Hongfei Yang | Engineering | Best Researcher Award

Assoc Prof Dr. Hongfei Yang | Engineering | Best Researcher Award

Shihezi University | China

Author Profile

Scopus

Orcid

๐ŸŒฑ Early Academic Pursuits

Dr. Hongfei Yangโ€™s academic journey is marked by an impressive foundation in engineering and scientific disciplines. He earned his Bachelor's degree in Mechanical Design, Manufacturing, and Automation from Dalian University in 2016. Following this, he pursued his Masterโ€™s in Mechanical Design and Theory at Jilin University, complemented by a joint training program at Cambridge University. These early years laid a solid groundwork in mechanical design, equipping him with a unique blend of theoretical knowledge and practical skills.

๐Ÿ’ผ Professional Endeavors

Currently an Associate Professor in Electronic Information Engineering at Shihezi University, Dr. Yang has dedicated his career to advancing precision engineering and measurement technology. His experience includes a rigorous doctoral program in Testing and Measurement Technology at Jilin University, where he focused on developing innovative solutions in instrument technology. Dr. Yang's professional path reflects his commitment to impactful research and teaching in electronic and mechanical engineering fields.

๐Ÿ“š Contributions and Research Focus

Dr. Yangโ€™s research is distinguished by its focus on magnetic sensing and machine vision, especially in applications for unstructured environments and deep-earth observations. As the first author of 11 academic papers with a cumulative impact factor of 59.4, he has made substantial contributions to journals like IEEE Transactions on Geoscience and Remote Sensing and IEEE Sensors Journal. His work addresses pressing challenges in instrument measurement, such as developing methods for identifying rail defects and creating robust magnetic sensing systems. His expertise extends to multiple patents, demonstrating practical solutions for applications ranging from long-term monitoring in extreme environments to automated mushroom collection devices.

๐Ÿ† Accolades and Recognition

Dr. Yangโ€™s contributions have been recognized with numerous honors. Among them are the prestigious National Scholarship for Doctoral Students in China, awarded by the Ministry of Education, and Jilin University's First-Class Doctoral Excellence Scholarship. His scholarly achievements and dedication have earned him the title of "Outstanding Graduate" and the Geological Instrument Scholarship from Jilin University. These accolades reflect his exceptional research performance and his ongoing impact in his field.

๐ŸŒ Impact and Influence

Dr. Yangโ€™s influence extends beyond academia, as he actively participates in shaping engineering knowledge as a reviewer for top journals like IEEE Transactions on Instrumentation and Measurement. His work on projects, such as the National Natural Science Foundation of China project on environmental recognition for engineering vehicles, has pushed the boundaries of how advanced data processing can improve machine vision in complex environments. His contributions to deep borehole observation technology are advancing our understanding of deep-earth environments, with applications in various scientific and industrial domains.

๐Ÿ… Legacy and Future Contributions

Dr. Yangโ€™s career represents a blend of innovation, interdisciplinary expertise, and real-world applications. His research in precision engineering, machine vision, and magnetic sensing continues to inspire advancements in technology and scientific exploration. His legacy lies in both his published works and his commitment to teaching, mentoring, and advancing engineering research. Looking forward, Dr. Yang is set to further enrich the field of electronic information engineering, leaving an enduring impact on the next generation of scientists and engineers.

 

Publications


๐Ÿ“ SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Journal: Agriculture
Year: 2024


๐Ÿ“ Neural Network-Based 3D Point Cloud Detection of Targets in Unstructured Environments

Authors: D. Wang, H. Yang, Z. Yao, Z. Chang, Y. Wang
Journal: Advances in Mechanical Engineering
Year: 2024


๐Ÿ“ MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Authors: D. Bai, L. Cheng, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024


๐Ÿ“ Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

Authors: D. Bai, Y. Zhou, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2024


๐Ÿ“ EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

Authors: J. Hu, H. Yang, J. He, D. Bai, H. Chen
Journal: IEEE Access
Year: 2024


 

Zulkifl Ahmed | Engineering | Excellence in Research Award

Assist Prof Dr. Zulkifl Ahmed | Engineering | Excellence in Research Award

Northeastern University, Shenyang | Pakistan

Author Profile

Orcid

Early Academic Pursuits ๐ŸŽ“

Dr. Zulkifl Ahmed embarked on his academic journey in civil engineering, laying a solid foundation for his future endeavors. He completed his Bachelor of Science in Civil Engineering at the Science Institute of Technology, Lahore, Pakistan, in 2013, achieving an impressive 85.5%. Following this, he pursued a Master's in Building and Architectural Engineering at Bahauddin Zakariya University (BZU), Multan, where he excelled with a score of 79%. His passion for geotechnical engineering led him to Northeastern University in Shenyang, China, where he completed his Ph.D. from 2018 to 2022 and is currently engaged in postdoctoral research from 2023 to 2025.

Professional Endeavors ๐Ÿ’ผ

Dr. Ahmed has accumulated significant professional experience in academia and the engineering industry. He currently serves as an Assistant Professor in the Department of Civil Technology at MCUT University in DG Khan since December 2021. Prior to this, he was a lecturer at Northeastern University in China, where he contributed to various research and teaching activities. His experience also includes working as a design engineer for Taisei Corporation, enhancing his practical understanding of engineering principles. Additionally, he undertook internships on significant projects like the Metro Bus project in Multan.

Contributions and Research Focus ๐Ÿ”

Dr. Ahmed's research primarily focuses on geotechnical engineering, particularly the application of microbial-induced calcium carbonate (CaCO3) precipitation for reinforcing rock structures. His projects include evaluating the mechanical properties of rock, analyzing slope stability, and innovative designs for sustainable building materials. His work has culminated in numerous research papers and books, reflecting his commitment to advancing knowledge in civil and environmental engineering.

Accolades and Recognition ๐Ÿ†

Dr. Ahmed's dedication to his field has earned him numerous accolades. He was recognized as an "Excellent Student of the Year" at Northeastern University multiple times, and he received the Punjab Education Endowment Fund Scholarship during his Master's studies. As a testament to his organizational skills, he served as the conference convener and secretary for the 1st International Conference on Civil and Environmental Engineering and Technology (ICCEET 2023). Additionally, he has actively participated as a peer reviewer for multiple international conferences and journals, showcasing his expertise and commitment to academic excellence.

Impact and Influence ๐ŸŒ

Through his research and professional activities, Dr. Ahmed has significantly influenced the field of civil and environmental engineering. His innovative approaches to slope stability and microbial applications in engineering not only contribute to academic knowledge but also hold potential implications for real-world engineering practices. His participation in international conferences and collaborative projects enhances global research networks, fostering a culture of knowledge sharing and innovation.

Legacy and Future Contributions ๐Ÿ”ฎ

Looking ahead, Dr. Zulkifl Ahmed aims to continue his impactful work in geotechnical engineering, focusing on sustainable practices and innovative solutions to contemporary engineering challenges. His ongoing postdoctoral research and numerous publications are poised to solidify his reputation as a leading expert in his field. Dr. Ahmed's commitment to education and mentorship will inspire future generations of engineers, ensuring a lasting legacy in the realm of civil and environmental engineering.

 

Publications


๐Ÿ“„ Application of Microbially Induced CaCO3 on the Reinforcement of Rock Discontinuity
Authors: Simiao Zhang, Shuhong Wang, Zulkifl Ahmed, Fahad Alshawmar
Journal: Applied Sciences
Year: 2024


๐Ÿ“„ Spatial distribution and health risks assessment of heavy metals in e-waste dumping sites from Pakistan
Authors: Muhammad Zaffar Hashmi, Sohaib Khan, Yasar N. Kavil, Saeed Saad Alelyani, Abdullah G. Al Sehemi, Ahmad Hasnain, Sidra Shakil, Shuhong Wang, Zulkifl Ahmed
Journal: Environmental Geochemistry and Health
Year: 2024


๐Ÿ“„ Determination of Critical Slip Surface in Loose Rock Slope Stability Analysis
Authors: Zulkifl Ahmed, Sumra Yousuf, Mahwish Zahra, Anum Aleha, Abid Latif, Tahir Sultan, Tanveer Ahmad Khan, Muhammad Yousaf Raza Taseer
Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences
Year: 2024


๐Ÿ“„ An Artificial Neural Network Method for Forecasting the Stability of Soil Slopes
Authors: Zulkifl Ahmed, Sumra Yousuf, Shuhong Wang, Shafiq ur Rehman, Mustabshirha Gul, Muhammad Saqib Hanif
Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences
Year: 2024


๐Ÿ“„ Comprehensive human health risk assessment of heavy metal contamination in urban soils: insights from selected metropolitan zones
Authors: Harris Ayaz, Rab Nawaz, Iqra Nasim, Muhammad Atif Irshad, Ali Irfan, Iram Khurshid, Mohammad K. Okla, Gezahign Fentahun Wondmie, Zulkifl Ahmed, Mohammed Bourhia
Journal: Frontiers in Environmental Science
Year: 2023


 

Guangyin Zhang | Engineering | Best Research Article Award

Mr. Guangyin Zhang | Engineering | Best Research Article Award

University of Pittsburgh | United States

Author Profile

Orcid

Google Scholar

Early Academic Pursuits ๐Ÿ“š

Mr. Guangyin Zhang's journey into optical engineering began with his bachelorโ€™s dissertation at the China University of Petroleum, where he focused on acetylene detection using Photoacoustic Spectroscopy (PAS). This initial exploration laid the foundation for his profound interest in PAS and Optical Fiber Acoustic Sensors (OFAS). Building on this, he pursued a master's degree at Dalian University of Technology, where he honed his focus on OFAS and utilized the Cross-Correlation method for acoustic detection, leading to a significant master's thesis. His academic path has been marked by a continuous passion for cutting-edge optical engineering research.

Professional Endeavors ๐Ÿ‘จโ€๐Ÿ”ฌ

Upon completing his academic studies, Mr. Zhang's professional research advanced into various groundbreaking projects. Notable among them is his work on optical multireflection simulations powered by machine learning. He has been involved in highly sensitive gas detection systems and low-frequency acoustic detection for pipeline leakage. Each of his projects showcases his exceptional ability to merge theoretical knowledge with practical applications, making meaningful strides in improving the performance and reliability of optical sensors. His contributions to long-term monitoring of gases like CH4 and H2S in gas-insulated switchgear systems exemplify his expertise in creating innovative detection mechanisms.

Contributions and Research Focus ๐Ÿ”ฌ

Mr. Zhangโ€™s research primarily focuses on enhancing PAS and OFAS technologies, driving advancements in areas like trace gas detection and acoustic sensor systems. He has proposed improvements to system performance by optimizing multireflection mirror simulations and leveraging the Cross-Correlation principle to enhance sensor sensitivity. His study on low-frequency optical fiber Fabry-Perot acoustic sensors and 3D-printed resonant photoacoustic cells has further enriched the field of optical engineering. His work transcends traditional methods, incorporating differential approaches to improve signal-to-noise ratios, which has vast implications for environmental monitoring and industrial applications.

Accolades and Recognition ๐Ÿ†

Mr. Zhang's impactful contributions to the field have been widely recognized. His research has led to the publication of 19 papers, with a citation count of 395 and an H-index of 12, establishing him as a prolific and influential researcher. His first-author papers published in high-impact journals such as Sensors and Actuators A: Physical and the Journal of Lightwave Technology demonstrate the academic community's recognition of his innovative work. He has also been involved in various competitive research projects, further amplifying his influence in optical engineering.

Impact and Influence ๐ŸŒ

The significance of Mr. Zhangโ€™s research extends beyond academia, influencing real-world applications. His work on gas detection systems has the potential to revolutionize how industries monitor harmful gases, improving safety standards across sectors like energy and manufacturing. Additionally, his development of low-frequency acoustic detection systems aids in identifying pipeline leaks, offering a vital tool for maintaining infrastructure integrity. His research ensures that advancements in optical engineering continue to solve pressing global challenges.

Legacy and Future Contributions ๐ŸŒŸ

Mr. Zhangโ€™s contributions to optical engineering mark the beginning of a promising career. His future work will undoubtedly push the boundaries of PAS and OFAS technologies. With a focus on long-term monitoring solutions and enhancing sensor performance, he is poised to make even greater strides in optical engineering. His dedication to innovation and collaboration will ensure his legacy as a leading figure in the field, inspiring future generations of researchers and engineers.

 

Publications


๐Ÿ“„ ย "A Hermetic Package Technique for Multi-Functional Fiber Sensors through Pressure Boundary of Energy Systems Based on Glass Sealants"
Authors: Zhichun Fan, Shuda Zhong, Kehao Zhao, Qirui Wang, Yuqi Li, Guangyin Zhang, Guangqun Ma, Jieru Zhao, He Yan, Zhiyong Huang, et al.
Journal: Photonics
Year: 2024


๐Ÿ“„ ย "Simulation Analysis of Mode Hopping Impacts on OFDR Sensing Performance"
Authors: Qirui Wang, Nageswara Lalam, Kehao Zhao, Shuda Zhong, Guangyin Zhang, Ruishu Wright, Kevin P. Chen
Journal: Photonics
Year: 2024


๐Ÿ“„ ย "Miniaturized Non-resonant Photoacoustic Gas Analyzer for CO2 Detection"
Authors: Guangyin Zhang, Min Guo, Xinyu Zhao, Dongyu Cui, Lin Xu, Nan Wang, Rui Ni, Hongchao Qi, Jikuan Zhao, Ke Chen
Journal: Microwave and Optical Technology Letters
Year: 2023


๐Ÿ“„ ย "Low-frequency Optical Fiber Fabry-Perot Acoustic Sensor Based on All-phase Cross-correlation Demodulation"
Authors: Guangyin Zhang, Zijian Xiong, Min Guo, Ke Chen, Xinyu Zhao, Lin Xu, Nan Wang, Rui Ni, Zhenfeng Gong, Wei Peng
Journal: Journal of Lightwave Technology
Year: 2022


๐Ÿ“„ ย "Miniature 3D-printed Resonant Photoacoustic Cell for Flowing Gas Detection"
Authors: Guangyin Zhang, Ke Chen, Min Guo, Chenxi Li, Lin Xu, Nan Wang, Xinyu Zhao
Journal: Sensors and Actuators A: Physical
Year: 2022


 

Guipeng Chen | Engineering | Best Researcher Award

Dr. Guipeng Chen | Engineering | Best Researcher Award

Ocean University of China | China

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits ๐Ÿ“š

Dr. Guipeng Chen embarked on his academic journey with a Bachelor's degree in Civil Engineering from the China University of Petroleum, graduating in 2016. His passion for structural engineering led him to pursue both a Masterโ€™s (2016-2019) and a Ph.D. (2019-2023) in Structural Engineering at the Dalian University of Technology. During this time, Dr. Chen specialized in enhancing structural performance using Fiber-Reinforced Polymer (FRP) materials, focusing on composite structures incorporating FRP, concrete, and steel. His early academic endeavors laid a strong foundation for his future contributions in engineering research.

Professional Endeavors ๐ŸŒ

In October 2023, Dr. Chen was appointed as a Lecturer at the College of Engineering at Ocean University of China. In this role, he is committed to educating the next generation of engineers while also advancing his research in structural performance improvements. Dr. Chen has been actively involved in both academia and applied research. His work spans the theoretical modeling of composite structures and practical applications of advanced materials like FRP in construction. His work experience and collaborations with experts in the field have equipped him with deep expertise in improving infrastructure resilience using cutting-edge materials. His role as a lecturer also allows him to mentor students and engage in leading research initiatives.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Chen's primary research focus is on improving the structural performance of materials using Fiber-Reinforced Polymers (FRP). His work examines the behavior and mechanisms of composite structures incorporating FRP, concrete, and steel, exploring how these combinations enhance structural durability and strength. His research has produced numerous high-impact papers in renowned journals like Engineering Structures and Journal of Composites for Construction. Notably, Dr. Chen has contributed groundbreaking work on FRP-confined concrete, elliptical FRP-concrete-steel tubular columns, and the use of advanced materials to withstand cyclic and axial loading. Beyond theoretical research, Dr. Chen has been the principal investigator in multiple significant projects, including the Qingdao Postdoctoral Applied Research Project and the Shandong Provincial Natural Science Foundation. These projects aim to push the boundaries of material science and structural engineering.

Accolades and Recognition ๐Ÿ†

Dr. Chen's academic excellence has been recognized with multiple prestigious awards. In 2022, he was awarded the National Scholarship and was named an Excellent Graduate of Liaoning Province, not once but twice, in 2018 and 2022. His growing expertise has earned him a place among the top-cited scientists globally, with a percentile rank of 2%. His career-long scientific impact, measured through an H-index of 11 on both Web of Science and Scopus, further cements his stature in the engineering community. Additionally, his academic contributions extend beyond research. Dr. Chen holds a position on the Youth Editorial Board of the Sustainable Structures journal, reflecting his influence on the future direction of structural engineering research.

Impact and Influence ๐ŸŒŸ

With 16 SCI papers and over 396 citations on Google Scholar, Dr. Chenโ€™s work is recognized both nationally and internationally. His research on the cyclic loading and performance of FRP-reinforced materials has profound implications for the construction of more resilient infrastructure, particularly in earthquake-prone regions. Dr. Chen has not only advanced engineering knowledge but also mentored and collaborated with future engineers and scientists, influencing their academic paths. His role as a researcher and lecturer allows him to shape the trajectory of his field and inspire the next generation of structural engineers.

Legacy and Future Contributions ๐Ÿ›๏ธ

Dr. Guipeng Chenโ€™s work is expected to continue pushing the boundaries of structural engineering. His research, particularly on the use of advanced FRP materials, has the potential to revolutionize how modern structures are built and maintained, making them more sustainable and resilient. With his growing portfolio of published works and ongoing projects, Dr. Chen is poised to make even greater contributions to the field in the years to come. As he continues his career at Ocean University of China, his influence will likely extend across new frontiers in material science and engineering, ensuring that his legacy as a pioneer in structural performance improvement endures for generations.

 

Publications


  • ๐Ÿ“„ Static Performance of Pre-Fabricated and Cast-in-Place Joints Formed by Inserting Steel Secondary Beam into Concrete Girder
    Authors: Sun, X., Yang, S., Chen, G., Liu, Z., Yang, Q.
    Journal: Buildings
    Year: 2024

  • ๐Ÿ“„ Seismic Performance of Elliptical FRP-Concrete-Steel Tubular Columns under Combined Axial Load and Reversed Lateral Load
    Authors: Zhang, B., Peng, Y., Gao, Y., Zhou, C., Zhang, N.
    Journal: Engineering Structures
    Year: 2023

  • ๐Ÿ“„ Cyclically Loaded Elliptical FRP-Confined Concrete: Behavioral Characteristics and Modeling
    Authors: Chen, G., Wang, Y., Yu, T., Zhang, B., Zhang, Y.
    Journal: Engineering Structures
    Year: 2023

  • ๐Ÿ“„ Elliptical FRP-Concrete-Steel Double-Skin Tubular Columns: Axial Behavior, Interaction Mechanism, and Modeling
    Authors: Chen, G., Wang, Y., Yu, T., Zhang, B., Han, B.
    Journal: Journal of Composites for Construction
    Year: 2022

  • ๐Ÿ“„ Performance and Modeling of FRP-Steel Dually Confined Reinforced Concrete under Cyclic Axial Loading
    Authors: Chen, G., Wang, Y., Cai, G., Wan, B., Hao, Q.
    Journal: Composite Structures
    Year: 2022

 

Waldenรช Moura | Engineering | Best Researcher Award

Mr. Waldenรช Moura | Engineering | Best Researcher Award

Instituto Tecnolรณgico de Aeronรกutica | Brazil

Author Profile

Orcid

๐ŸŽ“ Early Academic Pursuits

Mr. Waldenรช Mouraโ€™s academic journey began with a strong foundation in engineering. He first pursued a degree in Production Engineering from the State University of Maranhรฃo (UEMA), graduating in 2014. Before this, he enrolled in Electrical Engineering at the Federal University of Maranhรฃo (UFMA), although he did not complete this degree. His academic curiosity continued as he specialized in Port Logistics at UFMA in 2016, further strengthening his expertise. By 2019, he completed a master's degree in Computer Engineering with a focus on Aerospace Engineering at UEMA, demonstrating his growing passion for aerospace technologies.

๐Ÿ’ผ Professional Endeavors

Mr. Mouraโ€™s career has been as diverse as his educational pursuits. He currently holds a position as an Information Technology Technician at the Federal University of Maranhรฃo, contributing to various research and technological initiatives. His professional experience extends across numerous industries, including working in roles within the Maranhรฃo Aluminum Consortium and the Maranhรฃo Technical Service Provision Center. He has developed a profound understanding of port logistics, aerospace technology, and production engineering, which he applies in his ongoing projects and academic research.

๐Ÿ”ฌ Contributions and Research Focus

Mr. Moura's research interests center on Aerospace Engineering, specifically in areas such as flight dynamics, suborbital flight, and embedded systems. His projects focus on altitude measurement, inertial sensors, and telemetry in space vehicle experiments. He has contributed significantly to advancing STEM education in space science and has been involved in the development of open-source platforms for space science experiments. His work has been presented in multiple international conferences, and he is actively involved in advancing machine learning applications and microgravity experiments.

๐Ÿ† Accolades and Recognition

Mr. Mouraโ€™s innovative contributions have earned him recognition in both academia and professional sectors. His work in the development of tools such as the MicroGravity Explorer Kit (MGX) and his patents for industrial automation and space vehicle monitoring are notable achievements. Additionally, his participation in national and international aerospace conferences highlights his commitment to expanding the boundaries of space science and engineering innovation.

๐ŸŒ Impact and Influence

Throughout his career, Mr. Moura has demonstrated a profound impact on aerospace research and development, influencing fields such as space systems and autonomous monitoring systems. His innovative work in the space industry has helped bridge the gap between academic theory and practical application. His passion for education and knowledge-sharing is also evident through his involvement in STEM initiatives and open-source projects, making space science more accessible to researchers and students alike.

๐Ÿš€ Legacy and Future Contributions

As Mr. Moura continues to pursue his PhD in Space Sciences and Technologies, his legacy is one of relentless curiosity, innovation, and dedication to aerospace engineering. His contributions to space systems, suborbital flights, and machine learning applications in space will undoubtedly pave the way for future advancements in the field. His work is likely to influence both academic research and practical aerospace engineering for years to come, ensuring his place as a key figure in space technology and innovation.

 

Publications


  • ๐Ÿ“„ MicroGravity Explorer Kit (MGX): An Open-Source Platform for Accessible Space Science Experimentsย 
  • Authors: Waldenรช de Melo Moura, Carlos Renato dos Santos, Moisรฉs Josรฉ dos Santos Freitas, Adriano Costa Pinto, Luciana Pereira Simรตes, Alison Moraes
  • Journal: Aerospace
  • Year: 2024

 

Xin Shao | Engineering | Best Researcher Award

Dr. Xin Shao | Engineering | Best Researcher Award

State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing | China

Author Profile

Scopus

Orcid

๐ŸŽ“ Early Academic Pursuits

Dr. Xin Shao began his academic journey at the University of Science and Technology Beijing (USTB), where he earned a Bachelor's degree in Metallurgical Engineering (2013-2017). He continued his studies at USTB, pursuing a Doctorate in Metallurgical Engineering (2017-2024). His academic focus laid the groundwork for his later innovations in metallurgical processes and technologies.

๐Ÿ’ผ Professional Endeavors

Dr. Shao's career has centered on advancing metallurgical engineering, particularly in steelmaking plants. He has made significant strides in process optimization, collaborating on major projects that leverage simulation and intelligent systems to improve steelmaking efficiency. His work emphasizes the application of dynamic collaborative operation technologies in steelmaking.

๐Ÿ“š Contributions and Research Focus

Dr. Shao's research interests include metallurgical process engineering, simulation, and optimization. His contributions to this field are vast, including numerous publications and innovations, such as patented scheduling methods for steelmaking. His research integrates cutting-edge technology like deep neural networks and AI-based models, contributing to advancements in steel production efficiency.

๐Ÿ† Accolades and Recognition

Dr. Shao has received several prestigious awards, highlighting his impact in the field. Notably, he earned the Higher Education Science and Technology Progress Award (Second Class, Ministry of Education, China) in 2023 and the National Business Science and Technology Progress Award (First Class, China General Chamber of Commerce) in 2021. These awards recognize his innovative contributions to steelmaking processes.

๐ŸŒ Impact and Influence

Dr. Shaoโ€™s influence extends through his patents and software copyrights, demonstrating his role in the digital transformation of metallurgical engineering. His intellectual property, including analysis software for mass and heat balance and intelligent production scheduling systems, has brought transformative changes to the steelmaking industry.

โœจ Legacy and Future Contributions

As Dr. Shao's research continues to evolve, his future contributions are poised to influence not only academic circles but also the broader industrial landscape. His innovative methods for optimizing steelmaking processes set the stage for future breakthroughs, ensuring his lasting legacy in metallurgical engineering.

 

Publications


๐Ÿ“„Simulation Model of a Steelmakingโ€“Continuous Casting Process Based on Dynamic-Operation Rules
Authors: Shao, X., Liu, Q., Chen, H., Gao, S., Li, S.
Journal: Materials
Year: 2024


๐Ÿ“„Hybrid Model for BOF Oxygen Blowing Time Prediction Based on Oxygen Balance Mechanism and Deep Neural Network
Authors: Shao, X., Liu, Q., Xin, Z., Zhou, T., Li, S.
Journal: International Journal of Minerals, Metallurgy and Materials
Year: 2024


๐Ÿ“„A Hybrid Model for Power-on Time Prediction in LF Based on Deep Neural Network and Metallurgical Mechanism
Authors: Shao, X., Liu, Q., Zhou, T., Li, S.
Journal: Proceedings - 2022 15th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2022


๐Ÿ“„Multiscale Modeling and Collaborative Manufacturing for Steelmaking Plants | ็‚ผ้’ขๅŽ‚ๅคšๅฐบๅบฆๅปบๆจกไธŽๅๅŒๅˆถ้€ 
Authors: Liu, Q., Shao, X., Yang, J.-P., Zhang, J.-S.
Journal: Chinese Journal of Engineering
Year: 2021


๐Ÿ“„Cooperative Control of Multi-process Operation in Steelmaking-Continuous Casting Section | ็‚ผ้’ข-่ฟž้“ธๅŒบๆฎตๅคšๅทฅๅบ่ฟ่กŒๅๅŒๆŽงๅˆถ
Authors: Shao, X., Yang, J.-P., Wang, B.-L., Gao, S., Liu, Q.
Journal: Iron and Steel
Year: 2021


 

Elif Keskin Bilgiรง | Engineering | Best Researcher Award

Mrs. Elif Keskin Bilgiรง | Engineering | Best Researcher Award

Istanbul University -CerrahpaลŸa | Turkey

Author Profile

Orcid

Early Academic Pursuits ๐ŸŽ“

Mrs. Elif Keskin Bilgiรง's academic journey began with a strong foundation in biology, earning her B.Sc. in Biology from Abant ฤฐzzet Baysal University in 2010. She further pursued her passion for biomedical engineering, completing an M.Sc. at Istanbul University in 2016. Her master's thesis focused on investigating the therapeutic effects of innovative biomaterials, such as L-Dopa and Lawsone, in wound healing. This early academic focus laid the groundwork for her expertise in biomedical engineering and clinical applications. In 2024, she completed her Ph.D. in Biomedical Engineering from Istanbul University-CerrahpaลŸa, specializing in non-invasive clinical decision support systems for diagnosing gastrointestinal diseases using advanced machine learning methods. ๐Ÿ“š

Professional Endeavors ๐Ÿ’ป

With over a decade of professional experience, Mrs. Bilgiรง has made significant contributions as both a researcher and educator. She has taught Cambridge Biology at the A-Level from 2016 to 2024 at the International Gokkusagi School in Istanbul, equipping students with critical knowledge to excel in international examinations. As a researcher at Istanbul University-CerrahpaลŸa since 2016, she has pioneered research using transfer learning techniques to detect celiac disease, developing predictive machine learning models to aid in diagnostics. Her work in wound healing and biomaterials during her early career helped shape her innovative approaches in biomedical engineering.

Contributions and Research Focus ๐Ÿ”ฌ

Mrs. Bilgiรง's research centers on developing non-invasive clinical decision support systems for diagnosing autoimmune diseases, with a particular focus on celiac disease. Her groundbreaking research involves the use of machine learning models, including transfer learning and deep learning, to diagnose the disease by analyzing facial images and predicting Marsh levels from patient data. This innovative approach merges cutting-edge AI technology with clinical diagnostics, advancing the field of medical science. In addition, her research on the therapeutic effects of biomaterials in wound healing has expanded the knowledge base in biomedical engineering.

Accolades and Recognition ๐Ÿ†

Mrs. Bilgiรง has published multiple scientific papers, including an original article on using transfer learning for celiac disease identification, which has garnered attention within the scientific community. Her work has been presented at numerous conferences and symposia, including international venues such as the Bilge Kagan 2nd International Science Congress in Barcelona, Spain, and the 11th Nanoscience and Nanotechnology Conference in Ankara, Turkey. Her innovative approaches to clinical diagnostics and contributions to autoimmune disease research have earned her recognition as a thought leader in the field.

Impact and Influence ๐ŸŒ

Through her research, Mrs. Bilgiรง is reshaping how clinical diagnostics are performed, particularly for gastrointestinal and autoimmune diseases. Her development of non-invasive diagnostic systems could revolutionize patient care, offering faster and more accurate diagnosis options. Her educational impact extends beyond the research lab, as she has inspired countless students through her teaching, blending her academic and professional expertise into practical applications that shape future scientists and researchers.

Legacy and Future Contributions โœจ

Mrs. Bilgiรง's work in machine learning, biomedical engineering, and education has laid a strong foundation for future advancements in healthcare technology. Her legacy will likely be marked by her innovations in non-invasive diagnostic tools and her contribution to the understanding of biomaterials in medical treatment. As her research evolves, she is poised to continue making significant contributions that will benefit patients and healthcare providers alike, influencing the future of clinical decision support systems and biomedical engineering for years to come.

 

Publications


๐Ÿ“– Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identificationย 
Author: Elif Keskin Bilgiรง, Inci Zaim Gokbay, Yusuf Kayar
Journal: Applied Sciences
Year: 2024


 

Qing Liu | Engineering | Best Researcher Award

Prof Dr. Qing Liu | Engineering | Best Researcher Award

University of Science and Technology Beijing | China

Author Profile

Orcid

Early Academic Pursuits ๐Ÿ“š

Prof. Dr. Qing Liu's academic journey began with a Bachelor of Metallurgical Engineering from the University of Science and Technology Beijing (USTB). His pursuit of advanced knowledge led him to earn a Masterโ€™s and Ph.D. in Metallurgical Engineering from the same institution, focusing on Ferrous Metallurgy. His foundational education was further enriched by a visiting scholar position at La Trobe University, Australia.

Professional Endeavors ๐Ÿ”ฌ

Prof. Liu has made significant strides in his professional career at USTB, where he has served in various roles, including Professor, Deputy Director of the State Key Laboratory of Advanced Metallurgy, and Vice Dean of the School of Metallurgical Engineering. His leadership extends beyond USTB, with positions such as Foreign Member of the Russian Academy of Natural Sciences and Fellow of the International Association of Advanced Materials. He has also contributed to the field through his roles in numerous technical committees and research centers, focusing on steel manufacturing and metallurgical processes.

Contributions and Research Focus ๐Ÿ”

Prof. Liu's research emphasizes optimization and quality control in steelmaking and continuous casting processes. His work in metallurgical process engineering and intelligence has led to significant advancements in simulation, optimization, and the high-efficiency utilization of metallic resources. His research has been recognized with several prestigious awards, including the Golden Scientist Grand Award and the Invention Entrepreneurship and Innovation Award.

Accolades and Recognition ๐Ÿ†

Prof. Liu's innovative contributions have earned him numerous accolades. These include the Golden Scientist Grand Award for โ€œMultiscale modeling and collaborative manufacturing for steelmaking plants,โ€ the Gold Medal at the World Invention Innovation Contest, and multiple awards for his advancements in steel casting and refining processes. His achievements are a testament to his impact and leadership in the field of metallurgy.

Impact and Influence ๐ŸŒŸ

Prof. Liu's work has profoundly influenced the field of metallurgical engineering, particularly in steel manufacturing processes. His research has not only advanced theoretical understanding but also led to practical innovations that improve industry practices. His leadership roles and active participation in various international and national committees reflect his commitment to advancing metallurgy.

Legacy and Future Contributions ๐Ÿ”ฎ

Prof. Liu's legacy is defined by his groundbreaking research and contributions to metallurgical engineering. His future work promises to continue advancing the field, particularly through further innovations in steelmaking processes and resource utilization. His ongoing commitment to education and research ensures that his impact will be felt by future generations of engineers and researchers.

 

Publications


  • ๐Ÿ“œ Simulation Model of a Steelmakingโ€“Continuous Casting Process Based on Dynamic-Operation Rules
    • Author: Xin Shao, Qing Liu, Hongzhi Chen, Jiangshan Zhang, Shan Gao, Shaoshuai Li
    • Journal: Materials
    • Year: 2024

  • ๐Ÿ“œ Influence of Different Submerged Entry Nozzles for Continuous Casting of Ultrathick Slab
    • Author: Quanhui Li, Qing Liu, Qiangqiang Wang, Shengping He, Xinping Mao
    • Journal: Steel Research International
    • Year: 2024

  • ๐Ÿ“œ Numerical Simulation of Heat Transfer Behavior in Hot Spot Zone of Converter Molten Bath
    • Author: Rui Jiang, Jiankun Sun, Xinping Mao, Qing Liu
    • Journal: Steel Research International
    • Year: 2024

  • ๐Ÿ“œ Modeling of LF Refining Process: A Review
    • Author: Zi-cheng Xin, Jiang-shan Zhang, Kai-xiang Peng, Jun-guo Zhang, Chun-hui Zhang, Qing Liu
    • Journal: Journal of Iron and Steel Research International
    • Year: 2024

  • ๐Ÿ“œ Analysis and Control of the Slab Hot Ductility Behaviors Based on Nozzle Arrangement during Continuous Casting
    • Author: Huisheng Wang, Jiangshan Zhang, Chao Wang, Zhigang Yang, Jun Wu, Min Guan, Qing Liu
    • Journal: Steel Research International
    • Year: 2024

 

Sohail Muhammad | Engineering | Best Researcher Award

Mr. Sohail Muhammad | Engineering | Best Researcher Award

University of Electronic Science and Technology of China | Pakistan

Author Profile

Orcid

๐ŸŽ“ Early Academic Pursuits

Mr. Sohail Muhammad's academic journey began with a strong foundation in engineering. He pursued a Ph.D. in Information and Communication Engineering at the University of Electronics Science and Technology of China, starting in September 2021. Prior to this, he earned a Masterโ€™s degree in Electronic Science and Technology from Xi'an Jiao Tong University, China, where he achieved a CGPA of 3.17. His academic endeavors were further strengthened by his BS (Hons) in Telecommunication Engineering from Hazara University of Manshera, Pakistan. His education laid the groundwork for his specialized research in advanced engineering fields.

๐Ÿ’ผ Professional Endeavors

Mr. Muhammad's professional journey is marked by significant roles in the telecommunications industry. He worked as a Transmission Engineer at HUAWEI (PVT) LTD in Islamabad, Pakistan, for one year and four months, where he honed his skills in network operations and communication technologies. Additionally, he gained valuable experience during his internship at Mobiserv (Pvt) Ltd, where he worked in operations as a BSS/Transmission Engineer in Swat, KPK, Pakistan. His professional background is further enriched by a six-month teaching stint at Tipu Shaheed School and College in Swat, demonstrating his commitment to education and knowledge sharing.

๐Ÿ“š Contributions and Research Focus

Mr. Muhammad's research focuses on cutting-edge technologies in MIMO Reference Antenna for OTA Applications, Antenna Decoupling, Microwave Photonic Crystal, and Optomechanics. His work has led to several notable publications, including studies on silicon-based photonic crystal optomechanical cavities and lithium-niobate-based photonic crystal cavities. His research has been recognized at international conferences, showcasing his contributions to the field of photonics and communication engineering. His ability to blend theoretical knowledge with practical applications has made him a respected figure in his research domain.

๐Ÿ† Accolades and Recognition

Throughout his academic and professional career, Mr. Muhammad has been the recipient of numerous scholarships and awards. He was awarded the Chinese Government Scholarship to pursue his Ph.D., the Belt & Road Scholarship for his Master's degree, and the Higher Education Commission Scholarship for his undergraduate studies. These accolades are a testament to his academic excellence and dedication to advancing his knowledge in engineering and technology.

๐ŸŒ Impact and Influence

Mr. Muhammad's work has had a significant impact on the fields of telecommunications and photonics. His research contributions have been published in reputable journals and presented at international conferences, influencing the work of other researchers and professionals in the field. His expertise in photonic crystals and antenna design has opened new avenues for innovation in communication technologies, making him a key player in advancing these areas.

๐Ÿ”ฎ Legacy and Future Contributions

As Mr. Muhammad continues his research and professional endeavors, his legacy is being built on a foundation of academic excellence, innovative research, and professional achievements. His future contributions are expected to further the understanding and application of advanced communication technologies, particularly in the areas of photonics and antenna design. His work will continue to inspire and guide future generations of engineers and researchers in these fields.

 

Publications


๐Ÿ“„ Design and Fabrication of High-Quality Two-Dimensional Silicon-Based Photonic Crystal Optical Cavity with Integrated Waveguides
Authors: Sohail Muhammad, Dingwei Chen, Chengwei Xian, Jun Zhou, Zhongke Lei, Pengju Kuang, Zhe Li, Guangjun Wen, Yongjun Huang
Journal: ๐Ÿ“ฐ Photonics
Year: 2024


 

Aylin Pakzad | Engineering | Best Researcher Award

Dr. Aylin Pakzad | Engineering | Best Researcher Award

Kosar University of Bojnord | Iran

Author Profile

Scopus

Google Scholar

๐ŸŽ“ Early Academic Pursuits

Dr. Aylin Pakzad's academic journey began with a Bachelor's degree in Industrial Engineering, specializing in industrial production, from Shahid Bahonar University of Kerman, graduating in 2018. Her passion for the field led her to pursue a Master's degree in Industrial Engineering with a specialization in industrial systems at the same university, completing it in 2013. She furthered her education with a study opportunity at Iran University of Science and Technology from December 2018 to June 2019. Dr. Pakzad culminated her academic pursuits with a Ph.D. in Industrial Engineering from Ferdowsi University of Mashhad, a degree she accepted in July 2022.

๐Ÿ’ผ Professional Endeavors

Dr. Pakzad has held several significant academic positions, showcasing her leadership and expertise in the field. She served as the Deputy Director of the Industrial Engineering Department at Ishraq Bojnoord Institute of Higher Education in 2014. From 2013 to 2015, she was the Head of the Industrial Engineering Department at Kausar Bojnord University. Since 2014, Dr. Pakzad has been a valued member of the faculty at the Faculty of Technology, Engineering, and Basic Sciences at Kausar Bojnord University.

๐Ÿ”ฌ Contributions and Research Focus

Dr. Pakzad's research is marked by a focus on Statistical Quality Control, Process Capability Analysis, Fuzzy Statistics, and Data Mining. Her scholarly contributions are reflected in her numerous publications in international journals. Notable works include her 2014 study on evaluating the performance of an educational system using an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model. Her research extends to developing new indices for process capability analysis and innovative approaches to data mining.

๐Ÿ† Accolades and Recognition

Dr. Pakzad's academic and research excellence has earned her recognition within the industrial engineering community. Her work has been featured in both international journals and conferences, such as the International Journal of Data Envelopment Analysis and the Journal of Statistical Computation and Simulation. Her pioneering research on process capability indices for linear profiles and innovative approaches to quality engineering has cemented her reputation as a leading expert in her field.

๐ŸŒ Impact and Influence

Dr. Pakzad's influence extends beyond academia. Her research has practical applications in quality management, industrial engineering, and data analysis, impacting various industries. Her work on statistical models and process capability indices has provided valuable tools for engineers and researchers alike, contributing to the advancement of industrial practices and academic knowledge.

๐ŸŒŸ Legacy and Future Contributions

Dr. Pakzad continues to push the boundaries of industrial engineering with her innovative research and dedicated teaching. Her legacy is one of intellectual rigor, leadership, and a commitment to advancing the field of industrial engineering. As she continues her work, Dr. Pakzad is poised to make further significant contributions, shaping the future of industrial engineering and inspiring the next generation of engineers and researchers.

 

Publicationsย 


๐Ÿ“Process Capability Index for Simple Linear Profile in the Presence of Within- and Between-Profile Autocorrelationย 
Authors: Aylin Pakzad , Ali Yeganeh , Rassoul Noorossana , and Sandile Charles Shongwe
Journal: Mathematics
Year: 2024


๐Ÿ“Process Capability Analysis for Simple Linear Profilesย 
Authors: Aylin Pakzad , S. Adibfar , H. Razavi , R. Noorossana
Journal: Quality & Quantity
Year: 2024


๐Ÿ“Problem Development, Model Formulation and Proposed Algorithm for Capacitated Arc Routing Problem with Priority Edgesย 
Authors: F. Tanhaie , Aylin Pakzad
Journal: International Journal of Industrial Engineering and Production Research
Year: 2023


๐Ÿ“A New Incapability Index for Simple Linear Profile with Asymmetric Tolerancesย 
Authors: Aylin Pakzad , E. Basiri
Journal: Quality Engineering
Year: 2023


๐Ÿ“Developing Loss-Based Functional Process Capability Indices for Simple Linear Profileย 
Authors: Aylin Pakzad , H. Razavi , B. Sadeghpour Gildeh
Journal: Journal of Statistical Computation and Simulation
Year: 2022