Karam Khairullah | Energy | Best Researcher Award

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Dr. Karam Khairullah | Energy | Best Researcher Award

Dr. Karam Khairullah | University of Malaya | Malaysia

Dr. Karam Khairullah is a distinguished researcher in electrical engineering with a PhD from Universiti Teknologi Malaysia, a master’s degree in control systems from Universiti Teknikal Malaysia Melaka where he was recognized as the best postgraduate student, and a bachelor’s degree in power and machines engineering from the University of Mosul. His research interests span metaheuristic and bio-inspired algorithms, artificial intelligence, renewable energy, photovoltaic systems, maximum power point tracking, grid-connected solar systems, storage technologies, power system protection, wireless power transfer, fuel cells, electric vehicles, and energy efficiency. He has published extensively in high-impact Q1 and Q2 journals, contributing innovative methods for power optimization and renewable energy integration. Professionally, he has lectured at the University of Mosul and currently serves as a Postdoctoral Fellow at the University of Malaya. With prior industry experience in telecommunications and expertise in advanced simulation tools, he combines academic excellence with applied engineering innovation.

Publication Profile

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Educational Background

Dr. Karam Khairullah has built a strong academic foundation in the field of electrical engineering through his distinguished educational journey. He earned his Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia, where he specialized in advanced research areas that align with renewable energy and intelligent control systems. Prior to this, he completed his Master’s degree in Electrical Engineering with a focus on control systems at Universiti Teknikal Malaysia Melaka, where he was honored as the best postgraduate student, reflecting both his academic excellence and dedication to innovation. His educational path began with a Bachelor’s degree in Electrical Engineering with a specialization in power and machines from the University of Mosul, which provided him with a solid technical base in electrical systems and energy applications. Collectively, his academic achievements highlight a consistent pursuit of excellence and a commitment to advancing knowledge in electrical engineering and renewable energy technologies.

Professional Experience

Dr. Karam Khairullah has gained extensive experience in both academia and industry, combining teaching, research, and practical engineering expertise. In the academic field, he served as a lecturer at the University of Mosul in the Faculty of Engineering, where he contributed to educating future engineers and advancing research initiatives. He is currently a Postdoctoral Fellow in the Department of Electrical Engineering at the University of Malaya, where his focus lies in renewable energy, control systems, and intelligent optimization techniques. Alongside his academic career, Dr. Karam has professional experience in the telecommunications sector, having worked with major companies. His expertise includes microwave implementation and operations with Huawei and Nokia Siemens systems, BTS installation, and hardware maintenance. He has also worked with various industry-standard software platforms, including Huawei U2000, NSN license manager, Ericsson OMT, and Putty-based systems, reflecting his strong technical background and multidisciplinary capabilities.

Research Focus

Dr. Karam Khairullah’s research focus lies in the advancement of renewable energy systems, intelligent optimization techniques, and power electronics. His work predominantly centers on the development of maximum power point tracking strategies for photovoltaic systems under varying and complex conditions, such as partial shading and load fluctuations. By integrating artificial intelligence, bio-inspired algorithms, and metaheuristic approaches, he has contributed significantly to enhancing the efficiency, reliability, and adaptability of solar energy technologies. His research also extends to hybrid energy management systems, including PV-battery storage-grid integration for electric vehicle charging, demonstrating his commitment to sustainable energy solutions. Moreover, his studies in intelligent fault detection and control mechanisms for power transmission systems highlight his broader contribution to power system protection and stability. Collectively, his research addresses critical challenges in renewable energy utilization and power optimization, positioning him as a leading contributor to the fields of energy efficiency, smart grid systems, and sustainable electrification.

Publication Top Notes

A modified perturb and observe MPPT for a fast and accurate tracking of MPP under varying weather conditions
Year: 2023
Citations: 45

Improved coot optimizer algorithm-based MPPT for PV systems under complex partial shading conditions and load variation
Year: 2024
Citations: 37

Improved rat swarm optimizer algorithm-based MPPT under partially shaded conditions and load variation for PV systems
Year: 2022
Citations: 37

Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations
Year: 2024
Citations: 35

Hybrid global maximum power tracking method with partial shading detection technique for PV systems
Year: 2021
Citations: 32

Conclusion

Dr. Karam Khairullah stands out as an innovative and prolific researcher whose contributions to renewable energy systems, control algorithms, and power electronics have significantly advanced the field. With his blend of academic excellence, impactful publications, and applied expertise, he is a highly suitable candidate for the Research for Best Researcher Award, reflecting strong merit and future potential.

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

Google Scholar

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 ⚡🖥️

 

Minseok Ryu | Energy | Best Researcher Award

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Minseok Ryu | Energy | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, Tempe, AZ. He holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan and an M.S. and B.S. in Aerospace Engineering from KAIST. Dr. Ryu’s research spans advanced scientific computing, privacy-preserving federated learning, and power system resilience. He has held notable positions at Argonne and Los Alamos National Laboratories and has been recognized by the Department of Energy for his highlighted research. He is a member of prominent societies like INFORMS and IEEE. 🌟🧑‍🏫🔬

Publication profile

google scholar

Education 

Her hold a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, completed in May 2020 🎓. Prior to this, I earned a Master’s degree in Aerospace Engineering from KAIST in Daejeon, Korea, in February 2014 🚀. My academic journey began with a Bachelor’s degree in the same field at KAIST, which I completed in February 2012 ✈️. This extensive background has equipped me with a robust understanding of both industrial systems and aerospace technologies, paving the way for a dynamic and interdisciplinary career 🛠️🌍.

Honors & Awards

In 2024, I had the honor of being an Alliance Fellow with the Mayo Clinic and ASU Alliance for Health Care during their esteemed Faculty Summer Residency program. My research has consistently been recognized, including being highlighted by the Department of Energy’s Advanced Scientific Computing Research in both 2023 and 2022 🌟. My academic journey has been supported by several prestigious awards, such as the Rackham Graduate Student Research Grant from the University of Michigan in 2016 🎓 and multiple fellowships in 2015. Additionally, my early academic achievements include the National Science Foundation Student Award 🏆 and recognition from the Government of Korea for outstanding scholarship 🌍.

Employment 💼

He is currently an Assistant Professor at Arizona State University (since August 2023), after a tenure as a Postdoctoral Appointee at Argonne National Laboratory from 2020 to 2023.

Research focus

M. Ryu’s research spans privacy-preserving federated learning frameworks, including differential privacy and distributed control of optimal power flow in electric grids. They also contribute to distributionally robust optimization techniques for scheduling and staffing problems, particularly in healthcare and power systems. Their work emphasizes practical algorithms and frameworks (like APPFL) for enhancing privacy and efficiency in distributed systems. Additionally, they explore mitigating uncertain impacts of geomagnetic disturbances on electric grids. Overall, M. Ryu’s research integrates optimization, privacy, and robustness into practical applications across diverse domains. 📊🔒

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx