Dr. Permal Deo | Prostate Cancer | Best Researcher Award

Senior Lecturer | Clinical and Health Sciences, University of South Australia | Australia

Dr. Permal Deo is a distinguished food scientist and academic leader renowned for his contributions to nutrition, food biochemistry, and public health research. He holds a PhD in Food Biochemistry from Queen’s University Belfast, UK, where his doctoral work investigated the effects of food-derived advanced glycation end-products (AGEs) on oxidative stress and receptor activity in human cell lines. Complementing this, he earned a Master of Applied Science and Postgraduate Diploma from The University of Queensland, Australia, and a Bachelor of Science from The University of the South Pacific, Fiji. With over two decades of academic, research, and industry experience, Dr. Deo’s expertise encompasses food microbiology, food processing, functional foods, and the molecular pathways linking type 2 diabetes and Alzheimer’s disease. His research emphasizes the bioactivity of natural plant compounds and nutraceuticals in combating oxidative stress and inflammation, as well as the antimicrobial and food safety applications of electrochemically activated solutions. An accomplished mentor and research leader, he has supervised numerous postgraduate students and attracted more than AUD 2.5 million in competitive funding from prestigious bodies including the Australian Research Council, Diabetes Australia, and Horticulture Innovation. His extensive collaborations with institutions such as CSIRO, Monash University, and the University of Adelaide have advanced understanding in genome stability, indigenous food systems, and sustainable nutrition technologies. Widely recognized for his scholarly impact and leadership, Dr. Deo has presented at global scientific conferences and published influential studies in leading journals. His enduring scientific legacy is reflected through 944 citations, 57 documents, and an h-index of 19, underscoring his influential role in advancing the frontiers of food biochemistry, nutritional science, and biomedical innovation.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

1. Snelson, M., Tan, S. M., Clarke, R. E., De Pasquale, C., Thallas-Bonke, V., Deo, P., … & Coughlan, M. T. (2021). Processed foods drive intestinal barrier permeability and microvascular diseases. Science Advances, 7(14), eabe4841. Cited by: 148

2. Sim, D. P., Khazandi, M., Chan, W. Y., Deo, P., & Trott, D. J. (2019). Antimicrobial activity of thyme oil, oregano oil, thymol and carvacrol against sensitive and resistant microbial isolates from dogs with otitis externa. Veterinary Dermatology. Cited by: 106

3. Deo, P., Hewawasam, E., Karakoulakis, A., Claudie, D. J., Nelson, R., & Vemulpad, S. (2016). In vitro inhibitory activities of selected Australian medicinal plant extracts against protein glycation, angiotensin converting enzyme (ACE), and digestive enzymes linked to diabetes. BMC Complementary and Alternative Medicine, 16(1), 435. Cited by: 61

4. Bergamin, A., Mantzioris, E., Cross, G., Deo, P., Garg, S., & Hill, A. M. (2019). Nutraceuticals: Reviewing their role in chronic disease prevention and management. Pharmaceutical Medicine, 33(4), 291–309. Cited by: 60

5. Fenech, M., Knasmueller, S., Knudsen, L. E., Kirsch-Volders, M., Deo, P., … & Bonassi, S. (2021). “Micronuclei and Disease” special issue: Aims, scope, and synthesis of outcomes. Mutation Research/Reviews in Mutation Research, 788, 108384. Cited by: 54

6. Ferro, S., Amorico, T., & Deo, P. (2018). Role of food sanitising treatments in inducing the ‘viable but nonculturable’ state of microorganisms. Food Control, 91, 321–329. Cited by: 54

Dong Zhu | Organ-Defined Cancers | Best Researcher Award

临沂大学 | China

AUTHOR PROFILE

SCOPUS ID

🏥MR. DONG ZHU: ACADEMIC AND PROFESSIONAL PROFILE

🎓EARLY ACADEMIC PURSUITS

Born in May 1999 in Zaozhuang, Shandong Province, China, Mr. Zhu Dong displayed an early aptitude for analytical thinking and computing. He embarked on his academic journey at Linyi University, earning a Bachelor of Engineering in Computer Science and Technology (2020–2022). Recognized for his diligence and academic excellence, he was admitted into the university’s graduate program, where he is currently pursuing a Master of Engineering in Computer Technology (2022–2025).

🩺PROFESSIONAL ENDEAVORS

While still a graduate student, Mr. Zhu has already made substantial strides in the field of medical image processing. He has co-developed advanced deep learning frameworks tailored to complex clinical imaging tasks, such as 3D liver segmentation and breast tumor analysis. His participation in collaborative and interdisciplinary projects reflects a forward-looking and adaptable research mindset.

🔬CONTRIBUTIONS AND RESEARCH FOCUS

Mr. Zhu’s primary research focus is on deep learning applications in medical image segmentation, with specific interests in:

3D U-Net architectures
Attention mechanisms
Multi-scale feature fusion
Electrocardiogram (ECG) signal classification

🏆AWARDS AND HONOURS

National Scholarship, 2023–2024
First-Class Academic Scholarship, 2022–2023 & 2023–2024
Outstanding Communist Youth League Cadre, 2023–2024
Excellent Student Award, 2023–2024
Advanced Individual Award, 2023–2024

🌍IMPACT AND INFLUENCE

Though early in his career, Mr. Zhu’s models are contributing to more accurate, automated diagnosis systems in clinical imaging. His open-access publications and conference proceedings are cited in discussions around deep learning for medical applications, particularly in liver and breast imaging workflows. His interdisciplinary work is fostering stronger links between AI and clinical diagnostics.

🏆LEGACY AND FUTURE CONTRIBUTIONS

With a growing portfolio of first-author publications, Mr. Zhu is establishing himself as a rising researcher in AI-driven medical imaging. His focus on practical, clinically relevant problems positions him to contribute significantly to next-generation diagnostic technologies. In the coming years, he aims to expand his research to include multimodal imaging analysis, federated learning, and real-time diagnostic systems for point-of-care settings.

🧬CONCLUSION

Mr. Zhu Dong represents a new wave of interdisciplinary researchers who blend deep learning techniques with clinical needs. His trajectory reflects not only strong technical skills but also a deep commitment to improving healthcare through innovation. With continued support, mentorship, and exposure to global research networks, he is well-poised to lead breakthroughs in intelligent medical diagnostics.