Maciej Szkoda | Engineering and Technology | Best Research Article Award

Published on 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

  1. Szkoda, M. (2025). Design and testing of the propulsion system of a prototype electric vehicle intended for people with disabilities. Transport Problems.

  2. Szkoda, M. (2024). A method for assessing the criticality of failures of railway vehicle components using the FMECA method. Transport Problems.

  3. 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.

  4. Szkoda, M. (2023). Rail vehicle RAMS evaluation strategies for safety and performance optimization.

  5. Szkoda, M. (2022). Life cycle cost methodology in the assessment of modern rail transport systems.

  6. Szkoda, M. (2021). Risk assessment approaches for innovative railway vehicle design solutions.

  7. Szkoda, M. (2020). Technical and economic analyses supporting certification of locomotives and passenger rolling stock.

 

Geamel Alyami | Engineering and Technology | Best Researcher Award

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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 

  1. 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

  2. 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

  3. 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

  4. 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

  5. Alyami, G., & Kostanic, I. (2018). Channel modeling and signal optimization for next-generation millimeter-wave communications. IEEE Access, 6, 12455–12464. Citations: 30

  6. Alyami, G., & Ahmad, W. (2019). Machine learning-assisted beamforming optimization in massive MIMO networks. IEEE Communications Letters, 23(12), 2245–2249. Citations: 35