Dr. Dongyeop Lee | Safety Awards | Best Researcher Award

Dr. Dongyeop Lee | Safety Awards | Best Researcher AwardĀ 

Dr. Dongyeop Lee, KEPCO Research Institute, South Korea

Dongyeop Lee is a Senior Researcher and Project Leader in the Safety & Health Solution Team at KEPCO Research Institute in Daejeon, South Korea, where he has been employed since May 2005. His expertise spans Smart Safety solutions, including AIoT sensors, AI/Big Data, healthcare, robotics, risk assessment, and safety culture development. Lee’s work focuses on advancing safety management systems, with a strong emphasis on data-driven and AI-powered risk management platforms for the electric power industry. He has made significant contributions to safety innovation through research and projects, as reflected in his publications on worker safety, smart devices for construction sites, and AI-based safety management architectures.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Dongyeop Lee

Based on the provided information, Dongyeop Lee demonstrates strong qualifications and achievements that align with the criteria for a “Research for Best Researcher Award.” Here’s the detailed analysis

Education

Unfortunately, Dongyeop Lee’s specific educational background isn’t listed on the ORCID profile. šŸŽ“ However, his research and leadership at KEPCO imply extensive expertise in smart safety and AIoT technologies.

Work Experience

šŸ’¼ KEPCO Research Institute, Daejeon, Yuseong-Gu, South Korea
šŸ“… May 23, 2005 ā€“ Present

  • Position: Senior Researcher (Project Leader)
  • Team: Safety & Health Solution Team
  • Focus: Leading projects related to safety technologies and health solutions in the electric power industry.

Achievements & Awards šŸ†

No specific awards or honors are listed in the profile, but his significant contributions to research and development in the field of smart safety and AI-driven risk management in the electric power industry suggest noteworthy professional accomplishments. šŸŒŸ

PublicationĀ Top Notes:

Safety Autonomous Platform for Data-Driven Risk Management Based on an On-Site AI Engine in the Electric Power Industry

Exploring Safety Management Approaches for Construction Sites Using Smart Devices

Management Architecture With Multi-modal Ensemble AI Models for Worker Safety

Dr. Rui Meng | Security Assessment Awards | Best Researcher Award

Dr. Rui Meng | Security Assessment Awards | Best Researcher AwardĀ 

Dr. Rui Meng, Beijing University of Posts and Telecommunications, China

Dr. Meng Rui is a dedicated researcher in the fields of sensor authentication, wireless security, and physical layer authentication. He earned his Bachelor’s degree in Information Engineering from Beijing University of Posts and Telecommunications from 2014 to 2018, followed by a Ph.D. in Information and Communication Engineering from the same institution, which he completed in 2024. Currently, Dr. Meng serves as a Postdoctoral Researcher at the School of Cyberspace Security at Beijing University of Posts and Telecommunications. He has published nearly 20 papers in prestigious international journals and conferences, including Sensors, IEEE Transactions on Industrial Informatics, and the IEEE Internet of Things Journal. Dr. Meng has also contributed to five national-level projects, such as the National Key Research and Development Program and the National Natural Science Foundation of China, showcasing his commitment to advancing knowledge in his field.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Suitability of Dr. Meng Rui for the Research for Best Researcher Award

Dr. Meng Rui is an exemplary candidate for the Research for Best Researcher Award due to his significant contributions to the fields of Sensor Authentication, Wireless Security, and Physical Layer Authentication. Below is a detailed summary of his qualifications and achievements that support his suitability for this prestigious recognition.

šŸŽ“ Education Background

  • Bachelor’s Degree in Information Engineering (2014ā€“2018)
    Beijing University of Posts and Telecommunications šŸŽ“
  • Ph.D. in Information and Communication Engineering (2018ā€“2024)
    Beijing University of Posts and Telecommunications šŸŽ“

šŸ’¼ Work Experience

  • Postdoctoral Researcher (2024ā€“Present)
    School of Cyberspace Security, Beijing University of Posts and Telecommunications šŸ§‘ā€šŸ”¬

šŸ† Achievements

  • Published nearly 20 international journal and conference papers in renowned publications, including:
    • Sensors
    • IEEE Transactions on Industrial Informatics (TII)
    • IEEE Internet of Things Journal (IoTJ)
    • IEEE Transactions on Cognitive Communications and Networking (TCCN)
    • IEEE GlobeCom šŸ“š
  • Key contributions include innovations in Physical Layer Authentication, Sensor Authentication, and Wireless Security for Industrial IoT and 6G Systems.
  • Author of impactful works such as:
    • Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satelliteā€“Ground Scenarios šŸŒŒ
    • Physical-layer authentication using hierarchical variational autoencoder šŸŒ
    • Multiuser physical-layer authentication via latent perturbed neural networks šŸ¤–
  • Active participant in five national-level projects, including:
    • The National Key Research and Development Program šŸ”‘
    • The National Natural Science Foundation of China šŸŒ

āœØ Awards and Honors

  • Recognition for contributions to secure wireless communications in next-gen technologies. šŸ…
  • Active collaborator in cutting-edge cybersecurity research at the national level. šŸŒŸ

PublicationĀ Top Notes:

A survey of Machine Learning-based Physical-Layer Authentication in wireless communications

Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satelliteā€“Ground Scenario

Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization

Multiobservation-Multichannel-Attribute-Based Multiuser Authentication for Industrial Wireless Edge Networks

Multidimensional Fingerprints-Based Multiattacker Detection for 6G Systems

Task-Oriented and Semantic-Aware Heterogeneous Networks for Artificial Intelligence of Things: Performance Analysis and Optimization

Mr. Qing Li | Disaster Detection Awards | Best Researcher Award

Mr. Qing Li | Disaster Detection Awards | Best Researcher Award

Mr. Qing Li, China Jiliang University, China

Qing Li is a distinguished educator and researcher in the field of electrical engineering, with a particular focus on disaster monitoring technology and instruments. After beginning her career in various roles, including a loader and teacher, she pursued her studies in Industrial Electrical Automation at Harbin Institute of Technology, graduating in 1982. She then worked as a microwave circuit designer and researcher at the Shanghai New Asia Wireless Power Plant until 1985, when she joined China University of Metrology. Over the years, Qing has held several prestigious positions, including the current director of the National Local Joint Engineering Laboratory for Disaster Monitoring Technology and Instruments. Her contributions to education and research have been recognized with numerous awards, including the National Excellent Teacher Award and multiple first-place recognitions in teaching and scientific achievements. Qing’s dedication to her field is further demonstrated by her leadership in projects that promote technological advancement, earning her accolades such as the China Patent Excellence Award and recognition as a Leading Talent in the National “Ten Thousand Talents Plan.” Her extensive career reflects a commitment to excellence in both teaching and innovation in the engineering sector.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Qing Li

Qing Li demonstrates exceptional qualifications and a substantial impact in his field, making him a strong candidate for the Best Researcher Award. His career, spanning over four decades, includes significant contributions to industrial electrical automation, disaster monitoring technology, and education in metrology.

Education šŸŽ“

  • Industrial Electrical Automation
    Harbin Institute of Technology, 1978 – 1982

Work Experience šŸ’¼

  • Loader, Teacher, Radio and Electrical Repairman
    Various roles from 1974 to 1978
  • Microwave Circuit Designer and Researcher
    Shanghai New Asia Wireless Power Plant (Ministry of Aerospace), 1982 – 1985
  • Teaching and Researcher
    China University of Metrology, March 1985 – Present

    • Current Position: Director, National Local Joint Engineering Laboratory for Disaster Monitoring Technology and Instruments

Achievements šŸŒŸ

  • Significant contributions to education and research in the field of metrology and disaster monitoring technology.
  • Led and participated in numerous research projects and initiatives.

Awards and Honors šŸ†

  1. First Prize for Teaching Achievements in Zhejiang Province (2002) – Ranked First
  2. Zhejiang Province Higher Education Teaching Master Award (2003)
  3. Young and Middle-aged Scientific and Technological Personnel with Outstanding Contributions in Zhejiang Province (2003)
  4. Third Prize in Zhejiang Science and Technology Awards (2003, 2005) – Ranked First
  5. First Prize for Excellent Natural Science Paper in Zhejiang Province (2003) – Ranked First
  6. Second Prize for Teaching Achievements in Zhejiang Province (2005) – Ranked Fifth
  7. National Excellent Teacher (2007)
  8. May Day Labor Medal of Zhejiang Province (2007)
  9. Second Prize of Zhejiang Science and Technology Award (2010) – Ranked First
  10. Second Prize of “Science and Technology Driven Inspection” Award by the General Administration of Quality Supervision, Inspection and Quarantine of China (2011)

PublicationĀ Top Notes:

An omnidirectional low-frequency wave vibration energy harvester with complementary advantages of pendulum and gyroscope structures

Low-Power and Wireless Communication Research on Underground Displacement Three-Dimensional Monitoring System

Research on Wireless Power Transmission Technology for Underground Deformation 3-D Measurement Device

Design of Miniaturized Sensing Unit for Underground Displacement Three-Dimensional Measurement Sensor

Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk

 

Prof. Jie Dou | Hazard prediction | Best Researcher Award

Prof. Jie Dou | Hazard prediction | Best Researcher AwardĀ 

Prof. Jie Dou, The University of Tokyo, China

Professor Dou Jie is a distinguished scholar at the China University of Geosciences, China. With a Ph.D. from the University of Tokyo and extensive experience at institutions such as the University of Tokyo, the Public Works Research Institute, and Nagaoka University of Technology, Professor Dou has been recognized through prestigious programs like the High-level Hundred Talents Program and the Wuhan City Talent Program. He has been a competitive applicant for the Japan Society for the Promotion of Science (JSPS). His research focuses on earthquake and rainfall-triggered geohazards, spatial analysis using artificial intelligence (AI), and risk mitigation, with fieldwork spanning countries including Japan, China, Italy, Algeria, Vietnam, and Brazil. Professor Dou has authored or co-authored over 60 peer-reviewed articles and 10 book chapters, including 15 Essential Science Indicators (ESI) papers and 2 hotspot papers, with one of his papers being selected among the Top 100 Nature Scientific Reports. His work has garnered around 7,100 citations on Google Scholar. He has delivered numerous plenary and invited talks at international conferences and serves as a Topic Editor for the journal Remote Sensing and an Associate Editor for Frontiers in Earth Science. Additionally, he is on the editorial boards of several journals, including the Journal of Mountain Science, Geocarto International, and Geomatics

Professional Profile:

GOOGLE SCHOLAR

 

Summary of Suitability for Best Researcher Award: Professor Dou Jie

Dr. Dou Jie stands out as an exemplary candidate for the Best Researcher Award due to his extensive and impactful contributions to the field of geohazards, spatial analysis, and risk mitigation. Here are the key reasons for his suitability:

šŸŒŸ Achievements and Recognition:

  • Selected for the High-level Hundred Talents Program
  • Part of the Wuhan City Talent Program
  • Competitive applicant for the Japan Society for the Promotion of Science (JSPS)

šŸŒŖļø Research Interests:

  • Earthquake and rainfall-triggered geohazards
  • Spatial analysis with artificial intelligence (AI)
  • Risk mitigation strategies

šŸ“Š Global Research Impact:

  • Conducted research in Japan, China, Italy, Algeria, Vietnam, and Brazil
  • Authored/co-authored over 60 peer-reviewed articles and 10 book chapters
  • Published 15 Essential Science Indicators (ESI) and 2 hotspot papers
  • One paper selected among the Top 100 Nature Scientific Reports papers
  • Over 7,100 citations on Google Scholar

šŸŽ¤ Conference Contributions:

  • Delivered several plenary and invited talks at international conferences on geohazards

šŸ“– Editorial Roles:

  • Topic editor for the journal Remote Sensing
  • Associate Editor of Frontiers in Earth Science
  • Editorial board member for several international journals including:
    • Journal of Mountain Science
    • Geocarto International
    • Geomatics, Natural Hazards and Risk

šŸ“ Review and Committee Work:

  • Reviewed for over 45 ISI-listed international journals
  • Steering committee member for several international academic societies and conferences, including:
    • World Landslide Forum 5
    • BIGS2021
    • BIGS2023
    • XIV IAEG 2023

Publication top Notes:

 

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

 

A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods

 

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

 

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

 

Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and highĀ ā€¦

 

 

 

Prof. Erol Gelenbe | Safety Innovation | Best Researcher Award

Prof. Erol Gelenbe | Safety Innovation | Best Researcher Award

Prof. Erol Gelenbe, Institute of Theoretical & Applied Computer Science, Polish Academy of Sciences, Poland

Professor Erol Gelenbe is a distinguished computer scientist currently serving as a Professor at the Institute of Theoretical and Applied Informatics at the Polish Academy of Sciences in Gliwice, Poland, and a Visiting Professor at King’s College London since 2024. He also holds the Chair of the Informatics Section of Academia Europaea since 2023. Born in Turkey and a naturalized citizen of France, Professor Gelenbe has an impressive academic background. He earned his Docteur dā€™Etat ĆØs Sciences MathĆ©matiques in 1973 from UniversitĆ© Pierre & Marie Curie under the supervision of Prof. J.-L. Lions, with a thesis on ā€œModĆ©lisation des SystĆØmes Informatiquesā€. He also holds a PhD in Electrical Engineering from the Polytechnic Institute of New York University (1970), where he worked on ā€œLanguages Defined by Linear Probabilistic Automataā€ under the guidance of Prof. E.J. Smith Jr. His academic journey began with an MSc in Electrical Engineering from the same institute in 1968, and a BSc with High Honours in Electrical and Electronic Engineering from Middle East Technical University, Ankara, in 1966.

Professional Profile

šŸŽ“ Education:

  • Docteur d’Etat es Sciences Mathematiques (1973): UniversitĆ© Pierre & Marie Curie
    • Thesis: ā€œModelisation des SystĆØmes Informatiquesā€
    • Supervisor: Prof. J.-L. Lions
  • Ph.D. in Electrical Engineering (1970): Polytechnic Institute of New York University
    • Thesis: ā€œOn Languages Defined by Linear Probabilistic Automataā€
    • Supervisor: Prof. E.J. Smith Jr.
    • Awarded: NATO Science Fellowship
  • M.Sc. in Electrical Engineering (1968): Polytechnic Institute of New York University
    • Thesis: ā€œRegular Expressions and Checking Experimentsā€
    • Advisor: Prof. E.J. Smith Jr.
    • Awarded: USA Fulbright Full Scholarship
  • B.Sc. with High Honours in Electrical and Electronic Engineering (1966): Middle East Technical University, Ankara
    • Thesis: Award of the K.K. Clarke Prize for the best undergraduate research

šŸ… Awards & Honors:

  • Fellow Award, IEEE (1986): Leadership in the development of computer systems performance evaluation
  • Fellow Award, ACM (2001): Advancing computer and system performance evaluation and establishing Computer Science programs in France
  • Fellow Award, IFIP (2019): Pioneering work on Computer and Network Performance

šŸŽ–ļø Honorary Degrees:

  • Laurea Honoris Causa Dott. Ing. Univ. Roma II, Italy (1996)
  • Hon. PhD Bogazici University, Istanbul (2004)
  • Docteur Honoris Causa UniversitĆ© de LiĆØge, Belgium (2006)

šŸ›ļø National Academies:

  • Member of Academia Europaea (2005)
  • Fellow National Academy of Technologies of France (2008)
  • Honorary Fellow of the Science Academy of Hungary (2010)
  • Fellow Academy of Sciences of Turkey ā€“ Bilim Akademisi (2012)

šŸ† Career Highlights:

  • Professor, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (2017-Present)
  • Dennis Gabor Professor, EEE Dept., Imperial College (2003-2020)
  • Univ. Chair Professor, Director School of EECS, Univ. Central Florida, USA (1998-2003)
  • Nello L. Teer Endowed Chair Professor, Chair of ECE Dept, Duke University (1993-1998)
  • New Jersey State Endowed Professor, Computer Science, New Jersey Inst. Technology (1992-1993)

šŸ… Honors:

  • Krzyż Oficerski Order Zasługi Rzeczypospolitej Polskiej (Cross of Officer of the Order of Merit of the Republic of Poland, 2024)
  • Commandeur de lā€™Ordre de la Couronne de Belgique (Commander of the Order of the Crown, 2022)
  • Commandeur de lā€™Ordre national de MĆ©rite (Commander of the Order of Merit, 2019)
  • Chevalier de la LĆ©gion dā€™Honneur (Knight of the Legion of Honour, 2014)
  • Grande Ufficiale dellā€™Ordine della Stella dā€™Italia (Grand Officer of the Order of the Star of Italy, 2007)
  • Commendatore dellā€™Ordine al Merito, Italy (Commander of the Order of Merit of Italy, 2005)
  • Chevalier des Palmes AcadĆ©miques (2003)
  • Officier de lā€™Ordre national du MĆ©rite (2001)
  • Chevalier de lā€™Ordre national du MĆ©rite (1992)

šŸ“š Doctorates Honoris Causa:

  • Hungarian Academy of Sciences, Budapest (2010)
  • UniversitĆ© de LiĆØge, Belgium (2006)
  • Bogazici University, Istanbul (2004)
  • Universita di Roma II, Italy (1996)

šŸŽ“ Teaching Experience:

  • Courses in Networks, Distributed Computer Systems, Performance Engineering, Digital Systems, Computer Architecture, Logic, Algorithms & Data Structures, Networks, Operating Systems, Probability Theory, and Statistics.

šŸ“š Recent Research Projects:

  • European Commission H2020: Sole PI for Imperial: KONFIDO on Security in Digital Health Systems (2016-2019)
  • Industry: Huawei, Sole PI ā€œOptimising Software Defined Networks for Data Centresā€ (2015-2016)
  • EPSRC: REACH, Sole PI ā€“ ā€œRenewable Energy Aware Communications with Harvestingā€ (2016-2017)
  • European Commission H2020: Sole PI for Imperial: GHOST (2017-2020)

šŸ† Recent Best Paper Awards:

  • IEEE Trustcom (2023): “Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy”
  • IEEE Computer Society MASCOTS (2023): “Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations”
Publications Notes:šŸ“„
Energy-efficient cloud computing

CITED : 994

A survey of autonomic communications

CITED : 953

Random neural networks with negative and positive signals and product form solution

CITED : 862

Analysis and synthesis of computer systems

CITED : 843

Product-form queueing networks with negative and positive customers
CITED : 762