Teshome Lindi Kumissa | power systems | Best Researcher Award

Teshome Lindi Kumissa | power systems | Best Researcher Award

Dr. Teshome Lindi Kumissa, Hawassa University Institute Of Technology Faculty of Electrical Engineering , Ethiopia.

Publication profile

Orcid

EducationĀ šŸŽ“

  • Ph.D. Candidate: Power System Planning & Management, Addis Ababa University (Defense Remaining)
  • M.Sc.: Electrical Engineering (Power Engineering), Adama Science & Technology University (2008ā€“2010)
  • B.Sc.: Electrical-Electronics Technology, Adama Science & Technology University (1998ā€“2002)
  • Advanced Diploma: Electrical Engineering, Bahirdar Polytechnic Institute (1991ā€“1994)

ExperienceĀ šŸ§‘ā€šŸ«

  • Senior Lecturer: Electrical & Computer Engineering, Hawassa University (1995ā€“2012)
  • Dean/Vice Dean: SERE Bonga TVET College, Ethiopia (1995ā€“2012)

Suitability For The Award

Dr. Teshome Lindi Kumissa, a Ph.D. candidate and Senior Lecturer in the Department of Electrical and Computer Engineering at Hawassa University, has made significant contributions to the field of power systems engineering. With an impressive academic and professional background spanning over two decades, he has a proven track record in research, teaching, and leadership, making him a commendable nominee for the Best Researcher Award.

Professional DevelopmentĀ 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovationĀ šŸ’”. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systemsĀ šŸŒ±. He has contributed to groundbreaking research on voltage stability and dynamic security tools, leveraging SCADA systems for enhanced grid reliability. Dr. Kumissaā€™s dedication extends to mentoring students and designing sustainable energy solutions for communities, such as solar PV systems for rural EthiopiaĀ ā˜€ļø. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges.Ā šŸŒāš”

Research FocusĀ 

Awards and Honors

  • šŸŽ“Ā Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • šŸ“œĀ Publications: Multiple peer-reviewed articles in high-impact journals (e.g.,Ā Energies,Ā Electricity).
  • šŸŒ±Ā Rural Energy Solutions: Recognized for impactful solar PV design projects in Ethiopia.
  • šŸ› Ā Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and RankingĀ šŸ“°,Ā ElectricityĀ (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability SimulationĀ āš”,Ā Australian Journal of Electrical and Electronics EngineeringĀ (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability SimulationĀ šŸŒ,Ā EnergiesĀ (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power system analysis, microgrids, power control in smart grids, model predictive control (MPC), and renewable energy. Elaheh earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, and has a strong background in quality control, having worked as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is proficient in various programming languages and software tools and is actively involved in the PEDAR research group. Her notable research includes optimizing power control for grid-connected distributed generation and enhancing security in smart power microgrids.

Professional Profile:

Google Scholar

Evaluation for Elaheh Yaghoubi’s Suitability for the Best Researcher Award

Elaheh Yaghoubiā€™s exceptional research in power systems, smart grids, and renewable energy, combined with her perfect academic record and practical experience, position her as an excellent candidate for the Best Researcher Award. Her contributions to optimizing power control and enhancing smart grid security, along with her commitment to academic and research excellence, make her a deserving recipient of this prestigious recognition.

šŸŽ“Education:

Elaheh Yaghoubi is currently pursuing a Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she maintains a perfect GPA of 4.0. Her research focuses on optimal power control of grid-connected distributed generation within a hierarchical framework based on Model Predictive Control (MPC). She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Qaemshahr, Iran, also with a perfect GPA of 4.0, where her thesis involved developing a routing algorithm for a large-scale chip grid. She completed her B.Sc. in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, graduating with a GPA of 4.0, and holds an Associateā€™s Degree in Electrical Engineering from the University College of Rouzbahan, Iran, with a GPA of 3.5.

šŸ¢Work Experience:

Elaheh Yaghoubi is currently a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group, a position she has held since 2023. Prior to this, she worked as a Website Designer at WebCore Company from 2019 to 2021. She also has experience as a Senior Manager at Rico Electronics Company (2018-2019) and at Kati Kabl Tabarestan Factory (2015-2018).

šŸ…Awards and Honors:

Elaheh Yaghoubi has been recognized with the Best Researcher Award, highlighting her significant contributions and achievements in her field of study.

Publication Top Notes:

  • The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems
    • Citations: 14
  • Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi Nanodisk Resonators in MIM Waveguide
    • Citations: 12
  • Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison
    • Citations: 10
  • Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide
    • Citations: 10
  • Reducing the Vulnerability in Microgrid Power Systems
    • Citations: 9