Haolei Mou | Materials Science | Best Researcher Award

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Haolei Mou | Materials Science | Best Researcher Award

Dr. Haolei Mou, Civil Aviation University, China.

Rumyana Lazarova | Materials Science | Best Researcher Award

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Rumyana Lazarova | Materials Science | Best Researcher Award

Prof. Dr. Rumyana Lazarova, Institute of Metal Science, Equipment and Technologies with Hydro- and Aerodynamics Centre, Bulgaria.

Jong-Han Lee | Smart Materials | Best Researcher Award

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Jong-Han Lee | Smart Materials | Best Researcher Award

Prof. Dr. Jong-Han Lee, Inha University, South Korea.

Dr. Jong-Han Lee 🎓 is a Professor and Head of the Department of Civil Engineering at Inha University, Korea. His expertise spans hazard risk analysis, smart materials, earthquake-resistant design, and structural resilience 🏗️. With a Ph.D. from Georgia Institute of Technology, he has held key roles in academia and industry, including POSCO E&C and Daegu University. A prolific researcher, he leads cutting-edge projects in digital twins, CFRP reinforcements, and AI-driven structural analysis 🧠🔬. He actively contributes to global conferences and editorial boards, shaping the future of civil engineering innovation 🌍.

Publivation Profiles

Scopus
Googlescholar

Education and Experience

✅ Ph.D. in Civil Engineering – Georgia Institute of Technology (2010)
✅ M.S. in Civil Engineering – KAIST, Korea (2004)
✅ B.S. in Civil Engineering – KAIST, Korea (2002)

🏛️ Professor & Head – Inha University (2024–Present)
🏛️ Associate Professor – Inha University (2019–2024)
🏛️ Assistant Professor – Inha University (2019)
🏛️ Assistant Professor – Daegu University (2013–2019)
🏗️ Section Manager – POSCO E&C (2011–2013)
🔬 Postdoctoral Researcher – Georgia Tech (2010–2011)
🔍 Graduate Research Assistant – Georgia Tech & KAIST

Suitability summary for best researcher Award

Dr. Jong-Han Lee, Ph.D., P.E., a distinguished Professor in the Department of Civil Engineering at Inha University, has been honored with the Best Researcher Award for his outstanding contributions to structural engineering, hazard risk analysis, and smart material applications. His extensive research and leadership in earthquake-resistant design, structural integrity assessment, and smart infrastructure development have significantly advanced the field, making him a deserving recipient of this prestigious accolade.

Professional Development

Dr. Lee has significantly impacted structural engineering, specializing in hazard risk mitigation, earthquake resilience, and smart materials integration 🏗️. As a conference chairman, editor-in-chief, and research leader, he actively contributes to advancing construction safety and sustainability 🌍. His leadership in Korea’s major civil engineering committees fosters global collaborations. With expertise in AI-driven diagnostics and digital twin technologies, his work bridges research and real-world applications 🤖📊. Committed to innovation, he continues to pioneer advanced construction materials, ensuring structural integrity and sustainability for future generations 🏢💡.

Research Focus

Jong-Han Lee, Ph.D., P.E., focuses on structural resilience 🏗️, hazard risk analysis 🌍, and earthquake-resistant design ⚡. His research spans smart materials and structures 🧠, integrating field data with numerical simulations 📊 to enhance structural integrity 🏢. He develops advanced monitoring systems 🔍 and digital twin technologies 🖥️ for predictive maintenance. His work on carbon fiber reinforcement 🏗️ and self-healing cementitious materials 🏠 aims at sustainable infrastructure 🌱. With expertise in high-speed rail bridge dynamics 🚄 and concrete deterioration analysis 🏚️, his research contributes to safer, longer-lasting structures in civil engineering.

Awards and Honors

🏅 Best Paper Award – Korea Society of Civil Engineers
🏅 Outstanding Research Award – Korea Concrete Institute
🏅 Excellence in Engineering Innovation – Korea Institute for Structural Maintenance
🏅 Top 10 Influential Civil Engineers in Korea – 2023
🏅 Best Young Researcher Award – Korean Institute of Bridge and Structural Engineers
🏅 Outstanding Editor Award – KSCE Journal of Civil Engineering
🏅 Government Research Grant Awards – National Research Foundation of Korea

Publication Top Noted

1️⃣ Flexural capacity of fiber reinforced concrete with a consideration of concrete strength and fiber content – Construction and Building Materials (2017) – 📖 Cited by: 173 🏗️

2️⃣ Influence of concrete strength combined with fiber content in the residual flexural strengths of fiber reinforced concrete – Composite Structures (2017) – 📖 Cited by: 148 🏢

3️⃣ Investigation of extreme environmental conditions and design thermal gradients during construction for prestressed concrete bridge girders – Journal of Bridge Engineering (2012) – 📖 Cited by: 105 🌡️🌉

4️⃣ Application of probabilistic neural networks for prediction of concrete strength – Journal of Materials in Civil Engineering (2005) – 📖 Cited by: 101 🤖🔢

5️⃣ Analysis of thermal environmental effects on precast, prestressed concrete bridge girders: temperature differentials and thermal deformations – Advances in Structural Engineering (2012) – 📖 Cited by: 95 🌞🌉

6️⃣ Crack-closing performance of NiTi and NiTiNb fibers in cement mortar beams using shape memory effects – Composite Structures (2018) – 📖 Cited by: 67 🔩🏗️

7️⃣ Experimental study of the reinforcement effect of macro-type high strength polypropylene on the flexural capacity of concrete – Construction and Building Materials (2016) – 📖 Cited by: 64 🏗️🔬

8️⃣ A vision-based dynamic rotational angle measurement system for large civil structures – Sensors (2012) – 📖 Cited by: 63 📸🏢

 

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

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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

 

Yunchao Qi | Materials Science | Best Researcher Award

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Yunchao Qi | Materials Science | China

Dr. Yunchao Qi, North University of China, China.

Dr. Yunchao Qi 🎓 is a distinguished researcher and educator specializing in engineering mechanics and materials science. He holds a Doctorate in Engineering from Harbin Institute of Technology and is currently affiliated with the School of Aerospace Engineering, North University of China. With expertise in the mechanical properties and structural design of composites and machine learning applications in materials engineering, he has published extensively in leading journals. Dr. Qi’s professional journey reflects his commitment to innovation and excellence in engineering, contributing to advancements in composites and materials science. 📚🔬

Publication Profile 

Scopus

Education and Experience

  • 🎓 Bachelor of Engineering in Engineering Mechanics, Northwestern Polytechnical University (2012–2016)
  • 🎓 Doctor of Engineering in Engineering Mechanics, Harbin Institute of Technology (2016–2022)
  • 💼 AVIC Chengdu Aircraft Industrial (Group) CO., Ltd., Chengdu, China (2023/02–2024/05)
  • 💼 North University of China, Taiyuan, China (2024/05–Present)

Summary Suitability For the Award

Dr. Yunchao Qi is an exemplary candidate for the Best Researcher Award, given his groundbreaking contributions to the field of engineering mechanics, particularly in the mechanical properties characterization and structural design of composites. His research seamlessly integrates advanced methodologies, such as machine learning, into materials engineering, significantly advancing both academic understanding and practical applications.

Professional Development

Dr. Yunchao Qi has actively developed his expertise through interdisciplinary research combining materials science, mechanical properties, and machine learning applications. 🌐 His innovative approaches have advanced the understanding of composites, including needled composites, their structural design, and thermal optimization using AI techniques. ✨ With over eight high-impact publications in prestigious journals and a solid academic foundation, Dr. Qi’s work bridges theory and application, enabling practical solutions in aerospace and material engineering. 🚀 His contributions to academia and industry highlight his dedication to fostering progress in mechanical engineering and composites. 🛠️📖

Research Focus

Dr. Yunchao Qi’s research centers on the mechanical properties characterization and structural design of composites, including needled and 3D fiber-reinforced materials. 📏🔍 He also explores machine learning applications in materials engineering, such as designing thermal cloaks with isotropic materials and optimizing composite structures. 🤖 His work integrates traditional engineering principles with cutting-edge AI methods to enhance the performance, reliability, and efficiency of advanced materials, significantly contributing to aerospace and materials science. ✈️🔬 Dr. Qi’s research showcases a fusion of innovation, sustainability, and practical implementation. 🌱

Awards and Honors

  • 🏆 Best Paper Award in Composite Materials at the National Engineering Conference, 2022.
  • 🥇 Recognized as “Outstanding Young Researcher” by Harbin Institute of Technology, 2020.
  • 📜 Recipient of the National Doctoral Research Fellowship, China, 2018–2021.
  • 🌟 Excellence in Innovation Award for Machine Learning Applications in Engineering, 2023.

Publication Top Notes 

  • 📖 In-plane tensile strength for needle-punched composites prepared by different needling processes, 2023, Chinese Journal of Materials Research, 1 citation.
  • 📖 Process design of variable fiber content in layers of needle-punched preforms, 2023, Journal of Materials Science.
  • 📖 Determination of needling process satisfying stiffness requirements of 3D needled composites, 2022, Polymer Composites, 5 citations.
  • 📖 Design of thermal cloaks with isotropic materials based on machine learning, 2022, International Journal of Heat and Mass Transfer, 21 citations.
  • 📖 An improved analytical method for calculating stiffness of 3D needled composites with different needle-punched processes, 2020, Composite Structures, 24 citations.
  • 📖 Optimization of process parameters of three-dimensional needled preforms for C/C-SiC composites, 2020, Journal of Materials Engineering, 5 citations.
  • 📖 The optimization of process parameters of three-dimensional needled composites based on ANN and GA, 2019, ICCM International Conferences on Composite Materials.

 

Cláudia Antunes | Materials Science | Best Researcher Award

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Cláudia Antunes | Materials Science | Best Researcher Award

Mrs. Cláudia Antunes, University of Beira Interior, Portugal.

Publication profile

Googlescholar

Education and Experience

  • 🎓 2021: Bachelor’s degree in Chemistry, University of Porto.
  • 📖 2022-present: Pursuing a Master’s degree in Industrial Chemistry at the University of Beira Interior.
  • 📝 2023: Published research on green composites in the journal Polymers.

Suitability For The Award

Cláudia Sofia Baptista Antunes is a highly suitable candidate for the Best Researcher Award, based on her strong academic background, innovative research, and contributions to the field of materials science. As a master’s student at the University of Beira Interior, her research focus on natural fiber reinforced composites, particularly green epoxy composites made from animal fibers, aligns with contemporary trends toward sustainable materials. Her publication in the journal Polymers, titled “Mechanical Behaviour of Green Epoxy Composites Reinforced with Sheep and Dog Wool from Serra Da Estrela”, is a testament to the quality and relevance of her work.

Professional Development 

Awards and Honors

  • 🏆 Award Category Preference: Best Research Scholar Award.

Publications

  • 📄 “Temporal data mining: An overview” by CM Antunes, AL Oliveira, KDD Workshop on Temporal Data Mining, 2001 – Cited by 493 📈
  • 📄 “Generalization of pattern-growth methods for sequential pattern mining with gap constraints” by C Antunes, AL Oliveira, Machine Learning and Data Mining in Pattern Recognition, 2003 – Cited by 109 📈
  • 📄 “A structured view on pattern mining-based biclustering” by R Henriques, C Antunes, SC Madeira, Pattern Recognition, 2015 – Cited by 87 📈
  • 📄 “Acquiring background knowledge for intelligent tutoring systems” by C Antunes, Educational Data Mining, 2008 – Cited by 69 📈
  • 📄 “Sequential pattern mining algorithms: Trade-offs between speed and memory” by C Antunes, AL Oliveira, 2nd Workshop on Mining Graphs, Trees and Sequences, 2004 – Cited by 56 📈
  • 📄 “Anticipating Students’ Failure As Soon As Possible” by C Antunes, Handbook of Educational Data Mining, 2010 – Cited by 36 📈
  • 📄 “Predicting teamwork results from social network analysis” by PT Crespo, C Antunes, Expert Systems, 2015 – Cited by 31 📈
  • 📄 “Accessing emotion patterns from affective interactions using electrodermal activity” by R Henriques, A Paiva, C Antunes, Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013 – Cited by 31 📈

 

Haiyun Wang | Materials Science | Best Researcher Award

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Haiyun Wang | Materials Science | Best Researcher Award

Dr. Haiyun Wang , University of Sheffield, China.

Dr. Haiyun Wang is an accomplished materials scientist with a PhD in Engineering Materials from the University of Sheffield, UK (2019). Specializing in aerospace materials and composite materials, she has made significant contributions to microstructure control, fatigue life prediction, and atomic-scale studies of advanced materials. With a strong background in designing bulk metallic glass composites and working on cutting-edge company projects, she is known for her innovative approach to material engineering. Dr. Wang’s research focuses on developing and optimizing materials for industrial applications, making her a key contributor to advancements in materials science. 🌟🔬

📚🔬Publication Profile

Orcid

Suitability For The Award

Haiyun Wang is a highly deserving candidate for the Best Researcher Awards, having made significant contributions to the field of engineering materials, particularly in composite materials and metallic glasses. With a PhD in Engineering Materials from the University of Sheffield, he possesses a strong academic foundation, complemented by a Master’s degree in Aerospace Materials.

Education & Experience:

  • 🎓 PhD: Engineering Materials, University of Sheffield, UK (2019)
  • 🎓 MSc: Aerospace Materials, University of Sheffield, UK (2013)
  • 🧑‍🔬 Extensive experience in material microstructure analysis and fatigue life modeling
  • ⚙️ Specialized in high-strength aluminum alloys and bulk metallic glass composites
  • 🏭 Collaborated on industry-specific projects involving powder metallurgy and 3D printing

Professional Development

Dr. Haiyun Wang has been a key player in several high-impact research projects, focusing on material microstructures, fatigue prediction models, and advanced composite materials. She developed new techniques to optimize the mechanical properties of SiCp/Al composites and CuZr-based bulk metallic glass composites, enhancing their industrial applicability. Her experience spans atomic-scale research, heat treatment processes, and dynamic deformation damage analysis. Dr. Wang’s continuous learning and dedication to her field have equipped her with cutting-edge expertise, making her a significant force in materials science and engineering. 💡🔧

Research Focus

Dr. Haiyun Wang’s research focuses on materials science, with a specialization in composite materials and bulk metallic glass composites. Her work on SiCp/Al composites involves microstructure control and fatigue life prediction, while her projects on CuZr-based alloys explore phase separation and mechanical property optimization. She also delves into high-strength aluminum alloys, improving their microstructure through processes like Selective Laser Melting (SLM). With a strong foundation in atomic-scale studies and material evolution, her research has critical applications in aerospace and industrial manufacturing. 🧬⚛️

Awards and Honors 🏆✨

  • 🏅 Recognized for groundbreaking research in composite materials
  • 🌟 Best Dissertation Award, PhD Thesis on SiCp/Al Composites
  • 🏆 Published in leading journals on materials science
  • 🔬 Awarded for contributions to company projects on bulk metallic glasses
  • 🥇 Recipient of scholarships during MSc and PhD studies

Publications 📚📝

Conclusion

Haiyun Wang’s diverse research portfolio demonstrates a profound understanding of material behavior and innovative approaches to material design and processing. His contributions advance academic knowledge and have practical implications for industries relying on high-performance materials. Given his impactful research, dedication to innovation, and commitment to enhancing material properties, he stands out as a leading figure in the field of engineering materials, making him an exemplary candidate for the Best Researcher Awards.

Assoc Prof Dr. SEON CHIL KIM | polymeric materials Award | Best Researcher Award

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Assoc Prof Dr. SEON CHIL KIM | polymeric materials Award | Best Researcher Award

Assoc Prof Dr. SEON CHIL KIM , Department of Biotechnology, Keimyung University , South Korea

👨‍🔬 Seon Chil Kim, currently serving as Associate Professor and Chair of the Department of Biomedical Engineering at Keimyung University in Daegu, Republic of Korea, is a distinguished figure in the fields of radiation shielding, medical devices, and medical informatics. With a robust academic background, Dr. Kim earned his BS in Physics from Gachon University, followed by an MS in Medical Informatics from Korea University and a PhD in Medical Informatics from Kyungpook University.

Dr. Kim’s professional journey includes significant roles such as Director of the u-Health R&D Center and Director of the Health and Medical Research Institute at Daegu Health College, where he made substantial contributions to healthcare innovation and technology integration. He has also held positions at various prestigious institutions, including Seoul Asan Medical Center and Daegu Health College, where he served as Professor of Radiology and later Director of the Center for Advanced Technology in Testing Usability (CATT) at Keimyung University.

Profile :

Scopus

Orcid

🎓 Education:

  • Bachelor of Science in Physics
    • Gachon University College of Natural Sciences, Feb. 2003
  • Master of Science in Medical Informatics
    • Korea University, Feb. 2003
  • Doctor of Philosophy (PhD) in Medical Informatics
    • Kyungpook National University, Dec. 2009

👨‍💼 Career Highlights:

  • Radiologist
    • Seoul Asan Medical Center, 1997-2001
  • Senior Manager, PACS (Medical Image Analysis) Development Team
    • TIS, 2001-2003
  • Project Team Leader, Simulation Hospital
    • Daegu Health College, 2007-2008
  • Director, u-Health R&D Center
    • Daegu Health College, 2008
  • Head of Integrated Health Education Team
    • Daegu Health College, 2010-2011
  • Deputy Director, Elderly-Friendly Products and Services Integrated Experience Center Establishment Project
    • Ministry of Knowledge Economy, 2007-2008
  • Director, Next Generation IT Infrastructure Development Project
    • Ministry of Knowledge Economy, 2008-2009
  • Director, Daegu Senior Experience Center
    • 2011-2014
  • Director, Health and Medical Research Institute
    • Daegu Health College, 2014
  • Professor, Department of Radiology
    • Daegu Health College, Mar. 2003 – Aug. 2015
  • Director, Center for Advanced Technology in Testing Usability (CATT)
    • Keimyung University, 2015-2016
  • Director, Future Industry Strategy Research Center
    • Keimyung University, 2016-2017
  • Director, Future Usability Evaluation Center
    • Ministry of Industry, 2016-2017
  • Adjunct Professor, Department of Medicine
    • College of Medicine, Keimyung University, 2023-Present
  • Associate Professor and Chair, Department of Biomedical Engineering
    • College of Engineering, Keimyung University, Sep. 2015-Present

🏆 Awards and Recognitions:

  • Minister of Health and Welfare Commendation, 2021, 2022
  • Mayor of Daegu Commendation, 2012
  • Commissioner of Small and Medium Business Administration Commendation, 2014

📚 Publications and Contributions:

  • 33 Patents
  • 38 International Papers

🌐 Professional Affiliations:

  • Medical Devices Review Committee Member, 2009-2010, 2019-Present
  • Academic Director, Korean Society of Mechanical Engineers, 2019-Present
  • Academic Director, Korea Convergence Society, 2019-Present
  • Business Director, Korean Society of Rehabilitation Robotics, 2019-Present
Publications Top Notes 📄

K-WISC-V Processing Speed Index Analysis to Verify the Effectiveness of ADHD Symptom Improvement Using Pediatric Digital Content

Evaluation of Shielding Performance of Gamma Ray Shielding Tungsten Polymer Composite with LBL-Type Layered Structure

The Development of a Composite Thin Film Barrier of Tungsten Fe3O4-rGO (FerGO) for the Radiation Shielding of Medical Personnel

Development of a Dog Health Score Using an Artificial Intelligence Disease Prediction Algorithm Based on Multifaceted Data

Fucoxanthin Abrogates Ionizing Radiation-Induced Inflammatory Responses by Modulating Sirtuin 1 in Macrophages

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

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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

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