Prof. Xiaohua Lei | Oxidative Damage | Best Researcher Award

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Prof. Xiaohua Lei | Oxidative Damage | Best Researcher Award

Prof. Xiaohua Lei, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Xiaohua Lei is a Professor at the Institutes of Shenzhen Advanced Technology, Chinese Academy of Sciences (CAS), and a prominent member of the Chinese Space Life Professional Committee as well as a workgroup of the China National Standardization Technical Committee in Space Science and Utilization. He holds a Ph.D. in Physiology from China Agricultural University. Dr. Lei was selected as a CAS Key Technology Talent in 2018 and was honored as one of the young space scientists by the National Space Science Center of the Chinese Academy of Sciences and the Space Studies Board of the U.S. National Academies of Sciences, Engineering, and Medicine, participating in the 2016-17 Forum for New Leaders in Space Science. His research interests primarily focus on space life science, particularly exploring how space environments affect stem cell proliferation and differentiation. Dr. Lei has published over 50 peer-reviewed articles in renowned journals, such as National Science Review, Protein & Cell, Cell Proliferation, Nature Communications, and others. He has also earned several academic awards and holds multiple invention patents. His lab aims to advance our understanding of early mammalian development under microgravity, radiation, and hypomagnetic fields, utilizing human or mouse stem cells, mouse embryos, and transgenic mouse models.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Dr. Xiaohua Lei

Dr. Xiaohua Lei is a highly accomplished researcher and an exemplary candidate for the Best Researcher Award due to his substantial contributions to Space Life Science and his innovative work on understanding the effects of space environments on biological systems. His research on stem cell proliferation, differentiation, and early mammalian development under extreme space conditions, including microgravity, radiation, and hypomagnetic fields, has made significant strides in the field.

Education:

  • Ph.D. in Physiology, China Agricultural University 🎓

Work Experience:

  • Professor, Institutes of Shenzhen Advanced Technology, Chinese Academy of Sciences (CAS) 👨‍🏫

  • Member, Chinese Space Life Professional Committee 🌌

  • Member, Workgroup of China National Standardization Technical Committee in Space Science and Utilization 🚀

Achievements:

  • Published over 50 peer-reviewed articles in prestigious journals, including National Science Review, Protein & Cell, Cell Proliferation, Nature Communications, and more 📚

  • Invention patents in the field of space life science 🛠️

  • Research Focus: The effects of space environments on stem cell proliferation and differentiation, and early mammalian development under conditions like microgravity, radiation, and hypomagnetic fields 🔬

Awards & Honors:

  • CAS Key Technology Talent (2018) 🏆

  • Selected as one of the Young Space Scientists by the National Space Science Center (CAS) and Space Studies Board of U.S. National Academies 🌠

  • Forum for New Leaders in Space Science (2016-17) participant 🎖️

Publication Top Notes:

Oxidative Damage Under Microgravity Conditions: Response Mechanisms, Monitoring Methods and Countermeasures on Somatic and Germ Cells

mTOR hypoactivity leads to trophectoderm cell failure by enhancing lysosomal activation and disrupting the cytoskeleton in preimplantation embryo

Stem Cells and Exosome Applications for Cutaneous Wound Healing: From Ground to Microgravity Environment

Melatonin ameliorates simulated‐microgravity‐induced mitochondrial dysfunction and lipid metabolism dysregulation in hepatocytes

Radiotherapy Side Effects: Comprehensive Proteomic Study Unraveled Neural Stem Cell Degenerative Differentiation upon Ionizing Radiation

Synthetic Extracellular Matrices for 3D Culture of Schwann Cells, Hepatocytes, and HUVECs

An Antagonistic Peptide of Gpr1 Ameliorates LPS-Induced Depression through the Hypothalamic-Pituitary-Ovarian Axis

The Determinant of DNA Repair Pathway Choices in Ionising Radiation‐Induced DNA Double‐Strand Breaks

 

 

Prof. Sadegh Alijani | Genetics | Best Researcher Award

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Prof. Sadegh Alijani | Genetics | Best Researcher Award 

Prof. Sadegh Alijani, University of Tabriz, Iran

Sadegh Alijani is an Iranian professor specializing in animal breeding, genetics, and statistical methods in livestock science. He earned his B.Sc. in Animal Science from the University of Shahid Chamran, followed by an M.Sc. in Animal Breeding and Genetics from the University of Tabriz, and a Ph.D. from the University of Tehran, consistently ranking first in his academic programs. Dr. Alijani has extensive teaching experience at the University of Tabriz, where he has lectured on subjects ranging from genetics and statistics to experimental design and advanced statistical methods across undergraduate, master’s, and doctoral levels. His research focuses on the application of Bayesian statistics, genetic markers, and molecular genetics in animal breeding. He has served in administrative roles, including Deputy of the Khalat Poushan Research Station and Head of the Central Laboratory at the Faculty of Agriculture. With a strong publication record in peer-reviewed journals and a history of supervising numerous M.Sc. theses, Dr. Alijani continues to contribute significantly to the fields of animal genetics and statistical modeling.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

🏆 Summary of Suitability for the Best Researcher Award 

Prof. Sadegh Alijani is an exemplary candidate for the Best Researcher Award based on his exceptional academic achievements, sustained research output, and impactful teaching and leadership roles over more than two decades in the field of animal breeding, molecular genetics, and statistical methods.

🎓 Educational Background

  • B.Sc. in Animal Science
    📍 University of Shahid Chamran – 1992
    🏅 Rank: 1st

  • M.Sc. in Animal Breeding and Genetics
    📍 University of Tabriz – 1997
    🏅 Rank: 1st
    📘 Thesis: “Efficiency of advanced statistical methods in animal breeding and genetics and their application in breeding of native Turkey of Azarbaijan”

  • Ph.D. in Animal Breeding and Genetics
    📍 University of Tehran – 2009
    🏅 Rank: 1st
    📘 Thesis: “Major genes detection in farm animals using Bayesian statistical methods and genetic markers”

👨‍🏫 Teaching Experience

  • 🧮 Application of statistics in animal breeding (M.Sc.) — 2003–Present

  • 📊 Advanced statistical methods (SAS) (M.Sc.) — 1999–Present

  • 🧬 Genetics (B.Sc.) — 2000–Present

  • 🎲 Statistics and probability (B.Sc.) — 1999–Present

  • 🧪 Experimental design in animal science (B.Sc.) — 2004–Present

  • 🐔 Poultry breeding (B.Sc.) — 1999–Present

  • 📉 Estimation of variance–covariance (Ph.D.) — 2012–Present

  • 📈 Linear model in animal breeding (Ph.D.) — 2012–Present

🏢 Academic and Administrative Positions

  • Lecturer (1999–2003)

  • Assistant Professor (2003–2013)

  • Associate Professor (2013–2021)

  • Professor (2021–Present)
    📍 University of Tabriz

  • 🧪 Deputy of Research Station, Faculty of Agriculture – 1999–2000

  • 🧫 Head of Central Laboratory, Faculty of Agriculture – 2011–2014

🧑‍🎓 Graduate Supervision 

  1. 🐮 Genetic parameters in Sarabi cattle

  2. 🧬 Kappa casein polymorphism in Holstein & native cattle

  3. 🌡️ Heat stress impact on broilers

  4. 🐑 Growth traits in Lori sheep

  5. 🍗 Broiler performance with different fat sources

  6. 🐥 Cottonseed meal in broiler diet

  7. 🧵 Fleece characteristics in hybrid sheep

  8. 🩸 Vitamin supplementation effects in calves

  9. 🐄 Genetic potential via test-day records (Zanjan Univ.)

  10. 🍼 Lactation curve studies (Zanjan Univ.)

🏆 Achievements & Honors

  • 📚 Ranked 1st in B.Sc., M.Sc., and Ph.D. studies

  • 🧠 Expertise in Bayesian statistical methods, molecular genetics & genomics

  • ✍️ Published over 15+ research papers in international journals

  • 💻 Specialized in SAS software and advanced modeling

  • 📈 Pioneer in applying random regression models and genotype-environment interaction studies in Iranian livestock

  • 🎓 Active mentor for M.Sc. and Ph.D. students in animal breeding

Publication Top Notes:

Application of a random forest algorithm to estimate marker effects and identify candidate genes for reproductive traits in Iranian Holstein dairy cattle

Effect of Dietary Amaranth (Amaranthus hybridus chlorostachys) Supplemented with Enzyme Blend on Egg Quality, Serum Biochemistry and Antioxidant Status in Laying Hens

Searching for Possible Association between Six Microsatellite Markers and Suppression of Mite Reproduction (SMR) Trait in Honey Bees

Genomic Selection Signatures in Two French and Swedish Holstein Cattle Breeds Provide Evidence for Several Potential Candidate Genes Linked to Economic Traits

Molecular Screening of Varroa-Resistant Trait of Honey Bee Colonies based on NorpA2 Candidate Gene Polymorphism: A Genetic Case-Control Study

Supplementation of broiler chicken diets with bovine lactoferrin improves growth performance, histological parameters of jejunum and immune-related gene expression

 

Dr. wanneng wu | Target Identification | Best Researcher Award

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Dr. wanneng wu | Target Identification | Best Researcher Award

Dr. wanneng wu, Changsha Universtiy of Science and Technology, China

Dr. Wanneng Wu is a Lecturer in the School of Electrical and Information Engineering at Changsha University of Science and Technology, China. He holds a Ph.D. in Control Science and Engineering from Hunan University, where he also completed his Master’s studies. Dr. Wu has a diverse academic background, including a Bachelor’s degree in Mechanical Design-Manufacture and Automation from Yangtze University and a visiting research position at the University of Technology Sydney in Computer Science. His research focuses on advanced topics in robot perception, including force sensor design, robot vision perception, and control technology, as well as computer vision applications such as object detection, tracking, and event understanding. Since joining Changsha University of Science and Technology in 2021, Dr. Wu has been contributing to the field of Control Science and Engineering through both teaching and research.

Professional Profile:

 

Summary of Suitability for Best Researcher Award:

Dr. Wanneng Wu, currently a Lecturer at the School of Electrical and Information Engineering, Changsha University of Science and Technology, has a strong academic and research background that makes him a suitable candidate for the Best Researcher Award. His educational journey includes a Bachelor’s in Mechanical Design-Manufacture and Automation from Yangtze University, an MS and PhD in Control Science and Engineering from Hunan University, and valuable research experience as a visiting research student at the University of Technology Sydney.

Education:

  1. Bachelor of Engineering in Mechanical Design-Manufacture and Automation
    • Institution: School of Mechanical Engineering, Yangtze University, China
    • Period: September 2005 – June 2009
  2. Master’s and Ph.D. in Control Science and Engineering
    • Institution: College of Electric and Information Technology, Hunan University, China
    • Period: July 2014 – December 2020
  3. Visiting Research Student in Computer Science
    • Institution: Faculty of Engineering and Information Technology, University of Technology Sydney, Australia
    • Period: October 2017 – May 2019

Work Experience:

  1. Lecturer in Control Science and Engineering
    • Institution: Changsha University of Science and Technology
    • Period: January 2021 – Present

Publication top Notes:

A Robust Pointer Meter Reading Recognition Method Based on TransUNet and Perspective Transformation Correction

EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

 

 

 

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

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

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 World’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