Dong Zhu | Organ-Defined Cancers | Best Researcher Award

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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.

 

📊🔬NOTABLE PUBLICATION:

3DMAU-Net: Liver Segmentation Network Based on 3D U-Net

Authors: Zhu, Dong; Ma, Tianyi; Yang, Mengzhu; Hu, Shunbo; Wang, Yongfang
Journal: Optoelectronics Letters
Year: 2025

Dr. Salem Baldi | Cancer Diagnosis | Best Researcher Award

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Dr. Salem Baldi | Cancer Diagnosis | Best Researcher Award

Shaoyang University | China

Author Profile

Scopus

ORCID ID

Google Scholar

🌍Dr. Salem Baldi, Ph.D.
Associate Professor, Medical Laboratory Diagnostics🔬:

🧬Biography:

Dr. Salem Baldi is an esteemed Associate Professor at the Department of Medical Laboratory Diagnostics, Shaoyang University, China. With a strong background in biochemistry, molecular biology, and clinical diagnostics, he has made noteworthy contributions to cancer research and genetic diagnostics 🧬. He previously worked as a Biochemistry Research Scientist at Anxuyuan Biotechnology in Shenzhen, where he applied his expertise in molecular diagnostics.

Dr. Baldi holds a Ph.D. in Clinical Laboratory Diagnostics from Dalian Medical University and a Master’s in Molecular Genetics from Jiamusi University, China. His research expertise spans cancer cell biology, DNA library preparation, and advanced genetic techniques such as CRISPR/Cas9 for disease modeling. 🧫

Fluent in English, Arabic, and Chinese, Dr. Baldi is deeply engaged in the global scientific community, holding memberships in the European Society for Blood and Marrow Transplantation and the Arab Society of Genetic Counselors. His remarkable dedication to science has earned him numerous awards, recognizing his impact in both academic and scientific circles. 🏅

Beyond his professional life, Dr. Baldi enjoys soccer, badminton, tennis, traveling, reading, and gardening ⚽🌿📚.

🧪Research Interests:

  • Cancer Diagnostics 🧫
  • Molecular Genetics 🧬
  • Clinical Laboratory Science 🧪
  • Innovative Approaches in Medical Research 🌱

📊Skills & Expertise:

  • Mammalian Cell Culture (Primary and Cancer Cells)
  • Molecular Cloning, Transfection, Gene Expression
  • PCR, qPCR, Real-Time PCR 🔬
  • Western Blotting, SDS-PAGE, Immunofluorescence
  • DNA Library Preparation (NGS, Illumina, PacBio) 📊
  • CRISPR/Cas9 Disease Modeling 🧬

🏅Awards & Recognitions:

  • 2021: Excellence in Scientific Research 🏅, Yemeni Ministry of Higher Education
  • 2022: Certificate of Gratitude 🙏, Yemeni Students Union, China

🌍Languages:

  • English
  • Arabic
  • Chinese

✨Conclusion:

🌱Dr. Salem Baldi is a dedicated researcher and educator, committed to advancing the field of medical laboratory diagnostics. His expertise in molecular biology and biochemistry, coupled with a global perspective and fluency in multiple languages, positions him as a leader in cancer research and diagnostics. His passion for integrating traditional and modern medical practices drives his innovative approach to improving patient outcomes. Beyond the lab, his diverse interests reflect a well-rounded individual who is deeply engaged in both his personal and professional pursuits. ✨

📊🔬NOTABLE PUBLICATION:

  • Surgery improves survival in bladder signet-ring cell carcinoma-a population-based study
    Authors: Alradhi, M., Safi, M., Tao, S., Baldi, S., Li, X.
    Journal: Therapeutic Advances in Urology
    Year: 2022

 

  • Immune Checkpoint Inhibitor (ICI) Genes and Aging in Clear Cell Renal Cell Carcinoma (ccRCC): Clinical and Genomic Study
    Authors: Al-Danakh, A., Safi, M., Alradhi, M., Zhu, X., Yang, D.
    Journal: Cells
    Year: 2022

 

  • ARID1A downregulation promotes cell proliferation and migration of colon cancer via VIM activation and CDH1 suppression
    Authors: Baldi, S., Zhang, Q., Zhang, Z., Al-Nusaif, M., Zuo, Y.
    Journal: Journal of Cellular and Molecular Medicine
    Year: 2022

 

  • Novel characterization discoveries of ferroptosis-associated molecules in COAD microenvironment based TCGA data
    Authors: Baldi, S., He, Y., Ivanov, I., Gao, Y., Tian, H.
    Journal: Frontiers in Molecular Biosciences
    Year: 2022

 

  • Unraveling the salt tolerance of Phi29 DNA polymerase using compartmentalized self-replication and microfluidics platform
    Authors: Sun, Y., Ko, D.H., Gao, J., He, Y., Tian, H.
    Journal: Frontiers in Microbiology
    Year: 2023

Dr. Marcello Di Giammarco | Carcinoma | Best Researcher Award

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Dr. Marcello Di Giammarco | Carcinoma | Best Researcher Award

University of Pisa & Institute for Informatics and Telematics (IIT-CNR) | Italy

Author Profile

Scopus

Google Scholar

🧑‍🔬 Marcello Di Giammarco: Ph.D. Student in Biomedical Engineering

🎓 Education

Master in Biomedical Engineering
Università degli Studi 'Roma Tre', Rome, Italy
📜 Degree: 2nd level degree in Biomedical Engineering
📈 Final Mark: 104/110
📚 Thesis: EEG Signal Processing Functional to the Description of Cortical Network in Patients with Acute Ischemic Stroke
📅 2018 - 2020

Bachelor in Electronic Engineering
Università degli Studi 'Roma Tre', Rome, Italy
📜 Degree: 1st level degree in Information Technology
📈 Final Mark: 88/110
📚 Thesis: BCI - Brain Computer Interface for Communication and Rehabilitation
📅 2012 - 2017

💼 Work Experience

Ph.D. Student in Information Engineering
Università di Pisa, Pisa, Italy
📅 11/2022 - Present

📚Responsibilities:

  • Research project 'Artificial Intelligence and Cybersecurity in Medical Sector'
  • Conducting doctoral courses and seminars
  • Co-supervisor for Medical Engineering students
  • Research activities, testing artificial networks for medical purposes
  • Publishing articles and presenting at conferences
  • PC member in KES 2024 and EIAB 2024
  • Final doctoral thesis: Personal research project

🌟Co-relator

Università degli Studi del Molise, CB, Italy
📅 02/2022 - Present

📜Responsibilities:

  • Co-supervisor for Medical Engineering students
  • Number of students supervised: 7
  • Skills acquired: Presenting topics to students, using platforms for remote interaction

🌐 Language Skills

Italian

  • Mother Tongue

English

  • Listening: C1
  • Reading: C1
  • Writing: C1
  • Spoken Interaction: C1
  • Spoken Production: C1

💻 Digital Competences

  • Information and Data Literacy: Independent user
  • Communication and Collaboration: Independent user
  • Digital Content Creation: Basic user
  • Safety: Basic user
  • Problem-Solving: Independent user

🌍Office Automation:

  • Office Suite: Advanced
  • Presentation Software: Advanced
  • Spreadsheets: Intermediate
  • Web Browser: Intermediate
  • Word Processors: Advanced

📱Computer Programming:

  • LaTeX: Intermediate
  • C++: Advanced
  • MATLAB: Advanced
  • Python: Intermediate

🔬Systems and Networks Management:

  • Network Architecture: Advanced
  • Operating Systems: Highly Specialized
  • Linux: Intermediate

🚗 Driving Licence

  • Category B

🏅 Additional Certifications

  • Corso Art.37: Lupi Estintori SRL, 2020-10-25
  • Corso di Primo Soccorso: Lupi Estintori SRL, 2020

🎓 Relevant Courses

  • English for Research Publication and Presentation Purposes: University of Pisa, 2023 (C1 Level)

 

📊🔬Notable Publication:

 

  • Diabetic Retinopathy Detection and Diagnosis by Means of Robust and Explainable Convolutional Neural Networks
    • Authors: Mercaldo, F., Di Giammarco, M., Apicella, A., Martinelli, F., Santone, A.
    • Journal: Neural Computing and Applications
    • Year: 2023

 

  • Explainable Deep Learning for Alzheimer Disease Classification and Localisation
    • Authors: Di Giammarco, M., Iadarola, G., Martinelli, F., Ravelli, F., Santone, A.
    • Journal: Communications in Computer and Information Science
    • Year: 2022

 

  • High Grade Brain Cancer Segmentation by Means of Deep Learning
    • Authors: Di Giammarco, M., Martinelli, F., Mercaldo, F., Santone, A.
    • Journal: Procedia Computer Science
    • Year: 2022

 

  • Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification
    • Authors: Cesarelli, M., Di Giammarco, M., Iadarola, G., Mercaldo, F., Santone, A.
    • Journal: Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022
    • Year: 2022

 

  • Explainable Deep Learning Methodologies for Biomedical Images Classification
    • Authors: Di Giammarco, M., Mercaldo, F., Martinelli, F., Santone, A.
    • Journal: Proceedings - International Conference on Distributed Computing Systems, 2022
    • Year: 2022