Hala lalaymia | Electrical engineering | Young Scientist Award

Ms. Hala lalaymia | Electrical engineering | Young Scientist Award

PhD at Ɖcole Nationale SupĆ©rieure de Technologie et d’IngĆ©nierie (ENSTI), Algeria

Hala Lalaymia is a PhD candidate at the National Higher School of Technology and Engineering in Annaba, specializing in renewable energy systems, particularly grid-connected photovoltaic systems. Her work focuses on control and optimization techniques to improve energy efficiency and system performance. Hala has gained substantial professional experience through internships with notable Algerian energy companies. She is fluent in French, Arabic, and English, and has a passion for teaching, mentorship, and research.

profile:

Scholar

šŸŽ“ Education

PhD in Renewable Energy | National Higher School of Technology and Engineering, Annaba (02/2023 – Present) Ranked 2nd out of 59 candidates in the National PhD Competition, Hala is researching the control and optimization of grid-connected photovoltaic systems for her thesis. Engineering Degree in Electrical Power Production and Renewable Energy | National Higher School of Industrial Technologies, Annaba (09/2019 – 07/2022) Graduated with a GPA of 15.65, ranked 3rd out of 17 students. Master in Electrical Networks | National Higher School of Technology and Engineering, Annaba Graduated with a GPA of 15.36, building strong expertise in electrical systems.

šŸ’¼ Experience

Intern – Photovoltaic Solar Energy Division | Renewable Energy Development Center (CDER), Algiers (02/2022 – 04/2022) Focused on advanced control systems for multilevel inverters in grid-connected photovoltaic systems. Intern – Electrical Engineering Department | Hadjar Soud Cement Company (SCHS), Skikda (04/2021 – 05/2021) Observed and learned about electrical measurement and protection devices. Intern – Electricity Transport Region | Algerian Electricity Transmission Management Company (GRTE), Annaba (11/2020 – 12/2020) Gained practical experience in electricity production and energy transportation.

šŸ† Awards and Honors

National PhD Competition: Ranked 2nd out of 59 candidates. Engineering Degree: Ranked 3rd in her class. Certificate of French Language Proficiency: TCF-Test Level B2. IT Training: Certified in Microsoft Word, Excel, PowerPoint, and Windows (2011). English Language Certificate: Completed training in English language proficiency.

šŸ”¬ Research Focus

Grid-Connected Photovoltaic Systems: Focused on optimizing the control systems to improve energy efficiency and reduce costs. Ā Meta-heuristic Algorithms: Specialized in applying these algorithms for the enhancement of control systems in renewable energy. Power Electronics: Advanced understanding of power electronics, particularly in photovoltaic systems. Renewable Energy Systems: Researching efficient integration of renewable energy into existing power grids. Fractional PI Controllers: Utilized for improved performance in T-type neutral point inverters for photovoltaic systems.

 

Publication:šŸ“

  • Revolutionizing PV Grid Integration: Metaheuristic Optimization of Fractional PI Controllers in T-type Neutral Point Piloted Inverters for Enhanced Performance
    Journal: Computers and Electrical Engineering
    Year: 2024

 

  • A Control Grid-Connected PV System with NPC Multi-Level Inverter
    Conference: 2023 International Conference on Electrical Engineering and Advanced Technologies
    Year: 2023

 

  • Analysis of Performance and Degradation in PV Modules After Aging
    This research analyzes the performance of photovoltaic modules after aging. It highlights the degradation rates of different PV technologies, contributing valuable data for the maintenance and longevity of solar power systems.

Conclusion

Hala Lalaymia is a strong candidate for the “Young Scientist Award” due to her academic achievements, cutting-edge research in renewable energy, and technical expertise in photovoltaic systems. Her record of publications and conference presentations also supports her case. Improving her industry connections, international collaborations, and diversifying her research scope could further enhance her candidacy. Overall, her contributions to renewable energy research make her highly deserving of recognition as a promising young scientist.

RajeshKumar Samala | Power Systems | Best Researcher Award

Ā Dr.RajeshKumar Samala| Power Systems | Best Researcher Award

Rajesh Kumar Samala is an accomplished academic and engineering professional with extensive experience in teaching and research. He holds a PhD from Vignan’s Foundation for Science, Technology and Research, and an M.Tech in Power Engineering & Energy Systems from Mahaveer Institute of Science & Technology, JNTU Hyderabad. With over a decade of teaching experience at various engineering institutions, he specializes in power systems, renewable energy, and artificial intelligence applications. Rajesh has published numerous research papers in SCOPUS and SCI-indexed journals, authored a book, and contributed to multiple book chapters. He is proficient in C and MATLAB and has actively participated in national and international conferences.

Profile

Scholar

  • Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system
    • Authors: RK Samala, MR Kotapuri
    • Journal: SN Applied Sciences
    • Volume: 2
    • Issue: 2
    • Article: 191
    • Year: 2020
    • Citations: 48

 

  • Optimal allocation of multiple photo-voltaic and/or wind-turbine based distributed generations in radial distribution system using hybrid technique with fuzzy logic controller
    • Authors: RK Samala, K Mercy Rosalina
    • Journal: Journal of Electrical Engineering & Technology
    • Volume: 16
    • Issue: 1
    • Pages: 101-113
    • Year: 2021
    • Citations: 15

 

  • Optimal DG sizing and siting in radial system using hybridization of GSA and Firefly algorithms
    • Author: RK Samala
    • Journal: Majlesi Journal of Energy Management
    • Volume: 7
    • Issue: 1
    • Year: 2018
    • Citations: 15

 

  • Distributed generation allocation in distribution system using particle swarm optimization based ant-lion optimization
    • Authors: RK Samala, MR Kotapuri
    • Journal: International Journal of Control and Automation
    • Volume: 13
    • Issue: 1
    • Pages: 414-426
    • Year: 2020
    • Citations: 9

 

  • Model Predictive Control for Modeling Human Gait Motions Assisted by Vicon Technology
    • Authors: VT Minh, M Tamre, V Musalimov, P Kovalenko, I Rubinshtein, RK Samala
    • Journal: Journal EuropĆ©en des SystĆØmes AutomatisĆ©s
    • Volume: 53
    • Issue: 5
    • Year: 2020
    • Citations: 6

 

  • Power loss reduction using distributed generation
    • Authors: R Samala, M Kotapuri
    • Journal: Modelling, Measurement and Control A
    • Volume: 91
    • Issue: 104
    • Year: 2018
    • Citations: 6

 

  • Distributed generation in distribution system for power quality enhancement
    • Authors: RK Samala, MR Kotapuri
    • Journal: International Journal of Engineering & Technology
    • Volume: 7
    • Issue: 4
    • Pages: 24
    • Year: 2018
    • Citations: 5

 

  • Multi distributed generation placement using ant-lion optimization
    • Authors: RK Samala, MR Kotapuri
    • Journal: European Journal of Electrical Engineering
    • Volume: 5
    • Issue: 6
    • Pages: 253-267
    • Year: 2017
    • Citations: 5

 

  • Load flow analysis of a 9-bus system using BFSLF algorithm
    • Authors: GK Babu, RK Samala
    • Journal: International Journal of Electronics and Communication Engineering (IJECE)
    • Volume: 4
    • Year: 2015
    • Citations: 5

 

  • Network and generator constrained economic dispatch using real and binary coded genetic algorithms
    • Authors: GK Babu, RK Samala
    • Journal: International Journal of Emerging Technologies and Advanced Engineering
    • Volume: 3
    • Pages: 1185-1192
    • Year: 2013
    • Citations: 4