Assoc. Prof. Dr. Haining Xiao | Intelligent Manufacturing | Best Researcher Award

Posted on by Global Sensor Awards

Assoc. Prof. Dr. Haining Xiao | Intelligent Manufacturing | Best Researcher Award 

Assoc. Prof. Dr. Haining Xiao | Yancheng Institute of Technology | China

Xiao Haining is a dedicated scholar in the field of mechanical and intelligent manufacturing systems, recognized for his strong contributions to multi-robot system optimization and control. He currently serves as an Associate Professor in the Department of Intelligent Manufacturing at Yancheng Institute of Technology, where he leads academic and research initiatives that intersect mechanical engineering and intelligent automation. With a career marked by consistent academic progression, Dr. Xiao has developed a professional identity centered on applied robotics, collaborative automation, and advanced control strategies in intelligent manufacturing environments. His deep-rooted commitment to interdisciplinary integration has helped in shaping emerging technological landscapes and advancing automation practices in industrial settings.

Professional Profile:

ORCID

Summary of Suitability

Dr. Xiao Haining is a highly qualified and dedicated researcher in the field of mechanical engineering, with a focused specialization in the optimization and control of multi-robot systems. His academic background and professional trajectory demonstrate a consistent commitment to advancing intelligent manufacturing technologies.

Education

Xiao Haining began his academic journey by earning a Bachelor of Engineering degree in Mechanical Engineering from Yancheng Institute of Technology. His pursuit of deeper technical knowledge and research excellence led him to complete a Doctorate in Mechanical Engineering at Nanjing University of Aeronautics and Astronautics. During his doctoral training, he developed a strong foundation in automation theory, system dynamics, and mechanical design optimization, which would become central to his later research efforts. His education equipped him with both theoretical insights and practical tools essential for solving complex industrial automation challenges, forming the basis for his innovative contributions to multi-robot coordination and control.

Professional Experience

Currently positioned as an Associate Professor at Yancheng Institute of Technology, Dr. Xiao has spent several years in academia where he has blended teaching, mentoring, and research leadership. His role involves the supervision of graduate projects, collaborative research with industry, and active participation in the development of intelligent manufacturing curricula. In his academic career, he has contributed to several collaborative projects in mechanical automation, focusing particularly on multi-robot system configurations and adaptive control techniques. His professional trajectory reflects a balanced commitment to pedagogy and research, with an emphasis on bringing laboratory innovation to industrial applications.

Research Interest

Dr. Xiao’s primary research interest lies in the optimization and control of multi-robot systems within intelligent manufacturing frameworks. His work addresses the growing demand for efficient robotic collaboration, path planning, and task allocation in automated production lines. He investigates control algorithms, coordination protocols, and optimization models that enhance the performance and reliability of robot collectives operating in dynamic environments. His approach is multidisciplinary, integrating elements of control theory, machine learning, and mechanical system design. This focus positions his work at the intersection of robotics, artificial intelligence, and industrial automation, contributing to the development of smarter and more adaptable manufacturing processes.

Awards

Throughout his academic career, Dr. Xiao has received multiple recognitions for excellence in research and teaching. He has been honored with institutional awards for outstanding faculty performance, and his contributions to collaborative robotics have been acknowledged in provincial-level innovation competitions. His leadership in robotics research has also been highlighted through invitations to speak at national technical forums and his role in funded research projects aimed at advancing smart manufacturing practices.

Publication Top Notes

Task Travel Time Prediction Method Based on IMA-SURBF for Task Dispatching of Heterogeneous AGV System

Conclusion

Dr. Xiao Haining exemplifies academic excellence and innovation in the field of intelligent manufacturing and robotics. His balanced contribution to research, teaching, and technological development marks him as a significant figure in advancing multi-robot systems and control strategies. With a solid educational background, strong publication record, and recognized awards, he continues to drive impactful research that addresses practical challenges in automated manufacturing systems. His career demonstrates a sustained commitment to improving robotic collaboration and adaptability in complex environments, making him a deserving candidate for distinguished academic recognition.

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan

Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

  • 📍 B.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1982

  • 📍 M.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1986

  • 🌎 Ph.D. in Electrical and Computer Engineering
    University of Arizona, Tucson, USA – 1993

💼 Work Experience

  • 👨‍🏫 Distinguished Professor
    Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
    – Current

🌟 Key Achievements

  • 🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)

  • 🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems

  • 🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges

  • 📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

  • 🥇 Recognized as a Distinguished Professor at NYUST

  • 🏆 Multiple accolades and recognitions for industry collaboration and academic excellence

  • 🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Mr. Xi Tianyu | Automation Award | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Xi Tianyu | Automation Award | Best Researcher Award

Mr. Xi Tianyu, Northeastern University, China

Dr. Xi Tianyu is a professor and doctoral supervisor at the Northeastern University School of Architecture, specializing in sustainable architecture, architectural technology, and green living. He has led over 10 national and provincial research projects, published more than 50 papers, and holds three authorized patents. He has contributed to national and industry standards, authored textbooks, and received multiple awards for teaching and research excellence. Dr. Xi is actively involved in several professional committees, including the China Urban Science Research Association and the China Engineering Construction Standardization Association, and is a member of international organizations such as ISIAQ and AIJ.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Xi Tianyu is a highly accomplished researcher in sustainable architecture, with extensive contributions to green building technologies, energy conservation, and thermal comfort optimization. His leadership in over 10 national and provincial research projects, along with 50+ published papers and multiple patents, demonstrates his strong research impact. His involvement in national standards development, textbook authorship, and architectural design competitions further highlights his influence in academia and industry. Given his outstanding research, academic leadership, and numerous accolades, Dr. Xi Tianyu is a highly suitable candidate for the Best Researcher Award.

📚 Education & Work Experience

🎓 Doctor of Engineering
🏫 Professor & Doctoral Supervisor at Northeastern University School of Architecture

🏆 Achievements

🔬 Led 10+ research projects (national, provincial, and local), including:

  • 🇨🇳 National Natural Science Foundation Key Project sub-projects
  • 🎯 National Natural Science Foundation Youth Fund

📄 Published 50+ research papers
📜 3 authorized patents
📘 Co-authored 5 national & industry standards
📖 Contributed to 2 textbooks & authored 1 book (funded by National Publishing Fund)

🎨 Guided 10+ international & domestic architectural design competitions, winning:
🥇 Gu Yu Cup First Prize
🏅 AIM Cup Special Prize
🥉 China Habitat Environment Design Annual Award Bronze Award (2023)

🎖️ Awards & Honors

🏆 Northeastern University Teaching Achievement Awards:

  • 🥇 First Prize (2024)
  • 🥈 Second Prize (2022)
    🎓 Excellent Teaching Plan Award
    📜 Excellent Homework Guide Award
    📖 Excellent Paper Award (Chinese Higher Education Architecture Teaching Guidance Committee)

Publication Top Notes:

Analysis of the Characteristics of Heat Island Intensity Based on Local Climate Zones in the Transitional Season of Shenyang

 

Optimization of Residential Indoor Thermal Environment by Passive Design and Mechanical Ventilation in Tropical Savanna Climate Zone in Nigeria, Africa

 

A preliminary study of multidimensional semantic evaluation of outdoor thermal comfort in Chinese

 

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

A Review of Thermal Comfort Evaluation and Improvement in Urban Outdoor Spaces

Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher Award

Posted on by Global Sensor Awards

Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher Award 

Assoc. Prof. Dr. Mona Aboueleaz, Mansoura University, Egypt

Dr. Mona AbouEleaz is an Associate Professor in the Production Engineering and Mechanical Design Department at the Faculty of Engineering, Mansoura University, Egypt. She holds a Ph.D. in Production Engineering from Mansoura University, where her research focused on integrating Lean Six Sigma practices into organizational quality management systems. She also earned an M.Sc. in Industrial Engineering from Alexandria University and a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors as the top-ranked student. Dr. AbouEleaz has extensive academic and research experience, having served as a postdoctoral researcher at the University of Calgary, Canada, and a visiting lecturer at the University of Central Lancashire, UK. In addition to her teaching and research, she has held several administrative and managerial roles, including Executive Director of the University Center for Career Development at Mansoura University and Coordinator of multiple international collaboration programs with institutions such as Kyushu University, Japan, and UCLAN, UK. She has also contributed significantly to accreditation, quality assurance, and strategic planning initiatives at Mansoura University. Dr. AbouEleaz is an expert consultant in industrial engineering and quality system management planning and has played a key role in advancing engineering education and institutional development in Egypt.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Research for Women Researcher Award 

Dr. Mona AbouEleaz is a highly accomplished researcher and academic in the field of Production Engineering and Mechanical Design. Her extensive experience spans over two decades, demonstrating her dedication to advancing engineering research and education. Below are key factors supporting her suitability for the Research for Women Researcher Award

🎓 Education:

  • Ph.D. in Production Engineering (2010-2015) 🏅
    Thesis: “Lean Six Sigma Practices into an Organizational Quality Management System”
    Faculty of Engineering, Mansoura University, Egypt
  • M.Sc. in Industrial Engineering (2005-2008) 🎯
    Thesis: “Hierarchic Framework for Quality Improvement Approaches”
    Faculty of Engineering, Alexandria University, Egypt
  • B.Sc. in Production Engineering & Mechanical Design (Ranked 1st, Very Good with Honor) 🏆
    Faculty of Engineering, Mansoura University, Egypt

💼 Professional Experience:

  • Associate Professor (Present) 👩‍🏫
    Production Eng. & Mechanical Design Dept., Faculty of Engineering, Mansoura University, Egypt
  • Visiting Lecturer (Aug 2019) ✈️
    School of Engineering, University of Central Lancashire, UK
  • Postdoctoral Researcher (Jun – Dec 2018) 🔬
    Schulich School of Engineering, Mechanical & Manufacturing Engineering Dept., University of Calgary, Canada
  • Lecturer (Dec 2015 – Present) 📚
    Mansoura University, Egypt
  • Lecturer Assistant (May 2009 – Dec 2015) 🎓
    Mansoura University, Egypt
  • Demonstrator (Mar 2003 – May 2009) 🏗️
    Mansoura University, Egypt

🏆 Achievements & Honors:

  • Executive Director of University Center for Career Development, Mansoura University (2023 – Present)
  • Erasmus+ Coordinator for Student & PhD Mobility Programs between Mansoura University & UCLAN, UK 🇬🇧
  • Established student mobility programs with Kyushu University, Japan 🇯🇵 (2021)
  • Head of Institutional Accreditation Committee for Student Affairs at Mansoura University (2020 – Present)
  • Quality Assurance Coordinator of Production Eng. Dept. (2018 – Present) ✅
  • Coordinator of International Relations Office, Mansoura University (2020 – Present) 🌍
  • Consultant Engineer in Industrial Engineering & Quality System Management, Engineering Syndicate, Cairo (2021 – Present)
  • Organizer of the First Industrial Conference at Mansoura University (2015) 🏭
  • Team Leader for Local Academic Accreditation Strategic Plan, Mansoura University (2013 – 2016)

Publication Top Notes:

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

A Study of Drilling Parameter Optimization of Functionally Graded Material Steel–Aluminum Alloy Using 3D Finite Element Analysis

A Decision-making Approach to Reduce the Risk of Measurement Uncertainty for Product Size

Experimental Investigation of Surface Roughness and Material Removal Rate in Wire EDM of Stainless Steel 304

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

 

Dr. Yuyin Ma | Industrial Internet Awards | Best Innovation Award

Posted on by Global Sensor Awards

Dr. Yuyin Ma | Industrial Internet Awards | Best Innovation Award 

Dr. Yuyin Ma, Beijing Jiaotong University, China

Ma Yuyin is a dedicated Ph.D. candidate in Information and Communication Engineering at Beijing Jiaotong University, with an anticipated graduation date in July 2025. Shandong Province, he has a strong academic foundation, having completed his undergraduate studies in Software Engineering at China University of Petroleum (Beijing). As a member of the Communist Party of China, he actively engages in innovative projects for graduate students at central universities, contributing significantly to national key R&D plans and major natural projects. Notably, he led a team in a National Nature Focus project that developed a new industrial internet architecture, demonstrating his expertise in designing collaborative clustering methods and optimizing network resource management through digital twin technology. With a robust programming background, he has produced substantial contributions to research, including over 2,000 lines of Python code and extensive data analysis. Ma possesses strong self-motivation and execution abilities, solid writing skills, and effective communication and coordination capabilities, making him a valuable asset in the fields of computer networking, technology, and scientific research.

Professional Profile:

SCOPUS

Suitability for the Research for Best Innovation Award: Ma Yuyin

Ma Yuyin demonstrates exceptional qualifications for the Research for Best Innovation Award through his extensive academic and project experience in information and communication engineering. His educational journey at Beijing Jiaotong University, where he is pursuing a Doctorate in Electronic Information Engineering, and his foundational studies in Software Engineering at the China University of Petroleum (Beijing), showcase a strong technical background essential for innovative research.

🎓 Education

  • Beijing Jiaotong University
    Doctor of Information and Communication Engineering
    September 2020 – July 2025
  • China University of Petroleum (Beijing)
    Undergraduate Course in Software Engineering
    September 2016 – June 2020

💼 Work Experience

  • Project Leader
    In charge of innovative projects for graduate students at central universities
    – Successfully completed major national projects with a funding of 15 million yuan, collaborating with Academician Zhang Hongke as the project leader.
    – Led national key R&D plans and major natural projects under the supervision of a tutor.
    – Developed a new industrial Internet architecture with controllable performance across multiple scenarios.

🌟 Achievements

  1. National Nature Focus – No: 62072030
    • Developed a new industrial Internet architecture for various applications, contributing approximately 2,000 lines of Python code and collecting nearly 160,000 pieces of data.
  2. Research Contributions
    • Designed a collaborative clustering method for heterogeneous terminals to ensure low power consumption and reliable data transmission.
    • Proposed an intelligent collaborative clustering method that outperformed competitors in over 10,000 experiments.
  3. Privacy and Security Research
    • Developed an adaptation mapping simulation platform to identify security vulnerabilities in service response time, implementing a multi-node confusion mechanism.

🏆 Awards and Honors

  • Excellent Completion Award
    • For leading innovative projects with outstanding results.
  • Recognition for Contributions to National Key R&D Plans
    • Acknowledged for significant contributions to the field of digital twins and resource optimization in network management.

Publication Top Notes:

ScaIR: Scalable Intelligent Routing based on Distributed Graph Reinforcement Learning

Adaptive Service Provisioning for Dynamic Resource Allocation in Network Digital Twin

Smart Collaborative Evolvement for Virtual Group Creation in Customized Industrial IoT

Exploring Reliable Decentralized Networks with Smart Collaborative Theory

Security Association Model: Interdisciplinary Application of 5G Positioning Technology and Social Network

Smart Collaborative Contract for Endogenous Access Control in Massive Machine Communications