Kyuil Kwak | Energy | Industry Impact Award

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Mr. Kyuil Kwak | Energy | Industry Impact Award

Mr. Kyuil Kwak, Korea University, South Korea

Kyuil Kwak is a Ph.D. candidate in Energy & Environment Policy at Korea University, specializing in energy system modeling, environmental economic assessment, and behavioral science. 🌱🔋 He holds a Master’s in Atmospheric Chemistry, focusing on air quality and PM2.5 source apportionment, and a Bachelor’s in Mechanical Engineering. 🚗🌬️ Kyuil has contributed to major research projects on carbon neutrality, energy storage optimization, and air pollutant emission inventories. 📊⚙️ He has published extensively on renewable energy strategies and community acceptance of hydrogen technology. Kyuil also has experience as a researcher and teaching assistant, mentoring undergraduates and supporting environmental policy research.

Publication Profile

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Education 🎓

Kyuil Kwak is currently a Ph.D. candidate in Energy & Environment Policy at Korea University (since 2022), specializing in energy system modeling, economic assessment, behavioral science, and innovation policy under Prof. JongRoul Woo. He earned his Master’s degree in Atmospheric Chemistry from Korea University (2018–2020), where his thesis focused on source apportionment of PM2.5 emissions at the Socheongcho Ocean Research Station, studying air quality and greenhouse gases in North-East Asia. Previously, he completed a Bachelor of Mechanical Engineering at Hongik University (2010–2017), with a project on vehicle crashworthiness using computational analysis, emphasizing impact efficiency and design optimization.

Work Experience 💼

Kyuil Kwak has extensive experience in research and mentoring roles. Since 2022, he works as a Research and Teaching Assistant at Korea University, supporting courses in calculus and energy system modeling, and mentors undergraduates in the Integrative Energy Engineering Department. Previously, he was a researcher at The Seoul Institute (2020–2022), focusing on environmental policies and air quality modeling for Seoul City Hall. He also managed ocean research projects and taught Earth Science labs at Korea University (2018–2020). Kyuil contributed to wood engineering research at the National Institute of Forest Science (2017), assisted in fuel pump development at Korea Automotive Technology Institute (2016), and served in the Korea Army in landmine reconnaissance (2013–2015).

Awards and Grants 🏆

Kyuil Kwak has received several prestigious awards and scholarships throughout his academic career. In 2023, he was honored as the Student of the Year (2022) at the Graduate School of Energy and Environment, Korea University. He earned scholarships for his roles as a Teaching and Research Assistant in 2022 and also in 2018 and 2019 from the Department of Earth and Environmental Science, Korea University. Additionally, in August 2016, Kyuil was a finalist in the 6th Student Creative Design Competition, showcasing his skills in mechanical design. These recognitions highlight his dedication and excellence in both academics and research. 🎓✨

Research Focus Areas 🔬🌍⚡

Kyuil Kwak’s research spans diverse fields including environmental science, energy policy, and atmospheric chemistry. His work focuses on energy system modeling and sustainable energy transitions, as reflected in projects like PyPSA-Korea for Korea’s electricity network planning. He investigates air quality issues, particularly PM2.5 pollution and ozone formation, through atmospheric chemistry studies and source apportionment in marine and urban environments. Additionally, Kwak contributes to policy analysis on electric vehicle adoption and hydrogen refueling infrastructure. Earlier research also includes geotechnical engineering related to scour rate predictions. Overall, his interdisciplinary expertise bridges energy, environment, and policy for sustainable development.

Publication Top Notes

  • Erosion function apparatus for scour rate predictions – JL Briaud, FCK Ting, HC Chen, Y Cao, SW Han, KW Kwak | 661 citations | 2001 ⚙️🌊

  • Multiflood and multilayer method for scour rate prediction at bridge piers – JL Briaud, HC Chen, KW Kwak, SW Han, FCK Ting | 120 citations | 2001 🌉📊

  • Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia – S Choi, K Kwak, S Yang, S Lim, JR Woo | 22 citations | 2022 🛴📈

  • The SRICOS-EFA Method, Summary Report – JL Briaud, HC Chen, KA Chang, SJ Oh, S Chen, J Wang, Y Li, K Kwak | 14 citations | 2011 📑🔧

  • The role of HONO in O3 formation during KORUS-AQ Campaign – J Gil, J Kim, M Lee, G Lee, D Lee, J Jung, J An, J Hong, S Cho, J Lee, … | 12 citations | 2019 🌫️🔬

  • Analyzing community acceptance of hydrogen refueling stations in South Korea – K Kwak, JR Woo, J Ahn | 1 citation | 2024 ⛽💡

  • PyPSA-Korea: Open-source energy system model for Korea’s sustainable energy transition – K Kwak, W Son, YH Yang, JR Woo | 0 citations | 2025 ⚡🌍

  • Unlocking Peak Shaving: How EV driver heterogeneity shapes V2G potential – S Yun, JR Woo, K Kwak | 0 citations | 2025 🔋🚗

  • PyPSA-KR: Energy system modelling of Korean electricity network – K Kwak | 0 citations | 2024 ⚡🖥️

 

Ihsan Ullah | Neural Network | Best Researcher Award

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Mr. Ihsan Ullah | Neural Network | Best Researcher Award

Mr. Ihsan Ullah, Abdul Wali khan university Marden Kp Pakistan, Pakistan

Ihsan Ullah is a dedicated researcher in fuzzy systems and artificial intelligence, pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan. With a solid foundation from his BS in Mathematics (CGPA 3.48/4), his research interests include fuzzy decision-making, neural networks, IoT, and multi-criteria decision-making. Ihsan has authored impactful papers in high-impact journals, including IEEE Access and Artificial Intelligence Review. Skilled in MATLAB and Mathematica, he also reviews for prestigious journals like Expert Systems with Applications. Fluent in English, Urdu, and Pashto, Ihsan is passionate about advancing AI for complex decision-making challenges. 📚💻✈️

 

Publication Profile

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Educational Background

Ihsan Ullah is pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan (2023–present), maintaining an impressive CGPA of 3.69/4 (coursework only; thesis ongoing) 📊. He holds a BS in Mathematics from the same institution (2019–2023), graduating with a CGPA of 3.48/4. His undergraduate project focused on “Double Hierarchy Hesitant Linguistic Term Set and Their Application to Decision-Making Problems” 🤖✨. Ihsan is affiliated with the Department of Mathematics at Abdul Wali Khan University 📍 and actively engages in academic platforms like ORCID, Google Scholar, and ResearchGate 🌐

Research Interests

Ihsan Ullah’s research is centered around innovative approaches to decision-making and optimization using advanced computational techniques. His interests include fuzzy decision-making systems 🤖, artificial neural networks 🌐, and fuzzy neural networks, with applications in multi-criteria decision-making and network selection. He explores fuzzy credibility neural networks and optimization techniques to enhance problem-solving. Ihsan also focuses on fuzzy graph theory 🕸️, graph neural networks, and three-way decision-making processes. His work extends to linguistic neural networks 🗣️, the Internet of Things (IoT) 🌐, and fuzzy control systems ⚙️, aiming to create intelligent systems for real-world applications.

 

Publication Top Notes

  • “A new approach to neural network via double hierarchy linguistic information: Application in robot selection” – Y Zhang, S Abdullah, I Ullah, F Ghani – Engineering Applications of Artificial Intelligence 129, 107581 (Cited by: 30) 📊, 2024 📅
  • “A new approach to artificial intelligent based three-way decision making and analyzing S-Box image encryption using TOPSIS method” – S Abdullah, AO Almagrabi, I Ullah – Mathematics 11(6), 1559 (Cited by: 12) 📚, 2023 📅
  • “Analyzing the deep learning techniques based on three way decision under double hierarchy linguistic information and application” – S Abdullah, I Ullah, F Khan – IEEE Access (Cited by: 5) 🧠, 2023 📅
  • “Using a fuzzy credibility neural network to select nanomaterials for nanosensors” – SS Abosuliman, S Abdullah, I Ullah – Engineering Applications of Artificial Intelligence 136, 108958 (Cited by: 3) 🔬, 2024 📅
  • “Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network” – S Abdullah, I Ullah, F Ghani – Artificial Intelligence Review 57(8), 191 (Cited by: 2) 🌐, 2024 📅
  • “An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information” – M Nawaz, S Abdullah, I Ullah – Computers in Biology and Medicine 186, 109606 (Cited by: 0) 🏥, 2025 📅

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

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Dr. Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA, Université Douala/ENSPD, Cameroon

Born on April 9, 1993, in Douala, Cameroon, Dr. Orelien BOUPDA is a skilled Thermal and Energy Engineer. He holds a Master 2 in Mechanical Energy Research from ENSPD Douala (2021) and a Master 2 in Thermal Energy from ENSAI Ngaoudéré (2016). His expertise spans electromechanics, industrial electricity, refrigeration, air conditioning, and solar energy systems. Dr. BOUPDA is proficient in technical schematics, industrial automation, and photovoltaic installations. Fluent in French and intermediate in English, he thrives in cross-disciplinary environments. An avid traveler and reader 📚✈️, he combines technical prowess with a passion for cultural exploration. 🌟

 

Publication Profile

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Educational Journey

Dr. Orelien BOUPDA has a remarkable academic background in thermal and energy engineering. He earned a Master 2 in Mechanical Energy Research from ENSPD Douala (2020-2021) and a Master 2 in Thermal Energy Engineering from ENSAI Ngaoudéré (2015-2016). He also holds a professional license in Maintenance and Industrial Production (2013-2014) with a focus on Energy and Climate Engineering. Additionally, he completed a BTS in Refrigeration and Air Conditioning at IUG (2012-2013) and obtained his Baccalaureate F5 in Refrigeration and Air Conditioning from Lycée Technique de Nylon Douala (2010-2011). 🌍🔧⚡

 

Technical Expertise

Dr. Orelien BOUPDA demonstrates extensive expertise in various technical domains. His skills include industrial automation and electrotechnics, specializing in wiring, coupling, and maintaining electric circuits and motors. He excels in industrial and building electricity, handling design, dimensioning, wiring, and maintenance. Proficient in refrigeration and air conditioning ❄️, he designs, installs, and maintains cold storage systems and other cooling equipment. His electromechanical skills cover the installation and upkeep of generators. Dr. BOUPDA also specializes in solar energy 🌞, particularly in photovoltaic systems, and has advanced proficiency in technical schematics and computer tools. His knowledge reflects versatility and innovation. 🚀

 

Research Focus

Dr. Orelien BOUPDA’s research primarily focuses on sustainable energy systems, refrigeration technologies, and thermodynamic analysis. His notable work, Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector 🌍🔬, explores innovative solutions for improving energy efficiency in refrigeration systems using solar energy and advanced thermodynamic processes. This study highlights his expertise in energy conversion, CO2 refrigeration, and eco-friendly technologies aimed at reducing environmental impact. Dr. BOUPDA’s research aligns with global priorities in renewable energy integration and sustainable engineering, making significant contributions to green energy initiatives. ♻️🚀

 

Publication Top Notes

Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector