Huakun Bi | Electrical Engineering | Best Researcher Award

Dr. Huakun Bi| Electrical Engineering
|Best Researcher Award

Lecturer at School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, China.

 

Dr. Huakun Bi, a Lecturer at the School of Electrical and Automation Engineering, Shandong University of Science and Technology, is a prolific researcher in power electronics. He earned his Ph.D. from Tianjin University in 2020 and has since demonstrated significant academic and industrial contributions. With 17 research papers—12 SCI and 15 EI indexed—and multiple prestigious research projects, he has become a leading expert in DC-DC converters, electric vehicles, and DC microgrids. Dr. Bi’s innovative designs have enhanced voltage regulation and energy efficiency in electric vehicle systems. His high citation count, active role as a journal reviewer, and leadership in government- and industry-funded projects reflect outstanding research impact and make him an excellent candidate for the Best Researcher Award.


🌍 Professional Profile:

Scopus

Orcid

🏆 Suitability for the Best Researcher Award

 

Dr. Shahrzad Falahat exemplifies excellence in applied AI research, making her a highly suitable candidate for the Best Researcher Award. With a Ph.D. in Computer Vision and over five years of impactful industrial experience, she has led innovative projects that address critical real-world challenges. Her development of AI-powered fault detection software for power transmission lines reduced outages by 70%, while her automated cartography system cut map production time by 80%. She combines deep technical expertise in Python, PyTorch, TensorFlow, and embedded AI with strong project management and cross-sector collaboration. Her work integrates research and practice, resulting in scalable, intelligent solutions with tangible societal benefits, positioning her as a leader in the field of AI and computer vision.

🎓 Education 

Dr. Huakun Bi earned his Ph.D. in Electrical Engineering from Tianjin University, Tianjin, China, in 2020, where he conducted advanced research in power conversion technologies and electric transportation systems. His doctoral work focused on the design and optimization of DC-DC converters, especially for fuel cell and electric vehicle applications. His academic foundation includes rigorous training in circuit theory, control systems, and energy systems. During his doctoral studies, he led one independent innovation project and contributed to several national-level research initiatives. His education equipped him with a strong theoretical and practical understanding of modern electrical systems, laying the groundwork for his impactful contributions as a researcher and lecturer at the Shandong University of Science and Technology.

🏢 Work Experience 

Dr. Huakun Bi currently serves as a Lecturer at the School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao. Since earning his Ph.D. in 2020, he has taken on leadership roles in academic and industrial research, including projects funded by the Shandong Natural Science Foundation, State Grid Corporation of China, and Huaneng Group. He has contributed to three additional school-enterprise cooperation projects. Dr. Bi also acts as a dedicated reviewer for five international journals in electrical engineering. His dual involvement in academia and applied industrial projects demonstrates a versatile and impactful career. His research work is not only academically significant but also practically relevant, bridging the gap between theoretical advancements and real-world implementation.

🏅 Awards and Honors 

Dr. Huakun Bi’s research excellence is reflected in the high citation of his publications, notably in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Vehicular Technology. His 2019 publication has been cited 77 times, showcasing his work’s global impact. He has received recognition for his leadership in innovation projects at Tianjin University and has earned competitive funding from the Shandong Provincial Natural Science Foundation. Dr. Bi’s sustained contribution to national and industry-funded projects highlights the practical value of his research. His selection as a peer reviewer for multiple international journals further underscores his expertise and reputation in the field of power electronics and DC microgrids. These honors position him strongly for research excellence awards.

🔬 Research Focus 

Dr. Huakun Bi’s research primarily targets high-performance DC-DC converters, energy-efficient electric vehicles, and stable DC microgrid systems. His work addresses core challenges in power electronics, including input current ripple reduction, wide voltage-gain range, and voltage stress mitigation. By introducing advanced converter topologies such as capacitor-clamped and dual-mode negative output converters, he enhances performance for fuel cell and EV applications. Dr. Bi has also contributed significantly to government- and industry-funded projects, applying theoretical innovations to practical systems. His papers are frequently cited in top journals, and his designs serve critical roles in electric transportation and energy systems. Through pioneering control methods and hardware design strategies, Dr. Bi is driving forward the next generation of clean, efficient energy solutions.

📊 Publication Top Notes:

  1. Huakun Bi, Zonglei Mou, Yu Chen
    “Common Grounded Wide Voltage-Gain Range DC–DC Converter With Zero Input Current Ripple and Reduced Voltage Stresses for Fuel Cell Vehicles”
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2023
    DOI: 10.1109/TIE.2022.3172767
    Citations: 23

  1. Huakun Bi, Bo Li, Ping Wang, Zhishuang Wang, Xiaochen Ma
    “A New Coupled-Inductor-Based High-Gain Interleaved DC-DC Converter With Sustained Soft Switching”
    Journal: IEEE Transactions on Vehicular Technology
    Year: 2021
    DOI: 10.1109/TVT.2021.3083317
    Citations: Not specified

  1. Huakun Bi, Cong Jia
    “Common Grounded Wide Voltage‐Gain Range DC–DC Converter for Fuel Cell Vehicles”
    Journal: IET Power Electronics
    Year: 2019
    DOI: 10.1049/iet-pel.2018.6234
    Citations: 16

  1. Guidan Li, Zhe Yang, Bin Li, Huakun Bi
    “Power Allocation Smoothing Strategy for Hybrid Energy Storage System Based on Markov Decision Process”
    Journal: Applied Energy
    Year: 2019
    DOI: 10.1016/j.apenergy.2019.03.001
    Citations: Not specified

  1. Huakun Bi, Ping Wang, Yu Che
    “A Capacitor Clamped H-Type Boost DC–DC Converter With Wide Voltage-Gain Range for Fuel Cell Vehicles”
    Journal: IEEE Transactions on Vehicular Technology
    Year: 2019
    DOI: 10.1109/TVT.2018.2884890
    Citations: 77

Xin Bai | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Xin Bai | Mechanical Engineering
|Best Researcher Award

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

 

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

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

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

🎓 Education 

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

🏢 Work Experience 

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

🏅 Awards and Honors 

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

🔬 Research Focus 

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

📊 Publication Top Notes:

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

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

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

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

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

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

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

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

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

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

Mehmet Senturk |Structural Engineering | Best Researcher Award

Dr. Mehmet Senturk | Structural Engineering
| Best Researcher Award

 

Tutor in Engineering at Coventry University, United Kingdom .

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

🌍 Professional Profile:

Orcid 

Scopus

Google scholar

🏆 Suitability for the Best Researcher Award

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

🎓 Education 

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

🏢 Work Experience 

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

🏅 Awards and Honors 

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

🔬 Research Focus 

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

📊 Publication Top Notes:

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

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

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

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

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

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