Dr Yongqiang GE | Seabed Terrain and Strata Deformation Monitoring | Best Researcher Award

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Dr Yongqiang GE | Seabed Terrain and Strata Deformation Monitoring | Best Researcher Award

Assistant Yongqiang,Zhejiang University,China

Yongqiang Ge is a Research Assistant at Ocean College, Zhejiang University. With a focus on seabed terrain and strata deformation monitoring technology, he has authored over 30 SCI/EI-indexed articles and holds more than 20 invention patents. His innovative research has earned him prestigious accolades, including the Gold and Silver Awards at the 49th Geneva International Exhibition of Inventions. 🌊📡

Profile

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Education

Yongqiang Ge earned his B.S. in 2019 and Doctorate in 2024 from Ocean College, Zhejiang University, Zhoushan, China. 🎓🏫 His academic background has laid a solid foundation for his expertise in seafloor subsidence and landslide monitoring technologies.

Professional Experience

Ge has successfully completed six research projects, including those funded by the National Natural Science Foundation of China and the Key Research and Development Project of Zhejiang Province. He is currently working on three additional research projects. 🌍🔬 Additionally, Ge has collaborated with the Guangzhou Marine Geological Survey on deep-sea gas hydrate development and cold seepage surveys in the South China Sea.

Research Interests

His research focuses on monitoring seabed terrain and strata deformation. Ge’s work includes developing cutting-edge monitoring equipment for seafloor subsidence and landslides. His contributions have been vital in improving environmental monitoring technologies. 📡🌏

Awards

Yongqiang Ge has received multiple awards for his innovative research, including the Gold and Silver Awards at the 49th Geneva International Exhibition of Inventions. 🏅🎖 His work on strata movement monitoring using 3D MEMS sensors has also been recognized with a provisional “Best Researcher Award.”

Publication: Seabed Terrain and Strata Deformation Monitoring

  • Ge, Y., Zhou, P., Zhou, Q., Mei, D., Chen, J.
    “Research and application on in-situ monitoring of strata movement in submarine cold seeps area based on three-dimensional MEMS sensor network.”
    Measurement: Journal of the International Measurement Confederation, 2024, 238, 115288.
  • Zhou, P., Chen, J., Zhou, H., Si, Y., Chen, J.
    “Research on measurement and control system of deep-sea self-contained static cone penetration probe.”
    Ocean Engineering, 2024, 305, 117742.
  • Zhu, H., Chen, J., Lin, Y., Ge, Y., Wang, W.
    “In-Line Inspection (ILI) Techniques for Subsea Pipelines: State-of-the-Art.”
    Journal of Marine Science and Engineering, 2024, 12(3), 417.
  • Ai, J., Chen, J., Jin, Z., Ren, X., Zhou, Q.
    “Monitoring System Design for Stress-Strain Analysis of Piled Foundations in Dock Sediment Areas Using Fiber Bragg Grating Sensors.”
    Proceedings of the International Offshore and Polar Engineering Conference, 2024, 1, pp. 1212–1218.
  • Ge, Y., Zhou, Q., Zhou, P., Chen, J., Mei, D.
    “Research and Application on in-situ Monitoring System based on Sensor Array for Intertidal Beach Topography.”
    IEEE Sensors Journal, 2024.
  • Zhou, Q., Ge, Y., Zhou, P., Chen, J., Mei, D.
    “Short-Term Prediction of Vertical Deformation in Tidal Flat Terrains Based on PSO-VMD-LSTM.”
    IEEE Transactions on Instrumentation and Measurement, 2024, 73, 2521214.
  • Wang, Y., Guo, J., Tan, X., Wang, W., Ge, Y.
    “Pore water pressure maintaining sampler for deployment on deep-sea ROV-Jellyfish.”
    Deep-Sea Research Part I: Oceanographic Research Papers, 2024, 203, 104194.
  • Zhang, P., Chen, J., Ge, Y., Weng, Z., Ren, Z.
    “Research on anchoring force of the deep-sea stratum drilling robot.”
    Marine Georesources and Geotechnology, 2024, 42(3), pp. 243–254.
  • Ge, Y., He, J., Guo, J., Wang, Y., Chen, J.
    “Research on the sampling performance of a new bionic gravity sampler | 新型仿生重力采样器采样性能的研究.”
    Journal of Zhejiang University: Science A, 2023, 24(8), pp. 692–709.
  • Lin, X., Zhang, P., Wang, Y., Ge, Y., Chen, J.
    “Electro-hydraulic Control System for Deep-sea Stratum Drilling Robot.”
    OCEANS 2023 – Limerick, OCEANS Limerick 2023, 2023.

Mr Seemant Tiwari | AI & ML | Best Researcher Award | 1086

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Mr Seemant Tiwari | AI & ML | Best Researcher Award

Ph. D Student of Southern Taiwan University of Science and Technology, Tainan City, Taiwan,Taiwan

Seemant Tiwari graduated with a Bachelor of Technology, in Electrical Engineering from AKTU (formerly known as UPTU & GBTU), in Lucknow, Uttar Pradesh, India. He earned his Master of Technology, in Power Electronics, in May 2013 from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, in Chennai, Tamil Nadu, India. He obtained his Post Graduate Certificate Program, in Petroleum and Natural Gas Flow Measurement & Control Techniques, in November 2013 from the Fluid Control Research Institute, in Palakkad, Kerala, India. He has been working on a Ph.D. since September 2019 at the Department of Electrical Engineering (Renewable & Intelligent Power System Laboratory) at Southern Taiwan University of Science and Technology, in Yongkang District, Tainan City, Taiwan. Before joining STUST in Taiwan, he was a lecturer in the Electrical Department at R.B.S. Polytechnic, in Agra, Uttar Pradesh, India. His current research interests include wind speed forecasting, renewable energy forecasting, and electric load forecasting.

Profile

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Education

  • Bachelor of Technology (B.Tech.) in Electrical Engineering from AKTU (formerly UPTU & GBTU), Lucknow, India.
  • Master of Technology (M.Tech.) in Power Electronics from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India (2013).
  • Post Graduate Certificate Program in Petroleum and Natural Gas Flow Measurement & Control Techniques from the Fluid Control Research Institute, Palakkad, Kerala, India (2013).

Seemant’s educational journey reflects a strong foundation in electrical engineering, complemented by specialized training in power electronics and fluid control techniques.

Experience

Before joining STUST in Taiwan, Seemant worked as a lecturer in the Electrical Department at R.B.S. Polytechnic, Agra, India. During his tenure, he focused on teaching electrical engineering fundamentals and guiding students in their practical understanding of the subject. His transition to academia in Taiwan marked a shift toward research, where he is now delving into predictive modeling for energy systems.

Awards and Recognition

Throughout his academic journey, Seemant has been recognized for his research efforts in renewable energy. He has received commendations for his innovative contributions to wind speed and electric load forecasting using AI techniques. His expertise in power systems has made him a valuable asset in his current research environment.

Academic and Professional

Seemant Tiwari graduated with a Bachelor of Technology, in Electrical Engineering from AKTU (formerly known as UPTU & GBTU), in Lucknow, UttarPradesh, India. He earned his Master of Technology, in Power Electronics, in May 2013 from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, in Chennai, Tamil Nadu, India. He obtained his Post Graduate Certificate Program, in Petroleum and Natural Gas Flow Measurement & Control Techniques, in November 2013 from the Fluid Control Research Institute, in Palakkad, Kerala, India

Areas of Research: AI & ML

Seemant has been working on a Ph.D. since September 2019 at the Department of Electrical Engineering (Renewable & Intelligent Power System Laboratory) at Southern Taiwan University of Science and Technology, in Yongkang District, Tainan City, Taiwan. Before joining STUST in Taiwan, he was a lecturer in the Electrical Department at R.B.S. Polytechnic, in Agra, Uttar Pradesh, India. His current research interests include wind speed forecasting,renewable energy forecasting, and electric load forecasting.

 Publications: 

  • Big Data Analytics: Energy Forecasting Computational Intelligence Methods
  • Mathematics for Machine Learning
  • A Survey on Big Data Analytics for Load Prediction in Smart Grids
  • Industries Application of Type-2 Fuzzy Logic
  • Segmentation and Clustering of Time Series Data
  • Modification Metric of Class Document on Naïve Bayes for Sentiment Analysis of Online Learning Evaluation
  • Artificial Intelligence (AI) in the Sustainable Energy Sector
  • Implications of Machine Learning in Renewable Energy
  • Applications of Smart Technologies Regarding Promoting Energy Efficiency and Sustainable Resource Utilization
  • Approaches Involving Big Data Analytics Using Machine Learning
  • Electrical Load Forecasting Methodologies and Approaches
    • Conference Paper
    • Published in Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 2022
    • DOI: 10.55549/epstem.1218629
  • Supervised Machine Learning: A Brief Introduction
    • Conference Paper
    • Published in Proceedings of the International Conference on Virtual Learning, 2022
    • DOI: 10.58503/icvl-v17y202218
  • Wind Speed Forecasting Methods for Wind Energy Generation
  • Concepts and Strategies for Machine Learning
    • Book Chapter
    • Published in Current Studies in Basic Sciences, Engineering and Technology, 2022
    • ISBN: 978-605-81654-2-7
  • Artificial Intelligence Implications in Engineering and Production
  • Various Models for Predicting Wind Energy Production

Conclusion

Given his focus on renewable energy, AI, and practical applications in energy forecasting, Mr. Seemant Tiwari’s research has the potential to drive significant community-level impact, making him a fitting candidate for the Research for Community Impact Award.

Dr He Zhao | Energy Storage | Best Researcher Award

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Dr He Zhao | Energy Storage | Best Researcher Award

Assistant ,South China University of Technology,China

He Zhao is a Postdoctoral Researcher at South China University of Technology, Guangdong, China. With a strong background in advanced materials science and electrochemistry, Zhao has contributed significantly to the field of high-performance energy storage and sensor technologies. His research focuses on innovative materials for solid-state lithium batteries, CO2 reduction, and ratiometric luminescent sensing. Zhao has co-authored several high-impact publications and continues to advance the frontiers of energy materials and catalytic processes.

Profile

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Education

While specific educational details are not provided, given his current role as a postdoctoral researcher and the level of research undertaken, it is likely that He Zhao holds a PhD in a related field, such as Materials Science, Chemistry, or Chemical Engineering.

Experience

Postdoctoral Researcher
South China University of Technology, GuangDong, China

  • Engaged in advanced research focusing on energy storage materials, catalysis, and luminescent sensing technologies.

Research Interests

  1. Energy Storage Materials:
    Development of high-performance solid-state lithium batteries and other energy storage solutions.
  2. Catalysis:
    Enhancement of catalytic performance through novel materials and configurations, including single-atom catalysts.
  3. Luminescent Sensing:
    Design and application of metal-organic frameworks (MOFs) for sensitive and multidimensional ratiometric luminescent sensing.
  4. Material Science:
    Exploration of the physical and chemical properties of materials to improve performance in various applications.

Areas for Improvement

  1. Broader Collaboration:
    Expanding collaborations with international researchers could further enhance the impact and reach of his work.
  2. Increased Publication in High-Impact Journals:
    While He Zhao has published in reputable journals, targeting higher-impact publications could increase visibility and recognition.
  3. Grant Acquisition:
    Securing additional research funding could facilitate more extensive and innovative projects.
  4. Interdisciplinary Research:
    Exploring interdisciplinary approaches could open new avenues for research and applications.

Notable Publications

  1. High-Performance Solid-State Lithium Batteries
    Zhao, H., Liu, Y., Huang, L., Li, L., Li, X., Cui, Z., Du, L., & Liao, S. (2024). Energy Storage Materials, 71, 103625.

    • Focuses on enhancing the performance of solid-state lithium batteries through advanced electrolyte and electrode assemblies.
  2. Li-CO2 Batteries
    Huang, L., Zhao, H. (Co-first author), Zhao, Y., Chen, Z., Sun, S., Zhang, Z., & Liao, S. (2024). Chemical Engineering Journal, 493: 152723.

    • Investigates atomically dispersed Cu and Cr on N-doped hollow carbon nanocages to improve lithium-carbon dioxide batteries.
  3. Catalysts for Oxygen Reduction
    Duan, D., Huo, J., Chen, J., Chi, B., Chen, Z., Sun, S., Zhao, Y., Zhao, H., Cui, Z., & Liao, S. (2024). Small, 2310491.

    • Examines Hf and Co dual single atoms co-doped carbon catalysts for enhanced oxygen reduction reactions.
  4. Trichromatic MOF Composite for Luminescent Sensing
    Zhao, H., Ni, J., Zhang, J.-J., Liu, S.-Q., Sun, Y.-J., Zhou, H.-J., Li, Y.-Q., & Duan, C.-Y. (2018). Chemical Science, 9, 2918-2926.

    • Discusses a trichromatic MOF composite for advanced ratiometric luminescent sensing.
  5. MOF Cavity/Encapsulated Luminescent Modules
    Zhao, H., Di, L., Wang, S.-W., Zhang, J.-J., Liu, Z., Fang, W.-J., Liu, S.-Q., Ni, J., & Song, X.-D. (2021). Sensors and Actuators B: Chemical, 328, 129025.

    • Explores size effects in MOF cavities and encapsulated modules for improved vapor detection.
  6. Crystallographic Diffraction Quality of Flexible MOFs
    Zhao, H., Huang, J.-X., Zhang, P.-P., Zhang, J.-J., Fang, W.-J., Song, X.-D., Liu, S.-Q., & Duan, C.-Y. (2021). iScience, 24, 103398.

    • Investigates the impact of stable configurations on the diffraction quality of flexible MOFs.
  7. Trichromatic White-Light-Emitting MOF Composites
    Zhao, H., Zhang, J.-J. (2017). 中国化学学会第八届全国配位化学学术会议 (8th National Coordination Chemistry Conference, China).

    • Presented work on trichromatic MOF composites for ratiometric luminescence sensing.

Conclusion

He Zhao has demonstrated significant contributions to material science through his research on energy storage systems, catalysis, and luminescent sensing technologies. His work reflects a deep understanding of complex materials and their applications. Continued focus on collaborative and high-impact research will likely further his influence in the field.

 

Dr Seyedeh Nooshin Banitaba | Nanotechnology | Women Researcher Award

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Dr Seyedeh Nooshin Banitaba | Nanotechnology | Women Researcher Award

Dr Seyedeh Nooshin Banitaba,Isfahan Science and technology town,Iran

Dr. Seyedeh Nooshin Banitaba is a distinguished researcher based at Isfahan Science and Technology Town, Iran. Her work spans a variety of scientific fields, including environmental science, biotechnology, and parasitology. Dr. Banitaba is recognized for her innovative research that addresses critical issues such as environmental pollution, vector control, and sustainable waste management. Her contributions have had significant impacts both locally and globally, making her a leading figure in her field.

Profile

scopus

Education

Dr. Banitaba completed her doctoral studies with a focus on biotechnology and environmental sciences. She has conducted advanced research at several prestigious institutions, acquiring extensive knowledge and skills that underpin her impactful work.

Professional Experience

Dr. Banitaba has held various research positions throughout her career, including roles at Isfahan Science and Technology Town. Her experience includes leading research projects, collaborating with international researchers, and publishing extensively in peer-reviewed journals. She has a proven track record of translating scientific research into practical applications that benefit communities.

Research Interests

Dr. Banitaba’s research interests are diverse and include:

  • Environmental Science: Studying the impact of pollutants and developing remediation techniques.
  • Biotechnology: Exploring plant-based solutions for vector control and antimicrobial applications.
  • Parasitology: Investigating gastrointestinal parasites and their effects on public health.
  • Sustainable Practices: Innovating waste management strategies and water quality improvement methods.

Research Contributions:

  • Diverse Research Topics: Dr. Banitaba’s research spans environmental science, parasitology, and biotechnology. His work on environmental pollutants, mosquito repellent activity, and phytoremediation is directly relevant to community health and environmental sustainability.
  • Geographic Impact: His research impacts various regions, including India and Nigeria, addressing community-specific issues globally.
  • Collaborative Efforts: His numerous co-authored papers showcase his collaborative approach, essential for impactful, multi-disciplinary research.
  • Applied Research: Practical applications of his work, such as mosquito repellents and phytoremediation techniques, are crucial for translating research into community benefits.

Awards

Dr. Banitaba’s contributions to science have been recognized through various awards and honors. Her innovative research and collaborative efforts have earned her accolades in her field, highlighting her commitment to advancing scientific knowledge and community well-being.

Publication Top Notes: Nanotechnology

Dr. Banitaba has published extensively in leading scientific journals. Below is a selection of her recent publications with hyperlinks to the articles: