Lahcen Tamym | AI in Healthcare | Best Researcher Award

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Assoc. Prof. Dr. Lahcen Tamym | AI in Healthcare | Best Researcher Award

Associate Professor at Jean Monnet University, France

Lahcen Tamym is a dynamic academic professional and researcher in the field of computer science, currently serving as an Assistant Professor in Industrial Engineering and Healthcare Systems Engineering at Jean Monnet University, Saint-Étienne, within the LASPI Laboratory. His academic and research journey is rooted in Big Data and Data Science, with a particular focus on sustainable, resilient, and intelligent networked enterprises. With a passion for innovation at the intersection of emerging technologies and socio-environmental goals, Dr. Tamym has developed advanced frameworks for optimizing supply chains, improving life cycle sustainability, and enhancing decision-making using Big Data Analytics (BDA), Machine Learning (ML), Internet of Things (IoT), and Blockchain technologies. His multidisciplinary work continues to advance smart industrial systems aligned with the Sustainable Development Goals (SDGs).

Profile

Scopus

Education

Lahcen Tamym began his academic path with a Bachelor’s degree in Mathematical and Computer Sciences from Ibn Zohr University in Morocco, where he developed optimization models using CPLEX and MINOS. He then pursued a Master’s degree in Intelligent and Decision Support Systems at Sidi Mohamed Ben Abdellah University, where his work focused on deep learning for graph representation. He earned his Ph.D. in Computer Science from Aix-Marseille University, France, and Université Moulay Ismail, Morocco. His doctoral research specialized in Big Data Analytics for managing flexible, robust, and sustainable networked enterprises. The study emphasized machine learning, predictive analytics, and optimization in supply chains and sustainable value creation, forming the foundation for his continuing contributions to sustainable industrial development.

Experience

Dr. Tamym’s professional trajectory includes teaching and research across several institutions in France and Morocco. Before his current faculty position at Jean Monnet University, he served as a Temporary Teaching and Research Assistant (ATER) at Aix-Marseille University. During this time, he was involved in both instructional duties and cutting-edge research in computer science and interaction. His earlier involvement in collaborative research at Laboratoire d’Informatique et Systèmes (LIS) in France and Laboratoire d’Informatique et Applications (IA) in Morocco provided him with diverse academic exposure and the opportunity to build multidisciplinary solutions addressing real-world challenges in industrial and healthcare domains.

Research Interest

Dr. Tamym’s research revolves around the application of advanced data-driven methods to enhance sustainability, flexibility, and resilience in networked enterprises. His areas of interest include Big Data Analytics, IoT, Blockchain, Machine Learning, and Decision Support Systems. He is particularly focused on sustainable supply chain management, life-cycle assessment, risk analysis, and social sustainability evaluation. He has also explored blockchain-based security models for IoT, financial fraud detection systems using deep learning, and natural language processing in educational and healthcare systems. By integrating these technologies, he aims to create intelligent, transparent, and adaptive networks capable of responding to dynamic global and industrial demands.

Award

Although specific awards are not listed, Dr. Tamym’s consistent involvement in prestigious conferences and publication in reputable journals underlines his recognition within the academic community. His work has been well-received at international forums such as the International Conference on Ambient Systems, Networks and Technologies, and IFAC conferences, reflecting the impact and value of his contributions. His research aligns with global agendas for sustainable industry and digital transformation, enhancing his profile as a leading researcher in his domain.

Publication

Dr. Tamym has published widely in top-tier journals and conferences. Notable publications include:

  1. Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation, Journal of Big Data (2023), cited for contributions to sustainable manufacturing assessment.

  2. Big data analytics-based approach for robust, flexible and sustainable collaborative networked enterprises, Advanced Engineering Informatics (2023), cited for its novel integration of resilience in supply chains.

  3. A big data based architecture for collaborative networks: Supply chains mixed-network, Computer Communications (2021), contributing to architecture modeling for collaborative systems.

  4. A Big Data Analytics-Based Methodology For Social Sustainability Impacts Evaluation, Procedia Computer Science (2023), a case-based analysis on social sustainability metrics.

  5. How Can Big Data Analytics and Artificial Intelligence Improve Networked Enterprises’s Sustainability?, IEEE ACDSA Conference (2024), exploring AI’s role in sustainable enterprise development.

  6. Distributed Deep Learning-Based Model for Financial Fraud Detection in Supply Chain Networks, ICICT 2024, addressing cybersecurity challenges in digital supply chains.

  7. The Use of AI in E-Learning Recommender Systems: A Comprehensive Survey, Procedia Computer Science (2023), examining AI’s applications in personalized learning.

Conclusion

Lahcen Tamym stands at the forefront of interdisciplinary research, bridging data science and sustainable systems engineering. His academic contributions are rooted in practical application, ensuring that intelligent technologies directly impact the design and operation of industrial and healthcare systems. With a forward-looking vision aligned with Industry 5.0 principles and the SDGs, his research continues to influence the development of smart, ethical, and eco-efficient networks. Dr. Tamym’s commitment to fostering data-driven innovation across domains positions him as a transformative figure in the evolving landscape of sustainable and resilient enterprise systems.

Diana Patricia Molina Delgado | Digitalization in Agroecology | Best Researcher Award

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Dr. Diana Patricia Molina Delgado | Digitalization in Agroecology | Best Researcher Award

Technician at FCAC, Spain

Diana Molina Delgado is an experienced agrifood specialist whose professional mission centers on optimizing organizational processes through innovative, sustainable, and analytical methods. With a strong foundation in agricultural engineering and food technology, she integrates technical acumen with managerial insight to support agribusiness development and cooperative projects. Her diverse career spans research, advisory roles, project management, and international collaboration. Diana is known for her dedication to R+D+i, cooperation, and sustainability in the agricultural sector, particularly in fruit postharvest optimization, quality assessment, and the advancement of practical solutions tailored to producers’ needs.

Profile

Scopus

Education

Diana holds a Ph.D. in Agricultural Science and Food Technology from Universitat de Lleida, where she specialized in non-destructive, biochemical, and consumer-based quality assessment technologies for apples. Her doctoral work focused on determining optimal harvest periods and preserving fruit quality through technological innovations. She also earned a Master’s in Business Administration from IMF Business School (2020–2023), enhancing her ability to manage agribusiness projects with strategic and administrative competence. Earlier, she completed her degree in Agricultural Engineering at Universidad Nacional de Colombia, where she gained fundamental skills in optimizing agricultural productivity and generating technological responses to sectoral challenges. Her academic journey began with a Bachelor’s in Social Sciences from Universidad Distrital, providing her a multidisciplinary perspective on social and organizational systems.

Experience

Over the past two decades, Diana has amassed extensive experience in agribusiness and food quality management. She currently works at the Federació de Cooperatives Agràries de Catalunya, focusing on grant and project management to bolster R+D+i initiatives among cooperatives. Previously, at IRTA – Mas Badia (2017–2019), she served as a postharvest management advisor, optimizing apple storage and handling processes while coordinating regional application services for Agrofresh®. From 2009 to 2017, she was a fruit production advisor at ACTEL GRUP, bridging scientific knowledge with field application in fruit production management. Diana’s early research career included a visiting researcher role at École Supérieure d’Agriculture d’Angers in France and a Ph.D. researcher post at Universitat de Lleida, where she explored postharvest technologies and participated in international collaborations. Her earlier professional engagements in Colombia included roles as an assistant manager in agro-food development organizations, university lecturer, and greenhouse operations manager.

Research Interest

Diana’s research interests lie at the intersection of agrifood innovation, postharvest technology, resource optimization, and sustainable practices. Her work emphasizes non-destructive quality assessment tools, sensory evaluation, and the application of acoustic and biochemical techniques in fruit quality analysis. She is particularly passionate about integrating consumer preference metrics with physiological indicators to guide optimal harvest timing and enhance storage strategies. Diana has also contributed to European and national research projects focused on digitalization and circular agriculture, underlining her commitment to agroecological transitions and sustainability.

Award

While specific named awards are not documented, Diana’s recognition is evident in her active involvement in over 21 international congresses, her contribution to more than 17 scientific publications, and her participation in significant EU-funded projects like PATH2DEA and AGRILOOP. Her scientific visibility and collaborative reach highlight her respected status in the postharvest and agrifood research community.

Publication

Diana Molina Delgado’s impactful research is reflected in several peer-reviewed and edited volumes. Notable publications include:

  1. Aportación del cooperativismo agrario y agroalimentario en la producción y el desarrollo sostenible (2022, Editorial Aranzadi) – cited in sustainability and cooperative management literature.

  2. “Determinación de la firmeza en melocotón mediante técnicas acústicas y tradicionales” (2008, Zaragoza: Acribia) – referenced in studies comparing mechanical and acoustic quality assessment methods.

  3. “Addressing potential sources of variation in several non-destructive techniques for measuring firmness in apples” (2009, Biosystems Engineering, Vol. 104) – cited for methodological insights in firmness evaluation.

  4. “Antioxidant activity determines on-tree maturation in Golden Smoothee apples” (2009, Journal of the Science of Food and Agriculture, Vol. 89) – cited in works on antioxidant metrics and fruit maturity.

  5. “Relationship between acoustic firmness and Magness Taylor firmness in apples” (2009, Food Science and Technology International, Vol. 15) – widely referenced for acoustic firmness calibration.

  6. “Quality indexes for Golden Smoothee apple in relation to consumer evaluation” (2006, Journal of Fruit and Ornamental Plant Research, Vol. 14) – cited in research linking sensory data with harvest indicators.

  7. “Seasonal trends in harvest indices for Golden Smoothee apples in Spain” (2006, Fruit and Ornamental Plant Research, Vol. 14) – noted for its practical application in seasonal harvest planning.

Conclusion

In summary, Diana Molina Delgado exemplifies a research-practitioner model, uniting academic excellence, field expertise, and a collaborative spirit. Her work enriches the agrifood sector through data-driven innovations in postharvest management, consumer-centric quality evaluation, and cooperative development. Through her contributions to national and European projects and her commitment to sustainability and innovation, Diana continues to be a valuable figure in the global dialogue on agricultural modernization and food system resilience.

Romuald Rzadkowski | Signal Processing | Best Researcher Award

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Prof. Romuald Rzadkowski | Signal Processing | Best Researcher Award

Head of Aeroelastic Department at Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Poland

Professor Romuald Rzadkowski is a renowned figure in the field of fluid mechanics and turbomachinery, recognized for his extensive research contributions and academic leadership. As a full professor and the Head of the Aeroelastic Department at the Institute of Fluid-Flow Machinery, Polish Academy of Sciences in Gdansk, he has spent decades advancing the science of unsteady aerodynamics, structural dynamics, and diagnostics in rotating machinery. In his career, he has authored over 200 scientific papers, written 20 books, and edited two, influencing both theoretical frameworks and industrial applications. His academic involvement is complemented by service as Vice-Editor of the Journal of Vibration Engineering and Technologies and an active role in organizing the VETOMAC conference series.

Profile

Scopus

Education

Professor Rzadkowski holds dual Master’s degrees, reflecting his interdisciplinary expertise. He earned an MSc in Engineering from the Gdansk University of Technology in 1978 and later completed an MSc in Mathematics at the University of Gdansk in 1983. These foundational studies established a strong base in both applied mechanics and theoretical analysis. He continued his academic journey by obtaining a PhD in 1988 from the Institute of Fluid-Flow Machinery at the Polish Academy of Sciences, followed by a Doctor of Science (DSc) degree in 1998 from the same institution. This academic progression underscores his commitment to deepening scientific understanding across fluid dynamics and structural mechanics.

Experience

Since joining the Institute of Fluid-Flow Machinery at the Polish Academy of Sciences in 2004 as a full professor, Professor Rzadkowski has led the Aeroelastic Department with a focus on cutting-edge research and innovation in turbomachinery. His career spans decades of experience not only in academia but also in collaborative industrial research. He is a Fellow of the International Federation for the Promotion of Mechanism and Machine Science (IFToMM) and actively contributes to the ASME Committee on Structures and Dynamics. His mentorship has guided 14 doctoral candidates to successful dissertations, cultivating the next generation of researchers. Moreover, his leadership in organizing major international conferences highlights his dedication to knowledge dissemination and global collaboration.

Research Interest

Professor Rzadkowski’s research interests lie at the intersection of fluid dynamics and mechanical engineering, particularly in the dynamics of turbomachinery. His work has significantly contributed to the understanding of life estimation of turbine blades under operational stress conditions, both steady and unsteady. He is a pioneer in analyzing and mitigating flutter and nonsynchronous vibrations in turbine stages and has developed innovative signal processing techniques, including tip-timing algorithms, for monitoring and diagnosing complex rotor systems. His contributions extend to the development of systems that assess and predict remaining component life following mechanical failures, making his work valuable for both academic and industrial stakeholders in the energy sector.

Award

Throughout his illustrious career, Professor Rzadkowski has been recognized for his scientific excellence and international impact. While specific awards are not detailed here, his election as a Fellow of IFToMM and his involvement in the ASME Committee on Structures and Dynamics speak to his global reputation and recognition among peers. His role as a Vice-Editor and conference organizer further illustrates the esteem in which he is held in the scientific community.

Publication

Among his recent notable publications are:

  1. Multimode Tip-Timing Analysis of Steam Turbine Rotor Blades, IEEE Sensors Journal, 2023 – cited by 19 articles.

  2. Nonsynchronous Rotor Blade Vibrations in Last Stage of 380 MW LP Steam Turbine at Various Condenser Pressures, Applied Sciences (Switzerland), 2022 – cited by 18 articles.

  3. An Optimal Parameter Identification Approach in Foil Bearing Supported High-Speed Turbocharger Rotor System, Archive of Applied Mechanics, 2021 – cited by 14 articles.

  4. Computational Fluid Dynamics Analysis of Several Designs of a Curtis Wheel, Archives of Thermodynamics, 2021 – 0 citations.

  5. Computational Fluid Dynamics Analysis of 1 MW Steam Turbine Inlet Geometries, Archives of Thermodynamics, 2021 – cited by 5 articles.

  6. Design and Investigation of a Partial Admission Radial 2.5-kW Organic Rankine Cycle Micro-Turbine, Archives of Thermodynamics, 2021 – cited by 19 articles.

  7. Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down, Archives of Thermodynamics, 2021 – cited by 19 articles.

Conclusion

Professor Romuald Rzadkowski’s academic and research legacy is a testament to his lifelong commitment to solving some of the most challenging problems in turbomachinery and structural dynamics. Through innovative methods in unsteady flow modeling, signal diagnostics, and failure life estimation, he has significantly enhanced the predictive maintenance and safety standards of rotating machinery. His influence is further magnified through his extensive publication record, global collaborations, editorial leadership, and dedicated mentorship. As a thought leader in his field, he continues to shape the future of aeroelastic research and mechanical diagnostics with both academic rigor and industrial relevance.