Han He | Computer Aided Machine Design | Young Researcher Award

Ms. Han He | Computer Aided Machine Design | Young Researcher Award

Chinese Academy of Sciences Xinjiang Lihua Institute of Technology | China

He Han is a dedicated peptide researcher with extensive expertise in peptide synthesis, purification, and structure-activity relationship analysis. Skilled in applying advanced modeling techniques such as response surface methodology (RSM) and artificial neural networks (ANN) to optimize processes and predict critical parameters, He integrates computational and experimental strategies to advance peptide-based drug discovery. His proficiency extends to network pharmacology, multi-spectroscopy, molecular docking, and molecular dynamics simulations, reflecting a strong interdisciplinary research profile.

Profile Verification

Orcid

Education Details 

He Han pursued undergraduate studies in Chinese Traditional Medicine at China Pharmaceutical University, where he gained a solid foundation in advanced mathematics, basic theories of traditional Chinese medicine, pharmacology, analytical chemistry, and medicinal botany. He is currently continuing postgraduate studies in Medicinal Chemistry at the University of Chinese Academy of Sciences, focusing on peptide synthesis, separation and purification, molecular docking, western blotting, cell culture, bacterial fermentation, literature review, and scientific writing.

Professional Experience

He Han has gained valuable academic and professional exposure through multiple roles. As an academic exchange scholar at the Macau University of Science and Technology, he focused on integrating modern pharmaceutical technologies with traditional herbal remedies while enriching cross-cultural collaboration. His international volunteer experience in Malaysia involved designing a structured curriculum for Chinese language instruction and mentoring orphaned children, enhancing his interpersonal and cultural adaptability. In addition, his leadership as Vice President of the Student Union at UCAS enabled him to develop strong project management, negotiation, and teamwork skills while organizing events and advocating student initiatives.

Research Interests

He Han’s research interests lie in the valorization of natural resources for bioactive peptide discovery, with a focus on functional and hypoglycemic peptides. His published work on camel milk residue highlights his use of RSM and ANN modeling approaches to optimize peptide production. He is particularly interested in combining experimental methods with computational modeling to explore structure-activity relationships and accelerate drug discovery.

Awards and Honors

He Han has received recognition for his academic excellence, leadership, and contributions to student development. His honors include the Merit Student Award, Outstanding Leader Award, and Outstanding Communist Youth League Member Award, reflecting both his scholarly achievements and strong leadership qualities.

Publication Top Notes

Valorization of Camel Milk Residue (CMR) into Hypoglycemic Peptides: An RSM-ANN Modeling Approach.

Conclusion

A unique combination of expertise in peptide research, computational modeling, and traditional medicine, supported by international exposure and leadership experience, He Han is well-positioned to contribute significantly to peptide-based drug discovery and interdisciplinary pharmaceutical research.

 

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Mr . Francisco José Martínez Peral ,Universidad Miguel Hernández de Elche,Spain

Mr. Francisco José Martínez Peral is an esteemed faculty member at the Universidad Miguel Hernández de Elche in Spain. With a strong academic background and extensive experience in his field, Mr. Martínez Peral has made significant contributions to both teaching and research. His areas of expertise include  and he has been actively involved in numerous research projects and publications. Mr. Martínez Peral is dedicated to advancing knowledge and fostering innovation within his discipline, making him a respected figure in the academic community.

 

Professional Profiles:

Scopus

Education :

Bachelor’s Degree in Industrial Electronic and Automatic Engineering
Universidad Miguel Hernández de Elche,September 24, 2021,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Master’s Degree in Robotics,Universidad Miguel Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Experience:

,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Bachelor’s Degree in Industrial Electronic and Automatic Engineering,Universidad Miguel Hernández de Elche,September 24, 2021,Master’s Degree in Robotics,Universidad Miguel,Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Skills:

Robotics: Programming ABB robots, designing robotic stations,Computer Vision: Experience with vision recognition and optimization processes,Programming Languages: Python, RAPID, C++,Software: RobotStudio, AutoCAD, TIA Portal,Technical Expertise: Technical Drawing, Electronic Systems Design, State Space Control

Awards:

    • Top Graduate Recognition: Spanish Society of Academic Excellence – National Ranking of Industrial Electronic and Automatic Engineering

Research Focus:

Bachelor’s Thesis: “Programming of ABB robots for automated production tasks”,Design and programming of a robotic station for Pick&Place process of shoe templates,Utilized Python and RobotStudio,Master’s Thesis: “Programming of ABB robots for an automated Pick&Place process of pieces from the textile and leather sector with Vision recognition”,Focused on programming a robotic station with Computer Vision to optimize Pick&Place processes

Publications :

Manipulation Order Optimization in Industrial Pick-and-Place Operations: Application to Textile and Leather Industry

  • Authors: F.J. Martínez-Peral, H. Migallón, J. Borrell-Méndez, M. Martínez-Rach, C. Pérez-Vidal

 

Development of a Tool to Manipulate Flexible Pieces in the Industry: Hardware and Software

  • Authors: F.J. Martínez-Peral, J. Borrell Méndez, J.V. Segura Heras, C. Perez-Vidal

 

Multi-Arm Trajectory Planning for Optimal Collision-Free Pick-and-Place Operations

  • Authors: D. Mateu-Gomez, F.J. Martínez-Peral, C. Pérez-Vidal

 

 

 

 

 

 

Tzu-Chi Chan | Computer aided machine design | Best Researcher Award

Assoc Prof Dr . Tzu-Chi Chan | Computer aided machine design | Best Researcher Award

Assoc Prof Dr.Tzu-Chi Chan ,National Formosa University,Taiwan

Dr. Tzu-Chi Chan is an Associate Professor at National Formosa University in Taiwan. With a robust academic background, Dr. Chan specializes in [insert specialization, e.g., mechanical engineering, computer science, etc.]. He has contributed significantly to his field through numerous research projects, publications, and collaborations with industry experts. Dr. Chan is known for his dedication to teaching, mentoring students, and advancing technological innovation. His work not only enhances academic knowledge but also has practical applications in [insert relevant industry or application area].

 

Professional Profiles:

Scopus

Education :

Ph.D. in Power Mechanical Engineering
National Tsing Hua University, Taiwan, R.O.C.
August 2006 – January 2012

 Experience:

Associate Professor,Department of Mechanical and Computer-Aided Engineering, National Formosa University,August 2022 – Present,Director
Continuing Education Center, National Formosa University
August 2021 – Present,Assistant Professor,Department of Mechanical and Computer-Aided Engineering, National Formosa University
August 2018 – July 2022,Vice Director
Smart Machinery Promotion Office
February 2017 – July 2018,Director, Vice Director, Engineer
Precision Machinery Research and Development Center (PMC)
Machine Tool Industry Development Division, Project Management Office, etc.,June 2000 – July 2018

Skills :

  • Robotics and Automation Technology
  • Precision Machine Design
  • Finite Element Analysis and Testing
  • Machine Dynamics
  • Smart Manufacturing System

Honors & Awards:

Ministry of Economic Affairs Excellent Research Personnel
2003,BEST PAPER AWARD, Chinese Society of Mechanism and Machine Theory (CSMMT)
2009,Professor Zeng Jinhuan’s Commemorative Paper Award, CSMMT
2009,BEST PAPER AWARD, IEEE International Conference on Advanced Manufacturing
2018,BEST PAPER AWARD, IEEE Eurasia Conference on IoT, Communication and Engineering
2019,BEST CONFERENCE PAPER AWARD, 3rd IEEE Eurasia Conference on IoT, Communication and Engineering (IEEE ECICE 2021)
2021,BEST CONFERENCE PAPER AWARD, 4th IEEE Eurasia Conference on IoT, Communication and Engineering (IEEE ECICE 2022)
2022,BEST CONFERENCE PAPER AWARD, 5th IEEE Eurasia Conference on IoT, Communication and Engineering (IEEE ECICE 2023),2023

Professional Service:

Reviewer
IEEE Transactions on Industrial Electronics,Reviewer
International Journal of Advanced Manufacturing Technology,Reviewer
Mechanical Systems and Signal Processing

Publications :

  1. Numerical technique with innovative strategies for performance enhancement in micro-probe measuring equipment
    Microsyst Technol (2023).
    DOI: 10.1007/s00542-023-05568-w
  2. Effect of spatial moving structure and topology optimization of the CNC turning machine tools
    Int J Adv Manuf Technol (2023).
    DOI: 10.1007/s00170-023-12500-z
  3. Design and Analysis of a High-Precision Horizontal Machine Tools
    International Journal of Robotics and Automation Technology, 2023
  4. Finite element analysis and structure optimization of a gantry-type high-precision machine tool
    Sci Rep 13, 13006 (2023).
    DOI: 10.1038/s41598-023-40214-5
  5. Study on Kinematic Structure Performance and Machining Characteristics of 3-Axis Machining Center
    Appl. Sci. 2023, 13(8), 4742
    DOI: 10.3390/app13084742
  6. Study on Desktop Smart Production Line and Diagnosis Technology
    International Journal of Robotics and Automation Technology, 2022, 9, 114-123
  7. Effect of moving structure on the spatial accuracy and compensation of the coordinate measuring machine
    International Journal of Precision Engineering and Manufacturing 22,1551-1561, 2021
    DOI: 10.1007/s12541-021-00560-8
  8. Simulation modeling and experimental verification of moving column precision grinding machine
    Journal of the Chinese Institute of Engineers, 2021
    DOI: 10.1080/02533839.2021.1983464
  9. Prediction model of machining surface roughness for five-axis machine tool based on machine-tool structure performance
    International Journal of Advanced Manufacturing Technology. 18 (2021)
  10. Study on the Digital Intelligent Diagnosis of Miniature Machine Tools
    Applied Sciences, 11(18), 8372, 2021
    DOI: 10.3390/app11188372
  11. Optimization Design of the Composite Structure of Linear Motor Machine Tools
    Journal of Mechanics Engineering and Automation, Volume 9, Number 7, 2019
    DOI: 10.17265/2159-5275/2019.07.001
  12. Prediction Model of Cutting Edge for End Mills Based on Mechanical Material Properties
    The International Journal of Advanced Manufacturing Technology 107, pp 2939–2951, 2020
  13. Influence of External Excitations on Ball Positioning of an Automatic Balancer
    Mechanism and Machine Theory, vol. 69, pp. 115-216, 2013