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

Posted on by ScienceFather

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 Profile 

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

 

Amaras Mathuros | Structural Engineering | Best Researcher Award

Posted on by ScienceFather

Amaras Mathuros | Structural Engineering | Best Researcher Award

Dr. Amaras Mathuros, Chiang Rai Rajabhat University, Thailand.

Publication profile

Scopus

Education and Experience

  • Ph.D. in Civil Engineering (Structural Engineering)
    • Thammasat University (2020 – 2023)
    • Thesis Grade: Excellent, GPA: 4.00 🎓
  • M.Eng. in Civil Engineering (Structural Engineering)
    • Chulalongkorn University (2016 – 2019)
    • Thesis Grade: Good, GPA: 3.25 🎓
  • B.Eng. in Civil Engineering and Construction Management
    • Thammasat University (2009 – 2013)
    • GPA: 3.06 🎓
  • Lecturer, Construction Engineering Technology
    • Faculty of Industrial Technology, Chiang Rai Rajabhat University (2023 – Present) 🏫
  • Lecturer, Civil Engineering
    • Faculty of Engineering, Bangkok Thonburi University (2019 – 2023) 🏫
  • Teaching Assistant, Civil Engineering
    • Chulalongkorn University (2018 – 2019) 🏫

Suitability for The Award

Dr. Amaras Mathuros is a strong candidate for the Best Researcher Award due to his substantial contributions to civil engineering, particularly in structural engineering and the innovative use of fiber-reinforced polymers (FRP). His academic achievements, active research contributions, and dedication to teaching reflect his commitment to advancing the field of engineering.

Professional Development (💼🔬)

Research Focus 🧫🧬

Awards and Honors (🏆🎖️)

  • Thesis Grade: Excellent
    • Ph.D. in Civil Engineering, Thammasat University 🏆
  • GPA: 4.00
    • Ph.D. in Civil Engineering, Thammasat University 🌟
  • Thesis Grade: Good
    • M.Eng. in Civil Engineering, Chulalongkorn University 🏆
  • Participant
    • The Thirty-First KKHTCNN Symposium on Civil Engineering, Kyoto University, Japan (2018) 🌏

Publication 

  • Monotonic and cyclic flexural performance of timber beams strengthened with glass fiber-reinforced polymer rods using near-surface mounted technique
    Mathuros, A., Thongchom, C., Van Hong Bui, L., Jongvivatsakul, P.
    Structures, 2024; 65:106729 (0 citations) 📄
  • Flexural Performance of Timber Beams Reinforced with Glass Fiber Reinforced Polymer Rods
    Thongchom, C., Van, C.N., Lai, V.Q., Keawsawasvong, S., Mathuros, A.
    Lecture Notes in Networks and Systems, 2023; 567 LNNS:201–209 (1 citation) 📄
  • Enhancing bonding behavior between carbon fiber-reinforced polymer plates and concrete using carbon nanotube reinforced epoxy composites
    Jongvivatsakul, P., Thongchom, C., Mathuros, A., … Lenwari, A., Charainpanitkul, T.
    Case Studies in Construction Materials, 2022; 17

    (27 citations) 📄

Ivana Vasovic Maksimovic | Structural Integrity | Best Researcher Award

Posted on by ScienceFather

Ivana Vasovic Maksimovic | Structural Integrity | Best Researcher Award

Dr. Ivana Vasovic Maksimovic, University of Belgrade , Serbia.

Publication profile

Orcid

Education

    • PhD, Mechanical Engineering, University of Belgrade, Serbia (2009–2015) 🎓
    • MSc in Mechanical Engineering, University of Belgrade, Serbia (2001–2008) 🎓
    • International Welding Engineer (IWE), Institute Gosa, Serbia (2014–2015) 🔧
    • International Welding Inspector (IWI-C), Institute Gosa, Serbia (2016) 🔍

Experience

    • Scientific Director, Lola Institute Ltd, Belgrade, Serbia (2019–present) 🏢
    • Research Associate, Lola Institute Ltd, Belgrade, Serbia (2018–2019) 🔬
    • Research Associate, Innovation Center, University of Belgrade, Serbia (2016–2018) 🔍
    • Research Associate, Institute Gosa, Belgrade, Serbia (2015–2016) 🔬
    • Research Assistant, Institute Gosa, Belgrade, Serbia (2009–2015) 🔬
    • Research Trainee, Institute Gosa, Belgrade, Serbia (2008–2009) 📈

Suitability for The Award

Dr. Ivana Vasovic Maksimovic, PhD, is a highly qualified candidate for the Best Researcher Award, distinguished by her exceptional contributions to the field of Mechanical Engineering, particularly in welding technologies, structural integrity, and fatigue analysis of materials. Her academic journey, beginning with her Master’s degree at the Faculty of Mechanical Engineering, University of Belgrade, has evolved into a successful research career, encompassing roles as a research trainee, assistant, associate, and scientific director. Ivana’s leadership in various research projects, both nationally and internationally, alongside her extensive publication record, underscores her influence and commitment to advancing the field.

Professional Development (💼🔬)

Research Focus 🧫🧬

Awards and Honors (🏆🎖️)

  • Best Researcher Award, Lola Institute Ltd, Serbia 🏆
  • Member, Serbian Welding Society 🌟
  • Member, European Structural Integrity Society (ESIS) 🌍
  • Contributor to National Projects on Engineering Innovations 🎖️

Publication Top Notes

Conclusion

Dr. Ivana Vasovic Maksimovic’s comprehensive research portfolio and commitment to advancing mechanical engineering make her a strong candidate for the Best Researcher Award. Her innovative contributions to welding technologies and fatigue analysis, along with her collaborative spirit and leadership in national and international projects, highlight her potential to drive impactful advancements in engineering practices. Recognizing her achievements would not only honor her contributions but also inspire future generations of researchers in the field.

Saad Al-Haidari | Mechanical Engineering | Best Researcher Award

Posted on by ScienceFather

Saad Al-Haidari | Mechanical Engineering | Best Researcher Award

Dr. Saad Raad Mujid , Al mustansiriyah university, Iraq.

📚🔬Publication Profile

Orcid

Scopus

Suitability For The Award

Saad Raad Mujid is a commendable candidate for the Best Researcher Award, given his robust educational background in mechanical engineering and thermal power engineering, complemented by extensive hands-on experience in the field. Graduating from the College of Engineering at the University of Mustansiriyah in Baghdad, Saad has developed a solid foundation in engineering principles, which he has effectively applied in various research and industrial settings. His commitment to advancing knowledge in thermal power and fluid dynamics positions him as a valuable contributor to the engineering community.

Professional Development

Saad Raad Mujid actively seeks professional development opportunities to enhance his skills and knowledge in mechanical engineering. He has completed courses in industry safety, heat convection studies, and well logging, which have equipped him with practical insights and enhanced his engineering capabilities. With hands-on experience at Hyundai and Samsung, he is well-versed in real-world applications of engineering principles. Saad continually strives to stay updated with the latest technologies, making him a valuable asset in any engineering environment. 🌟📈

Research Focus

Saad’s research focus lies in thermal power engineering, particularly in the study of heat transfer and fluid dynamics. He explores the principles of forced and natural convection, utilizing computational fluid dynamics (CFD) for innovative solutions in thermal applications. His hands-on experience with various engineering projects enables him to bridge the gap between theoretical concepts and practical implementations. Saad aims to contribute to advancements in energy efficiency and thermal management, making a meaningful impact in the field of mechanical engineering. 🔥🔍

Awards and Honors 🏆✨

  • Certificate of Completion: Study of Forced Heat Convection 🏅
  • Certificate of Completion: Study of Natural Heat Convection 🏅
  • Certificate: General Industry Safety and Health 🏆
  • Certificate: Well Logging and Safety 🏆
  • Recognized for Outstanding Performance at Hyundai Company 🥇
  • Recognized for Commitment to Safety at Osha Foundation 🥇

Publications 📚📝

  1. Analysis of thermohydraulic flow and enhancement heat performance in 3D dimple tube based on varying geometrical configurations – Cited by 1 document, 2024 🔍
  2. Evaluation of hydraulic thermal flow and heat performance augmentation in a 3D tube fitted with varying concavity dimple turbulator configurations – Cited by 0 documents, 2024 📈

Conclusion

In conclusion, Saad Raad Mujid’s strong academic qualifications, practical experience, and commitment to safety and collaborative research make him a highly suitable candidate for the Best Researcher Award. Recognizing his contributions would not only honor his dedication but also inspire continued excellence in the field of mechanical and thermal engineering.

Jawad Faiz | Electrical Machines | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Jawad Faiz | Electrical Machines | Best Researcher Award

Professor at University of Tehran , Iran

Dr. Jawad Faiz is a distinguished professor in the School of Electrical and Computer Engineering at the University of Tehran. With extensive contributions to the field of electrical engineering, his work spans the design, modeling, and control of various electrical machines, including induction generators and switched reluctance machines. His research has significantly advanced fault diagnosis techniques and condition monitoring in electrical systems.

Profile

ORCID Profile

Scopus Profile

Google Scholar

Author Metrics

Dr. Faiz is a highly cited researcher with numerous influential publications. His work has appeared in leading journals such as IEEE Transactions and IET. Notably, he has authored papers on fault diagnosis in motors, stator current monitoring, and advanced diagnostic techniques. His research is recognized globally, and he is listed among the top 1% of scientists in his field.

Education

Dr. Faiz holds a Ph.D. in Electrical Engineering from the University of Newcastle upon Tyne, UK, awarded in June 1988. He completed his M.Sc. and B.Sc. in Electrical Engineering at the University of Tabriz, Iran, in July 1975 and November 1974, respectively.

Research Focus

Dr. Faiz’s research interests encompass the design and modeling of electrical machines, including induction generators and switched reluctance machines. His work also focuses on fault diagnosis, condition monitoring, and energy recovery in motors. He has developed advanced techniques for detecting faults and optimizing performance in electric vehicles, transformers, and other electrical systems.

Professional Journey

Dr. Faiz has held numerous academic and administrative positions throughout his career. He served as Director of Educational Affairs and Dean of the Faculty of Engineering at the University of Tabriz. At the University of Tehran, he has been Vice-Dean of Graduate Studies and Director of the Center of Excellence on Applied Electromagnetic Systems. His leadership has greatly contributed to the development of research and educational programs in electrical engineering.

Honors & Awards

Dr. Faiz has received numerous accolades for his contributions to engineering and research. These include the Kharazmi International Festival 1st Prize for Basic Research (2007), the Einstein Golden Model Award from UNESCO (2007), and multiple awards from the University of Tehran for his research and book publications. He is also recognized as a Distinguished Researcher and Elite Professor by various Iranian institutions.

Publications Noted & Contributions

Dr. Faiz has authored and co-authored several significant books and papers in his field. His notable publications include “Electronic Tap-changer for Distribution Transformers” and “Fault Diagnosis of Induction Motors.” His translations of key electrical engineering texts into Persian have made substantial contributions to the academic resources available in Iran.

Research Timeline

Dr. Faiz’s research has evolved from foundational studies in electrical machines to advanced diagnostic techniques and modeling of electrical systems. His work has progressively addressed critical challenges in fault detection and energy efficiency, reflecting the advancements in electrical engineering over the decades.

Collaborations and Projects

Throughout his career, Dr. Faiz has collaborated with leading researchers and institutions globally. His projects often involve multi-disciplinary approaches, combining theoretical modeling with practical applications to address complex issues in electrical engineering. His collaborations have significantly enhanced the scope and impact of his research.

Publications

  1. Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors
    Authors: BM Ebrahimi, J Faiz, MJ Roshtkhari
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2009
    Volume and Pages: 56 (11), 4727-4739
    Citations: 404
    This paper presents methods for diagnosing various types of eccentricity faults (static, dynamic, and mixed) in permanent-magnet synchronous motors (PMSMs). The focus is on the diagnostic techniques used to identify these faults and their impact on motor performance.
  2. Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
    Authors: BM Ebrahimi, MJ Roshtkhari, J Faiz, SV Khatami
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2013
    Volume and Pages: 61 (4), 2041-2052
    Citations: 281
    This paper improves upon the fault recognition techniques for PMSMs, particularly focusing on advanced methods for detecting eccentricity faults using stator current signature analysis. It highlights the effectiveness of this approach in identifying fault conditions.
  3. Dissolved Gas Analysis Evaluation in Electric Power Transformers Using Conventional Methods: A Review
    Authors: J Faiz, M Soleimani
    Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    Year: 2017
    Volume and Pages: 24 (2), 1239-1248
    Citations: 241
    This review paper evaluates conventional methods for dissolved gas analysis (DGA) in electric power transformers. It discusses various techniques and their effectiveness in assessing transformer health and diagnosing faults.
  4. Extension of Winding Function Theory for Nonuniform Air Gap in Electric Machinery
    Authors: J Faiz, I Tabatabaei
    Journal: IEEE Transactions on Magnetics
    Year: 2002
    Volume and Pages: 38 (6), 3654-3657
    Citations: 218
    This paper extends the winding function theory to account for nonuniform air gaps in electric machinery. The extension provides more accurate modeling of electrical machines, improving the understanding and analysis of their performance.
  5. Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring
    Authors: BM Ebrahimi, J Faiz
    Journal: IEEE Transactions on Power Electronics
    Year: 2010
    Volume and Pages: 25 (10), 2673-2682
    Citations: 217
    This paper discusses methods for feature extraction aimed at detecting short-circuit faults in PMSMs by monitoring stator currents. It emphasizes the use of current monitoring techniques to enhance fault detection capabilities.
  6. Finite-Element Transient Analysis of Induction Motors Under Mixed Eccentricity Fault
    Authors: J Faiz, BM Ebrahimi, B Akin, HA Toliyat
    Journal: IEEE Transactions on Magnetics
    Year: 2007
    Volume and Pages: 44 (1), 66-74
    Citations: 213
    This paper utilizes finite-element transient analysis to study induction motors affected by mixed eccentricity faults. The analysis provides insights into the performance and behavior of motors under these fault conditions.
Strength for Best Researcher Award
  1. Innovative Fault Diagnosis Techniques
    Dr. Faiz has pioneered advanced methods for diagnosing eccentricity faults in permanent-magnet synchronous motors and other electrical systems. His innovative approaches have significantly improved fault detection and system reliability.
  2. High Citation Impact
    His publications, including influential papers on fault diagnosis and current signature analysis, have garnered substantial citations, highlighting the impact and relevance of his research in the field.
  3. Comprehensive Research Focus
    Dr. Faiz’s research encompasses a broad range of topics, from the design and modeling of electrical machines to fault diagnosis and energy recovery. This wide-ranging expertise contributes to a holistic understanding of electrical systems.
  4. Educational Contributions
    His role in educating and mentoring students and professionals in electrical engineering has been pivotal. His teaching and publications have enriched academic resources and advanced knowledge in his field.
  5. Recognition and Awards
    Dr. Faiz’s numerous accolades, including the Kharazmi International Festival 1st Prize and the Einstein Golden Model Award, reflect his esteemed position in the research community and his contributions to advancing electrical engineering.

Areas for Improvement

  1. Broader Interdisciplinary Collaboration
    While Dr. Faiz has collaborated with many researchers, expanding his interdisciplinary partnerships could further enhance the application and impact of his work across different fields.
  2. Increased Focus on Emerging Technologies
    Emphasizing emerging technologies such as renewable energy systems and smart grids could align his research with current and future industry trends, ensuring its continued relevance.
  3. Publication in Newer High-Impact Journals
    Publishing in newer or more diverse high-impact journals could broaden the reach of his research and attract attention from a wider audience within and outside the electrical engineering community.
  4. Enhanced Industry Engagement
    Strengthening ties with industry stakeholders and participating in industry-driven projects could facilitate practical applications of his research and drive innovation in real-world scenarios.
  5. Development of Advanced Research Tools
    Investing in the development or adoption of advanced research tools and methodologies could enhance the precision and scope of his studies, leading to more robust and comprehensive findings.

Conclusion

Dr. Jawad Faiz’s distinguished career is marked by his significant contributions to electrical engineering, particularly in fault diagnosis and machine modeling. His research has had a profound impact, evidenced by high citation rates and prestigious awards. Despite his many strengths, there is room for growth in areas such as interdisciplinary collaboration and industry engagement. Addressing these areas could further amplify his research impact and align it with contemporary technological advancements, ensuring continued relevance and innovation in the field.

.

Mr. Abdel Mouneim Khemissat | Conreol Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Abdel Mouneim Khemissat | Conreol Engineering | Best Researcher Award 

Mr. Abdel Mouneim Khemissat , Glasgow Caledonian University , United Kingdom

Dr. Abdel Mouneim Khemissat is a dedicated PhD researcher in Electrical Power Engineering at Glasgow Caledonian University, where he is focused on the security analysis and mitigation of large-scale battery energy storage systems integration into the power grid 🔋. With a solid foundation in automatics control engineering from the University of Boumerdes, Algeria, his expertise spans power engineering, control systems, and energy storage technologies 🔧. His professional journey includes extensive experience as a Teaching Assistant at Glasgow Caledonian University, where he teaches various aspects of electrical engineering, including control theory, power electronics, and communication systems 📚.

Profile :

Google Scholar 

Orcid

Education 🎓

  • Ph.D. in Electrical Power Engineering (05/2021 – 12/2024)
    Glasgow Caledonian University, Glasgow, United Kingdom
    Thesis: Security analysis and mitigation of large-scale Battery Energy Storage systems integration into the power grid.
    Supervisor: Professor Mohamed Emad FARRAG
  • Master’s degree in Automatics Control Engineering (09/2014 – 06/2016)
    University of Boumerdes, Boumerdes, Algeria
    Thesis: Prototyping a platform for mobile robots: Application to a self-balancing robot
    Supervisor: Dr. Hamza AKROUM
  • Bachelor’s degree in Electrical, Electronics and Automatics Engineering (09/2010 – 06/2014)
    University of Boumerdes, Boumerdes, Algeria

Work Experience 💼

  • Teaching Assistant in Electrical Engineering Department (09/2021 – present)
    Glasgow Caledonian University, Glasgow, United Kingdom

    • Control engineering, analogue and digital electronics, power electronics systems, power system operation and protection, advanced wireless communication
    • BA project supervision
  • Embedded Software Engineer (Part-time, 06/2023 – 03/2024)
    RAQIB dz (Fully remote)

    • Software product development, firmware development, IP camera implementation, firmware functional testing
  • Product Development Engineer (Part-time, 09/2021 – 11/2022)
    Invent Design Build Ltd, East Kilbride, United Kingdom

    • Medical test kit with BLE and nRF52, IoT alarm system with Z-WAVE, patents and IP analysis, firmware development of IoT sensors
  • Senior Instrumentation Engineer (06/2018 – 06/2020)
    Oasis Petroleum Service (OPS), Hassi Messaoud, Algeria

    • Metrology calibration, HART protocol, testing and calibration, team management
  • Embedded Software Engineer (03/2017 – 06/2018)
    HB Technologies SPA, Algiers, Algeria

    • Petrol Pay project, RFID solutions development, PCB design, software deployment
  • Undergraduate Engineer Trainee (03/2014 – 05/2014)
    SONATRACH DP, Ouargla, Algeria

    • Oil and gas instrumentation, DCS, SCADA, HART protocols
  • Teaching Assistant in Electrical Engineering Department (01/2017 – 05/2019)
    University of Skikda, Skikda, Algeria

    • Advanced control engineering, robotics arm control, C++ programming
  • President and Coach in Embedded Systems (09/2013 – 09/2016)
    Scientific Club ELECTRO at University of Boumerdes, Boumerdes, Algeria

    • Embedded C, microcontrollers, IoT development, PCB design, code development

Publication Top Note  :

Plateforme de prototypage rapide pour la robotique mobile : application à un robot Auto-balancé

Citation -2

Memory‐based event‐triggered control for networked control system under cyber‐attacks

Memory-based Event-Triggered Control for Networked Control System under Cyber-attacks

 

 

 

Mr. Zhi-Jian Li| Hygrothermal aging award | Best Researcher Award

Posted on by ScienceFather

Mr. Zhi-Jian Li| Hygrothermal aging award | Best Researcher Award

Johnny Jakobsen is an esteemed Associate Professor holding a Ph.D. in Materials and Production from Aalborg University, Denmark. With a rich academic background, including a Master of Science in Design of Mechanical Systems, he has established himself as a leading authority in the fields of composite materials, applied mechanics, and thermal/mechanical material behavior. Over the years, Jakobsen has contributed significantly to both academia and industry, with a diverse portfolio of research projects and commercial achievements.

His notable positions include serving as CEO and co-founder of FiberJoints, a pioneering spin-off company focusing on composite bolted joining solutions developed from research at Aalborg University. In addition to his entrepreneurial endeavors, Jakobsen has held various academic roles, including Head of Lab at the Department of Materials and Production and Associate Professor since 2019. He has also made significant contributions as a postdoctoral researcher and process engineer in renowned institutions such as Siemens Wind Power.

Profile :

Scopus

Education and Academic Background 📚

Jakobsen holds a Ph.D. from Aalborg University, awarded in 2008, following his completion of a Master of Science in Design of Mechanical Systems at the same institution in 2005. He furthered his academic pursuits by obtaining a Graduate Certificate in Business Administration in 2020, enhancing his interdisciplinary skills.

Professional Experience 💼

Jakobsen’s professional journey spans diverse roles in academia and industry. He has served as an Associate Professor at Aalborg University since 2014, assuming the position of CEO and co-founder of FiberJoints in 2023, a groundbreaking spin-off company stemming from patented composite bolted joining solutions developed at Aalborg University.

Prior to his current roles, Jakobsen excelled as a Process Engineer at Siemens Wind Power and undertook pivotal research as a Postdoc and Ph.D. student at Aalborg University. His international exposure includes stints as a Visiting Researcher at Cranfield University (UK) and a Visiting Ph.D. student at Florida Atlantic University (USA).

Research Focus and Contributions 🔬

At the forefront of Jakobsen’s research are composite materials, applied mechanics, and thermal/mechanical material behavior. His groundbreaking work encompasses crack formation in fiber composite materials, modeling of thermoset curing, and innovative experimental techniques. Jakobsen’s scholarly output includes over 60 publications, comprising refereed journal articles, patents, conference proceedings, and book chapters, attesting to his significant impact on the field.

Commercial Ventures and Achievements 💡

As the co-founder of FiberJoints, Jakobsen has translated cutting-edge research into tangible commercial success, leveraging patented technologies to revolutionize composite bolted joining solutions. His entrepreneurial acumen and scientific prowess have facilitated the seamless integration of academic research with industrial applications.

Teaching and Mentorship 📝

Jakobsen’s commitment to education extends across all academic levels, from undergraduate to doctoral studies. He imparts knowledge in diverse disciplines such as Solid Mechanics, Experimental Mechanics, Composite Materials, and Thermal Analysis. Through mentorship and supervision, Jakobsen nurtures the next generation of scholars, fostering intellectual growth and innovation.

Leadership and Administrative Roles 🌟

In addition to his academic and entrepreneurial endeavors, Jakobsen assumes pivotal management roles at Aalborg University. As the Head of Lab at the Department of Materials and Production, he oversees a multidisciplinary team, spearheading strategic initiatives and ensuring operational efficiency. Jakobsen’s leadership extends to his membership in the departmental management team, where he contributes to decision-making and policy formulation.

Beyond Academia 🌍

Outside his professional commitments, Jakobsen actively engages in administrative duties, serving as a member of various committees and study boards. His involvement in health and safety organizations underscores his dedication to fostering a conducive academic environment conducive to learning and innovation.

Johnny Jakobsen epitomizes the quintessential academic entrepreneur, seamlessly bridging the realms of research, education, and commercialization. His multifaceted contributions have propelled advancements in composite materials and applied mechanics, leaving an indelible mark

Publication Top Notes: