Laith AL-Eitan | Genetics and Genomics | Innovative Research Award

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Innovative Research Award

Laith AL-Eitan
Jordan University of Science and Technology, Deanship of Research

Laith AL-Eitan
Affiliation Jordan University of Science and Technology, Deanship of Research
Country Jordan
Scopus ID 55352972200
Documents 174
Citations 1,649
h-index 21
Subject Area Genetics and Genomics
Event Computer Scientists Awards
ORCID 0000-0003-0064-0190

Laith AL-Eitan is affiliated with the Jordan University of Science and Technology, Deanship of Research in Jordan. His stated research area is genetics and genomics. This article summarizes the supplied academic profile and its relevance to the Innovative Research Award associated with Computer Scientists Awards. Bibliometric figures are reported as provided and may change as databases are updated. [1]

Abstract

This profile outlines the available academic information for Laith AL-Eitan, including his institutional affiliation, research area, and reported bibliometric indicators. It offers readers a structured overview of his scholarly profile in genetics and genomics.

Keywords

Laith AL-Eitan; genetics; genomics; molecular biology; academic research; research publications; citation analysis; Jordan; Computer Scientists Awards.

Introduction

Genetics and genomics examine heredity, genetic variation, and the structure and function of genomes. Research in these fields contributes to understanding biological processes and may inform biomedical and population-based investigations. Scholarly evaluation considers research methods, reproducibility, originality, and the significance of findings.

Research Profile

The supplied information associates AL-Eitan with the Deanship of Research at Jordan University of Science and Technology. His Scopus author identifier and ORCID record provide reference points for locating and distinguishing scholarly records. [2]

Research Contributions

The stated subject area provides a basis for examining research related to genetics and genomics. Specific projects, discoveries, or methodological contributions should be established through verified publications and institutional information rather than inferred from citation metrics alone.

Publications

The supplied bibliometric information lists 174 documents. Individual publication titles and DOI identifiers were not provided. The linked Scopus profile can be consulted to examine indexed works and publication details. [1]

Research Impact

The supplied profile reports 1,649 citations and an h-index of 21. These indicators describe aspects of scholarly citation activity but do not independently measure research quality, originality, or societal impact. Counts can vary between databases and over time.

Award Suitability

The Innovative Research Award provides a context for recognizing research contributions. AL-Eitan’s stated research area is relevant to scientific investigation in genetics and genomics. Any award assessment should follow the organizer’s eligibility criteria and consider verified publications, originality, and documented research contributions.

Conclusion

Laith AL-Eitan’s supplied profile presents his institutional affiliation, research area, and bibliometric indicators. Consultation of verified publication records can provide a fuller understanding of his scholarly contributions and their relevance to research recognition.

References

  1. Elsevier. (n.d.). Scopus author details: Laith AL-Eitan, Author ID 55352972200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55352972200
  2. ORCID. (n.d.). Researcher identifier record for Laith AL-Eitan.
    https://orcid.org/0000-0003-0064-0190

 

 

Prof. Vali Rasooli Sharabiani | Biological Sciences | Editorial Board Member

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Prof. Vali Rasooli Sharabiani | Biological Sciences | Editorial Board Member

University of Mohaghegh Ardabili | Iran

Dr. Vali Rasooli Sharabiani is a distinguished Professor at the University of Mohaghegh Ardabili, Iran, whose research centers on precision agriculture, smart farming technologies, and non-destructive measurement methods for sustainable crop production and food processing. His scientific work integrates artificial intelligence, hyperspectral imaging, and multivariate data analysis to enhance agricultural efficiency, resource management, and environmental protection. Dr. Sharabiani’s contributions have significantly advanced the understanding of variable rate technology, remote sensing, and the application of machine learning models such as ANNs, ANFIS, and fuzzy logic in agricultural systems. His interdisciplinary approach bridges engineering, agronomy, and data science, making his research highly influential in both academic and industrial sectors. With more than 1,500 citations, an h-index of 21, and an i10-index of 37 on Google Scholar, along with high-impact publications indexed in Scopus, his scholarly achievements reflect strong global recognition. Dr. Sharabiani’s research outputs are widely referenced in the fields of agricultural mechanization, energy-efficient drying systems, and precision monitoring of crop and soil properties.

Profile

Google Scholar

Featured Publications

Kaveh, M., Sharabiani, V. R., Chayjan, R. A., & Taghinezhad, E. (2018). ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption of potato, garlic, and cantaloupe drying under convective hot air dryer. Information Processing in Agriculture, 5(3), 372–387.

Kaveh, M., Chayjan, R. A., Taghinezhad, E., Sharabiani, V. R., & Motevali, A. (2020). Evaluation of specific energy consumption and GHG emissions for different drying methods (Case study: Pistacia Atlantica). Journal of Cleaner Production, 259, 120963.

Jahanbakhshi, A., Kaveh, M., Taghinezhad, E., & Rasooli Sharabiani, V. (2020). Assessment of kinetics, effective moisture diffusivity, and specific energy consumption in the pistachio kernel drying process in microwave drying. Journal of Food Processing and Preservation, 44(6), e14449.

Jahedi Rad, S., Kaveh, M., Sharabiani, V. R., & Taghinezhad, E. (2018). Fuzzy logic, artificial neural network, and mathematical model for prediction of white mulberry drying kinetics. Heat and Mass Transfer, 54(11), 3361–3374.

Rasooli Sharabiani, V., Kaveh, M., Abdi, R., Szymanek, M., & Tanaś, W. (2021). Estimation of moisture ratio for apple drying by convective and microwave methods using artificial neural network modeling. Scientific Reports, 11(1), 9155.

Dr. Alexander Vaccaro | Biotechnology | Best Researcher Award

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Dr. Alexander Vaccaro | Biotechnology | Best Researcher Award

President, Rothman Orthopaedics, United States

Dr. Alexander Richard Vaccaro, M.D., Ph.D., F.A.C.S., is a globally renowned orthopaedic spine surgeon and a pioneer in spinal cord injury research. He serves as the Chairman of Orthopaedics at Sidney Kimmel Medical College at Thomas Jefferson University and the President of the Rothman Institute. With decades of expertise in orthopaedic and neurosurgical advancements, he has played a pivotal role in developing innovative treatments for spinal disorders. His dedication to clinical research, surgical education, and leadership has earned him prestigious awards and global recognition.

Publication Profile

ORCID

🎓 Education

Dr. Vaccaro’s academic journey reflects excellence in medicine, surgery, and business leadership. He graduated Summa Cum Laude in Biology from Boston College (1983), followed by an M.D. from Georgetown University School of Medicine (1987). His surgical internship at Cedars-Sinai Medical Center (1988) and orthopaedic residency at Thomas Jefferson University Hospital (1992) laid the foundation for his career. Further specializing in spine surgery, he completed a Spine Fellowship at the University of California, San Diego (1993). He also earned a Ph.D. from the University of Utrecht, Netherlands (2007) and an MBA from Temple University Fox School of Business (2015), receiving the Dean’s Certificate of Excellence.

💼 Experience

Dr. Vaccaro has over three decades of experience in orthopaedic surgery, neurosurgery, and spinal cord injury treatment. Since 2014, he has been the Chairman of Orthopaedics at Sidney Kimmel Medical College and the Endowed Richard H. Rothman Professor and Chairman of the Department of Orthopaedic Surgery. His long-standing association with Thomas Jefferson University Hospital includes roles as Professor of Orthopaedic Surgery (since 2000) and Professor of Neurosurgery (since 2005). He is also the Co-Director of the Spine Fellowship Program, the Regional Spinal Cord Injury Center of Delaware Valley, and the Reconstructive Spine Service at Rothman Institute. His leadership in spine surgery innovation, education, and research has significantly impacted the field.

🏆 Awards and Honors

Dr. Vaccaro has received numerous prestigious awards for his contributions to spinal surgery and clinical research. Notably, he was the President and Founder of the Association for Collaborative Spine Research (2013). His research excellence has been recognized with the Best Paper Award (2012), the Outstanding Clinical Research Paper (2011), and the Louis A. Goldstein Award for Best Clinical Poster Presentation (2011). His North American Spine Society Top 10 Best Abstracts Award (2011) and multiple international accolades highlight his significant contributions to the field.

🔬 Research Focus

Dr. Vaccaro’s research centers on spinal cord injuries, cervical and lumbar spine disorders, surgical advancements, and spinal biomechanics. His groundbreaking studies have influenced clinical decision-making, surgical techniques, and patient outcomes in orthopaedic and neurosurgical spine treatment. He has led multicenter studies on cervical spondylotic myelopathy, spinal cord trauma, and adjacent segment disease, shaping modern spine surgery practices worldwide.

🔚 Conclusion

Dr. Alexander R. Vaccaro is a visionary leader in spine surgery and orthopaedic research. His exceptional academic background, extensive clinical experience, groundbreaking research, and prestigious accolades make him a trailblazer in spinal cord injury treatment. Through his innovations in spine surgery, mentorship of future surgeons, and relentless pursuit of medical advancements, he continues to transform global spine care and orthopaedic research. 🚀

📖 Publications

Stingers—A Review of Current Understanding and Management – Applied Sciences, 2025 🔗 DOI: 10.3390/app15073510

Epidemiology of Spinal Cord Injury and Associated Mortality, Past and Present. Is There a Difference? – World Neurosurgery, 2024 🔗 DOI: 10.1016/j.wneu.2024.10.009

Cellular Bone Matrix Leading to Disseminated Tuberculosis After Spinal Fusion – JBJS Case Connector, 2023 🔗 DOI: 10.2106/JBJS.CC.23.00047

The Role of Exercise in the Alleviation of Neuropathic Pain Following Traumatic Spinal Cord Injuries: A Systematic Review and Meta-analysis – Neurospine, 2023 🔗 DOI: 10.14245/ns.2346588.294

Complete Versus Incomplete Surgical Resection in Intramedullary Astrocytoma: Systematic Review with Individual Patient Data Meta-Analysis – Global Spine Journal, 2023 🔗 DOI: 10.1177/21925682221094766

Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

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Mr. Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Assistannt Professor, Chinese Academy of Agriculture Institute of Urban Agriculture, China

Mr. Zhiwei Tian is an Assistant Professor at the Intelligent Gardening Equipment Research Center, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. With a passion for agricultural robotics, he has made significant contributions to the field through innovative research and development.

Profile

Google Scholar

Education: 🎓

Zhiwei Tian holds a Bachelor’s degree from Sichuan Agricultural University (2013-2017) and a Master’s degree from the Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs (2017-2020). He is currently pursuing a Ph.D., which he started in 2021.

Experience: 📚

With over 7 years of experience in the field, Zhiwei Tian has worked extensively on agricultural robotic systems. His work includes target precise recognition algorithms and the design of adaptive end-effectors. He has served as an engineer during his Master’s studies and now as an Assistant Professor since July 2020.

Research Interests: 🔍

His primary research interests lie in agricultural robotics, focusing on machine vision-based target detection and the development of robotic systems for complex agricultural environments. His notable innovations include the RTF-YOLO network model for strawberry detection and the YCCB-YOLO algorithm for citrus fruit detection.

Awards: 🏆

Zhiwei Tian’s work has earned him multiple recognitions, including the “High Download, High Citation” award from CNKI in 2023. He has been invited to speak at prestigious conferences such as the FAO Youth Scientist Development Forum and the International Tropical Fruit Symposium.

Publications and Citations

“Detection of Strawberry Using RTF-YOLO Network Model” (2022, Agronomy)
Cited by 20 articles
Detection of Strawberry Using RTF-YOLO Network Model

“Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm” (2023, Applied Sciences)
Cited by 15 articles
Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm

“Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings” (2021, Agriculture)
Cited by 10 articles
Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings