed in engineering software like ETABS and SAP2000, crucial for structural analysis and design. He also has experience with various Python libraries, including Numpy, OpenCV, and Pandas, which aid in data manipulation and image processing. Beyond his technical capabilities, Mr. Heravi excels in non-programming software such as Microsoft Office, Photoshop, and Adobe Premiere, which enhance his ability to present research findings and manage projects effectively. His skill set reflects a well-rounded expertise in both the theoretical and practical aspects of civil engineering and artificial intelligence.

Conclusion

Mr. Mohammadali Heravi’s strong academic background, extensive research experience, technical skills, and dedication to advancing civil engineering make him an exemplary candidate for the Best Researcher Award. His contributions to structural health monitoring, particularly through innovative AI applications, highlight his potential to significantly impact the field.

Publications Top Notes

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

  • Authors: H. Naderpour, M. Sharei, P. Fakharian, M.A. Heravi
  • Journal: Journal of Soft Computing in Civil Engineering
  • Volume: 6 (1), 66-87
  • Cited By: 30
  • Year: 2022

Structural Health Monitoring by Probability Density Function of Autoregressive-Based Damage Features and Fast Distance Correlation Method

  • Authors: M.A. Heravi, S.M. Tavakkoli, A. Entezami
  • Journal: Journal of Vibration and Control
  • Volume: 28 (19-20), 2786-2802
  • Cited By: 10
  • Year: 2022

Transferring Damage Detection Knowledge Across Rotating Machines and Framed Structures: Harnessing Domain Adaptation and Contrastive Learning

  • Authors: R. Soleimani-Babakamali, M.H. Soleimani-Babakamali, M.A. Heravi, et al.
  • Journal: Mechanical Systems and Signal Processing
  • Volume: 221, 111743
  • Year: 2024

Deep Ensemble Learning for Rapid Large-Scale Post-Earthquake Damage Assessment—Application to 2023 Kahramanmaraş Earthquake Sequence

  • Authors: M.H. Soleimani-Babakamali, M. Askari, M.A. Heravi, R. Sisman, N. Attarchian, et al.
  • Year: 2023