Assistant Professor at Gachon University, South Korea
Dr. Lilia Tightiz is an accomplished Assistant Professor at Gachon University, Korea, specializing in Computer Science and Engineering. She earned her Ph.D. in Computer Science and Engineering from Sejong University, Korea, in February 2022. With over 15 years of experience in the Electric Power Distribution Industry, Dr. Tightiz has made significant contributions in the design, utilization, and maintenance of electricity distribution grids. She has received numerous accolades, including world-class prizes for her inventions and contributions to the power distribution sector. Dr. Tightiz’s research interests span microgrid energy management, smart grid communication, and quantum machine learning, with a focus on deep reinforcement learning applications in power systems.
Profile🎓
Early Academic Pursuits 🎓
Lilia Tightiz began her academic journey in the field of Computer Science and Engineering, receiving her Ph.D. degree from Sejong University, Korea, in February 2022. Her early academic pursuits were driven by a passion for technological advancements in the electric power distribution sector, which laid the foundation for her future research in microgrid energy management systems and smart grids. Her doctoral research focused on deep, specialized topics within power systems and energy management, helping her build a strong foundation in renewable energy integration and smart grid technologies. With a solid academic background in engineering and computer science, Dr. Tightiz combines practical and theoretical insights to approach modern energy challenges.
Professional Endeavors ⚡
Dr. Tightiz has accumulated over 15 years of professional experience in the Electric Power Distribution Industry. As a Power Distribution Engineer, she contributed to the design, utilization, and maintenance of electricity distribution grids, working on several impactful projects. Her expertise in the sector is demonstrated through her numerous patents and recognition in prestigious forums such as the International Trade Fair for Ideas, Inventions, New Products in Nuremberg, Germany, and the Korean International Women Invention event. These accolades highlight her global influence and her role in transforming the power distribution industry. Dr. Tightiz has also contributed significantly to energy technology exhibitions, such as the Bitgaram International Exposition of Electric Power Technology and the International Invention Fair.
Contributions and Research Focus 🔬
Dr. Tightiz’s research is centered around microgrid energy management, smart grid communication structures, and deep reinforcement learning applications in power systems. She has delved into the intersection of electric vehicles (EVs), charging/discharging scheduling, and quantum machine learning, which are emerging areas in the modern energy landscape. Her work also explores the integration of IEC 61850 and IEC 62439 standards into smart grid systems, ensuring seamless communication and improved system resilience. Dr. Tightiz is particularly focused on optimizing energy efficiency and enhancing grid stability, leveraging cutting-edge technologies like deep reinforcement learning to offer innovative solutions for energy management systems in microgrids.
Impact and Influence 🌍
Dr. Tightiz has had a significant impact on both industry practices and academic research in the power distribution and energy management sectors. Her participation in international trade fairs and expos, along with her patents and world-class prizes, underscores her influence on global energy systems. As an associate editor for the e-Prime (Elsevier) Journal, she has contributed to advancing knowledge and fostering innovation in her field. Her work has been pivotal in bridging the gap between traditional power systems and emerging smart grid technologies, and her contributions are shaping the future of sustainable energy.
Academic Cites 📚
Dr. Tightiz’s research has garnered significant attention, with her work being widely cited in top-tier journals and conferences. Her academic contributions, particularly in deep reinforcement learning and smart grid communication, have positioned her as a leading expert in the field of power systems and energy management. Her efforts to integrate quantum machine learning with power distribution have been recognized as cutting-edge, with increasing citations and collaborations from leading institutions and industry stakeholders.
Technical Skills 🛠️
Dr. Tightiz’s technical expertise spans a wide array of skills and knowledge areas that are critical for modern power systems. She is proficient in deep reinforcement learning algorithms, smart grid communication protocols (IEC 61850, IEC 62439), and the development of microgrid energy management systems. Additionally, she is well-versed in energy optimization techniques, power system modeling, and quantum computing applications in power grids. Her multi-disciplinary skill set makes her a versatile researcher and educator in both engineering and computer science.
Teaching Experience 👩🏫
Dr. Tightiz currently serves as an assistant professor at Gachon University, Korea, where she began her academic career in April 2022. Her teaching focuses on cutting-edge topics such as smart grids, power systems, machine learning, and quantum computing in energy applications. Her strong professional background allows her to bring real-world experiences into the classroom, making her lectures highly relevant to current energy challenges. Dr. Tightiz fosters an interactive learning environment, encouraging her students to engage with modern technologies like microgrids and reinforcement learning algorithms to solve pressing energy issues.
Legacy and Future Contributions 🌟
Dr. Tightiz’s legacy is already being shaped by her innovative contributions to the power distribution industry and her leading-edge research in smart grid technologies. Looking forward, she aims to further advance the integration of quantum machine learning in power system optimization and continue her work on microgrids. Her future research will explore sustainable energy solutions and contribute to the global transition towards renewable energy. Dr. Tightiz is also focused on training the next generation of energy scientists and engineers, with a focus on developing innovative technologies that will drive energy sustainability and grid stability.
Top Noted Publications📖
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- Authors: Lilia Tightiz, L. Minh Dang, Sanjeevikumar Padmanaban, Kyeon Hur
- Journal: Energy Reports
- Year: 2024
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- Authors: Hari Mohan Rai, Kaustubh Kumar Shukla, Lilia Tightiz, Sanjeevikumar Padmanaban
- Journal: Heliyon
- Year: 2024
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- Authors: Lilia Tightiz, Joon Yoo
- Journal: Mathematics
- Year: 2024
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- Authors: Mousa Alizadeh, Lilia Tightiz, Morteza Azimi Nasab
- Journal: World Electric Vehicle Journal
- Year: 2024
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- Authors: Lilia Tightiz, Rashid Nasimov, Morteza Azimi Nasab, Mohamed Louzazni
- Journal: International Journal of Energy Research
- Year: 2024
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- Authors: Mehdi Hosseinzadeh, Joon Yoo, Saqib Ali, Jan Lansky, Stanislava Mildeova, Mohammad Sadegh Yousefpoor, Omed Hassan Ahmed, Amir Masoud Rahmani, Lilia Tightiz
- Journal: Scientific Reports
- Year: 2023
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- Authors: Mehdi Hosseinzadeh, Adil Hussein Mohammed, Amir Masoud Rahmani, Farhan A. Alenizi, Seid Miad Zandavi, Efat Yousefpoor, Omed Hassan Ahmed, Mazhar Hussain Malik, Lilia Tightiz
- Journal: PLOS ONE
- Year: 2023