Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

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Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Yunpeng Xiong is a 24-year-old software engineering graduate from Nanchang Institute of Technology and a current master’s student in Cybersecurity at Hainan Normal University. He is a dedicated and responsible individual with a strong team spirit and the ability to handle significant work pressure. Yunpeng has a solid academic background, having achieved high scores in courses like WEB front-end development and Python programming, and holds an English proficiency of CET-6 (475). He has been recognized as an excellent class leader and Communist Youth League cadre and has mid-level certification in computer proficiency. Yunpeng has participated in several scientific competitions and projects, including a takeaway backend sales management system and a library management system, utilizing technologies like SpringBoot, MySQL, MyBatis, and Vue. Currently, he is working on a research paper proposing a hybrid neural network model for ticket text classification based on BERT, BiLSTM, and CNN.

Professional Profile:

Orcid

šŸŽ“Education:

Yunpeng Xiong is currently pursuing a Masterā€™s in Cybersecurity at Hainan Normal University, where he is engaged in research on a hybrid neural network model (BERT-BiLSTM-CNN) for ticket text classification. He completed his Bachelor’s in Software Engineering at Nanchang Institute of Technology, where he excelled in courses such as WEB front-end development and Python programming, achieving high scores, including a 92 in WEB front-end development.

šŸ¢Work Experience:

Yunpeng Xiong has served as a Class Leader and Event Organizer, where he planned and managed various school and college-level activities. His project experience includes developing a Takeaway Backend Sales Management System (May 2021 – September 2021), where he was responsible for project setup, database design and implementation, and backend management system development, utilizing technologies such as SpringBoot, MySQL, and MyBatis Plus. He also worked on a Library Management System (February 2022 – May 2022), handling project setup, database design, backend system development, and front-end webpage creation using ElementUI and Axios. This project employed technologies like SpringBoot, MySQL, MyBatis, Vue, and ElementUI.

šŸ†Awards and Achievements:

Yunpeng Xiong has been recognized as an Excellent Class Leader and an Outstanding Communist Youth League Cadre. He has achieved mid-level certification in computer proficiency and has participated in scientific competitions, earning accolades such as the Network Technology Challenge award.

Publication Top Notes:

Title: Research on the Classification of Work Orders based on BERT and Feature Fusion

 

 

Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

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Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt MujwarĀ  , Chitkara University, Punjab , India

Dr. Somdutt Mujwar is a distinguished Computational and Medicinal Chemist renowned for his extensive contributions to drug design and discovery. Currently an Associate Professor at Chitkara College of Pharmacy, Chitkara University, India, he applies advanced computational techniques and machine learning in pharmaceutical research. With a robust academic background including a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Dr. Mujwar has made significant strides in computational drug repurposing and genomics-driven drug target identification. His research has been widely published in reputable journals, contributing to advancements in understanding molecular interactions and developing novel therapeutic strategies. Dr. Mujwar’s expertise extends to molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies, reflecting his commitment to leveraging computational tools for innovative drug development.

Professional Profile:

Scopus

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Education:

Dr. Somdutt Mujwar is an accomplished Computational and Medicinal Chemist with a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Bhopal, India. He currently holds the position of Associate Professor at Chitkara College of Pharmacy, Chitkara University, where he leads research applying advanced computational techniques and machine learning in pharmaceutical sciences. Dr. Mujwar’s academic journey includes a Master of Pharmacy in Pharmaceutical Chemistry from Rajiv Gandhi Technical University and a Bachelor of Pharmacy from Barkatullah University, both in India.

Work Experience:

His professional experience spans significant roles such as Assistant Professor at the Institute of Pharmaceutical Research, GLA University, Mathura, where he focused on computational drug repurposing and established a computational drug design laboratory. Previously, as a Doctoral Research Fellow at Maulana Azad National Institute of Technology, he conducted pioneering research on riboswitches as drug targets. Dr. Mujwar’s research contributions have been published extensively in reputable journals, advancing the fields of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies. His work underscores a deep commitment to leveraging computational tools for innovative drug discovery and development.

Publication Top Notes:

  1. Doxorubicinā€”an agent with multiple mechanisms of anticancer activity
    • Cited by 98
    • Year: 2023
    • Journal: Cells 12 (4), 659
  2. Repurposing metocurine as main protease inhibitor to develop novel antiviral therapy for COVID-19
    • Cited by 68
    • Year: 2020
    • Journal: Structural chemistry 31 (6), 2487-2499
  3. A retrospect on antimicrobial potential of thiazole scaffold
    • Cited by 63
    • Year: 2020
    • Journal: Journal of Heterocyclic Chemistry 57 (6), 2304-2329
  4. Molecular Docking and In Silico Cogitation Validate Mefenamic Acid Prodrugs as Human Cyclooxygenase-2 Inhibitor
    • Cited by 63
    • Year: 2019
    • Journal: ASSAY and Drug Development Technologies 17 (6)
  5. Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2
    • Cited by 57
    • Year: 2021
    • Journal: Computers in Biology and Medicine 136, 10474