Prof. Fang Xu | Gas Detector | Best Researcher Award

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Prof. Fang Xu | Gas Detector | Best Researcher Award 

Prof. Fang Xu, Shenzhen Technology University,China

Prof. Fang Xu is an Associate Professor and Master’s Supervisor, serving as the Head of the Department of Applied Physics. She is a Shenzhen Overseas High-level Talent (Peacock Program Category C) with expertise in semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. She has published 15 SCI papers in high-impact journals such as Advanced Materials, Advanced Energy Materials, and Sensors and Actuators B: Chemical as the first or corresponding author. She holds three national invention patents and actively contributes as a guest editor and reviewer for several scientific journals. Dr. [Name] earned her Ph.D. in Electrical Engineering from The Chinese University of Hong Kong (2018) and a Bachelor’s degree in Applied Physics from Huazhong University of Science and Technology (2012). She has received multiple awards, including First Prize in the National Final of the “China University Students Mechanical Engineering Innovation and Creativity Competition” as an instructor and the Outstanding Oral Presentation Award at the 15th National Conference on Gas and Humidity Sensing Technology.

Professional Profile:

ORCID

SCOPUS

Suitability for Best Researcher Award

Fang Xu is a highly accomplished researcher whose expertise spans semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. Her extensive contributions to these fields, particularly through high-impact publications, patents, and leadership roles, make her a strong candidate for the Best Researcher Award.

🎓 Education

📍 Ph.D. in Electrical Engineering (2013.8 – 2018.11)
🔹 The Chinese University of Hong Kong (CUHK)

📍 B.Sc. in Applied Physics (2008.9 – 2012.6)
🔹 Huazhong University of Science and Technology (HUST)

🏢 Work Experience

👩‍🏫 Associate Professor / Master’s Supervisor
📌 Head of the Department of Applied Physics
🌍 Shenzhen Overseas High-level Talents (Peacock Program Category C)

🏆 Achievements

🔬 Research on semiconductor gas sensors, optoelectronic devices, solar cells, biosensors, and more
📑 15 SCI papers in top journals (Advanced Materials, Advanced Energy Materials, etc.) as first/corresponding author
📜 3 National Invention Patents granted
📝 Guest Editor & Reviewer for several scientific journals

🎖 Awards & Honors

🥇 First Prize – China University Students Mechanical Engineering Innovation and Creativity Competition “Akashi Cup” (Guangdong Province)
🥇 First Prize – National Final of “Akashi Cup” (Instructor)
🥈 Second Prize – International Sensor Innovation and Entrepreneurship Competition, South China Region (Instructor)
🏅 2 Outstanding Poster Awards – 1st Smart Gas Sensor Innovation & Cross-border Application Development Forum (Instructor)
🥉 Third Prize – Physics Experiment Competition for College Students, Shenzhen University of Technology (Instructor)
🏆 Crystal Award – Shenzhen University of Technology Science and Technology Innovation Award (Instructor)
📜 Outstanding Undergraduate Thesis Design – Shenzhen University of Technology (Instructor)
🎤 Outstanding Oral Presentation Award – 15th National Conference on Gas and Humidity Sensing Technology and Academic Exchange

Publication Top Notes:

Advanced wearable strain sensors: Ionic double network hydrogels with exceptional stretchability, adhesion, anti-freezing properties, and sensitivity

 

Dual-Gas Sensor Based on the Pt NPs/AlGaN/GaN High Electron Mobility Transistor for H and NH Gases Detection<sub /> <sub />

 

Halide perovskites and high-pressure technologies: a fruitful encounter

One-step synthesis of various burr-like TiO2 nanostructures: Nanotubes, nanorods, nanotetrapods, nano-urchins

 

A Bidirectionally Focus-Tunable Optofluidic Microlens With Miniature Thermoelectric Coolers

 

 

Dr. Dongyeop Lee | Safety Awards | Best Researcher Award

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Dr. Dongyeop Lee | Safety Awards | Best Researcher Award 

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. 🎓 However, his research and leadership at KEPCO imply extensive expertise in smart safety and AIoT technologies.

Work Experience

💼 KEPCO Research Institute, Daejeon, Yuseong-Gu, South Korea
📅 May 23, 2005 – 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 🏆

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. 🌟

Publication 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

Ms. Qixiang Cai | Gas Monitoring | Best Researcher Award

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Ms. Qixiang Cai | Gas Monitoring | Best Researcher Award 

Ms. Qixiang Cai, Chinese Academy of Sciences, China

Dr. Cai Qixiang is a distinguished expert in climatology, ecology, and environmental science, with a focus on carbon cycle dynamics and greenhouse gas monitoring. He holds a Bachelor’s degree in Applied Meteorology and a Master’s in the Utilization of Agricultural Resources from China Agricultural University. He completed his Doctorate in Global Environmental Change at Beijing Normal University and is currently a post-doctoral researcher at the Institute of Atmospheric Physics, Chinese Academy of Sciences. Dr. Cai’s extensive experience includes projects on carbon cycle modeling, high-resolution carbon emission monitoring, and atmospheric CO2 concentration tracking. His work has been pivotal in assessing the environmental impacts of climate change, including studies on forest ecosystems, urban carbon emissions, and agrometeorology. Notable projects under his belt include the National Key R&D Program of China on carbon emission monitoring in the Beijing-Tianjin-Hebei region and the Jinan Carbon Detection and Evaluation Pilot Project.

Professional Profile:

ORCID

Education:

  • 2009.9-2013.7: Bachelor of Applied Meteorology, China Agriculture University
  • 2013.9-2015.7: Master of Utilization of Agricultural Resources, China Agriculture University
  • 2015.7-2019.2: Doctor of Global Environmental Change, Beijing Normal University
  • Expected 2019.6: Post-Doctoral Research, Institute of Atmospheric Physics, Chinese Academy of Sciences

Work Experience:

  • 2011-2012: Researcher, National College Student Research and Innovation Project, China Agricultural University
    • Project: Analysis of the spatiotemporal evolution of precipitation resources and their effectiveness on crops in northern regions under the background of climate change
  • 2012-2014: Researcher, Public Welfare Industry Research Special Project
    • Project: Frost occurrence pattern and risk assessment of fruit trees in northern China
  • 2016-2019: Researcher, National Natural Science Foundation of China
    • Project: Forest ecosystem carbon cycle model driven by sample site inventory data
  • 2017-2021: Researcher, National Key R&D Program of China
    • Project: High spatiotemporal resolution carbon emission monitoring and application demonstration in the Beijing-Tianjin-Hebei urban agglomeration
  • 2021-2022: Researcher
    • Project: Networked monitoring of atmospheric CO2 concentration in Jinan
  • Expected 2023: Researcher
    • Project: Environmental Monitoring Center Station Air Quality Substation System Cargo in Fuzhou, Fujian
  • Expected 2023: Researcher
    • Project: Jinan Carbon Detection and Evaluation Pilot Project: “Jinan High Spatial and Temporal Resolution CO2 Assimilation and Inversion”

Publication top Notes:

Evaluation of Low-Cost CO<sub>2</sub> Sensors Using Reference Instruments and Standard Gases for Indoor Use

 

Prof. Erol Gelenbe | Safety Innovation | Best Researcher Award

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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 d’Etat ès Sciences Mathématiques in 1973 from Université Pierre & Marie Curie under the supervision of Prof. J.-L. Lions, with a thesis on “Modélisation des Systèmes Informatiques”. He also holds a PhD in Electrical Engineering from the Polytechnic Institute of New York University (1970), where he worked on “Languages Defined by Linear Probabilistic Automata” 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

🎓 Education:

  • Docteur d’Etat es Sciences Mathematiques (1973): Université Pierre & Marie Curie
    • Thesis: “Modelisation des Systèmes Informatiques”
    • Supervisor: Prof. J.-L. Lions
  • Ph.D. in Electrical Engineering (1970): Polytechnic Institute of New York University
    • Thesis: “On Languages Defined by Linear Probabilistic Automata”
    • Supervisor: Prof. E.J. Smith Jr.
    • Awarded: NATO Science Fellowship
  • M.Sc. in Electrical Engineering (1968): Polytechnic Institute of New York University
    • Thesis: “Regular Expressions and Checking Experiments”
    • 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

🏅 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

🎖️ Honorary Degrees:

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

🏛️ 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 – Bilim Akademisi (2012)

🏆 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)

🏅 Honors:

  • Krzyż Oficerski Order Zasługi Rzeczypospolitej Polskiej (Cross of Officer of the Order of Merit of the Republic of Poland, 2024)
  • Commandeur de l’Ordre de la Couronne de Belgique (Commander of the Order of the Crown, 2022)
  • Commandeur de l’Ordre national de Mérite (Commander of the Order of Merit, 2019)
  • Chevalier de la Légion d’Honneur (Knight of the Legion of Honour, 2014)
  • Grande Ufficiale dell’Ordine della Stella d’Italia (Grand Officer of the Order of the Star of Italy, 2007)
  • Commendatore dell’Ordine al Merito, Italy (Commander of the Order of Merit of Italy, 2005)
  • Chevalier des Palmes Académiques (2003)
  • Officier de l’Ordre national du Mérite (2001)
  • Chevalier de l’Ordre national du Mérite (1992)

📚 Doctorates Honoris Causa:

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

🎓 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.

📚 Recent Research Projects:

  • European Commission H2020: Sole PI for Imperial: KONFIDO on Security in Digital Health Systems (2016-2019)
  • Industry: Huawei, Sole PI “Optimising Software Defined Networks for Data Centres” (2015-2016)
  • EPSRC: REACH, Sole PI – “Renewable Energy Aware Communications with Harvesting” (2016-2017)
  • European Commission H2020: Sole PI for Imperial: GHOST (2017-2020)

🏆 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:📄
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