Dr. Zhiwei Zhang | Deep Learning Awards | Best Researcher Award

Posted on 12/07/202514/07/2025 by ScienceFather

Dr. Zhiwei Zhang | Deep Learning Awards | Best Researcher Award

Dr. Zhiwei Zhang, AVIC Manufacturing Technology Institute, China

Zhiwei Zhang, is a research engineer specializing in aviation manufacturing technology in China. He holds a bachelor’s and master’s degree in Automation from Shenyang Ligong University and earned his Ph.D. in Instrument Science and Technology from Yanshan University. His research focuses on digital radiographic and industrial CT nondestructive testing, computer vision, and ensemble learning algorithms for additive manufacturing. He has published seven SCI-indexed research papers and holds two authorized patents. Zhiwei Zhang also serves as a reviewer for the Journal of Computational Methods in Sciences and Engineering, reflecting his active contribution to the academic and industrial research community.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Zhiwei Zhang

Zhiwei Zhang, a highly skilled research engineer in aviation manufacturing technology, has demonstrated outstanding contributions in the fields of nondestructive testing, computer vision, and ensemble learning for additive manufacturing. His innovative research integrates cutting-edge technologies like digital radiography, industrial CT, and machine learning, addressing critical challenges in the aerospace industry.

🎓 Education

🏫 Bachelor’s Degree in Automation – Shenyang Ligong University
🎓 Master’s Degree in Automation – Shenyang Ligong University
🧪 Ph.D. in Instrument Science and Technology – Yanshan University

💼 Work Experience

👨‍🔧 Research Engineer – Specializing in aviation manufacturing technology in China
🔬 Focus areas include:
- Digital radiographic and industrial CT nondestructive testing
- Computer vision
- Ensemble learning algorithms for additive manufacturing

🏆 Achievements

📄 Published 7 SCI-indexed research papers in high-impact journals
🧾 Granted 2 authorized patents
🧑‍⚖️ Reviewer for the Journal of Computational Methods in Sciences and Engineering

🎖️ Awards & Honors

🏅 Recognized for contributions in nondestructive testing and AI applications in manufacturing
(Note: Specific award titles not mentioned; can be added if provided.)

Publication Top Notes:

A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction

Complex Defects Detection of 3-D-Printed Lattice Structures: Accuracy and Scale Improvement in YOLO V7

A Prediction Model for Maximum Stress of Additive Manufacturing Lattice Structures Based on Voting-Cascading

Deep convolution IT2 fuzzy system with adaptive variable selection method for ultra-short-term wind speed prediction

An improved meta heuristic IT2 fuzzy model for nondestructive failure evaluation of metal additive manufacturing lattice structure

An improved stacking ensemble learning model for predicting the effect of lattice structure defects on yield stress

Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures

Adaptive Defect Detection for 3-D Printed Lattice Structures Based on Improved Faster R-CNN

A Hybrid Model Based on Jensen’s Inequality Theory for 3D Printed Lattice Structures Maximum Stress Prediction

Mr. Fangzhou Lin | Deep Learning | Best Scholar Award

Posted on 10/02/2025 by ScienceFather

Mr. Fangzhou Lin | Deep Learning | Best Scholar Award

Mr. Fangzhou Lin, Hong Kong University of Science and Technology, Hong Kong

Fangzhou Lin is a Ph.D. researcher in Civil Engineering at the Hong Kong University of Science and Technology (HKUST), specializing in deep learning, machine vision, construction robots, and multimodal data fusion. He holds a Bachelor’s degree in Civil Engineering from Fuzhou University (2015-2019) and a Master’s degree in Structural Engineering from Southeast University (2019-2022). Fangzhou Lin’s research focuses on the integration of artificial intelligence and robotics in construction automation, with applications in fire safety inspection, resource management, visual measurement, and quality assessment. His work has been published in leading journals such as Automation in Construction, Computer-Aided Civil and Infrastructure Engineering, and Advanced Engineering Informatics. He has contributed to multiple cutting-edge studies on robotic systems for construction site management, vision-based measurement techniques, and reinforcement learning-based scheduling for electric concrete vehicles. As an emerging scholar in construction automation and AI-driven inspection technologies, Fangzhou Lin actively collaborates on multi-disciplinary research projects to enhance efficiency, safety, and sustainability in the built environment. His contributions to automated reality capture, rebar positioning, and construction robotics are shaping the future of intelligent construction and infrastructure development.

Professional Profile:

SCOPUS

Suitability of Fangzhou Lin for the Best Scholar Award

Fangzhou Lin is an outstanding early-career scholar with a strong background in deep learning, machine vision, construction robotics, and multimodal data fusion within the field of civil engineering. His academic trajectory, research productivity, and innovative contributions make him a compelling candidate for the Best Scholar Award. Below is a detailed assessment of his suitability based on key criteria.

🎓 Education

2015.09 – 2019.06 | Fuzhou University – Bachelor’s Degree in Civil Engineering
2019.09 – 2022.06 | Southeast University – Master’s Degree in Structural Engineering
2022.09 – Present | Hong Kong University of Science and Technology – Ph.D. in Civil Engineering

🏗️ Work & Research Experience

Expertise in: Deep learning, machine vision, construction robots, multimodal data fusion
Published in top journals such as Automation in Construction and Computer-Aided Civil and Infrastructure Engineering
Conducting research on:
- 🔥 Fire Safety Inspection using AI-driven visual inspection
- 🤖 Robotics for Construction Management with multi-task planning and automatic grasping
- 🏗️ BIM-integrated Reality Capture for indoor inspection using multi-sensor quadruped robots
- 🎯 Vision-based Monitoring for assembly alignment of precast concrete bridge members

🏆 Achievements & Awards

Published multiple high-impact journal papers 📚
Lead researcher on innovative construction technology projects 🔍
Contributed to advanced AI-driven automation for civil engineering 🤖
Research works under review in prestigious engineering journals 🏅
Collaborated with leading experts in civil engineering and robotics 🤝

Publication Top Notes:

Efficient visual inspection of fire safety equipment in buildings

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Posted on 09/12/2024 by ScienceFather

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
2021: Health Services Management Certificate
2016: Ph.D. in Medical Sciences, Ophthalmology
2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

Romanian Society of Ophthalmology (2006-present)
European Society of Retina Specialists (2011-present)
European Society of Ophthalmology (2011-present)