Abbass Walid | Surface Topography | Young Scientist Award

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Mr. Abbass Walid | Surface Topography | Young Scientist Award

Abbass Walid is a highly driven and committed HSE Engineer/Manager with extensive expertise in industrial, production, process, and quality assurance engineering. With a strong foundation in ISO standards, regulatory frameworks, and industrial operations, he is passionate about optimizing production efficiency, product quality, and energy consumption. His professional journey includes significant roles at Union Copper Rod L.L.C, where he successfully led production optimization projects, and currently serves as a Construction Safety Engineer at Saleh Constructions L.L.C. In addition to his operational accomplishments, he has contributed academically with a publication in the Journal of Metrology MDPI, reflecting his strong inclination toward scientific research and innovation in functional surface characterization. Proficient in multiple industrial software systems like SAP, ERP, and MES, and knowledgeable in SCADA and DCS systems, Abbass demonstrates a unique blend of technical acumen and hands-on leadership. He holds a Bachelor’s degree in Industrial Engineering and Management from IU International University of Applied Sciences, Germany.

Profile

🎓 Education

Abbass Walid earned his Bachelor of Industrial Engineering and Management (B.Eng.) from IU International University of Applied Sciences, Erfurt, Germany, achieving a commendable academic grade of over 75% (German grade 2.5). His degree is fully recognized by the State of Thuringia, attested in the UAE, and certified by the German Embassy in Dubai. Beyond his formal education, Abbass has pursued numerous occupational certifications to enhance his professional expertise. These include Energy Management Lead Implementor (ISO 50001:2018), IMS Internal Auditor Training (ISO 9001:2015, ISO 45001:2018, ISO 14001:2015), and specialized training in emergency response, civil defense firefighting, and first aid. These additional certifications have equipped him with extensive knowledge in energy management systems, quality management, health and safety, and emergency preparedness—critical areas for modern industrial operations. His commitment to continuous learning reflects his passion for excellence in safety, efficiency, and sustainability.

🧪 Experience

Abbass Walid brings a wealth of practical experience in industrial, manufacturing, and safety engineering. Currently, he serves as a Construction Safety Engineer at Saleh Constructions L.L.C (since May 2025), where he designs section plans, identifies process bottlenecks, and develops comprehensive risk management programs. Prior to this, from 2018 to 2024, he held a pivotal role as Production Engineer at Union Copper Rod L.L.C, managing production lines for copper rods, coordinating raw material usage, overseeing quality control, and driving efficiency improvements. His innovative adjustments to equipment design, such as optimizing air knives and shaft melting furnace operations, significantly enhanced product quality and energy efficiency. He also led energy management certification projects aligning with ISO 50001:2018 and performed extensive energy audits to reduce operational costs. His deep involvement in shutdown, maintenance, and optimization projects showcases his versatile engineering capabilities and leadership in complex industrial environments.

🏅 Awards and Honors

While Abbass Walid’s formal list of awards is still developing, his professional accomplishments reflect industry-wide recognition of his abilities. His innovative contributions, such as successfully designing and implementing modifications to production equipment that improved energy efficiency and product quality, have been well acknowledged within his organizations. His leadership in securing ISO 50001:2018 certification single-handedly at Union Copper Rod L.L.C demonstrates his exceptional competence in energy management systems. His publication in Journal of Metrology MDPI highlights his academic contributions and thought leadership in functional surface characterization. Furthermore, his numerous third-party certifications from leading organizations such as Bureau Veritas and Highfield demonstrate his recognized expertise in energy management, occupational safety, emergency response, and quality systems auditing. These certifications not only validate his technical proficiency but also reflect his commitment to maintaining the highest standards of professional excellence in the field of industrial and safety engineering.

🔬 Research Focus

Abbass Walid’s research interests are rooted in industrial process optimization, functional surface characterization, and energy management. His publication in Journal of Metrology MDPI addresses the evolving methodologies in scientific functional characterization of surface topography, providing a comprehensive review of measurement principles and evaluation strategies used to assess functional surfaces. This work emphasizes the growing importance of optical measurement technologies and the untapped potential for applying function-oriented parameters in industrial settings. In his professional capacity, Abbass has focused extensively on optimizing manufacturing processes to achieve consistent product quality while minimizing energy and material consumption. His energy audits and ISO 50001:2018 certification efforts further reflect his focus on sustainability and operational efficiency. By integrating practical industrial knowledge with scientific research, Abbass aims to bridge the gap between academic advancements and real-world applications in industrial manufacturing and safety systems.

✅ Conclusion

Abbass Walid exemplifies a rare blend of scientific insight and industrial expertise, driving operational excellence, energy efficiency, and safety standards while contributing to academic research and continually advancing his professional qualifications.

Publications

  • Common Practices and Methodologies in Scientific Functional Characterization of Surface Topography

    Metrology
    2025-06-05 | Journal article
    DOI: 10.3390/metrology5020033
    CONTRIBUTORS: Abbass Walid; Matthias Eifler

Elyas Rostami | Mechanical Engineering | Best Researcher Award

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Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering 🚀. With a solid academic background, he earned his B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD 🎓 at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles 📄, books 📚, and research projects 🔍 to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization 💧, fluid mechanics 🌊, and sustainable energy applications ⚡. As a dedicated educator 👨‍🏫 and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🤝, publishing, and mentoring.

Profile

Education 🎓

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering 🚀 from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems 🔥, and energy-efficient solutions 💡. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems 🔧. Through rigorous coursework, experimental research, and publications 📝, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠💪, enabling him to address modern aerospace challenges with innovative thinking 🚀.

Experience 👨‍🏫

Dr. Elyas Rostami serves as a faculty member 👨‍🏫 at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering 🚀. His career spans academic teaching 📖, research leadership 🔬, article peer reviewing 🧐, and supervising research projects 🔍. He has authored multiple scientific papers 📝 and books 📚, advancing the field of propulsion systems, spray technology 💧, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🤝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator 🎓⚙️. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions 🏅

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction 🎖️. His scholarly contributions earned him recognition through research publications in reputable journals 🏅, invitations to review articles 🧐, and participation in collaborative research projects 🤝. He has authored a scientific book 📘 and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion 🔥 and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement 💡🔬.

Research Interests 🔬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems 🚀, spray and atomization processes 💧, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems 🔥, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches 🖥️ to explore new energy solutions and optimize spray behavior under different conditions ⚙️. Through research projects 🔬, journal articles 📄, and book authorship 📚, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation 💡, making significant strides in the development of sustainable and high-performance propulsion technologies 🌍🚀.

Publications 

Lichen Shi | Mechanical Engineering | Best Researcher Award

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Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) ：25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929