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

 

Gioacchino Francesco Andriani | Engineering and Technology | Best Researcher Award

Gioacchino Francesco Andriani | Engineering and Technology | Best Researcher Award

Prof Gioacchino Francesco Andriani, Dipartimento di Scienze della Terra e Geoambientali Università degli Studi di Bari ALDO MORO,a Italy

Based on the provided information, Prof. Gioacchino Francesco Andriani appears to be a highly accomplished researcher with significant contributions in the fields of Engineering Geology, Geomechanics, and the Physico-Mechanical Characterization of Rocks and Soils. Here is an assessment in a title paragraph format, concluding with whether he is a suitable candidate for the Best Researcher Award.

Publication profile

google scholar

Academic and Research Contributions

Prof. Andriani has an extensive academic career as an Associate Professor at the University of Bari Aldo Moro, where he teaches Technical Geology and Rock and Soil Mechanics. His role as the Scientific Director of the Geotechnical Laboratory underscores his leadership in research and education.

Research Impact and Publications

With numerous publications in peer-reviewed journals, Prof. Andriani’s work spans across critical areas such as the stability of rocky coasts, hydraulic properties of calcarenites, and the deterioration and conservation of soft rock. His research has been widely cited, indicating a significant impact in his field.

Editorial and Review Roles

His position as an Associate Editor for Environmental Earth Sciences and his role as a peer reviewer for several international journals highlight his expertise and the recognition of his peers in the scientific community.

International Presence and Collaboration

Prof. Andriani’s active participation in international conferences and his involvement in research projects funded by prestigious bodies like the MIUR and the European Union demonstrate his commitment to advancing geological sciences globally.

Contribution to Cultural Heritage and Geohazards

His research focuses not only on geological studies but also on the conservation and valorization of cultural heritage and areas prone to geohazards. This interdisciplinary approach shows his versatility and the broader societal impact of his work.

Conclusion

Given his academic standing, extensive research output, international recognition, and significant contributions to the field of geology and geo-environmental sciences, Prof. Gioacchino Francesco Andriani is indeed a strong candidate for the Best Researcher Award. His career reflects a commitment to advancing knowledge and addressing real-world challenges through scientific inquiry.

Publication top notes

Physical properties and textural parameters of calcarenitic rocks: qualitative and quantitative evaluations

Rocky coast geomorphology and erosional processes: a case study along the Murgia coastline South of Bari, Apulia—SE Italy

Fabric, porosity and water permeability of calcarenites from Apulia (SE Italy) used as building and ornamental stone

The effects of wetting and drying, and marine salt crystallization on calcarenite rocks used as building material in historic monuments

Petrophysical and mechanical properties of soft and porous building rocks used in Apulian monuments (south Italy)

Applying rock mass classifications to carbonate rocks for engineering purposes with a new approach using the rock engineering system

An example of the effects of anthropogenic changes on natural environment in the Apulian karst (southern Italy)

Thermal decay of carbonate dimension stones: fabric, physical and mechanical changes

A new methodological approach to assess the stability of discontinuous rocky cliffs using in-situ surveys supported by UAV-based techniques and 3-D finite element model: a case …

On the applicability of geomechanical models for carbonate rock masses interested by karst processes