Dorin Maier | Civil Engineering | Best Researcher Award

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

 

Mohammad Ali Heravi | Civil Engineering | Best Researcher Award

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