Mr. Manoranjan Sahoo – Electrical Power system – Best Researcher Award

National institute of technology, Rourkela - India 

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⚡ Early academic pursuits

Manoranjan Sahoo’s journey in electrical engineering began with a bachelor’s degree from g.i.t.a., bhubaneswar, where he specialized in electrical engineering, graduating with a cgpa of 7.3 in 2016. motivated by a deep passion for power systems, he pursued an m.tech in power system engineering at n.i.t. silchar, where he achieved a commendable cgpa of 8.3 in 2020. his academic dedication culminated in his doctoral studies at n.i.t. rourkela, where he submitted his thesis with an impressive cgpa of 8.6, demonstrating his expertise in power systems and machine learning applications.

🔧 Professional endeavors

Manoranjan’s professional trajectory includes significant teaching and research contributions. he has taught foundational and advanced courses such as basic electrical lab, electrical machine lab, and power system simulation lab, empowering students with practical and theoretical knowledge. his hands-on expertise with advanced tools like matlab/simulink, python, and real-time simulation platforms such as opal-rt reflects his technical proficiency. his roles have consistently bridged academia and applied research, ensuring impactful learning environments for aspiring engineers.

🌐 Contributions and research focus

His research spans critical areas in power systems, focusing on grid integration, deregulated power markets, and dynamic stability studies. his ph.d. work centers on developing machine-learning-based methods for detecting low-frequency oscillatory modes in power systems using phasor measurement units (pmus). he has also Electrical Power system delved into the challenges of dealing with bad data in pmu signals, implementing both supervised and unsupervised learning techniques. his m.tech project explored optimal bidding strategies in deregulated power markets, while his b.tech work focused on photovoltaic array integration, showcasing a blend of theoretical rigor and practical innovation.

🏅 Accolades and recognition

Manoranjan’s academic journey is marked by his consistent achievements, including a strong cgpa record in his higher education pursuits. his contributions to the Electrical Power system field of power systems and machine learning are highly regarded, reflecting his commitment to excellence in research and innovation. the successful submission of his doctoral thesis stands as a testament to his expertise and diligence in addressing complex problems in electrical engineering.

🌍 Impact and influence

Through his research, Manoranjan has contributed to enhancing the reliability and efficiency of modern power systems. his innovative approaches to tackling Electrical Power system challenges such as low-frequency oscillations in power systems have the potential to influence wide-area monitoring systems worldwide. his commitment to teaching ensures the dissemination of advanced knowledge and practices to the next generation of engineers, amplifying his impact on the field.

🚀 Legacy and future contributions

Manoranjan’s work in power systems and his integration of machine learning into electrical engineering research pave the way for innovative solutions in energy management and stability. his technical expertise and academic contributions position him as a thought leader in modern power systems, ensuring a legacy of impactful research and practical applications in a rapidly evolving energy landscape. with his dedication and skillset, he is poised to make significant advancements in the field, contributing to the global shift towards smarter and more sustainable power systems.

Notable Publications 

  • Title: A Partitioning Around Medoids (PAM) Based Sequential Clustering Approach for Model Order Estimation of Low-Frequency Oscillations in Wide Area Measurement System
    Authors: Manoranjan Sahoo, Shekha Rai
    Journal: Sādhanā
  • Title: Model Order Estimation for Low-Frequency Oscillations in Power Systems by an Advanced K-Mean Clustering Approach
    Authors: Manoranjan Sahoo, Jangam Sandeep, Shekha Rai
    Journal: Electric Power Systems Research

Prof. Sungju Im  – Environmental engineering – Best Researcher Award

Prof. Sungju Im  - Environmental engineering - Best Researcher Award

Gyengsang national university - South Korea

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Early academic pursuits 🎓

Sungju Im's academic journey in environmental engineering began with a master’s degree at sungkyunkwan university, korea, where he specialized in water resources and environmental engineering. his thesis focused on the performance evaluation of two-stage spiral wound forward osmosis (fo) elements under various operating conditions. his deep interest in water treatment technologies during his graduate studies laid the foundation for his future research in sustainable desalination processes.

Professional endeavors 🏢

After completing his m.s., sungju continued his academic and professional journey at gyeongsang national university, where he earned his ph.d. in environmental engineering. as part of the department of environmental engineering, his work has been closely linked to developing and improving water purification technologies, particularly forward osmosis (fo). this research focus has positioned him as a key contributor to innovations in water and desalination processes.

Contributions and research focus 🔬

Sungju im's research is centered on the techno-economic evaluation of forward osmosis as an alternative water treatment and desalination process. his work aims to Environmental engineering optimize fo systems to improve efficiency and make them more viable for large-scale applications. by addressing challenges like energy consumption and operational conditions, sungju contributes to making desalination more sustainable and accessible. his studies on spiral wound fo elements are particularly noted for their potential in enhancing industrial water recovery methods.

Accolades and recognition 🏅

Sungju has received recognition for his contributions to the field of environmental engineering. his research has been published in prominent journals, where his Environmental engineering work on fo systems is praised for its innovation and practical application. his expertise in this niche has garnered respect both within academic circles and the water treatment industry. his achievements reflect his commitment to advancing water purification technologies.

Impact and influence 🌍

Through his work, sungju im has had a significant impact on the global water industry. his research into forward osmosis presents a promising solution for water-scarce regions, offering a sustainable and cost-effective alternative to traditional desalination methods. his contributions are instrumental in driving forward the Environmental engineering adoption of fo technologies, providing innovative methods to address the global water crisis.

Legacy and future contributions 🔮

Sungju im's legacy lies in his pioneering work on forward osmosis and its potential to revolutionize water treatment. his dedication to improving the efficiency and economic viability of desalination technologies ensures that his research will have lasting effects on both the environment and the future of water engineering. his future contributions are likely to further enhance the practicality of fo in large-scale applications, making a tangible difference in global water management.

Notable Publications

  1. Title: "An efficient data-driven desalination approach for the element-scale forward osmosis (FO)-reverse osmosis (RO) hybrid systems"
    Authors: Im, S.-J., Viet, N.D., Lee, B.-T., Jang, A.
    Journal: Environmental Research, 2023, 237, 116786
  2. Title: "Supercritical carbon dioxide fluid cleaning of extracellular polymeric substance surrogates on seawater reverse osmosis membranes"
    Authors: Jung, B., Im, S., Westerhoff, P., Park, K.
    Journal: Desalination, 2023, 559, 116637
  3. Title: "High-Efficiency Recovery of Acetic Acid from Water Using Electroactive Gas-Stripping Membranes"
    Authors: Im, S., Jung, B., Wang, X., Hoek, E.M.V., Jassby, D.
    Journal: Environmental Science and Technology, 2023, 57(27), pp. 10096–10106
  4. Title: "Simple and Low-Cost Electroactive Membranes for Ammonia Recovery"
    Authors: Wang, X., Im, S., Jung, B., Hoek, E.M., Jassby, D.
    Journal: Environmental Science and Technology, 2023, 57(25), pp. 9405–9415
  5. Title: "Feasibility assessment of alternative environmentally friendly disinfection technique for reverse osmosis-based desalination process"
    Authors: Im, S., Jang, A.
    Journal: Desalination, 2023, 553, 116458