Mr Yupeng Niu | Bioinformatics | Best Researcher Award.

Sichuan Agricultural University,China

Professional Profiles:

👨‍🎓 Bio Summary:

Mr. Yupeng Niu is a dedicated student at Sichuan Agricultural University pursuing a Bachelor’s degree in Computer Science and Technology. With a remarkable Cumulative GPA of 91.70/100, he stands out as the 15th among 202 students in his class. His academic journey has been adorned with numerous accolades, including national and provincial awards for his outstanding performance in competitions such as the “Innovation Cup” National College Students’ Employment Competence Competition and the IEEE UV Innovation Solution Competition.

🎓 Education:

From September 2021 to June 2025, Mr. Niu is pursuing his Bachelor’s degree in Computer Science and Technology at Sichuan Agricultural University, as part of the prestigious 211 Project and Double First-Class Initiative. He has demonstrated academic excellence with a cumulative GPA of 91.70/100, securing the 15th position out of 202 students. His coursework includes fundamental subjects such as Python Programming, Linear Algebra, and Circuit Theory, among others.

🔍 Research Focus:

Mr. Niu’s research interests encompass a diverse array of topics within the realm of computer science and technology. He has demonstrated proficiency in AI applications, particularly in the fields of image recognition, predictive modeling, and natural language processing. His recent projects have focused on areas such as detection algorithms for agricultural applications, predictive modeling for vaccine distribution, and peptide screening for biomedical purposes.

🏆 Honors & Awards:

Throughout his academic journey, Mr. Niu has been consistently recognized for his outstanding achievements. He has received prestigious honors including a National Special Prize in the “Innovation Cup” National College Students’ Employment Competence Competition, First Prize in the IEEE UV Innovation Solution Competition, and Second Prize in the China Robot Competition and TechChallenge. His contributions have also been acknowledged with provincial awards and recognition in various extracurricular competitions.

Professional Experience: 💼

Mr. Niu’s professional experience encompasses diverse roles, including his tenure as an Algorithm Intern at Baidu, where he was entrusted with responsibilities such as preprocessing datasets and training models using Baidu PaddlePaddle Easy DL. He was later appointed as a Baidu PaddlePaddle Developer Technical Expert, contributing significantly to the development of online courses and serving as a leader within the Baidu PaddlePaddle Pioneer Group

📚 Top Noted Publications :

Title: Efficient screening of pharmacological broad-spectrum anti-cancer peptides utilizing advanced bidirectional Encoder representation from Transformers strategy

Authors: Niu, Y., Li, Z., Chen, Z., … Wei, J., Mu, J.

Journal: Heliyon

Volume and Issue: 10(9)

Pages: e30373

Year: 2024

Title: YOLO-plum: A high precision and real-time improved algorithm for plum recognition

Authors: Niu, Y., Lu, M., Liang, X., Wu, Q., Mu, J.

Journal: PLoS ONE

Volume and Issue: 18(7 July)

Pages: e0287778

Year: 2023

Citations: 3

Title: Application of Deep Learning in Image Recognition of Citrus Pests

Authors: Jia, X., Jiang, X., Li, Z., … Wang, Y., Niu, Y.

Journal: Agriculture (Switzerland)

Volume and Issue: 13(5)

Pages: 1023

Year: 2023

Citations: 4

Title: Vaccine Prediction and Distribution Model under the New Situation in China Based on Informer

Authors: Niu, Y., Xu, J., Tan, J.

Conference: 6th IEEE International Conference on Universal Village, UV 2022

Year: 2022

Author Metrics 📊 :

As a prolific researcher, Mr. Niu has demonstrated impressive author metrics, with publications in reputable journals and conferences. His works have garnered attention within the academic community, as reflected in citation counts and impact factors. His contributions have contributed to advancing knowledge and fostering innovation in his areas of expertise.

📅 Research Timeline:

Mr. Niu’s research journey spans multiple projects and initiatives, each marked by significant achievements and milestones. From his early endeavors in agricultural detection algorithms to his recent focus on biomedical applications of AI, he has continuously pushed the boundaries of knowledge and innovation. His timeline reflects a trajectory of growth and impact, with each project contributing to his development as a researcher and a leader in his field.

👨‍🎓 Bio Summary:

Dr. Shoaib Khan is a dedicated professional with a Ph.D. in Organic Chemistry and a strong background in systems management. He is committed to using his education experience and computer skills to bring students into the twenty-first century. Dr. Khan’s research focuses on the design, synthesis, and biological evaluation of various organic compounds, with a particular interest in their potential applications in medicine and agriculture.

🎓 Education:

Dr. Khan completed his Ph.D. in Organic Chemistry from Hazara University, Mansehra, following his earlier degrees in Botany, Zoology, and Chemistry. He also holds a B.Ed. and M.Ed. in Science from Allama Iqbal Open University, Islamabad.

🔍 Research Focus:

Dr. Khan’s research primarily centers on the synthesis and evaluation of novel compounds with potential biological activities. His work often involves molecular docking studies and in vitro biological evaluations to assess the compounds’ efficacy against various targets, such as enzymes and cancer cells.

🏆 Honors & Awards:

Dr. Khan has received recognition for his research contributions, including awards for the quality and impact of his publications. He has also been honored for his teaching and supervisory roles in academia.

Professional Experience: 💼

Dr. Khan has extensive experience in academia, including supervising and mentoring students at various levels. He has served as an external examiner and has contributed significantly to the advancement of organic chemistry through his research and teaching.

📚 Top Noted Publications :

Title: Synthesis, in vitro α-amylase, α-glucosidase activities and molecular docking study of new benzimidazole bearing thiazolidinone derivatives
Authors: S Khan, H Ullah, F Rahim, M Nawaz, R Hussain, L Rasheed
Journal: Journal of Molecular Structure
Volume: 1269
Pages: 133812
Year: 2022
Citations: 42

Title: Synthesis, in vitro anti-microbial analysis and molecular docking study of aliphatic hydrazide-based benzene sulphonamide derivatives as potent inhibitors of α-glucosidase
Authors: S Khan, S Iqbal, M Shah, W Rehman, R Hussain, L Rasheed, H Alrbyawi, …
Journal: Molecules
Volume: 27
Issue: 20
Pages: 7129
Year: 2022
Citations: 36

Title: Multipotent cholinesterase inhibitors for the treatment of Alzheimer’s disease: Synthesis, biological analysis and molecular docking study of benzimidazole-based thiazole
Authors: R Hussain, H Ullah, F Rahim, M Sarfraz, M Taha, R Iqbal, W Rehman, …
Journal: Molecules
Volume: 27
Issue: 18
Pages: 6087
Year: 2022
Citations: 32

Title: Synthesis, DFT Studies, molecular docking and biological activity evaluation of thiazole-sulfonamide derivatives as potent Alzheimer’s inhibitors
Authors: S Khan, H Ullah, M Taha, F Rahim, M Sarfraz, R Iqbal, N Iqbal, R Hussain, …
Journal: Molecules
Volume: 28
Issue: 2
Pages: 559
Year: 2023
Citations: 28

Title: New biologically potent benzimidazole‐based‐triazole derivatives as acetylcholinesterase and butyrylcholinesterase inhibitors along with molecular docking study
Authors: Y Khan, W Rehman, R Hussain, S Khan, A Malik, M Khan, A Liaqat, …
Journal: Journal of Heterocyclic Chemistry
Volume: 59
Issue: 12
Pages: 2225-2239
Year: 2022
Citations: 23

Title: Design, synthesis, in silico testing, and in vitro evaluation of thiazolidinone-based benzothiazole derivatives as inhibitors of α-amylase and α-glucosidase
Authors: S Khan, S Iqbal, M Khan, W Rehman, M Shah, R Hussain, L Rasheed, …
Journal: Pharmaceuticals
Volume: 15
Issue: 10
Pages: 1164
Year: 2022
Citations: 22

.Author Metrics 📊 :

Dr. Khan’s publications have a significant impact factor, indicating the quality and influence of his research in the scientific community. His work has been cited by other researchers, further highlighting its importance and relevance.

📅 Research Timeline:

Dr. Khan’s research journey has been marked by a series of achievements, starting from his early education in science to his current position as a respected researcher and educator in the field of organic chemistry.