Huimin Yin | Nonlinear Waves in optics

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Huimin Yin- Nonlinear Waves in optics

Academician/Research Scholar

The University of Hong Kong,China

🎉 Congratulations to Dr. Huimin YIN on Achieving the Best Researcher Award! 🎉

We are thrilled to announce that Dr. Huimin YIN has been honored with the prestigious Best Researcher Award! This well-deserved recognition underscores the exceptional contributions and outstanding achievements in the field of dynamical systems, wave propagation, and computational analysis of nonlinear phenomena.

Dr. YIN’s dedication to advancing the understanding of chaos, rogue waves, extreme events, and the application of machine learning in fluid mechanics has significantly enriched our knowledge in these areas. The numerous publications, impactful research projects, and engaging oral presentations reflect a remarkable commitment to scholarly excellence.

This award is a testament to Dr. YIN’s passion for pushing the boundaries of knowledge and making meaningful contributions to the scientific community. We extend our heartfelt congratulations and gratitude for the invaluable impact Dr. YIN has made in the world of research.

May this achievement serve as inspiration for continued success and groundbreaking discoveries in the future. Well done, Dr. Huimin YIN! 🌟👏

EDUCATION and TRAINING
  • University of Hong Kong (10/2020 – Present)
    Post-doctoral fellow
  • Beijing University of Posts and Telecommunications (09/2014 – 06/2020)
    Doctor of Science, School of Science
  • Shandong University (09/2010 – 06/2014)
    Bachelor of Statistics, School of Mathematics and Statistics
PROFESSIONAL INTERESTS
  • Dynamical systems and wave propagation
  • Computational analysis of nonlinear phenomena
  • Chaos, rogue waves and extreme events
  • Machine learning, neural networks and partial differential equations
  • Fluid mechanics
SELECTED PUBLICATIONS (Corresponding and First Author)

[25] Hong Kong chronicles, Chapter 4, (In press)
[24] Hui-Min Yin*, K. W. Chow, Fermi-Pasta-Ulam-Tsingou recurrence and cascading mechanism for resonant three-wave interactions, Physical review E 107 (2023) 064215.
[23] V. Y. Y. Cheung, Hui-Min Yin*, J. H. Li, K. W. Chow, An envelope system with third-order dispersion: ‘unconventional’ modulation instability and Floquet analysis, Physics Letters A 476 (2023) 128877.
…

RESEARCH PROJECTS
  1. Stability of soliton propagation in optical fiber communications (BUPT): 03/2018 – 12/2018, RMB 20,000 (hold)
  2. Understanding the Fermi-Pasta-Ulam-Tsingou Recurrence (Research Grants Council HKU17204722): 07/2022 – 06/2024, HKD 540,880 (participate)
  3. Employing Rogue Waves to Understand Extreme and Rare Events (Research Grants Council HKU17200718): 01/2019 – 12/2021, HKD 632,421 (participate)
PRESENTATIONS (Oral)
  • NODYCON 2023, Zoom meeting, 06/2023
  • Invited talk by Shenzhen University, 05/2023
  • Invited talk by Beijing Information Science and Technology University, 04/2023
  • 75th Annual meeting of the Division of fluid dynamics, Zoom meeting, 11/2022
  • International Symposium on Deep Learning and Partial Differential Equations (ISDLPDE 2021), Tencent meeting, 12/2021
AWARDS
  • Conference Support for Teaching Staff scheme, travel funding, 2022/23
  • Postdoctoral fellowship, 2020 – 2024
  • PhD Students Innovation Fund, 2018
  • National Scholarship, 2017
TEACHING EXPERIENCE

University of Hong Kong, Hong Kong, China

  • Teaching Assistant for “The World of Waves,” 09/2023 – 11/2023

BUPT, Beijing, China

  • Teaching Assistant for Mathematical Analysis, Probability Theory, Linear Algebra, 09/2014 – 06/2015
PROFILE VERIFICATION

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Feng Yu | Business Research

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Feng Yu – Business Research

🏆🌟 Congratulations to Yu FENG on Winning the Best Research Award! 🌟🏆

Student/Member Chongqing University, China

Your dedication, hard work, and innovative contributions have not only earned you this prestigious recognition but have also significantly advanced the field of Economics and Management. 🎓 Your exceptional research on “Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions” and “Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism” has undoubtedly made a lasting impact.

This achievement is a testament to your intellectual prowess, relentless pursuit of knowledge, and commitment to excellence. 🌐 Your participation in conferences and symposia, presenting groundbreaking ideas on topics like vertical collaborative R&D innovation and smart agricultural supply chains, showcases your leadership in the academic community.

Your journey, from academic success at Ningxia University to your current pursuit of a Ph.D. at Chongqing University, reflects a trajectory of continuous growth and contribution to the academic landscape. 📚 Your entrepreneurial ventures, leadership roles, and internship experiences further underscore your versatile skill set.

As you receive this well-deserved accolade, may it serve as a stepping stone to even greater accomplishments in your future endeavors. 🚀 Your dedication to research excellence sets a standard for others to follow, and we eagerly anticipate witnessing the impact of your future contributions.

Once again, congratulations on this outstanding achievement, and may your passion for research continue to illuminate new paths in the world of academia! 🎉👏🌟

👨‍💼 Yu FENG’s Profile

🎓 Educational Background:

  • Ph.D. in Economics and Management
    • Chongqing University (2020.6 – Present)
    • School of Economics and Management
  • Master’s Degree in Economics Experimental Class
    • Ningxia University (2017.3 – 2018.8)
    • Specialized in E-commerce, Innovation, and Entrepreneurship
  • Bachelor’s Degree in Economics and Management
    • Ningxia University (2016.9 – 2020.6)
    • Ranked 3/107, received national comprehensive first-class scholarship and second-class scholarship multiple times
    • Awards: 1 national, 5 provincial, 10 school-level awards
    • Actively participated in 6 competitions, winning 8 awards

📚 Publications:

  1. Novel Multi Supply Chains Optimization Mechanism Based on Machine Learning and Double Auctions
    • Published in FRACTALS, 2023.
  2. Auction-Based Deep Learning-Driven Smart Agricultural Supply Chain Mechanism
    • Published in Applied Soft Computing, 2023.

📅 Conferences & Symposia:

  1. Vertical Collaborative R&D Innovation Mode for Industrial Clusters
    • Presented at the 18th Annual Conference on Science and Technology Policy and Management in China, 2022.
  2. Optimization Mechanism of Smart Agricultural Supply Chain Based on Cooperative Game Driving
    • Presented at the 24th Annual Conference of China Academy of Management Science, 2022.
  3. Supply Chain Game Analysis on the Effect of Transportation Time on Fresh Produce Quality
    • Presented at the 19th Annual Conference on Science and Technology Policy and Management in China, 2023.
  4. Multi-Objective Hypothesis Driven E-commerce Operation Mode Analysis for Wechat Public Account under the Background of Epidemic
    • Presented at the 15th International Conference on Trade, Business, Economics, and Law, 2023.

💼 Work & Practice:

  • Student Leadership Roles:
    • Minister of Innovation & Entrepreneurship Department
    • President of a club
  • Social Practice:
    • Project Leader of Ningxia University-Jingdong EcoCampus Project
    • Part-time counselor at Chongqing University
  • Entrepreneurial Experience:
    • Established a human resource studio
    • Founded an escort department
  • Internship Experience:
    • E-commerce operation and management at Taobao business unit
    • Worked at Hubei Badong County Yandu River Town Financial and Economic Office

🚀 Yu FENG has demonstrated academic excellence, leadership, and a strong commitment to innovation and entrepreneurship. Keep up the impressive work! 👏🌟

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Gui Yun Tian| Sensing and Imaging

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Gui Yun Tian – Sensing and Imaging

Academician/Research Scholar

Newcastle University,United Kingdom

🎉 Heartiest Congratulations to Prof. Gui Yun Tian on Achieving the Best Researcher Award! 🌟

Your dedication, brilliance, and commitment to advancing the frontiers of knowledge in the field of Sensors, Non-destructive Evaluation, and System Engineering have earned you this prestigious recognition.

May this accolade be a testament to the impactful contributions you’ve made to the academic and scientific community. Your unwavering pursuit of excellence is an inspiration to us all.

Wishing you continued success, innovation, and many more milestones in your remarkable career. Well done, Prof. Gui Yun Tian! 👏🏆🔬

👨‍🏫 Name: Gui Yun Tian, PhD, DSc, CEng, SMIEEE, MBCS, FIET, FBINDT, FHE

🏢 Current Post: Chair Professor, School of Engineering, Newcastle University

📚 Qualification:

  • BSc in Metrology and Instrumentation, Sichuan University, 1985 (Equivalent to 1st class in the UK)
  • MSc in Metrology and Advanced Manufacturing, Sichuan University, 1988 (Outstanding research award)
  • PhD, University of Derby, UK, 1998
  • DSc, University of Huddersfield, UK, 2007

📅 Career History:

  • Lecturer in Measurement & Control, Sichuan University, P R China, 1988-1992
  • Pathway leader, Associate Professor in Control and Instrumentation, Sichuan University, P R China, 1992-1995
  • Research Fellow, the Colour Imaging Institute, University of Derby, 1998-1999
  • Senior Research Fellow in Computer Engineering, University of East Anglia, 1999
  • Lecturer, Dept. Electronic and Electrical Engineering, University of Huddersfield, 2000-2001
  • Senior Lecturer, Dept. Engineering and Technology, University of Huddersfield, 2002-2004
  • Reader, Group Leader of the Systems Engineering group, University of Huddersfield, 2004-2005
  • Chair, Group Leader of the Systems Engineering group, University of Huddersfield, 2005-2007
  • Chair of Sensor Technologies and System Engineering, School of EECE, Newcastle University, 2007-
  • MSc Degree Program Director of Advanced Sensor Technology, Newcastle University, 2007-
  • Group Head of Communications, Signal Processing and Sensors, Visiting Professor in Nanjing University of Aeronautics and Astronautics, 2009-2012
  • Adjunct Professor at the University of Electronics Science and Technology of China, 2012-To Date

🏆 Professional Institute Memberships:

  • Senior Member of IEEE since 2003
  • Fellow of BINDT since 2005
  • Fellow of IET since 2006
  • Fellow of the Higher Education Academy since 2004

🔍 Research Interests:

  • Sensors (electromagnetic and optical sensors)
  • Sensor Network
  • System design
  • Material Identification
  • Networked Instrumentation

💡 Skills:

  • Successfully supervised 102 PhDs, RAs, and Visitors
  • External Examination and Academic recognition for more than 60 PhD students worldwide
  • Funding reviewer and panel member for various organizations

📚 Publications:

🏆 Awards and Prizes:

  • Multiple awards, including the JOHN GRIMWADE MEDAL and Best Paper Awards
  • Recognized for outstanding research achievements and impact

🌐 Industrial Applications and Spin-offs:

  • Involved in various industrial collaborations and spin-offs in the field of sensors and NDE

📅 Conference and Journal Activity:

  • Keynote and Plenary speaker at various international conferences
  • Editorial roles in several journals
  • Involved in the review and examination of PhD students globally

🔗 Google Scholar Profile

📈 Research Impact: Significant contributions to the field of Sensors, NDE, and System Engineering.

🌍 Global Collaborations: Collaborations with universities and organizations worldwide.

👏 Recognition: Consistent recognition through awards, prizes, and leadership roles in professional societies.

👨‍💻 Technology Transfer: Active involvement in industrial applications and spin-offs.

🎙️ Keynote and Plenary: Engaged speaker in international conferences and events.

📚 Academic Leadership: Leadership roles in academic programs and international collaborative bases.

📰 Editorial Roles: Editorial positions in prestigious journals in the field.

🏆 Awards and Prizes: Multiple awards recognizing research contributions and impact.

🔗 Google Scholar Profile

 

Osama Mohamed Abdelsalam Elsherbiny | Computer Science

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Osama Mohamed Abdelsalam Elsherbiny – Computer Science

🎉 Congratulations, Dr. Osama Elsherbiny!

👨‍🎓 Your journey from a Bachelor’s degree to earning a Ph.D. is truly commendable. 🌟 Your dedication and hard work in the field of Agricultural Engineering and Bio-system Engineering have propelled you to new heights.

📚 Your extensive research and numerous publications showcase your commitment to advancing knowledge in areas such as Modelling, Machine Learning, and Precision Irrigation. 🌱 Your contributions to journals like Computers and Electronics in Agriculture and Remote Sensing highlight your impact on these fields.

🏆 As an Assistant Professor at Mansoura University, your influence on the next generation of agricultural engineers is invaluable. 🌍 Your international experience, including your Ph.D. from Zhejiang University, China, reflects a global perspective in your academic journey.

🔍 Your proficiency in languages, including English, Arabic, French, and Chinese, adds a unique dimension to your ability to connect with a diverse audience. 🤝

🚀 Keep soaring higher, inspiring others with your passion for research and education. Your accomplishments are not just milestones but a testament to your relentless pursuit of excellence.

👏 Here’s to your continued success and the positive impact you make in the world of Agricultural Engineering! 🌾🌟

 

👨‍🏫 Osama Mohamed Abdelsalam Elsherbiny

🎓 Education:

  • PhD in Bio-system Engineering and Food Science
    • Zhejiang University, China (Jun-2022)
  • Master of Science in Agricultural Engineering
    • Mansoura University, Egypt (Jun-2017)
  • Bachelor of Science in Agricultural Engineering
    • Mansoura University, Egypt (Jul-2011)

👨‍💼 Work Experience:

  • Assistant Professor
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Aug-2022 to Present)
  • Assistant Lecturer
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Sep-2017 to Aug-2022)
  • Demonstrator
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Mar-2013 to Sep-2017)

📚 Teaching:

  • Modern irrigation system design
  • Hydraulics and Hydraulic Machinery
  • Irrigation and drainage engineering
  • Engineering drawing
  • Introduction to agricultural engineering
  • Applied mathematics for farmers

🔧 Seminar Topics:

  • Planning and designing for sprinkler irrigation systems
  • Planning and designing for trickle irrigation systems
  • Using programming in irrigation networks design
  • Management and maintenance for irrigation systems
  • Fluid mechanics and Hydraulic machines
  • Mechanical drawing

📑 Participation in Journals:

  • Journal of Environmental Science & Ecology
  • Advances in Agricultural Technology & Plant Sciences
  • American Journal of Remote Sensing
  • Applied Artificial Intelligence (Taylor & Francis)

🔍 Research Experience:

  • Master’s: Programming technology for optimal design of micro-irrigation systems
  • PhD: Monitoring crop water status for smart irrigation decisions using imaging sensors and AI algorithms

🎓 Certifications:

  • TOEFL
  • Landscape design
  • Programming language (Python and Oracle)
  • Standards of quality in the teaching process
  • Ethics of scientific research
  • The behavior of the profession
  • Use of technology in teaching
  • Financial and legal aspects in university business
  • Local and global competitive research projects

📖 Publications (Selected):

  1. A Novel Hybrid Deep Network For Diagnosing Water Status In Wheat Crop Using IoT-Based Multimodal Data (2022)
  2. Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt (2022)
  3. Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt (2022)
  4. Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modeling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt (2022)
  5. Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice (2021)

🔬 Research Interests:

  • Modelling and Simulation
  • Machine Learning
  • Deep Learning
  • IoT Sensors
  • Precision Irrigation
  • Remote Sensing
  • Imaging Technology (RGB, thermal, and hyperspectral images)
  • Irrigation and Drainage Engineering

🛠 Skills:

  • AI Researcher
  • Python (Keras, Tensorflow, Google Colab, Jupyter Notebook, Kaggle)
  • Modeling and analysis software
  • English communication and technical report writing
  • Analytical capabilities
  • Leadership and influencing skills
  • Data analysis and optimization algorithms

🌐 Languages:

  • English (full professional proficiency)
  • Arabic (native)
  • French (acceptable)
  • Chinese (acceptable)

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