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

National institute of technology, Rourkela - India 

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ORCID

⚡ 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

Assist Prof Dr.  Shima Sadaf – Power Electronics – Best Researcher Award

Assist Prof Dr.  Shima Sadaf - Power Electronics - Best Researcher Award

King Faisal University - Saudi Arabia

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GOOGLE SCHOLAR

Early academic pursuits 📚

Shima Sadaf's journey into the world of electrical engineering began with a b.tech in electrical engineering from aligarh muslim university in 2004, where she displayed a strong foundation in power systems and electrical machinery. her interest in energy and power dynamics deepened during her m.tech at the same institution, where she graduated with honors in 2007, focusing on power systems & drives. her early projects, such as designing high-voltage transmission lines and transformers, laid the groundwork for her future in cutting-edge research and teaching.

Professional endeavors 🏫

currently an assistant professor at the department of electrical engineering, king faisal university, shima has shaped her career around power electronics, renewable energy, and microgrid/nanogrid applications. she has taken on various teaching and mentoring roles, helping to shape the next generation of engineers. her involvement in courses like power systems engineering and renewable energy technologies showcases her commitment to advancing sustainable energy solutions while fostering a supportive learning environment for her students.

Contributions and research focus 🌿

Shima’s research focuses on the future of renewable energy, especially in the fields of microgrid and nanogrid applications. her ph.d. research at qatar university, completed in 2022 with distinction and a gold medal, was a significant contribution to the field of power electronics. she developed innovative high-gain dc-dc Power Electronics converters tailored for nanogrid applications, helping to solve critical issues related to energy efficiency and stability. her work has opened new doors in wireless power transfer and electric vehicle applications, aligning with the global transition toward sustainable energy.

Accolades and recognition 🏆

throughout her academic journey, shima has earned several recognitions. most notably, her distinction and gold medal for her ph.d. from qatar university highlight her academic excellence and pioneering work in renewable energy and power electronics. she is also a valued member of ieee, leed ap bd+c, and a certified project Power Electronics management professional (pmp®), which reflects her multidisciplinary expertise and her contributions to the global engineering community.

Impact and influence 🌍

Shima’s work extends beyond her own research; she actively contributes to the development of energy-efficient technologies and inspires her students to engage with renewable energy. her research on microgrids, high-gain dc-dc converters, and wireless power transfer is influencing modern approaches to energy distribution, Power Electronics particularly in high-demand applications such as electric vehicles and sustainable power systems. her mentorship and guidance have also shaped many aspiring engineers, encouraging them to think critically and innovate in the field of energy engineering.

Legacy and future contributions 🔮

Shima sadaf’s legacy is deeply intertwined with the future of sustainable energy. her innovative approaches to power electronics and renewable energy applications will continue to influence future generations of researchers and engineers. her ongoing work in microgrid technologies and electric vehicle power systems positions her as a leader in the global shift toward greener energy solutions, ensuring that her contributions will have a lasting impact on both academia and industry.

Notable Publications 

A novel modified switched inductor boost converter with reduced switch voltage stress  2020

Transformer-less boost converter with reduced voltage stress for high voltage step-up applications  2021

A New High Gain Active Switched Network- Based Boost Converter for DC Microgrid Application  2021

Modeling, Analysis, and Implementation of a Switched-Inductor Based DC/DC Converter with Reduced Switch 2021

A single inductor, single switch high gain DC-DC Boost converter  2020