Dr Shu Zhu | Microfluidics | Best Researcher Award

Dr Shu Zhu | Microfluidics | Best Researcher Award

Lecturer , Nanjing Normal University , Chinaย 

Shu Zhu ๐Ÿ‘จโ€๐Ÿ”ฌ is a dedicated Lecturer at Nanjing Normal University ๐Ÿ“, serving in the School of Electrical and Automation Engineering and the Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing ๐Ÿซ. He earned his Ph.D. in Mechanical Engineering from Southeast University ๐ŸŽ“ in 2024. His work focuses on microfluidics, impedance cytometry, and point-of-care testing (POCT) devices ๐Ÿงช. With 19 publications in prestigious journals like Lab on a Chip and Analytica Chimica Acta, he is known for innovative tools like CytoExam, a deep learning-powered liquid biopsy device. ๐Ÿงฌ๐Ÿ’ก

Professional Profile

ORCID

Education & Experienceย 

Shu Zhu completed his Ph.D. in Mechanical Engineering from Southeast University (SEU) ๐ŸŽ“ in 2024, where he explored cutting-edge technologies in microfluidic systems ๐Ÿ’ง and cell analysis. He is currently a Lecturer ๐Ÿ‘จโ€๐Ÿซ at Nanjing Normal University, contributing to both teaching and high-impact research at the Jiangsu Key Laboratory of 3D Printing Equipment ๐Ÿ–จ๏ธ. His academic journey is marked by rigorous exploration into impedance cytometry and microdevices for biomedical applications ๐Ÿงซ. With 530+ citations ๐Ÿ“ˆ and 19 research papers, his experience bridges advanced research and practical healthcare solutions. ๐Ÿง ๐Ÿ”ฌ

Professional Developmentย 

Dr. Shu Zhu is an emerging expert in biomedical microdevices ๐Ÿ”. He has been actively involved in major national projects like the National Natural Science Foundation of China and the Jiangsu Key R&D Program ๐Ÿ‡จ๐Ÿ‡ณ. With 10 patents ๐Ÿ“ under his name, his professional growth has been fueled by innovation and problem-solving. He developed CytoExam, an AI-integrated diagnostic tool for CTC detection ๐Ÿค–๐Ÿงฌ. Though early in his career, his professional track reflects rapid growth ๐Ÿ“Š, meaningful impact, and a strong foundation for future leadership in microfluidic healthcare technologies ๐Ÿš€.

Research Focus

Shu Zhuโ€™s research ๐Ÿ” focuses on microfluidics, particularly inertial microfluidics, impedance cytometry, and POCT (point-of-care testing) devices ๐Ÿงช. His innovations include CytoExam ๐Ÿงฌ, a deep learning-enabled liquid biopsy system for identifying circulating tumor cells (CTCs), reflecting his commitment to merging bioengineering with clinical diagnostics ๐Ÿ’ป๐Ÿงซ. He also works on micromixing, cell deformability analysis, and dielectric characterization of cells ๐Ÿ”‹. His research bridges multiple domainsโ€”mechanical engineering, biomedical diagnostics, and artificial intelligenceโ€”making significant contributions toward fast, accurate, and accessible healthcare technologies โฑ๏ธ๐Ÿฅ.

Awards & Honorsย 

While formal awards may still be in progress, Shu Zhuโ€™s achievements speak volumes ๐ŸŒŸ. With 19 published SCI/EI papers ๐Ÿ“ฐ and 10 patents pending or granted ๐Ÿ”–, his work is highly recognized in academic circles. His projects have received national-level funding from the NSFC and Jiangsu R&D initiatives ๐Ÿ‡จ๐Ÿ‡ณ, reflecting strong institutional trust and impact. His citation index of over 530 ๐Ÿ“Š showcases the value and reach of his contributions to microfluidics and biomedical diagnostics ๐Ÿ”ฌ. As a rising innovator, he is a strong candidate for accolades such as the Best Researcher Award ๐Ÿฅ‡.

Publication Top Notes

1. Comprehensive Analysis of Shear Deformation Cytometry Based on Numerical Simulation Method

Journal: Biosensors (2025-06)
DOI: 10.3390/bios15060389
Contributors: Jun Wang, Jiahe Chen, Wenlai Tang, Shu Zhu
๐Ÿ”Ž Summary:
This study employs numerical simulations to enhance understanding of shear deformation cytometry, enabling more precise mechanical characterization of cells in microfluidic systems.

2. Multiparameter Mechanical Phenotyping for Accurate Cell Identification Using High-Throughput Microfluidic Deformability Cytometry

Journal: Analytical Chemistry (2024-06-25)
DOI: 10.1021/acs.analchem.4c01175
Contributors: Zheng Zhou, Kefan Guo, Shu Zhu, Chen Ni, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
Presents a novel high-throughput deformability cytometry system integrating multiple mechanical properties for improved label-free cell classification.

3. Liquid Biopsy Instrument for Ultra-Fast and Label-Free Detection of Circulating Tumor Cells

Journal: Research (2024-01)
DOI: 10.34133/research.0431
Contributors: Shu Zhu et al.
๐Ÿ”Ž Summary:
Describes a breakthrough microfluidic instrument that enables rapid, label-free detection of CTCs using AI-based analysis, enhancing cancer diagnostics.

4. Nextโ€Generation Liquid Biopsy Instruments: Challenges and Opportunities

Journal: ELECTROPHORESIS (2023-05)
DOI: 10.1002/elps.202200169
Contributors: Shu Zhu, Yaohui Fang, Kefan Guo, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
Outlines key technical obstacles and future directions in the development of liquid biopsy devices for precision oncology.

5. Microfluidic Deformability Cytometry: A Review

Journal: Talanta (2023-01)
DOI: 10.1016/j.talanta.2022.123815
Contributors: Yao Chen, Kefan Guo, Lin Jiang, Shu Zhu, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
A detailed overview of techniques and innovations in deformability cytometry via microfluidics, aimed at biomedical research applications.

6. Efficient Bioparticle Extraction Using a Miniaturized Inertial Microfluidic Centrifuge

Journal: Lab on a Chip (2022)
DOI: 10.1039/d2lc00496h
Contributors: Yaohui Fang, Shu Zhu, Weiqi Cheng, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
Demonstrates a compact device capable of high-efficiency bioparticle separation for use in portable medical diagnostics.

7. A Novel 3D Tesla Valve Micromixer for Efficient Mixing and Chitosan Nanoparticle Production

Journal: ELECTROPHORESIS (2022-11)
DOI: 10.1002/elps.202200077
Contributors: Kefan Guo, Yao Chen, Zheng Zhou, Shu Zhu, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
Introduces a Tesla-inspired micromixer that enhances fluid mixing and supports biomedical nanoparticle synthesis applications.

8. An Ultra-Thin Silicon Nitride Membrane for Label-Free CTCs Isolation from Whole Blood with Low WBC Residue

Journal: Separation and Purification Technology (2022-09)
DOI: 10.1016/j.seppur.2022.121349
Contributors: Yunlin Quan, Zhixian Zhu, Dezhi Tang, Shu Zhu, et al.
๐Ÿ”Ž Summary:
Highlights the efficiency of an ultra-thin membrane for clean, label-free isolation of cancer cells from blood samples.

9. Label-Free Microfluidics for Single-Cell Analysis

Journal: Microchemical Journal (2022-06)
DOI: 10.1016/j.microc.2022.107284
Contributors: Yao Chen, Zheng Zhou, Shu Zhu, Zhonghua Ni, Nan Xiang
๐Ÿ”Ž Summary:
Explores microfluidic systems enabling individual cell profiling without the need for external labels or markers.

10. Stackable Micromixer with Modular Design for Efficient Mixing Over Wide Reynold Numbers

Journal: International Journal of Heat and Mass Transfer (2022-02)
DOI: 10.1016/j.ijheatmasstransfer.2021.122129
Contributors: Shu Zhu, Yaohui Fang, Yao Chen, et al.
๐Ÿ”Ž Summary:
Introduces a modular mixing solution that adapts to a wide range of flow conditions, optimizing reactions in microfluidic settings.

11. Inertial Microfluidics for High-Throughput Cell Analysis and Detection: A Review

Journal: The Analyst (2021)
DOI: 10.1039/d1an00983d
Contributors: Zheng Zhou, Yao Chen, Shu Zhu, Linbo Liu, et al.
๐Ÿ”Ž Summary:
Reviews the mechanisms and biomedical relevance of using inertial microfluidics for rapid and scalable cellular diagnostics.

12. Microfluidic Impedance Cytometry for Single-Cell Sensing: Review on Electrode Configurations

Journal: Talanta (2021-10)
DOI: 10.1016/j.talanta.2021.122571
Contributors: Shu Zhu, Xiaozhe Zhang, Zheng Zhou, et al.
๐Ÿ”Ž Summary:
Analyzes various electrode setups for impedance cytometry, detailing how they influence single-cell electrical measurements.

13. An Easy-Fabricated and Disposable Polymer-Film Microfluidic Impedance Cytometer for Cell Sensing

Journal: Analytica Chimica Acta (2021-08)
DOI: 10.1016/j.aca.2021.338759
Contributors: Shu Zhu, Xiaozhe Zhang, Mu Chen, et al.
๐Ÿ”Ž Summary:
Describes the development of a low-cost, disposable cytometer fabricated from polymer film, optimized for practical biomedical testing.

Conclusion

Dr. Shu Zhu demonstrates exceptional credentials for the Best Researcher Award, blending cutting-edge scientific research with real-world medical impact. His inventions like CytoExam and advancements in label-free CTC detection via microfluidic platforms highlight his strong contribution to biomedical engineering and diagnostic technology. His publication quality, patent portfolio, and dedicated focus on translational healthcare innovations place him among top contenders in his field.

Dr. Nehal Atallah | Pathology | Best Researcher Award

Dr. Nehal Atallah | Pathology | Best Researcher Awardย 

Dr. Nehal Atallah, Nottiigham University hospitals, United Kingdom

Nehal Mohammed Nabil Atallah is a dedicated histopathologist with a strong background in digital pathology, artificial intelligence, cytology, molecular biology, and cancer research. She earned her Bachelor of Medicine and Surgery (MBBCH) with honors from Menoufia University, Egypt, in 2012, followed by a Masterโ€™s degree in Histopathology in 2018. Nehal has extensive experience in pathology education and diagnosis, having served as a Demonstrator and later as an Assistant Lecturer at Menoufia University. Currently, she is pursuing her PhD at the University of Nottingham, focusing on the role of digital pathology and AI in improving breast cancer diagnosis and prognosis. She has actively contributed to the field through research, conference presentations, and memberships in prestigious pathology societies.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Nehal Mohammed Nabil Atallah is a highly accomplished researcher in histopathology, digital pathology, and artificial intelligence, with a strong focus on cancer research. Her extensive academic background, including a PhD at the University of Nottingham, multiple prestigious conference presentations, and published research in high-impact journals, highlights her significant contributions to the field. With expertise in molecular diagnostics, bioinformatics, and digital pathology applications, she has made innovative strides in breast cancer prognosis and treatment prediction. Her dedication, research impact, and active engagement in pathology communities make her a strong candidate for the Best Researcher Award.

๐ŸŽ“ Education

  • Bachelor of Medicine and Bachelor of Surgery (MBBCH) โ€“ Faculty of Medicine, Menoufia University, Egypt (Nov 2012) ๐Ÿฅโœจ Graduated with Excellent with Honors
  • Masterโ€™s Degree in Histopathology โ€“ Faculty of Medicine, Menoufia University, Egypt (Nov 2018) ๐Ÿงฌ๐Ÿ”ฌ Thesis: The potential diagnostic role of Trophoblastic Cell Surface Antigen (TROP-2) in papillary thyroid carcinoma
  • PhD in Histopathology โ€“ University of Nottingham & Nottingham University Hospitals NHS Trust, UK (2020 โ€“ Present) ๐ŸŽ“๐Ÿ“Š Focus: Digital Pathology & AI in breast cancer diagnosis & prognosis

๐Ÿ’ผ Work Experience

  • Demonstrator (Teaching Assistant) of Pathology โ€“ Faculty of Medicine, Menoufia University, Egypt (2014โ€“2018) ๐ŸŽ“๐Ÿ“š Taught practical pathology & assisted in specimen diagnosis
  • Assistant Lecturer of Pathology โ€“ Faculty of Medicine, Menoufia University, Egypt (2018โ€“2020) ๐Ÿฅ๐Ÿ” Conducted tutorials, TBL sessions & assisted in diagnoses
  • Full-time PhD Student โ€“ University of Nottingham & Nottingham University Hospitals NHS Trust, UK (2020 โ€“ Present) ๐Ÿค–๐Ÿฉธ Researching AI & Digital Pathology in breast cancer

๐Ÿ† Achievements & Honors

  • Published multiple poster & oral presentations at international pathology & breast cancer conferences ๐Ÿ“œ๐ŸŽค
  • Oral Presentation at the British Division of the International Academy of Pathology & Pathological Society of GB & Ireland (Liverpool 2023) ๐ŸŽ™๏ธ๐Ÿ…
  • Multiple conference contributions at Manchester, Edinburgh, and Nottingham Breast Cancer Conferences ๐Ÿฅ๐Ÿ“ข
  • Abstract submissions to European Breast Cancer Conference & UK pathology conferences ๐Ÿ“๐Ÿ”ฌ

๐ŸŽ–๏ธ Memberships & Professional Affiliations

  • Egyptian Society of Pathologists ๐Ÿ‡ช๐Ÿ‡ฌ
  • Pathological Society of Medicine, UK ๐Ÿ‡ฌ๐Ÿ‡ง
  • Association of Breast Pathology, UK ๐ŸŽ—๏ธ
  • Breast Pathology Research Group, Nottingham University ๐Ÿฅ๐Ÿ”ฌ
  • Nottingham Breast Cancer Research Centre ๐Ÿงฌ๐Ÿ’ก

Publicationย Top Notes:

Prediction of response to anti-HER2 therapy using a multigene assay

 

P026: Prediction of response to anti-HER2 therapy using multigene assay

 

Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence

 

Deciphering the Role of ASPM in Breast Cancer: A Comprehensive Multicohort Study

 

Gene regulated by oestrogen in breast cancer 1 (GREB1) as a surrogate oestrogen receptor biomarker