Dr Mansour Nasrallah Abd EL-Salam | Mechanical Properties of Materials | Best Researcher Award

Dr Mansour Nasrallah Abd EL-Salam | Mechanical Properties of Materials | Best Researcher Award

Dr. Mansour Nasrallah Abd EL-Salam is a lecturer in mathematics at the Higher Technological Institute, Egypt ๐Ÿ“˜๐ŸŽ“. He holds a Ph.D. in Differential Equations (2021) and an M.Sc. in Fluid Mechanics (2015) from Zagazig University ๐Ÿง ๐Ÿ”ข. His research focuses on nonlinear dynamical systems, vibration control, and oscillator models for engineering structures ๐Ÿ”ง๐ŸŒ€. With 10+ journal publications and expertise in control theory and computational modeling, he contributes to innovations in civil and mechanical systems. He is also a skilled educator and active in academic development, training, and collaborative research ๐Ÿ’ก๐Ÿ‘จโ€๐Ÿซ๐Ÿ“Š.

Dr Mansour Nasrallah Abd EL-Salam, Higher Technological Institute, Egypt

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๐ŸŽ“ Education

Dr. Mansour holds a strong academic foundation in mathematics ๐Ÿ“˜๐Ÿ”ข. He earned his Ph.D. in Pure Mathematics (Differential Equations) in 2021 from Zagazig University, Egypt ๐ŸŽ“๐Ÿง , with a thesis focused on controlling vibrations in nonlinear dynamical systems. His M.Sc. in Applied Mathematics (Fluid Mechanics) was awarded in 2015, where he studied vibration control under multi-force dynamics ๐ŸŒŠโš™๏ธ. He also holds a B.Sc. in Mathematics with distinction (Very Good) from the same institution, awarded in 2006 ๐Ÿงฎ๐Ÿ…. His academic training reflects a blend of theoretical precision and engineering application excellence.

๐Ÿง‘โ€๐Ÿซ Experienceย 

Dr. Mansour has over 15 years of teaching experience at the Higher Technological Institute, Tenth of Ramadan City, Egypt ๐ŸŽ“๐Ÿ‡ช๐Ÿ‡ฌ. He began as a Demonstrator (2009โ€“2016), advanced to Assistant Lecturer (2016โ€“2021), and is currently serving as a Lecturer (2021โ€“Present) ๐Ÿง‘โ€๐Ÿซ๐Ÿ“˜. He has taught a wide range of core mathematics courses including Differential Equations, Numerical Methods, Advanced Calculus, and Statistical Analysis ๐Ÿ“๐Ÿ“Š๐Ÿงฎ. His teaching blends theory and computation, equipping students with analytical and problem-solving skills vital for engineering and applied sciences โš™๏ธ๐Ÿ”๐Ÿ“.

๐Ÿง‘โ€๐Ÿ’ป Certificationsย 

Dr. Mansour has completed multiple professional certifications enhancing his academic, research, and digital competencies ๐Ÿง ๐Ÿ“š. His training includes teaching strategies, student evaluation, and course design through NAQAAE (2021) ๐Ÿซ๐Ÿ“ˆ. He also completed the TOEFL Review Course and workshops on research promotion, plagiarism prevention, and scientific database management hosted by Elsevier and Zagazig University ๐Ÿ”๐Ÿง‘โ€๐Ÿ’ป. Skilled in tools like Microsoft Office, LaTeX, and SPSS, he effectively integrates technology into education and research ๐Ÿ’ป๐Ÿ“Š. These certifications reflect his commitment to excellence in both pedagogy and scholarly integrity.

๐Ÿ” Research Focusย 

Dr. Mansourโ€™s research is centered on the modeling and control of nonlinear dynamical systems ๐ŸŒ€๐Ÿ”ง. He specializes in vibration suppression techniques for complex systems such as Rayleighโ€“Van der Polโ€“Duffing oscillators, suspended cables, and cantilever beams using advanced controllers like negative velocity feedback, positive position feedback, PD controllers, and nonlinear saturation methods โš™๏ธ๐Ÿ“‰. His work targets real-world engineering applications including mechanical and structural systems, enhancing performance, stability, and resilience under external excitation ๐Ÿ’ก๐Ÿ—๏ธ. His studies contribute significantly to modern control theory, stability analysis, and applied mathematics for engineering innovation ๐Ÿ”๐Ÿ“Š.

๐Ÿ“š Publications

Effect of Negative Velocity Feedback Control on the Vibration of a Nonlinear Dynamical System
Journal: International Journal of Dynamics and Control (2023)

Negative Derivative Feedback Controller for Repressing Vibrations of the Hybrid Rayleighโˆ’Van der Polโˆ’Duffing Oscillator
Journal: Nonlinear Phenomena in Complex Systems (2022)

On Controlling of Vibrations of a Suspended Cable via Positive Position Feedback Controller
Journal: International Journal of Dynamics and Control (2022)

A Suitable Active Control for Suppression the Vibrations of a Cantilever Beam
Journal: Sound and Vibration (2022)

Behavior of a Hybrid Rayleighโ€“Van der Polโ€“Duffing Oscillator with a PD Controller
Journal: Journal of Applied Research and Technology (2022)

Prof Chunlai Wang | Mechanical Properties of Materials | Best Researcher Award

Prof Chunlai Wang | Mechanical Properties of Materials | Best Researcher Award

Prof. Chunlaiโ€ฏWang is a renowned expert in rock mechanics and mining engineering at the China University of Mining & Technology, Beijing โ›๏ธ๐Ÿซ. He serves as Associate Director of the National Engineering Laboratory for efficient indium and tin resource use. A Ph.D. supervisor and recipient of the National Youth Science and Technology Award, he specializes in rockburst mechanisms, microseismic monitoring, and landslide prediction ๐Ÿ“ก๐Ÿชจ. His achievements include over 80 academic papers (45+ SCI), three books (one Springer monograph), and eight national invention patents ๐Ÿ’ก๐Ÿ“š. A former visiting scholar at UBC, Prof. Wang advances safe and intelligent mining technologies ๐ŸŒ๐Ÿ”ฌ.

Prof Chunlai Wang, China University of Mining and Technology-Beijing, China

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๐ŸŽ“ Educationย 

Prof. Chunlai Wang earned his Ph.D. in Geological Engineering from the University of Science & Technology Beijing (2007โ€“2011) ๐ŸŽ“๐Ÿงฑ. His doctoral research focused on advanced rock mechanics and mining safety, laying a strong academic foundation for his career in geotechnical engineering and hazard prediction. Prior to his Ph.D., he pursued rigorous training in geological sciences and engineering principles, which equipped him with the analytical and technical expertise to address complex mining and seismic challenges ๐Ÿชจ๐Ÿ“Š. His academic path has been marked by excellence, innovation, and a commitment to solving real-world problems in earth science and engineering ๐ŸŒ๐Ÿ”ฌ.

๐Ÿซ Experience

Prof. Chunlai Wang has been serving at the China University of Mining and Technology, Beijing since 2011 ๐Ÿซ๐Ÿ‡จ๐Ÿ‡ณ, where he holds the role of Deputy Director of the Department of Resources Engineering and is an esteemed Ph.D. Professor in rock mechanics, rockburst control, and microseismic monitoring ๐Ÿชจ๐Ÿ“ก๐Ÿ’ฅ. As part of the School of Energy and Mining Engineering, he leads research and teaching in advanced geotechnical systems, underground hazard prevention, and intelligent mining technologies โš™๏ธโ›๏ธ๐Ÿง . His position combines academic leadership, research excellence, and national-level project coordination, making him a pillar in Chinaโ€™s mining safety innovation landscape.

๐Ÿ† Honors and Achievements

Prof. Chunlai Wang has been honored with 7 major national and ministerial-level science and technology awards ๐Ÿ†๐ŸŽ“, including the Second Prize of the State Scientific and Technological Progress Award (2010) for innovations in joint open-pit and underground mining. He has received multiple second prizes from the China Coal Industry Association and China Nonferrous Metals Industry Association for breakthroughs in deep soft rock support, zero-waste tailing technologies, and mechanized mining โš™๏ธโ›๏ธ. His special award from the China Gold Association underscores leadership in gold mining engineering. These accolades reflect his lasting impact on safe, efficient, and sustainable mining technologies ๐ŸŒ

๐Ÿ”ฌ Research Leadership

Prof. Chunlai Wang has led and contributed to 11 major research projects focused on rockburst prediction, microstructural instability, and dynamic disaster control in deep mining ๐Ÿชจ๐Ÿ“กโ›๏ธ. As principal investigator on multiple National Natural Science Foundation of China (NSFC) projects, he has pioneered early-warning systems, animal behavior-based disaster prediction, and energy modeling under dynamic loads. His work spans both national and provincial programs, including the National Key R&D Program and Eleventh Five-Year Plan. Prof. Wangโ€™s expertise in deep mine safety, rock mechanics, and multi-source monitoring is advancing safer and more intelligent mining technologies ๐Ÿ”ฌ๐Ÿง โš™๏ธ.

๐Ÿ› ๏ธ Invention and Innovationย 

Prof. Chunlai Wang holds five authorized national invention patents that address rock mass failure prediction, microseismic early warning, and disaster prevention in mining engineering ๐Ÿ› ๏ธ๐Ÿ“ก. His innovations include methods for detecting rockburst risks, systems for multi-point displacement monitoring, and energy-absorbing structures for mine goafs ๐Ÿชจ๐Ÿ“‰. Notably, he developed a vertical coal bunker blockage-clearing device, advancing mine safety and operational efficiency โš™๏ธ๐Ÿšง. These patented technologies represent a fusion of geotechnical insight, sensor integration, and engineering safety applications, making a significant impact on rock mechanics, mine hazard mitigation, and smart mining development โ›๏ธ๐Ÿ”ฌ.

๐Ÿ”ฌ Research Focusย 

Prof. Chunlai Wangโ€™s research is rooted in rock mechanics and mining safety engineering ๐Ÿชจโš™๏ธ. He specializes in the mechanism of rockburst and its prediction, aiming to reduce catastrophic failures in underground mining โ›๏ธ๐Ÿ’ฅ. His work on microseismic monitoring enables early warning and real-time control of geological hazards ๐Ÿ“ก๐Ÿ“ˆ. He also focuses on landslide prediction and support technologies, improving slope stability and infrastructure protection ๐Ÿž๏ธ๐Ÿ› ๏ธ. Integrating advanced modeling and monitoring, his research enhances operational safety, disaster prevention, and sustainable mining practices ๐ŸŒ๐Ÿ”ฌ. His innovations are critical to modern geotechnical and energy resource engineering.

๐Ÿ“š Publications

Crack Nucleation Mechanism of Rock Fracture
Authors: Chunlai Wang, Baokun Zhou, Chaoyang Zhu, Changfeng Li, Liang Sun
Journal: Engineering Fracture Mechanics (2025)

Infrared Temperature Distribution Characteristics and State Assessment Method of Sandstone Under Tension and Compression Stress
Authors: Changfeng Li, Chunlu Lan, Baokun Zhou, Chaoyang Zhu, Qiru Sui, Xiaolin Hou, Chunlai Wang
Journal: Infrared Physics & Technology (2024)

Optimization of Ore Pillar Recovery Based on Weighting Combined with Uncertainty Measurement Theory
Authors: Jun Qian, Wenqiang Xu, Chunlu Lan, Chunlai Wang, Changfeng Li, Qingjun Yu, Yuze Li, Yutao Tang, Jianwei Zhang, Guannan Wang
Journal: Journal of Geophysics and Engineering (2024)

Prediction and Critical Transition Mechanism for Granite Fracture: Insights from Critical Slowing Down Theory
Authors: Chun-lai Wang, Bao-kun Zhou, Chang-feng Li, Zhi-jie Wen, Zhi-an Bai, Chao-yang Zhu, Liang Sun, Xu-hui Xue, Peng Cao
Journal: Journal of Central South University (2024)

Temperature Response of Coal Fracture Induced by Three-Dimensional Stress Field
Authors: Chunlai Wang, Changfeng Li, Baokun Zhou, Liang Sun, Zhian Bai, Chaoyang Zhu, Guangjin Wang, Qiru Sui, Jinze Song
Journal: Measurement (2024)

Robustness of Rock Damage Regions Induced by Crack Nucleation
Authors: Yubo Liu, Chunlai Wang, Changfeng Li, Zhian Bai, Lin Huang, Kang Peng, Xuhui Xue, Peng Cao
Journal: International Journal of Geomechanics (2023)

Numerical Simulation Investigation on Parameter Optimization of Deep-Sea Mining Vehicles
Authors: Hongyun Wu, Wei Liu, Min Jiang, Changfeng Li, Jiangming Li, Bingzheng Chen, Chunlai Wang, Yuheng Chen
Journal: Chinese Journal of Mechanical Engineering (2023)