Badr Machkour | Artificial Intelligence | Best Researcher Award

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Dr. Badr Machkour | Artificial Intelligence | Best Researcher Award

Professor, Faculty of Legal, Economic and Social Sciences, Morocco 

Dr. Badr Machkour is a Moroccan researcher and academic with deep expertise in economics, finance, and digital transformation. Currently holding a Ph.D. in Economic and Management Sciences, he has contributed to multiple domains including Industry 4.0, financial digitalization, and educational innovation. With a robust blend of academic and consulting experience, Dr. Machkour bridges theory and practice to drive impactful research. 🌐📊

Profile

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🎓 Education

Dr. Machkour holds a Doctorate in Economic and Management Sciences (2018–2023) from the FSJES of Agadir. His academic foundation includes a degree in Audit and Management Control from ENCG Agadir (2014–2017), post-preparatory classes in Economics and Commerce (2012–2014), and a Mathematics Baccalaureate (2011–2012). His diverse training forms a strong base for multidisciplinary research. 📚🧠

💼 Professional Experience

Dr. Machkour has extensive experience as a financial auditor, consultant, and trainer. He currently serves as a trainer at the Cité des Métiers et des Compétences (OFPPT), delivering finance and management programs. His previous roles span auditing and consulting at prominent firms like Augeco, MAZARS Maroc, and Agadir Conseil, involving sectors from agriculture to banking. 🏢💼📈

🔬 Research Interests

His research explores the intersection of Industry 4.0, digital banking solutions, customer experience, AI in education, and entrepreneurship. Dr. Machkour is particularly interested in how technology transforms economic relationships, pedagogical structures, and corporate strategies. 🤖📱🏫

🏆 Awards & Honors

While specific awards are not listed, Dr. Machkour’s work has been featured in indexed journals and cited internationally — notably his highly cited paper on Industry 4.0’s implications in finance. His academic contributions reflect both quality and influence. 🥇🌍

📑 Publications

Industry 4.0 and its Implications for the Financial Sector, Procedia Computer Science, 2020 — Cited by 151 🏦

The Rise of Artificial Intelligence in Educational Management: A Prospective Analysis on the Role of the Virtual Educational Director, Procedia Computer Science, 2025 🧠

Internet of Things in Education: Transforming Learning Environments, Enhancing Pedagogy, and Optimizing Resource Management, Data and Metadata, 2024 🏫

L’impact de l’adoption des solutions digitales sur la relation banque-client, Revue Française d’Economie et de Gestion, 2024 — Cited by 2 📲

Les facteurs d’adoption des solutions digitales bancaires par les consommateurs marocains, IJAFAME, 2022 — Cited by 1 📱

The Uses of Connected Objects and Their Influence on the Customer Experience, Test Engineering and Management, 2020 — Cited by 1 🌐

Etude exploratoire du développement de l’esprit Entrepreneurial et des compétences Entrepreneuriales auprès des étudiants au Maroc, Alternatives Managériales Economiques, 2024 👨‍🎓

Entrepreneurship 4.0 and Success Factors in the Context of Industry 4.0: A literature review, African Scientific Journal, 2024 🚀

✅ Conclusion

Overall, Dr. Badr Machkour is a promising and accomplished researcher whose work bridges digital innovation and economic practice with scholarly insight. His growing citation record, topical relevance, and interdisciplinary reach make him a strong candidate for the Best Researcher Award. With continued international engagement and broader collaborative networks, his impact is poised to grow even further. 🌍📈

Inga Christina Miadowicz | Computer Science and Artificial Intelligence | Best Researcher Award

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Inga Christina Miadowicz | Computer Science and Artificial Intelligence | Best Researcher Award

Mrs Inga Christina Miadowicz, Deutsches Zentrum für Luft- und Raumfahrt, Germany

Dr. Inga Christina Miadowicz is a dedicated researcher specializing in IT management, industrial autonomy, and solar energy systems. She holds a Master’s in IT-Management from FOM Mannheim and a Bachelor’s in Applied Computer Science from DHBW Mannheim. Currently a Research Assistant at Deutsches Zentrum für Luft- und Raumfahrt (DLR), she leads projects in autonomous solar power plants and cyber-physical system infrastructures. Her expertise spans software engineering, distributed systems, and performance optimization. As a university lecturer at DHBW Mannheim, she teaches advanced software engineering and distributed systems. Her contributions to solar power plant digitization, industrial autonomy, and energy management have been published in renowned journals and conferences. She is an active participant in cutting-edge research on 5G communication for solar plants. With a strong foundation in IT architecture, cloud computing, and SAP technologies, she continues to drive innovation in the field of renewable energy and digital transformation. 🔬☀️🚀

Publication Profile

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Education

Dr. Inga Christina Miadowicz has a solid academic background in IT management and applied computer science. She earned her Master of Science in IT-Management (2018-2021) from Fachhochschule für Oekonomie und Management (FOM), Mannheim, where she specialized in enterprise IT strategies and digital transformation. Her Bachelor of Science in Applied Computer Science (2013-2016) from Duale Hochschule Baden-Württemberg (DHBW), Mannheim, provided her with hands-on experience in software development, system architecture, and distributed computing. She completed her Abitur (2004-2013) at Theodor-Fliedner-Gymnasium, Düsseldorf, establishing a strong foundation in STEM disciplines. Her commitment to continuous learning is reflected in multiple professional certifications, including Certified Business Professional and Certified Solution Professional (FICO), as well as specialized training in Apache Kafka, SAP HANA, SAPUI5, and OData services. Through her graduate program at DLR (since 2022), she continues to enhance her expertise in advanced IT solutions for industrial applications. 📚💡

Experience

Dr. Inga Christina Miadowicz has extensive experience in IT research, software development, and teaching. Since April 2022, she has been a Research Assistant at DLR (Cologne, Germany), leading projects on autonomous solar power plants and industrial autonomy. She has also served as a university lecturer at DHBW Mannheim (since 2018), teaching distributed systems and software engineering. Previously, she was a Lead Developer at FICO (2019-2022), where she developed anti-money laundering software and optimized performance engineering tools. As a Development Consultant at Slenderiser GmbH (2018-2019), she contributed to SAP S/4HANA transformations. Her tenure at SAP SE (2016-2018) focused on cloud and on-premise solutions for consumer industries. She also gained experience as a Dual Studies developer at ALDI SÜD (2013-2016), working on web and cloud computing solutions. Her diverse expertise in cyber-physical systems, SAP development, and IT architecture makes her a leading researcher in the field. 🚀🌞

Awards and Honors

Dr. Inga Christina Miadowicz has been recognized for her contributions to IT management, software engineering, and renewable energy research. She was awarded the Chinese Government Scholarship for her exceptional academic achievements. Her graduate program at DLR is a testament to her dedication to cutting-edge industrial research. She has received multiple professional certifications, including Certified Business Professional and Certified Solution Professional (FICO), as well as specialized SAP certifications like C_FIORIDEV_20. Her work on autonomous solar power plants and 5G communication for solar plants has been featured at prestigious conferences like SolarPACES. Her performance engineering contributions at FICO helped optimize anti-money laundering software, earning industry recognition. As a university lecturer, she has mentored numerous students in software development and distributed systems. Her commitment to research, education, and technological advancement positions her as a strong candidate for the Best Researcher Award. 🎖️📡☀️

Research Focus

Dr. Inga Christina Miadowicz focuses on industrial autonomy, digital transformation, and renewable energy optimization. At DLR, she leads research on autonomous solar power plants, developing cyber-physical systems and AI-driven automation for power plant operations. Her work integrates 5G communication networks with solar tower plants, enhancing real-time data processing and remote control capabilities. She specializes in distributed systems, software engineering, and cloud-based industrial solutions, particularly in SAP S/4HANA, Fiori applications, and performance engineering. Her research extends to data-driven hardware sizing tools, automation frameworks, and performance optimization for large-scale infrastructure. Her expertise in cybersecurity, IT architecture, and advanced analytics enables her to drive innovation in industrial digitalization. Through her publications in Solar Energy Advances and SolarPACES Conference Proceedings, she contributes to the advancement of solar energy integration and digital infrastructure for smart grids. Her work bridges the gap between IT, industrial automation, and sustainable energy solutions. 🌞📊💡

Publication Top Notes

📄 An Action Research Study on the Digital Transformation of Concentrated Solar Thermal Plants – Solar Energy Advances (2025)
📄 An Action Research Study on the Digital Transformation of Concentrated Solar Thermal Plants – Solar Energy Advances (2024-11-19)
📄 5G as Communication Platform for Solar Tower Plants – SolarPACES Conference Proceedings (2024-07-24)
📄 5G as Communication Platform for Solar Tower Plants – SolarPACES Conference Proceedings (2024-07-24, DOI: 10.52825/solarpaces.v2i.858)
📄 5G as Communication Platform for Solar Tower Plants – 29th International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2023

TaiLong Lv | Computer Science and Artificial Intelligence | Best Researcher Award

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TaiLong Lv | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Lu Tailong, Xi’an University of Posts and Telecommunications, China

Based on the provided information, Mr. Tailong Lv appears to have a solid academic and research background, but whether he is a suitable candidate for the Best Researcher Award would depend on various factors such as the scope of his contributions, the significance of his research, and his overall impact. Below is an analysis of his qualifications:

Publication profile

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Educational Background

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts and Telecommunications. His educational background shows strong technical skills in automation and mechanical engineering, which are highly relevant to his research on human activity recognition.

Research Projects

His primary research involves developing a deep learning-based neural network for human activity recognition. This project is technically sophisticated, as it focuses on optimizing neural networks to improve accuracy in recognizing both simple and complex human actions. This level of complexity shows his ability to handle advanced machine learning and AI concepts, making his research valuable in fields like robotics, healthcare, and automation.

Awards and Scholarships

Mr. Tailong Lv has been recognized with scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023. These awards demonstrate his academic excellence and indicate that he is a strong performer within his institution.

Publication

His publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition,” is an impressive achievement. This peer-reviewed article, published in Electronics, showcases his contribution to deep learning and neural networks. Collaborative work with other experts also highlights his ability to work in a team and contribute to impactful research.

Skills

His proficiency in Python and deep learning neural networks, as well as his fluency in English, are essential skills for international collaboration and publishing. These competencies make him a versatile researcher capable of tackling modern challenges in AI and automation.

Conclusion

Mr. Tailong Lv has demonstrated academic excellence, technical expertise, and research accomplishments that make him a strong candidate for research-based recognition. However, the Best Researcher Award typically requires groundbreaking contributions or a significant body of work. While he shows promise, his current profile might be better suited for emerging researcher or early-career researcher awards rather than the highest accolades in research.

Publication top notes

Multihead-Res-SE Residual Network with Attention for Human Activity Recognition

 

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

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Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Simon Wong, College of Professional and Continuing Education, the Hong Kong Polytechnic University, Hong Kong

Dr. Simon Wong is a distinguished educator with a Doctor of Education from the University of Leicester, UK. His extensive academic background includes an M.Phil. from PolyU and a Bachelor’s in Computer Science from the University of Minnesota, USA. Dr. Wong serves as a lecturer at CPCE, PolyU, and holds professional certifications in financial technology and Oracle. His industrial experience spans roles as a senior consultant and software engineer. Dr. Wong has led numerous academic programs and research initiatives, specializing in subjects like database systems, e-commerce, and cloud computing. He is a committed member of professional organizations and has significantly contributed to academic management and leadership. 🌟🎓💼

Publication profile

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Academic Qualifications

Dr.  holds a Doctor of Education from the University of Leicester, UK (2012), where they researched effective online learning in Hong Kong higher education institutions, supervised by Prof. Paul Cooper 🎓📚. They also earned a Master of Philosophy from PolyU (1997), focusing on designing and analyzing a bypass construction algorithm for self-healing asynchronous transfer mode networks under the guidance of Dr. K. C. Chang and Prof. Keith Chan 📘💡. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) 🎓💻.

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 – Sep 2003) 🏢, a Software Engineer at Skyworld Technology Ltd (Jun 1993 – May 1994) 💻, and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 – Mar 1993) 📊. Since Sep 2003, they have been a Lecturer at CPCE, PolyU 📚, and previously held roles as a Lecturer (Sep 1998 – Aug 2000) 👨‍🏫, Demonstrator (Sep 1996 – Aug 1998) 🔬, and Research Student (Jun 1994 – Jun 1996) 🎓 in the Department of Computing at PolyU.

Awards

With an illustrious career marked by numerous accolades and significant research contributions, I have received the Best Paper Awards in 2018, 2019, and 2023 🎉📚. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE 🏆💡. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning 🤖🔗. My work has significantly advanced educational technology and pedagogy, earning over HK$2 million in funding for projects aimed at improving learning experiences and outcomes 🎓💼.

Research focus

Simon Wong’s research focus is on the integration of blockchain technology in supply chain management, emphasizing sustainability. His work includes examining the adoption of blockchain integrated with cloud-based systems and machine learning to enhance sustainable practices in supply chains. Through critical literature reviews and case studies, Wong investigates the technical sustainability and implications of blockchain technology. His research aims to provide insights into the practical applications and benefits of blockchain for improving transparency, efficiency, and sustainability in supply chain operations. 🌐📦🔗📊🌿

Publication top notes

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices

Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

Sustainability of Blockchain Technology in Supply Chains: Implications from a Critical Literature Review