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

Published on 29/11/202529/11/2025 by Research Hypothesis

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

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

Maciej Szkoda | Engineering and Technology | Best Research Article Award

Published on 22/11/202522/11/2025 by Research Hypothesis

Assoc. Prof. Dr. Maciej Szkoda | Engineering and Technology | Best Research Article Award

Assoc. Prof. Dr. Maciej Szkoda | Engineering and Technology | Best Research Article Award | Head of the Department Transport | Cracow University of Technology | Poland

Assoc. Prof. Dr. Maciej Szkoda is a distinguished Polish rail transport engineer whose extensive academic, research, and professional accomplishments reflect deep expertise in rail vehicle construction, machine design, transport safety, RAMS evaluation, and Life Cycle Cost methodologies, positioning him as a leading figure in railway systems engineering. Assoc. Prof. Dr. Maciej Szkoda completed his Master of Science in Mechanical Engineering and later earned his Ph.D. in Technical Sciences from the Cracow University of Technology, specializing in rail vehicles, which laid the foundation for his progressive academic journey. His professional experience includes serving as University Professor, Manager of the Department of Rail Vehicles and Transport, Director of the Institute of Rail Vehicles, and Manager of multiple specialized departments and research laboratories, demonstrating exceptional leadership in academic administration and technical innovation. His research interests encompass rail vehicle reliability, availability, maintainability, and safety analysis, risk assessment in accordance with European railway regulations, technical–economic evaluations, and certification processes for locomotives and passenger rolling stock under TSI standards. He possesses strong research skills in RAMS modeling, failure analysis, compliance assessment, LCC modeling, safety case preparation, and approval procedures for new rail system designs, supported by over two hundred R&D projects conducted at national and international levels. Assoc. Prof. Dr. Maciej Szkoda has authored one hundred seventy-eight scientific publications disseminated through reputable journals, Scopus-indexed platforms, and major engineering conferences, with participation in more than two hundred fifty scientific events related to rail reliability, safety, and vehicle operation. His professional certifications include Internal Auditor for ISO 9001, Internal Auditor for ISO/IEC 17025 laboratory systems, and Quality Assistant certification, reflecting high technical competency and adherence to global quality standards. Throughout his career, he has contributed substantially to the advancement of railway engineering, supported student development, and provided expert analysis and evaluations for industry and governmental bodies. His achievements have positioned him as a respected academic and technical authority in railway systems, earning recognition through leadership appointments, project management roles, and extensive contributions to research-based decision-making. With a strong global engagement profile, Assoc. Prof. Dr. Maciej Szkoda continues to influence transport engineering advancements, promote safety-driven innovation, and strengthen interdisciplinary research, demonstrating excellence that underscores his suitability for prestigious academic and research honors.

Profile: Scopus | ORCID

Featured Publications

Szkoda, M. (2025). Design and testing of the propulsion system of a prototype electric vehicle intended for people with disabilities. Transport Problems.
Szkoda, M. (2024). A method for assessing the criticality of failures of railway vehicle components using the FMECA method. Transport Problems.
Szkoda, M. (2024). Analysis of the impact of selected factors on damage to rolling bearings of rail vehicle wheelsets. Advances in Science and Technology Research Journal.
Szkoda, M. (2023). Rail vehicle RAMS evaluation strategies for safety and performance optimization.
Szkoda, M. (2022). Life cycle cost methodology in the assessment of modern rail transport systems.
Szkoda, M. (2021). Risk assessment approaches for innovative railway vehicle design solutions.
Szkoda, M. (2020). Technical and economic analyses supporting certification of locomotives and passenger rolling stock.

Geamel Alyami | Engineering and Technology | Best Researcher Award

Published on 12/11/202512/11/2025 by Research Hypothesis

Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award

Dr. Geamel Alyami | Engineering and Technology | Best Researcher Award | Associate Research Professor | King Abdulaziz City for Science and Technology | Saudi Arabia

Dr. Geamel Alyami is a distinguished researcher and engineer specializing in Electrical and Communication Engineering, currently serving at the National Center for Communication Systems and Command and Control Technology within the King Abdul-Aziz City for Science and Technology (KACST), Saudi Arabia. He obtained his Doctor of Science in Electrical Engineering from the Florida Institute of Technology in the United States, where he also earned his Master of Science degree. His academic foundation was laid at the University of Central Florida with a Bachelor of Science in Electrical Engineering, followed by a Diploma in Telecommunication from the Telecommunication and Information College in Jeddah. Throughout his career, Dr. Geamel Alyami has cultivated an extensive background in wireless communication systems, Massive MIMO technology, phased array antennas, and machine learning applications in telecommunication research. His research interests focus on 6G technologies, millimeter-wave communication, channel modeling, predictive antenna systems, and high-efficiency signal processing frameworks that aim to transform global communication infrastructures. With a strong commitment to scientific advancement, Dr. Alyami has contributed to several IEEE-indexed and peer-reviewed international journals and conferences, showcasing impactful work in areas such as multiuser separation, spatial channel modeling, and linear precoding for next-generation communication networks. His technical proficiency includes advanced software and programming tools such as MATLAB, Quartus II, PSpice, VHDL, Verilog HDL, and Microwave Studio, which he effectively integrates into his experimental and theoretical research frameworks. Professionally, Dr. Alyami has accumulated rich industrial and academic experience, having worked with Detecon Al Saudia Co. (DETASAD) as a Transmission SDH/TV Technician, gaining hands-on expertise in telecommunication systems installation, testing, and network optimization. His leadership extends beyond research, as he has actively participated in volunteer and academic communities, including IEEE, Phi Kappa Phi Honor Society, and the Center of Excellence for Telecommunication Applications (CETA). Recognized for his academic excellence, he has been featured on the Dean’s List and received honors from professional engineering societies. Dr. Geamel Alyami’s current research integrates machine learning and predictive modeling for smart THz antennas in 6G systems, reflecting his forward-looking vision for the future of telecommunication engineering. With fluency in Arabic and English and a working knowledge of Spanish, he brings a global perspective to collaborative projects. His unwavering dedication to innovation, leadership, and excellence in communication research underscores his continuing contributions to advancing scientific knowledge and promoting sustainable technology growth in the global research community.

Profile: Scopus | Google Scholar

Featured Publications

Alyami, G., & Kostanic, I. (2016). On the spatial separation of multiuser channels using 73 GHz statistical channel models. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 12
Alyami, G., Kostanic, I., & Ahmad, W. (2016). Multiuser separation and performance analysis of millimeter wave channels with linear precoding. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). Citations: 15
Alyami, G., & Kostanic, I. (2016). A low complexity user selection scheme with linear precoding for Massive MIMO systems. IAENG International Journal of Computer Science, 43(3). Citations: 20
Alyami, G., Kostanic, I., & Ahmad, W. (2017). Performance modeling and analysis of millimeter-wave MIMO systems using linear precoding techniques. IEEE Transactions on Wireless Communications. Citations: 25
Alyami, G., & Kostanic, I. (2018). Channel modeling and signal optimization for next-generation millimeter-wave communications. IEEE Access, 6, 12455–12464. Citations: 30
Alyami, G., & Ahmad, W. (2019). Machine learning-assisted beamforming optimization in massive MIMO networks. IEEE Communications Letters, 23(12), 2245–2249. Citations: 35

Lingzhi Li | Engineering and Technology | Best Researcher Award

Published on 01/09/202501/09/2025 by Research Hypothesis

Dr. Lingzhi Li | Engineering and Technology | Best Researcher Award

Dr. Lingzhi Li | Engineering and Technology | Associate Professor | Tongji University | China

Dr. Lingzhi Li is a highly accomplished scholar and professional in the field of civil and structural engineering, currently serving as a professor and doctoral supervisor at Tongji University. With extensive academic and industry experience, he has established himself as an authority in structural safety, concrete materials, and building inspection. His career integrates both academic leadership and practical expertise, contributing to the improvement of resilient infrastructure systems worldwide. Dr. Lingzhi Li is widely recognized for his pioneering contributions to reinforced concrete structures, fire resistance studies, sustainable construction materials, and 3D printing technologies. As a mentor, leader, and researcher, he has made a significant impact in guiding the next generation of engineers while advancing global knowledge in civil engineering.

Professional Profile

Education

Dr. Lingzhi Li completed his foundational studies in civil and structural engineering at Tongji University, earning both his undergraduate and master’s degrees with distinction. He later pursued advanced academic training at the University of Hong Kong, where he obtained his doctoral degree in civil engineering. His academic journey reflects a strong dedication to excellence, supported by rigorous research, innovation, and applied problem-solving. The combination of domestic and international education provided Dr. Lingzhi Li with a well-rounded perspective, enabling him to approach engineering challenges with both technical depth and global insight. This academic background continues to serve as a foundation for his contributions to research, teaching, and professional practice.

Experience

Dr. Lingzhi Li has accumulated extensive experience in both academia and professional practice. In addition to his role as a professor and Ph.D. supervisor, he has actively contributed to the engineering industry through registered professional certifications and leadership in building quality inspection projects. Earlier in his career, he worked with renowned organizations such as Tongji Architectural Design Institute and AECOM Asia, where he contributed to major structural and geotechnical projects. These experiences enriched his practical expertise and informed his later academic endeavors. Within the university setting, he has taught a wide range of courses, including advanced steel structures, nonlinear analysis of concrete structures, and geotechnics. Dr. Lingzhi Li ability to bridge theoretical research with applied engineering has distinguished him as both an effective educator and a practitioner.

Research Interest

The research interests of Dr. Lingzhi Li cover diverse and impactful areas in civil and structural engineering. His work primarily focuses on the fire resistance of reinforced concrete structures, evaluation and retrofitting of aging infrastructures, and the development of high-performance concrete materials. He has also advanced the use of innovative 3D printing technologies in construction, opening new opportunities for sustainable and efficient building practices. In addition, his studies in seismic resilience and structural damage assessment have provided critical insights into enhancing the safety of buildings under extreme conditions. Dr. Lingzhi Li has led and participated in numerous national and international research projects, collaborating with global institutions to address pressing engineering challenges and to promote sustainable construction practices.

Award

Dr. Lingzhi Li has been honored with prestigious awards in recognition of his scientific and technological contributions. He received the China Industry-University-Research Cooperation Innovation Achievement Award for his innovative work in damage assessment and reinforcement of concrete structures. His role in advancing fire safety of high-performance concrete structures was acknowledged through a provincial-level Scientific and Technological Progress Award. These accolades highlight his ability to translate theoretical research into practical innovations that directly benefit the construction industry. His recognition as an author of highly cited papers further demonstrates the global influence of his scholarship and his standing as a leader in civil engineering research.

Selected Publication

“Flexural behavior of precast ultra-lightweight ECC-concrete composite slab with lattice girders” – Published: 2023, Citations: 115
“Post-fire reinforced concrete frames: Experimental study on seismic performance” – Published: 2019, Citations: 140
“Experimental study on seismic behavior of prefabricated RC frame joints with T-shaped columns” – Published: 2021, Citations: 86
“3D recycled mortar printing: System development, process design, material properties and on-site printing” – Published: 2020, Citations: 95

Conclusion

Dr. Lingzhi Li is an outstanding candidate for recognition through this award nomination. His scholarly achievements, extensive research portfolio, and practical contributions to civil and structural engineering demonstrate his unwavering commitment to advancing knowledge and improving global infrastructure resilience. By integrating advanced materials research, innovative construction techniques, and structural safety evaluations, he has created a body of work that addresses both current and future challenges in the built environment. As a professor and mentor, he continues to shape the next generation of engineers while expanding the boundaries of his research. With proven leadership, international collaboration, and award-winning research, Dr. Lingzhi Li exemplifies the qualities of a world-class academic and is highly deserving of this distinguished honor.

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Published on 28/09/202428/09/2024 by Research Hypothesis

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Dr Fabrizio Stefani, University Of Genoa, Italy

Based on Dr. Fabrizio Stefani’s qualifications, he would indeed be a strong candidate for a Best Researcher Award. Here’s an evaluation of his accomplishments and how they align with such an award:

Publication Profile

Orcid

Research and Professional Experience

Dr. Stefani has over 16 years of experience as a full researcher at the University of Genoa. His focus areas include Machine Design, Structural Mechanics, Finite Element Analysis (FEA), and Tribology. His technical skills in finite element software development (FEMLub 123) for industrial applications demonstrate an ability to bridge theoretical research with real-world solutions, particularly in partnership with leading Italian companies like Ansaldo Energia and Fincantieri.

Scientific Contributions

Dr. Stefani has made substantial contributions to the field of mechanical engineering, as evidenced by his numerous publications, including those on torsional-lateral vibrations and stress analysis in large-deformation finite element methods. His work is published in reputable journals, such as Tribology International, Proceedings of the Institution of Mechanical Engineers, and Energies.

Teaching and Leadership

In addition to his research, Dr. Stefani has a long teaching history, covering a wide array of subjects such as Ship Drawing, Industrial Drawing, and Mechanical Design at both bachelor’s and master’s levels. His leadership extends to the coordination of research projects, highlighting his organizational competence and ability to mentor future engineers.

Peer Review and Recognition

His role as a reviewer for several prestigious journals like Tribology International and Scientific Reports underscores his recognition as a subject-matter expert. This also reflects his contributions to advancing research quality globally.

Technical Expertise

Beyond his academic work, Dr. Stefani has advanced programming skills across multiple platforms and languages, along with expertise in CAD tools like Creo and AutoCAD. His interdisciplinary knowledge, coupled with his innovative contributions, makes him highly deserving of a Best Researcher Award.

In conclusion, Dr. Stefani’s extensive research, practical applications, teaching, and leadership skills make him an exemplary candidate for the Best Researcher Award.

Publication top notes

Experimental and Numerical Analysis of Torsional—Lateral Vibrations in Drive Lines Supported by Hydrodynamic Journal Bearings

Data for the stress update assessment in large-deformation finite element analysis

Choice of the stress integration scheme for accurate large-deformation finite element analysis

Preliminary Design of a Mini Gas Turbine via 1D Methodology

Development of a new test rig for the analysis of hydrodynamic bearings for rotors of microGT

FEM Design of a Cutting-Edge Support System for Micro-GT

Design and fast verification of pocket elliptical journal bearings

Computer-aided design of pocket elliptical journal bearings, part 2: Application

Abderrezzaq Benalia | Engineering and Technology | Best Researcher Award

Published on 21/08/202421/08/2024 by Research Hypothesis

Abderrezzaq Benalia | Engineering and Technology | Best Researcher Award

Assist Prof Dr Abderrezzaq Benalia, Higher normal school of Constantine, Algeria

Evaluation for Best Researcher Award: Assist. Prof. Dr. Abderrezzaq Benalia.

Publication profile

google scholar

Educational Background

Dr. Abderrezzaq Benalia holds a Ph.D. in Environmental Engineering from Salah Boubnider University, Constantine 3, Algeria. His doctoral research focused on the extraction and valorization of natural plant products as bio-coagulants for improving water quality, showcasing his commitment to sustainable environmental practices. Additionally, his M.Sc. thesis on the coagulation-flocculation process for drinking water treatment further solidifies his expertise in environmental engineering.

Positions Held and Teaching Experience

Dr. Benalia has held several notable positions, including being a representative of the environment in Yahia Beni Guecha, Mila, Algeria, from 2011 to 2016. His teaching experience spans various prestigious institutions, such as the Higher Normal School of Constantine and the National Polytechnic School of Constantine, where he has taught subjects like Chemical Kinetics, Analytical Chemistry, and Water Chemistry. His teaching excellence is reflected in his consistent contributions to environmental and process engineering education.

Research Interests and Supervision

His areas of interest include biomaterials, water and wastewater treatment, water pollution, and the extraction of natural substances. Dr. Benalia has also shown a strong commitment to mentoring students, having supervised several graduate projects, including Long Cycle and Engineer/Master students.

Additional Contributions

Dr. Benalia has been actively involved in organizing scientific events, such as the Inaugural National Congress in Physical and Chemistry Science (INCPCS 2024). He has also led significant research projects, including the improvement of bioenergy production from biodegradable waste, demonstrating his leadership and innovation in environmental research.

Prizes, Awards, and Honors

Dr. Benalia has received numerous accolades, including the Young Researcher Award from Salah Boubnider University in 2016, and the Best Researcher Award in Environmental Engineering from World Top Scientists in 2024. These awards recognize his impactful contributions to the field of environmental engineering.

Publications and Communications

Dr. Benalia has authored several high-impact publications in renowned journals. His research on the removal of dyes from water using aluminum-based water treatment sludge and the application of plant-based coagulants in water treatment highlights his innovative approach to environmental challenges. His work on the synthesis and application of bio-sorbents from artichoke and orange peels for wastewater treatment further emphasizes his focus on sustainable solutions.

Conclusion

Dr. Abderrezzaq Benalia’s extensive educational background, diverse teaching experience, and impactful research contributions make him a strong candidate for the Best Researcher Award. His dedication to environmental sustainability, innovative research, and student mentorship exemplifies the qualities of a top researcher in his field.

Publication top notes

Use of acorn leaves as a natural coagulant in a drinking water treatment plant

Use of Aloe vera as an Organic Coagulant for Improving Drinking Water Quality

Optimization of active coagulant agent extraction method from Moringa Oleifera seeds for municipal wastewater treatment

The use of as natural coagulant in algerian drinking water treatment plant

The use of central composite design (CCD) to optimize and model the coagulation-flocculation process using a natural coagulant: Application in jar test and semi-industrial scale

Use of Extracted Proteins from Oak Leaves as Bio-Coagulant for Water and Wastewater Treatment: Optimization by a Fractional Factorial Design

The adsorptive removal of Bengal rose by artichoke leaves: Optimization by full factorials design

Valorization of pine cones (pinus nigras) for industrial wastewater treatment and crystal violet removal: a sustainable approach based on bio-coagulants and a bio-adsorbent

Etude Expérimentale et Modélisation Du Processus de La Coagulation Floculation: Application Aux Eaux Destinée a La Consommation

Bożena Gajdzik | Engineering and Technology | Best Researcher Award

Published on 19/08/202419/08/2024 by Research Hypothesis

Bożena Gajdzik | Engineering and Technology | Best Researcher Award

Assoc Prof Dr Bożena Gajdzik, Politechnika Śląska, Poland

Based on the information provided, Assoc. Prof. Dr. Bożena Gajdzik appears to be highly suitable for the Best Researcher Award.

Publication profile

google scholar

Expertise and Research Interests

Assoc. Prof. Dr. Bożena Gajdzik is a leading expert in the fields of manufacturing, management, restructuring, sustainability, industrial transformation, energy saving, energy intensity, and resources management. Her focus on industrial transformation and deep decarbonization of industry highlights her commitment to contemporary and critical issues in sustainable development.

Academic Contributions

She has authored over 650 scientific publications, including 30 books and monographs, demonstrating her prolific output and substantial contributions to her field. Her work spans various aspects of industrial and engineering processes, reflecting her broad expertise and influence.

Awards and Recognition

Dr. Gajdzik has received multiple awards from the Rector of the Silesian University of Technology, indicating recognition of her exceptional work within her institution. Furthermore, her inclusion in the global list of top scientists (TOP 2%/Stanford list) underscores her significant impact and reputation in the scientific community.

Collaborative Efforts and Peer Review

She collaborates with numerous business organizations, manufacturing companies, and universities both domestically and internationally. Her role as a reviewer for prestigious journals like IEEE, Elsevier, MDPI, Frontiers, Sage, Springer, and Emerald, and her membership in various scientific and editorial boards, further attest to her standing and credibility in the academic world.

Summary

Assoc. Prof. Dr. Bożena Gajdzik’s extensive research contributions, recognition through multiple awards, collaboration with industry and academia, and her influence in the global scientific community make her a strong candidate for the Best Researcher Award. Her work in sustainability and industrial transformation is particularly relevant and impactful, reflecting her dedication to advancing knowledge and fostering sustainable development.

Research focus

B. Gajdzik’s research focuses on optimizing processes and improving quality in metallurgical enterprises. His work covers areas such as World Class Manufacturing, Total Productive Maintenance (TPM), and decarbonization strategies in the steel industry. He explores the transformation to net-zero steelmaking, environmental management, and the causes of product complaints in metallurgical quality systems. His studies also emphasize the social responsibility of production enterprises and the implementation of TPM in steelworks to enhance efficiency and sustainability. Gajdzik’s contributions aim to advance metallurgical processes and environmental stewardship in the steel industry. 🔧📉🌍