Prof. Keon Baek | Data analysis | Best Researcher Award

Published on by Network Awards

Keon Baek | Data analysis | Best Researcher Award

Keon Baek | Chosun University | South Korea

Keon Baek is a dedicated Data Scientist and Electrical Engineer based in Gwangju, South Korea 1 🇰🇷. With a strong academic background and practical experience, he focuses on power market analysis, policy design, and technology development through insightful data analysis 📊. His research interests include consumer behavior 💡, demand flexibility 🔄, market and policy implications 🏛️, and the growing field of vehicle electrification 🚗⚡. Keon’s passion lies in leveraging data to shape the future of sustainable energy.

Professional profile : 

orcid

Google scholar

Summary of Suitability : 

Keon Baek, a dedicated Data Scientist and Electrical Engineer from Gwangju, South Korea, is an excellent candidate for the Best Researcher Award. With a robust academic foundation and a wealth of hands-on experience, Keon has demonstrated significant contributions to the fields of power market analysis, policy design, and technology development. His expertise lies in using data to inform decisions around sustainable energy, which aligns perfectly with the award’s criteria for groundbreaking research that drives innovation and societal impact.

Education :

  • Ph.D. (Power System & Economics) – Gwangju Institute of Science and Technology (2020.03 – 2023.02) ⚡💰
  • M.S. (Power System & Economics) – Gwangju Institute of Science and Technology (2018.03 – 2020.02) 💡📈
  • B.S. (Electrical Engineering) – Korea Advanced Institute of Science and Technology (2004.03 – 2011.02) ⚙️🔌

Experience :

  • Assistant Professor, Dept. of Electrical Engineering – Chosun University (2023. 09 – 2023. 08) 👨‍🏫💡
  • Post-doc., Research Institute for Solar and Sustainable Energies (RISE) – Gwangju Institute of Science and Technology (2023. 02 – 2023.08) ☀️🌱
  • Electric Engineer, Distribution Transformer Division – Hyundai (2017. 04 – 2018. 07) 🏭⚡
  • Engineer, Offshore Plant Engineering Center – Korea Shipbuilding & Offshore Engineering (2015. 02 – 2017. 03) 🚢🌊
  • Associate Researcher, Wind Power System Research Center – Korea Shipbuilding & Offshore Engineering (2011. 02 – 2015. 01)
  • Publication Top NOTES :
    Resident Behavior Detection Model for Environment Responsive Demand Response :

    • Authors: K. Baek, E. Lee, J. Kim

    • Published in: IEEE Transactions on Smart Grid, 2021, Vol. 12, Issue 5, Pages 3980-3989

    • Citations: 35

    • Summary: This paper proposes a model for detecting resident behavior in smart grid environments, aiming to optimize demand response (DR) mechanisms. The approach focuses on adjusting electricity usage patterns by predicting and responding to residents’ behavior, enhancing both energy efficiency and grid reliability. This model is crucial for increasing the responsiveness and flexibility of demand response programs in residential areas.

    Evaluation of Demand Response Potential Flexibility in the Industry Based on a Data-Driven Approach :

    • Authors: E. Lee, K. Baek, J. Kim

    • Published in: Energies, 2020, Vol. 13, Issue 23, Article 6355

    • Citations: 28

    • Summary: This study assesses the potential flexibility of demand response programs in industrial settings using a data-driven approach. It evaluates how various industrial processes can be adjusted to provide flexibility in energy consumption without negatively impacting production efficiency. The research also explores the use of real-time data to enhance decision-making in demand response strategies, enabling more effective integration of renewable energy sources.

    Multi-Objective Optimization of Home Appliances and Electric Vehicles Considering Customer’s Benefits and Offsite Shared Photovoltaic Curtailment :

    • Authors: Y. Kwon, T. Kim, K. Baek, J. Kim

    • Published in: Energies, 2020, Vol. 13, Issue 11, Article 2852

    • Citations: 22

    • Summary: This paper discusses a multi-objective optimization approach for managing home appliances and electric vehicles (EVs) while considering customer benefits and photovoltaic (PV) energy curtailment. It focuses on maximizing the benefits to consumers by coordinating the use of home appliances and EVs with the availability of solar energy while reducing the waste of excess PV power. The study is significant for improving the efficiency of residential energy management systems.

    Stochastic Optimization-Based Hosting Capacity Estimation with Volatile Net Load Deviation in Distribution Grids : 

    • Authors: Y. Cho, E. Lee, K. Baek, J. Kim

    • Published in: Applied Energy, 2023, Vol. 341, Article 121075

    • Citations: 13

    • Summary: The research proposes a stochastic optimization method to estimate hosting capacity in distribution grids, accounting for the volatile nature of net load deviation. The study addresses challenges related to integrating renewable energy sources, such as solar and wind, into existing power grids. It develops a model that quantifies the grid’s capacity to absorb additional renewable energy without compromising stability, providing valuable insights for grid operators managing increasing renewable penetration.

    Datasets on South Korean Manufacturing Factories’ Electricity Consumption and Demand Response Participation :

    • Authors: E. Lee, K. Baek, J. Kim

    • Summary: This dataset publication presents detailed information on electricity consumption patterns and the participation of South Korean manufacturing factories in demand response programs. It provides real-world data that can be used to evaluate the effectiveness of demand response strategies and analyze consumption behaviors in industrial sectors. Researchers and energy managers can leverage this dataset to optimize industrial demand response programs and improve grid reliability.

Prof. Haowen Yan | Map Generalization | Best Researcher Award

Published on by Network Awards

Prof. Haowen Yan | Map Generalization | Best Researcher Award

Prof. Haowen Yan, Lanzhou Jiaotong University, China

Prof. Haowen Yan is a distinguished scholar in Geographic Information Science, serving as Professor and Dean of the GIS Department at Lanzhou Jiaotong University, China. With dual Ph.D. degrees from the University of Waterloo, Canada, and Wuhan University, China, he has made significant contributions to geospatial research. His expertise spans automated map generalization, spatial relations, and geovisualization. Prof. Yan has held visiting positions at prestigious institutions like Old Dominion University, USA, and the University of Waterloo, Canada. His groundbreaking research in spatial data watermarking has led to patented innovations. Recognized with national awards, including the National Innovative and Leading Talents in Science and Technology, he continues to advance GIS applications through pioneering methodologies and interdisciplinary collaborations.

🌍 Professional Profile 

Google Scholar

🏆 Suitability for Best Researcher Award 

Prof. Haowen Yan’s prolific contributions to Geographic Information Science make him a prime candidate for the Best Researcher Award. His research spans spatial relations, map generalization, and geovisualization, significantly advancing geospatial analytics. As a leading expert in spatial data security, his patented blind watermarking technique enhances geospatial data protection. He has received prestigious accolades, including China’s National Innovative and Leading Talents award, reflecting his impact on scientific progress. With extensive international collaborations and leadership in GIS education, Prof. Yan has mentored emerging scholars while shaping the future of geospatial research. His work exemplifies innovation, rigor, and practical applications, making him a deserving recipient of this distinguished recognition.

🎓 Education

Prof. Haowen Yan holds two Ph.D. degrees: one in Geography from the University of Waterloo, Canada (2014), and another in Cartography and Geographic Information Engineering from Wuhan University, China (2002). His academic journey began with an M.Sc. in Cartography and Geographic Information Engineering from Wuhan Technical University of Surveying and Mapping (1996). His Ph.D. research at the University of Waterloo, under Prof. Jonathan Li, focused on spatial similarity relations and automated map generalization, while his dissertation at Wuhan University explored formal models of spatial direction relations. His multidisciplinary training in GIS, spatial data analysis, and geovisualization has positioned him as a leading researcher in the field, contributing to technological advancements in geospatial sciences.

💼 Experience 

Prof. Haowen Yan has an extensive career in Geographic Information Science, spanning academia and research leadership. Since 2015, he has served as Professor and Dean of the GIS Department at Lanzhou Jiaotong University. He was a visiting professor at Old Dominion University, USA, in 2014-2015 and a research fellow at the University of Waterloo, Canada. His expertise in automated map generalization, spatial analysis, and GIS applications has led to impactful research and teaching. With a strong foundation in international collaboration, he has significantly contributed to spatial data security through fingerprinting and watermarking innovations. His leadership in GIS education, combined with hands-on research experience, solidifies his reputation as a global authority in geospatial science.

🏅 Awards & Honors 

Prof. Haowen Yan has received numerous prestigious accolades for his contributions to GIS research. In 2018, he was recognized as a Leading Talent in Science and Technology (First Level) in Gansu Province, China. He was selected for China’s National 10,000 Talents Plan in 2016, acknowledging his leadership in scientific innovation. In 2015, he was named an Excellent Teacher at Lanzhou Jiaotong University. His contributions to national technological advancement were further recognized in 2015 and 2016 with the National Innovative and Leading Talents in Science and Technology awards from China’s Ministry of Science and Technology. These honors highlight his pioneering work in geospatial sciences and his lasting impact on GIS research and education.

🔬 Research Focus 

Prof. Haowen Yan’s research spans multiple domains in Geographic Information Science, focusing on automated map generalization, spatial relations, and geovisualization. He has pioneered spatial data fingerprinting and watermarking, ensuring geospatial data integrity and security. His work in We-Map, Machine Learning, and GIS applications has advanced geospatial analytics, making mapping systems more intelligent and efficient. He also explores spatial data modeling, enhancing decision-making in urban planning and environmental management. His interdisciplinary research integrates AI and GIS, improving geospatial data processing for smart cities. His patented innovations in geospatial data protection and machine learning-driven mapping techniques continue to shape the future of digital cartography and spatial analysis.

📊 Publication Top Notes  

  • Automated building generalization based on urban morphology and Gestalt theory

    • Citations: 285

    • Year: 2004

  • Impact Assessment of COVID-19 on Variations of SO₂, NO₂, CO and AOD over East China

    • Citations: 178

    • Year: 2020

  • Impact of COVID-19 lockdown on air quality in Poland, Eastern Europe

    • Citations: 132

    • Year: 2021

  • A multi-parameter approach to automated building grouping and generalization

    • Citations: 119

    • Year: 2008

  • An algorithm for point cluster generalization based on the Voronoi diagram

    • Citations: 115

    • Year: 2008

 

 

Mr. Mohammad Mahdi Badami | Data Analysis | Young Scientist Award

Published on by Network Awards

Mr. Mohammad Mahdi Badami | Data Analysis | Young Scientist Award

Mr. Mohammad Mahdi Badami | University of Southern California | United States

Mehdi Badami is a dedicated Ph.D. candidate in Environmental Engineering at the University of Southern California (USC) under Prof. Constantinos Sioutas. His expertise lies in air quality improvement, with hands-on experience in air pollution monitoring using advanced instrumentation such as SMPS-CPC, OPS, and Aethalometer 51. He specializes in data-driven environmental assessments, employing Python for pollution source apportionment and emission trend analysis. His research contributes to community-centric environmental policies and sustainable air quality solutions. Passionate about environmental justice, he aims to bridge scientific research with real-world policy implementation. 🌱🔬

Professional Profile:

Google Scholar

Suitability for the Young Scientist Award

Mehdi Badami is a strong candidate for the Young Scientist Award due to his significant contributions to environmental engineering, particularly in air quality improvement. As a Ph.D. candidate at the University of Southern California (USC), his research focuses on air pollution monitoring and data-driven environmental assessments. His expertise in advanced instrumentation (e.g., SMPS-CPC, OPS, Aethalometer 51) and Python-based pollution source apportionment makes him a valuable asset to the field.

Education & Experience 🏢🎓

  • Ph.D. Candidate in Environmental Engineering (2022-Present) – USC, Los Angeles, USA 🇺🇸

    • GPA: 3.95/4
    • Advisor: Prof. Constantinos Sioutas

  • M.Sc. in Mechanical Engineering (Fluid Mechanics) (2017-2020) – University of Tehran, Iran 🇮🇷

    • GPA: 3.77/4
    • Supervisors: Dr. Alireza Riasi, Prof. Kayvan Sadeghy

  • B.Sc. in Mechanical Engineering (2012-2016) – K. N. Toosi University of Technology, Iran 🇮🇷

  • Research Assistant – USC Aerosol Lab (2023–Present) 🏭🌫️

    • Conducted air pollution measurements using state-of-the-art monitoring systems
    • Developed Python programs for data automation and pollution trend analysis
    • Led collaborations with institutions like Harvard, UCLA, and Dresden University
    • Mentored Ph.D. students on environmental research projects

  • Research Assistant – Hydro-kinetic Energy Lab, University of Tehran (2017–2022) 🔬💧

    • Investigated fluid mechanics phenomena related to blood hammer effects in arteries

  • Teaching Assistant – USC & University of Tehran (2018–2024) 📚👨‍🏫

    • Assisted in courses on climate change, air quality, fluid mechanics, and thermodynamics

Professional Development 🚀

Mehdi Badami has actively contributed to the field of environmental engineering through cutting-edge research on air pollution, sustainability, and emission control. His extensive knowledge of aerosol science, atmospheric chemistry, and data analysis allows him to assess air quality trends with precision. He has developed innovative models for pollution source apportionment, worked on real-time monitoring systems, and collaborated with leading institutions to improve urban air quality. His passion for environmental justice drives his work towards creating actionable solutions that ensure healthier air for communities. His dedication extends beyond academia, as he actively engages in outreach and policy-driven initiatives. 🌿📊

Research Focus 🔍

Mehdi’s research centers on air pollution control, environmental monitoring, and sustainable urban development. His work involves identifying and mitigating pollution sources through field measurements and computational models. He specializes in:

  • Air Quality Assessment 🌫️📊 – Studying PM2.5 and ultrafine particle pollution in urban environments
  • Pollution Source Apportionment 🏭⚖️ – Analyzing emissions from vehicles, industries, and natural sources
  • Aerosol Science 🌪️💨 – Investigating the toxicity and health impacts of airborne particles
  • Machine Learning in Environmental Studies 🤖📉 – Utilizing data science to model pollution trends
  • Climate and Environmental Justice 🌎⚖️ – Advocating for equitable air quality policies in urban communities

Awards & Honors 🏆

  • Outstanding Research Assistant Award – USC, Sonny Astani Department of Civil and Environmental Engineering (2024) 🏅
  • Fellowship Award – USC (2022-2023) 🎓💰 (Recognized for academic excellence in Environmental Engineering)
  • National Fellowship for Master’s Studies – University of Tehran (2017) 📖🏆
  • Top 0.15% Rank in National Entrance Exam – Iran (Competitive ranking in Mechanical Engineering)

Publication Top Notes:

📄 Design, optimization, and evaluation of a wet electrostatic precipitator (ESP) for aerosol collection – Atmospheric Environment (2023) – 📑 Cited by: 11
📄 Size-segregated source identification of water-soluble and water-insoluble metals and trace elements of coarse and fine PM in central Los Angeles – Atmospheric Environment (2023) – 📑 Cited by: 7
📄 Numerical study of blood hammer phenomenon considering blood viscoelastic effects – European Journal of Mechanics-B/Fluids (2022) – 📑 Cited by: 7
📄 Development and performance evaluation of online monitors for near real-time measurement of total and water-soluble organic carbon in fine and coarse ambient PM – Atmospheric Environment (2024) – 📑 Cited by: 4
📄 Numerical analysis of laminar viscoelastic fluid hammer phenomenon in an axisymmetric pipe – Journal of the Brazilian Society of Mechanical Sciences and Engineering (2021) – 📑 Cited by: 3
📄 Urban emissions of fine and ultrafine particulate matter in Los Angeles: Sources and variations in lung-deposited surface area – Environmental Pollution (2025) – 📑 Cited by: 1