Dean Assiatant, Huaiyin Institute of Technology, China
Dr. Jianchu Lin, an IEEE member (No. 99586082), CCF member (No. 38830M), and CSIG member (No. E653227581M), is currently Dean Assistant in the Faculty of Computer and Software Engineering at Huaiyin Institute of Technology (HYIT), where he joined in 2020 after graduating from the University of Chinese Academy of Sciences in 2019. His expertise lies in 3D Computer Graphics, Vision, Intelligent Systems, and Artificial Intelligence. Dr. Lin has led and participated in over ten significant projects funded by NSFCs, provinces, and industry and has published more than 20 SCI and EI papers. He also serves as a reviewer for journals like IJAEOG, IEEE TGRS, and TITS, and holds roles such as Editor of IEEE ICCD 2024 and TPC member of IEEE GCAIoT 2024.
PROFILE
Orcid
Scopus
STRENGTHS FOR THE AWARD
- Academic Credentials and Professional Memberships
- Holds advanced degrees (Master’s and Ph.D.) from the Institute of Semiconductors, demonstrating strong academic foundations.
- Member of prestigious professional organizations such as IEEE, CCF, and CSIG.
- Leadership and Academic Roles
- Currently serving as Dean Assistant at the Faculty of Computer and Software Engineering, Huaiyin Institute of Technology (HYIT), reflecting a leadership role in academic administration.
- Research and Publications
- Significant contributions to research in 3D Computer Graphics and Vision, Intelligence Systems, and Artificial Intelligence.
- Authored over 20 SCI and EI-indexed papers, covering diverse topics like deep learning, pose estimation, pedestrian detection, and near-infrared spectroscopy.
- Active in interdisciplinary applications of technology, such as image processing for cancer detection and human pose estimation for robotics.
- Projects and Funding
- Has led and participated in more than 10 projects funded by NSFCs, provinces, and industry, showcasing the ability to secure and manage research grants.
- Editorial and Reviewer Roles
- Serves as an editor for IEEE ICCD 2024 and as a reviewer for reputed journals such as IJAEOG, IEEE TGRS, and TITS.
- Technical Expertise and Innovation
- Demonstrates expertise in cutting-edge technologies like machine learning, image processing, and near-infrared technology.
- Research includes impactful applications in robotics, agriculture, and healthcare.
AREAS FOR IMPROVEMENTS
- Broader Recognition
- While well-published, increasing citations and global recognition through keynote addresses or collaborations with international institutions could further strengthen his profile.
- Focused Specialization
- His research spans multiple fields. Narrowing focus on one or two key areas could enhance impact and establish dominance in a specific domain.
- Outreach and Societal Impact
- Highlighting direct societal benefits of his research, especially in areas like healthcare and environmental sustainability, can bolster his case for awards emphasizing global impact.
- Leadership Roles Beyond Academia
- Expanding influence through leadership in professional organizations (e.g., chairing IEEE conferences) would complement his academic credentials.
EDUCATION
🎓 Ph.D. – Institute of Semiconductors, Beijing, China (2015-Present)
- Specialized in high-speed circuits and neural networks.
🎓 Master’s Degree – Institute of Semiconductors, Beijing, China (2011-2014)
- Conducted advanced research in high-speed circuits and neural networks.
EXPERIENCE
💼 Dean Assistant – Huaiyin Institute of Technology, China (2020-Present)
- Leads initiatives in computer and software engineering, focusing on innovative technologies.
💼 Machine Learning Engineer – Beijing Wavegroup Security Technology (2014-2015)
- Specialized in Image Processing and Machine Learning solutions.
AWARDS AND HONORS
🏅 IEEE ICCD 2024 Editor Appointment
🏆 TPC Member of IEEE GCAIoT 2024
🎖 Reviewer Roles: IJAEOG, IEEE TGRS, TITS
💡 Significant recognition for contributions to NSFC and provincial projects.
RESEARCH FOCUS
📌 Key Areas:
- 3D Computer Graphics and Vision
- Artificial Intelligence and Intelligent Systems
- Image Processing and Machine Learning
- Near-Infrared Technology
PUBLICATION TOP NOTES
📖 A deep learning ICDNET architecture for efficient classification of histopathological cancer cells using Gaussian noise images
📖 Model transfer from 2D to 3D study for boxing pose estimation
📖 Overview of 3D Human Pose Estimation
📖 Pedestrian Detection Method Based on Two-Stage Fusion of Visible Light Image and Thermal Infrared Image
📖 Cleaning Uncertain Time Series Based on Random Walk Sampling
📖 Human Pose Estimation for Boxing Based on Model Transfer Learning
📖 Research on Topological Deformation of 3D Human Image Based on Laplace Optimization
📖 A fast humanoid robot arm for boxing based on servo motors
📖 A feature domain space transfer method for improving identification of maize haploid seed based on near-infrared spectroscopy
📖 A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity
📖 Method for Identifying Maize Haploid Seeds by Applying Diffuse Transmission Near-Infrared
CONCLUSION
Dr. Jianchu Lin demonstrates exceptional qualifications and achievements in research, leadership, and technical expertise, making him a strong candidate for the Best Researcher Award. His significant contributions to artificial intelligence, image processing, and interdisciplinary applications underscore his innovative approach and commitment to advancing technology. Addressing areas of improvement, such as enhancing global visibility and societal outreach, would further solidify his standing as a frontrunner for this accolade.