Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

Ms. Natalia Herman-Sanchez | Bioinformatics | Young Scientist Award

University of Cordoba | Spain

PUBLICATION PROFILE

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πŸ‘©β€πŸ”¬ INTRODUCTION

Natalia HermΓ‘n-SΓ‘nchez is a talented pre-doctoral researcher at the University of CΓ³rdoba, Spain. She is dedicated to advancing biomedical research, particularly in the study of liver diseases and cancer. Through her work, HermΓ‘n-SΓ‘nchez is exploring vital molecular processes, such as RNA splicing and SUMOylation, which play key roles in liver cancer development. As an FPU grant recipient, her contributions are shaping the future of scientific research in this critical area.

πŸŽ“ EARLY ACADEMIC PURSUITS

Natalia’s academic journey began with a strong foundation in biochemistry at the University of CΓ³rdoba, where she earned her Bachelor’s degree in 2020. She then pursued a Master’s degree in Translational Biomedical Research, completed in 2021, and also obtained a diploma in Bioinformatics Analysis from the University Pablo de Olavide in 2024. These accomplishments laid the groundwork for her deep dive into the molecular biology of cancer and liver diseases.

πŸ§‘β€πŸ’Ό PROFESSIONAL ENDEAVORS

Since 2021, HermΓ‘n-SΓ‘nchez has been working as a pre-doctoral researcher at the University of CΓ³rdoba under the FPU grant program. Her professional focus has been centered on understanding liver diseases and hepatocellular carcinoma (HCC). She is specifically investigating the roles of RNA splicing factors and other molecular mechanisms involved in disease progression, with the aim of discovering novel biomarkers and therapeutic targets.

πŸ”¬ CONTRIBUTIONS AND RESEARCH FOCUS

HermΓ‘n-SΓ‘nchez’s research is at the forefront of liver disease and cancer research. She has contributed significantly to studies on RNA splicing, SUMOylation, and the post-transcriptional regulation of genes in liver cancer. Her work aims to uncover new diagnostic and prognostic markers, with several impactful publications in top-tier journals like Cell Reports and Experimental & Molecular Medicine. Through this research, she is shaping our understanding of liver cancer biology and offering potential pathways for clinical interventions.

🌍 IMPACT AND INFLUENCE

HermΓ‘n-SΓ‘nchez’s research is making waves in the scientific community, particularly in the study of liver cancer. Her work has been widely cited and has influenced ongoing research in cancer biology and liver diseases. By presenting her findings at major international conferences such as the European Association for the Study of the Liver (EASL), she is contributing to the global conversation on liver cancer and molecular oncology, solidifying her place as an emerging leader in the field.

πŸ“š ACADEMIC CITATIONS AND PUBLICATIONS

Natalia’s growing list of scientific publications reflects her significant contributions to the fields of hepatology and cancer research. Her research on RNA splicing factors in hepatocellular carcinoma has gained significant attention in the scientific community. These publications underscore her potential as a rising star in biomedical research, with a focus on advancing our understanding of cancer and chronic liver diseases.

πŸ… HONORS & AWARDS

Throughout her academic journey, HermΓ‘n-SΓ‘nchez has received recognition for her work, including invitations to present at prestigious scientific events. Her research has earned her several honors and awards, highlighting her potential as a future leader in biomedical research. Her presentations at conferences have been recognized for their scientific merit, showcasing her contributions to liver cancer research.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

As she continues her research, HermΓ‘n-SΓ‘nchez is poised to make lasting contributions to the field of biomedical science. Her exploration of molecular mechanisms in liver cancer holds the potential to uncover new therapeutic strategies and diagnostic tools, benefiting patients worldwide. Her continued dedication to understanding the biology of liver diseases ensures that her future work will have a profound impact on clinical practices and cancer treatment.

πŸ’¬ FINAL CONCLUSION

In summary, Natalia HermΓ‘n-SΓ‘nchez is a promising and impactful researcher whose work is helping to redefine our understanding of liver cancer and disease. Through her academic achievements, professional experience, and groundbreaking research, she is paving the way for new diagnostic and therapeutic approaches that could ultimately improve patient outcomes. HermΓ‘n-SΓ‘nchez’s future contributions to biomedical research and clinical medicine are poised to leave a lasting legacy in the fight against liver diseases and cancer.

Β πŸ“š TOP NOTES PUBLICATIONS

PRPF8 increases the aggressiveness of hepatocellular carcinoma by regulating FAK/AKT pathway via fibronectin 1 splicing
    • Authors: Juan L. LΓ³pez-CΓ‘novas, Natalia HermΓ‘n-SΓ‘nchez, Mercedes del Rio-Moreno, Antonio C. Fuentes-Fayos, Araceli Lara-LΓ³pez, Marina E. SΓ‘nchez-Frias, VΓ­ctor Amado, RubΓ©n Ciria, Javier BriceΓ±o, Manuel de la Mata et al.
    • Journal: Experimental & Molecular Medicine
    • Year: 2023-01-06
Spliceosomal profiling identifies EIF4A3 as a novel oncogene in hepatocellular carcinoma acting through the modulation of FGFR4 splicing
    • Authors: Juan L. LΓ³pez‐CΓ‘novas, Natalia HermΓ‘n‐SΓ‘nchez, Maria Trinidad Moreno‐Montilla, Mercedes del Rio‐Moreno, Emilia Alors‐Perez, Marina E. SΓ‘nchez‐Frias, VΓ­ctor Amado, RubΓ©n Ciria, Javier BriceΓ±o, Manuel de la Mata et al.
    • Journal: Clinical and Translational Medicine
    • Year: 2022-11
Multidisciplinary Prehabilitation and Postoperative Rehabilitation for Avoiding Complications in Patients Undergoing Resection of Colon Cancer: Rationale, Design, and Methodology of the ONCOFIT Study
    • Authors: Amaro-Gahete, FJ, Javier Jurado, Andrea Cisneros, Pablo Corres, Andres Marmol-Perez, Francisco J. Osuna-Prieto, Manuel FernΓ‘ndez-Escabias, Estela Salcedo, Natalia HermΓ‘n-SΓ‘nchez, Manuel D. Gahete et al.
    • Journal: Nutrients
    • Year: 2022-11-03
Dysregulation of splicing variants and spliceosome components in breast cancer
    • Authors: Manuel D Gahete, Natalia Herman-Sanchez, Antonio C Fuentes-Fayos, Juan L Lopez-Canovas, RaΓΊl M Luque
    • Journal: Endocrine-Related Cancer
    • Year: 2022-09-01
Morphofunctional and Molecular Assessment of Nutritional Status in Head and Neck Cancer Patients Undergoing Systemic Treatment: Role of Inflammasome in Clinical Nutrition
    • Authors: Soraya LeΓ³n-Idougourram, JesΓΊs M. PΓ©rez-GΓ³mez, ConcepciΓ³n MuΓ±oz JimΓ©nez, Fernando L-LΓ³pez, Gregorio Manzano GarcΓ­a, MarΓ­a JosΓ© Molina Puertas, Natalia Herman-SΓ‘nchez, Rosario Alonso-Echague, Alfonso CalaΓ±as Continente, MarΓ­a Ángeles GΓ‘lvez Moreno et al.
    • Journal: Cancers
    • Year: 2022-01-19

Naiwei Lu | Data Analysis | Best Researcher Award

Assoc Prof Dr. Naiwei Lu | Data Analysis | Best Researcher Award

Changsha University of Science of Technology, China

Author Profiles

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Research Gate

πŸ‘¨β€πŸ« Associate Prof. Dr. Naiwei Lu

Assoc. Prof. Dr. Naiwei Lu is an Associate Professor in Civil Engineering at Changsha University of Science and Technology (CSUST), China. His research primarily focuses on reliability and safety in bridge engineering. He has a strong background in system reliability evaluation, fatigue analysis, and structural health monitoring, which he applies to the engineering and maintenance of long-span bridges. Dr. Lu is an active member of various international research communities and has been involved in multiple national and international projects.

πŸŽ“ Education Background

Dr. Naiwei Lu earned his Ph.D. in Civil Engineering from Changsha University of Science and Technology (CSUST) in 2015, under the supervision of Prof. Yang Liu. Prior to that, he completed his Master’s degree in Civil Engineering in 2011 and his Bachelor’s degree in Bridge Engineering in 2008, all at CSUST, Changsha, China. His academic journey laid a strong foundation for his expertise in bridge engineering and reliability analysis.

πŸ’Ό Employment and Research Experience

Dr. Lu’s academic career began in 2015 when he became a Postdoctoral Researcher at Southeast University in Nanjing, China, where he worked under Prof. Mohammad Noori. He also held a Postdoctoral Researcher position at Leibniz University Hannover, Germany, working with Prof. Michael Beer. Since 2020, Dr. Lu has been serving as an Associate Professor at CSUST, where he also previously worked as a Lecturer from 2017 to 2019. His diverse academic and international experiences contribute to his deep expertise in bridge engineering.

πŸ’° Research Funding

Dr. Lu has been the Principal Investigator (PI) of several funded research projects, including the National Science Funding in China for research on structural health monitoring of suspension bridges and the fatigue reliability evaluation of steel bridge decks. He has received significant funding support for his work in system reliability and dynamic analysis, with total funding exceeding Β₯1 million for his various research initiatives. These projects aim to develop advanced methods for assessing the reliability and safety of long-span bridges.

πŸ” Research Interests

Dr. Lu’s research spans several cutting-edge topics in structural engineering. His main research interests include system reliability evaluation of long-span bridges using intelligent algorithms πŸ€–, fatigue reliability of stay cables and orthotropic steel bridge decks πŸŒ‰, and probabilistic modeling using data from structural health monitoring πŸ“Š. He is also focused on intelligent maintenance and management of in-service bridges βš™οΈ, as well as uncertainty quantification in structural engineering πŸ› οΈ.

πŸ“š Teaching Experience

As an educator, Dr. Lu teaches undergraduate courses such as Principle of Structural Design (in both Chinese and English) and Building Information Modeling (BIM) Technology (in Chinese). He has supervised 24 undergraduate students and 4 postgraduate students between 2017 and 2020, guiding them in various aspects of civil engineering, particularly related to bridge design, maintenance, and reliability.

πŸ—οΈ Engineering Activities

In addition to his academic role, Dr. Lu is a Registered Construction Engineer and a Registered Inspection Engineer in Municipal Engineering and Bridge & Tunnel Engineering, respectively. His engineering activities include overseeing the structural safety of long-span bridges during construction πŸ—οΈ, conducting structural health monitoring of suspension bridges πŸŒ‰, and contributing to the detection and reinforcement of aging bridges πŸ› οΈ. He has also been involved in the advance geological forecasting and monitoring of tunnels during construction, working on over five extra-long tunnels.

Dr. Naiwei Lu’s work integrates advanced intelligent algorithms, data-driven methods, and structural health monitoring to enhance the safety, reliability, and longevity of bridges and infrastructure systems. His research and engineering expertise continue to make significant contributions to the field of civil engineering.

πŸ“–Top Noted PublicationsΒ 

Structural damage diagnosis of a cable-stayed bridge based on VGG-19 networks and Markov transition field: numerical and experimental study

Authors: Naiwei Lu, Zengyifan Liu, Jian Cui, Lian Hu, Xiangyuan Xiao, Yiru Liu

Journal: Smart Materials and Structures

Year: 2025

Coupling effect of cracks and pore defects on fatigue performance of U-rib welds

Authors: Yuan Luo, Xiaofan Liu, Fanghuai Chen, Haiping Zhang, Xinhui Xiao, Naiwei Lu

Journal: Structures

Year: 2025

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

Authors: Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

Journal: Sensors

Year: 2024

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen

Journal: Sensors

Year: 2024

Experimental and numerical investigation on penetrating cracks growth of rib-to-deck welded connections in orthotropic steel bridge decks

Authors: Zitong Wang, Jun He, Naiwei Lu, Yang Liu, Xinfeng Yin, Haohui Xin

Journal: Structures

Year: 2024

Fatigue Reliability Assessment for Orthotropic Steel Decks: Considering Multicrack Coupling Effects

Authors: Jing Liu, Yang Liu, Guodong Wang, Naiwei Lu, Jian Cui, Honghao Wang

Journal: Metals

Year: 2024

Jiao Kai | Data Science | Best Researcher Award

Prof Dr. Jiao Kai | Data Science | Best Researcher Award

Department of Stomatology, Tangdu Hospital, China

Author Profile

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πŸ‘¨β€βš•οΈ Prof. Dr. Jiao Kai - A Leading Expert In Stomatology

Early Academic Pursuits πŸŽ“

Prof. Dr. Jiao Kai’s academic journey in stomatology began with a deep commitment to the field. He pursued higher education, ultimately becoming a doctoral supervisor. His early research laid the groundwork for his future breakthroughs, with a focus on oral medicine and temporomandibular joint disorders. Through rigorous training, he became an expert in the intricacies of oral health, reconstructive techniques, and joint disorders, propelling his career to new heights.

Professional Endeavors πŸ’Ό

Currently, Prof. Dr. Jiao serves as the Director of the Department of Stomatology at Tangdu Hospital, Air Force Medical University. His role encompasses both clinical practice and leading research initiatives. In addition, he is the Branch Secretary and Director of the Oral Medicine Teaching and Research Section. As a Doctoral Supervisor and member of various esteemed professional organizations, his influence spans across national and international levels.

Contributions and Research Focus πŸ”¬

Prof. Dr. Jiao’s research primarily targets the prevention, treatment, and regenerative reconstruction of temporomandibular joint disorders. Leading numerous high-level research projects, his groundbreaking work in regenerative techniques has advanced the understanding and treatment of joint disorders, focusing on enhancing patient outcomes. His contributions have garnered numerous awards and recognition for scientific progress in stomatology.

Impact and Influence 🌍

Prof. Dr. Jiao has left a significant mark on the field, with his research being cited over 3,200 times globally. He has earned recognition as a scientist in the top 2% worldwide. His work has shaped clinical practices and continues to influence stomatology, earning him a reputation as a global leader in his field. He is also a sought-after reviewer and editor for numerous prestigious journals.

Academic Cites πŸ“š

Over the last five years, Prof. Dr. Jiao’s research has been cited more than 3,200 times, with over 20 of his papers having an impact factor (IF) greater than 10. His extensive body of work has set new benchmarks in oral medicine, influencing clinical practices and advancing the understanding of temporomandibular joint disorders.

Legacy and Future Contributions 🌱

Prof. Dr. Jiao’s legacy is rooted in innovation, mentorship, and exceptional research. His groundbreaking studies and pioneering therapeutic techniques have solidified his position as a global leader in stomatology. Committed to advancing temporomandibular joint disorder research, he remains dedicated to the development of regenerative treatments and fostering international collaborations for future advancements.

Awards and Recognitions πŸ†

Prof. Dr. Jiao has received multiple accolades, including the prestigious First Prize from the Chinese Stomatological Association and for Scientific Progress in Shaanxi Province. He has been recognized as a Young Top Talent of the National "Ten Thousand Talents Program" and a Distinguished Young Scholar in Shaanxi Province for his outstanding contributions to research and innovation.

Patents and Technology Transfer πŸ› οΈ

Prof. Dr. Jiao has contributed significantly to applied science, holding 29 invention patents, with 16 attributed to him as the primary inventor. His patents have led to the commercialization of advanced technologies, contributing to the academic and industrial sectors with a total transfer value exceeding 10 million yuan.

Collaborations and Professional Memberships 🀝

Prof. Dr. Jiao’s collaborations with global experts such as Professor Xu Cao (Johns Hopkins University) and Professor Jiang Chang (Chinese Academy of Sciences) have enhanced his international influence. He holds leadership positions in several national and regional scientific organizations, including the Shaanxi Provincial Stomatological Association and the Shaanxi Oral Physicians Association, contributing to the progress of the field.

Books Published and Editorial Appointments πŸ“–

Prof. Dr. Jiao has actively contributed to academic literature, participating in the compilation and translation of 12 books, and serving as the chief editor for four of them. His editorial roles in national and international journals reflect his dedication to advancing knowledge in the field of stomatology.

Areas of Research πŸ”

His ongoing research focuses on the prevention, treatment, and regenerative regeneration of temporomandibular joint disorders, striving to develop innovative therapies that improve patient care and outcomes globally. His work continues to shape the future of stomatology and has made a lasting impact on medical practices worldwide.

Top Noted Publications πŸ“–

Pathological mechanism of chondrocytes and the surrounding environment during osteoarthritis of temporomandibular joint

Authors: Li B, Guan G, Mei L, Jiao K, Li H

Journal: Journal of Cellular and Molecular Medicine

Year: 2021

Crosstalk between Bone and Nerves within Bone

Authors: Wan QQ, Qin WP, Ma YX, Shen MJ, Li J, Zhang ZB, Chen JH, Tay FR, Niu LN, Jiao K

Journal: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

Year: 2021

Matrix stiffening by self-mineralizable guided bone regeneration

Authors: Li J, Yan JF, Wan QQ, Shen MJ, Ma YX, Gu JT, Gao P, Tang XY, Yu F, Chen JH et al.

Journal: Acta Biomaterialia

Year: 2021

miR-200-3p suppresses cell proliferation and reduces apoptosis in diabetic retinopathy via blocking the TGF-Ξ²2/Smad pathway

Authors: Xue L, Xiong C, Li J, Ren Y, Zhang L, Jiao K, Chen C, Ding P

Journal: Bioscience Reports

Year: 2020

The 14-3-3Ξ·/GSK-3Ξ²/Ξ²-catenin complex regulates EndMT induced by 27-hydroxycholesterol in HUVECs and promotes the migration of breast cancer cells.

Authors: Zhen J, Jiao K, Yang K, Wu M, Zhou Q, Yang B, Xiao W, Hu C, Zhou M, Li Z

Journal: Cell Biology and Toxicology

Year: 2020

Haixia Mao | Data Science | Best Researcher Award

Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

πŸ‘¨β€πŸŽ“Professional Profile

Scopus Profile

πŸ‘©β€πŸ« 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.

πŸŽ“ 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.

πŸ’Ό 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.

πŸ“š 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.

πŸ… 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.

πŸ’» 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.

πŸ“š 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.

 

πŸ“–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

Β 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