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

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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

 

Mr. Vytautas Ostasevicius | Blood Physiology Awards | Best Researcher Award

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Mr. Vytautas Ostasevicius | Blood Physiology Awards | Best Researcher Award 

Mr. Vytautas Ostasevicius , Kaunas University of Technology, Lithuania

Vytautas Ostasevicius is a distinguished academician and leader in the field of mechanical engineering, currently serving as the Director of the Institute of Mechatronics at Kaunas University of Technology (KTU), Lithuania. With a career spanning several decades, he has been a member of the Lithuanian Academy of Sciences since 1991 and has played a pivotal role in numerous educational and research initiatives, including the establishment of the KTU International Studies Centre and the KTU Swiss Science Centre. Ostasevicius has held various significant positions, such as the Director of the KTU International Studies Centre and National Coordinator for several Tempus Phare Projects. He has contributed extensively to the academic community, supervising 18 PhD students and leading high-tech projects focused on wireless technologies and human health monitoring. His research interests encompass structural dynamics, smart tools, Industry 4.0 technologies, and microelectromechanical systems, resulting in over 300 scientific publications and 50 patents. His accolades include multiple national and international awards, such as the Chevalier orders from France and Belgium, and the Lithuanian National Award. Ostasevicius continues to influence the field through his active involvement in professional organizations, editorial boards of scientific journals, and participation in international conferences.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Vytautas Ostasevicius

Vytautas Ostasevicius is a distinguished academic and researcher with a long-standing commitment to the field of engineering, making him a suitable candidate for the Best Researcher Award. His extensive contributions to the academic community are highlighted by his membership in the Lithuanian Academy of Sciences since 1991, where he serves as an academician. He has also co-founded the Lithuanian-France Association and played pivotal roles in various international educational and research initiatives.

Education 🎓

  • PhD in Mechanical Engineering
    Master’s Degree in Mechanical Engineering
    Bachelor’s Degree in Mechanical Engineering

Work Experience 💼

  • Director
    KTU Institute of Mechatronics
    Overseeing research and educational activities in mechatronics.
  • Expert
    European Commission
    Evaluating scientific project applications for various funding programs.
  • Chairman
    National Committee of IFToMM
    Leading the national committee focused on the theory of machines and mechanisms.
  • Deputy Chairman
    Technical Sciences Department, Lithuanian Academy of Sciences
    Assisting in the management and guidance of technical research.
  • Chairman
    Joint Doctoral Committee, KTU and Vytautas Magnus University Academy of Agriculture
    Overseeing the doctoral programs in mechanical engineering.
  • National Coordinator
    Various Tempus Phare Projects
    Year: 1995 – 2000
  • Coordinating international educational projects.
  • Director
    KTU International Studies Centre
    Year: 1991 – 2000

    • Establishing and managing the international studies department.

Achievements 🌟

  • Scientific Supervisor
    Guided 18 PhD students to successfully defend their theses in the area of mechatronics.
  • Leader of Hi-Tech Projects
    • Developed high-tech methodologies and equipment for health monitoring and sensor systems.
    • Projects funded by various Lithuanian state foundations and the EU.
  • Initiator of New Research Structures
    Established several research centers and institutes within KTU, including the Mechatronics Institute and the KTU Swiss Science Centre.

Awards and Honors 🏅

  • Medal for the Best Student Research Work in Soviet Union (1970)
  • Medal for the Best Student Research Work in Baltic States (1970)
  • Laureate of Lithuanian Youth’s Award (1975)
  • Award: Innovator of the Soviet Union (1985)
  • Laureate of Lithuanian National Award (1997)
  • The Great Kant Medal for achievements in mechanics (2000)
  • Chevalier Order of the Republic of France (2005)
  • Chevalier Order of the Kingdom of Belgium (2006)
  • K. Simonavicius Award in Mechanics (2013)
  • Laureate of Lithuanian National Award (2019)
  • Nomination by the State Lithuanian Language Commission for fostering the Lithuanian language (2020)
  • Laureate of the Kaunas City Scientist Competition (2021)

Publication Top Notes:

Low-frequency ultrasound for pulmonary hypertension therapy

Contractions Induced in Human Pulmonary Arteries by a H2S Donor, GYY 4137, Are Inhibited by Low-Frequency (20 kHz) Ultrasound

Prediction of Changes in Blood Parameters Induced by Low-Frequency Ultrasound

Development of a Low-Frequency Piezoelectric Ultrasonic Transducer for Biological Tissue Sonication

Investigation of the Single Point Heating Tool for the Robotised Incremental Polymer Sheet Forming Process

Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

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Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

Prof. Alina Nechyporenko, Technische Hochschule Wildau, Germany

Dr. Alina Nechyporenko is an accomplished scientist and professor specializing in pattern recognition, biomedical signal processing, and data mining. Currently, she serves as a Scientist and Reader at the Technical University of Applied Sciences Wildau, Germany, where she works in the Department of Molecular Biotechnology and Functional Genome Analysis. She has also been a Professor at Kharkiv National University of Radio Electronics in Ukraine since 2018, contributing to the Faculty of Computer Science and the Department of Systems Engineering. Dr. Nechyporenko has over 70 publications in peer-reviewed journals and holds five patents. She is an expert evaluator for ISO/TC 276 Biotechnology and has been involved in several high-impact research projects, including Horizon2020, COST actions, and Erasmus+ initiatives. Her current research focuses on biomedical research, machine learning, and data management, with significant contributions to European life-science research and microbiome studies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Alina Nechyporenko is a highly accomplished researcher in the fields of Pattern Recognition, Biomedical Signal Processing, and Machine Learning, with an extensive academic and professional background. She has demonstrated significant contributions to biomedical research, particularly in the application of data mining and computational techniques in cancer therapy, microbiome research, and deep learning. Given her work and leadership in her respective fields, she is highly suitable for the Best Researcher Award.

Education and Training

  • Expert in Evaluation Competences
    • Member of ISO/TC 276 Biotechnology, WG 2, WG 5, and national TC 166 “Clinical laboratory studies and systems for in vitro diagnostics.”
    • Technical Committee and Reviewer for the UKRCON IEEE conference.
  • Ph.D. in Computer Science
    • Specialization in Biomedical Signal Processing and Pattern Recognition
    • Thesis focused on data management and machine learning applications.
  • Publications and Patents
    • Over 70 publications in peer-reviewed scientific journals
    • Holder of 5 patents related to biomedical and computational applications.

Work Experience

2019 – Present

  • Scientist and Reader for Pattern Recognition, Biomedical Signal Processing
    • Technical University of Applied Sciences Wildau, Germany
    • Conducting research in areas such as data mining, machine learning, and data management within the Department of Molecular Biotechnology and Functional Genome Analysis.
    • Participates in Horizon2020 grant agreement ID: 654156 (RItrain – Research Infrastructures Training Programme), COST CA15110 (Harmonising standardisation strategies in European life-science research), and Erasmus + Capacity-building projects.
    • Engaged in COST CA18131 (Statistical and machine learning techniques in human microbiome studies) and DAAD “Digital Ukraine: Ensuring academic success in times of crisis” projects (2022 – 2025).

Since 2018

  • Professor
    • Kharkiv National University of Radio Electronics, Ukraine
    • Faculty of Computer Science & Department of Systems Engineering
    • Involved in teaching and research, focusing on pattern recognition, data processing, and systems engineering.

Publication top Notes:

Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy

Comparison of CNN-Based Architectures for Detection of Different Object Classes

Comparison of CNN-Based Architectures for Detection of Different Object Classe

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition

Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation

Dr. Muhammad Muqeet Rehman | Health Screening Award | Best Researcher Award

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Dr. Muhammad Muqeet Rehman | Health Screening Award | Best Researcher Award

Dr. Muhammad Muqeet Rehman, Jeju National University, South Korea

Dr. Muhammad Muqeet Rehman is an accomplished researcher and educator currently serving as a Brain Pool Postdoctoral Fellow and Lecturer in the Department of Electronic Engineering at Jeju National University (JNU), South Korea. With a strong background in mechatronics and electronic engineering, he has contributed extensively to the field through his work on sustainability, biocompatible electronics, self-powered sensors, and flexible and printed electronics. Dr. Muqeet has published over 45 SCI research papers, including comprehensive reviews and a book chapter, and has been involved in multiple funded research projects, serving as both Principal Investigator and researcher. His academic career spans various institutions, including GIK Institute of Engineering Sciences & Technology in Pakistan, where he previously held a position as Assistant Professor. He has mentored numerous PhD and MS students, developed research laboratories, and secured national research funding through successful proposal writing. Dr. Muqeet is recognized for his interdisciplinary collaboration, innovative research, and dedication to mentoring young scientists and engineering students. His expertise in advanced materials, energy harvesting devices, and memristors has positioned him as a leading figure in his field, with a significant impact on both academia and industry.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Muhammad Muqeet Rehman is a highly qualified candidate for the Best Researcher Award based on his impressive professional experience, research achievements, and contributions to the field of electronic engineering and materials science.

Education

  • Ph.D. in Mechatronics Engineering
    Jeju National University, South Korea
    March 2015 – December 2017

    • CGPA: 4.22/4.30
    • Achievements: Published 10 full research papers in high-impact SCI journals, collaborated with multidisciplinary researchers, developed and characterized printed electronic devices, synthesized 2D materials, polymer inks, and hybrid nanocomposites, and received multiple awards for research contributions.
  • MS in Electronic Engineering
    GIK Institute of Engineering Sciences & Technology, Pakistan
    February 2013 – February 2015

    • CGPA: 3.50/4.00
  • BS in Electronic Engineering
    GIK Institute of Engineering Sciences & Technology, Pakistan
    Graduated in 2009

    • Achievements: Won a full scholarship based on academic excellence, completed degree within 4 years with no failed subjects.

Professional Experience

  • Brain Pool Fellow (National Research Foundation)/Lecturer
    Jeju National University (JNU), South Korea
    November 2020 – Present

    • Responsibilities: Taught 7 graduate engineering courses over 4 years, published 20+ SCI research papers, co-supervised 7 PhD students, managed and completed multiple funded research projects, presented research at international conferences, mentored young scientists, and developed research proposals and lab infrastructure.
    • Achievements: Secured national research funding, approved PhD supervisor by Higher Education Commission (HEC), Pakistan, and developed a high-quality research laboratory.
  • Assistant Professor
    GIK Institute of Engineering Sciences & Technology, Pakistan
    December 2017 – September 2020

    • Responsibilities: Taught 12 engineering courses, supervised research projects, managed lab experiments, and conducted curriculum design.
    • Achievements: Worked on 7+ funded research projects, supervised engineering graduate students, and contributed to the development of cost-effective experimental techniques.

Keywords of Research

  • Sustainability
  • Biocompatible Electronics
  • Self-Powered Sensors
  • Applications of Advanced Materials in Electronic Devices
  • Energy Harvesting Devices
  • Memristors
  • Flexible and Printed Electronics

Publication top Notes:

Wireless flexi-sensor using narrow band quasi colloidal 3D tin telluride (SnTe) for respiratory, environment, and proximity sensing

Advanced Sensing System for Sleep Bruxism across Multiple Postures via EMG and Machine Learning

High performance triboelectric nanogenerator based on purified chitin nanopaper for the applications of self-powered humidity sensing, gait monitoring, and hyperhidrosis sensor

Hierarchically structured porous natural dielectric layer for sustainable pressure sensing, gesture monitoring, and detecting spatial pressure distribution

3D hierarchical microcubic morphological composite and its application for Bi-functional Humidity/Pressure sensing in TENG architecture

 

Mr. Fulin Cai | Patient Monitor Award | Best Researcher Award

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Mr. Fulin Cai | Patient Monitor Award | Best Researcher Award 

Mr. Fulin Cai, Arizona State University, United States

Fulin Cai is a dedicated Ph.D. student in Computer Engineering at Arizona State University (ASU) under the supervision of Teresa Wu, with a research focus on deep learning, medical signals, and healthcare. He earned his M.S. in Computer Engineering from ASU with a GPA of 3.86/4.0 in 2023. Prior to this, he completed an M.S. in Management Science and Engineering and a B.S. in Information Management and Information System from Shenzhen University (SZU), ranking high in his class. Fulin’s research has led to numerous publications in prestigious journals such as IEEE Sensors Journal and Frontiers in Physiology, with topics ranging from radar sensing to respiratory function monitoring. He has also presented his work at notable conferences like the Institute of Industrial and Systems Engineers (IISE) Annual Conference.

Professional Profile:

ORCID

Education 🎓

  • Arizona State University (ASU), Tempe, USA
    • Ph.D. Student in Computer Engineering (08/2020 – Present)
    • Supervisor: Teresa Wu
    • Research Interests: Deep Learning, Medical Signals, Healthcare
  • Arizona State University (ASU), Tempe, USA
    • M.S. in Computer Engineering, GPA: 3.86/4.0 (05/2023)
  • Shenzhen University (SZU), Shenzhen, China
    • M.S. in Management Science and Engineering, GPA: 86/100 (Rank 3) (06/2019)
    • Supervisors: Li Li and Xianghua Chu
    • Research Interests: Meta Learning, Reinforcement Learning, Optimization
  • Shenzhen University (SZU), Shenzhen, China
    • B.S. in Information Management and Information System, GPA: 3.56/4.0 (Rank 4) (06/2016)

Teaching Experience 👨‍🏫

  • Arizona State University, Tempe, USA
    • Information Systems Engineering (Spring 2024)
  • Shenzhen University (SZU), Shenzhen, China
    • Lecturer, College of Continuing Education:
      • Management Information System Analysis and Design (03/2017-06/2017)
      • Website Construction and Management (09/2017-12/2017)
      • E-commerce Technology (03/2018-06/2018)
      • Management Information System (03/2019-06/2019)
    • TA, Online Course: Living with Etiquette (03/2017-06/2018)

Working Experience 💼

  • Arizona State University, Tempe, USA (08/2020-Present)
    • Position: Graduate Research Assistant
    • Research Topic: Enhanced representation learning for human biosensing applications
    • Responsibilities:
      • Apply computer vision models to human biosensing applications (e.g., ECG for sleep apnea, radar data for physiological measurement and motion detection).
      • Improve representation learning of DL models from time and frequency perspectives when bio signal is treated as a spectrogram (1-channel image).
  • Huawei Technologies Co., Ltd, Shenzhen, China (07/2019-07/2020)
    • Position: Algorithm Engineer
    • Responsibilities:
      • Implementation of automatic channel selection algorithm.
      • Development of channel simulation software based on NS-3.

Academic Services 📝

  • Journal Reviewer:
    • Computers in Biology and Medicine
    • Biomedical Signal Processing and Control
    • Computers & Industrial Engineering
    • International Journal of Production Research
    • Quality and Reliability Engineering International

Publication top Notes:

E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing

Corrections to “STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning” [May 23 10998-11006]

STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning

Cross-Trained Worker Assignment Problem in Cellular Manufacturing System Using Swarm Intelligence Metaheuristics

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