Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award

Mr. Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award

Mr. Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award | PhD candidate | Northwest University | China

Mr. Alex Gautier Tsopgo is a Renewable Energy Engineer and emerging scholar whose work integrates advanced engineering, community-centered development, and policy innovation to accelerate sustainable electrification in Sub-Saharan Africa. Mr. Alex Gautier Tsopgo holds a Bachelor of Engineering in Renewable Energy from the University of Maroua (2012–2015), a Master of Engineering in Renewable Energy from the National Advanced School of Engineering, Cameroon (2015–2017), and is currently a PhD Researcher in Solar Thermal Energy Storage at Northwest University, China (2023–Present), where he is developing a comprehensive computational model for comparing and optimizing solar thermal energy storage systems to mitigate intermittency challenges in utility-scale renewable deployment. Professionally, Mr. Alex Gautier Tsopgo has accumulated over four years of hands-on experience delivering last-mile electrification solutions, notably serving as a Renewable Energy Engineer at Renewable Energy Innovators Cameroon, where he led the deployment of more than 237 kWp of distributed solar systems with 433 kWh of battery storage, electrifying over 500 households, powering micro-enterprises and social infrastructure, and achieving high system availability through community-based operations and maintenance frameworks. His work also contributed directly to Cameroon’s first mini-grid licensing framework, demonstrating his capacity to bridge technical design and regulatory advancement. Earlier, as an Energy Consultant for multiple municipalities, Mr. Alex Gautier Tsopgo conducted techno-economic feasibility studies for hydrokinetic systems and pioneered inclusive village savings models that mobilized over 300 members to finance productive energy assets, while his consulting roles with TAGUS Drone, ELYON Polytechnique, and ERECE SARL focused on optimizing grid-tied solar installations and conducting energy audits that reduced consumer costs. His research interests span solar thermal energy storage, multi-objective optimization, renewable energy systems modeling, mini-grid and off-grid electrification, and the socio-technical dynamics of energy access in emerging markets, supported by strong research skills in computational modeling, optimization frameworks, techno-economic analysis, and interdisciplinary systems design. Mr. Alex Gautier Tsopgo’s research skill set is complemented by technical competencies in PVSyst, HOMER, RETScreen, Aspen Plus, and project development methodologies, alongside demonstrated leadership through global youth ambassadorships, academic facilitation, and humanitarian engagement. His awards and recognitions include certifications from international institutions, leadership acknowledgments, and professional training in environmental and social impact assessment and public–private partnerships, collectively underscoring a career defined by technical rigor, ethical engagement, and scalable impact. In conclusion, Mr. Alex Gautier Tsopgo represents a new generation of renewable energy leaders whose integrated expertise positions him to contribute meaningfully to global energy transitions and sustainable development.

Profile:  ORCID

Featured Publications 

Tsopgo, A. G., Teng, H., Duan, Q., & Zheng, H. A. (2026). Probability-based multi-objective optimization framework for the selection of molten salts in thermal energy storage systems. Composites Part B: Engineering.

Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award | Doctoral Researcher | Kocaeli University | Turkey 

Ms. Ayse Tugba Yapici is an emerging scholar in electrical engineering whose research bridges intelligent energy systems, electric vehicles, and artificial intelligence–driven prediction technologies, reflecting her strong academic preparation and expanding scientific footprint. She earned her PhD in Electrical Engineering from Kocaeli University, where her doctoral studies centered on deep learning approaches for forecasting electric vehicle demand, charging behaviors, and integrated grid impacts. Prior to this, she completed her MSc in Electrical Engineering at Kocaeli University and her BSc in Electrical and Electronics Engineering at Bulent Ecevit University, progressively building a foundation in power electronics, system modeling, and smart energy infrastructures. Professionally, Ms. Ayse Tugba Yapici has gained significant experience as a doctoral researcher contributing to multiple academic studies involving EV charging station optimization, boosting converter analyses, AI-based prediction models, and data-driven approaches for regional transportation planning. Her research interests span electric vehicle technologies, charging station planning, induction heating systems, renewable energy integration, IoT-based intelligent mobility frameworks, and machine learning algorithms including LSTM, GRU, and MLR for performance forecasting. She possesses strong research skills in deep learning model development, Python-based simulation, DigSilent-based power system design, MATLAB/Simulink modeling, geographical data mapping, algorithm optimization, and statistical evaluation metrics such as R², MSE, MAE, and DTW. Her body of work includes multiple SCI and Scopus-indexed publications addressing EV growth prediction, secure IoT frameworks for autonomous taxis, and comparative analyses of deep learning methods for charging time estimation. Ms. Ayse Tugba Yapici has been recognized within academic circles for her contributions to advancing sustainable mobility solutions and has received commendations for her research productivity and multidisciplinary collaborations within Türkiye. Her work continues to support improved policy development, smarter grid integration, and future-ready electric mobility infrastructures. She remains actively involved in scholarly dissemination through conference participation, collaborative studies with engineering experts, and mentorship of junior researchers. Through her growing publication record, analytical expertise, and commitment to advancing intelligent transportation systems, Ms. Ayse Tugba Yapici demonstrates strong potential for continued impact in electrical engineering research, contributing to the broader goals of sustainable energy development, smart city transitions, and technology-driven societal advancement.

Profile: Scopus | ORCID

Featured Publications

  1. Yapici, A. T., Abut, N., & Erfidan, T. (2025). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies. Year: 2025

  2. Yapici, A. T., & Abut, N. (2025). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi. Year: 2025

  3. Yapici, A. T., Abut, N., & Yildirim, A. (2025). Future estimation of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences. Year: 2025

  4. Yapici, A. T., & Abut, N. (2025). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences. Year: 2025

  5. Yapici, A. T., & Abut, N. (2024). Elektrikli araç devresinde kullanılan boost dönüştürücünün analizine farklı yaklaşımlar. Black Sea Journal of Engineering and Science. Year: 2024

  6. Yapici, A. T., & Abut, N. (2024). Elektrikli araç şarj istasyonu konum tasarımında, DigSilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science. Year: 2024

  7. Yapici, A. T. (2024). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and MLR approaches. Applied Sciences. Year: 2024