Mrs. Yulia Desheva | Immunology Award | Best Researcher Award

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Mrs. Yulia Desheva | Immunology Award | Best Researcher Award

Mrs. Yulia Desheva, Institute of Experimental Medicine, Russia

Yulia Desheva is a researcher affiliated with St. Petersburg State University, specializing in immunology and vaccine development. She has made significant contributions to the field, particularly in the study of immune responses to viral infections and the development of probiotic-based vaccines. With a Web of Science ResearcherID of I-1493-2013 and an ORCiD of 0000-0001-9794-3520, her research is well-documented, showcasing an impressive H-index of 55. Over her career, Yulia has published 37 papers, accumulating a total of 847 citations, highlighting her impact in scientific literature. Recent publications include work on SARS-CoV-2 vaccination strategies and influenza virus immunology, reflecting her commitment to advancing public health through innovative research.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Yulia Desheva

Yulia Desheva is an exemplary candidate for the Best Researcher Award due to her significant contributions to the field of immunology and vaccine development. Affiliated with St. Petersburg State University, her research has yielded an impressive publication record, including 37 total publications with an H-index of 55, reflecting her impactful contributions and recognition by peers.

šŸŽ“ Education

  • Ph.D. in Biological Sciences
    St. Petersburg State University
    Masterā€™s Degree in Microbiology
    Bachelorā€™s Degree in Biology

šŸ”¬ Research Focus

Yulia Desheva specializes in the development of oral probiotic vaccines, immunogenic responses, and antibody analysis related to viral infections such as SARS-CoV-2 and influenza. Her innovative research is crucial for understanding immune responses and improving vaccine efficacy.

šŸ† Achievements

  • Significant contributions to the fields of microbiology and immunology through published research.
  • Engaged in high-impact studies on vaccine development and immune response analysis.

šŸŒŸ Key Areas of Interest

  • Probiotic-based vaccines
  • Immune response mechanisms
  • Viral infections and vaccine development
  • Antibody analysis in infectious diseases

Publication top Notes:

Immune response and laboratory markers in the spectrum of severity of COVID-19

Exploring Immune Response and Lab Markers Across COVID-19 Severity Levels

Evaluation of Immune Response to Mucosal Immunization with an Oral Probiotic-Based Vaccine in Mice: Potential for Prime-Boost Immunization against SARS-CoV-2

Longitudinal Analysis of Neuraminidase and Hemagglutinin Antibodies to Influenza A Viruses after Immunization with Seasonal Inactivated Influenza Vaccines

SARS-CoV-2 Spike Protein-Expressing Enterococcus for Oral Vaccination: Immunogenicity and Protection

Assoc Prof Dr. Xu-Hui Li | Immunology Award | Best Researcher Award

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Assoc Prof Dr. Xu-Hui Li | Immunology Award | Best Researcher Award

Assoc Prof Dr. Xu-Hui Li, Xiā€™an Jiaotong University, China

Dr. Xu-Hui Li is an Associate Professor of Neurobiology at Xi’an Jiaotong University in China. He earned his B.A. in Bioengineering from Northwest A&F University, his M.S. in Physiology from Lanzhou University, and his Ph.D. in Neurobiology from Xi’an Jiaotong University under the mentorship of Prof. Min Zhuo. Dr. Li’s research focuses on the central regulatory mechanisms of chronic pain, negative emotions, and synaptic plasticity in brain diseases. His work, published in prominent journals such as Advanced Science and Cell Reports, has garnered over 1,400 citations. Dr. Li has led seven research projects, including those funded by the National Natural Science Foundation of China, and serves as a reviewer for several international neuroscience journals. He completed postdoctoral training at both Xi’an Jiaotong University and the University of Toronto.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Xu-Hui Li is a distinguished associate professor of neurobiology at Xi’an Jiaotong University with an exceptional academic and research background, making him a strong contender for the Best Researcher Award.

Education Background:

  • Ph.D. in Neurobiology (September 2014 ā€“ March 2019)
    Xi’an Jiaotong University, Shaanxi, China
    Supervisor: Dr. Min Zhuo
  • Ph.D. (Visiting Student) (March 2017 ā€“ May 2018)
    Department of Physiology, University of Toronto, Ontario, Canada
    Supervisor: Dr. Min Zhuo
  • M.S. in Physiology (September 2011 ā€“ July 2014)
    Lanzhou University, Gansu, China
    Supervisor: Dr. Quan Fang
  • B.S. in Bioengineering (September 2007 ā€“ July 2011)
    Northwest A&F University, Shaanxi, China

Work Experience:

  • Associate Professor (March 2022 ā€“ Present)
    Xi’an Jiaotong University, Shaanxi, China
  • Postdoctoral Fellow (August 2019 ā€“ July 2020)
    University of Toronto, Ontario, Canada
    Supervisor: Dr. Min Zhuo
  • Postdoctoral Fellow (May 2019 ā€“ February 2022)
    Xi’an Jiaotong University, Shaanxi, China
    Supervisor: Dr. Min Zhuo

Publication top Notes:

Increased GluK1 Subunit Receptors in Corticostriatal Projection from the Anterior Cingulate Cortex Contributed to Seizureā€Like Activities

Enhanced long-term potentiation in the anterior cingulate cortex of tree shrew

Correction: Increased gene dosage of RFWD2 causes autistic-like behaviors and aberrant synaptic formation and function in mice

Activation of 5-HT5A receptor in the ventrolateral orbital cortex produces antinociceptive effects in rat models of neuropathic and inflammatory pain

Increased gene dosage of RFWD2 causes autistic-like behaviors and aberrant synaptic formation and function in mice

Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award

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Prof. Shing-Hong Liu | Biomedical Award | Best Researcher AwardĀ 

Prof. Shing-Hong Liu, Chaoyang University of Technology, Taiwan

Shing-Hong Liu is an esteemed academic and researcher in the field of biomedical engineering and computer science. He obtained his B.S. degree in Electronic Engineering from Feng-Jia University, Taiwan, in 1990, followed by an M.S. degree in Biomedical Engineering from National Cheng-Kung University in 1992. In 2002, he earned his Ph.D. from the Department of Electrical and Control Engineering at National Chiao-Tung University, Taiwan. Since August 1994, Dr. Liu has been actively involved in academia, initially as a Lecturer in the Department of Biomedical Engineering at Yuanpei University, Taiwan. He progressed to become an Associate Professor from 2002 to 2008. Currently, he holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering at Chaoyang University of Technology. Dr. Liu’s research focuses on biomedical signal processing, artificial intelligence applications in mobile health (mHealth), and the design of biomedical instruments. He has been recognized for his contributions, being named one of the World’s Top 2% Scientists in 2020. His research projects have received substantial funding, totaling NT$36,329,914, and he has authored 59 papers in SCI journals.

 

Professional Profile:

ORCID

 

Education:

  • B.S. in Electronic Engineering
    • Feng-Jia University, Taizhong, Taiwan, R.O.C.
    • Year of Completion: 1990
  • M.S. in Biomedical Engineering
    • National Cheng-Kung University, Tainan, Taiwan, R.O.C.
    • Year of Completion: 1992
  • Ph.D. in Electrical and Control Engineering
    • National Chiao-Tung University, Hsinchu, Taiwan, R.O.C.
    • Year of Completion: 2002

Work Experience:

  • Lecturer
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • August 1994 – 2002
  • Associate Professor
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • 2002 – 2008
  • Distinguished Professor
    • Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taiwan, R.O.C.
    • 2020 – Present

Achievements:

Shing-Hong Liu has been recognized as one of the Worldā€™s Top 2% Scientists in 2020. His research interests focus on biomedical signal processing, artificial intelligence for mHealth applications, and the design of biomedical instruments. He has successfully led projects with a total budget of NT 36,329,914 and has published 59 papers in SCI journals.

Publication top Notes:

Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data

Estimation of Gait Parameters for Adults with Surface Electromyogram Based on Machine Learning Models

A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

A Wearable Assistant Device for Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing