Muhammad Waseem | Computer Technology For Design | Best Research Article Award

Mr. Muhammad Waseem | Computer Technology For Design | Best Research Article Award

Master and PHD at Soonchunhyang University | South Korea

Muhammad Waseem is a dedicated researcher and programmer with a strong foundation in computer science, currently pursuing advanced studies as a Master leading to PhD student at the Computer Graphics Lab, Soonchunhyang University. He holds a Bachelor’s degree in Computer Science from the University of Baltistan, Skardu, where he worked on innovative projects such as Two Step Encryption and Decryption for University Data Security. His professional experience includes roles as a Python Programmer at Al-Khidmat Health Foundation Islamabad, where he customized the GNU Health framework, maintained servers, deployed software solutions across hospital branches, trained medical staff, and performed patient data analysis, as well as a Computer Vision Intern at Visionbotix Pvt. Limited, contributing to national and international projects involving video stitching, object detection, hand gesture recognition, and GUI development using OpenCV, Tkinter, and SIFT-based algorithms. His research interests span computer vision, graphics, machine learning, and simulation, highlighted by his publication on large-scale particle-based fluid simulation in Unity 3D. Proficient in Unity, Python, C#, HLSL, MATLAB, C++, and Overleaf, he combines technical expertise with strong problem-solving, analytical, and communication skills. He has been recognized with a prize for his performance at the IT Project Exhibition organized by the Computer Science Department of Karakoram International University. Beyond academia, he enjoys hiking, traveling, football, and personal development, reflecting his versatile personality and motivation to excel in both research and professional endeavors.

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Featured Publications

Waseem, M., & Hong, M. (2025). Moving towards large-scale particle-based fluid simulation in Unity 3D. Applied Sciences, 15(17), 9706.

 

 

 

 

 

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.

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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.