Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award

Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award 

Ms. Soree Hwang, Korea Institute of Science and Technology (KIST), South Korea

So Ree Hwang is a dedicated researcher in the field of biomedical engineering currently pursuing her Ph.D. at Korea University. She holds a Master’s degree in Design and Engineering from Seoul National University of Science and Technology and a Bachelor’s degree in Mechanical Engineering from Korea Aerospace University. Since May 2022, she has been a student researcher at the Korea Institute of Science and Technology (KIST), where she contributes to the development of AI-based health management platforms, including lifelog acquisition systems and fatigue and stress detection technologies. Her research also focuses on gait analysis and stroke assessment using motion signal processing and wearable devices. So Ree has published numerous papers as a main and co-author in reputable journals such as Sensors, Frontiers in Human Neuroscience, and IEEE journals. Her work integrates machine learning and biomedical signal analysis to advance rehabilitation technologies and health monitoring systems.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – So Ree Hwang

Dr. So Ree Hwang is a highly suitable candidate for the Best Researcher Award in the domain of health monitoring and biomedical engineering, with a strong multidisciplinary background and an impressive portfolio of impactful, AI-integrated sensor-based research.

🎓 Education

  • Ph.D. in Biomedical Engineering
    Korea University, Seoul, Republic of Korea (2021 – Present)

  • M.S. in Design and Engineering
    Seoul National University of Science and Technology, Seoul, Republic of Korea (2018 – 2020)

  • B.S. in Mechanical Engineering
    Korea Aerospace University, Goyang-si, Republic of Korea (2011 – 2017)

💼 Work Experience

  • Student ResearcherKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2022.05.01 – Present)

    • 🧠 Developed a lifelog system and AI-based fatigue/stress management platform

    • 🚶‍♂️ Contributed to gait analysis tech for knee disorder recovery

    • 🧪 Worked on motion signal-based stroke assessment technologies

  • Research InternKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2020.03.01 – 2021.12.31)

    • 🧠 Focused on stroke assessment using motion signal analysis

🏆 Achievements & Research Contributions

  • 📝 8 SCI-indexed papers as main or co-author, including in top journals like Sensors, Frontiers in Human Neuroscience, and IEEE

    • 📊 Topics: Gait phase classification, stroke severity assessment, fatigue detection using AI, wearable systems

  • ⚙️ First-author of applied engineering papers on 3D printing and IMU validation

  • 🤖 Integrated machine learning models (CNN-LSTM-Attention, RNNs) into biomedical signal analysis

  • 🧩 Contributed to the advancement of intelligent health monitoring and gait recovery systems

Publication Top Notes:

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Prof. Sadegh Alijani | Genetics | Best Researcher Award

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

 

Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

Assist. Prof. Dr. Jing-Da Qiao, Guangzhou Medical University, China

Jingda Qiao is a dedicated biomedical researcher with a multidisciplinary background in pharmaceutical engineering, neuroscience, and biomedical science. He holds a Bachelor’s degree in Pharmaceutical Engineering from Guangzhou University of Chinese Medicine, a Master’s degree in Neuroscience from Zhongshan School of Medicine at Sun Yat-sen University under the supervision of Prof. Huaiyu Gu, and a Ph.D. in Biomedical Science from The Chinese University of Hong Kong, mentored by Professors Wing-Ho Yung and Ya Ke. Jingda’s research focuses on the pathogenesis and treatment of neurodevelopmental disorders, combining genome-wide sequencing with transgenic animal models such as mice and Drosophila to investigate novel disease-related genes. He is also actively engaged in exploring the mechanisms of learning, memory, and neural plasticity using electrophysiology, live imaging, and behavioral analysis. His technical expertise spans electrophysiology, molecular biology, behavioral neuroscience, and analytical chemistry. Recognized for his academic excellence, Jingda has received prestigious honors including the Guangdong Overseas Postdoctoral Fellowship and selection as a Young Talent under Guangzhou’s Senior Ranking Personnel Program.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award 

Dr. Jingda Qiao is a multidisciplinary biomedical scientist with strong academic foundations and hands-on expertise in neuroscience, biomedical science, and analytical chemistry. With advanced training across prestigious institutions in China and Hong Kong, his work bridges molecular, cellular, and behavioral neuroscience—making him a highly suitable candidate for the Best Researcher Award.

🎓 Education

  • 🧪 Bachelor of Engineering
    Major: Pharmaceutical Engineering
    Institution: Guangzhou University of Chinese Medicine

  • 🧠 Master of Science
    Major: Neuroscience
    Institution: Zhongshan School of Medicine, Sun Yat-sen University
    Supervisor: Prof. Huaiyu Gu

  • 🔬 Doctor of Philosophy (Ph.D.)
    Major: Biomedical Science
    Institution: The Chinese University of Hong Kong
    Supervisors: Prof. Wing-Ho Yung and Prof. Ya Ke

🧪 Research Experience & Skills

  • 🔋 Electrophysiology: Patch clamp (whole-cell), brain slice & in vivo LTP

  • 🧬 Molecular Biology: PCR, Western blot, ELISA, flow cytometry, paraffin sectioning

  • 🧠 Behavioral Studies: Rodent & Drosophila models for seizure, learning, memory

  • ⚗️ Analytical Chemistry: GC-MS, HPLC, TOF-MS, UV-Vis, gel filtration, membrane separation

  • 🔍 Microscopy: Laser scanning confocal & scanning electron microscopy

💡 Research Interests

  1. 🧠 Neurodevelopmental Disorders:

    • Gene identification via trio-based genome-wide sequencing

    • Use of transgenic mice and Drosophila to uncover disease mechanisms

  2. 🧠 Learning & Memory Mechanisms:

    • Applying electrophysiology, live imaging, and behavior analysis

    • Investigating synaptic plasticity and neural circuits involved in cognition

🏅 Honors & Awards

  • 🌍 Guangdong Overseas Postdoc Program
    (广东省海外青年博士后引进计划)

  • 🌟 Guangzhou High-Level Talent – Youth Reserve Talent
    (广州市高层次人才 青年后备人才)

Publication Top Notes:

Investigation of epilepsy-related genes in a Drosophila model

<i>ZFHX3</i> variants cause childhood partial epilepsy and infantile spasms with favourable outcomes

Identification of novel pathogenic genes of childhood epileptic encephalopathies

Heterozygous Variants in KCNJ10 Cause Paroxysmal Kinesigenic Dyskinesia Via Haploinsufficiency

The Interaction ofUBR4, LRP1, andOPHN1in Refractory Epilepsy:DrosophilaModel to Investigate the Oligogenic Effect on Epilepsy

Iodine Acetonitrile as a Drinking Water Disinfectant Showed a Potential Toxic Effect on Organism

 

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

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