Dr Wenhai Zhao | Vision Sensing | Best Researcher Award

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Dr Wenhai Zhao | Vision Sensing | Best Researcher Award

Dr Wenhai Zhao,Doctoral student , Lanzhou University of Technology,China

Wenhai Zhao is a dedicated researcher in structural engineering, focusing on structural health monitoring, particularly in the wind energy sector. Currently pursuing a Ph.D. at Lanzhou University of Technology, Zhao has a strong academic background and a keen interest in advancing technologies for monitoring wind turbine integrity. With a commitment to enhancing safety and efficiency in renewable energy, Zhao actively participates in various research projects that address critical challenges in the field.

Professional Profile:

Suitability for the Best Researcher Award: 

Wenhai Zhao is currently pursuing a Ph.D. in Structural Engineering with a focus on Structural Health Monitoring at Lanzhou University of Technology. His impressive academic background includes a Master’s degree in Disaster Prevention and Mitigation and a Bachelor’s in Civil Engineering. Wenhai’s research centers on the vital area of Wind Turbine Structural Health Monitoring, where he has made significant contributions, particularly in the detection of surface defects and the identification of dynamic characteristics of wind turbine structures.

Education

Dr. Ibrahim holds multiple advanced degrees, including an M.B.B.Ch. with honors, a Master’s in Dermatology and Venereology, and an M.D. from Al-Azhar University. He also completed a Diploma in Laser Medical Applications and is a diplomate of the American Board of Laser Surgery. His education is complemented by a prestigious Associate Clinical Scholars Research Training program at Harvard Medical School.

Work Experience

Zhao has gained extensive experience through participation in key research projects related to wind turbine structural health monitoring. As the Principal Investigator for a project assessing the structural state of large wind turbine blades using machine vision and UAV technology, he has demonstrated strong leadership and technical skills. Additionally, Zhao has contributed as a participating researcher on multiple National Natural Science Foundation of China projects, focusing on vibration reduction control and detection technologies for wind turbines.

 Skills

Wenhai Zhao possesses a diverse skill set that includes expertise in machine vision, UAV technology, and structural health monitoring. He is proficient in image data expansion and surface defect identification on wind turbine blades. Zhao has strong analytical abilities for assessing dynamic characteristics of structures, along with technical skills in vibration control systems. His collaborative approach and problem-solving capabilities enhance his contributions to innovative research in renewable energy.

 Awards and Honors

Zhao has been recognized as an Outstanding Graduate Student Innovation Star in Gansu Province for his project on the structural assessment of wind turbine blades, receiving funding for his work. His contributions to the field have been acknowledged through participation in several prestigious research projects funded by the National Natural Science Foundation of China, highlighting his commitment to advancing structural engineering and health monitoring technologies.

 Membership

Wenhai Zhao is an active member of various professional organizations related to civil engineering and structural health monitoring. His membership enables him to stay updated on the latest research and advancements in the field, facilitating collaboration and networking with other professionals and researchers. These connections enhance his research capabilities and contribute to his professional development.

Teaching Experience

Zhao has gained teaching experience during his academic journey, assisting professors in courses related to civil engineering and structural health monitoring. This role has allowed him to develop effective communication and presentation skills while fostering a collaborative learning environment for students. His teaching experience enriches his understanding of fundamental concepts and helps him convey complex ideas effectively to future engineers.

Research Focus

Wenhai Zhao’s research primarily focuses on wind turbine structural health monitoring, with specific interests in surface defect detection and dynamic characteristic identification. His innovative approach combines machine vision and UAV technology to assess the integrity of wind turbine blades. By exploring vibration reduction control methods for large wind power structures, Zhao aims to enhance the safety and performance of renewable energy systems, contributing significantly to the field of structural engineering.

Publication top Notes:
  • Surface Defect Detection and Evaluation Method of Large Wind Turbine Blades Based on an Improved Deeplabv3+ Deep Learning Model
    Year: 2024
    Journal: Structural Durability & Health Monitoring
    DOI: 10.32604/sdhm.2024.050751
  • Dynamic Characteristics Monitoring of Wind Turbine Blades Based on Improved YOLOv5 Deep Learning Model
    Year: 2023
    Journal: Smart Structures and Systems
    DOI: 10.12989/SSS.2023.31.5.469
  • Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method
    Year: 2022
    Journal: Buildings
    DOI: 10.3390/buildings12112021
  • Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV
    Year: 2022
    Journal: Remote Sensing
    DOI: 10.3390/rs14133113

 

Shady Ibrahim | Vision Sensing | Best Researcher Award

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Shady Ibrahim | Vision Sensing | Best Researcher Award

Prof Shady Ibrahim, Al-Azhar University Faculty of Medicine, Egypt

Dr. Shady Mahmoud Attia Ibrahim is a distinguished Professor of Dermatology & Venereology at Al-Azhar University in Egypt. With over two decades of clinical and research experience, he has made significant contributions to dermatological science, particularly in laser and aesthetic dermatology. His commitment to education and innovation in the field positions him as a leading figure in dermatology.

Professional Profile:

Suitability for the Best Researcher Award: 

Dr. Ibrahim’s extensive publication record, including over 40 peer-reviewed articles and contributions to international books, showcases his deep understanding and expertise in dermatology. His h-index of 13 reflects his impactful research, making him a strong candidate for the Best Researcher Award. His leadership in specialized training programs further highlights his dedication to advancing dermatological practices.

Education

Dr. Ibrahim holds multiple advanced degrees, including an M.B.B.Ch. with honors, a Master’s in Dermatology and Venereology, and an M.D. from Al-Azhar University. He also completed a Diploma in Laser Medical Applications and is a diplomate of the American Board of Laser Surgery. His education is complemented by a prestigious Associate Clinical Scholars Research Training program at Harvard Medical School.

Work Experience

With extensive clinical experience, Dr. Ibrahim has held various positions in dermatology, including roles as a House Officer, Resident, and Lecturer. He is currently responsible for the Laser and Aesthetic Dermatology Units at Al-Azhar University and has directed training programs in clinical and procedural dermatology. His experience spans military and civilian healthcare settings, enhancing his practical knowledge.

 

Skills

Dr. Ibrahim possesses exceptional skills in laser therapy, dermatologic surgery, and aesthetic treatments. He is a trained international expert in various laser applications and has developed advanced training protocols for dermatology professionals. His proficiency in research methodologies and clinical practices further solidifies his reputation as an expert in the field.

Awards and Honors

Throughout his career, Dr. Ibrahim has received several awards and recognitions for his contributions to dermatology. His ongoing commitment to research and clinical excellence has earned him accolades within academic and professional circles, highlighting his influence in the field.

Membership

Dr. Ibrahim is an active member of various esteemed medical societies, including the European Academy of Dermatology and Venereology (EADV) and the Egyptian Society of Dermatology & Venereology (ESDV). His involvement in these organizations underscores his dedication to advancing dermatology and participating in global conversations around skin health.

Publication top Notes:

Skin microneedling plus platelet-rich plasma versus skin microneedling alone in the treatment of atrophic post-acne scars: a split face comparative study
MK Ibrahim, SM Ibrahim, AM Salem (2018)
Cited by: 118
🧑‍⚕️💉🧴

Sperm chromatin condensation in infertile men with varicocele before and after surgical repair
A Sadek, ASA Almohamdy, A Zaki, M Aref, SM Ibrahim, T Mostafa (2011)
Cited by: 105
🧬🧑‍⚕️🔬

Pulsed dye laser versus long-pulsed Nd: YAG laser in the treatment of hypertrophic scars and keloid: a comparative randomized split-scar trial
AESAEH Al-Mohamady, SMA Ibrahim, MM Muhammad (2016)
Cited by: 91
💡📊🩹

Intense pulsed light versus photodynamic therapy using liposomal methylene blue gel for the treatment of truncal acne vulgaris: a comparative randomized split body study
NH Moftah, SM Ibrahim, NH Wahba (2016)
Cited by: 53
⚡💡💆‍♂️

Ablative fractional 10 600 nm carbon dioxide laser versus non-ablative fractional 1540 nm erbium-glass laser in Egyptian post-acne scar patients
ML Elsaie, SM Ibrahim, W Saudi (2018)
Cited by: 39
🌐💥🧴

Fractional carbon dioxide laser-assisted delivery of topical tazarotene versus topical tioconazole in the treatment of onychomycosis
EB Abd El-Aal, HM Abdo, SM Ibrahim, MT Eldestawy (2019)
Cited by: 36
🦶💅🧴

Terbinafine hydrochloride nanovesicular gel: In vitro characterization, ex vivo permeation and clinical investigation
SM AbdelSamie, AO Kamel, OA Sammour, SM Ibrahim (2016)
Cited by: 36
⚗️🧴💊

Egyptian dermatologists’ attitude toward telemedicine amidst the COVID19 pandemic: a cross-sectional study
ML Elsaie, HA Shehata, NS Hanafi, SM Ibrahim, HS Ibrahim (2022)
Cited by: 30
🌍📱💻

Early fractional carbon dioxide laser intervention for postsurgical scars in skin of color
SM Ibrahim, WM Saudi, MF Abozeid, ML Elsaie (2019)
Cited by: 23
🧑‍⚕️🔬👩‍⚕️

Combined low-dose isotretinoin and pulsed dye laser versus standard-dose isotretinoin in the treatment of inflammatory acne
SM Ibrahim, A Farag, R Hegazy, M Mongy, S Shalaby, MM Kamel (2021)
Cited by: 20
💊💡🤳

 

Prof Wanrun Li | Vision Sensing | Best Researcher Award

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Prof Wanrun Li | Vision Sensing | Best Researcher Award

Prof Wanrun Li, Lanzhou University of Technology, China 

Professor Wanrun Li is a distinguished academic and researcher in Structural Health Monitoring, currently serving as the Vice Dean of the School of Civil Engineering at Lanzhou University of Technology, China. With a focus on fatigue analysis, wind turbine vibration control, and structural health monitoring, he has led numerous research projects funded by national and regional foundations. His work has significantly contributed to understanding the seismic performance of super-tall buildings, damage identification, and fatigue life prediction of wind turbines. He has held multiple leadership roles, including Associate Professor and department head, and has been a visiting scholar at prestigious institutions.

Professional Profile:

Suitability for the Best Researcher Award: 

Professor Wanrun Li’s extensive research portfolio, leadership in high-stakes projects, and contributions to structural engineering make him a strong candidate for the Best Researcher Award. His work in wind turbine vibration control and fatigue analysis is critical for the advancement of sustainable energy infrastructure. However, to strengthen his candidacy, broadening the impact of his research on industry standards and further enhancing global outreach would be valuable steps forward. Overall, his dedication to innovative research and significant contributions to civil engineering position him as a deserving nominee for this prestigious award.

Education

Professor Wanrun Li earned his Ph.D. in Structural Engineering from Lanzhou University of Technology in 2013, specializing in Structural Health Monitoring under the guidance of Prof. Yongfeng Du and Prof. Y.Q. Ni. He was also a joint-supervised Ph.D. candidate at Hong Kong Polytechnic University from 2011-2012. His academic background includes an M.S. in Disaster Prevention and Mitigation from Lanzhou University of Technology (2010) and a B.S. in Civil Engineering from the same institution (2008). His education laid the foundation for his expertise in monitoring structural health and analyzing the fatigue of civil structures.

Work Experience

Wanrun Li has over a decade of academic and research experience. Currently, he is a Professor and Vice Dean at Lanzhou University of Technology. He previously served as an Associate Professor and Head of the Department of Building Engineering. His international experience includes being a visiting scholar at the University of Illinois Urbana-Champaign and Southeast University, China. Over the years, he has led research initiatives focused on vibration control, fatigue life prediction, and damage identification in large structures such as wind turbines and high-rise buildings.

Skills

Professor Li’s technical expertise includes advanced knowledge in Structural Health Monitoring, Wind Turbine Vibration Control, and Weld Fatigue Analysis. His skills extend to predictive modeling, statistical pattern recognition, and seismic data analysis. He is proficient in developing new devices for vibration reduction, using machine vision technology for turbine blade detection, and applying experimental and multi-scale simulation techniques for assessing fatigue in steel structures. His proficiency with numerical modeling, experimental research, and structural design underpins his research and teaching efforts.

Awards and Honors

Wanrun Li has been recognized with multiple prestigious awards, including the Hongling Outstanding Young Scholar Award at Lanzhou University of Technology (2019-2021) and the Science Fund for Distinguished Young Scholars of Gansu Province (2021-2024). His work has earned several grants from the National Natural Science Foundation of China (NSFC), totaling over ¥1.9 million for projects related to wind turbine structures and vibration control. These honors affirm his significant contributions to structural engineering and disaster prevention.

Membership

Professor Li is actively engaged in several professional organizations, contributing to the advancement of structural health monitoring and civil engineering. He collaborates closely with renowned research groups and institutions, including the University of Illinois Urbana-Champaign and Southeast University. His membership in national scientific communities has enabled him to secure significant research funding and present his findings in both domestic and international conferences.

Teaching Experience

With a passion for mentoring, Professor Li has been an academic instructor at Lanzhou University of Technology since 2013, progressing from instructor to professor. As a faculty member, he has taught courses related to Structural Engineering, Civil Engineering, and Structural Health Monitoring. His role as the Chief Duty Professor for the Hongliu Top-class Major in Civil Engineering reflects his commitment to academic excellence. He also supervises graduate students, guiding them through research projects and fostering a collaborative learning environment.

Research Focus

Professor Li’s research is centered on Structural Health Monitoring, Weld Fatigue Analysis, and Vibration Control of Wind Turbines. He is particularly interested in seismic data analysis of tall structures, wind-induced fatigue of turbines, and developing new devices for reducing tower vibrations. His projects include studies on vibration control using tuned liquid column dampers and fatigue life prediction of wind turbines in harsh environments. His innovative work integrates machine vision technology and UAVs for turbine blade detection, and he has contributed significantly to enhancing structural safety and durability.

Publication top Notes:

“Wind turbine blade defect detection and measurement technology based on improved SegFormer and pixel matching”

    • Year: 2024
    • Journal: Optics & Laser Technology
    • DOI: 10.1016/j.optlastec.2024.111381

“Mitigation of In-Plane Vibrations in Large-Scale Wind Turbine Blades with a Track Tuned Mass Damper”

    • Year: 2023
    • Journal: Structural Control and Health Monitoring
    • DOI: 10.1155/2023/8645831

“Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method”

    • Year: 2022
    • Journal: Buildings
    • DOI: 10.3390/buildings12112021

“Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV”

    • Year: 2022
    • Journal: Remote Sensing
    • DOI: 10.3390/rs14133113

“Seismic Vibration Mitigation of Wind Turbine Tower Using Bi-Directional Tuned Mass Dampers”

    • Year: 2020
    • Journal: Mathematical Problems in Engineering
    • DOI: 10.1155/2020/8822611

“Low-cycle fatigue test and life assessment of carbon structural steel GB Q235B butt joints and cruciform joints”

    • Year: 2019
    • Journal: Advances in Structural Engineering
    • DOI: 10.1177/1369433218795292

“Seismic Performance of a New Precast Concrete Shear Wall with Bolt Connection”

    • Year: 2019
    • Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Science
    • DOI: 10.15961/j.jsuese.201801163

“Time-Varying Nonlinear Parametric Identification of Isolated Structure Based on Wavelet Multiresolution Analysis”

    • Year: 2019
    • Journal: Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
    • DOI: 10.16450/j.cnki.issn.1004-6801.2019.03.024

“Welding Residual Stress Simulation and Experimental Verification in Beam-to-Column Joints of Q345B Steel”

    • Year: 2019
    • Journal: Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
    • DOI: 10.12141/j.issn.1000-565X.190044

 

Assoc. Prof. Dr.Dongdong Li | Vision Sensing Award| Best Researcher Award

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Assoc. Prof. Dr.Dongdong Li | Vision Sensing Award| Best Researcher Award

Assoc. Prof. Dr.Dongdong Li ,National University of Defense Technology,China

Dr. Dongdong Li is an Associate Researcher and Master Tutor at the College of Electronic Science and Technology, National University of Defense Technology (NUDT), Hunan, China. He also serves as the deputy director of the “Distributed Reconnaissance and Countermeasures” program and leads the Vision4Drone research team. Dr. Li earned his PhD in Information and Communication Engineering from NUDT in 2018, with his research focusing on robust visual tracking and UAV vision systems. His academic journey includes a joint doctoral program at the Australian National University and a master’s degree from NUDT. Dr. Li has received several prestigious awards, including the Military Scientific and Technological Progress Second Prize and the Outstanding Doctoral Dissertation Nomination from the China Education Society. He has been recognized as a leading young scientist by various institutions and has presided over numerous significant research projects. Dr. Li is actively involved in editorial and guest editing roles for several high-impact journals and conferences.

Professional Profile:

Google Scholar

Summary of Suitability for the Best Researcher Award: Dongdong Li

Dongdong Li exemplifies the qualities of a leading researcher through his substantial contributions to computer vision and drone technology. His leadership in groundbreaking research, recognition through prestigious awards, active involvement in academic publications and editorial roles, and dedication to teaching and mentorship collectively position him as a highly suitable candidate for the Best Researcher Award. His work not only advances scientific understanding but also has practical implications for technology development and application.

🎓Education:

Dr. Dongdong Li earned his PhD in Information and Communication Engineering from the National University of Defense Technology (NUDT), Changsha, Hunan, China, in December 2018. His dissertation, titled “When Correlation Filters Meet Siamese Networks for Robust Visual Tracking,” was recognized as an Outstanding Doctoral Dissertation of Hunan Province and was supervised by Prof. Gongjian Wen. He completed his Master’s in Information and Communication Engineering at NUDT in December 2014, with his thesis on “Research on Cross-ratio Based Camera Calibration and Vibration Correction in Digital Steak Photogrammetric Measurement,” which received the Excellent Master Dissertation of Hunan Province award, also under the supervision of Prof. Gongjian Wen. Dr. Li obtained his Bachelor’s in Information and Communication Engineering from Wuhan University, China.

🏢Work Experience:

Dr. Dongdong Li has held several prominent academic positions. Since October 2021, he has been an Associate Professor at the College of Electronic Science and Technology, National University of Defense Technology (NUDT), Changsha, Hunan, China. He has also been serving as a Postdoctoral Fellow at the School of Aerospace Science, NUDT, since August 2021, under the guidance of Academician Qifeng Yu. Prior to these roles, Dr. Li was a Lecturer at the School of Electronic Science, NUDT, from December 2018 to September 2021, where he worked with Professor Gongjian Wen. He participated in a Joint Doctoral Program at the School of Computer Science and Engineering, Australian National University, from February 2017 to February 2018, with Professor Fatih Porikli as his co-supervisor. Dr. Li conducted his PhD research at NUDT from March 2015 to December 2018 and completed his Master’s research there from September 2012 to December 2014.

🏆Awards:

Dr. Dongdong Li has received several notable awards for his contributions to his field. In 2020, he was honored with the Second Prize of Military Scientific and Technological Progress and the Outstanding Doctoral Dissertation Nomination Award from the China Education Society. He also received the Excellent Paper Nomination Award at the China Information Fusion Conference in 2021 and the Hunan Province Excellent Doctoral Dissertation Award in the same year. In 2017, he was recognized with the Hunan Excellent Master’s Degree Thesis Award. Dr. Li’s achievements extend to competitive events as well, with his team winning the Graduate Electronic Design Competition National Finals First Prize in 2022. He also served as the Second Prize Instructor for the Army’s “Maker Action-2022” Big Data Application Track and was an advisor for teams that earned Third Prizes at both the 5th China Graduate Robot Innovation Design Competition and the 5th China Graduate Artificial Intelligence Innovation Competition in 2023.

Publication Top Notes:

  • Title: Bioinspired Multi-Stimuli Responsive Actuators with Synergistic Color-and Morphing-Change Abilities
    • Citations: 127
  • Title: Template-Based Synthesis and Magnetic Properties of Cobalt Nanotube Arrays
    • Citations: 126
  • Title: Overcoming the Strength–Ductility Trade-Off by Tailoring Grain-Boundary Metastable Si-Containing Phase in β-Type Titanium Alloy
    • Citations: 100
  • Title: Flexible Solar Cells Based on Foldable Silicon Wafers with Blunted Edges
    • Citations: 95
  • Title: The Study on Oxygen Bubbles of Anodic Alumina Based on High Purity Aluminum
    • Citations: 82