Shouping Xu | Biology and Life Sciences | Best Researcher Award

Published on by Research Hypothesis

Assoc. Prof. Dr. Shouping Xu | Biology and Life Sciences | Best Researcher Award

Assoc. Prof. Dr. Shouping Xu | Biology and Life Sciences | Medical Physicist | Cancer Hospital Chinese Academy of Medical Sciences | China

Assoc. Prof. Dr. Shouping Xu is a distinguished medical physicist specializing in radiation oncology, with extensive expertise in advanced radiotherapy techniques and the integration of artificial intelligence in cancer treatment. He holds degrees in nuclear physics and medical physics from leading Chinese institutions and has served in senior leadership roles as Chief Clinical Medical Physicist at the Cancer Hospital, Chinese Academy of Medical Sciences, and previously at the Chinese PLA General Hospital and Yi Zhou Proton Therapy Center. Assoc. Prof. Dr. Shouping Xu  has made significant contributions to the development of innovative dose prediction models, proton therapy planning, and image-guided radiotherapy, with numerous publications in high-impact international journals. His active engagement in global conferences, memberships in professional societies, and certifications from recognized boards reflect his commitment to advancing medical physics. Widely respected for both his clinical leadership and research excellence, Assoc. Prof. Dr. Shouping Xu continues to play a key role in shaping the future of precision radiotherapy and medical imaging technologies.

Professional Profile 

Education  

Assoc. Prof. Dr. Shouping Xu has a strong academic background in physics and medical physics, beginning with a Bachelor of Science degree in Nuclear Physics Technology from Lanzhou University, China. He went on to pursue advanced studies at Tsinghua University, where he earned a Master of Science degree in Medical Physics from the Department of Engineering Physics, followed by a Doctor of Philosophy in Medical Physics from the same department. His education provided a solid foundation in radiation physics, imaging, and advanced treatment technologies, which has been central to his career in radiation oncology and his contributions to clinical innovation and research in medical physics.

Professional Experience

Assoc. Prof. Dr. Shouping Xu has built an extensive professional career in medical physics, holding key clinical and leadership positions in some of China’s most renowned cancer treatment centers. He currently serves as Chief Clinical Medical Physicist at the Proton Center of the Cancer Hospital, Chinese Academy of Medical Sciences, where he oversees clinical operations, quality management, and research in advanced radiotherapy. Previously, he was Chief Medical Physicist and Vice Director at the Yi Zhou Proton Therapy Center, where he played a pivotal role in establishing clinical workflows and implementing cutting-edge proton and photon therapies. Earlier in his career, he served at the Chinese PLA General Hospital as Chief and Senior Medical Physicist, contributing to innovations in IMRT, image-guided radiotherapy, and quality assurance. With responsibilities ranging from managing multidisciplinary teams to developing clinical protocols and engaging in pioneering research, Assoc. Prof. Dr. Shouping Xu has consistently demonstrated leadership, technical expertise, and a strong commitment to advancing radiation oncology practices.

Research Interest

Assoc. Prof. Dr. Shouping Xu’s research interests lie at the intersection of medical physics, radiation oncology, and artificial intelligence, with a focus on advancing precision radiotherapy. His work emphasizes the development of AI-driven algorithms and deep learning models for dose prediction, treatment planning, and image-guided radiotherapy, aiming to improve both the efficiency and accuracy of cancer treatment. He has conducted extensive studies on proton therapy, CyberKnife radiosurgery, and advanced techniques such as VMAT, IMRT, and adaptive radiotherapy, contributing to innovations in treatment optimization and quality assurance. Additionally, his research explores deformable image registration, dose verification, and the clinical application of AI for enhancing radiotherapy workflows. By bridging physics, engineering, and oncology, Assoc. Prof. Dr. Shouping Xu is committed to translating cutting-edge technologies into practical clinical tools that improve outcomes and safety for cancer patients.

Award and Honor

Assoc. Prof. Dr. Shouping Xu has earned recognition for his significant contributions to medical physics and radiation oncology through his active involvement in international conferences, professional societies, and research achievements. He has been an invited speaker and presenter at prestigious forums such as the AAPM Annual Meetings, the IUPESM World Congress on Medical Physics and Biomedical Engineering, and the Asia-Oceania Congress of Medical Physics, where his work on advanced radiotherapy techniques and AI-driven innovations has been highlighted. His leadership roles as Chief Clinical Medical Physicist and his certifications from the Chinese Board of Medical Physicists (CBMP) and the Chinese Board of Radiation Protection (CBRP) further underscore his professional excellence. Through his research, publications, and professional service, Assoc. Prof. Dr. Shouping Xu has gained both national and international recognition, reflecting his status as a highly respected figure in the field of medical physics.

Publications Top Noted

Dosimetric evaluation of intensity modulated proton therapy and photon volumetric modulated arc therapy for bilateral breast cancer
Year: 2025

Virtual-simulation boosted neural network dose calculation engine for intensity-modulated radiation therapy
Year: 2025

Dose rate correction of a diode array for universal wedge field dosimetric verification
Year: 2025

gMCAP: a GPU-based Monte Carlo proton transport program for high-density tissues with precise nuclear reaction models
Year: 2025

An AI dose-influence matrix engine for robust pencil beam scanning protons therapy
Year: 2025

A feasibility study of dose-band prediction in radiation therapy: Predicting a spectrum of plan dose
Year: 2025

A StarGAN and transformer-based hybrid classification-regression model for multi-institution VMAT patient-specific quality assurance
Year: 2025

Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations
Year: 2024

Dosimetric comparison of ZAP-X, Gamma Knife, and CyberKnife stereotactic radiosurgery for single brain metastasis
Year: 2024

Conclusion

Assoc. Prof. Dr. Shouping Xu is highly suitable for the Best Researcher Award. His combination of clinical leadership, innovative research in AI-driven radiation therapy, and active participation in international scientific forums positions him as a thought leader in medical physics and oncology. With his strong portfolio of publications and pioneering approaches to radiation therapy planning and quality assurance, he demonstrates both scientific excellence and clinical relevance. With further emphasis on international collaborations and translational outcomes, his contributions will continue to shape the future of precision radiotherapy.

Oluwatobi Otun | Biology and Life Sciences | Best Researcher Award

Published on by Research Hypothesis

Dr. Oluwatobi Otun | Biology and Life Sciences | Best Researcher Award 

Postdoctoral Reseacher, at University of the Witwatersrand (WITS), South Africa.

Dr. Oluwatobi Sarah Otun is a distinguished postdoctoral fellow at the University of the Witwatersrand’s Protein Structure-Function Research Unit in Johannesburg, South Africa. With a robust academic foundation, she holds a Ph.D. in Life Sciences from the University of South Africa (2020), an M.Sc. in Life Sciences (2015), and a B.Sc. in Microbiology from Lagos State University, Nigeria (2007). Her research spans microbiology, plant science, and molecular biology, focusing on protein biochemistry and omics technologies. Dr. Otun has authored over 15 peer-reviewed publications and has several articles in review. She actively mentors postgraduate students and contributes to various scientific journals as a reviewer. Her interdisciplinary approach and dedication to scientific advancement have established her as a prominent figure in her field. 🌱🔬📚weblogoa.com+1scitcentralconferences.com+1

Professional Profile

Scopus

ORCID

Education

Dr. Otun’s academic journey commenced with a B.Sc. in Microbiology from Lagos State University, Nigeria, where she investigated the survival of pathogens in traditional beverages. She then pursued an M.Sc. in Life Sciences at the University of South Africa, focusing on the microbiological and nutritional qualities of leafy vegetables. Her doctoral research delved into the transcriptomic, proteomic, and metabolomic profiling of Sclerotinia sclerotiorum, a phytopathogenic fungus, earning her a Ph.D. in Life Sciences in 2020. Her educational background laid a solid foundation for her interdisciplinary research endeavors. 🎓📘🧬weblogoa.com

Experience

Dr. Otun’s professional trajectory includes significant roles in research and clinical settings. She currently serves as a postdoctoral fellow at the University of the Witwatersrand, focusing on protein structure-function analysis and omics applications in pathogen studies. Previously, she worked as a microbiology researcher at the Council for Scientific and Industrial Research (CSIR) in Pretoria, South Africa, contributing to various scientific projects. Additionally, she gained clinical experience as a medical laboratory technician at Ayodele Medical Centre in Lagos, Nigeria. These positions have enriched her research perspective, blending theoretical knowledge with practical applications. 🔬🧪👩‍🔬

Research Interests

Dr. Otun’s research interests encompass several key areas:

  • Protein structure-function analysis of microbial and plant proteins.

  • Application of omics technologies (transcriptomics, proteomics, metabolomics) in pathogen studies.

  • Cancer research, focusing on therapeutic targets and natural compounds.

  • Investigation of antimicrobial resistance mechanisms in ESKAPE pathogens.

  • Utilization of 3D cell culture models for cancer and drug response studies.

  • Engineering natural product biosynthesis for pharmaceutical applications.

  • Structure-based drug design using molecular docking and simulation tools.

  • Biotechnology-driven solutions for sustainable agriculture and food safety.
    Her interdisciplinary approach aims to bridge gaps between microbiology, biotechnology, and medicine. 🧬🧪🌿weblogoa.com+1scitcentralconferences.com+1

Awards

Dr. Otun’s exceptional contributions to science have been recognized through several prestigious awards:

  • 2023: Asia’s Outstanding Researcher Award by the Asia Research Awards, in association with Times of Research and the World Research Council, at ASTRA 2023.

  • 2025: Provisional Selection for Best Researcher Award by the International Research Hypothesis Excellence Award, recognizing her recent publication on muscadine grape extracts in cancer treatment.

  • 2025: UCL-Wits Preclinical 3D Modeling Team Science Award, awarded by the UCL-Wits University Strategic Partnership Platform for a meritorious project.
    These accolades underscore her commitment to advancing scientific knowledge and innovation. 🏆🌍🔬

Top Noted Publications

Dr. Otun has an extensive publication record in renowned scientific journals

  1. Otun, S., & Ntushelo, K. (2020).
    Proteomic analysis of the phytogenic fungus Sclerotinia sclerotiorum.
    Journal of Chromatography B, 1144, 122053.
    DOI: 10.1016/j.jchromb.2020.122053

  • Published in volume 1144 of Journal of Chromatography B.

  • Article number: 122053 (often journals use article numbers instead of page ranges).

2. Mbovane, M.M.S., Gangireddygari, V.S.R., Otun, O.S., & Ntushelo, K. (2021).
Phylogenetic Analysis of Selected Genes of Pectobacterium carotovorum Subsp. Brasiliense.
SSRN (preprint server).
DOI: 10.2139/ssrn.3992372

  • This is a preprint hosted on SSRN (Social Science Research Network).

  • No volume or issue because it’s a preprint.

3. Otun, S.O., Achilonu, I., & Ntushelo, K. (2022).
Proteomics analysis of the phytopathogenic fungus Sclerotinia sclerotiorum: a narrative review.
Journal of Bio-XResearch, 5(3), 112–117.
DOI: 10.1097/JBR.0000000000000130

  • Volume 5, Issue 3, pages 112 to 117.

4. Pooe, K., Thulo, M., Makumbe, H., Akumadu, B., Otun, O., Aloke, C., & Achilonu, I. (2022).
Biophysical description of Bromosulfophthalein interaction with the 28-kDa glutathione transferase from Schistosoma japonicum.
Molecular and Biochemical Parasitology, 252, 111524.
DOI: 10.1016/j.molbiopara.2022.111524

  • Volume 252, article number 111524.

5. Otun, S.O., & Ntushelo, K. (2024).
A data catalogue of alcohol dehydrogenases in the genome of a tissue macerating Pectobacterium brasiliense isolated from potato in South Africa.
Data in Brief, 52, 109918.
DOI: 10.1016/j.dib.2023.109918 (likely based on journal’s DOI pattern)

  • Volume 52, article number 109918.

Conclusion

Dr. Oluwatobi Sarah Otun exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. Her strong academic foundation, impressive research output, innovative work with societal relevance, and active professional engagement position her as a leading candidate. While minor enhancements in international collaboration and impact metrics reporting could further bolster her profile, her contributions to molecular biology, biotechnology, and cancer research clearly demonstrate her excellence and significant impact in her field.