Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Dr. Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Lecturer | Nanjing Forestry University | China

Hui Zhang is a Lecturer at Nanjing Forestry University and a researcher specializing in soft robotics, with expertise in flexible materials, biomimetic structures, and intelligent robotic systems. He holds advanced academic degrees with specialization in robotics and interdisciplinary engineering. His professional experience includes serving as principal investigator on nationally funded research projects, leading innovative research initiatives, teaching robotics-related courses, and supervising graduate students while integrating research with education. His research focuses on soft robotic actuation, flexible drive mechanisms, and intelligent sensing, resulting in extensive publications, books, and patented technologies that advance robotic performance and adaptability. His contributions are recognized through competitive research grants, editorial appointments, international conference collaborations, and professional memberships in leading engineering societies. His scholarly impact is reflected by 45 publications, 449 citations, and an h-index of 11.

Citation Metrics (Scopus)

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View Scopus Profile View ORCID Profile

Featured Publications

Free fatty acids as a marker for predicting periprocedural myocardial injury after coronary intervention
Yu Wang, Hui-Wen Zhang, Yuan-Lin Guo, Cheng-Gang Zhu, Na-Qiong Wu, Jian-Jun Li
Journal Article · Cardiology · 2019

Clinical evaluation of prostate cancer gene 3 score in diagnosis among Chinese men with prostate cancer and benign prostatic hyperplasia
Jin Huang, Hui-Zhen Zhang, Hai-Bo Wang, Kathleen H. Reilly
Journal Article · Oncology · 2015

Prevalence of Liddle Syndrome Among Young Hypertension Patients of Undetermined Cause in a Chinese Population
Lin-Ping Wang, Kun-Qi Yang, Xiong-Jing Jiang, Hai-Ying Wu, Hui-Min Zhang, Yu-Bao Zou, Lei Song, Jin Bian, Ru-Tai Hui, Ya-Xin Liu, Xian-Liang Zhou
Journal Article · Cardiology / Genetics · 2015

Transforming growth factor-β1 induces epithelial-to-mesenchymal transition in human lung cancer cells via PI3K/Akt and MEK/Erk1/2 signaling pathways
Xiao-Feng Chen, Hui-Jun Zhang, Hai-Bing Wang, Jun Zhu, Wen-Yong Zhou, Hui Zhang, Ming-Chuan Zhao, Jin-Mei Su, Wen Gao, Lei Zhang, Ke Fei, Hong-Tao Zhang, He-Yong Wang
Molecular Biology Reports · Oncology / Molecular Biology · 2012

Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Dr. Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Lecturer Assistant | Damietta University | Egypt

Dr. Hadeer Abdo Mohamed Abdellatif Helaly is an Assistant Lecturer at the Faculty of Engineering, Damietta University, with expertise in computer and control systems engineering, artificial intelligence, and deep learning for healthcare applications. She earned her Bachelor’s, Master’s, and doctoral training from the Faculty of Engineering, Mansoura University, specializing in computer and control systems engineering, with advanced research concentration in deep learning, medical image analysis, and disease detection. Her professional experience spans academic teaching, supervision of undergraduate projects, research assistance, and industry exposure as an open-source web developer, alongside active participation in international research training and collaborative projects in machine learning, speech analysis, and medical diagnostics. Her scholarly impact is evidenced by a Scopus profile comprising 5 documents, 354 citations, and an h-index of 3.

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View  Scopus Profile View  ORCID Profile

Featured Publications

Early Breast Cancer Detection, Affected Cell Classification, and Segmentation Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Engineering Applications of Artificial Intelligence

ELCD-NSC2: A Novel Early Lung Cancer Detection and Non-Small Cell Classification Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Neural Computing and Applications

A Review of Deep Learning Approaches in Clinical and Healthcare Systems Based on Medical Image Analysis
H. A. Helaly, M. Badawy, A. Y. Haikal – Multimedia Tools and Applications

Deep Learning Approach for Early Detection of Alzheimer’s Disease
H. A. Helaly, M. Badawy, A. Y. Haikal – Cognitive Computation

Toward Deep MRI Segmentation for Alzheimer’s Disease Detection
H. A. Helaly, M. Badawy, A. Y. Haikal – Neural Computing and Applications