Nesrine Roumieh | Risk Construction Management | Women Researcher Award

Published on by Civil Engineering Awards

Mrs. Nesrine Roumieh | Risk Construction Management | Women Researcher Award

Project Manager – High-Rise Construction | Aya Congo Construction | Congo, Democratic Republic of the congo

Mrs. Nesrine Roumieh is an accomplished Project Manager and Certified PMP Trainer with over twelve years of expertise in construction, infrastructure, and process optimization. Her research and professional pursuits focus on advancing project and risk management strategies, high-rise construction methods, and agile-based performance enhancement within multidisciplinary environments. Nesrine has led numerous large-scale construction initiatives, integrating risk assessment frameworks, quality assurance, and cost control systems that align with international standards. Her interest extends to improving industrial efficiency and innovation in civil engineering, emphasizing sustainable practices and modern management methodologies. Through her leadership roles, she has contributed to the optimization of resource allocation, stakeholder communication, and schedule performance in high-value projects. As Head of the Civil Research Unit at Tartous Cement Co., Nesrine directed several studies that explored the improvement of construction materials and techniques, collaborating with research institutions to implement practical solutions for infrastructure resilience. In addition to her managerial expertise, she is deeply engaged in academic and professional training, delivering workshops and mentoring professionals in project management, agile systems, and risk analysis across technical institutions. Her certifications from the Project Management Institute, including PMP, PMI-RMP, and PMI-ACP, highlight her commitment to excellence in project governance and continuous professional growth. Nesrine’s research orientation bridges the gap between engineering innovation and strategic project execution, ensuring that theoretical knowledge is translated into measurable industrial outcomes. Her multilingual capabilities further support her international collaborations in engineering and management. Citation 14, h-index 1, i10-index 1.

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Qi Liu | Engineering | Best Researcher Award

Published on by Civil Engineering Awards

Dr Qi Liu | Engineering | Best Researcher Award

Doctor, Harbin Institute ofTechnology, China

Qi Liu is a dedicated student at the Harbin Institute of Technology, specializing in electrical engineering and automation. His research interests lie at the intersection of artificial intelligence and image processing. Liu has made significant contributions to various projects, showcasing his innovative approach to complex engineering challenges. With a strong academic foundation and a passion for technology, he aims to advance the field through research and collaboration.

Profile

ORCID

Strengths for the Award

Qi Liu is a promising researcher at the Harbin Institute of Technology, specializing in electrical engineering and automation. His strong academic background and innovative approach are evident in his contributions to several publications, particularly in the fields of image processing and automation. Liu’s work on advanced algorithms, such as YOLOv5s for spacecraft attitude measurement and techniques for camera calibration, demonstrates his technical proficiency and commitment to pushing the boundaries of technology. His collaborative spirit, evidenced by co-authorship on multiple projects, highlights his ability to work effectively within multidisciplinary teams.

Areas for Improvement

While Liu has made commendable contributions, expanding his visibility in international research forums could enhance his recognition. Engaging more in interdisciplinary collaborations might also open new avenues for innovation and broader impact. Additionally, actively seeking mentorship and participating in workshops could further refine his skills and knowledge base.

Education

Qi Liu began his academic journey at Guangxi University, where he studied mechanical engineering from September 2018 to June 2020. He then continued his education at the Harbin Institute of Technology, focusing on electrical engineering and automation. Liu’s education has equipped him with a robust understanding of both mechanical and electrical systems, laying the groundwork for his current research endeavors in automation and artificial intelligence.

Experience

Currently, Qi Liu is a student at the Harbin Institute of Technology, where he engages in cutting-edge research in electrical engineering and automation. His experience includes collaborative projects that utilize advanced algorithms and machine learning techniques. Liu has co-authored several publications, demonstrating his ability to work effectively within multidisciplinary teams and contribute to the advancement of technology in practical applications.

Awards and Honors

Although specific awards and honors are not detailed, Qi Liu’s academic and research achievements reflect a commitment to excellence in his field. His contributions to research projects and publications indicate recognition by peers and faculty, showcasing his potential as an emerging leader in engineering and technology.

Research Focus

Qi Liu’s research focuses on image processing, machine learning, and automation technologies. His work aims to develop innovative solutions for industrial applications, particularly in object detection and measurement. Liu’s interest in integrating artificial intelligence with traditional engineering practices highlights his commitment to advancing technology and enhancing efficiency in various domains.

Publication Top Notes

  • Attitude Measurement of Ultraclose-Range Spacecraft Based on Improved YOLOv5s and Adaptive Hough Circle Extraction 📈
  • Camera Calibration Based on Lightweight Fan-Shaped Target Detection and Fitness-Distance-Balance Chaotic Marine Predators Algorithm 📷
  • Research on a High-Precision Extraction Method of Industrial Cuboid ⚙️
  • Research on Natural Image Stitching Based on Extended Point-Line Feature 🖼️
  • UAV and a Deep Convolutional Neural Network for Monitoring Invasive Alien Plants in the Wild

Conclusion 

Qi Liu is a strong candidate for the Best Researcher Award due to his impressive academic achievements, innovative research, and collaborative efforts. His dedication to advancing technology in electrical engineering and automation positions him as a future leader in the field. Recognizing Liu with this award would not only acknowledge his hard work but also encourage his continued growth and contributions to the scientific community.