Zhushanying Zhang | Health Professions | Best Researcher Award

Assist. Prof. Dr. Zhushanying Zhang | Health Professions | Best Researcher Award

Assist. Prof. Dr. Zhushanying Zhang, South-Central Minzu University, China

Dr. Zhushanying Zhang holds a Ph.D. in Mechanical and Electronic Engineering from the School of Mechanical Science and Engineering, Huazhong University of Science and Technology. His research focuses on infrared spectroscopy detection, machine learning, optoelectronic detection, and fiber optic sensing. Dr. Zhang has led multiple National Natural Science Foundation of China-funded projects and received special funding for basic scientific research. He has published over ten academic papers and holds three invention patents. His work includes advancing Fourier infrared spectroscopy for noninvasive diabetes diagnosis through blood, urine, and saliva samples. πŸ”¬πŸ“‘πŸ’‘

 

Publication Profile

Scopus

Academic and Professional Background

Assist. Prof. Dr. Zhushanying Zhang graduated with a Ph.D. in Mechanical and Electronic Engineering from the School of Mechanical Science and Engineering at Huazhong University of Science and Technology. His research focuses on infrared spectroscopy detection, machine learning, optoelectronic detection, and fiber optic sensing. Dr. Zhang has led and participated in several research projects funded by the National Natural Science Foundation of China, alongside special funding for basic scientific research from central universities. He has published over ten high-quality academic papers as the first or corresponding author and holds three invention patents. πŸ“šπŸ’‘πŸ“‘

 

Research and Innovations

Assist. Prof. Dr. Zhushanying Zhang has led multiple innovative research projects focused on non-invasive detection technologies. His completed projects include the “Highly Accurate Glucose Detection Using Mid-Infrared Absorption Spectroscopy” (2022-2023, 50,000 Yuan) and “Non-invasive Uric Acid Detection by Near-Infrared Spectroscopy” (2018-2020, 40,000 Yuan), both funded by the Fundamental Research Funds for Central Universities. He also presided over the “Non-invasive Detector for Human Weak Components” (2021-2023, 100,000 Yuan) and “Human Saliva Infrared Spectroscopy Detection” (2022-2023, 500,000 Yuan). His work in Fourier infrared spectroscopy offers promising advancements for diabetes diagnosis using blood, urine, and saliva samples. πŸ§¬πŸ“Š

 

Research Areas

Assist. Prof. Dr. Zhushanying Zhang’s research spans across multiple cutting-edge fields. His expertise in infrared spectroscopy and fiber optic sensing focuses on non-invasive medical diagnostics, particularly for glucose and uric acid detection. Utilizing machine learning techniques, he enhances the accuracy and efficiency of sensor data analysis. His work in medical sensing aims to revolutionize healthcare by developing innovative detection technologies. Additionally, Dr. Zhang applies chemometrics to optimize data interpretation, advancing the potential of these technologies for real-world applications, especially in diagnostics and healthcare monitoring. πŸ”πŸ’‘πŸ“ˆ

 

Publication Top Notes Β 

  1. “Advances in Fourier infrared spectroscopy for noninvasive diagnosis of diabetes mellitus: Analysis and prospects for application based on blood, urine, and saliva samples” (2024) πŸ“„
  2. “Precise measurement of human heart rate based on multi-channel radar data fusion” (2024) πŸ“„
  3. “A comprehensively improved local binary pattern framework for texture classification” (2024) πŸ“„
  4. “Identifying the Role of Disulfidptosis in Endometrial Cancer via Machine Learning Methods” (2023) πŸ“„ | Cited by 1
  5. “Quantitative Analysis of Hemoglobin Based on SiPLS-BP Model” (2023) πŸ“„ | Cited by 2
  6. “Texture classification combining improved local binary pattern and threshold segmentation” (2023) πŸ“„ | Cited by 12
  7. “Mid-infrared spectroscopy with an effective variable selection method based on MPA for glucose detection” (2023) πŸ“„ | Cited by 5
  8. “Influencing Factors of Mid-Infrared Spectrum Blood Glucose Detection” (2023) πŸ“„ | Cited by 2
  9. “Quantitative Analysis of Hemoglobin Based on SiPLS-SPA Wavelength Optimization” (2023) πŸ“„ | Cited by 3
  10. “Thermal performance of LED filament in flip-chip packaging manufactured for different correlated color temperature” (2021) πŸ“„ | Cited by 1

Serhat Aras | Health Professions | Best Researcher Award

Assoc. Prof. Dr. Serhat Aras | Health Professions | Best Researcher Award

Assoc. Prof. Dr. Serhat Aras, University of Health Sciences Turkey, Turkey

Assoc. Prof. Dr. Serhat Aras is a nuclear physicist with a Ph.D. from Manisa Celal Bayar University, where he focused on Monte Carlo methods in dose calculations for prostate brachytherapy. He currently serves at the University of Health Sciences, Istanbul, specializing in medical imaging and radiological sciences. Dr. Aras has led research on the radiobiological effects of advanced radiation techniques in cancer treatments, including studies on breast and lung cancer. His teaching includes courses on radiologic imaging, radiation safety, and nuclear medicine. In 2023, he received an International Research Award in India. πŸ§ͺπŸ“‘πŸ‘¨β€πŸ«

 

Publication Profile

Google Scholar


Academic Background

Dr. Aras completed his PhD in Nuclear Physics at Celal Bayar University, focusing on advanced methodologies for calculating patient doses in prostate brachytherapy using Monte Carlo simulations. His Master’s research also focused on dose distribution in brachytherapy, providing a solid foundation for his contributions to medical physics. His specialized education enhances his capacity to innovate in patient-specific dosimetry, an essential area in clinical radiotherapy.

Professional Experience

Dr. Aras serves in the Medical Imaging Techniques Program at Istanbul Health Sciences University. His roles have included Assistant Professor and Lecturer, where he has imparted his knowledge in courses such as Radiologic Imaging Physics, Radiation Safety, and Nuclear Medicine. His expertise in radiology and medical physics makes him an asset to the field, both in research and education, as he prepares future professionals in these highly technical fields.

Research Projects

Dr. Aras has led numerous research projects in radiobiology and oncology, demonstrating his commitment to advancing medical science. His projects include the study of radiobiological impacts on non-small cell lung cancer xenografts and the protective effects of melatonin and probiotics against radiation-induced tissue damage in experimental rat models. His role as a principal investigator in these studies reflects his leadership and research aptitude, focusing on innovative approaches to radiotherapy and radiation protection.

Awards and Recognition

Dr. Aras received the 2023 International Research Award from ISSN, India, which highlights his global research impact. This accolade, along with his publication record, underscores his contributions to nuclear and medical physics on an international level.

Conclusion

Assoc. Prof. Dr. Serhat Aras’s extensive research in medical imaging, radiotherapy, and radiobiological protection, combined with his teaching and leadership roles, makes him a suitable and commendable candidate for the Best Researcher Award. His contributions to nuclear physics applications in medicine reflect both a commitment to scientific advancement and a positive impact on clinical practices.

 

Publication Top Notes Β 

  • Dosimetric comparison of three-dimensional conformal radiotherapy (3D-CRT) and intensity modulated radiotherapy techniques (IMRT) with radiotherapy dose simulations for left breast cancer πŸ’‰ – Cited by: 41, Year: 2019
  • Dosimetric comparison of superflab and specially prepared bolus materials used in radiotherapy practice πŸ“ – Cited by: 27, Year: 2020
  • The role of melatonin on acute thyroid damage induced by high dose rate X-ray in head and neck radiotherapy πŸŒ™ – Cited by: 12, Year: 2021
  • Radioprotective effect of melatonin against radiotherapy-induced cerebral cortex and cerebellum damage in rat 🐭 – Cited by: 11, Year: 2020
  • Radiobiological comparison of flattening filter (FF) and flattening filter free (FFF) beam in rat laryngeal tissue πŸ”¬ – Cited by: 8, Year: 2020
  • Home care for mastectomy patients πŸ₯ – Cited by: 0, Year: 2008
  • A survey study of radiation protection awareness among radiology technicians in Mogadishu, Somalia 🌍 – Cited by: 7, Year: 2020
  • Thoracic re-irradiation for locally recurrent lung cancer 🫁 – Cited by: 5, Year: 2016
  • The dosimetric comparison and evaluation of helical tomotherapy, volumetric-modulated arc radiotherapy (VMAT), step-and-shoot and sliding window radiotherapy techniques in breast cancer πŸ’» – Cited by: 4, Year: 2022
  • Effect of Flattening Filter and Flattening Filter Free beams on radiotherapy-induced peripheral blood cell damage βš—οΈ – Cited by: 4, Year: 2021