Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation

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Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation 

Prof. Xiaoxia Wan, Wuhan University, China

Wan Xiaoxia, is a distinguished professor and doctoral supervisor specializing in color science and technology. She is currently a faculty member in the Department of Printing and Packaging at Wuhan University, where she has served since 2018. Wan holds a Ph.D. in Cartography and Geographic Information Systems from Wuhan University, and her educational background includes a Master’s in Geographic Information Systems and a Bachelor’s in Cartography from the same institution. Her academic journey was enriched by her experience as a senior visiting scholar at the Munsell Color Science Laboratory, California State University, and Rochester Institute of Technology. In addition to her teaching role, she holds several significant positions, including Deputy Director of the Teaching Guidance Committee for Light Industry Majors of the Ministry of Education and member of both the China Printing and Color Standardization Technical Committees. Wan has received numerous awards for her teaching and research, including the National Excellent Course designation for her course “Introduction to Printing” and recognition as a leading talent in the news and publishing industry. Her research has led to successful projects funded by the National Natural Science Foundation of China, focusing on color reproduction methods for cultural relics. Wan’s contributions to her field have been acknowledged through several prestigious awards, including the Hubei Science and Technology Progress Award and the China National Textile and Apparel Council Science and Technology Award.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Innovation: Wan Xiaoxia

Dr. Wan Xiaoxia is a highly qualified candidate for the Excellence in Innovation award, distinguished by her extensive contributions to color science and technology, particularly in the realm of printing and packaging. Her pioneering research and leadership roles in various educational and professional organizations reflect her commitment to advancing innovation in her field.

Education 🎓

  • Senior Visiting Scholar
    Munsell Color Science Laboratory, California State University, Los Angeles and Rochester Institute of Technology (2004-2006)
  • Ph.D. in Engineering
    Cartography and Geographic Information Systems, Wuhan University (1995-2002)
  • Master of Engineering
    Geographic Information Systems, Wuhan University of Surveying and Mapping (1992-1995)
  • Bachelor of Engineering
    Cartography, Wuhan University of Surveying and Mapping (1982-1986)

Work Experience 💼

  • Professor & Doctoral Supervisor
    Department of Printing and Packaging, Wuhan University (2018-present)
  • Vice Dean
    School of Journalism and Communication, Wuhan University (2000-present)
  • Lecturer
    School of Printing Engineering, Wuhan University of Surveying and Mapping (1996-2000)
  • Teaching Assistant
    Department of Cartography, Wuhan University of Surveying and Mapping (1986-1992)
  • Doctoral Supervisor
    School of Printing and Packaging, Wuhan University (2004-present)

Achievements 📚

  • National Excellent Course
    “Introduction to Printing” (2008)
  • National Excellent Shared Course
    “Introduction to Printing” (2010)
  • National Bi Sheng Newcomer Award (2009)
  • Suzhou Industrial Park Leading Talent (2012)
  • Hubei Province News and Publishing Figures (2012)
  • National News and Publishing Industry Leading Talent (2013)
  • Wuhan City Huanghe Talent (2014)
  • Wuhan University Excellent Teaching and Research Achievement First Prize (2008)
  • Hubei Province Higher Education Teaching Achievement First Prize (2008, 2018)

Awards & Honors 🏆

  • Second Prize of Hubei Science and Technology Progress Award
    Key Technology and Application of Color Reproduction Based on Spectrum (2020)
  • Dunhuang Academy “Excellent Academic Achievement Award”
    Protection Technology Category, Second Prize (2017)
  • China National Textile and Apparel Council Science and Technology Award
    Key Technology and Industrialization of Full-Color Yarn Manufacturing, Second Place (2016)

Publication Top Notes:

A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm

Enhancement of laser-induced surface coloring through laser double-scan method

Prediction model for laser marking colors based on color mixing

A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends

Dynamic Projection Method of Electronic Navigational Charts for Polar Navigation

Spectral missing color correction based on an adaptive parameter fitting model

 

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

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Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Prof. Hamed Dalir, University of Florida, United States

Hamed Dalir, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida, where he also serves as the Director of the CHIP Lab. With a strong background in electronics and applied physics, Dr. Dalir specializes in quantum devices, novel semiconductor technologies, and the integration of AI and machine learning systems. He has received numerous accolades throughout his career, including the AFWERX Commercialization Solution Award (2022) and the Young Scientist Award from the Japan Society for the Promotion of Science

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Hamed Dalir, Ph.D.

Candidate Overview
Dr. Hamed Dalir is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida and the Director of the CHIP Lab. With a robust academic background and extensive research experience, Dr. Dalir has established himself as a leader in the fields of electronics, photonics, and quantum technology.

Education 🎓

  • Postdoctoral Fellow in Quantum Computing
    NSF Nano-scale Science and Engineering Center, University of California, Berkeley, CA, USA
    01/2015 – 01/2017
    NSF Fellowship: $92,500
  • Postdoctoral Fellow in Electronics & Applied Physics
    Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
    04/2014 – 01/2015

    • Winner of Global Center of Excellence (GCOE): ¥1,200,000
    • Fellow of JSPS (Japan’s NSF): ¥13,000,000
  • Doctor of Philosophy (Ph.D.) in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    08/2011 – 04/2014
  • Master of Engineering in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    09/2009 – 08/2011
  • International Study Experience
    • ECE Institute of Studies Scientifiques, France (Summer 2012)
    • ECE Stanford University, USA (Summer 2013)
    • ECE Würzburg University, Germany (Summer 2011)
    • ECE St. Petersburg University, Russia (Summer 2011)

Work Experience 💼

  • Associate Professor
    Department of Electrical and Computer Engineering, University of Florida
    06/2023 – Present

    • Deputy Director of Florida Semiconductor Institute
  • Founder, Qbyte LLC
    01/2024 – Present
  • Associate Professor
    Department of Electrical and Computer Engineering, The George Washington University
    01/2021 – 08/2023

    • Founder & CEO, Optelligence LLC (01/2021 – 05/2023)
  • Associate Editor
    • EPJ Quantum Technology | Nature Springer (01/2023 – Present)
    • Frontiers in Electronics | Flexible Electronics (01/2021 – Present)
  • AR/VR Program Manager
    OSRAM, Minneapolis, MN, USA
    10/2020 – 01/2021
  • Principal Investigator, Chief Scientist
    UT Austin’s Spin-off, Austin, TX, USA
    07/2018 – 09/2020
  • Senior Research Scientist
    11/2016 – 06/2018
  • RF Senior Researcher
    Berkeley Wireless Research Center (BWRC), Berkeley, CA, USA
    02/2015 – 10/2016
  • Visiting Researcher
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
    02/2015 – 09/2016
  • Principal Investigator
    Japan Society for the Promotion of Science, Tokyo, Japan
    10/2009 – 01/2015

Achievements & Awards 🏆

  • 2022: AFWERX Commercialization Solution Award
  • 2021: AFOSR Research Grant
  • 2014: Young Scientist Award from the Japan Society for the Promotion of Science
  • 2013: Inventor of a novel semiconductor laser (in commercialization stage with Fuji Xerox)
  • 2012: Golden Award from the Global Center of Excellence (GCOE)
  • 2009: Yoshida Foundation Award for Development of Future Leaders for Changing Times

Publication Top Notes:

Athermal broadband graphene optical modulator with 35 GHz speed

CITED:224

Massively parallel amplitude-only Fourier neural network

CITED:196

29 GHz directly modulated 980 nm vertical-cavity surface emitting lasers with bow-tie shape transverse coupled cavity

CITED:164

Electronic-photonic arithmetic logic unit for high-speed computing

CITED:139

Sub-wavelength GHz-fast broadband ITO Mach–Zehnder modulator on silicon photonics

CITED:127

0.52 V mm ITO-based Mach-Zehnder modulator in silicon photonics

CITED:127

 

Dr. Sastry Jammalmadaka | Wireless Sensors Awards | Best Faculty Award

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Dr. Sastry Jammalmadaka | Wireless Sensors Awards | Best Faculty Award 

Dr. Sastry Jammalmadaka, KLEF University, India

Dr. JKR Sastry is a distinguished academic and industry professional with over 48 years of experience in the fields of management, engineering, and technology. He holds multiple advanced degrees, including a PhD in Management from Andhra University (2005) and a PhD in Computer Science and Engineering from JNTU Hyderabad (2014). Dr. Sastry’s academic background is further complemented by an array of diplomas and master’s degrees in subjects such as control engineering, applied statistics, and business administration, all earned from renowned institutions like Andhra University and the University of Leeds.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Faculty Award:

Dr. J.K.R. Sastry is a highly qualified and experienced candidate for the Best Faculty Award. His academic credentials are extensive, with numerous advanced degrees in engineering, management, and applied statistics, including a Ph.D. in Management (2005) and a Ph.D. in Computer Science and Engineering (2014). He has consistently demonstrated academic excellence, having earned top grades in all his degrees, with first-class results across the board.

Education:

  1. Diplomas:
    • Russian Language and Literature (1976) – First Class, 62% – Andhra University
    • Cobol Programming (1980) – A+ – Computer Maintenance Corporation
    • Real-Time Data Acquisition (1989) – IHC Holland
    • Project Management (1990) – Administrative Staff College of India
    • Private Sector Management (1991) – UK, Leeds University
  2. Undergraduate:
    • Bachelor of Engineering (Electrical Engineering) (1974) – First Class, 74% – Andhra University
  3. Postgraduate:
    • Master of Engineering (Control Engineering) (1977) – First Class, 77% – Andhra University
    • Master of Business Administration (Finance) (1989) – First Class, 74% – Andhra University
    • Master of Science (Applied Statistics) (1977) – First Class, 62% – Andhra University
  4. Ph.D.:
    • PhD in Management (2005) – Andhra University
    • PhD in Computer Science and Engineering (2014) – JNTU Hyderabad

Work Experience:

Teaching Experience: (23 Years 4 Months)

  1. Andhra University
    • Position: Part-Time Professor, Department of CSE
    • Duration: Dec 1983 – April 1988 (53 months)
  2. Sant Samard Engineering College
    • Position: Principal
    • Duration: Jan 2003 – Dec 2003 (12 months)
  3. Tirumala Engineering College
    • Position: Vice Principal
    • Duration: Jan 2004 – Dec 2004 (12 months)
  4. Gurunank Engineering College
    • Position: Director
    • Duration: Jan 2005 – Jul 2005 (7 months)
  5. KL College of Engineering
    • Position: Professor
    • Duration: August 2005 – February 2009 (43 months)
  6. K L University
    • Position: Professor and Dean (R&D)
    • Duration: March 2009 – February 2013 (36 months)
    • Position: Professor and Dean (P&D)
    • Duration: March 2013 – February 2016 (36 months)
    • Position: Professor and Advisor (Quality)
    • Duration: March 2016 – Till Date (100 months)

Total Teaching Experience: 299 months

Industrial Experience: (25 Years 5 Months)

  1. Fertilizer (Planning and Development) India Limited
    • Position: Sr. Programmer
    • Duration: Jul 1977 – Dec 1982 (Sindri, Dhanbad, Newfound Land, CANADA)
  2. Larsen and Toubro Limited (Utkal Machinery Limited)
    • Position: Analyst Programmer
    • Duration: Dec 1982 – Dec 1983 (Kansbhal, Rourkela)
  3. Viskha Steel Limited
    • Position: Manager (Systems)
    • Duration: Dec 1983 – Jul 1985 (Visakhapatnam, Moscow)

Publication top Notes:

AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing

Comparison of various algorithms used for clustering sensors at device level in an IoT network

ENHANCED FEATURE-DRIVEN MULTI-OBJECTIVE LEARNING FOR OPTIMAL CLOUD RESOURCE ALLOCATION

Mining Negative Associations from Medical Databases Considering Frequent, Regular, Closed and Maximal Patterns

Enhancing the Fault Tolerance of a Multi-Layered IoT Network through Rectangular and Interstitial Mesh in the Gateway Layer

Gabriel Danciu | Intelligent sensing | Excellence in Research

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Mr. Gabriel Danciu | Intelligent sensing | Excellence in Research

Lecturer at Transilvania University, Romania

Danciu Gabriel is a prominent researcher and educator from Romania, specializing in electrical engineering and computer science. Currently serving as a Şef lucrări at the University of Transilvania in Brașov, he combines his academic role with practical experience as an engineer and manager at Siemens. With a robust publication record exceeding 50 papers, Gabriel is recognized for his contributions to artificial intelligence, image processing, and software architecture. He is an active member of the IEEE and has presented at numerous international conferences. His commitment to education is reflected in his mentoring roles and project coordination, making him a vital part of the academic community. Gabriel’s expertise in developing algorithms for RGB-D cameras and his innovative research approaches have earned him respect in the field. He aims to bridge theoretical knowledge with practical applications, enhancing technological advancements and shaping the next generation of engineers.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Experience: Gabriel has over 15 years of experience in academia and industry, demonstrating a strong commitment to both education and research.
  2. Publication Record: With over 50 published works, he shows a robust contribution to fields such as AI, image processing, and software architectures, indicating high productivity and impact in his research area.
  3. Diverse Skill Set: His competencies in various programming languages (C++, C#, Python) and expertise in software architecture showcase his technical proficiency, which is critical for modern research.
  4. Leadership Roles: As a Şef lucrări (Head of Department) and an engineer at Siemens, he has proven leadership capabilities, indicating his ability to manage projects and mentor others effectively.
  5. International Engagement: Participation in over 5 European projects and presentations at numerous conferences reflects his active engagement with the global research community.
  6. Research Innovation: His focus on cutting-edge topics like AI and image processing highlights his relevance and adaptability to current technological trends.

Areas for Improvement:

  1. Language Proficiency: While he is proficient in English, improving his German skills could enhance his collaboration opportunities in Europe, particularly in multilingual environments.
  2. Broader Collaboration: Expanding his research network beyond existing affiliations could lead to more interdisciplinary projects and greater innovation.
  3. Public Engagement: Increasing visibility through popular science publications or community outreach could enhance his impact beyond the academic sphere.
  4. Mentoring: Actively seeking to mentor younger researchers or students could foster new talent in the field and enhance his leadership profile.

Education:

Danciu Gabriel pursued his academic journey at the University of Transilvania in Brașov, where he obtained his Bachelor’s degree in Automatică și Informatică Industrială in 2004. He continued his studies at the same institution, completing a Master’s degree in Electrical Engineering and Telecommunications in 2006. Gabriel then earned his Ph.D. in 2014, focusing on developing algorithms for image processing using RGB-D cameras. His educational background laid a solid foundation for his future roles in academia and industry. As an Asistent universitar from 2007 to 2022, he dedicated himself to teaching and research, culminating in his current position as Șef lucrări, where he engages in educational leadership, research activities, and administrative duties. Gabriel’s academic achievements are complemented by ongoing professional development, ensuring that he stays at the forefront of technological advancements and educational methodologies in his field.

Experience:

Danciu Gabriel boasts extensive professional experience spanning over 15 years in both academia and industry. He began his career as a Software Engineer at Dynamic Ventures from 2005 to 2017, where he focused on research, mentorship, and software development. In 2018, he transitioned to Siemens as an Engineer, Researcher, and Manager, where he continues to work on innovative research projects while mentoring emerging talent. Concurrently, he has held various academic positions at the University of Transilvania, serving as an Asistent universitar for 15 years before advancing to Şef lucrări in 2022. His dual role allows him to integrate theoretical knowledge with practical applications, contributing to the growth of his students and the advancement of technology. Gabriel’s experience is characterized by a commitment to education, research innovation, and leadership, positioning him as a key figure in the fields of electrical engineering and computer science.

Research Focus:

Danciu Gabriel’s research primarily revolves around artificial intelligence, image processing, and software architecture, with a specific emphasis on RGB-D cameras. His work in developing innovative algorithms for depth image analysis has significantly contributed to advancements in computer vision and signal processing. Gabriel has published over 50 papers in renowned journals and conferences, exploring various topics, including noise pollution monitoring, functional verification in digital designs, and object tracking methods. He actively participates in European projects, collaborating with interdisciplinary teams to address real-world challenges through technology. Gabriel is passionate about integrating theoretical concepts with practical applications, aiming to improve the efficiency and accuracy of image processing techniques. His ongoing research endeavors focus on enhancing machine learning models and exploring new avenues in automated systems, positioning him at the cutting edge of technological innovation in the fields of engineering and computer science.

Publication Top Notes:

  • Shadow removal in depth images morphology-based for Kinect cameras 🌌
  • Objective erythema assessment of Psoriasis lesions for PASI evaluation 🌿
  • A novel approach for face expressions recognition 😊
  • Improved contours for ToF cameras based on vicinity logic operations 🖼️
  • Cost-efficient approaches for fulfillment of functional coverage during verification of digital designs 💻
  • Coverage fulfillment automation in hardware functional verification using genetic algorithms 🔍
  • Extended control-value emotional agent based on fuzzy logic approach 🤖
  • Scale and rotation-invariant feature extraction for color images of iris melanoma 🌈
  • Level up in verification: Learning from functional snapshots 📊
  • Noise pollution monitoring using mobile crowd sensing and SAP analytics 📱
  • Debugging FPGA projects using artificial intelligence 🧩
  • Debug FPGA projects using machine learning 📈
  • Efficient analysis of digital systems’ supplied data ⚙️
  • Method proposal for blob separation in segmented images 🔍
  • Solutions for Roaming and Interoperability Problems Between LTE and 2G or 3G Networks 📶
  • Methods of Object Tracking 🕵️‍♂️
  • Adaptive Scaling for Image Sensors in Embedded Security Applications 🔒
  • A method proposal of scene recognition for RGB-D cameras 🌍
  • Genetic algorithm for depth images in RGB-D cameras 🔧
  • Hierarchical contours based on depth images 🗺️

Conclusion:

Gabriel Danciu demonstrates a strong profile as a candidate for the Best Researcher Award, with a solid foundation in research, a wealth of experience, and a proven track record of publications and collaborations. By addressing the suggested areas for improvement, particularly in broader engagement and mentorship, he could further strengthen his candidacy and impact in the research community.

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

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Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network

 

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

 

Prof. Sebastiano Imposa | Piezoelectric sensor Award | Best Researcher Award

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Prof. Sebastiano Imposa | Piezoelectric sensor Award | Best Researcher Award 

Prof. Sebastiano Imposa, University of Catania, Italy

An accomplished geophysicist, Dr. Sebastiano Imposa has served as an Associate Professor in Applied Geophysics (GEO/11) at the University of Catania since March 2019. He earned his MSc in Geological Sciences from the University of Catania in July 1982 and achieved professional qualification in Geology in June 1987. Prior to his current position, he was an Assistant Professor from November 1990 to February 2019 and has been an advisor to the National University Council since February 2017. Dr. Sebastiano Imposa has a distinguished research career, focusing on applied geophysical surveys for cultural heritage characterization, seismic response evaluation, and microzonation. He has authored approximately 200 papers, 7 monographs, and over 100 technical reports, contributing significantly to the field. He has led several research projects funded by MIUR and C.N.R., including studies on volcanic activity and seismic hazard assessment in eastern Sicily. His international experience includes a fellowship at the Institute de Physique du Globe in Paris, where he analyzed seismic data from satellite networks. Dr. [Name] remains actively engaged in both national and international research collaborations aimed at enhancing the understanding of geological and environmental processes.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Current Position:
The individual holds a prestigious role as an Associate Professor in Applied Geophysics (GEO/11) at the University of Catania since March 2019. They achieved the full professorship qualification in December 2019, showcasing their expertise and recognition within the academic community. As a National University Council advisor since 2017, they have an active role in shaping academic policy and direction.

🎓 Education and Training

  • MSc in Geological Sciences from the University of Catania (July 1982)
  • Professional qualification in Geology (June 1987)

🔬 Research Focus

His extensive research includes applied geophysical surveys for the conservation of cultural heritage, local seismic response evaluations, seismic microzonation, and dynamic characterization of strategic buildings using passive seismic surveys. He has contributed to numerous projects investigating seismic and volcanic activities in Sicily, with over 200 papers in national and international journals and conferences, 7 monographs, and more than 100 scientific reports.

📚 Key Projects

  • Physical phenomena precursors of volcanic eruptions (1991)
  • Seismogenic structure identification on Mount Etna (1993)
  • Seismic microzonation in southeastern Sicily (2002)
  • Analysis of Etna’s tectonic structures and deformation (2014)
  • Member of the Italy-Tunisia cross-border cooperation project MIAREM (2019-2022)

💡 Honors and Impact

His research plays a pivotal role in the geophysical analysis of environmental and cultural heritage in the Mediterranean region, contributing to risk assessment, environmental protection, and public safety.

Publication top Notes:

Vibration Analysis at Castello Ursino Picture Gallery (Sicily, Italy) for the Implementation of Self-Generating AlN-MEMS Sensors

Deformed archeological remains at Lilybaeum in Western Sicily (southern Italy) as possible ground signatures of coseismically-slipped fault in the area

Engineering Geological and Geophysical Studies Supporting Finite Element Analysis of Historical Buildings after Dynamic Identification

Integration of Geophysical Survey Data for the Identification of New Archaeological Remains in the Subsoil of the Akrai Greek Site (Sicily, Italy)

Extended Tromograph Surveys for a Full Experimental Characterisation of the San Giorgio Cathedral in Ragusa (Italy)

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. Jin Wang | Field Sensing Award | Best Researcher Award

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Assoc Prof Dr. Jin Wang | Field Sensing Award | Best Researcher Award

Assoc Prof Dr. Jin Wang, China University of Geosciences, China

Dr. Jin Wang is an Associate Professor in the Department of Communication Engineering at China University of Geosciences (CUG) in Wuhan, China, where he has been a faculty member since May 2009. He earned his Doctoral Degree in Physical Electronics from Huazhong University of Science and Technology (HUST), and his research focuses on optical electric field sensors, fluorescence and Raman spectroscopy, and free-space optical communications systems. Dr. Wang’s expertise spans several areas including waveguide analysis, optical design, and multispectral fluorescence methods for environmental monitoring. His notable contributions include research on bismuth germanate (BGO) crystal sensors, oil pollution detection using multispectral techniques, and advancements in free-space optical communication technologies. Dr. Wang has held previous positions as a Postdoctoral Researcher at HUST and has worked in both industry and academic roles in the field of optical and electronic engineering.

Professional Profile:

Summary of Suitability for Best Researcher Award: 

Dr. Jin Wang is an accomplished Associate Professor at China University of Geosciences with a strong research portfolio spanning optical electric field sensors, free-space optical communication, and multispectral fluorescence detection methods. His research covers innovative topics such as waveguide fabrication using femtosecond lasers, oil pollution detection using multispectral fluorescence, and the development of robust communication systems for extreme environmental conditions.

Education:

  • Doctoral Degree in Physical Electronics (09/2000 – 09/2006)
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, China
    Dissertation: “Studies on Adaptive Reception Technology in Optical Wireless Communication”
  • Master’s Degree in Electrical Engineering (09/1997 – 03/2000)
    Ordnance Engineering College, Shijiazhuang, China
    Thesis: “Design of Ultra Wideband Dipole Antenna in the Measurement of Electromagnetic Fields”
  • Bachelor’s Degree in Electrical Engineering (09/1993 – 07/1997)
    Ordnance Engineering College, Shijiazhuang, China

Work Experience:

  • Associate Professor and Associate Director (05/2009 – Present)
    Department of Communication Engineering, China University of Geosciences (CUG), Wuhan, China
    Responsible for teaching, research on optical electric field sensors, and overseeing research projects related to optical communication systems and multispectral fluorescence detection.
  • Postdoctoral Researcher in Communication Engineering (09/2006 – 04/2009)
    Huazhong University of Science and Technology (HUST), Wuhan, China
    Conducted research on free-space optical (FSO) communication systems and developed new techniques for adaptive reception over optical turbulence channels.
  • Photoelectric Design Engineer (11/2005 – 07/2008)
    Wuhan Mengxin Technology CO., LTD, Wuhan, China
    Worked on designing LCOS-based projectors, focusing on optical engine development, cooling systems, and enhancing LED brightness and contrast through optical designs.
  • Digital Circuit Design Engineer (11/1999 – 09/2000)
    Beijing University of Aeronautics and Astronautics, Beijing, China
    Designed digital circuits for fiber optic gyroscopes and worked on output signal simulation systems for fiber optics.

Publication top Notes:

 

Integrated Optical Waveguide Electric Field Sensors Based on Bismuth Germanate