Maciej Szkoda | Engineering and Technology | Best Research Article Award

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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.

 

Rajabu Simba | Tech Innovations | Innovative Research Award

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Mr. Rajabu Simba | Tech Innovations | Innovative Research Award

Mr Rajabu Simba | Tech Innovations | Innovative Research Award | Health Information Officer | Mount Meru Regional Referral Hospital | Tanzania 

Mr. Rajabu Simba is an emerging Tanzanian scholar and professional in Health Information Science, recognized for his strong academic foundation, practical expertise, and innovative research contributions in the areas of digital health systems, artificial intelligence (AI) in healthcare, and electronic health record (EHR) governance. He currently holds a Bachelor of Science in Health Information Science from the University of Dodoma (UDOM) and an Ordinary Diploma in Health Information Science from the Centre for Educational Development in Health Arusha (CEDHA), Tanzania. His educational background integrates data management, health informatics, and ICT-driven public health strategies. Professionally, Mr. Simba has served as a Health Records and Information Officer, Medical Recorder, and Data Officer at Mount Meru Regional Referral Hospital, Tanzania, where he managed patient data systems, implemented 5S Kaizen improvement processes, and led digital reporting using tools like DHIS2, OpenMRS, and GoT-HoMIS. He has also contributed to academic development as a Part-time Tutor at CEDHA, teaching courses on Data Analysis using Python, Artificial Intelligence, Research Supervision, and ICT Infrastructure Maintenance. His research interests span AI integration in health education, digital policy frameworks for health data systems, and the application of IoT in healthcare service delivery. Skilled in data preprocessing, analysis, and visualization, Mr. Simba combines technical and analytical proficiency with a strong commitment to improving health data systems in developing regions. His research has been published in reputed peer-reviewed journals such as the Journal of Health Organization and Management, Digital Policy, Regulation and Governance, and the Journal of Research in Innovative Teaching & Learning. Mr. Simba’s active participation in international conferences, including the University of Botswana AHILA Congress and the UDOM Scientific Conference on Health, demonstrates his growing global engagement in health informatics discourse. He has been recognized through several prestigious awards, including the Third Winner for Best Abstract Presentation (UDOM USCHe 2025), AHILA Scholarship for International Congress (2023), and the Best Worker of the Year Award (CEDHA, 2022) by the Ministry of Health, Tanzania. As a content editor for AHILA Africa and AHILA Tanzania Chapter, he contributes to knowledge dissemination and professional development within the health information community. In conclusion, Mr. Rajabu Simba exemplifies a new generation of health informatics professionals dedicated to advancing AI-driven healthcare education and policy innovation, demonstrating leadership, research excellence, and an unwavering commitment to improving digital health ecosystems in Africa and beyond.

Profile:  Scopus | ORCID | Google Scholar

Featured Publications 

  1. Mwogosi, A., & Simba, R. M. (2025). Integration of AI into teaching methodologies in health training institutions in Tanzania. Journal of Research in Innovative Teaching & Learning, ahead-of-print.

  2. Mwogosi, A., & Simba, R. M. (2025). Digital policy and governance frameworks for EHR systems in Tanzania: A scoping review. Digital Policy, Regulation and Governance, ahead-of-print.

  3. Mwogosi, A., Simba, R. M., Kayya, A., Abdallah, S., Mkane, P., Lugaba, A., & Hussein, H. (2025). AIIoT integration in Tanzania’s primary healthcare system: A narrative review. Journal of Health Organization and Management, ahead-of-print.

  4. Simba, R. M., & Hussein, H. (2023, October 18). Undergraduate students’ attitude and perception towards learning health information science course. University of Botswana Library (AHILA 2023 Conference).

  5. Mwogosi, A., Haruna, H., & Simba, R. M. (2025). The impact of generative AI on transformative education in developing countries: A systematic literature review. ResearchGate Preprint.

  6. Simba, R. M. (2022). The roles of health information technologists and challenges faced in workplaces. Health Information Science Annual Symposium Proceedings (MWACHAS).

  7. Simba, R. M. (2020). The roles of Health Information Science students in the provision of COVID-19 information. AHILA TZ Online COVID-19 Conference Proceedings.

 

 

Nimai Chand Chandra | Engineering and Technology | Best Researcher Award Professor & Dean | Shri Vishnu Engineering College for Women | India

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Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award | Professor & Dean | Shri Vishnu Engineering College for Women | India 

Prof. Nimai Chand Chandra is a dedicated academician and accomplished researcher recognized for his extensive contributions to engineering education, technological innovation, and applied research across emerging scientific domains. He has established a strong academic foundation through rigorous training and advanced education, enabling him to excel as a faculty leader and multidisciplinary scholar committed to societal advancement through research-driven solutions. His professional experience spans teaching, research guidance, institutional development, and active participation in collaborative projects, reflecting his long-standing commitment to academic excellence and knowledge dissemination. Throughout his career, Prof. Nimai Chand Chandra has engaged deeply in higher education leadership, curriculum development, and student mentorship while contributing to impactful research initiatives that address current global and industrial challenges. His research interests encompass machine learning applications, computational modelling, sustainable engineering solutions, intelligent systems, and data-driven optimization frameworks, all of which highlight his ability to integrate theoretical understanding with real-world applications. He has developed high-level research skills across algorithm development, experimental analysis, data interpretation, and interdisciplinary problem-solving, with strong proficiency in advanced computational tools and analytical techniques that support his innovative academic output. Prof. Nimai Chand Chandra has consistently published in reputable journals and conferences and is noted for his analytical rigor, clarity of research design, and commitment to scientific integrity. He has also contributed to various academic responsibilities, including organizing workshops, contributing to faculty development programs, and guiding student research projects that expand the intellectual environment of the institutions he serves. His awards and honors reflect his achievements in teaching innovation, research productivity, and academic leadership, acknowledging his sustained dedication to the progress of engineering and technology education. His professional strengths include strong teamwork, strategic planning, and the ability to foster collaborative research environments that accelerate knowledge exchange and innovation. As a respected academic, he maintains active involvement in scholarly communities and continues to support transformative research contributions that enhance institutional growth and societal impact. Overall, Prof. Nimai Chand Chandra stands out as a forward-thinking educator and researcher whose persistent efforts, academic achievements, leadership roles, and research excellence collectively demonstrate his valuable impact on the scientific community and reinforce his ongoing potential to contribute meaningfully to progressive research ecosystems at both national and global levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Chandra, N. C. (2025). Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing. International Journal of Computational Intelligence Systems.

  2. Chandra, N. C. (2025). A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. Journal of Grid Computing.

  3. Chandra, N. C. (2024). Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access.

  4. Chandra, N. C. (2024). ProteinCNN-BLSTM: An Efficient Deep Neural Network for Protein Sequence Classification. Computational Intelligence.

  5. Chandra, N. C. (2024). AI-Driven Drowned-Detection System for Rapid Coastal Rescue Operations. Spatial Information Research.

  6. Chandra, N. C. (2024). A Precise Model for Skin Cancer Diagnosis using Hybrid U-Net and Improved MobileNet-V3. Scientific Reports.

  7. Chandra, N. C. (2023). A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems.