Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

University of Genoa, Italy

Federico Briatore is a dynamic researcher and consultant from Italy, specializing in Industry 4.0, Artificial Intelligence, and Healthcare. With a strong background in engineering and business administration, he has worked on optimizing industrial processes, implementing AI-driven solutions, and advancing digital transformation in various sectors. His expertise spans economic analysis, digital transformation, predictive modeling, and automation. Federico has also contributed significantly to academia with numerous research publications in top-tier journals and conferences.

Publication Profile

🎓 Education

Federico holds a Ph.D. in Engineering of Models, Machines, and Systems for Energy, Environment, and Transportation (expected in 2025). He has also earned a Master’s Degree (Level II) in Artificial Intelligence and Blockchain, an MBA (Level II) with honors, and a Master’s Degree in Management Engineering. Additionally, he is a certified engineer in both the Industrial and Information sectors. His educational foundation is further strengthened by a Bachelor’s Degree in Industrial and Management Engineering and a High School A-level diploma in Administration, Finance, and Marketing.

💼 Experience

Federico has extensive experience across multiple industries, including consultancy roles at Regione Liguria, Covim SPA, and OM3 Engineering SRL, where he optimized production processes and digital transformation strategies. His expertise in AI was further honed at Metakol S.r.l., where he trained AI models for insurance fraud detection and maritime forecasting. He has also served as a high school professor, teaching Mathematics, Computer Science, and Physics. His work spans market analysis, financial statement analysis, process optimization, and AI-driven solutions for industrial and healthcare applications.

🏆 Awards and Honors

Federico has been recognized for his academic excellence, securing 110/110 in his Master’s degrees and an MBA with honors (110 con lode/110). His innovative projects in Industry 4.0 and Healthcare AI have been acknowledged through publications in prestigious journals and conferences. His engineering and technological solutions have contributed to advancements in sustainable supply chains, hospital management, and industrial automation.

🔬 Research Focus

Federico’s research interests revolve around Industry 4.0, Artificial Intelligence, and Healthcare Systems. His work integrates IoT, Cyber-Physical Systems, and AI-driven predictive modeling to optimize industrial and medical processes. He has conducted bibliometric analyses on sustainable supply chains, developed AI models for maritime forecasting, and worked on Engineering 4.0 applications to combat hospital infections and enhance bed management systems.

🔎 Conclusion

Federico Briatore is a multidisciplinary expert in Industry 4.0, AI, and digital transformation, contributing both academically and professionally to technological advancements in healthcare and industrial sectors. His diverse research, consultancy, and teaching experiences make him a key figure in modern engineering and business innovations. 🚀

📖 Publications

Exploring Industry 4.0’s Role in Sustainable Supply Chains: Perspectives from a Bibliometric Review (2025) – Logistics

Advanced 4.0 Bed Management System, embedded with IoT, Digital Twins, and Cyber-Physical System (2024) – TechRxiv

Personal Protective Equipment Management and Maintenance: An Innovative Project Conducted in a Major Italian Manufacturing Company (2023) – WSEAS Transactions on Systems

A Literature Review on Applied AI to Public Administration: Insights from Recent Research and Real-Life Examples (2023) – Book Chapter

An Application of Engineering 4.0 to Hospitalized Patients (2023) – SysInt 2022 Conference

Fighting Hospital Infections with Engineering 4.0 (2023) – SysInt 2022 Conference

Artificial Intelligence for Supporting Forecasting in the Maritime Sector (2022) – Summer School Francesco Turco Proceedings

Engineering Solutions 4.0 in the Fight Against the Spread of COVID-19 (2022) – Summer School Francesco Turco Proceedings

Pardis Roozkhosh | additive manufacturing | Best Researcher Award

Dr. Pardis Roozkhosh | additive manufacturing | Best Researcher Award

Lecturer, Ferdowsi University of Mashhad, Iran

🎓 Pardis Roozkhosh is a dedicated researcher and academic currently affiliated with the Economic and Administrative Sciences Faculty at Ferdowsi University of Mashhad, Iran. Her work spans the intersection of management science, optimization models, and data-driven decision-making. Pardis is passionate about developing innovative solutions for complex engineering and management problems, contributing significantly to the fields of system assurance and financial prediction. 📚✨

Publication Profile

Scopus

Education

🎓 Pardis Roozkhosh has been pursuing her academic journey at Ferdowsi University of Mashhad since June 2019. She is part of the Economic and Administrative Sciences Faculty, focusing her expertise on research-driven methodologies to address real-world challenges.

Experience

🌟 Pardis has actively contributed to the academic community through her research publications and peer review activities. She is recognized for her insightful contributions to journals such as the International Journal of System Assurance Engineering and Management and Applied Soft Computing. Her expertise includes optimization models, decision-making under uncertainty, and financial predictions.

Research Interests

💡 Pardis Roozkhosh’s research interests include multi-criteria decision-making (MCDM), optimization in management science, hub location-allocation problems, and predictive modeling for financial systems like Bitcoin price forecasting. Her work is deeply rooted in addressing uncertainty and tardiness in real-world scenarios. 🔍📈

Awards

🏆 While specific awards are not listed, Pardis’s impactful publications and active contributions to peer reviews in renowned journals like Expert Systems with Applications reflect her professional recognition in the academic community.

Publications

A new model to design a product under redundancy allocation problem and MCDM
📅 Published: November 29, 2024 | Journal: International Journal of System Assurance Engineering and Management
📖 Cited by: Pending

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
📅 Published: January 2, 2023 | Journal: International Journal of Management Science and Engineering Management
📖 Cited by: Pending

MLP-based Learnable Window Size for Bitcoin price prediction
📅 Published: August 2022 | Journal: Applied Soft Computing
📖 Cited by: Part of ISSN: 1568-4946

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
📅 Published: June 5, 2022 | Journal: International Journal of Management Science and Engineering Management
📖 Cited by: Pending