Dr. Chaosai Liu | Technology Applications | Best Researcher Award

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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. 🌾📚🏅

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 🔬🎓
  • Henan Key Laboratory of Grain Storage Facility and Safety – Researcher 🔍
  • Academy of National Food and Strategic Reservation Administration – Collaborator 🔄
  • National Grain Public Welfare Research Project of China – Project participant 📊

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. 🧑‍🔬💼📈

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. 🌾🧬🔥

Awards & Honors

  • Second Prize – Henan Provincial Department of Education 🏅
  • Third Prize – China Grain and Oil Society 🥉
  • 6 Patents – Authorized Invention Patents 🔐
  • 20+ Academic Papers – Published in leading journals 📖

Publication Top Notes:

  • 🌾 Analysis of Heat and Moisture Transfer and Fungi-Induced Hot Spots in Maize Bulk with Different Broken Kernel Contents – Agriculture
  • 🏗️ Numerical Simulation of Backfilling Construction for Underground Reinforced Concrete Grain Silos – Buildings
  • 🌾 Element Tests and Simulation of Effects of Vertical Pressure on Compression and Mildew of Wheat – Computers and Electronics in Agriculture
  • 📊 A Scientometric Review of Grain Storage Technology in the Past 15 Years (2007–2022) Based on Knowledge Graph and Visualization – Foods
  • 🏗️ Visualization Analysis of Cross Research Between Big Data and Construction Industry Based on Knowledge Graph – Buildings

 

 

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

🎓 Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

💼 Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

🔍 Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

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Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)