Xibing Xu | Data Science | Best Researcher Award

Dr. Xibing Xu | Data Science | Best Researcher Award

Shenzhen Medical Academy of Research and Translation, China

Author Profiles

orcid

Scopus

Early Academic Pursuits 🎓

Dr. Xibing Xu’s academic journey began with a solid foundation in biological sciences, leading to his Master’s degree from Shandong University in 2012. His Master’s thesis focused on the two-component signal transduction systems of Streptomyces hygroscopicus. This foundational research sparked his interest in bacterial biology and set the stage for his doctoral studies at Sichuan University. Dr. Xu’s Ph.D. thesis, completed in 2015, centered on “Protein homeostasis regulation and ubiquitin-like systems in bacteria,” deepening his expertise in bacterial systems and protein regulation.

Professional Endeavors 💼

his Ph.D., Dr. Xu expanded his research horizons by embarking on various international and prestigious roles. In 2017-2018, he was awarded a visiting scholarship by the China Scholarship Council, enabling him to work as a visiting scholar at the Laboratoire de Microbiologie et Génétique Moléculaire (LMGM) in Toulouse, France. This experience enhanced his research capabilities and fostered a deeper understanding of bacterial molecular mechanisms. From 2020 to the present, Dr. Xu has served as a Postdoctoral Fellow at LMGM, where he leads the ANR project M-Tox, which investigates translational control by HigB1 and MenT toxins in Mycobacterium tuberculosis.

Contributions and Research Focus 🔬

Dr. Xu’s research is at the cutting edge of microbiology, focusing on bacterial growth inhibition mechanisms mediated by toxins in toxin-antitoxin systems. Specifically, his work on deleterious tRNA nucleotidyltransferase toxins, like MenT in Mycobacterium tuberculosis, has unveiled novel bacterial mechanisms that regulate translation and protein homeostasis. His research involves exploring the role of tRNA biology in bacterial growth control and the interaction between tRNA and toxin proteins, a focus that has the potential to inform future therapeutic strategies for bacterial infections. His expertise extends to RNA-seq, enzymology, and protein-RNA/DNA interactions, all of which contribute to a deeper understanding of bacterial survival and virulence.

Impact and Influence 🌍

Dr. Xu’s work has far-reaching implications in microbial Microbiologie and therapeutic development. By identifying key mechanisms that control bacterial growth through toxin-antitoxin systems, his research addresses critical challenges in combating drug-resistant bacterial infections. His investigations into tRNA biology have provided insights into how bacteria regulate protein synthesis, which could lead to the development of novel antimicrobial strategies. His innovative research has garnered attention within the scientific community, reflected in invitations to present at major international conferences such as the 29th International tRNA Conference in 2024.

Academic Citations 📚

Dr. Xu’s contributions to the field have not only enhanced scientific knowledge but have also been widely recognized and cited in academic publications. His work on toxin-antitoxin systems and tRNA nucleotidyltransferase toxins has attracted significant attention in the microbiology and biochemistry fields. As his research continues to influence studies on bacterial translation control, his citation index is expected to grow, cementing his reputation as an expert in bacterial growth regulation and antibiotic resistance mechanisms.

Technical Skills 🛠️

Dr. Xu possesses a broad array of technical skills in biochemistry and molecular biology, enabling him to conduct complex experimental research. He is proficient in RNA-seq library design and construction, protein-DNA/RNA interaction analysis, and toxin protein purification and activity assays. Additionally, he has extensive experience in cell-free transcription and translation assays, essential for studying the mechanistic details of translation regulation in bacteria. His technical prowess underpins the success of his innovative research in bacterial biology and protein homeostasis.

Teaching Experience 👨‍🏫

Dr. Xu has a strong track record in teaching and academic supervision. From 2015 to 2020, he taught various courses such as Medical Biology, Medical Genetics, and Medical Cell Biology at Henan University of Science and Technology. His teaching not only involved extensive classroom hours but also practical experimental courses, allowing students to gain hands-on experience in molecular biology techniques. Since 2024, Dr. Xu has been supervising Master’s students at the University Paul Sabatier in Toulouse, mentoring students on projects related to phage peptides and protein homeostasis in bacteria, ensuring the next generation of scientists is equipped with the necessary research skills.

Legacy and Future Contributions 🌟

Dr. Xu’s current and future research promises to continue his legacy of groundbreaking work in microbiology, particularly in the areas of bacterial toxin-antitoxin systems and translation control. As a postdoctoral fellow and researcher at LMGM, he is leading projects that could revolutionize our understanding of bacterial growth regulation, with direct applications in combating drug-resistant Mycobacterium tuberculosis. His ongoing research, mentorship, and commitment to expanding scientific knowledge will ensure that his contributions to the field of microbiology will continue to grow in impact and influence.

 Top Noted Publications 📖

Title: Inducible auto-phosphorylation regulates a widespread family of nucleotidyltransferase toxins

Authors: Tom J. Arrowsmith, Xibing Xu, Shangze, Ben Usher, Peter Stokes, Megan Guest, Agnieszka K. Bronowska, Pierre Genevaux, Tim R. Blower
Journal: Nature Communications
Year: 2024

Title: MenT nucleotidyltransferase toxins extend tRNA acceptor stems and can be inhibited by asymmetrical antitoxin binding

Authors: Xibing Xu, Ben Usher, C. Gutierrez, R. Barriot, T.J. Arrowsmith, X. Han, P. Redder, O. Neyrolles, T.R. Blower, P. Genevaux
Journal: Nature Communications
Year: 2023

Title: Substrate recognition and cryo-EM structure of the ribosome-bound TAC toxin of Mycobacterium tuberculosis

Authors: Moïse, Emmanuel Giudice, Xibing Xu, Hatice Akarsu, Patricia Bordes, Valérie Guillet, Donna-Joe Bigot, Nawel Slama, Gaetano D’Urso, Sophie Chat et al.
Journal: Nature Communications
Year: 2022

Title: ClpXP-mediated Degradation of the TAC Antitoxin is Neutralized by the SecB-like Chaperone in Mycobacterium tuberculosis

Authors: Pauline Texier, Patricia Bordes, Jyotsna Nagpal, Ambre Julie Sala, Moise Mansour, Anne-Marie Cirinesi, Xibing Xu, David Andrew Dougan, Pierre Genevaux
Journal: Journal of Molecular Biology
Year: 2021

Title: The ubiquitin-like modification by ThiS and ThiF in Escherichia coli

Authors: Xibing Xu, Tao Wang, Yulong Niu, Ke Liang, Yi Yang
Journal: International Journal of Biological Macromolecules
Year: 2019

Title: BAH1 an E3 Ligase from Arabidopsis thaliana Stabilizes Heat Shock Factor σ32 of Escherichia coli by Interacting with DnaK/DnaJ Chaperone Team

Authors: Xibing Xu, Ke Liang, Yulong Niu, Yan Shen, Xuedong Wan, Haiyan Li, Yi Yang
Journal: Current Microbiology
Year: 2018

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

💼 Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

📝 Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

💻 Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

📖 Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Entropy
    Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Physical Sciences Forum
    Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Conference: MaxEnt 2022
    Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

  • Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
    Journal: Reviews on Recent Clinical Trials
    Year: 2022

An Entropic Structure in Capability Indices

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Communications in Statistics – Theory and Methods
    Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2019