Karim Dahech | Electrical Engineering | Research Excellence Award

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Prof. Karim Dahech | Electrical Engineering
| Research Excellence Award

Higher Institute of Industrial Management of Sfax | Tunisia

Prof. Karim Dahech’s research focuses on advanced nonlinear control and observer design with strong applications in renewable energy systems and industrial process optimization. A major contribution lies in the development of sliding mode, terminal sliding mode, and backstepping-based control strategies to enhance robustness, stability, and performance of photovoltaic and wind energy conversion systems, particularly for maximum power point tracking under uncertainties and disturbances. His work integrates fuzzy logic, T–S fuzzy models, and nonlinear observers to address complex dynamics, improve energy efficiency, and ensure reliable operation of renewable energy systems. In parallel, he has contributed significantly to observer-based control and multi-model approaches for nonlinear and uncertain systems, enabling accurate state estimation and fault-tolerant control. These methods have been successfully applied to microgrids, grid-connected inverters, and wastewater treatment processes, demonstrating interdisciplinary impact across energy and environmental engineering. The research emphasizes practical implementation, including processor-in-the-loop validation and real-time applicability, bridging theory and industrial deployment. Overall, this body of work advances robust control methodologies for sustainable energy and complex nonlinear systems, with measurable scientific impact reflected by 274 total citations (191 since 2020), an h-index of 7 (6 since 2020), and an i10-index of 6 (5 since 2020).

Citation Metrics (Google Scholar)

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Featured Publications

Maximum Power Point Tracking of Photovoltaic Systems Based on Fast Terminal Sliding Mode Controller
– International Journal of Renewable Energy Research, 2016 (24 citations)
Fuzzy Observer-Based Control for Maximum Power-Point Tracking of a Photovoltaic System
– International Journal of Systems Science, 2018 (23 citations)
A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple-Model Approach
– International Journal of Automation and Computing, 2017 (13 citations)

Imran Mohammad | Structural Health | Research Excellence Award

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Assist. Prof. Dr. Imran Mohammad | Structural Health
| Research Excellence Award

College of Medicine at Prince Sattam Bin Abdulaziz University | Saudi Arabia

Assist. Prof. Dr. Imran Mohammad is an accomplished microbiology researcher with a strong record of scientific contributions across bacteriology, microbial ecology, natural product research, and medical microbiology. His research spans the discovery of vitamin B12-producing Pseudomonas species, evaluation of marine invertebrate compounds against multidrug-resistant pathogens, and extensive investigations into antibacterial, antibiofilm, and antioxidant activities of medicinal plant extracts, including Salvadora persica, Zingiber officinale, Mukia maderaspatana, Pongamia pinnata, and Tamarindus indica. He has also contributed systematic reviews on the modern medical applications of ginger and the neuroprotective potential of probiotic strains such as Lactobacillus acidophilus. His studies further explore biomarkers like D-Dimer in vaccinated cardiovascular patients during COVID-19, the role of neem as a sustainable biopesticide, and microbial responses under environmental stressors related to food safety. In medical education research, he has assessed the impact of healthcare simulation on practical training in male catheterization procedures. His latest work examines the intersection of emerging pandemics such as Mpox and COVID-19. In addition to publishing widely in peer-reviewed journals, he actively contributes to the scientific community through extensive article review activities across microbiology, epidemiology, sustainability, antioxidants, and clinical research, demonstrating his commitment to advancing global scientific knowledge.

 Profile: Orcid | Scopus

Featured Publications

Mohammad, I., Ansari, M. R., Khan, M. S., Bari, M. N., Kamal, M. A., & Poyil, M. M. (2025). Enhancing food safety: Adapting to microbial responses under diverse environmental stressors. Preprints, 2025091382. https://doi.org/10.20944/PREPRINTS202509.1382.V1

Mohammad, I., Khan, M. S., Ansari, M. R., Kamal, M. A., Bari, M. N., & Anwar, M. (2025). Enhancing food safety: Adapting to microbial responses under diverse environmental stressors. Trends in Ecological and Indoor Environmental Engineering, 3(2), 12–26. https://doi.org/10.62622/TEIEE.025.3.2.12-26

Mohammad, I., Khan, M. S., Ansari, R., Bari, N., & Anwar, M. (2025). Intersecting pandemics: Analyzing the relationship between Mpox and COVID-19. The New Armenian Medical Journal, 19(2), 4–17. https://doi.org/10.56936/18290825-2.v19.2025-4

Mohammad, I., Ansari, M. R., Bari, M. N., Anwar, M., & Khan, M. S. (2025). The impact of healthcare simulation on practical training: Enhancing medical students’ proficiency in in-vitro male catheterization procedures. Preprints, 2025020300. https://doi.org/10.20944/PREPRINTS202502.0300.V1

Mohammad, I., Ansari, M. R., Khan, M. S., Bari, M. N., Kamal, M. A., & Poyil, M. M. (2025). Beyond digestion: The gut microbiota as an immune–metabolic interface in disease modulation. Gastrointestinal Disorders, 7(4), 77. https://doi.org/10.3390/gidisord7040077

Harun Gokce | Mechanical | Best Mechanical Engineering Award

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Assoc. Prof. Dr. Harun Gokce | Mechanical
| Best Mechanical Engineering Award

Gazi University | Turkey

Assoc. Prof. Dr. Harun Gokce Research activities focus on advanced structural and mechanical system design, optimization, and virtual manufacturing, integrating computer-aided engineering, experimental mechanics, and intelligent simulation techniques. Work emphasizes the development of 3D simulation environments for CNC machine tools, virtual machining, and automated process optimization to improve manufacturing accuracy, efficiency, and cost performance. Significant contributions have been made to additive manufacturing, including the design of bio-inspired microstructures and bone scaffolds, enabling improved biomechanical performance in tissue engineering applications. Research also addresses multi-objective optimization of mechanical components such as gearboxes, spur gears, hydrostatic thrust bearings, and diffusers through advanced algorithms including Taguchi methods and grey wolf optimization. Additional studies involve the numerical and experimental investigation of cutting forces, thermal behavior, and tool geometries in high-precision machining processes, contributing to enhanced surface quality and tool life. Expertise in CAD/CAE platforms supports integrated modeling, analysis, and validation of complex assemblies for aerospace, automotive, and defense applications, including guided systems, aerodynamic components, and structural platforms. By combining simulation, reverse engineering, rapid prototyping, and optimization methodologies, this body of work advances smart manufacturing, lightweight design, and digitally driven engineering solutions for high-performance and mission-critical systems.

 Profile: Google Scholar

Featured Publications

Top, N., Şahin, İ., & Gökçe, H. (2021). Computer-aided design and additive manufacturing of bone scaffolds for tissue engineering: State of the art. Journal of Materials Research, 36(1), 3725–3745.

Dörterler, M., Şahin, İ., & Gökçe, H. (2018). A grey wolf optimizer approach for optimal weight design problem of the spur gear. Engineering Optimization, 51(1), 1–15.

Yavuz, M., Gökçe, H., Çiftci, I., Yavaş, C., & Şeker, U. (2020). Investigation of the effects of drill geometry on drilling performance and hole quality. International Journal of Advanced Manufacturing Technology, 106(1), 4623–4633.

Top, N., Şahin, İ., & Gökçe, H. (2023). The mechanical properties of functionally graded lattice structures derived using computer-aided design for additive manufacturing. Applied Sciences, 13(21), 1–21

Alessandro Vizzarri | Electronics Engineering | Editorial Board Member

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Prof. Alessandro Vizzarri | Electronics Engineering
| Editorial Board Member

University of Rome Tor Vergata | Italy

Prof. Alessandro Vizzarri is a distinguished researcher and academic in telecommunications engineering, intelligent networks, and artificial intelligence. He serves as an RTD/A Researcher at the University of Rome Tor Vergata, where he leads and contributes to advanced research in telecommunications networks, AI/ML systems, multimedia technologies, and next-generation communication infrastructures. He also teaches courses in Radiomobile Multimedia Networks, Telecommunications and Internet, and Artificial Intelligence.With extensive experience across academia, research institutes, and industry, Prof. Vizzarri’s work encompasses AI-driven network optimization, edge computing, satellite–terrestrial integration, 5G/LEO hybrid systems, and cybersecurity. He has held key technical and management roles in major national and European research initiatives, including projects funded by EUSPA, ESA, Horizon 2020/Horizon Europe, and the Italian Ministry of Enterprises. His contributions span diverse sectors such as autonomous mobility, railway signalling, satellite communications, immersive digital heritage, and smart city infrastructure.Beyond research, Prof. Vizzarri is actively involved in innovation management and technology transfer. He delivers training and seminars on AI/ML, digital transformation, intellectual property strategies, and research project development. His career includes substantial achievements in system architecture, platform design, multidisciplinary coordination, and the development of future-ready communication technologies.

 Profile:  Scopus 

Featured Publications

Siyi Wang | Smart Manufacturing | Best Researcher Award

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Ms. Siyi Wang | Smart Manufacturing
| Best Researcher Award

Graduate student at Xi’an Technological University, China.

Siyi Wang is a graduate student at Xi’an Technological University, majoring in Industrial Engineering and Management Science. Under the mentorship of Professor Gao Xiaobing, she has focused her research on optimizing body-in-white (BIW) measurement station planning for automotive manufacturing. Her work addresses complex real-world constraints—such as environmental limitations, feature characteristics, equipment capability, and on-site operability—leading to significantly improved measurement efficiency in a major automobile factory. With a recent publication in Applied Sciences, she demonstrates strong research potential and the ability to apply academic insights to industrial practice. Her innovative approach reflects a rare blend of theoretical rigor and practical relevance, making her a promising candidate for recognition through the Best Researcher Award.

🌍 Professional Profile:

Google Scholar

🏆 Suitability for the Best Researcher Award :

Siyi Wang is highly suitable for the Best Researcher Award due to her outstanding application of engineering principles to solve real-world industrial challenges. Her research on body-in-white measurement station planning is not only academically rigorous but also has direct implications for enhancing manufacturing efficiency in the automotive sector. Despite being at the graduate level, she has authored a peer-reviewed paper in a reputable SCI-indexed journal, demonstrating her capability to contribute valuable knowledge to the field. Her ability to work under constraints and deliver measurable improvements in industrial settings reflects her innovation, problem-solving acumen, and technical insight—qualities befitting a future research leader. She exemplifies emerging excellence in engineering science and deserves recognition for her impactful contributions.

🎓 Education :

Siyi Wang is currently pursuing her graduate studies in Industrial Engineering and Management Science at Xi’an Technological University, China. She is under the academic supervision of Professor Gao Xiaobing, a recognized expert in measurement system optimization and intelligent manufacturing. Her education has been deeply focused on the practical aspects of industrial systems, measurement technologies, and operations research. Her curriculum includes advanced coursework in production system optimization, statistical modeling, and quality control systems. Through her graduate program, Siyi has developed a strong foundation in both theoretical and applied aspects of industrial engineering, with a particular interest in automotive manufacturing and laser radar systems. Her academic training equips her well to continue impactful research in smart manufacturing and systems optimization.

🏢 Work Experience :

Siyi Wang has accumulated significant research experience through her graduate work at Xi’an Technological University. Her primary project involves the planning of body-in-white (BIW) measurement stations, where she integrates theoretical modeling with industrial constraints to enhance manufacturing accuracy and efficiency. She has worked closely with real automotive production data, analyzing environmental limitations, measurement feature characteristics, equipment restrictions, and actual operating conditions. Her findings have led to a practical breakthrough—notably improving measurement efficiency in a collaborating automobile factory. Though early in her career, her experience reflects high-impact, real-world application of academic research. She is also the co-author of a published article in Applied Sciences, highlighting her ability to produce peer-reviewed work with industrial significance.

🏅 Awards and Honors :

As an emerging researcher, Siyi Wang has begun gaining recognition for her contributions to applied engineering science. Her notable achievement includes co-authoring an SCI-indexed paper in Applied Sciences titled “Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints” (2025). While she has not yet received formal awards, her selection for publication in a respected international journal as a graduate student demonstrates early-career research excellence. Her work has been acknowledged internally within her department for its relevance and innovation in solving industry-specific problems. Given her demonstrated potential and the measurable impact of her research, she is a strong candidate for future academic and professional honors, including the Best Researcher Award.

🔬 Research Focus :

Siyi Wang’s research centers on measurement station planning for body-in-white (BIW) systems in automotive manufacturing. She focuses on improving the efficiency and accuracy of vehicle inspection processes by considering a wide range of constraints, such as environmental conditions, geometry of features, sensor capabilities, and operational dynamics. Her work applies advanced methods in industrial engineering and systems optimization to model and solve these complex, multi-variable challenges. She is particularly interested in integrating laser radar technologies with planning algorithms to enhance the flexibility and precision of inspection stations. Her research is both practical and forward-looking, contributing to smart manufacturing, digital twin environments, and intelligent quality control systems. It has already shown real industrial value in a major automotive factory.

📊 Publication Top Notes:

📘 Solvent‐Annealed Crystalline Squaraine: PC70BM (1:6) Solar Cells
📅 Year: 2011 | 🔁 Cited by: 293 | 🧪 Topic: Organic Solar Cells

📘 Solution-Processed Squaraine Bulk Heterojunction Photovoltaic Cells
📅 Year: 2010 | 🔁 Cited by: 215 | ☀️ Topic: Photovoltaics, Squaraine

📘 Efficient, Ordered Bulk Heterojunction Nanocrystalline Solar Cells by Annealing of Ultrathin Squaraine Thin Films
📅 Year: 2010 | 🔁 Cited by: 189 | 🔬 Topic: Nanocrystalline Solar Cells

📘 High Efficiency Organic Photovoltaic Cells Based on a Vapor Deposited Squaraine Donor
📅 Year: 2009 | 🔁 Cited by: 153 | ⚡ Topic: Organic Photovoltaics

📘 Independent Control of Bulk and Interfacial Morphologies of Small Molecular Weight Organic Heterojunction Solar Cells
📅 Year: 2012 | 🔁 Cited by: 146 | 🧫 Topic: Morphology Control, OPV

📘 N,N-Diarylanilinosquaraines and Their Application to Organic Photovoltaics
📅 Year: 2011 | 🔁 Cited by: 144 | 🧪 Topic: Squaraine Chemistry

📘 Functionalized Squaraine Donors for Nanocrystalline Organic Photovoltaics
📅 Year: 2012 | 🔁 Cited by: 133 | ⚙️ Topic: Donor Design, Solar Cells

Zhenyun Tang |Structural engineering |Best Research Article Award

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Prof. Dr. Zhenyun Tang | Structuralengineering
|Best Research Article Award

 

Professor at BEIJING UNIVERSITY OF TECHNOLOGY ,China.

 

Professor Tang Zhenyun is a distinguished expert in earthquake engineering and disaster mitigation at Beijing University of Technology. As a doctoral supervisor, he contributes significantly to experimental seismic technology and structural vibration control. He serves on multiple national youth editorial and technical committees focused on disaster resilience. His innovative research spans real-time hybrid simulation, base isolation systems, and tuned liquid dampers. Tang has authored high-impact papers in top journals like International Journal of Structural Stability and Dynamics and Soil Dynamics and Earthquake Engineering. He has earned prestigious awards, including the Silver Medal at the Geneva International Exhibition of Inventions and the First Prize from the China Highway and Transportation Society. His scholarly excellence makes him a prime candidate for the Best Research Article Award.



🌍 Professional Profile:


Scopus


🏆 Suitability for the Best Research Article Award




 














































Professor Tang Zhenyun is an internationally recognized scholar in earthquake engineering, whose research integrates experimental innovation and practical seismic mitigation strategies. His recent articles in high-impact journals such as Soil Dynamics and Earthquake Engineering and International Journal of Structural Stability and Dynamics reflect cutting-edge advancements in vibration control, base isolation, and real-time hybrid simulation. His award-winning work—recognized by the China Inspection and Testing Society, Geneva International Exhibition of Inventions, and others—demonstrates both theoretical depth and practical impact. As a doctoral supervisor and active member of key professional societies, Professor Tang’s research not only advances academic knowledge but also contributes to safer infrastructure. His scientific rigor and innovation make him highly suitable for the Best Research Article Award.














































🎓 Education 


Professor Tang Zhenyun holds a Ph.D. in Engineering, specializing in structural dynamics and earthquake resilience. His doctoral research laid a solid foundation in advanced experimental methods, real-time hybrid simulation, and vibration control technologies for civil infrastructure. He has received comprehensive academic training from leading Chinese institutions, culminating in his doctoral degree, which has empowered him to contribute meaningfully to seismic safety and geotechnical innovation. Throughout his education, Professor Tang demonstrated exceptional academic merit and research capability, which propelled him into a prominent academic and professional trajectory. His educational background enables him to mentor graduate and doctoral students while advancing theoretical and applied research in structural and earthquake engineering.


🏢 Work Experience 


With extensive academic and research experience, Professor Tang Zhenyun serves as a full professor and doctoral supervisor at Beijing University of Technology. He has led and collaborated on national research projects involving seismic mitigation, vibration control, and soil-structure interaction. Tang has developed innovative real-time hybrid simulation techniques and applied them to civil engineering challenges, producing highly cited publications. His engineering expertise is recognized nationally and internationally, and he has played key roles on editorial boards and professional committees in earthquake prevention and disaster resilience. He also bridges academia and industry through applied research, contributing to testing standards and resilient infrastructure development. His multifaceted experience underscores his suitability for awards recognizing impactful and applied research in structural safety.


🏅 Awards and Honors 


Professor Tang Zhenyun has received numerous national and international honors recognizing his contributions to seismic engineering. These include the First Prize from the China Inspection and Testing Society (1/15) and the Second Prize from the Fujian Science and Technology Awards (2/7). He won the Silver Medal at the Geneva International Exhibition of Inventions (1/5) for his innovative engineering solutions. As the sole recipient (1/1) of the Personal Prize from the China Industry-University-Research Institute Collaboration Association, Tang demonstrated exceptional leadership in applied research. He also contributed to the First Prize from the China Highway and Transportation Society (11/15). These accolades collectively reflect his groundbreaking research, interdisciplinary collaborations, and impactful innovations in earthquake resilience and structural safety.


🔬 Research Focus 
































































Professor Tang Zhenyun’s research is centered on earthquake engineering, with specific expertise in experimental technology, base isolation, seismic mitigation, and vibration control. He specializes in real-time hybrid simulation, where he develops and applies novel methods to model complex soil-structure systems under seismic loads. His studies have advanced the use of GPU computing for structural simulations and proposed new frequency-domain analysis techniques for systems employing tuned liquid dampers. Tang’s work on the stability of hybrid testing systems and parameter identification in dynamic models has influenced the development of resilient infrastructure. His research addresses both theoretical modeling and practical application, making significant contributions to safety-critical structures in earthquake-prone regions and aligning with national resilience strategies.




























































































📊 Publication Top Notes:


    

  1. 

    Yang, B., Li, Z., Lv, J., Tang, Z., & Wang, L. (2025). Experimental study on load-bearing capacity of T-shaped semi-rigid connected double skin composite shear walls. KSCE Journal of Civil Engineering.
    Citations: 1
    

    2. 

  2. 

    Shang, Q., Tang, Z., & Wang, T. (2024). Component-level seismic fragility database of suspended piping systems in buildings. Earthquake Engineering and Resilience.
    Citations: 0
    

    3. 

  3. 

    Li, X., Tang, Z., & Du, X.L. (2024). Identification of stable parameters for discrete-time rational approximation of MDOF frequency response functions in semi-infinite media. Gongcheng Lixue/Engineering Mechanics.
    Citations: 1
    

    4. 

  4. 

    Liu, H., Tang, Z., & Enokida, R. (2024). Stability prediction method of time-varying real-time hybrid testing system on vehicle-bridge coupled system. Mechanical Systems and Signal Processing.
    Citations: 1
    

    5. 

  5. 

    Tang, Z., Li, J., Wang, M., Yu, C., & Li, Z. (2024). Investigation on bearing resistance of thin-walled circular steel tube subjected to eccentric loading. Advances in Structural Engineering.
    Citations: 0
    

    6. 

  6. 

    Yi, S., Su, T., & Tang, Z. (2024). Robust adaptive Kalman filter for structural performance assessment. International Journal of Robust and Nonlinear Control.
    Citations: 4
    

    7. 

  7. 

    Wu, Y., Dong, X., Liao, W., Zheng, G., & Shang, H. (2024). Field dynamic characteristics testing of foundation isolation structures under horizontal initial displacement. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering.
    Citations: 1
    

    8. 

  8. 

    Liu, H., & Tang, Z. (2024). Stability prediction method for real-time hybrid test system based on the measured dynamics of physical test system. Soil Dynamics and Earthquake Engineering.
    Citations: 0
    

    9. 

  9. 

    Tang, Z., & Li, X. (2023). Stable parameters identification for rational approximation of single degree of freedom frequency response function of semi-infinite medium. International Journal for Numerical Methods in Engineering.
    Citations: 0
    

    10. 


	


	

	






	
	

		


Javier Ramírez | Computational Mechanics | Best Researcher Award
			

				Published on  by Engineering Scientist			

		
	


	

		
Dr. Javier Ramírez | Mechanics |Best Researcher Award




Professor at Universidad de Chile, Chile.


Dr. Javier Ramírez Ganga is an Adjunct Professor at the Universidad de Chile’s Department of Mathematical Engineering and a Project Engineer at the Center for Mathematical Modeling (CMM). With a Ph.D. in Engineering Sciences specializing in Mathematical Modeling, his research bridges numerical methods and real-world applications in mining, hydrology, and inverse problems. He has co-authored impactful publications in prestigious journals and actively contributes to national research projects. His international research visits and collaborations, especially in France, highlight his global engagement. Dr. Ramírez’s innovative work in gradient damage models and control theory positions him as a leader in applied mathematics, making him a highly deserving candidate for the Best Researcher Award.


🌍 Professional Profile:


Orcid


🏆 Suitability for the Best Researcher Award


 






































Dr. Javier Ramírez Ganga is a strong contender for the Best Researcher Award due to his significant contributions to computational mechanics, inverse problems, and applied mathematics. His academic path from a B.Sc. in Mathematics to a Ph.D. in Engineering Sciences with a focus on mathematical modeling demonstrates a deep commitment to interdisciplinary and application-driven research. His current roles as Adjunct Professor and Project Engineer at Universidad de Chile and the Center for Mathematical Modeling reflect leadership in impactful research environments.






































🎓 Education 


Javier Ramírez Ganga earned his Ph.D. in Engineering Sciences with a focus on Mathematical Modeling from Universidad de Chile in 2021. His doctoral thesis addressed the numerical reconstruction of inverse problems for partial differential equations under the supervision of Jaime H. Ortega and Gino Montecinos. He previously completed a Mathematical Engineering degree in 2016 at Universidad de Santiago de Chile, where he developed numerical approximations for exact controls in the 2D heat equation. His academic journey began with a B.Sc. in Mathematics from the same institution in 2015. This strong mathematical foundation supports his interdisciplinary research, blending advanced theory with real-world computational modeling. His training reflects both academic excellence and practical problem-solving skills.


🏢 Work Experience 


Dr. Ramírez currently serves as an Adjunct Professor at the Universidad de Chile’s Department of Mathematical Engineering and as a Project Engineer at the CMM. Since 2020, he has contributed to several major national research projects, including FONDEF IDEA initiatives and the Advanced Center for Water Technologies (CAPTA), working on numerical methods for engineering applications. His supervisors include prominent researchers such as Jaime H. Ortega and James Mc Phee. Internationally, he conducted two research stays at Institut Fourier, Université Grenoble-Alpes, France. His expertise spans numerical modeling, applied mathematics, and inverse problems, enabling collaborations across engineering and environmental sciences. His experience demonstrates versatility and a sustained commitment to high-impact, interdisciplinary research.


🏅 Awards and Honors 


While specific awards are not listed, Dr. Javier Ramírez Ganga’s scholarly output and participation in prestigious research projects demonstrate a high level of academic recognition. His publications in Applied Mathematical Modelling and Mathematical Reports, along with presentations at major conferences like MassMin 2020, highlight the academic impact of his work. His repeated invitations for international research visits to the Institut Fourier, Université Grenoble-Alpes, signal his growing global reputation. His continued selection for competitive national projects such as FONDEF IDEA and CAPTA also reflects the confidence of Chile’s research funding bodies in his expertise. These accomplishments collectively suggest a trajectory of excellence and make him a strong candidate for future honors and distinctions.


🔬 Research Focus 
































































Dr. Javier Ramírez Ganga’s research centers on numerical analysis, control theory, and inverse problems in partial differential equations (PDEs), with strong applications in engineering and environmental modeling. His recent work includes gradient damage models for underground mining, CGO solutions for coupled conductivity equations, and inverse modeling for water technologies. He applies computational tools like Python, FreeFem++, and Matlab to simulate complex systems and propose efficient solutions for practical challenges. His interdisciplinary collaborations bridge applied mathematics, geophysics, and hydrology, contributing to innovation in sustainable mining and water resource management. By integrating mathematical rigor with engineering relevance, his work enhances the predictive power of simulations and informs policy and design in critical sectors.




























































































📊 Publication Top Notes:


Journal Articles


Bonnetier, E., Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2025). Gradient damage models for studying material behavior in underground mining. Applied Mathematical Modelling, 116171.


Lecaros, R., Montecinos, G., Ortega, J. H., & Ramírez-Ganga, J. (2022). CGO solutions for coupled conductivity equations. Mathematical Reports, 24(1–2), 217–220.


Conference Proceedings


Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A gradient damage model applied to underground mining methods. In MassMin 2020: Proceedings of the Eighth International Conference & Exhibition on Mass Mining. University of Chile.


Preprints


Bonnetier, E., Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A shear-compression damage model for the simulation of underground mining by block caving. arXiv preprint, arXiv:2012.11118.


Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A fast algorithm of the shear-compression damage model for the simulation of block caving. arXiv preprint, arXiv:2012.14776.

	


	

	






	
	

		


Xin  Bai | Mechanical Engineering | Best Researcher Award
			

				Published on  by Engineering Scientist			

		
	


	

		
Assist. Prof. Dr. Xin Bai | Mechanical Engineering

|Best Researcher Award




Assist. Prof. Institute of Metal Research, Chinese Academy of Sciences, China.




 


Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.


🌍 Professional Profile:


Orcid


🏆 Suitability for the Best Researcher Award


 




















Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.




















🎓 Education 


Dr. Xin Bai received comprehensive training in materials science and engineering, culminating in his doctoral studies at the prestigious Institute of Metal Research, Chinese Academy of Sciences (CAS). His academic path reflects a strong foundation in mechanical behavior, fracture mechanics, and fatigue analysis. He has also engaged in postdoctoral research and advanced studies in failure physics, enhancing his expertise in structural reliability. His educational journey combined rigorous scientific coursework with hands-on research in laboratory environments, allowing him to acquire the necessary skills for leading complex experimental and theoretical investigations. His continued affiliation with CAS exemplifies the high caliber of his education and research orientation.


🏢 Work Experience 


Dr. Xin Bai serves as an Associate Professor at the Institute of Metal Research, Chinese Academy of Sciences, and is actively involved in advanced fatigue and reliability studies. His professional journey includes extensive experience in developing fatigue reliability methods based on physical failure mechanisms, small-scale testing, and predictive modeling. He has led multiple research projects focusing on translating laboratory-scale data into accurate, full-scale structural performance assessments. His work integrates mechanical engineering, software development, and statistical modeling to address real-world engineering problems. As a member of the Youth Innovation Promotion Association of CAS, he collaborates with leading scientists nationwide, contributing to China’s strategic goals in materials reliability and engineering safety.


🏅 Awards and Honors 


Dr. Xin Bai has been honored as a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences—an elite recognition awarded to promising young scientists. This distinction underscores his contributions to material reliability and fatigue research. He has received accolades for his innovative research methods and impactful findings, with invitations to present at top conferences and collaborations with national-level research teams. His software development efforts for fatigue prediction have been adopted in academic and industrial settings, further establishing his influence in the field. His work continues to earn national and institutional praise, positioning him among China’s rising stars in materials science and engineering.


🔬 Research Focus 
































































Dr. Xin Bai’s research centers on developing low-cost, high-efficiency methods for assessing fatigue reliability based on failure physics. His focus areas include: (1) structural fatigue reliability assessment using minimal testing data, enabling accurate predictions without extensive experimentation; (2) techniques for extrapolating full-scale component fatigue performance from small specimen data, significantly reducing testing time and cost; and (3) software development to support fatigue fracture analysis and reliability modeling. His interdisciplinary approach combines materials science, mechanical engineering, and data-driven modeling to advance the understanding and prediction of structural behavior under cyclic loads. His innovations have broad applications in aerospace, automotive, and infrastructure industries, helping ensure long-term structural safety and performance.




























































































📊 Publication Top Notes:


    

  • 

    Song Zhou; Zhaoxing Qian; Xin Bai (2024). Static properties evaluation for laser deposition repaired TA15 components based on a constitutive model considering annealing heat treatment. Engineering Failure Analysis.
    

    • 

  • 

    Xin Bai; Peng Zhang; Shuo Liu; Rui Liu; Bingfeng Zhao; Zhefeng Zhang (2023). Fatigue strength prediction of large-size component through size effect measurement and determination. International Journal of Fatigue.
    

    • 

  • 

    X. Bai; P. Zhang; Q. Wang; R. Liu; Z. J. Zhang; Q. Q. Duan; E. N. Yang; H. Bo; Z. F. Zhang (2022). A New Dominance Distribution Method to Select Materials with Higher Fatigue Resistance under Property Scatter and Load Uncertainty. Journal of Materials Engineering and Performance.
    

    • 

  • 

    Zhiming Xie; Peng Wang; Bin Wang; P. Zhang; Xin Bai; Zhefeng Zhang (2022). Effects of Heat Treatment on Fatigue Properties of Double Vacuum Smelting High‐Carbon Chromium‐Bearing Steel. Advanced Engineering Materials.
    

    • 

  • 

    Shuo LIU; Bin Wang; P. Zhang; Xin Bai; Qiqiang Duan; Xuegang Wang; Zhefeng Zhang (2022). The Effect of Microstructure Inhomogeneity on Fatigue Property of EA4T Axle Steel. steel research international.
    

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    Bingfeng Zhao; Liyang Xie; Yu Zhang; Jungang Ren; Xin Bai; Bo Qin (2021). An improved dynamic load-strength interference model for the reliability analysis of aero-engine rotor blade system. Journal of Aerospace Engineering.
    

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  • 

    Lei Wang; Bingfeng Zhao; Lei Wang; Zhiyong Hu; Song Zhou; Xin Bai (2021). A new multiaxial fatigue life prediction model for aircraft aluminum alloy. International Journal of Fatigue.
    

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  • 

    Xin Bai; Peng Zhang; Enna Yang; Qiqiang Duan; Hao Bo; Zhefeng Zhang (2020). Dominance distributions for fatigue performance of materials and its application in material selection. Preprint on Authorea.
    

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    Xin Bai; Peng Zhang; Zhen‐jun Zhang; Rui Liu; Zhe‐feng Zhang (2019). New method for determining P‐S‐N curves in terms of equivalent fatigue lives. Fatigue & Fracture of Engineering Materials & Structures.
    

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    Xin Bai; Liyang Xie; Ruijin Zhang; Ruoyi Guan; Anshi Tong; Enjun Bai (2017). Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations. International Journal of Fatigue.
    

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Mehmet Senturk |Structural Engineering | Best Researcher Award
			

				Published on  by Engineering Scientist			

		
	


	

		
 Dr. Mehmet Senturk | Structural Engineering

| Best Researcher Award


 


Tutor in Engineering at Coventry University, United Kingdom .


Dr. Mehmet Senturk is a distinguished engineering tutor at Coventry University, with a PhD in Structural Engineering. His work integrates seismic design, finite element analysis, and sustainable construction, bridging academic innovation with industrial application. With over ten years of global academic and consultancy experience, Dr. Senturk has led and collaborated on funded research projects, produced high-impact publications, and holds several national patents. His expertise spans structural health monitoring, sensor technologies, image processing, and additive manufacturing. His interdisciplinary approach enhances structural resilience and digital engineering. With 140 citations and an h-index of 6, Dr. Senturk’s commitment to cutting-edge innovation and international collaboration makes him an ideal candidate for the Best Researcher Award.


🌍 Professional Profile:


Orcid 


Scopus


Google scholar


🏆 Suitability for the Best Researcher Award




















Dr. Mehmet Senturk exemplifies research excellence through his impactful contributions to structural and earthquake engineering. With a PhD in Structural Engineering and over a decade of academic and industry experience, he has led pioneering work in seismic design, sustainable structures, and smart monitoring technologies. His three national patents, 140+ Google Scholar citations, and extensive publication record in top-tier journals showcase his innovative approach and commitment to advancing engineering science. Dr. Senturk’s interdisciplinary skills—spanning robotics, image processing, and additive manufacturing—have fueled international collaborations and transformative research projects. His ability to bridge theory with real-world applications makes him a leader in engineering innovation and a highly deserving candidate for the Best Researcher Award.




















🎓 Education 


Dr. Mehmet Senturk’s academic journey reflects a strong foundation in civil and structural engineering. He holds a PhD in Structural Engineering, where his research focused on advanced modeling and resilience of structural systems under seismic and thermal loads. His MSc in Earthquake Engineering provided expertise in seismic risk mitigation, retrofitting, and dynamic analysis. He began his academic pursuit with a BSc in Civil Engineering, establishing core competencies in materials science, construction practices, and geotechnical fundamentals. This progression has allowed Dr. Senturk to integrate theory with real-world applications, culminating in a comprehensive educational background ideal for interdisciplinary research and innovation in structural and sustainable engineering.


🏢 Work Experience 


Dr. Mehmet Senturk has over a decade of combined academic and industrial experience. He currently serves as a Tutor in Engineering at Coventry University, where he mentors future engineers and contributes to pioneering research. His career includes contributions to over 20 industry projects, with a focus on structural diagnostics, seismic assessment, and smart infrastructure systems. Dr. Senturk has collaborated with institutions such as the University of Sheffield, Istanbul Technical University, and Istanbul Rumeli University. His cross-functional work includes the design and testing of cold-formed steel, bolted precast systems, and high-temperature-resistant components. His experience spans robotics, sensor integration, and image processing, positioning him at the intersection of civil, digital, and structural engineering.


🏅 Awards and Honors 


Dr. Mehmet Senturk’s research achievements have earned national recognition through multiple Turkish patents, reflecting his contributions to innovative structural systems and testing technologies. His patented inventions include a two-piece high-temperature test furnace and advanced connection systems for reinforced concrete. He has been a prolific reviewer for leading journals such as Engineering Structures and Structures (Elsevier), completing over 30 peer-reviews. His role in collaborative projects with renowned academics from institutions like the University of Sheffield and Istanbul Technical University highlights his influence in global research. With 140 Google Scholar citations and an h-index of 6, Dr. Senturk’s consistent excellence in research, collaboration, and innovation underlines his strong suitability for awards recognizing outstanding research contributions.


🔬 Research Focus 
































































Dr. Mehmet Senturk’s research focuses on enhancing structural resilience through the integration of traditional civil engineering with advanced digital tools. His core areas include seismic performance of structures, finite element modeling, and sustainable construction. He investigates structural systems under complex load conditions—thermal, seismic, and axial—using both experimental and numerical methods. His research incorporates sensor technologies, structural health monitoring, and robotics platforms like Arduino and Raspberry Pi for real-time diagnostics. He is also active in additive manufacturing and digital prototyping of test systems. Dr. Senturk’s work supports the development of smarter, safer infrastructure through interdisciplinary innovation, evidenced by his patents, publications in top-tier journals, and ongoing collaborations across Europe and Turkey.




























































































📊 Publication Top Notes:


    

  1. 

    Senturk, M., Ilki, A., & Hajirasouliha, I. (2025).
    Replaceable monolithic-like beam-to-beam precast connection for RC frames: Concept development and design procedure.
    Structures.
    https://doi.org/10.1016/j.istruc.2025.108875
    

    2. 

  2. 

    Öztürk, F., Mojtabaei, S. M., Senturk, M., Pul, S., & Hajirasouliha, I. (2022).
    Buckling behaviour of cold-formed steel sigma and lipped channel beam–column members.
    Thin-Walled Structures, 173, 108963.
    https://doi.org/10.1016/j.tws.2022.108963
    

    3. 

  3. 

    Pul, S., Senturk, M., Ilki, A., & Hajirasouliha, I. (2021).
    Experimental and numerical investigation of a proposed monolithic-like precast concrete column-foundation connection.
    Engineering Structures, 239, 113090.
    https://doi.org/10.1016/j.engstruct.2021.113090
    

    4. 

  4. 

    Pul, S., Atasoy, A., Senturk, M., & Hajirasouliha, I. (2021).
    Structural performance of reinforced concrete columns subjected to high-temperature and axial loading under different heating-cooling scenarios.
    Journal of Building Engineering, 43, 102477.
    https://doi.org/10.1016/j.jobe.2021.102477
    

    5. 

  5. 

    Senturk, M., Pul, S., Ilki, A., & Hajirasouliha, I. (2020).
    Development of a monolithic-like precast beam-column moment connection: Experimental and analytical investigation.
    Engineering Structures, 206, 110057.
    https://doi.org/10.1016/j.engstruct.2019.110057
    

    6. 

  6. 

    Pul, S., & Senturk, M. (2017).
    A bolted moment connection model for precast column-beam joint.
    World Congress on Civil, Structural, and Environmental Engineering.
    https://doi.org/10.11159/icsenm17.129
    

    7. 


	


	

	






	
	

		


Yaohui Lu | structural health monitoring | Best Researcher Award
			

				Published on  by Engineering Scientist			

		
	


	

		
Prof. Yaohui Lu| structural health monitoring

| Best Researcher Award


 


Prof. Yaohui Lu ,Southwest Jiaotong University, China


Dr. Yaohui Lu is a distinguished Professor and Ph.D. Supervisor in the Department of Thermal Energy and Power Engineering at Southwest Jiaotong University, China. With extensive academic and industrial experience, he specializes in vehicle engineering, structural reliability, and advanced mechanical design. His research contributions in vehicle aerodynamics, fatigue analysis, and energy systems have earned international recognition. Dr. Lu has published influential papers in high-impact journals and has collaborated with global institutions, including the University of Michigan and Plymouth University. His innovative research significantly impacts railway engineering and automotive industries. Given his outstanding contributions to the field, Dr. Lu is a strong candidate for the Best Researcher Award, demonstrating excellence in pioneering technologies and engineering advancements.


🌍 Professional Profile:


Orcid


🏆 Suitability for the Best Researcher Award


 


Dr. Yaohui Lu has made groundbreaking contributions to vehicle engineering, fatigue analysis, and structural health monitoring. His extensive research in dynamic stress prediction, vibration fatigue, and aerodynamic design has shaped modern vehicle safety and performance optimization. His high-impact publications in leading journals, combined with his mentorship of Ph.D. students, demonstrate his academic leadership. Dr. Lu’s collaborations with global research institutions further validate his influence in the field. As a Ph.D. supervisor and professor, he has nurtured talent and contributed to advancing transportation technology. His exceptional research output, innovation in mechanical engineering, and dedication to knowledge dissemination make him a deserving recipient of the Best Researcher Award.


🎓 Education 


Dr. Yaohui Lu has an extensive educational background in vehicle engineering. He earned his Ph.D. (2004–2011) and Master’s degree (2000–2003) from the Traction Power State Key Laboratory of Vehicle Engineering, Southwest Jiaotong University, China. His undergraduate studies (1994–1999) were completed at the School of Mechanical Engineering at the same institution. Further enhancing his academic profile, Dr. Lu was a visiting scholar at the University of Michigan, Ann Arbor, USA (2013–2014), and Plymouth University, UK (2017). These international experiences broadened his expertise in modern mechanical design, structural reliability, and advanced vehicle dynamics. His academic journey reflects a strong commitment to innovation and excellence in the field of mechanical and vehicle engineering.


🏢 Work Experience 


Dr. Yaohui Lu has had a progressive career in mechanical engineering academia. Since December 2018, he has been a Professor at the Department of Thermal Energy and Power Engineering, Southwest Jiaotong University, where he also serves as a Ph.D. Supervisor. Previously, he was an Associate Professor (2011–2018) and Assistant Professor (2003–2011) in the same department. His early career includes experience as an engineer in locomotive maintenance at LanZhou Railroad Bureau (1998–2000). His diverse roles, ranging from teaching to applied engineering, reflect his in-depth expertise in vehicle dynamics, energy systems, and mechanical reliability. With decades of academic and industry experience, Dr. Lu continues to drive innovation in mechanical and railway engineering.


🏅 Awards and Honors 


Dr. Yaohui Lu has received multiple accolades for his contributions to mechanical and vehicle engineering. His research excellence has been recognized with prestigious awards from academic and professional organizations. He has been honored for his high-impact publications in renowned journals, particularly in fatigue analysis and vehicle aerodynamics. As a leading researcher in vehicle engineering, he has also received government grants and funding for innovative research projects. His international collaborations have further established his global reputation, earning him invitations to keynote conferences and expert panels. Dr. Lu’s consistent contributions to structural health monitoring and energy-efficient vehicle design make him a standout researcher, reinforcing his suitability for the Best Researcher Award.


🔬 Research Focus 




















Dr. Yaohui Lu’s research spans multiple domains in vehicle engineering, including modern vehicle design methodologies, finite element analysis, and lightweight structures. He is an expert in vibration and welding fatigue analysis, structural health monitoring, and dynamic reliability design. His work also explores vehicle aerodynamics, covering both high-speed trains and automobiles. Additionally, Dr. Lu focuses on new energy power systems, contributing to sustainable transportation solutions. His research in collision safety, large deformation mechanics, and fatigue life prediction has significant industry applications. With publications in high-impact journals, his findings influence the development of safer and more efficient transportation systems. His interdisciplinary approach and innovative problem-solving make him a key figure in the field of vehicle engineering.




























📊 Publication Top Notes:


    

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    Yaohui Lu (2016). Research on dynamic stress analysis method and prediction of fatigue life for carbody of high-speed trains. Journal of the China Railway Society, 38(9), 31-37.
    

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    Yaohui Lu (2019). Fatigue life reliability evaluation in a high-speed train bogie frame using accelerated life testing. Reliability Engineering and System Safety, 188, 221-232.
    

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    Yaohui Lu (2017). Dynamic stress calculation and fatigue whole-life prediction of bogie frame for high-speed trains. Journal of Traffic and Transportation Engineering, 17(1), 62-70.
    

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    Yaohui Lu (2020). Numerical simulation of residual stresses in aluminum alloy welded joints. Journal of Manufacturing Processes, 50, 380-393.
    

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    Yaohui Lu (2019). Analysis of the aerodynamic pressure effect on the fatigue strength of the carbody of high-speed trains. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 233(8), 783-801.
    

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    Yaohui Lu (2018). Analysis of the dynamic response and fatigue reliability of a full-scale carbody of a high-speed train. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 232(7), 2006-2023.
    

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    Yaohui Lu (2017). Load spectrum compilation and analysis of accelerated life test for high-speed train bodies. Journal of Mechanical Engineering, 53(24), 151-160.
    

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    Yaohui Lu (2019). Numerical computation methods of welding deformation and their application in bogie frames for high-speed trains. Journal of Manufacturing Processes, 38, 204-213.
    

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  • 

    Yaohui Lu (2019). Calculation method of dynamic load spectrum and effects on fatigue damage of a full-scale carbody. Vehicle System Dynamics, 2019, 1-20.
    

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  • 

    Yaohui Lu (2018). Analysis methods of the dynamic structural stress in a full-scale welded carbody for high-speed trains. Advances in Mechanical Engineering, 10(10), 1-16.
    

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