Entry Information

Make Decision

Selected

Applicant No

25B0031

Reviewer 1

Claudia Mauri - Life Science and Medicine

Reviewer 2

SH Cheng - Life Science and Medicine

Score

26

Score

38

Average Score

32

PART 1: PERSONAL PARTICULARS

Name

Han Wang

Title

Dr

Gender

Male

Recent Photo

Recent Photo

Date of Birth

08/03/1994

Place of Birth

China

Type of Identity Document Held

Hong Kong Identity Card

HKID / Passport Number

F6279

Nationality

Chinese

PART 2: CONTACT INFORMATION

Email Address

Email hidden; Javascript is required.

Contact Phone Number

+85259132961

Address

Department of Biomedical Engineering, City University of Hong Kong 83 Tat Chee Ave
Kowloon Tong
Hong Kong

PART 3: FORUM INTEREST

First Discipline to be Joined

Life Science and Medicine

Second Discipline to be Joined

Life Science and Medicine

Statement of Purpose to Join the Forum (max. 200 words)

I am writing to express my interest in joining the forum, an esteemed platform that brings together leading researchers and innovators in the field of advanced delivery systems, cell therapy, and related areas. My research focuses on cryomicroneedle for transdermal cell delivery. This innovative approach has shown promising results in enhancing antigen-specific immune responses and delaying tumor progression in preclinical models.
By joining this forum, I aim to:
1. Share Research Insights: Present my findings on cryomicroneedle technology and its potential for revolutionizing cell therapy delivery.
2. Engage with the Community: Collaborate with experts and peers to gain insights into cutting-edge advancements and challenges in the field.
3. Foster Collaboration: Explore opportunities for interdisciplinary partnerships to address limitations in current cryomicroneedle manufacturing, such as temperature sensitivity issues.
4. Stay Updated on Trends: Participate in discussions and workshops to stay informed about the latest developments in cell therapy delivery systems.
I am particularly drawn to the forum because of its focus on fostering innovation and collaboration in this rapidly evolving field. I believe that my expertise in cryomicroneedle technology, combined with the collective knowledge of forum members, can contribute to overcoming existing technical barriers and advancing clinical applications of cell therapies.

PART 4: ACADEMIC AND/OR RESEARCH INFORMATION

Academic Level / Position

Postdoc

Academic Subject / Research Field

Biomedical Engineering

Current Affiliated University / Institution / Organisation

The Chinese University of Hong Kong

Location

Department of Biomedical Engineering


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If your letter or document is not in English, please upload a translated version underneath.

Recommendation 2

University of Nottingham

Recommendation Letter 2

UoN_Letter_Wang.pdf

First Academic or Research Referee *

First Referee Name

Prof. Chenjie Xu

First Referee University

City University of Hong Kong

First Referee Position

Associate Dean, College of Biomedicine

First Referee Email Address

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Second Academic or Research Referee

Award(s) and/or Scientific Accomplishment(s) (if any) (max. 100 words)

Postdoctoral Researcher at City University of Hong Kong with an h-index of 8 and 420+ citations. Published multiple high-impact SCI papers (IF up to 9.8), including a Highly Cited Paper. Developed innovative 3D printing systems, improving energy efficiency by 15%. Awarded the International Student Scholarship (University of Nottingham) and Notable Speaker Award at an international 3D printing conference. Certified in Generative AI by AWS. Led/contributed to 3 NSFC-funded projects, resulting in 10+ publications. Expertise spans smart manufacturing, sustainability, and medical device innovation.

Publication List (if any)

Han-Wang_Publication-List.pdf

Abstract of Research / Brief Description of Your Current Research Interest (max. 200 words)

Dr. Han Wang specializes in advanced manufacturing technologies with a focus on 3D printing/additive manufacturing, smart manufacturing systems, and sustainable production optimization. His research integrates AI-driven process planning, energy-efficient fabrication, and digital twin applications to enhance industrial sustainability.

Key areas include:

Medical device innovation: Microneedle fabrication and robotic biomedical systems

Environmental sustainability: Energy/emission reduction in polymer laser powder bed fusion (15% efficiency improvement demonstrated)

Smart production: Machine learning for build failure prediction and spatial optimization in additive manufacturing

Circular manufacturing: Remanufacturing theories for electromechanical equipment lifecycle management

His interdisciplinary approach combines experimental validation (3D printing systems, servo controls) with computational methods (MATLAB/Python simulations, ANSYS analyses) to bridge academic research with industrial applications. Recent work extends to generative AI applications in manufacturing process design.

(Supported by 7+ SCI publications including a Highly Cited Paper in Journal of Cleaner Production [IF:9.8])

Would you like to present your Research in Poster Presentation Session and/or Flash Presentation?

Flash Presentation Session