Xiaocui Wan | Biochemistry | Best Researcher Award

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Dr. Xiaocui Wan | Biochemistry | Best Researcher Award

Dr. Xiaocui Wan, Anhui University, China

Dr. Xiao-Cui Wan is a dedicated PhD student at Anhui University, specializing in peptide and protein engineering. Her research centers on constructing and screening large-scale gene coding cyclic peptide libraries and innovating methods for peptide cyclization. With three first-author publications in top-tier journals, she has already made significant contributions to chemical biology and molecular design. Dr. Wan is passionate about developing novel biochemical tools and has introduced pioneering techniques in peptide synthesis. Her academic diligence and innovative spirit have positioned her as a promising young researcher in molecular biotechnology. 📚🧬🔬

Publication Profile

Scopus

🎓 Education

Xiao-Cui Wan is currently pursuing her PhD in the field of chemical biology at Anhui University, China. Her doctoral research focuses on advanced techniques for constructing peptide macrocycle libraries and modifying protein structures for enhanced biochemical function. Through rigorous training in peptide synthesis, enzymatic cyclization, and molecular display systems, she has developed deep expertise in biomolecular design. She also holds prior academic qualifications in life sciences and biochemistry, forming a strong foundation for her current research. Her educational journey reflects a commitment to innovation, problem-solving, and scientific excellence in the field of molecular biology. 🎓🧪📖

💼 Experience

A PhD candidate at Anhui University, Xiao-Cui Wan has led and contributed to five significant research projects, each focusing on cutting-edge strategies in peptide cyclization and library screening. Her work has resulted in three first-author papers in high-impact journals such as Organic Letters and Chemical Science. She has also collaborated on advanced studies using ligase-based and enzyme-mediated methods for macrocyclic peptide synthesis. While still early in her career, Dr. Wan’s research experiences highlight her growing expertise in synthetic biology and protein chemistry, showcasing her potential as a future leader in peptide therapeutics. 🧫🔍📊

🏅 Awards and Honors

Though still in the early stages of her academic career, Xiao-Cui Wan has achieved significant recognition through her first-author publications in internationally respected journals like Organic Letters and Chemical Science. These accomplishments reflect both the quality and impact of her research. Her innovations in peptide cyclization have earned her distinction among peers and mentors, and her nomination for the “Best Researcher Award” further underlines her contributions to the scientific community. As her career progresses, she is well-positioned to receive further accolades for her pioneering work in molecular biotechnology. 🏆📜🌟

🔬 Research Focus

Dr. Xiao-Cui Wan’s research focuses on the construction and screening of gene-coded cyclic peptide libraries and the structural-functional modification of peptides and proteins. She specializes in enzyme-mediated cyclization techniques, such as using sortase and omniligase for developing macrocyclic ligands. Her work explores novel chemical strategies like thioproline oxidation and phage display systems for therapeutic peptide discovery. These contributions aim to enhance the efficiency and specificity of biologically active molecules. Her research lies at the intersection of synthetic biology, chemical synthesis, and molecular medicine. 🧪🧬💡

Publication Top Notes

  • 📄 Asparaginyl Endopeptidase-Mediated Peptide Cyclization for Phage Display – Organic Letters, 2024
    🔗 DOI: 10.1021/acs.orglett.4c00602
    📅 Published: April 2024

  • 📄 Employing Unnatural Promiscuity of Sortase to Construct Peptide Macrocycle Libraries for Ligand Discovery – Chemical Science, 2024
    🔗 DOI: 10.1039/D4SC01992J
    📅 Published: May 2024

  • 📄 Thioproline-Based Oxidation Strategy for Direct Preparation of N-Terminal Thiazolidine-Containing Peptide Thioesters from Peptide Hydrazides – Organic Letters, 2024
    🔗 DOI: 10.1021/acs.orglett.4c01687
    📅 Published: June 2024

  • 📄 A Ligase-Based Two-Step Approach for the Generation of Bicyclic Peptides Containing a Benzylphenyl Thioether Framework – ChemBioChem, 2025
    🔗 DOI: 10.1002/cbic.202500240
    📅 Published: 2025

  • 📄 Omniligase-1 Mediated Peptide Cyclization for Phage Display – ChemRxiv Preprint, 2025
    🔗 DOI: 10.26434/chemrxiv-2025-58n67-v2
    📅 Published: April 2025

Aparna Pandey | Biochemistry Award | Best Researcher Award

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Ms. Aparna Pandey | Biochemistry Award | Best Researcher Award

Ph.D. student (CSIR-UGC SRF), UNIVERSITY OF ALLAHABAD, India

Prof. Dr. Weidong Jiao (b. 1970, Wafangdian, China) is a distinguished mechanical engineer specializing in smart testing, signal processing, mechanical dynamics, and fault diagnosis. He earned his B.E. and M.E. from Gansu University of Technology and a Ph.D. in Mechanical Engineering from Zhejiang University (2004). He served at Jiaxing University (2004-2009) and has been a Professor at Zhejiang Normal University since 2013. With 100+ publications and 20 patents, he is an influential researcher and Editor of the Journal of Vibration, Measurement & Diagnosis. His work advances mechanical equipment reliability and diagnostics. ⚙️📡📖

 

Publication Profile

Scopus

Academic Background 🎓

Prof. Dr. Weidong Jiao holds a strong academic foundation in mechanical and safety engineering. He obtained his B.E. and M.E. degrees from Gansu University of Technology and later earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. His educational background aligns well with high-impact research in engineering.

Professional Experience 👨‍🏫

Prof. Jiao has held faculty positions at Jiaxing University and Zhejiang Normal University. Since 2013, he has served as a Professor at Zhejiang Normal University’s School of Engineering, showcasing his long-term commitment to research and academia.

Research Focus 🔬⚙️

Prof. Dr. Weidong Jiao specializes in mechanical fault diagnosis, signal processing, and intelligent condition monitoring. His work includes bearing fault detection 🛠️, rotor fault diagnosis 🚀, and high-speed train instability analysis 🚆 using deep learning 🤖, wavelet transforms 📊, and graph neural networks. Additionally, he explores brain functional networks 🧠, mental fatigue detection 💤, and EEG-based fatigue analysis for human performance monitoring. His research spans mechanical engineering, artificial intelligence, and neuroscience, contributing to smart diagnostics and industrial safety. As an editor and innovator, he advances predictive maintenance and

Publication Top Notes

  • “Novel Imbalanced Multi-Class Fault Diagnosis Method Using Transfer Learning and Oversampling Strategies-Based Multi-Layer Support Vector Machines (ML-SVMs)” (2024)

  • “Advances and Challenges in the Hunting Instability Diagnosis of High-Speed Trains” (2024)

  • “Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition” (2023)

  • “Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model” (2022)

    “Reorganization of Brain Functional Network during Task Switching before and after Mental Fatigue” (2022)

  • “Multi-Scale Sample Entropy-Based Energy Moment Features Applied to Fault Classification” (2021)

  • “A Novel Rolling Bearing Defect Detection Method Based on Bispectrum Analysis and Cloud Model-Improved EEMD” (2020)

  • “The Maximum Eigenvalue of the Brain Functional Network Adjacency Matrix: Meaning and Application in Mental Fatigue Evaluation” (2020)

  • “Effects of Mental Fatigue on Small-World Brain Functional Network Organization” (2019)

  • “A New Method for Automatically Modelling Brain Functional Networks” (2018)

Conclusion 🏆

Prof. Dr. Weidong Jiao is highly suitable for the Best Researcher Award due to his strong academic background, extensive research contributions, numerous publications, patents, and leadership roles in mechanical engineering. His work in smart testing, fault diagnosis, and mechanical dynamics significantly impacts industry and academia, making him a deserving candidate for this recognition.