Pengcheng Guo | Engineering | Best Researcher Award

Pengcheng Guo | Engineering | Best Researcher Award

professor at  Xi’an University of Technology, China.

Professor Pengcheng Guo is a leading expert in hydraulic and river dynamics, currently serving as a professor at the School of Water Resources and Hydropower, Xi’an University of Technology. With over two decades of academic experience, he has made significant contributions to the understanding of unsteady flows in hydraulic systems, hydro-turbine dynamics, and energy utilization technologies. His research has garnered multiple national and provincial-level research grants, underlining his expertise and leadership in the field.

Publication Profile

Scopus

Education

Professor Guo holds a Doctorate in Hydraulic and River Dynamics from Xi’an University of Technology, where he also completed his Master’s and Bachelor’s degrees. His academic journey, which began in 1993, laid a strong foundation for his pioneering research in hydropower systems and water resources management.

Experience

He has held progressively senior academic positions at Xi’an University of Technology, starting as a lecturer and advancing to his current role as a professor. His work spans teaching, research leadership, and industry collaboration, with a focus on hydropower and water systems.

Research Focus

Professor Guo’s research focuses on transient flow analysis, hydraulic equipment dynamics, and the impact of unsteady flows on hydro-turbine systems. His contributions have advanced the understanding of energy dissipation, vibration analysis, and water hammer impact in hydropower systems, crucial for optimizing performance in large-scale energy facilities.

Awards and Honors 

Professor Guo has received multiple prestigious awards, including the National Science and Technology Progress Award and the Shaanxi Provincial Government’s Science and Technology Progress Award. His research has earned him recognition as a leading scholar in hydropower and clean energy utilization, further supported by his innovations in patented technologies.

Conclusion

Professor Pengcheng Guo’s consistent contributions to the fields of hydropower, fluid dynamics, and environmental engineering, combined with his successful leadership of large-scale research projects, make him a strong candidate for the Best Researcher Award. His scholarly output, award recognition, and patented innovations demonstrate the profound impact of his work in solving real-world problems, particularly in sustainable energy and water resources management. With his extensive experience and continued drive for innovation, Professor Guo exemplifies the excellence and forward-thinking research needed to foster advancements in engineering and environmental sustainability.

Publication Top Notes  

Feasibility evaluation of a wind/P2G/SOFC/GT multi-energy microgrid system with synthetic fuel based on C-H-O elemental ternary analysis
Authors: Ding, X., Guo, P., Sun, W., Lv, X., Weng, Y.
Year: 2024
Journal: Energy
Volume: 312
Article Number: 133474
Citations: 0

Dynamic behavior and energy dissipation analysis of pump turbine in unstable S characteristic zone
Authors: Guo, P., Li, Y., Sun, L.
Year: 2024
Journal: Journal of Energy Storage
Volume: 102
Article Number: 114275
Citations: 0

Leak detection in water supply pipeline with small-size leakage using deep learning networks
Authors: Guo, P., Zheng, S., Yan, J., Ma, J., Sun, S.
Year: 2024
Journal: Process Safety and Environmental Protection
Volume: 191
Pages: 2712–2724
Citations: 0

Erosion assessment and anti-erosion optimization design for Francis turbine
Authors: Sun, L., Zhang, Q., An, D., Sun, S., Guo, P.
Year: 2024
Journal: Physics of Fluids
Volume: 36(10)
Article Number: 103330
Citations: 0

Rotating speed pulling-back control and adaptive strategy of doubly-fed variable speed pumped storage unit
Authors: Gao, C., Yu, X., Nan, H., Ge, Y., Cai, Q.
Year: 2024
Journal: Renewable Energy
Volume: 232
Article Number: 121044
Citations: 0

Numerical assessment of transient flow and energy dissipation in a Pelton turbine during startup
Authors: Sun, L., Wang, Z., Zhou, H., Wang, Z., Guo, P.
Year: 2024
Journal: Physics of Fluids
Volume: 36(9)
Article Number: 094119
Citations: 0

Temporal-spatial and energy dissipation characteristics of vortex evolutions in Francis turbine during load reduction
Authors: Sun, L., Liu, L., Wang, Z., Guo, P., Xu, Z.
Year: 2024
Journal: Physics of Fluids
Volume: 36(9)
Article Number: 094112
Citations: 0

Influence of sand particle size on the erosion-corrosion resistance of Ni2FeCrMo0.2 HEA in seawater: Particle-surface-electrochemistry interaction
Authors: Wang, K., Xu, Q., Li, Y., Jia, Y., Zhou, H.
Year: 2024
Journal: Journal of Materials Research and Technology
Volume: 32
Pages: 426–438
Citations: 0

Sandeep Panwar Jogi | Engineering | Best Researcher Award

Dr. Sandeep Panwar Jogi | Engineering | Best Researcher Award

Dr. Sandeep Panwar Jogi, Memorial Sloan Kettering Cancer Center, United States

Based on Dr. Sandeep Panwar Jogi’s impressive profile, he appears to be a strong candidate for the Research for Best Researcher Award.

Publication profile

Education and Experience

Dr. Jogi holds a Ph.D. in Biomedical Engineering with a focus on MRI-based assessments of knee joints. His educational background includes a B.Tech and M.Tech in Biomedical Engineering, demonstrating a solid foundation in the field. With over 10 years of experience, his career spans roles as a Research Scholar at Memorial Sloan Kettering Cancer Center, Assistant Professor at various institutions, and a Biomedical Engineer. This extensive background underscores his depth of knowledge and expertise in his field.

Research and Innovations

Dr. Jogi’s research includes developing novel MR imaging devices and AI-based algorithms. His patents and publications highlight significant contributions, such as an MR-safe loading device for knee joint assessment and AI-driven solutions for MR scanning efficiency and clinical information extraction. His work on MRI-compatible devices and AI in medical imaging demonstrates his commitment to advancing healthcare technology.

Publications 

  • Review on brain tumor detection using digital image processing – 12 citations, 2014 📊
  • Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis – 10 citations, 2021 📈
  • Device for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging – 5 citations, 2021 🦵
  • A semi‐automatic framework based upon quantitative analysis of MR‐images for classification of femur cartilage into asymptomatic, early OA, and advanced‐OA groups – 3 citations, 2022 🦴
  • Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion – 3 citations, 2020 🩺
  • Explainability of Artificial Intelligence for Diagnosing COVID-19 from Chest X-Rays – 1 citation, 2021 🤖
  • Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality – 1 citation, 2019 📉
  • Automated seed points selection based radial-search segmentation method for sagittal and coronal view knee MRI imaging – 1 citation, 2017 🩻
  • Novel Spin-lock Time Sampling Strategies for Improved Reproducibility in Quantitative T1ρ Mapping – No citations yet, 2024 🧪
  • 4D Lung MRI with Isotropic Resolution on a 1.5T MR-Linac using a Self-Navigated 3D Radial Kooshball Acquisition and Sparse Motion Reconstruction – No citations yet, 2024 🌬️
  • Accelerated Abdominal 3D T1rho Mapping using Diamond Radial Sampling – No citations yet, 2024 📉
  • Quantitative 3D T1rho and T2 Mapping for Radiotherapy Treatment Response Monitoring in Head and Neck Cancer – No citations yet, 2024 🧠
  • Novel Sampling Schemes of Spin-locking Times to Improve Reproducibility of Quantitative 3D T1rho Mapping – No citations yet, 2024 🔍
  • Automatic Liver and Subcutaneous Fat Segmentation from MRI-PDFF Images – No citations yet, 2020 🏥
  • An approach to validate MRI Compatible axial Knee joint Loading Device with various standing posture in Standing MRI – No citations yet, 2019 🦵
  • Retrospective comparative study to assess the pitfalls of CartiGram and the complementary role of FSPD in the evaluation of cartilage lesions of the knee joint – No citations yet, 2019 🔬
  • Evaluating variability of T2 values of the cartilage, menisci and muscles around knee joint on CartiGram sequence at 1.5 T and 3.0 T MR – No citations yet, 2019 📉
  • Semi-Automatic Quantitative Analysis of Cartilage Thickness & T2 Values – No citations yet, 2018 📏
  • Quantitative MR Imaging of Articular Knee cartilage with Axial Loading during Image Acquisition – No citations yet, 2018 🦵
  • Automated Seed Points Selection Based Radial Search Segmentation Method for Sagittal and Coronal View Knee MRI Imaging – No citations yet, 2018 🖼️

Core Competencies

Dr. Jogi’s skills in medical image analysis, machine learning, and AI are well-aligned with the award’s criteria. His expertise in MRI, CT, X-ray modalities, and product development positions him as a leader in his field. His ability to interact with clinicians and develop novel imaging solutions showcases his practical and innovative approach to solving healthcare challenges.

Conclusion

Dr. Sandeep Panwar Jogi is a compelling candidate for the Research for Best Researcher Award. His blend of advanced education, extensive research experience, innovative contributions, and active involvement in the scientific community aligns well with the award’s objectives. His work not only advances medical imaging technologies but also demonstrates a profound impact on healthcare solutions.