Liyun Li | Seismic Analysis | Best Researcher Award

Published On 08/03/202508/03/2025 by ScienceFather

Liyun Li | Seismic Analysis | Best Researcher Award

Prof. Liyun Li, Beijing University of Technology, China.

Professor Liyun Li is a distinguished scholar in Civil Engineering at Beijing University of Technology (BJUT), specializing in seismic analysis, underground construction, and geotechnical engineering. With a Ph.D. from Beijing University of Technology, he has contributed significantly to soil-structure interaction and slope protection. His expertise spans over 25 years, including research visits to the University of Pittsburgh, USA. As a member of SSC, ISSMGE, and CISMGE, he actively advances geotechnical engineering. His research has greatly impacted earthquake resilience and underground infrastructure, making him a leading figure in structural and geotechnical studies. 🌍🔬

Publication Profile

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Education & Experience

📚 Education:
✔ 2003–2007: Ph.D. in Civil Engineering, Beijing University of Technology
✔ 2001–2003: M.Sc., Institute of Engineering Mechanics, China Earthquake Administration
✔ 1992–1996: B.Sc., East China Institute of Technology

🔬 Professional Experience:
✔ 2021–Present: Professor, College of Architecture & Civil Engineering, BJUT
✔ 2013–2014: Visiting Scholar, University of Pittsburgh, USA
✔ 2007–2021: Associate Professor, College of Architecture & Civil Engineering, BJUT
✔ 1996–2001: Assistant Professor, Dept. of Geo-science, East China Institute of Technology

Suitability Summary

Professor LI Liyun, a distinguished expert in Civil Engineering, is a highly deserving recipient of the Best Researcher Award for his outstanding contributions to seismic analysis, underground engineering, and geotechnical research. As a Professor at Beijing University of Technology, his work has significantly advanced the understanding of soil-structure interaction, underground construction, and slope protection techniques. With a strong academic foundation and over two decades of research experience, Professor Li’s studies have provided critical insights into seismic safety, structural resilience, and ecological reconstruction, directly benefiting both academia and industry.

Professional Development

Professor Liyun Li is an esteemed expert in civil and geotechnical engineering, with a career dedicated to earthquake-resistant underground structures. His research focuses on seismic resilience, soil-structure interaction, and slope protection, contributing to safer and more sustainable infrastructure. As a visiting scholar at the University of Pittsburgh, he collaborated on advanced geotechnical modeling. His 25+ years of teaching and research have influenced numerous engineering projects in China and beyond. His active participation in international engineering societies ensures that his work aligns with global advancements in geotechnical engineering and underground construction. 🏗️🔬🌍

Research Focus

Professor Liyun Li specializes in seismic analysis of underground structures, ensuring that critical infrastructure can withstand earthquakes and natural disasters. His work explores soil-structure interaction, essential for designing resilient tunnels, foundations, and underground facilities. He is also deeply involved in slope protection and ecological reconstruction, integrating sustainability into geotechnical solutions. His research supports urban development, disaster mitigation, and infrastructure resilience, making significant contributions to civil and earthquake engineering. Through international collaborations, he advances new construction methodologies that enhance structural safety and environmental sustainability. 🌍🏢🌱

Awards & Honors 🏆

✔ Recognized Expert in Seismic & Underground Engineering 🏗️
✔ Visiting Scholar at University of Pittsburgh, USA 🌍
✔ Key Contributor to China’s National Geotechnical Projects 🏢
✔ Active Member of SSC, ISSMGE & CISMGE 🏅
✔ Multiple Teaching & Research Excellence Awards at BJUT 📚

Publication Top Notes

Investigation on Response of Site of Typical Soil–Rock Composite Strata in Changchun Induced by Shield Construction of Parallel Twin Tunnels, Applied Sciences, 2024.

A Data-Driven Indirect Approach for Predicting the Response of Existing Structures Induced by Adjacent Excavation, Applied Sciences, 2023.

Akeem Kareem | Mechanical Engineering | Best Researcher Award

Published On 22/11/202422/11/2024 by ScienceFather

Akeem Kareem | Mechanical Engineering | Best Researcher Award

Mr. Akeem Kareem, Kumoh National Institute of Technology, South Korea.

Akeem Kareem, MNSE, MIAENG, is a dynamic researcher and engineer specializing in R&D on Digital Twin, Metaverse (VR & AR), and Prognostics and Health Management (PHM). Currently pursuing a Doctor of Science in Mechanical Engineering at Kumoh National Institute of Technology, South Korea, he brings extensive expertise in data-driven AI processes and 3D animation. With professional stints in mechanical engineering, facilities management, and data science, Akeem combines technical precision with a passion for innovation. His multilingual fluency in Yoruba and English, certifications in Machine Learning, and published works highlight his commitment to leveraging technology for groundbreaking solutions.

Publication profile

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Education

Doctor of Science, Mechanical Engineering – Kumoh National Institute of Technology (2023–2026)
Masters, Mechanical Engineering – Kumoh National Institute of Technology (2021–2023)
BEng, Mechanical Engineering (Thermofluid Option) – University of Ilorin, Nigeria (2013–2017)
OND, Mechanical Engineering – Kwara State Polytechnic, Nigeria (2009–2011)

Experience

Research and Development Specialist – FD&P (2023–Present)
Graduate Research Assistant – Kumoh National Institute of Technology (2021–2023)
Lead Project Manager (Facilities) – James Cubitt Facilities Managers (2018–2021)
Graduate Mechanical Engineer – Dangote Group (2012–2013)
Automotive Technician – CFAO CICA Nig Limited (2011–2012)

Suitability For The Award

Mr. Akeem Kareem is a strong candidate for the Best Researcher Award, showcasing a multidisciplinary expertise in semiconductor engineering, data-driven processes, and mechanical systems. His innovative contributions span Digital Twins, Metaverse technologies, reinforcement learning, and predictive health monitoring (PHM). With an impressive academic and professional track record, including publications in advanced areas of fault diagnostics and computational analysis, Mr. Kareem demonstrates exceptional research acumen and industry impact.

Professional Development

Akeem Kareem is dedicated to professional growth, showcasing expertise in machine learning, electromechanical engineering, and data science. With certifications in Machine Learning with Python, Introduction to Data Science, and Electromechanical Engineering, he bridges engineering solutions with data-driven insights. Akeem actively contributes to publications in AI-based diagnostics, leveraging supervised learning and FEA assessments. His proficiency in developing robust AI frameworks and commitment to continuous learning position him as a catalyst for innovative solutions in engineering, digital twin technology, and AR/VR applications.

Research Focus

Akeem Kareem’s research emphasizes advanced engineering systems integrating Digital Twin, Metaverse technologies (VR & AR), and Prognostics and Health Management (PHM). His expertise lies in developing data-driven fault diagnostics, reliability enhancement for electronic components, and AI-powered frameworks for autonomous systems. With a focus on machine learning and reinforcement deep learning, he seeks to revolutionize industries through predictive analytics and system optimization. By combining academic rigor with real-world applications, Akeem is driving innovation at the intersection of engineering and digital transformation.

Awards and Honors

Certified Graduate Mechanical Engineer – Dangote Group
Recognized for contributions to facilities management – James Cubitt Facilities Managers
Multiple publications in AI and diagnostics frameworks
Certifications in Machine Learning, Electromechanical Engineering, and Data Science
Research contributions to enhancing AI reliability in harsh environments

Publications

“A Comparative Data Augmentation-Assisted Diagnostic Framework for Industrial Centrifugal Pumps”
“A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment”
“Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals”
“Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection”
“Hyperelastic and Stacked Ensemble-Driven Predictive Modeling of PEMFC Gaskets Under Thermal and Chemical Aging”
“Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps”
“ANN-based Reliability Enhancement of SMPS Aluminium Electrolytic Capacitors in Cold Environments” (2023)
“ANN-Based Reliability Enhancement of SMPS Aluminum Electrolytic Capacitors in Cold Environments” (2023)

Manpreet Kaur | Surface Engineering | Best Researcher Award

Published On 22/10/202422/10/2024 by ScienceFather

Manpreet Kaur | Surface Engineering | Best Researcher Award

Dr. Manpreet Kaur, Baba Banda Singh Bahadur Engineering College, India.

Dr. Manpreet Kaur is an Associate Professor in the Mechanical Engineering Department at Baba Banda Singh Bahadur Engineering College. With over 25 years of teaching experience, her expertise lies in surface engineering, thermal spray coatings, and high-temperature corrosion. She holds a Ph.D. in Mechanical Engineering from Punjab Technical University, where her research was recognized with the Best PhD Thesis Award by NACE International. Dr. Kaur has published extensively, contributing significantly to her field through various projects and research initiatives. Her commitment to advancing engineering education and research has made her a respected figure in her discipline.

Publication profile

Orcid

Education and Experience

Ph.D. in Mechanical Engineering
- Punjab Technical University, India (August 2011)
- Specialization: Surface Engineering
- Awarded Best PhD Thesis by NACE International
M.E. in Industrial Metallurgy
- Panjab University, Chandigarh, India (August 2000)
- 61.26%, First Division
B.E. in Mechanical Engineering
- Punjabi University, Patiala, India (May 1997)
- 71.59%, First Division
Associate Professor
- BBSB Engineering College (June 2016 – Present)
- 8 years of service
Assistant Professor (Selection Grade)
- BBSB Engineering College (July 2009 – May 2016)
- 6 years, 11 months
Senior Lecturer
- BBSB Engineering College (April 2006 – July 2009)
- 3 years, 3 months
Lecturer
- BBSB Engineering College (January 1999 – March 2006)
- 7 years, 3 months
Guest Lecturer
- PEC, Chandigarh (Sept 1998 – Nov 1998)
- 2 months

Suitability For The Award

Dr. Manpreet Kaur is a highly accomplished academic and researcher in the field of Mechanical Engineering, specializing in Surface Engineering, Thermal Spray Coatings, and high-temperature corrosion. With nearly 26 years of experience in teaching and research, she has made significant contributions to the understanding and application of protective coatings, making her a strong candidate for the Best Researcher Award.

Professional Development ()

Dr. Kaur has significantly contributed to research and innovation in engineering education. She currently leads the Research & Innovation Centre (RIC) at her college, overseeing various research initiatives and projects. Additionally, she heads the Alumni Cell, fostering connections between graduates and the institution. Her administrative roles have involved enhancing examination processes as Deputy Controller of Examinations. Through her leadership and dedication, she continues to promote academic excellence and facilitate meaningful research collaborations.

Research Focus

Dr. Manpreet Kaur specializes in surface engineering, focusing on thermal spray coatings, high-temperature corrosion, erosion, and wear. Her research aims to develop protective coatings to enhance material performance under extreme conditions. She has led multiple research projects funded by prestigious organizations, contributing to advancements in the field. With 46 publications, including 24 in SCI journals, her work significantly impacts mechanical engineering, particularly in improving the durability and efficiency of engineering materials. Dr. Kaur’s research not only addresses current challenges in the industry but also paves the way for future innovations.

Awards and Honors ()

Best PhD Thesis Award
- NACE International Gateway India Section
Best Researcher Awards
- Multiple recognitions for contributions to engineering research
Recognition for Contributions
- Received accolades for ongoing projects and research initiatives
Publication Recognition
- Acknowledged for significant contributions to multiple international journals

Publications

Sliding wear behavior of plasma sprayed 65% (NiCrSiFeBC)–35% (WC–Co) coating at elevated temperatures (2020) – [Cited by: 6]
Wear and friction characteristics of atmospheric plasma sprayed Cr3C2–NiCr coatings (2020) – [Cited by: 2]
Elevated-Temperature Wear Study of HVOF spray Cr3C2–NiCr-Coated Die Steels (2020) – [Cited by: 7]
High temperature tribological performance of atmospheric plasma sprayed Cr3C2-NiCr coating on H13 tool steel (2020) – [Cited by: 3]
Slurry jet erosion performance of high-velocity flame-sprayed nano mixed Ni-40Al2O3 coating in aggressive environment (2019) – [Cited by: 5]
High-temperature wear behaviour of HVOF sprayed 65% (NiCrSiFeBC)−35% (WC–Co) coating (2019) – [Cited by: 4]
Wear and Friction Behavior of NiCrBSi Coatings at Elevated Temperatures (2019) – [Cited by: 3]
Slurry erosion performance study of high velocity flame sprayed Ni–Al2O3 coating under hydro accelerated conditions (2019) – [Cited by: 2]
High-Temperature Exposure Studies of HVOF-Sprayed Cr3C2-25(NiCr)/(WC-Co) Coating (2016) – [Cited by: 1]
Surface engineering analy

Prof. Liyun Li, Beijing University of Technology, China.

Publication Profile

Education & Experience

Suitability Summary

Professional Development

Research Focus

Awards & Honors 🏆

Publication Top Notes

Mr. Akeem Kareem, Kumoh National Institute of Technology, South Korea.

Publication profile

Education

Experience

Suitability For The Award

Professional Development

Research Focus

Awards and Honors

Publications

“A Comparative Data Augmentation-Assisted Diagnostic Framework for Industrial Centrifugal Pumps”

“A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment”

“Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals”

“Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection”

“Hyperelastic and Stacked Ensemble-Driven Predictive Modeling of PEMFC Gaskets Under Thermal and Chemical Aging”

“Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps”

“ANN-based Reliability Enhancement of SMPS Aluminium Electrolytic Capacitors in Cold Environments” (2023)

“ANN-Based Reliability Enhancement of SMPS Aluminum Electrolytic Capacitors in Cold Environments” (2023)

Dr. Manpreet Kaur, Baba Banda Singh Bahadur Engineering College, India.

Publication profile

Education and Experience

Suitability For The Award

Professional Development ()

Awards and Honors ()

Publications