Sina Shakeri | Engineering | Young Scientist Award

Published on by Global Academic Awards

Young Scientist Award

Sina Shakeri
Affiliation Flinders University
Country Australia
Scholar ID h3L9AzwAAAAJ
Documents 22
Citations 197
h-index 8
Subject Area Engineering
Event Global Academic Awards

Sina Shakeri is an engineering researcher affiliated with Flinders University, Australia. The supplied scholarly profile identifies 22 documents, 197 citations, and an h-index of 8. These indicators provide a quantitative overview of the researcher’s documented scholarly output and citation activity and are considered in this article as part of an academic recognition profile. [1]

This article presents a neutral academic overview of Sina Shakeri in relation to the Young Scientist Award associated with the Global Academic Awards. The assessment focuses on research profile, scholarly contributions, publication activity, research impact, and general suitability for recognition rather than asserting an award outcome not established by the supplied information.

Abstract

The Young Scientist Award profile for Sina Shakeri examines an engineering researcher affiliated with Flinders University in Australia. Based on the supplied scholarly profile information, Shakeri has 22 documented publications or scholarly documents, 197 citations, and an h-index of 8. [1] These indicators provide a concise representation of research productivity and citation visibility. The profile is considered in the context of academic recognition, with emphasis on documented scholarly activity, publication development, research influence, and potential contribution to engineering research.

Keywords

  • Sina Shakeri
  • Young Scientist Award
  • Engineering research
  • Flinders University
  • Academic recognition
  • Research impact
  • Scholarly publications
  • Global Academic Awards

Introduction

Young scientist recognition programs generally seek to identify researchers whose scholarly activities demonstrate developing expertise, sustained research engagement, and meaningful contributions to their disciplines. Within engineering, such recognition may consider publication records, research originality, methodological contribution, collaboration, and evidence of scholarly influence.

Sina Shakeri is associated with Flinders University in Australia and is identified in the supplied information as an engineering researcher. The available Google Scholar profile information records 22 documents, 197 citations, and an h-index of 8. [1] Because citation indicators can change over time, these figures should be understood as profile data supplied for this article rather than permanent bibliometric values.

Research Profile

The available profile identifies engineering as the researcher’s principal subject area. The combination of documented scholarly documents and citations indicates an established publication record with measurable academic visibility. The h-index of 8 indicates that at least eight indexed scholarly works in the supplied profile have received at least eight citations each, assuming the profile statistics are calculated according to the conventional h-index definition.

The institutional affiliation with Flinders University places the research profile within an established Australian university research environment. Institutional affiliation alone does not determine research quality; rather, it provides contextual information for interpreting a researcher’s scholarly activities and collaborations. [2]

Research Contributions

The available data support the characterization of Shakeri as an active engineering researcher with a documented body of scholarly work. The research contribution profile may be evaluated through several complementary dimensions:

  • Scholarly productivity: The supplied profile records 22 documents, providing evidence of sustained academic publication activity. [1]
  • Citation visibility: A reported 197 citations indicate that the researcher’s publications have received measurable attention within the scholarly literature represented by the profile. [1]
  • Research continuity: The number of documented works provides an indication of continued engagement with research and publication.
  • Engineering relevance: The supplied subject classification places the researcher’s scholarly activity within engineering, a broad field encompassing technological, methodological, and applied research.
  • Academic development: The combination of publication output and citation activity can serve as one component of evaluating an emerging or developing scientific career.

A complete assessment of individual contributions would require examination of the underlying publications, authorship roles, venues, methodological innovations, datasets, patents where applicable, and documented practical or societal applications. Those details are not supplied in the input data and therefore are not inferred here.

Publications

The supplied scholarly profile reports 22 documents associated with Sina Shakeri. [1] The available information does not provide a complete publication-by-publication bibliography, publication titles, journal names, publication years, authorship positions, or DOI identifiers. Accordingly, individual publications and DOI records are not reproduced or inferred in this article.

For an authoritative and current publication list, readers should consult the researcher’s linked scholarly profile. Bibliometric information should be interpreted with awareness that citation counts, document totals, and h-index values may change as databases are updated and additional publications or citations are indexed.

Research Impact

Research impact can be assessed through both quantitative and qualitative evidence. The reported 197 citations provide one quantitative indicator of scholarly visibility, while the h-index of 8 provides an additional measure of the distribution of citations across the researcher’s publications. [1] Neither measure, considered independently, establishes the originality, societal value, methodological quality, or practical significance of research.

For a comprehensive evaluation, citation indicators may be considered alongside peer-reviewed publication quality, research originality, collaboration, interdisciplinary relevance, technological or industrial application, conference contributions, research funding, mentoring, and other documented forms of academic service. Such evidence would allow a broader assessment of the researcher’s influence within engineering and related research communities.

Award Suitability

The supplied profile presents several characteristics that may be relevant when considering suitability for a Young Scientist Award, including an identifiable engineering research focus, a documented publication record, and measurable citation activity. The profile records 22 documents, 197 citations, and an h-index of 8. [1]

Potential evaluation areas for an academic recognition process may include:

  1. Quality and relevance of peer-reviewed research.
  2. Originality and methodological strength of research contributions.
  3. Consistency and development of the publication record.
  4. Scholarly influence as reflected by appropriate citation and research-use indicators.
  5. Contribution to engineering knowledge, technology, or application.
  6. Evidence of collaboration, interdisciplinary activity, or broader academic engagement.
  7. Alignment of documented achievements with the applicable award criteria.

On the basis of the information supplied, Shakeri has a documented academic profile that can reasonably be reviewed for young-researcher recognition. Final eligibility, nomination status, judging, and award outcomes remain subject to the official rules and evaluation procedures of the Global Academic Awards.

Conclusion

Sina Shakeri is an engineering researcher affiliated with Flinders University, Australia, with a supplied scholarly profile reporting 22 documents, 197 citations, and an h-index of 8. [1] These indicators demonstrate a measurable record of scholarly publication and citation activity. In the context of the Young Scientist Award, the profile provides a basis for academic review, while a complete assessment should additionally consider the quality, originality, significance, and broader impact of the underlying research.

The information presented here is intended as a structured academic recognition profile. It does not independently certify an award result, ranking, or formal endorsement and should be read together with the applicable criteria and official information published by the Global Academic Awards.

References

  1. Google Scholar. (n.d.). Author profile: Sina Shakeri, Scholar ID h3L9AzwAAAAJ. Google Scholar. https://scholar.google.com/citations?user=h3L9AzwAAAAJ&hl=en
  2. Flinders University. (n.d.). Flinders University research and academic information. Flinders University.
  3. Global Academic Awards. (n.d.). Global Academic Awards. Official award website. https://globalacademicawards.com/

Mohammad Neshati | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr . Mohammad Neshati | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr . Mohammad Neshati, Ferdowsi University of Mashhad, Iran

Dr. Mohammad Hassan Neshati is an Associate Professor in the Department of Electrical Engineering and Electronics at Ferdowsi University of Mashhad, Iran. Born in Yazd in 1959, he specializes in microelectronics, microwave engineering, and antenna design. With over two decades of academic and research experience, Dr. Neshati has been a reviewer and editorial board member for esteemed journals such as IEEE-AP and the International Journal of Antennas and Propagation. A senior IEEE member, he has supervised numerous MSc and PhD students. Dr. Neshati is fluent in English and Persian, contributing significantly to advancements in dielectric resonator antenna technologies.

Publication Profile

Orcid

Education

Dr. Neshati earned his PhD in Electrical Engineering from UMIST (University of Manchester Institute of Science and Technology), UK, where he specialized in numerical modeling and application studies of rectangular dielectric resonator antennas. Before that, he obtained his MSc in Electronics from Amir-Kabir University of Technology, Tehran, focusing on telemetry and radio frequency circuit design. His academic journey began with a BS degree in Electrical Engineering from Isfahan University of Technology, Iran. Throughout his education, Dr. Neshati demonstrated exceptional academic performance, earning scholarships and accolades for his research contributions.

Experience

Dr. Neshati has extensive teaching and research experience, beginning as an Instructor at Sistan & Baluchistan University (1989–1996), later becoming an Assistant Professor there until 2007. He then joined Ferdowsi University of Mashhad, progressing from Assistant Professor (2007–2008) to Associate Professor (2008–present). Dr. Neshati serves on editorial boards of several international journals and is a reviewer for IEEE journals. He has also mentored numerous MSc and PhD students, contributing significantly to academic research and engineering education. His expertise covers microelectronics, microwave devices, antennas, and network analyzers, supported by advanced proficiency in simulation tools like MATLAB, HFSS, and ADS.

Awards and Honors

Dr. Neshati has been a Senior Member of IEEE since 2013 and a regular member since 2000. He was awarded a prestigious scholarship to pursue his PhD studies at UMIST, where he was recognized as a top selected PhD student during 2000–2001. His academic excellence, leadership in research, and significant contributions to the fields of microwave engineering and antenna design have earned him notable distinctions. In addition, his editorial roles in prominent journals further highlight his standing in the scientific community. Dr. Neshati’s awards underscore his commitment to advancing research and fostering academic excellence in electrical engineering.

Research Focus

Dr. Neshati’s research centers around microelectronics, microwave engineering, and advanced antenna systems, particularly focusing on rectangular dielectric resonator antennas (RDRAs). His PhD work combined theoretical modeling, numerical simulation using FEM, and experimental validation of RDRAs. Key areas of investigation include resonance frequency optimization, radiation patterns, Q-factor, impedance bandwidth, and coupling mechanisms. His studies explore various feed structures like probe-fed and microstrip-coupled systems, addressing practical challenges such as fabrication imperfections. Dr. Neshati’s current research extends to dual-band antennas, backward radiation reduction, and dielectric resonator applications, contributing innovations in wireless communication and RF systems design.

Publication Top Notes

  • Development of a Compact Microstrip Antenna Using Slow-Wave Artificial Dielectric Substrate – Microwave and Optical Technology Letters (2025) πŸ“‘, DOI: 10.1002/mop.70191

  • Textile-based high-gain bow-tie antenna using metamaterials for medical applications – Engineering Reports (2024) πŸ₯, DOI: 10.1002/eng2.12949

  • Efficient Design Procedure for Combline Bandpass Filters With Advanced Electrical Responses – IEEE Access (2023) πŸ”§, DOI: 10.1109/ACCESS.2023.3278791

  • Equivalent Circuit Modeling of a Transmission Mode FSS Structure with Anisotropic Substrate and Enhanced Parameters – Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2022) πŸ”¬, DOI: 10.1007/s40998-022-00489-2

  • Development of a New Method for Pattern Synthesizing of Linear and Planar Arrays Using Legendre Transform With Minimum Number of Elements – IEEE Transactions on Antennas and Propagation (2022) πŸ“‘, DOI: 10.1109/TAP.2021.3137200

  • A new noniterative method for pattern synthesis of unequally spaced linear arrays – International Journal of RF and Microwave Computer-Aided Engineering (2019) πŸ”§, DOI: 10.1002/mmce.21921

  • Crosstalk analysis of uniform and nonuniform lossy microstrip‐coupled transmission lines – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚑, DOI: 10.1002/mmce.21916

  • Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚑, DOI: 10.1002/mmce.21677

  • Design and Development of High-Gain SIW H-Plane Horn Antenna Loaded With Waveguide, Dipole Array, and Reflector Nails Using Thin Substrate – IEEE Transactions on Antennas and Propagation (2019) πŸ“‘, DOI: 10.1109/TAP.2019.2896445

  • Input impedance modeling of patch and semi-rectangular substrate integrated waveguide cavity hybrid antenna – AEU – International Journal of Electronics and Communications (2018) πŸ”§, DOI: 10.1016/j.aeue.2018.03.013

Muhammad Imran | Mechanical Engineering | Best Researcher Award

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Dr. Muhammad Imran | Mechanical Engineering | Best Researcher Award

Student, Tsinghua, China

Dr. Muhammad Imran is a dedicated Mechanical Design Engineer and Lecturer at the University of Engineering and Technology, Lahore (Faisalabad Campus) πŸ‡΅πŸ‡°. He holds an MSc in Mechanical Design Engineering from UET Lahore (2017) and a BSc in Mechanical Engineering from Bahauddin Zakariya University, Multan (2011). His research focuses on nanomaterials, thermal analysis, and automotive aerodynamics 🏎️πŸ”₯. Dr. Imran has published in high-impact journals and presented at international conferences. He has also worked as a Production Engineer at Orient Group and POLYPET Ltd. Additionally, he actively contributes to community service and technical education. βœ¨πŸ“š

Publication Profile

Google Scholar

πŸŽ“ Education Background

Dr. Muhammad Imran holds a Master of Science in Mechanical Design Engineering (2015-2017) from the University of Engineering and Technology, Lahore, Pakistan πŸŽ“, where he conducted research on the thermal and electrical properties of 2D polymeric nanocomposites. He earned his Bachelor of Science in Mechanical Engineering (2007-2011) from Bahauddin Zakariya University, Multan πŸ—οΈ, focusing on the thermal analysis of shell and tube heat exchangers. His academic foundation includes a Higher Secondary School Certificate (2005-2007) in Pre-Engineering (76%) πŸ“š from Abdalian Science H/S School and a Secondary School Certificate (2003-2005) in Science (61%) from Govt. High School, Kahror Pacca. πŸ”¬

πŸ”¬ Research Projects

Dr. Muhammad Imran has actively contributed to multiple research projects in mechanical and materials engineering. His work on 2D Materials Synthesis and Characterization focused on synthesizing graphene via the Liquid Exfoliation Method and analyzing its microstructure (XRD, SEM, AFM) along with its mechanical, thermal, and electrical properties. πŸ—οΈ He also conducted a Thermal Analysis of Shell and Tube Heat Exchangers, optimizing performance by modifying baffle plate materials. πŸš— Additionally, he explored Automotive Aerodynamics, using commercial software to analyze vehicle motion under varying conditions, enhancing efficiency and performance insights for high-speed automobiles. βš™οΈ

πŸ‘¨β€πŸ« Work Experience

Dr. Muhammad Imran has extensive experience in academia and industry. Since 2017, he has been a Lecturer at UET Lahore (Faisalabad Campus), teaching courses in mechanical design, CAD/CAM, and thermal sciences, while also conducting research in nanomaterials, IoT, and hybrid bikes. πŸ—οΈ Previously, he served as a Lecturer and Laboratory Engineer at COMSATS University, Sahiwal (2014–2017), managing labs and preparing PEC-required documentation. βš™οΈ His industrial experience includes roles as a Production Engineer at Orient Group (2012–2014) and POLYPET (2011–2012), optimizing production processes. Additionally, he has worked as a Visiting Instructor at MNS-UET and Allama Iqbal Technology College. πŸŽ“

🌍 Social Work, Awards & Professional Memberships

Dr. Muhammad Imran is an active Social Organizer, conducting dengue awareness seminars in his village and department. 🦟 He is a member of Al-Khidmat Foundation, Lodhran, contributing to community welfare. πŸ₯ His achievements include 2nd place in a district-level cricket championship and participation in the 1st Punjab marathon race. πŸ† He holds professional memberships in PEC, IAENG, and the Pakistan Engineering Congress. βš™οΈ His certifications include English proficiency and nano-technology workshops. πŸ… Additionally, he has attended biomechatronics and MEMS sensor workshops, showcasing his dedication to professional development. πŸ“œ

πŸ† Awards, Honors & Professional Memberships

Dr. Muhammad Imran has achieved 2nd position in a district-level school cricket championship 🏏 and holds a participation certificate in the 1st Punjab marathon race πŸƒ. His extracurricular achievements also include participation in school-level cricket tournaments. He is a registered member of the Pakistan Engineering Council (PEC) βš™οΈ and holds memberships in the International Association of Engineers (IAENG), the Pakistan Engineering Congress, and the Society of Mechanical Engineers. 🌍 His affiliations reflect his dedication to professional growth and active participation in the global engineering community. πŸš€

πŸ”¬ Research Focus

Dr. Muhammad Imran’s research primarily focuses on nanomaterials, mechanical engineering, and smart technologies. His work includes graphene-based nanocomposites πŸ§ͺ, CFD analysis of heat exchangers 🌑️, and automotive aerodynamics πŸš—. He has also contributed to IoT applications 🌐, such as smart healthcare solutions for COVID-19 πŸ₯ and hybrid bike development 🚴. His expertise extends to robotics πŸ€–, pipe inspection systems, and gesture-controlled robotic arms. Additionally, he explores manufacturing optimization, subsurface integrity in machining, and energy absorption in composite materials πŸ—οΈ. His interdisciplinary approach bridges materials science, automation, and thermal engineering. πŸš€

Publication Top Notes

1️⃣ Effect of graphene oxide doped nano coolant on temperature drop across the tube length and effectiveness of car radiator – A CFD study πŸŒ‘οΈπŸ› οΈ – Cited by: 29 (2020)
2️⃣ Effect of nano-filler graphene on nano-composite system of polystyrene-graphene πŸ§ͺπŸ”¬ – Cited by: 22 (2018)
3️⃣ Tensile testing of polystyrene graphene 2D nano composite membrane βš™οΈπŸ“ – Cited by: 19 (2018)
4️⃣ An IoT-fuzzy intelligent approach for holistic management of COVID-19 patients πŸ₯πŸ€– – Cited by: 15 (2024)
5️⃣ Vision‐Based Mobile Manipulator for Handling and Transportation of Supermarket Products πŸ›’πŸ€– – Cited by: 10 (2022)
6️⃣ Effect of core corrugation angle on static compression of self-reinforced PP sandwich panels and bending energy absorption of sandwich beams πŸ—οΈπŸ“ – Cited by: 6 (2021)
7️⃣ Automotive Aerodynamics Analysis Using Two Commonly Used Commercial Software πŸš—πŸ’¨ – Cited by: 2 (2019)
8️⃣ Design and Development of IoT-Based Hybrid Bike with Multiple Modes of Charging πŸš΄πŸ”‹ – Cited by: 1 (2022)
9️⃣ Optimising Subsurface Integrity and Surface Quality in Mild Steel Turning: A Multi-Objective Approach to Tool Wear and Machining Parameters πŸ­βš™οΈ (2025)
πŸ”Ÿ Design and Fabrication of Autonomous Pipe Inspection Robot πŸ€–πŸ› οΈΒ  (2022)
1️⃣1️⃣ Vision-Based Gesture Control Robotic Arm βœ‹πŸ€– (2020)

Akram Sheikhi | Engineering Award | Best Researcher Award

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Prof. Akram Sheikhi | Engineering Award | Best Researcher Award

Prof. Akram Sheikhi, Lorestan University, Iran

Based on the information provided, Prof. Akram Sheikhi appears to be a strong candidate for the Research for Best Researcher Award. Here’s a detailed evaluation:

Publication profile

Scopus

Google Scholar

Education and Academic Background

Prof. Akram Sheikhi holds a Ph.D. in Electrical Engineering from Razi University, Iran (2011-Mar. 2015), a Master’s degree from the same institution (2008-Aug. 2010), and a Bachelor’s degree in Electrical Engineering from Shariaty Technical College, Tehran, Iran (2005-Jul. 2007). His academic credentials are robust and reflect a solid foundation in electrical engineering, which is crucial for advanced research.

Skills and Expertise

Prof. Sheikhi is proficient in analyzing passive and active circuits, designing high-frequency PCB boards, and using various design and simulation tools such as Altium, Advanced Design System, and PSpice. His intermediate skills in HFSS, CST, HSPICE, and Matlab, along with proficiency in LATEX and Office, enhance his capability to conduct and present sophisticated research. These technical skills are essential for the advanced research topics he is involved in.

Academic Experience

Prof. Sheikhi has a diverse range of academic roles. He is currently a Visiting Associate Professor at the University of Bristol (Nov. 2023-Present) and an Associate Professor at Lorestan University (June 2020-Present). His previous positions include Assistant Professor and Lecturer at Lorestan University. This extensive academic experience demonstrates his ongoing commitment to research and education, which is a key factor for the Research for Best Researcher Award.

Honours and Awards

He graduated with honors in both his MSc and PhD programs and is a Senior Member of IEEE. These accolades highlight his academic excellence and recognition in the professional community, reflecting his high standing in the field of electrical engineering.

Research Interests

Prof. Sheikhi’s research interests are well-aligned with cutting-edge technology in electrical engineering. His focus areas include:

Advanced RF and Microwave Instrumentation and Measurements: Demonstrates expertise in high-frequency technologies.

RF and Microwave Wideband and Narrow-Band Power Amplifiers: Reflects a specialization in power amplification technologies.

Analog Passive Circuits Design and Optimization: Shows proficiency in circuit design and optimization.

Microwave Antenna and Sensors: Indicates a strong background in antenna design and sensing technologies.

Wireless Power Transfer Systems: Highlights involvement in innovative energy transfer solutions.

Artificial Intelligence (AI) Applications in RF/Microwave Circuits: Points to an integration of AI with traditional RF/microwave technologies, showcasing a forward-looking approach.

Publication Top Notes

  • Design of compact wide stopband microstrip low-pass filter using T-shaped resonator – A Sheikhi, A Alipour, A Abdipour, IEEE Microwave and Wireless Components Letters 27 (2), 111-113 πŸ“ˆ (65 citations) 2017
  • Design and fabrication of an ultra-wide stopband compact bandpass filter – A Sheikhi, A Alipour, A Mir, IEEE Transactions on Circuits and Systems II: Express Briefs 67 (2), 265-269 πŸ“‰ (43 citations) 2019
  • Ultra high capacity inter-satellite optical wireless communication system using different optimized modulation formats – A Alipour, A Mir, A Sheikhi, Optik 127 (19), 8135-8143 🌌 (42 citations) 2016
  • Compact lowpass filter with wide stopband using modified semi-elliptic and semi-circular microstrip patch resonator – M Hayati, A Sheikhi, A Lotfi, Electronics Letters 46 (22), 1507-1509 πŸ” (38 citations) 2010
  • Design of microstrip wide stopband lowpass filter with lumped equivalent circuit – A Sheikhi, A Alipour, H Hemesi, Electronics Letters 53 (21), 1416-1418 πŸ’‘ (32 citations) 2017
  • High-Efficiency Class-and Class-F/E Power Amplifiers at Any Duty Ratio – A Sheikhi, M Hayati, A Grebennikov, IEEE Transactions on Industrial Electronics 63 (2), 840-848 πŸ“Š (31 citations) 2015
  • Class-F power amplifier with high power added efficiency using bowtie-shaped harmonic control circuit – M Hayati, A Sheikhi, A Grebennikov, IEEE Microwave and Wireless Components Letters 25 (2), 133-135 πŸ“‰ (31 citations) 2015
  • Effect of Nonlinearity of Parasitic Capacitance on Analysis and Design of Class E/F3 Power Amplifier – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (8), 4404-4411 πŸ”¬ (30 citations) 2014
  • Microstrip lowpass filter with high and wide rejection band – M Hayati, H Asadbeigi, A Sheikhi, Electronics Letters 48 (19), 1217-1219 πŸ“‰ (30 citations) 2012
  • Design and Analysis of Class E/F Power Amplifier with Nonlinear Shunt Capacitance at Nonoptimum Operation – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (2), 727-734 πŸ“ˆ (28 citations) 2014


Conclusion

Prof. Akram Sheikhi’s combination of a solid educational background, extensive skills and expertise, substantial academic experience, recognized honours and awards, and diverse research interests make him a highly suitable candidate for the Research for Best Researcher Award. His contributions to advanced RF and microwave technologies and integration with AI are particularly noteworthy, positioning him as a leading researcher in his field.

 

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.

PublicationsΒ 

  • Review on brain tumor detection using digital image processing – 12 citations, 2014 πŸ“Š
  • Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis – 10 citations, 2021 πŸ“ˆ
  • 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 πŸ€–
  • Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality – 1 citation, 2019 πŸ“‰
  • 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 πŸ§ͺ
  • 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 πŸ“‰
  • 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 πŸ”
  • Automatic Liver and Subcutaneous Fat Segmentation from MRI-PDFF Images – No citations yet, 2020 πŸ₯
  • 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 πŸ”¬
  • 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 πŸ“‰
  • Semi-Automatic Quantitative Analysis of Cartilage Thickness & T2 Values – No citations yet, 2018 πŸ“
  • 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 πŸ–ΌοΈ

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.

 

Simerdeep Sood | Structural Engineering Award | Best Researcher Award

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Simerdeep Sood | Structural Engineering Award | Best Researcher Award

Simerdeep Sood, Sardar Vallabhbhai National Institute of Technology, India

Simerdeep Kaur Sood is a PhD candidate in Structural Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), focusing on nanomaterials in cement composites. A gold medalist in both her BE and ME, she achieved first rank in Gujarat State. As proprietor of Stark Building Concepts and CEO of Decaloog Pedagogy Services, she excels in structural design and educational consulting. Fluent in English, Hindi, Punjabi, and Gujarati, Simerdeep is also an avid reader, dancer, and occasional gamer. Her research has been published in esteemed journals, reflecting her dedication to advancing structural engineering. πŸ“πŸ“–πŸ’Ό

 

Publication Profile

Google Scholar

Education

πŸŽ“ Simerdeep Kaur Sood is currently pursuing her PhD in Structural Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), focusing on the application of nanomaterials in cement composites for enhanced mechanical strength and fracture properties. She completed her ME in Structural Engineering from SCET, Gujarat Technological University, in 2022, achieving a CGPA of 9.37 and securing the first rank in Gujarat State πŸ₯‡. Simerdeep also completed her BE in Civil Engineering from SCET in 2020 with a CGPA of 9.73, attaining the highest CPI in the history of the college. Her academic journey began at Kids Planet English School, where she excelled with high percentile scores πŸ“š.

 

Work Experience

πŸ’Ό Simerdeep Kaur Sood is the proprietor of Stark Building Concepts, a consulting firm established in July 2020. The firm specializes in providing comprehensive structural designs, detailed drawings, and execution guidelines, along with proof-checking for residential, commercial, and industrial buildings. They also offer consulting services for government projects through various institutes and engineers πŸ—οΈ. Since 2018, Simerdeep has also served as the shareholder and CEO of Decaloog Pedagogy Services Pvt. Ltd., which offers consulting services in primary and secondary education. The company excels in event management for educational institutions and ensures deliverables across all educational departments, including sports and extra-curricular activities πŸŽ“πŸŽ‰.

 

CertificatesΒ 

πŸ… Simerdeep Kaur Sood has achieved numerous certifications and accolades. She ranked first in Gujarat State for both her BE and ME degrees, earning a gold medal from the Institute of Architects and Civil Engineers (ICEA) for standing first in BE Civil, Surat. Additionally, she received three gold medals from Gujarat Technological University, Gujarat Institute of Civil Engineers and Architects (GICEA), and ICEA for her top performance in Gujarat State and ME Structural Engineering πŸ₯‡. Simerdeep attended a workshop on Digital Image Correlation at the Indian Institute of Science, Bangalore, and holds certifications from GATE, Gujarat Board, QCAD, and LibreOffice. Her dedication extends to various extra-curricular activities, earning her numerous certificates throughout her educational journey πŸ“œπŸŽ“.

 

Research Focus

πŸ”¬ Simerdeep Kaur Sood focuses her research on the advanced field of nano-engineered cement composites, specifically studying their fracture performance. Her notable work, “An overview of recent advances in fracture performance of nano-engineered cement composites,” co-authored with GR Vesmawala and published in Construction and Building Materials, highlights the cutting-edge developments in this area. Her research aims to enhance the mechanical strength and fracture properties of cement composites by integrating nanomaterials, contributing to the development of next-generation construction materials. This innovative approach positions her at the forefront of structural engineering research, pushing the boundaries of material science πŸ—οΈπŸ§ͺ.

 

Publication Top Notes

An overview of recent advances in fracture performance of nano engineered cement composites