Sandeep Panwar Jogi | Engineering | Best Researcher Award

Published on by Global Academic Awards

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.

 

Harish Selvam | Engineering | Best Researcher Award

Published on by Global Academic Awards

Dr. Harish Selvam | Engineering | Best Researcher Award

Post-doctoral researcher, Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Germany

Harish Selvam is a Scientific Staff member at the Institute of Hydraulic Engineering and Water Resources Management (IWW) at RWTH Aachen University, Germany. With over 8 years of expertise in Hydraulics and Coastal Engineering, Harish’s research focuses on physical and numerical modeling, particularly in violent tsunami-structure interactions. His dual MS and PhD in Ocean Engineering were awarded with distinction from RWTH Aachen University and Indian Institute of Technology Madras. 🌊🏛️

Publication Profile

Strengths for the Award:

  1. Academic Excellence: Harish Selvam’s educational background is impressive, with a dual degree (MS & PhD) in Ocean Engineering from RWTH Aachen University and IIT Madras, completed with distinction. His B.E. in Civil Engineering also showcases strong academic performance.
  2. Research Contributions: His PhD thesis on violent tsunami-structure interaction is a significant contribution to the field of Hydraulics and Coastal Engineering. He has published numerous papers in high-impact journals such as Coastal Engineering, Water, Applied Ocean Research, and Ocean Engineering, indicating a strong research output.
  3. Awards and Recognitions: Harish has received prestigious awards, including the Prof. Vallam Sundar best PhD thesis in Ocean Engineering from IIT Madras and the ISH best PhD thesis award in Hydraulics, water resources, and coastal engineering.
  4. Professional Experience: With eight years of experience in Hydraulics and Coastal Engineering, Harish has held significant positions, including Junior Research Group Coastal Engineering Leader and Scientific Staff at RWTH Aachen University. His involvement in major projects and contributions to CFD software development demonstrate his applied research skills.
  5. Technical Skills: Proficiency in programming languages (MATLAB, C++, FORTRAN) and technical software (AutoCAD, Stadd Pro, FreeCAD, OpenFOAM, DualSPHysics, Ansys) highlights his capability in numerical and physical modeling.
  6. Supervision and Mentorship: Harish has supervised multiple Master’s and Bachelor’s theses, indicating his leadership and mentorship abilities. His guidance on projects related to tsunami-like wave impacts and hydraulic engineering showcases his expertise in guiding young researchers.
  7. International Exposure: Harish’s involvement in international projects and conferences, along with scholarships from DAAD and UGC, underscores his global perspective and collaboration.

Areas for Improvement:

  1. Language Proficiency: While Harish has basic proficiency in German (A2.1 level), improving his language skills could enhance his integration and communication within the international research community in Germany and beyond.
  2. Expanded Research Impact: While his research is strong, broadening the impact through more interdisciplinary collaborations and applications beyond tsunami-structure interaction could enhance his profile further.
  3. Industry Collaboration: Increasing collaborations with industry partners could translate his research findings into practical solutions and innovations, thereby enhancing the societal impact of his work.

Conclusion:

Harish Selvam is a highly suitable candidate for the Best Researcher Award. His robust academic background, significant research contributions, professional experience, and technical skills make him a standout researcher in the field of Hydraulics and Coastal Engineering. While there are areas for improvement, such as language proficiency and expanding the impact of his research, his overall profile is highly commendable and deserving of recognition.

 

Education

Harish completed his dual degree MS & PhD in Ocean Engineering from RWTH Aachen University and Indian Institute of Technology Madras in July 2023, graduating with a summa cum laude distinction and a 9.74 CGPA. He holds a B.E. in Civil Engineering from Rajalakshmi Engineering College, Chennai, with an 8.74 CGPA. He also achieved top grades in his Higher Secondary and Matriculation courses. 🎓📚

Experience

Currently, Harish serves as a Junior Research Group Coastal Engineering Leader at IWW, RWTH Aachen University. His previous roles include Scientific Staff at IWW since October 2021 and Project Associate at IIT Madras. He has worked extensively with OpenFOAM and other CFD software, and has been involved in notable projects like the “Impact of waterborne debris on near shore structures” and “Flood-induced building damages after 2021 German floods.” 🏗️🌍

Research Focus

Harish’s research primarily investigates tsunami-like flow interactions with coastal structures. His PhD thesis delves into tsunami-induced forces on shorefront structures, leveraging both physical experiments and numerical simulations to enhance understanding and design improvements in coastal engineering. His current work includes numerical simulations of tsunami impacts and flow interactions with various structural models. 🌪️🔬

Awards

Prof. Vallam Sundar Best PhD Thesis Award (2023), Indian Society of Hydraulics (ISH) Best PhD Thesis Award (2023), GATE Qualification (2016), University Rank Holder in B.E. among colleges affiliated with Anna University, Chennai. 🏆🎖️

Publications

  1. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2021). Tsunami-like flow induced force on the structure: Prediction formulae for the horizontal force in quasi-steady flow phase. Coastal Engineering, 168, 103938.
  2. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like flow induced forces on the structure: Dependence of the hydrodynamic force coefficients on Froude number and flow channel width. Coastal Engineering, 172, 104078.
  3. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like Flow-Induced Forces on the Landward Structure behind a Vertical Seawall with and without Recurve Using OpenFOAM. Water, 14(13), 1986.
  4. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Flow-structure interference effects with the surrounding structure in the choked quasi-steady condition of tsunami: Comparison with traditional obstruction approach. Applied Ocean Research, 126, 103255.
  5. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2024). Tsunami-like flow induced forces on the building with openings and orientation in the quasi-steady flow phase. Ocean Engineering, 301, 117337.