Dr. Chaosai Liu | Technology Applications | Best Researcher Award

Dr. Chaosai Liu | Technology Applications | Best Researcher Award

Dr. Chaosai Liu | Henan University of Technology | China

Liu Chaosai is a distinguished researcher from Henan University of Technology, specializing in grain storage safety theory and its applications. With a long-term commitment to improving maize storage techniques, he has contributed to numerous national and provincial projects, including the National Grain Public Welfare Research Project and Key R&D projects in Henan Province. His research has been instrumental in advancing our understanding of heat, moisture transfer, and fungal growth in stored grains, particularly maize. Liu has published over 20 academic papers and holds six authorized patents. He has earned recognition from both the Henan Provincial Department of Education and the China Grain and Oil Society. πŸŒΎπŸ“šπŸ…

Professional Profile:

ORCID

Suitability for the Best Researcher Award

Liu Chaosai is certainly a strong candidate for the Best Researcher Award based on his significant contributions to the field of grain storage safety. His work at Henan University of Technology has been pivotal in advancing storage techniques for maize, an essential staple crop. Liu’s research has made substantial strides in understanding and mitigating the challenges of grain storage, particularly maize. His focus on heat, moisture transfer, and fungal growth has directly influenced the improvement of storage methods that ensure food security and reduce waste. Liu’s involvement in national and provincial projects, such as the National Grain Public Welfare Research Project and Key R&D projects in Henan Province, further highlights his dedication to advancing the field.

Education & Experience

  • Henan University of Technology – College of Civil Engineering, Ph.D. in Engineering πŸ”¬πŸŽ“
  • Henan Key Laboratory of Grain Storage Facility and Safety – Researcher πŸ”
  • Academy of National Food and Strategic Reservation Administration – Collaborator πŸ”„
  • National Grain Public Welfare Research Project of China – Project participant πŸ“Š

Professional Development

Liu has developed a strong portfolio of research in grain storage, focusing on heat and moisture transfer, fungal growth, and the implications of kernel breakage in maize. His professional growth is marked by consistent contributions to national and provincial projects, publication of over 20 papers, and securing six patents in the field of grain storage safety. He has also gained significant practical experience by engaging in simulation systems and experimental research to improve storage methods for maize. His professional development continues to shape innovations in the agricultural sector. πŸ§‘β€πŸ”¬πŸ’ΌπŸ“ˆ

Research Focus

Liu’s research primarily revolves around the study of grain storage safety, with particular attention to maize. He focuses on understanding the effects of temperature, moisture content, and fungal activity on stored grain. A significant part of his work includes studying how kernel breakage impacts heat and moisture distribution, leading to potential storage risks. His research includes developing models to predict temperature changes and fungal growth in maize bulk. By advancing grain storage techniques, Liu aims to minimize post-harvest losses and ensure the safe storage of grains. 🌾🧬πŸ”₯

Awards & Honors

  • Second Prize – Henan Provincial Department of Education πŸ…
  • Third Prize – China Grain and Oil Society πŸ₯‰
  • 6 Patents – Authorized Invention Patents πŸ”
  • 20+ Academic Papers – Published in leading journals πŸ“–

Publication Top Notes:

  • 🌾 Analysis of Heat and Moisture Transfer and Fungi-Induced Hot Spots in Maize Bulk with Different Broken Kernel ContentsAgriculture
  • πŸ—οΈ Numerical Simulation of Backfilling Construction for Underground Reinforced Concrete Grain SilosBuildings
  • 🌾 Element Tests and Simulation of Effects of Vertical Pressure on Compression and Mildew of WheatComputers and Electronics in Agriculture
  • πŸ“Š A Scientometric Review of Grain Storage Technology in the Past 15 Years (2007–2022) Based on Knowledge Graph and VisualizationFoods
  • πŸ—οΈ Visualization Analysis of Cross Research Between Big Data and Construction Industry Based on Knowledge GraphBuildings

 

 

 

Dr. Haider Ali | Network Communication Awards | Excellence in Research

Dr. Haider Ali | Network Communication Awards | Excellence in Research

Dr. Haider Ali, University of Derby, United Kingdom

Haider Ali is a seasoned professional with over a decade of experience in research and teaching across esteemed institutions such as the University of Derby (UK), Qatar University (Qatar), and COMSATS University (Pakistan). Holding a Ph.D. in Computing, his expertise spans areas including computing systems, networks, cybersecurity, embedded systems, and algorithms design. He has authored numerous research papers and secured two best paper awards. As a lecturer at the University of Derby, Haider actively contributes to curriculum development, supervises undergraduate and postgraduate projects, and engages in research collaborations both locally and internationally. Additionally, he has held various teaching and research positions, further enriching his academic and professional portfolio.

Professional Profile:

Google Scholar

πŸ“š Education:

Haider Ali’s academic journey encompasses a Ph.D. in Computing from the University of Derby, UK, completed between 2017 and 2020. Prior to this, he pursued a Master of Science degree in Electronic Systems Design Engineering at Manchester Metropolitan University, UK, from 2009 to 2010. His educational foundation was laid with a Bachelor of Science in Electronics Engineering attained at the University of Engineering and Technology, Pakistan, spanning from 2004 to 2008. Haider further augmented his academic credentials with a Postgraduate Certificate in Advanced Higher Education from the University of Derby, UK, acquired between 2022 and 2023. This diverse educational background equipped him with a comprehensive understanding of computing and electronic systems, positioning him as a versatile professional capable of making significant contributions in academia and research.

πŸ’Ό Experience:

Haider Ali’s career in academia has been marked by a series of impactful roles across prestigious institutions. Beginning as a Lecturer at the College of Science and Engineering, University of Derby, UK, since September 2020, he has been instrumental in delivering undergraduate and postgraduate courses, covering a wide array of subjects such as Programming Fundamentals, Embedded Systems, and Network Security. Alongside teaching responsibilities, Haider actively supervises BSc, MSc, and Ph.D. projects, playing a key role in curriculum development and fostering research collaborations. His dedication to academic leadership is further evidenced by his service as the Derby College Group Program Leader, where he ensures effective communication and collaboration among stakeholders.

πŸ† Awards and Achievements:

During his time at the University of Derby, UK, Haider Ali earned recognition for his scholarly achievements, receiving the PGTA/REF Scholarship from 2017 to 2020. His research prowess was further underscored by winning Best Paper Awards at esteemed IEEE conferences, including DSS-2018 and BDCloud-2020, highlighting the significance of his contributions to the academic community. Haider’s academic journey has been characterized by a global outlook, as evidenced by his extensive research collaborations with institutions worldwide. His commitment to advancing knowledge extends to his membership in prestigious journal review committees and technical program committees, where he plays a pivotal role in shaping the discourse and direction of cutting-edge research in his field.

Publication Top Notes:

1. Novel approach to non-invasive blood glucose monitoring based on transmittance and refraction of visible laser light
Cited By: 85
Year: 2017
Journal: IEEE Access

2.ARSH-FATI: A novel metaheuristic for cluster head selection in wireless sensor networks
Cited By: 74
Year: 2020
Journal: IEEE Systems Journal

3. Human-centric cyber social computing model for hot-event detection and propagation
Cited By: 43
Year: 2019
Journal: IEEE Transactions on Computational Social Systems

4. Energy-efficient static task scheduling on VFI-based NoC-HMPSoCs for intelligent edge devices in cyber-physical systems
Cited By: 40
Year: 2019
Journal: ACM Transactions on Intelligent Systems and Technology

 

 

 

 

Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

Mr. Hongwei Wang | Object Detection Award | Best Researcher Award

Mr. Hongwei Wang, North Minzu University, China

πŸŽ“ Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, excelling in courses such as Software Engineering and Operating Systems. Currently pursuing a Master’s degree in Computer Technology at North Minzu University, he focuses on Pattern Recognition and Semantic Networks. Recognized with scholarships and awards for academic excellence, including the “Learning Star” award, Hongwei’s analytical prowess shines through participation in competitions like the National Postgraduate Mathematical Modeling Competition. Proficient in both academic and practical domains, he holds a College English Test 4 certification and adeptly utilizes office-related software. πŸ…πŸ†

🌐 Professional Profile:

Scopus

πŸŽ“ Education:

Mr. Hongwei Wang pursued his undergraduate studies in Computer Science and Technology at Harbin Institute of Information Engineering, where he excelled in major courses such as Software Engineering, Operating Systems, and Internet Programming. Currently, he is pursuing a Master’s degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

πŸ… Honors and Awards:

Mr. Hongwei Wang’s academic achievements have been recognized with scholarships, including a first-class scholarship from the postgraduate school. He has also received accolades such as the “Learning Star” award during his undergraduate studies, highlighting his consistent commitment to academic excellence.

πŸ† Competition:

Participation in prestigious competitions like the National Postgraduate Mathematical Modeling Competitions demonstrates Hongwei Wang’s analytical and problem-solving skills, further complementing his academic endeavors.

πŸ’» Skills:

Proficient in both academic and practical domains, Hongwei Wang holds a College English Test 4 certification and is adept at using office-related software. His multifaceted skill set empowers him to excel in diverse settings.

Publications Top Notes :

CCGL-YOLOV5: A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model

  • Published in Computers in Biology and Medicine in 2023
  • 3 Citations