Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

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Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

Professional Profile:

SCOPUS

Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education 🎓

  • Master of Engineering
    Harbin Engineering University
    September 2005 – March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 – August 2005

Work Experience 💼

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 – Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 – March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 – September 2010

Achievements 🏆

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publication Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle

Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award

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Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award 

Prof. Yoon-Gyung Sung, Chosun University, South Korea

Yoon-Gyung Sung is a distinguished professor in the Department of Mechanical Engineering at Chosun University, South Korea, where he has been a faculty member since 2001. He earned his B.S. degree in machine design from Yeungnam University in 1982, followed by an M.S. degree in mechanical vibration and control from Yonsei University in 1987. He completed his Ph.D. at The University of Alabama in 1997, specializing in the nonlinear control of large flexible systems. Dr. Sung was a postdoctoral fellow at the Korea Atomic Energy Research Institute (KAERI) from 1998 to 2000, where he further developed his expertise in control systems. His research interests encompass nonlinear system control, multiple robotics, input shaping control, and intelligent mechatronics, contributing significantly to advancements in these fields.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Yoon-Gyung Sung is a distinguished academic in the field of mechanical engineering, holding degrees from prominent institutions: a B.S. in machine design from Yeungnam University (1982), an M.S. in mechanical vibration and control from Yonsei University (1987), and a Ph.D. from The University of Alabama, focusing on nonlinear control of large flexible systems (1997). He has been a faculty member at Chosun University since 2001 and currently serves as a full professor.

Education

  • Ph.D. in Mechanical Engineering
    The University of Alabama, USA
    Specialization: Nonlinear Control of Large Flexible Systems
    Year: 1997
  • M.S. in Mechanical Engineering
    Yonsei University, South Korea
    Specialization: Mechanical Vibration and Control
    Year: 1987
  • B.S. in Machine Design
    Yeungnam University, South Korea
    Year: 1982

Work Experience

  • Full Professor
    Department of Mechanical Engineering, Chosun University, South Korea
    Year: 2001 – Present
  • Postdoctoral Fellow
    Korea Atomic Energy Research Institute (KAERI)
    Years: 1998 – 2000

Publication top Notes:

Robust Input Shaping Commands with First-Order Actuators

Development of highly sensitive/durable porous carbon nanotube-polydimethylsiloxane sponge electrode for wearable human motion monitoring sensor

Robust Input Shapers for Acceleration-Limit Actuators

Design of a tribotester based on non-contact displacement measurements

Deflection reduction shaping commands with asymmetric first-order actuators

On–Off Shaping Commands for Asymmetrically Delayed Second-Order Actuators

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
💊💡🤳