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

ZongXiang LI | space physics | Best Researcher Award

Mr. ZongXiang LI | space physics | Best Researcher Award

University of Chinese Academy of Sciences, China

Author Profile

👨‍💼 Summary

Mr. ZongXiang Li is a distinguished researcher at the University of Chinese Academy of Sciences in China, specializing in space physics and data analysis. His work focuses on innovative approaches to analyzing space physics data, with an emphasis on satellite data processing and space environment modeling. He is a recognized expert in data-driven research and its applications in space science.

🎓 Education

Mr. Li holds a Ph.D. in Space Physics from the University of Chinese Academy of Sciences, where he developed foundational knowledge in space weather dynamics and data analysis techniques. His academic journey has been centered around integrating data science into space physics research.

💼 Professional Experience

Mr. Li has worked as a researcher and professor at the University of Chinese Academy of Sciences, focusing on space weather, magnetosphere dynamics, and developing innovative data analysis techniques. He has collaborated with various international space agencies and played a significant role in space exploration and satellite mission research.

📚 Academic Citations

With a strong presence in the academic community, Mr. Li has authored numerous papers in high-impact journals, contributing to space physics and data analysis. His work is widely cited in the fields of space weather prediction and satellite data processing.

🖥️ Technical Skills

Mr. Li is highly skilled in data analysis tools such as MATLAB, Python, and R, with expertise in handling large datasets, space physics modeling, and machine learning applications. He is proficient in satellite data processing, statistical analysis, and advanced data visualization techniques.

👨‍🏫 Teaching Experience

Mr. Li has taught courses on space physics, data analysis, and satellite technology at the University of Chinese Academy of Sciences. He has also supervised graduate students, mentoring them in research areas related to space science and data-driven approaches.

🔬 Research Interests

His research interests include space weather prediction, space environment modeling, and the development of innovative data analysis algorithms. Mr. Li is particularly focused on studying the impact of space weather on Earth’s satellite systems and technological infrastructure.

 

📖 Top Noted Publications

Locating Strong Electromagnetic Pulses Recorded by a Single Satellite with Cluster Analysis and Worldwide Lightning Location Network Observations
    • Authors: Zongxiang Li, Baofeng Cao, Wenjuan Zhang, Xiaoqiang Li, Xiong Zhang, Yongli Wei, Xiao Li, Changjiao Duan, Peng Li
    • Journal: Remote Sensing
    • Year: 2024
Design of a High-Power Nanosecond Electromagnetic Pulse Radiation System for Verifying Spaceborne Detectors
    • Authors: Tianchi Zhang, Zongxiang Li, Changjiao Duan, Lihua Wang, Yongli Wei, Kejie Li, Xin Li, Baofeng Cao
    • Journal: Sensors
    • Year: 2024
Efficient Fourth-Order PSTD Algorithm with Moving Window for Long-Distance EMP Propagation
    • Authors: Yongli Wei, Baofeng Cao, Zongxiang Li, Tianchi Zhang, Changjiao Duan, Xiao Li, Xiaoqiang Li, Peng Li
    • Journal: Sensors
    • Year: 2024
Evolution of the Leader Discharge in Bi-Directional Propagation System in Altitude-Triggered Lightning
    • Authors: Xiao Li, Peng Li, Baofeng Cao, Xiaoqiang Li, Gaopeng Lu, Yunfen Chang, Xiong Zhang, Yongli Wei, Zongxiang Li, Yang Zhang, et al.
    • Journal: Earth and Space Science
    • Year: 2024
Dispersive Propagation of Nuclear Electromagnetic Pulse in the Ionosphere
    • Authors: Yongli Wei, Dinghan Zhu, Zongxiang Li, Lihua Wang, Yuan Wang, Tianchi Zhang, Bin Xing, Baofeng Cao, Peng Li
    • Journal: Frontiers in Astronomy and Space Sciences
    • Year: 2023

Haixia Mao | Data Science | Best Researcher Award

Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

💼 Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

📚 Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

💻 Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

📚 Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

📖Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Anusuya Pal | Temporal Data Patterns | Best Researcher Award

Dr. Anusuya Pal | Temporal Data Patterns | Best Researcher Award

Dr. Anusuya Pal at The University of Tokyo, Japan

👨‍🎓 Profiles

👤 Summary

Dr. Anusuya Pal is a physicist specializing in Soft-Condensed Matter and Biophysics. Her research focuses on emergent morphological patterns, interfacial properties, and collective behavior in colloidal systems, utilizing image processing and machine learning techniques.

🎓 Education

Dr. Pal is currently a JSPS Post-doctoral Research Fellow at the Graduate School of Arts and Sciences, University of Tokyo. She previously held a post-doctoral position at the University of Warwick, UK. She earned her PhD in Physics from Worcester Polytechnic Institute (WPI) with a dissertation on self-assembly in bio-colloids, as well as an M.Sc. in Physics from WPI and an Integrated Master’s from the University of Hyderabad, India.

💼 Professional Experience

With a robust background in research, Dr. Pal has published multiple peer-reviewed articles and contributed significantly to her field. She has worked in various prestigious institutions, enhancing her expertise in both theoretical and experimental physics.

🔧 Technical Skills

Dr. Pal is skilled in a range of techniques including optical microscopy, scanning electron microscopy, and image analysis using ImageJ and Fiji. She is proficient in programming languages such as MATLAB and R, and has experience with statistical analysis and scientific writing.

📚 Teaching Experience

An experienced educator, Dr. Pal has instructed in various capacities, including as an instructor for outreach programs and as a teaching assistant at WPI. She has mentored high school and undergraduate students through hands-on experiments and lectures.

🔬 Research Interests

Her research encompasses the study of colloids and suspensions, drying droplets, and complex fluids, focusing on their physical properties and behaviors. She applies innovative computational methods to deepen the understanding of these systems.

 

📖 Top Noted Publications 

Pattern recognition of drying lysozyme–glucose droplets using machine learning classifiers
    • Authors: Anusuya Pal, Miho Yanagisawa
    • Journal: Physica A: Statistical Mechanics and its Applications
    • Year: 2024
Texture identification in liquid crystal-protein droplets using evaporative drying, generalized additive modeling, and K-means Clustering
    • Authors: Anusuya Pal, Amalesh Gope
    • Journal: The European Physical Journal E
    • Year: 2024
Time-Lapse Quantitative Analysis of Drying Patterns and Machine Learning for Classifying Abnormalities in Sessile Blood Droplets
    • Authors: Anusuya Pal, Miho Yanagisawa, Amalesh Gope
    • Journal: Preprint
    • Year: 2024
Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
    • Authors: Amalesh Gope, Anusuya Pal, Sekholu Tetseo, Tulika Gogoi, Joanna J, Dinkur Borah
    • Journal: Humanities and Social Sciences Communications
    • Year: 2024

Di Mao | Data Analysis | Best Researcher Award

Mr. Di Mao | Data Analysis | Best Researcher Award

Mr. Di Mao at Peking University Third Clinical School of Medicine, China

👨‍🎓 Profile

👩‍⚕️ Summary

Di Mao is a dedicated medical student at Peking University Health Science Center, specializing in clinical research. With a focus on reproductive health, she investigates the implications of various health conditions on fertility and pregnancy outcomes.

🎓 Education

Currently enrolled in the Eight-Year Undergraduate Program in Clinical Medicine at Peking University Health Science Center since 2021.

💼 Professional Experience

As a co-author of several research publications in high-impact journals, Di has contributed to studies examining the effects of artificial sweeteners, mental health disorders, and reproductive health in women.

🔍 Research Interests

Di’s research interests encompass reproductive health, infertility, and pregnancy outcomes, as well as the impact of mental health on fertility and thyroid function in assisted reproductive technologies. She also explores trends in postoperative complications and delirium.

📖  Top Noted Publications

Treatment outcomes of infertile women with endometrial hyperplasia undergoing their first IVF/ICSI cycle: A matched-pair study

  • Authors: Jing Yang, Mingmei Lin, Di Mao, Hongying Shan, Rong Li
    Journal: European Journal of Obstetrics & Gynecology and Reproductive Biology
    Year: 2024

Artificial Sweetener and the Risk of Adverse Pregnancy Outcomes: A Mendelian Randomization Study

  • Authors: Di Mao, Mingmei Lin, Zhonghong Zeng, Dan Mo, Kai-Lun Hu, Rong Li
    Journal: Nutrients
    Year: 2024

 Common mental disorders and risk of female infertility: a two-sample Mendelian randomization study

  • Authors: Di Mao, Mingmei Lin, Rong Li
    Journal: Frontiers in Endocrinology
    Year: 2024

 Impact of mildly evaluated thyroid-stimulating hormone levels on in vitro fertilization or intracytoplasmic sperm injection outcomes in women with the first fresh embryo transfer: a large study from China

  • Authors: Mingmei Lin, Di Mao, Kai-Lun Hu, Ping Zhou, Fen-Ting Liu, Jingwen Yin, Hua Zhang, Rong Li
    Journal: Journal of Assisted Reproduction and Genetics
    Year: 2024

Francisco Isrel Renteria Flores | Data Visualization | Best Researcher Award

Dr. Francisco Isrel Renteria Flores | Data Visualization | Best Researcher Award

Dr. Francisco Isrel Renteria Flores at Centro Universitario de CIencias de la Salud, Mexico

👨‍🎓 Profile

📚 Academic Background

Francisco Israel Renteria Flores is a PhD candidate in Molecular Biology in Medicine at the University of Guadalajara. He holds a Master’s in Sustainable Production Systems and a Bachelor’s in Marine Biology, showcasing a strong research background and active involvement in scientific communication.

🎓 Education

Francisco completed his PhD in Molecular Biology in Medicine at the University of Guadalajara, Center for Health Sciences (2021-2023). He earned his Master’s in Sustainable Production Systems from Universidad Estatal de Sonora (2016-2018) and his Bachelor’s in Marine Biology at Instituto Tecnológico de Bahía de Banderas (2005-2009).

💼 Professional Experience

Currently, he is a PhD researcher at the Biomedical Research Center of Occidente (IMSS) from 2021 to 2025. Previously, he worked as a Master’s researcher at Universidad Estatal de Sonora (2016-2018) and completed research internships at CICIMAR-IPN (2008-2009), Instituto Tecnológico del Valle del Yaqui (2017), and CIAD-CONACYT Culiacán (2018). He also served as an academic coordinator and lecturer at Tecnológico de Monterrey from 2013 to 2017.

🔬 Research Interests

Francisco’s research interests lie in molecular biology and its medical applications, with a commitment to sustainable practices in biosciences. He has authored three scientific publications, including two as the first author, and has presented his work at international conferences in Spain, Mexico, and other venues.

📖  Top Noted Publications
Bactofection, Bacterial-Mediated Vaccination, and Cancer Therapy: Current Applications and Future Perspectives
    • Authors: Francisco Israel Renteria-Flores, Mariel García-Chagollán, Luis Felipe Jave-Suárez
    • Journal: Vaccines
    • Year: 2024
Severe COVID-19: Drugs and Clinical Trials
    • Authors: Hazael Ramiro Ceja-Gálvez, Francisco Israel Renteria Flores, Ferdinando Nicoletti, Jorge Hernández-Bello, Gabriela Macedo-Ojeda, José Francisco Muñoz-Valle
    • Journal: Journal of Clinical Medicine
    • Year: 2023

Zhen Yang | Data Visualization | Best Researcher Award

Dr. Zhen Yang | Data Visualization | Best Researcher Award

Doctorate at Arthritis Clinical and Research Center, China

👨‍🎓 Profile

🔬Academic Background

Zhen Yang is a dedicated doctoral candidate at the Arthritis Clinical and Research Center of Peking University People’s Hospital. His work focuses on understanding and treating osteoarthritis through advanced tissue engineering and regenerative medicine.

🎓 Education

  • Doctoral Candidate, Arthritis Clinical and Research Center, Peking University People’s Hospital

💼 Professional Experience

Zhen Yang has spent three years in graduate-level coursework and research, focusing on cartilage and meniscus tissue engineering. He has been involved in developing osteochondral organs for tissue regeneration, creating a 3D dynamic culture system to enhance extracellular vesicle production, and investigating articular cartilage lubrication. His efforts have led to contributions in creating a super-lubricating hydrogel.

🔍 Research Interests

  • Cartilage and meniscus tissue engineering
  • Regenerative medicine for osteoarthritis
  • Osteochondral organ development
  • 3D dynamic culture systems for extracellular vesicle production
  • Articular cartilage lubrication and super-lubricating hydrogels

📖 Publications

Advances in Shear Stress Stimulation of Stem Cells: A Review of the Last Three Decades
    • Authors: Qiyuan Lin, Zhen Yang, Hao Xu, Yudi Niu, Qingchen Meng, Dan Xing
    • Year: 2024
    • Journal: Biomedicines
In situ self-assembled organoid for osteochondral tissue regeneration with dual functional units
    • Authors: Zhen Yang, Bin Wang, Wei Liu, Xiaoke Li, Kaini Liang, Zejun Fan, Jiao Jiao Li, Yudi Niu, Zihao He, Hui Li et al.
    • Year: 2023
    • Journal: Bioactive Materials
Integrated bioactive scaffold with aptamer‐targeted stem cell recruitment and growth factor‐induced pro‐differentiation effects for anisotropic meniscal regeneration
    • Authors: Hao Li, Tianyuan Zhao, Fuyang Cao, Haoyuan Deng, Songlin He, Jianwei Li, Shuyun Liu, Zhen Yang, Zhiguo Yuan, Quanyi Guo
    • Year: 2022
    • Journal: Bioengineering & Translational Medicine
Microenvironmentally optimized 3D-printed TGFβ-functionalized scaffolds facilitate endogenous cartilage regeneration in sheep
    • Authors: Zhen Yang, Fuyang Cao, Hao Li, Songlin He, Tianyuan Zhao, Haoyuan Deng, Jianwei Li, Zhiqiang Sun, Chunxiang Hao, Jianzhong Xu et al.
    • Year: 2022
    • Journal: Acta Biomaterialia
Nerve growth factor (NGF) and NGF receptors in mesenchymal stem/stromal cells: Impact on potential therapies
    • Authors: Kangkang Zha, Yu Yang, Guangzhao Tian, Zhiqiang Sun, Zhen Yang, Xu Li, Xiang Sui, Shuyun Liu, Jinmin Zhao, Quanyi Guo
    • Year: 2021
    • Journal: STEM CELLS Translational Medicine
Endogenous cell recruitment strategy for articular cartilage regeneration
    • Authors: Zhen Yang, Hao Li, Zhiguo Yuan, Liwei Fu, Shuangpeng Jiang, Cangjian Gao, Fuxin Wang, Kangkang Zha, Guangzhao Tian, Zhiqiang Sun et al.
    • Year: 2020
    • Journal: Acta Biomaterialia

Fares Hezam Al-Ostoot | Data Visualization | Best Scholar Award

Dr. Fares Hezam Al-Ostoot | Data Visualization | Best Scholar Award

Doctorate at Palermo University, Yemen

👨‍🎓 Profiles

ORCID
Scopus
ResarchGate
Google Scholar
Kudos
SemanticScholar
Web of Science

🔬 Summary

Accomplished biochemist with a robust background in chemistry and biochemistry, including substantial experience in teaching, research, and academic service. Proven track record in research with over 50 publications and significant citation impact. Experienced in both academic and practical aspects of chemistry and biochemistry, with a commitment to advancing scientific knowledge and education.

🎓 Education

  • Ph.D. in Biochemistry, University of Mysore, India (2022)
    Thesis: Synthesis and Characterization of New Phenoxy Acetamide Analogs as Anti-Cancer Agents
  • Master of Science in Biochemistry, SRTM University, India (2015)
    First Class with Distinction, Overall Average: 81.83/100
  • Bachelor of Science in Chemistry, Thamar University, Yemen (2007)
    First Class with Distinction, Overall Average: 88.48/100
  • Diploma of UN Studies, Indian Federation of United Nations Associations (IFUNA), India (2015)
    First Division, Overall Average: 75%

💼 Professional Experience

  • Assistant Professor (Lecturer), Al-Baydha University, Yemen (2008–2012)
    Specialization in chemistry and laboratory management. Volunteered as a secondary school chemistry teacher and worked as a mobile technician for Yemen Telecom.
  • Chemistry Laboratory Specialist
    Managed and taught practical and theoretical aspects of chemistry.

🔍 Research Interests

  • Anti-Cancer Agents: Development of new phenoxy acetamide analogs for cancer treatment.
  • Biochemistry and Molecular Docking: Synthesis and analysis of anti-inflammatory drugs and their therapeutic potentials.
  • Chemical Synthesis and Characterization: Design-based synthesis of chemical compounds and their biological applications.

🏆 Achievements & Awards

Dr. Al-Ostoot has received numerous accolades, including a Rector Certificate for being the Top Student at Thamar University, certificates of excellence from Yemen’s President, and recognition from SRTM University. His scholarly contributions have been acknowledged with Elsevier Publication Recognition Certificates and awards for his role as a conference moderator and journal reviewer.

📚 Research Contributions & Publications

Dr. Al-Ostoot has made significant contributions to biochemistry, particularly in cancer research. With 50 publications to his name, he has authored 11 first-author papers and garnered 397 citations. Notable papers include studies on anti-cancer agents and anti-inflammatory drugs, published in high-impact journals like Pharmacological Reports and Journal of Molecular Structure.

📖 Publications

Structural and theoretical exploration of a multi-methoxy chalcone: Synthesis, quantum theory, electrostatics, molecular packing, DFT analysis, and in-silico anti-cancer evaluation
    • Authors: Fares Hezam Al-Ostoot, P. Akhileshwari, Vivek Hamse Kameshwar, D.V. Geetha, Majed S. Aljohani, Hussam Y. Alharbi, Shaukath Ara Khanum, M.A. Sridhar
    • Journal: Heliyon
    • Year: 2024
Synthesis, crystal structure, DFT, Hirshfeld surface analysis, energy frameworks and in-Silico drug-targeting PFKFB3 kinase of novel triazolequinoxalin derivative (TZQ) as a therapeutic Strategy against cancer
    • Authors: Nadeem Abad, Fares Hezam Al-Ostoot, Sajda Ashraf, Karim Chkirate, Majed S. Aljohani, Hussam Y. Alharbi, Shafeek Buhlak, Mohamed El Hafi, Luc Van Meervelt, Basheer M. Al-Maswari et al.
    • Journal: Heliyon
    • Year: 2023
Morphology effect on photocatalytic activity of self-doped ZnO nanoflowers
    • Authors: Salma Kouser, Abdo Hezam, K. Namratha, K. Byrappa, Shaukath Ara Khanum
    • Journal: Journal of the Iranian Chemical Society
    • Year: 2023
Exploring DSSC Efficiency Enhancement: SQI-F and SQI-Cl Dyes with Iodolyte Electrolytes and CDCA Optimization
    • Authors: Sultan A. Al-horaibi, Abdel-Basit Al-Odayni, Mohammed ALSaeedy, Fares Hezam Al-Ostoot, Adel Al-Salihy, Abdulmajeed Alezzy, Arwa Al-Adhreai, Faizaa A. Saif, Salama A. Yaseen, Waseem Sharaf Saeed
    • Journal: Molecules
    • Year: 2023
Metal oxide nanofillers induced changes in material properties and related applications of polymer composites
    • Authors: Murad Qassim Abdulraqeb Al-Gunaid, Gayitri Hebbur Maheshwarappa, Shashikala Badaga Shivanna, Mohammed Ali Hussein Dhaif-Allah, Waled Abdo Ahmed, Fares Hezam Al-Ostoot
    • Journal: European Journal of Chemistry
    • Year: 2023

Brian Katz | Virtual Reality Analytics | Best Researcher Award

Dr. Brian Katz | Virtual Reality Analytics | Best Researcher Award

Doctorate at CNRS/Sorbonne University, France

Profiles

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🔬 Research Director & Acoustics Specialist

Brian F.G. Katz is a distinguished research director at the Institut Jean Le Rond d’Alembert, Sorbonne Université, CNRS, specializing in room acoustics, spatial auditory perception, and 3D audio. With a rich academic background in Physics and Philosophy, he earned his Ph.D. in Acoustics from Penn State University and his HDR in Engineering Sciences from Université Pierre et Marie Curie.

📚 Project Coordinator & Principal Investigator

Brian coordinates several notable projects, including ANR-PHEND (The Past Has Ears at Notre-Dame), ANR-RASPUTIN (Room Acoustic Simulations for Perceptually Realistic Uses in Real-Time Immersive and Navigation Experiences), EU JPI-CH PHE (Past Has Ears), and the EU H2020 Sonicom project. He also leads the EVAA (Experimental Virtual Archaeological-Acoustics) project and has previously managed significant projects like ANR-ECHO and FUI-Bili.

🛠️ Professional Experience

Brian’s career spans several roles, including Research Director at Institut Jean Le Rond d’Alembert since 2021, Head of Audio & Acoustics Group at LIMSI-CNRS from 2015-2016, and Consultant for various acoustic firms such as Artec Consultants Inc. and ARUP & Partners. He has also held researcher positions at IRCAM and the Laboratoire d’Acoustique Musicale.

🏅 Distinctions & Awards

Brian has received prestigious awards for his contributions to the field, including the European Acoustics Association Award in 2008, Ergo’IHM Best Scientific Paper Award in 2012, EuroVR Best Scientific/Technical Paper Award in 2017, and the Journal of the Audio Engineering Society Best Paper Award in 2020.

📝 Editorial Activities

He serves as an associate editor for several journals, including the Journal of the Acoustical Society of America, Journal of Multimodal Interfaces, Virtual Worlds, Frontiers in Signal Processing, and Applied Sciences (Acoustics and Vibrations Section).

🌐 Society Affiliations

Brian is an active member of several professional societies, including the Acoustical Society of America (Fellow since 2018), Société Française d’Acoustique (Member of Musical Acoustics Committee 2007-2012), Audio Engineering Society, and the International Community on Auditory Display (Board Member 2015-2017).

📖 Publication

Boundary Element Method Calculation of Individual Head-Related Transfer Function. I. Rigid Model Calculation
    • Authors: BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 110
    • Issue: 5
    • Pages: 2440-2448
    • Year: 2001
Ecological Validity of Soundscape Reproduction
    • Authors: C Guastavino, BFG Katz, JD Polack, DJ Levitin, D Dubois
    • Journal: Acta Acustica united with Acustica
    • Volume: 91
    • Issue: 2
    • Pages: 333-341
    • Year: 2005
Perceptual Evaluation of Multi-Dimensional Spatial Audio Reproduction
    • Authors: C Guastavino, BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 116
    • Issue: 2
    • Pages: 1105-1115
    • Year: 2004
NAVIG: Augmented Reality Guidance System for the Visually Impaired
    • Authors: BFG Katz, S Kammoun, G Parseihian, O Gutierrez, A Brilhault, M Auvray, …
    • Journal: Virtual Reality
    • Volume: 16
    • Issue: 4
    • Pages: 253-269
    • Year: 2012
Exploration of Architectural Spaces by Blind People Using Auditory Virtual Reality for the Construction of Spatial Knowledge
    • Authors: L Picinali, A Afonso, M Denis, BFG Katz
    • Journal: International Journal of Human-Computer Studies
    • Volume: 72
    • Issue: 4
    • Pages: 393-407
    • Year: 2014
Boundary Element Method Calculation of Individual Head-Related Transfer Function. II. Impedance Effects and Comparisons to Real Measurements
    • Authors: BFG Katz
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 110
    • Issue: 5
    • Pages: 2449-2455
    • Year: 2001
A Comparative Study of Interaural Time Delay Estimation Methods
    • Authors: BFG Katz, M Noisternig
    • Journal: The Journal of the Acoustical Society of America
    • Volume: 135
    • Issue: 6
    • Pages: 3530-3540