Sandeep Panwar Jogi | Engineering | Best Researcher Award

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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.

 

Hamidreza Tavakoli | Civil Engineering | Best Researcher Award

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Prof. Hamidreza Tavakoli | Civil Engineering | Best Researcher Award

Prof. Hamidreza Tavakoli, Babol Noshirvani University of Technology, Iran

Assessment for Research for Best Researcher Award: Prof. Hamidreza Tavakoli

Publication profile

Research Interests

Prof. Hamidreza Tavakoli’s research covers a wide range of crucial topics in civil engineering, particularly in seismic and earthquake engineering. His expertise in areas such as Progressive Collapse due to explosions or earthquakes, Energy Dissipation in Composite Materials, and Seismic Retrofitting of Existing Structures highlights his contributions to improving the safety and resilience of infrastructure. Additionally, his work in Dynamic Soil-Structure Interaction Modeling and Dynamic Site Effects demonstrates a deep understanding of how seismic events affect structures, making his research pivotal for advancements in earthquake risk mitigation.

Honors and Awards

Prof. Tavakoli has been recognized as a Distinguished Professor and Distinguished Researcher at Babol University of Technology in 2013, indicating his esteemed position in the academic community. These accolades underscore his contributions and leadership in the field of civil engineering, further validating his candidacy for the Best Researcher Award.

Teaching Experiences

His teaching portfolio includes a comprehensive list of both undergraduate and graduate courses, such as Advanced Engineering Mathematics, Dynamic Soil-Structure Interaction, and Seismic Risk Management. These courses reflect his deep knowledge and commitment to educating the next generation of engineers, ensuring that they are well-equipped to tackle the challenges in earthquake engineering.

Publication Top Notes

  • Probabilistic Evaluation of the Seismic Response of a Reinforced Concrete Building Structure Subjected to Vehicle Impact (Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2024) 📊
  • Seismic Response Probabilistic Evaluation of Bridge Pier After Vehicle Collision (Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2024) 📊
  • The Post-fire Behavior of Lightweight Structural Concrete is Improved by Nano-SiO2 and Steel Fibers (International Journal of Engineering, Transactions A: Basics, 2023) 🔬 – Cited by 3
  • Fragility Curve Development of Highway Bridges Using Probabilistic Evaluation (Case Study: Tehran City) (Asian Journal of Civil Engineering, 2023) 🌉 – Cited by 2
  • Experimental Investigation of Mechanical Behavior of Lightweight RC Elements Under Repeated Loadings (Structures, 2023) 🏗️
  • Probability Assessment of the Seismic Risk of Highway Bridges with Various Structural Systems (Case Study: Tehran City) (Sustainability, 2023) 🌍 – Cited by 1
  • Post-Fire Mechanical Degradation of Lightweight Concretes and Maintenance Strategies with Steel Fibers and Nano-Silica (Sustainability, 2023) 🌟 – Cited by 1
  • Experimental Investigation of the Effects of Using Waste Rubber Ash on Mechanical Properties of Plain Concrete (International Journal of Engineering, Transactions A: Basics, 2023) ♻️ – Cited by 4
  • Blast Resistance and Energy Absorption of Slotted I-core Steel Sandwich Panel: A Numerical Study (Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2022) 💥 – Cited by 3
  • Numerical Analysis of All-Steel Sandwich Panel with Drilled I-core Subjected to Air Blast Scenarios (Innovative Infrastructure Solutions, 2022) 🛠️ – Cited by 4

Conclusion

Prof. Hamidreza Tavakoli’s extensive research in earthquake engineering, coupled with his recognition as a distinguished academic and his contributions to teaching, make him a highly suitable candidate for the Best Researcher Award. His work not only advances the field but also has significant practical implications for improving infrastructure safety against seismic hazards.