Mr. Issam Forsal | Materials Science | Best Researcher Award

Mr. Issam Forsal | Materials Science | Best Researcher Award

Mr. Issam Forsal , Universitรฉ Sultan Moulay Slimane , Morocco.

Mr. Issam Forsal, is an Authorized Higher Education Professor and Head of the Process Engineering Department at the Higher School of Technology, Beni Mellal, Sultan Moulay Slimane University ๐Ÿ‡ฒ๐Ÿ‡ฆ. Specializing in Analytical Chemistry, he also serves as the Deputy Director of the Laboratory of Applied Engineering and Technology (LITA) ๐Ÿ›๏ธ. Since 2015, he has been a teacher-researcher, contributing to materials science, electrochemical kinetics, and corrosion studies. His expertise extends to financial and economic management, having previously served as a project manager at the university ๐ŸŽ“๐Ÿ’ก.

Publication Profile

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Education & Experience ๐ŸŽ“๐Ÿ”ฌ

โœ… Education:
  • Specialization in Analytical Chemistry ๐Ÿงช
  • Advanced training in Process Engineering and Materials Science โš™๏ธ
โœ… Experience:
  • Since 2015: Professor & Researcher at Higher School of Technology, Beni Mellal ๐Ÿ‘จโ€๐Ÿซ
  • 2011-2016: Facilitator in Understanding Business Program (CLE) ๐Ÿค๐Ÿ“ˆ
  • 2010-2014: Project Manager at Sultan Moulay Slimane University (Economic & Financial Affairs) ๐Ÿ’ฐ๐Ÿ›๏ธ
  • Expertise in budget management, audits, purchasing processes, and research project execution ๐Ÿ“Š

Summary Suitability

Mr. Issam Forsal is a distinguished researcher and educator specializing in Analytical Chemistry, with significant contributions to corrosion inhibition, electrochemical analysis, and eco-friendly material applications. As Deputy Director of the Laboratory of Applied Engineering and Technology (LITA) at Sultan Moulay Slimane University, Morocco, he has demonstrated exceptional leadership in advancing scientific research. His work on green corrosion inhibitors, published in high-impact journals, has provided innovative solutions for industrial applications, making him a strong contender for this prestigious award.

Professional Development ๐Ÿ“š๐Ÿ’ผ

Mr. Issam Forsal, has demonstrated strong professional growth in teaching, research, and university management. His academic contributions span materials science, electrochemical kinetics, and analytical chemistry ๐Ÿงชโš›๏ธ. With a focus on corrosion, surface treatment, and experimental design, he integrates innovative methodologies into his teachings ๐Ÿ“–โœจ. His leadership extends beyond the classroom, as he played a key role in university financial and project management, ensuring efficient resource allocation ๐Ÿ’ฐ๐Ÿ“‘. As a Deputy Director at LITA, he actively promotes technological advancements and fosters interdisciplinary research collaborations ๐Ÿค๐Ÿ”.

Research Focus ๐Ÿ”ฌ๐Ÿ“‘

Mr. Issam Forsal research primarily revolves around Analytical Chemistry and Process Engineering, with a strong emphasis on materials science, corrosion mechanisms, and electrochemical kinetics ๐Ÿงช๐Ÿ› ๏ธ. His studies contribute to the development of innovative corrosion protection techniques and surface treatment methodologies โš›๏ธ๐Ÿ”. Additionally, he explores experimental design strategies for chemical analysis and industrial applications ๐Ÿ“Šโš™๏ธ. His work also intersects with environmental chemistry, focusing on sustainable and eco-friendly material processing techniques ๐ŸŒฑ๐Ÿ”ฌ. Through collaborations within LITA, he integrates cutting-edge analytical methods to enhance industrial and academic research outcomes ๐Ÿš€๐Ÿ“–.

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

๐Ÿ… Recognized for excellence in higher education teaching and research ๐Ÿ‘จโ€๐Ÿซ๐Ÿ“š
๐Ÿ… Acknowledged for contributions to analytical chemistry and materials science ๐Ÿงชโš›๏ธ
๐Ÿ… Honored for leadership in financial and economic management in academia ๐Ÿ’ฐ๐Ÿ›๏ธ
๐Ÿ… Received multiple grants for research in electrochemical kinetics and surface treatment ๐Ÿ”ฌ๐Ÿ”
๐Ÿ… Appreciation for mentoring and academic program facilitation at Sultan Moulay Slimane University ๐ŸŽ“๐Ÿ’ก

Publication Top Notes

1๏ธโƒฃ Investigation of Ziziphus Lotus Leaves Extract Corrosion Inhibitory Impact on Carbon Steel in a Molar Hydrochloric Acid Solution
๐Ÿ“Œ Portugaliae Electrochimica Acta, 2023 | Journal article
๐Ÿ“„ DOI: 10.4152/pea.2023410203
๐Ÿ“‘ ISSN: 1647-1571
๐Ÿ‘ฅ Contributors: S. Lahmady, O. Anor, I. Forsal, et al.

2๏ธโƒฃ Electrochemical Examination of an Eco-friendly Corrosion Inhibitor “Almond Flower Extract” for Carbon Steel in Acidic Medium (1 M HCl)
๐Ÿ“Œ Analytical and Bioanalytical Electrochemistry, 2022 | Journal article
๐Ÿ“„ EID: 2-s2.0-85131576767
๐Ÿ“‘ ISSN: 2008-4226
๐Ÿ‘ฅ Contributors: S. Lahmady, O. Anor, I. Forsal, H. Hanin, K. Benbouya

3๏ธโƒฃ An Experimental Investigation of a Date Seeds Hydro-acetonic Mixture Extract Inhibitor for Corrosion Inhibition of Carbon Steel in an Acidic Medium at High Temperatures
๐Ÿ“Œ Biointerface Research in Applied Chemistry, 2022-07-10 | Journal article
๐Ÿ“„ DOI: 10.33263/briac133.271
๐Ÿ“‘ ISSN: 2069-5837

4๏ธโƒฃ The Inhibition Action of Essential Oil of J. Juniperus Phoenicea on the Corrosion of Mild Steel in Acidic Media
๐Ÿ“Œ Portugaliae Electrochimica Acta, 2018 | Journal article
๐Ÿ“„ DOI: 10.4152/pea.201802077
๐Ÿ“„ EID: 2-s2.0-85040185247
๐Ÿ‘ฅ Contributors: Y. Elkhotfi, I. Forsal, E.M. Rakib, B. Mernari

5๏ธโƒฃ Comparative Spectroscopic and Electrochemical Study of N-1 or N-2-Alkylated 4-Nitro and 7-Nitroindazoles
๐Ÿ“Œ Arabian Journal of Chemistry, 2017 | Journal article
๐Ÿ“„ DOI: 10.1016/j.arabjc.2016.05.005
๐Ÿ“„ EID: 2-s2.0-85006700464
๐Ÿ‘ฅ Contributors: G. Micheletti, A. Kouakou, C. Boga, P. Franchi, M. Calvaresi, L. Guadagnini, M. Lucarini, E.M. Rakib, D. Spinelli, D. Tonelli, et al.

Conclusion ๐ŸŽ–๏ธ

Mr. Issam Forsalย  groundbreaking research in corrosion science, dedication to sustainable chemistry, and outstanding academic contributions make him a highly deserving candidate for the Best Researcher Award. His work has direct industrial applications, environmental impact, and scientific advancements, reflecting excellence in innovative research and academic leadership.

Xiping Luo | Design of Materials | Best Researcher Award

Xiping Luo | Design of Materials | Best Researcher Award

Prof. Dr. Xiping Luo, Zhejiang Agriculture and Forestry University, China.

Dr. Xiping Luo is a Professor and Vice Dean at the School of Science at Zhejiang Agriculture and Forestry University, where he also serves as the Director of the Key Laboratory of Chemical Utilization of Forestry Biomass in Zhejiang Province. Specializing in the development and chemical utilization of forestry biological resources, he has led several national and provincial research projects, published over 40 papers, and holds 16 invention patents. Dr. Luo has received multiple awards and is committed to advancing sustainable solutions in the field of chemical engineering. ๐ŸŒฑ๐Ÿ”ฌ๐Ÿ“š

Publication Profiles

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Education & Experienceย ๐ŸŽ“๐Ÿ’ผ

  • 2016/12: PhD in Engineering, School of Chemical Engineering, Zhejiang University of Technology ๐ŸŽ“
  • 2001/04-Present: Lecturer, Associate Professor, Professor, Vice Dean, School of Chemistry and Materials Engineering, Zhejiang Agriculture and Forestry University ๐Ÿซ
  • 2015/02-2016/02: Research visit, UC Davis, USA ๐ŸŒŽ
  • 2012/10-2012/11: International training, Kenesaw State University, USA m
  • 2006/02-2006/03: JICA Research and Training, Japan ๐Ÿ‡ฏ๐Ÿ‡ต

Summary Suitability

Dr. Xiping Luo, Professor and Doctor of Engineering, is a leading researcher in biomass chemistry and sustainable materials. As Vice Dean at Zhejiang Agriculture and Forestry University and Director of a key provincial laboratory, he has pioneered innovative energy storage solutions, advanced bio-based sensors, and catalytic materials. With 16 patents, 40+ high-impact publications, and leadership in national and international projects, his work has significantly impacted renewable energy and green technology. Recognized with multiple provincial and ministerial awards, Dr. Luoโ€™s groundbreaking contributions to forestry biomass utilization and environmental sustainability make him a deserving recipient of the Best Researcher Award.

Professional Developmentย  ๐Ÿ“š๐Ÿ”

Dr. Luo’s professional growth has been marked by various international collaborations and training. He spent time at UC Davis, USA, and Kenesaw State University, focusing on higher education and research. Additionally, he engaged in research and training in Japan under the JICA program. These experiences have helped him develop a global perspective on scientific innovation and contribute significantly to forestry biomass utilization research. His academic journey reflects a continual commitment to expanding his expertise, fostering innovation in sustainable chemistry. ๐ŸŒ๐Ÿ”ฌ๐Ÿค

Research Focus

Dr. Xiping Luo’s research is primarily centered on the chemical utilization of forestry biomass. He explores innovative ways to develop and process biological resources for sustainable applications in chemistry and environmental sciences. His work aims to create more efficient, environmentally friendly processes that make use of renewable natural resources, thus contributing to a greener future. Through his work in this field, Dr. Luo also delves into advanced material development, catalysis, and energy storage systems, especially in relation to batteries and electrochemical devices.ย ๐ŸŒฟ๐Ÿ”‹โš—๏ธ

Awards And Honours

  • 3 Provincial and Ministerial Level Achievement Awardsย ๐Ÿ…
  • 2 Departmental and Bureau Level Awardsย ๐Ÿ†
  • 16 Invention Patents Grantedย ๐Ÿ› ๏ธ
  • National 948 Project Leaderย ๐Ÿ…
  • National “Twelfth Five Year Plan” Science and Technology Support Project Leaderย ๐ŸŒ

Publications Top Noted

  • “High adsorption to methylene blue based on Feโ‚ƒOโ‚„โ€“N-banana-peel biomass charcoal”ย โ€“ย RSC Advances, 2024ย ๐Ÿ“–๐Ÿ”
  • “Preparation of Aminated Sodium Lignosulfonate and Efficient Adsorption of Methyl Blue Dye”ย โ€“ย Materials, 2024ย ๐Ÿ“–๐Ÿงช
  • “Zinc Oxide-Loaded Cellulose-Based Carbon Gas Sensor for Selective Detection of Ammonia”ย โ€“ย Nanomaterials, 2023ย ๐Ÿ“–๐ŸŒฑ
  • “Zinc Oxide Loaded Cellulose-Based Carbon Gas Sensor for Selective Detection of Ammonia”ย โ€“ย Preprint, 2023ย ๐Ÿ“–๐Ÿง‘โ€๐Ÿ”ฌ

 

 

Cheng-Wei Fei | Design of Materials and Components | Best Researcher Award

Prof. Dr. Cheng-Wei Fei | Design of Materials and Components | Best Researcher Award

Professor at Fudan University, China

Prof. Dr. Cheng-Wei Fei is a distinguished academic and researcher specializing in aerospace engineering, particularly in aeroengine structural strength and reliability. He is currently a Professor at Fudan University, with prior experience as a Research Fellow at Hong Kong University of Science and Technology and as a Postdoctoral Fellow at Hong Kong Polytechnic University. With a Ph.D. in Aerospace Propulsion Theory and Engineering from Beihang University, Prof. Fei has published over 130 SCI-indexed papers and authored six books. His research contributions, including 15 patents, focus on AI-driven advancements in aircraft health management and reliability, directly supporting key national projects like the C919 and CJ-1000 aircraft. He is an active leader in the academic community, serving as an editor for several prominent journals and holding multiple leadership roles in aerospace societies. Prof. Fei’s work bridges fundamental science and practical applications, positioning him as a key figure in aerospace research and development.

Professional Profileย 

Education

Prof. Dr. Cheng-Wei Fei has a strong academic foundation in aerospace engineering. He earned his Ph.D. in Aerospace Propulsion Theory and Engineering from Beihang University in 2014, following a Master’s degree in the same field from Shenyang Aerospace University in 2010. His undergraduate studies were in Electrical Engineering and Automation, which he completed at Fujian University of Technology in 2007. Throughout his academic journey, Prof. Fei has continually sought to advance his knowledge, first as a student and later as a researcher and educator. His rigorous education laid the groundwork for his future contributions to aerospace science, particularly in the areas of aeroengine reliability, AI applications in aerospace, and advanced propulsion technologies. Prof. Fei’s ongoing commitment to academic excellence is reflected in his long-standing position as a Professor at Fudan University, where he continues to push the boundaries of aerospace research.

Professional Experience

Prof. Dr. Cheng-Wei Fei has extensive professional experience in both academic and research settings. He currently serves as a professor in the Department of Mechanical Engineering, specializing in the design and analysis of materials and components. Throughout his career, Dr. Fei has been involved in numerous high-impact research projects related to structural reliability, materials behavior, and dynamic system modeling. His expertise spans computational mechanics, dynamic modeling of structures, and advanced materials design, with a focus on integrating multi-physics approaches for solving real-world engineering problems. Dr. Fei has also contributed significantly to the advancement of reliability-based design optimization and surrogate modeling strategies. He has collaborated with industry partners and government organizations, applying his research to practical challenges in the aerospace, automotive, and energy sectors. With over 100 peer-reviewed publications, Dr. Fei is a leading figure in his field, recognized for his contributions to engineering design and innovation.

Research Interest

Prof. Dr. Cheng-Wei Fei’s research interests are centered around aerospace propulsion, structural strength, and reliability, with a particular focus on integrating artificial intelligence (AI) into aerospace systems. He has made significant contributions to the development of new theories and methodologies, such as information fusion fault diagnosis, dynamic assembly reliability design, and intelligent reliability design for aeroengines and aircraft. His research aims to address critical challenges in aircraft health management, intelligent operation and maintenance, and the overall reliability of aerospace technologies. Prof. Fei’s work supports the development of key national aerospace projects, including China’s C919 and CJ-1000 aircraft, as well as advanced aeroengines. He is deeply involved in applying AI and advanced engineering models to improve the performance and safety of aerospace systems, with his research outcomes directly influencing the design and operational efficiency of modern aircraft and engines. His interdisciplinary approach blends aerospace engineering with cutting-edge AI techniques, pushing the boundaries of innovation in the field.

Award and Honor

Prof. Dr. Cheng-Wei Fei has received numerous accolades for his exceptional contributions to aerospace engineering and research. He has been recognized for his groundbreaking work in aeroengine reliability, AI integration, and aerospace health management, which has significantly impacted national aerospace projects like the C919 and CJ-1000 aircraft. As an academic leader, Prof. Fei holds prestigious editorial positions in renowned journals, including Shock and Vibration, Aerospace, and Mechanical Design. He has also been invited as a session chair at major international conferences, such as AAME 2024 and ISAES 2024, further underscoring his global reputation. In addition to his academic achievements, Prof. Fei is actively involved in professional societies, holding leadership roles such as Vice Chairman of the National Committee of Experts on Aerospace Materials and Deputy Director of the Aeronautical Power Professional Committee of Shanghai Aeronautical Society. These honors reflect his significant influence and leadership in the aerospace research community.

Conclusion

Prof. Dr. Cheng-Wei Fei is highly suitable for the Best Researcher Award. His extensive research output, leadership roles, significant contributions to national aerospace projects, and strong academic background make him an outstanding candidate. Addressing the noted areas for improvement, particularly by broadening his research scope and emphasizing global impact, could further enhance his qualifications for international recognition.

Publications Top Noted

  • Title: Improved Kriging with extremum response surface method for structural dynamic reliability and sensitivity analyses
    Authors: C Lu, YW Feng, RP Liem, CW Fei
    Year: 2018
    Citations: 108
  • Title: Fusion information entropy method of rolling bearing fault diagnosis based on n-dimensional characteristic parameter distance
    Authors: YT Ai, JY Guan, CW Fei, J Tian, FL Zhang
    Year: 2017
    Citations: 102
  • Title: LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems
    Authors: J Xia, Y Feng, C Lu, C Fei, X Xue
    Year: 2021
    Citations: 100
  • Title: Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields
    Authors: C Lu, CW Fei, HT Liu, H Li, LQ An
    Year: 2020
    Citations: 98
  • Title: Probabilistic LCF life assessment for turbine discs with DC strategy-based wavelet neural network regression
    Authors: LK Song, GC Bai, CW Fei
    Year: 2019
    Citations: 84
  • Title: Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes
    Authors: LK Song, CW Fei, J Wen, GC Bai
    Year: 2017
    Citations: 81
  • Title: Improved decomposed-coordinated kriging modeling strategy for dynamic probabilistic analysis of multicomponent structures
    Authors: C Lu, YW Feng, CW Fei, SQ Bu
    Year: 2019
    Citations: 80
  • Title: Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk
    Authors: B Keshtegar, M Bagheri, CW Fei, C Lu, O Taylan, DK Thai
    Year: 2021
    Citations: 78
  • Title: Reliability-based low-cycle fatigue damage analysis for turbine blade with thermo-structural interaction
    Authors: H Gao, C Fei, G Bai, L Ding
    Year: 2016
    Citations: 77
  • Title: Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework
    Authors: C Lu, CW Fei, YW Feng, YJ Zhao, XW Dong, YS Choy
    Year: 2021
    Citations: 76
  • Title: Enhanced network learning model with intelligent operator for the motion reliability evaluation of flexible mechanism
    Authors: CW Fei, H Li, HT Liu, C Lu, LQ An, L Han, YJ Zhao
    Year: 2020
    Citations: 73
  • Title: Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship
    Authors: CW Fei, H Li, HT Liu, C Lu, B Keshtegar, LQ An
    Year: 2020
    Citations: 73