Dr. Lizheng Deng | Forecasting | Best Researcher Award

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Dr. Lizheng Deng | Forecasting | Best Researcher Award

Dr. Lizheng Deng, Tsinghua University, China

Dr. Lizheng Deng, born in September 1994 in Anhui Province, China, is a postdoctoral researcher at the School of Safety Science, Institute of Public Safety Research, Tsinghua University in Beijing. He holds a Ph.D. in Safety Science and Engineering from Tsinghua University, where his dissertation focused on landslide subsurface deformation behavior using acoustic emission (AE) monitoring under the mentorship of Professor Hongyong Yuan. His academic journey also includes visiting research stints at Loughborough University in the UK and Montanuniversitaet Leoben in Austria. Dr. Deng’s research centers on geotechnical monitoring, particularly leveraging acoustic emission technologies and artificial intelligence to assess and predict subsurface deformation in geological settings. His work during his Ph.D. led to the development of an innovative AE waveguide array, now employed in landslide monitoring projects across multiple provinces in China. In his postdoctoral research, he continues to explore the dynamics of granular material–metal structure interactions and the associated AE mechanisms, with the support of the Beijing Natural Science Foundation and China Postdoctoral Science Foundation.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for the Research for Best Researcher Award 

Dr. Lizheng Deng stands out as a highly suitable candidate for the Research for Best Researcher Award based on his impressive academic and research trajectory, international collaborations, and impactful contributions to geotechnical monitoring using Acoustic Emission (AE) and Artificial Intelligence (AI). With a Ph.D. from Tsinghua University and postdoctoral research at the same prestigious institution, Dr. Deng has made significant advancements in landslide subsurface deformation behavior monitoring, a critical area for disaster risk reduction. His innovations, such as the AE array and AI-integrated early warning models, are not only academically recognized—published in top-tier journals like Engineering Geology and Landslides—but also applied nationwide, directly influencing public safety via China’s GeoCloud monitoring system. Funded by leading scientific foundations and supported by multiple government ministries, Dr. Deng’s research is both cutting-edge and socially impactful, embodying the excellence and real-world application expected of a recipient of this award.

🎓 Education

  • PhD in Safety Science and Engineering (09/2017 – 06/2022)
    Tsinghua University, Beijing, China 🇨🇳
    Dissertation: “Research on Landslide Subsurface Deformation Behaviour Using Acoustic Emission Monitoring”
    👨‍🏫 Supervisor: Prof. Hongyong Yuan (Chang Jiang Scholars)

  • Visiting PhD Student (02/2020 – 08/2020)
    Loughborough University, UK 🇬🇧
    👨‍🏫 Supervisors: Prof. Neil Dixon, Alister Smith

  • B.E. in Safety Engineering (09/2013 – 06/2017)
    China University of Mining and Technology, Beijing
    Thesis: Roof control methods in hard rock mining >700m
    👨‍🏫 Supervisor: Prof. Yueping Qin, Prof. Nikolaus A. Sifferlinger

  • Visiting Student (02/2017 – 05/2017)
    Montanuniversitaet Leoben, Austria 🇦🇹
    👨‍🏫 Supervisor: Prof. Nikolaus A. Sifferlinger

💼 Work Experience

  • Postdoctoral Researcher (07/2022 – present)
    School of Safety Science, Institute of Public Safety Research, Tsinghua University
    🧪 Focus: Acoustic emission (AE) from granular material-metal interactions

🏆 Achievements & Contributions

  • 🔬 Innovated AE Array Monitoring Technology
    Used in landslide early warning systems across 20+ sites in 8 provinces in China.
    👉 Integrated with AI for landslide deformation modeling and risk prediction.

  • 🛠 Field Implementation & Tech Adoption
    AE monitoring tech adopted by:

    • Ministry of Natural Resources (MNR)

    • China’s Geological Hazard Monitoring System (GeoCloud)

  • 📚 Publications in top journals

    • Engineering Geology

    • Landslides

    • Measurement

🥇 Awards & Honors

  • 🧾 “Certificate of Universal Instrumentation for Geological Hazard Monitoring” – Ministry of Natural Resources, China

  • 🙌 Letter of Appreciation – Recognizing real-world impact of his monitoring tech

  • 💰 Funded by:

    • Beijing Natural Science Foundation

    • China Postdoctoral Science Foundation

    • Ministry of Industry and Information Technology of China

    • Ministry of Natural Resources of China

Publication Top Notes:

Spatio-Temporal Deformation Prediction of Large Landslides in the Three Gorges Reservoir Area Based on Time-Series Graph Convolutional Network Model

Acoustic emission behavior generated from active waveguide during shearing process

Noise Cancellation Method Based on TVF-EMD with Bayesian Parameter Optimization

Automatic classification of landslide kinematics using acoustic emission measurements and machine learning

Machine learning prediction of landslide deformation behaviour using acoustic emission and rainfall measurements

Experimental Investigation on Integrated Subsurface Monitoring of Soil Slope Using Acoustic Emission and Mechanical Measurement

Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide

On Image Fusion of Ground Surface Vibration for Mapping and Locating Underground Pipeline Leakage: An Experimental Investigation

Assoc. Prof. Dr Andrea Suranyi | Health Evaluation | Best Researcher Award

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Assoc. Prof. Dr Andrea Suranyi | Health Evaluation | Best Researcher Award 

Assoc. Prof. Dr Andrea Suranyi, University of Szeged, Hungary

Dr. Andrea Suranyi, MD, PhD, is an Associate Professor at the Department of Obstetrics and Gynecology, University of Szeged, Hungary. She specializes in obstetrical and gynecological ultrasound, with expertise in 3D ultrasound imaging and fetal medicine. She obtained her MD in 1994 and completed her PhD in 2000, focusing on fetal renal hyperechogenicity in complicated pregnancies. With over two decades of experience, she has contributed to numerous research projects, international collaborations, and peer-reviewed publications. She has received advanced training in ultrasound screening and fetal medicine from prestigious institutions, including the Fetal Medicine Foundation in London.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability for Best Researcher Award

Andrea Suranyi, MD, PhD, is a highly qualified researcher and clinician with extensive expertise in obstetrical and gynecological ultrasound. With a strong academic foundation from the University of Szeged and international training experiences in Belgium, Venezuela, and the UK, she has built a robust career in perinatal ultrasound research. Her contributions to the field include pioneering studies on fetal renal sonographic alterations and placental Doppler indices in pregnancies complicated by gestational diabetes. Her work is well-documented through peer-reviewed publications, and she has demonstrated leadership in designing and managing research projects.

🎓 Education & Training

  • University of Szeged, Hungary – MD (12/1994) 🏥
    General Medicine
  • University of Szeged, Hungary – Postdoctoral Training (08/1998) 📚
  • University of Szeged, Hungary – PhD (06/2000) 🎓
    Thesis: “Prenatal and postnatal evaluation of fetal renal hyperechogenicity in pregnancies complicated with pre-eclampsia and intrauterine growth retardation”
  • Residency Training 🏨
    • Clinical Pathology – (2000) 🧪
    • Pediatrics – (2003) 👶
  • Sonography Certifications 🔬
    • Level ‘A’ (Basic Ultrasound in O&G) – (1994)
    • Level ‘B’ (Advanced Ultrasound in O&G, Fetal Malformation Screening) – (2003)
  • International Certifications 🌍
    • Fetal Medicine Foundation, UK (2011)
      Nuchal translucency, Doppler investigation, Cervical measurement

💼 Work Experience

  • University of Szeged, Hungary 🏛️

    • Trainee – Dept. of Clinical Chemistry (1998-2000)
    • Assistant Professor – Dept. of Clinical Chemistry (2000)
    • Assistant Professor – Dept. of Obstetrics & Gynecology (2002-2008)
    • Lecturer – Dept. of Obstetrics & Gynecology (2008-2014)
    • Senior Research Fellow – Dept. of Obstetrics & Gynecology (2014-2022)
    • Associate Professor – Dept. of Obstetrics & Gynecology (2022-Present)

  • International Research & Training 🌏

    • 🇫🇷 Centre Medico-Chirurgical Arnault Tzack, France (1993)
    • 🇧🇪 Hôpital de la Citadella, Belgium (1997) – Scholarship by CGRI
    • 🇻🇪 Hospital Universitario de Los Andes, Venezuela (2001)
    • 🇦🇹 Salzburg Medical Seminars, Austria – Women’s Health Course (2002)
    • 🇬🇧 Fetal Medicine Foundation, London, UK (2015)

🏆 Achievements & Awards

  • Expert in Obstetric & Gynecologic Ultrasound 📡
    • Specialist in 3D/4D ultrasound research & fetal renal imaging
  • Research on Fetal & Neonatal Renal Hyperechogenicity 🧬
    • Multiple peer-reviewed publications
  • Scholarship Awards 🎖️
    • CGRI Scholarship (Belgium, 1997)
    • American Austrian Foundation & Soros Foundation (2002)
  • Advanced Sonography Training 🏅
    • Vienna International School of 3D Ultrasonography (2011)
    • International Methodological Training in 3D/4D Ultrasound (2012)

Publication Top Notes:

CD3+CD56+ NK T cells are significantly decreased in the peripheral blood of patients with psoriasis

CITED:92

Effects of magnesium supplementation on the glutathione redox system in atopic asthmatic children

CITED:49

Urinary magnesium excretion in asthmatic children receiving magnesium supplementation: a randomized, placebo-controlled, double-blind study

CITED:49

Placental three‐dimensional power Doppler indices in mid‐pregnancy and late pregnancy complicated by gestational diabetes mellitus

CITED:38

Maternal hematological parameters and placental and umbilical cord histopathology in intrauterine growth restriction

CITED:29

 

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