Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

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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

Mrs. Meijuan Wang | Pancreatic Cancer | Best Researcher Award

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Mrs. Meijuan Wang | Pancreatic Cancer | Best Researcher Award

Department of Gastroenterology, The Ninth Medical Center of Chinese PLA General Hospital, China

Meijuan Wang is a dedicated researcher in gastroenterology, currently working as a research intern at the Department of Gastroenterology, The Ninth Medical Center of Chinese PLA General Hospital, Beijing. With a strong academic background and hands-on research experience, she has contributed significantly to studies on neuroplastic changes and autism susceptibility genes. Her work in high-impact scientific journals highlights her commitment to advancing medical research.

Publication Profile

Scopus

🎓 Education:

Meijuan Wang earned her Master’s Degree from Hainan Medical University in 2023. Her academic journey has been marked by an in-depth focus on gastroenterology and neuroscience-related research, equipping her with the skills to investigate complex medical conditions.

💼 Experience:

Since July 2023, Meijuan Wang has been a research intern at the Department of Gastroenterology, The Ninth Medical Center of Chinese PLA General Hospital. In this role, she actively engages in clinical and laboratory research, contributing to studies that explore the intersections of gastroenterology and neurological disorders.

🏆 Awards and Honors:

Meijuan Wang has been actively involved in prestigious research projects funded by the Hainan Provincial Natural Science Foundation and the Hainan Provincial Science and Technology Department. Her contributions to these projects demonstrate her expertise in cutting-edge biomedical research.

🔬 Research Focus:

Her research interests span neuroplasticity, autism spectrum disorders, and gastroenterology. She has explored the antagonistic effects of Vitamin D on neuroplastic changes in autism susceptibility genes and the regulation of thalamic relay nuclei in cerebral frontal cortex development. Additionally, her recent studies involve establishing pancreatic cancer organoids for advanced cancer research.

📖 Conclusion:

Meijuan Wang is an emerging researcher dedicated to bridging the fields of gastroenterology and neuroscience. Her contributions to high-impact research projects and scientific publications establish her as a promising scientist in the medical community.

📚 Publications:

Activity-Dependent Differential Regulation of Auts2 Isoforms In Vitro and In Vivo. Molecular Neurobiology, 60: 2973-2985. [Cited by articles in neurodevelopmental studies.]

Stratifying ASD and Characterizing the Functional Connectivity of Subtypes in Resting-State fMRI. Behavioural Brain Research, 449: 114458. [Cited in autism spectrum disorder imaging research.]

Establishing Pancreatic Cancer Organoids from EUS-Guided Fine-Needle Biopsy Specimens. Cancers, 17(4), 692. [Cited in pancreatic cancer research.]

 

Prof. Chung-Min Wu | Assistive technology | Human-Computer Interaction Award

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Prof. Chung-Min Wu | Assistive technology | Human-Computer Interaction Award

Department of Intelligent Automation Engineering, National Chin-Yi University of Technology , Taiwan

Dr. Chung-Min Wu is a dedicated researcher and educator in intelligent automation and biomedical engineering. He is an Associate Professor in the Department of Intelligent Automation Engineering at National Chin-Yi University of Technology, Taiwan. His work focuses on developing assistive technologies, intelligent home healthcare systems, and advanced AI-driven human-machine interfaces. As a member of the Taiwan Society of Biomedical Engineering and the Taiwan Society of Rehabilitation Engineering and Assistive Technology, he actively contributes to enhancing the quality of life for individuals with disabilities and the elderly.

Publication Profile

ORCID

🎓 Education

Dr. Wu earned his Bachelor’s degree in Automatic Control Engineering from Feng Chia University, Taiwan, in 1994. He pursued his Master’s degree in Biomedical Engineering at National Cheng Kung University, Taiwan, in 1998, followed by a Ph.D. in Electrical Engineering from the same institution in 2004. His academic journey has been centered around integrating AI, control systems, and biomedical applications to develop intelligent assistive technologies.

💼 Experience

With years of research and teaching experience, Dr. Wu has been instrumental in advancing AI-based assistive technologies. Currently serving as an Associate Professor at National Chin-Yi University of Technology, he leads innovative projects focusing on fuzzy control, biomedical signal processing, and brain-computer interface (BCI) systems. His work includes designing smart assistive devices for individuals with physical disabilities, enabling them to communicate, control their environment, and improve their overall well-being. He has also collaborated with interdisciplinary teams to integrate IoT-based smart home solutions for elderly healthcare.

🏆 Awards and Honors

Dr. Wu’s contributions to the field of biomedical engineering and automation have been widely recognized. His work on AI-driven assistive devices and brainwave-based control systems has been published in prestigious international journals and conferences. His research has received numerous citations, reflecting its impact on AI-assisted healthcare and assistive technology design.

🔬 Research Focus

Dr. Wu’s research is primarily divided into two key domains: assistive technology design and intelligent home healthcare. His work in assistive technology involves developing devices for individuals with severe physical disabilities, focusing on assistive input methods, brainwave-based control, and AI-powered communication tools. In intelligent home healthcare, he integrates wearable sensors, IoT, and smart voice-controlled systems to enhance elderly care and remote health monitoring. His brain-computer interface (BCI) research explores advanced AI models to improve user experience and functionality in assistive systems.

🔚 Conclusion

Dr. Chung-Min Wu is a visionary researcher dedicated to enhancing AI-driven assistive technologies and intelligent healthcare systems. His groundbreaking research in BCI, fuzzy control, and smart healthcare solutions has significantly contributed to the well-being of individuals with disabilities and the elderly. Through his continued innovations, he is shaping the future of AI-based human-machine interaction and biomedical automation. 🚀

📝 Publications

Multi-Domain Features and Multi-Task Learning for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces (📖 Applied Sciences, 2025) DOI: 10.3390/app15042176

A Personalized Contactless Emergency Aid System Designed for Individuals with Profound Physical Disabilities (📖 IEEE Access, 2024) DOI: 10.1109/access.2024.3366068

Creating an AI-Enhanced Morse Code Translation System Based on Images for People with Severe Disabilities (📖 Bioengineering, 2023) DOI: 10.3390/bioengineering10111281

Artificial Intelligence Model for an Electrocardiography-based Blood Pressure Estimation System (📖 Sensors and Materials, 2023) DOI: 10.18494/sam4234

Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs (📖 Sensors, 2021) DOI: 10.3390/s21155019

Wireless Home Assistive System for Severely Disabled People (📖 Applied Sciences, 2020) DOI: 10.3390/app10155226

Fuzzy Tracking and Control Algorithm for an SSVEP-Based BCI System (📖 Applied Sciences, 2016) DOI: 10.3390/app6100270

Design of a Code-Maker Translator Assistive Input Device with a Contest Fuzzy Recognition Algorithm for the Severely Disabled (📖 Mathematical Problems in Engineering, 2015) DOI: 10.1155/2015/780849

The SSVEP-Based BCI Text Input System Using Entropy Encoding Algorithm (📖 Mathematical Problems in Engineering, 2015) DOI: 10.1155/2015/234260

Mrs. Edna Rocio Bernal Monroy | Machine Learning | Best Researcher Award

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Mrs. Edna Rocio Bernal Monroy | Machine Learning | Best Researcher Award

UNAD, Colombia

Dr. Edna Rocío Bernal Monroy is an accomplished computer scientist and researcher specializing in informatics, machine learning, and healthcare technologies. With a strong academic background and diverse international experience, she has contributed significantly to health informatics, wearable sensors, and intelligent systems. Dr. Bernal Monroy has worked across multiple institutions in Colombia, France, and Spain, engaging in teaching, research, and project management. Her work in artificial intelligence (AI) for healthcare has earned her prestigious awards and recognition in the global scientific community.

Publication Profile

🎓 Education

Dr. Bernal Monroy holds a Ph.D. in Information & Communication Technology from the University of Jaén, Spain (2017–2021), focusing on informatics and AI applications in healthcare. She completed a Master of Engineering in Information Systems and Networks at Claude Bernard Lyon 1 University, France (2010–2012). Additionally, she pursued a Specialization in Management of Innovative Health Projects at INCAE Business School, Nicaragua (2016–2017) and earned a Bachelor of Engineering in Computer Science & Technology from the Pedagogical and Technological University of Colombia (2005–2010).

💼 Experience

Dr. Bernal Monroy has held teaching and research roles in various universities. She served as a Full-Time Teacher at the National Open and Distance University, Bogotá (2014–2020) and worked at the San Gil University Foundation (2013–2014) as a Systems Engineering Lecturer. She was also a faculty member at the Pedagogical and Technological University of Colombia (2014–2015). Additionally, she gained international experience as a Project Manager in Informatics at CALYDIAL, France (2011–2012).

🏆 Awards and Honors

Dr. Bernal Monroy has received several prestigious distinctions for her research contributions. She was awarded the Google LARA 2018 Google Research Award for Latin America for her doctoral project on innovation. She also served as a European Project Researcher for REMIND – H2020 – MSCA-RISE-2016 under the European Union’s research initiative. Additionally, she received the CAHI Research Fellowship from the Central American Healthcare Initiative (CAHI) in 2016 for her contributions to healthcare technology and informatics.

🔬 Research Focus

Dr. Bernal Monroy’s research interests lie at the intersection of AI, machine learning, healthcare informatics, and wearable technologies. She specializes in intelligent monitoring systems for healthcare applications, particularly in preventing pressure ulcers through wearable inertial sensors and using AI-driven analytics for healthcare improvements. Her work also extends to human activity recognition, telemedicine, and IoT solutions for health applications.

🏁 Conclusion

Dr. Edna Rocío Bernal Monroy is a leading researcher in AI-driven healthcare solutions with extensive experience in informatics, machine learning, and wearable technologies. Her pioneering research has contributed significantly to intelligent monitoring systems, earning her global recognition and prestigious awards. Through her academic contributions, research projects, and international collaborations, she continues to drive innovation in healthcare informatics and AI applications. 🚀

📚 Publications

Implementation of Machine Learning Techniques to Identify Patterns that Affect the Social Determinants of the Municipality of Tumaco – Nariño (2024) – Published in Encuentro Internacional de Educación en Ingeniería, this paper focuses on using AI to analyze social determinants of health.

Fuzzy Monitoring of In-Bed Postural Changes for the Prevention of Pressure Ulcers Using Inertial Sensors Attached to Clothing (2020) – Published in the Journal of Biomedical Informatics, this research has been cited 31 times and explores AI-driven healthcare monitoring solutions.

Intelligent System for the Prevention of Pressure Ulcers by Monitoring Postural Changes with Wearable Inertial Sensors (2019) – Published in Proceedings, this work highlights wearable sensor-based intelligent systems for healthcare and has been cited 11 times.

UJA Human Activity Recognition Multi-Occupancy Dataset (2021) – A dataset publication in collaboration with other researchers, cited 3 times.

Finite Element Method for Characterizing Microstrip Antennas with Different Substrates for High-Temperature Sensors (2017) – Explores sensor technologies for high-temperature environments.

Estudio de Apoyo para la Implementación de un Sistema de Telemedicina en Lyon, Francia (2013) – Discusses telemedicine systems and their applications in France.

Dr. Fernanda Cahen | International Business | Best Researcher Award

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Dr. Fernanda Cahen | International Business | Best Researcher Award

Associate Professor, ESPM – Escola Superior de Propaganda e Marketing, Brazil

Dr. Fernanda Ribeiro Cahen is an esteemed academic and researcher specializing in international entrepreneurship, strategy, and innovation. She is currently an Associate Professor at Escola Superior de Propaganda e Marketing (ESPM), Brazil, where she contributes significantly to business administration and global strategy. With a strong academic background, she has previously served as an Assistant Professor at Centro Universitário FEI and has held prestigious research positions at USC Marshall School of Business and Indiana University. Dr. Cahen is an active member of the Emerging Multinationals Research Network (EMRN) and has a prolific research portfolio, with publications in top-tier journals like the Journal of International Management, Journal of Business Research, and International Journal of Technology Management. She has also served as the Scientific Editor of Innovation & Management Review (2015-2020).

Publication Profile

🎓 Education

Dr. Cahen has a robust academic foundation, earning her Ph.D. in Business Administration from the University of São Paulo (2008-2012). Further advancing her research career, she completed a Post-Doctoral Fellowship in Business at Indiana University Purdue University at Indianapolis (2012-2013). Her academic journey has positioned her as a key expert in international business and digital strategy.

💼 Experience

Dr. Cahen has an extensive professional background in academia and research. Since March 2022, she has been an Associate Professor at ESPM, focusing on business strategy and innovation. Before this, she served for nearly a decade (2013-2022) as an Assistant Professor at Centro Universitário FEI, Brazil. She has also gained international exposure through her role as a Visiting Researcher (2018-2019) at USC Marshall – Lloyd Greif Center for Entrepreneurial Studies. Her teaching experience spans undergraduate and graduate levels at prestigious institutions in Brazil, the Kelley School of Business (Indiana University, USA), and Adelaide University (Australia).

🏆 Awards and Honors

Dr. Cahen has received recognition for her outstanding contributions to international entrepreneurship. Her research on the Internationalization of New Technology-Based Firms from Emerging Markets was funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil (2011-2012). She has also played a key role in advancing knowledge on multinational R&D decentralization and digital competencies in international ventures.

🔬 Research Focus

Dr. Cahen’s research is centered on international entrepreneurship, with a focus on strategy, innovation, and digital transformation of high-tech ventures and multinational enterprises. Her work explores how emerging market firms navigate global digital competencies, R&D decentralization, and lean internationalization. She has contributed to journals like International Business Review, R&D Management, Journal of International Management, and Journal of Business Research. Her studies provide valuable insights into institutional influences, digitalization, and international expansion in the modern business landscape.

🎯 Conclusion

Dr. Fernanda Ribeiro Cahen is a leading scholar in international entrepreneurship, digital strategy, and innovation. With a distinguished academic career across Brazil, the USA, and Australia, she has contributed groundbreaking research on global digital competencies, multinational R&D, and high-tech venture internationalization. Her work continues to shape the understanding of emerging market firms’ strategies in the digital economy. Through her teaching, research, and editorial contributions, Dr. Cahen remains a key figure in advancing international business knowledge. 🚀

📚 Publications

Unpacking global digital competence in the contemporary international venture (International Business Review, 2025) – DOI: 10.1016/j.ibusrev.2025.102414

Multinational R&D decentralization in emerging markets: subsidiary evolution, autonomy, and influence in global innovation (R&D Management, 2024) – DOI: 10.1111/radm.12672

International Digital Competencies Maximizing Lean Internationalization in Healthcare Startups (International Journal of Health Management Review, 2023) – DOI: 10.37497/ijhmreview.v9i00.334

International Digital Competence (Journal of International Management, 2020) – DOI: 10.1016/J.INTMAN.2019.100691

The influence of home-country institutions on servitization (International Journal of Emerging Markets, 2020) – DOI: 10.1108/IJOEM-05-2018-0258

The internationalisation of high-tech new ventures from Latin America – the Brazilian experience (Multilatinas: Strategies for Internationalisation, 2018) – WOS:000462120800019

The internationalisation of new technology-based firms from emerging markets (International Journal of Technology Management, 2017) – DOI: 10.1504/IJTM.2017.10004282

Managerial perceptions of barriers to internationalization: An examination of Brazil’s new technology-based firms (Journal of Business Research, 2016) – DOI: 10.1016/J.JBUSRES.2015.10.143

Internationalization of State-Owned Enterprises Through Foreign Direct Investment (Revista de Administração de Empresas, 2015) – DOI: 10.1590/S0034-759020150604

Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

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Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

Researcher Professor, Universidad Nacional Abierta y a Distancia – UNAD, Colombia

Dr. Sixto Enrique Campaña Bastidas is a distinguished researcher and academic in the field of telecommunications, wireless sensor networks, and telemedicine. Based in Colombia, he has made significant contributions to technological advancements in healthcare and assistive navigation systems. As an Associate Professor and Researcher at Universidad Nacional Abierta y a Distancia (UNAD), he has played a pivotal role in developing innovative solutions for real-world challenges. His expertise in wireless sensor networks (WSN) and telemedicine has led to groundbreaking research in medical monitoring and assistive technology for visually impaired individuals.

Publication Profile

🎓 Education

Dr. Campaña Bastidas holds a Ph.D. in Engineering with a specialization in Telecommunications from Universidad Pontificia Bolivariana. He also earned a Master’s degree in Software Libre from Universidad Autónoma de Bucaramanga, focusing on telecommunications. His academic journey includes a specialization in Networks and Telematic Services from Universidad del Cauca and an Engineering degree in Systems from Universidad Mariana. Additionally, he has received certifications as a CCNA CISCO Instructor and completed a diploma in Linux, further strengthening his technical foundation.

💼 Experience

With over two decades of experience in academia and industry, Dr. Campaña Bastidas has held key positions across multiple organizations. He has been an Associate Professor and Researcher at UNAD since 2001, contributing to cutting-edge research and innovation. His leadership roles include serving as Director of CEAD Pasto at UNAD and a faculty member at IU CESMAG and Universidad Mariana. He has also worked in various governmental and corporate roles, including the Alcaldía de Pasto, Comfamiliar de Nariño, PricewaterhouseCoopers, and the Departamento Nacional de Planeación, where he provided expert guidance in systems engineering and modernization projects.

🏆 Awards and Honors

Dr. Campaña Bastidas has received recognition for his contributions to research and academia. His work in wireless sensor networks and telemedicine has been widely acknowledged in national and international conferences and journals. He has been a key contributor to research initiatives that enhance medical monitoring and assistive technologies, earning respect from the academic and professional community.

🔬 Research Focus

Dr. Campaña Bastidas specializes in wireless sensor networks, telemedicine, and telecommunications. His research revolves around developing smart systems for medical monitoring, assistive technologies for visually impaired individuals, and intelligent healthcare solutions. His studies in machine learning, fuzzy logic, and real-time monitoring systems have advanced the application of technology in medicine and navigation. His contributions have influenced the development of wearable devices, smart sensors, and AI-driven health diagnostics.

🔍 Conclusion

Dr. Sixto Enrique Campaña Bastidas is a leading researcher and academic dedicated to advancing wireless sensor networks, telemedicine, and assistive technologies. His interdisciplinary expertise in telecommunications, machine learning, and AI-driven healthcare solutions has positioned him as a key figure in technological innovation. With a wealth of experience in both academia and industry, he continues to contribute to the global scientific community through impactful research and groundbreaking discoveries. 🚀

📚 Publications

Implementación de técnicas de machine learning para la identificación de patrones que inciden en los determinantes sociales del municipio de Tumaco – Nariño (2024) – DOI

Path planning for assisting blind people in purposeful navigation (2022, Indonesian Journal of Electrical Engineering and Computer Science) – DOI

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way (2021, Journal of Sensors) – DOI

Methodology to build a wearable system for assisting blind people in purposeful navigation (2020, ICICT Conference) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2019, Publicaciones e Investigación) – DOI

Redes de sensores Inalámbricas (WSN) caso de aplicación (2018, Book) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2017, Publicaciones e Investigación) – DOI

Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices (2017, Mobile Information Systems) – DOI

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals (2016, Lecture Notes in Computer Science) – DOI

Mrs. IMANE BOUMSISSE | Industry 5.0 Technologies | Best Researcher Award

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Mrs. IMANE BOUMSISSE | Industry 5.0 Technologies | Best Researcher Award

Phd candidat, HASSAN II University, Morocco

Imane Boumsisse is a dedicated PhD student specializing in Operational Excellence and Industrial Management with a strong expertise in Lean Six Sigma (Master Black Belt). Passionate about driving digital transformation, she integrates Industry 4.0 and Industry 5.0 technologies to optimize industrial processes. With extensive experience in project management, process optimization, and industrial digitalization, she has led numerous initiatives to enhance operational performance across various sectors.

Publication Profile

🎓 Education

Imane Boumsisse is pursuing her PhD in Engineering Sciences at ENSEM, Hassan II University, Casablanca (2021-2024), focusing on emerging Industry 5.0 technologies and operational excellence. She holds an Engineering degree in Electrical Engineering, Industrial Computing, and Automated Systems Engineering from ENSEM, Casablanca (2008-2011). Prior to that, she completed her Higher School Preparatory Classes in MPSI at Meknes (2005-2008) and earned her Higher School Degree in Mathematics from Abou Lkacem Zayani, Khenifra (2004-2005).

💼 Experience

Imane has an impressive professional background, currently working as an Operational Excellence Consultant, where she supports the transition to digitalization through Lean Six Sigma methodologies. Previously, she served as an Operational Excellence Manager at Les Eaux Minérales d’Oulmes, leading digital transformation projects and optimizing industrial performance. Her tenure at Renault Nissan Tanger as an IFMIA Consultant and Industrialization Project Manager involved managing Lean Six Sigma projects, risk analysis, and implementing quality core tools. She has also trained professionals in Lean manufacturing, quality management, and digital transformation across various industries.

🏆 Awards and Honors

Imane Boumsisse has received multiple professional certifications, including Lead Auditor for ISO 9001:2015 (QMS), ISO 14001:2018 (SME), and ISO 45001:2018 (OHSMS). She is also a certified Lean Six Sigma Black Belt (2018) and has been recognized for her leadership in operational excellence and digital transformation.

🔬 Research Focus

Her research explores the integration of Industry 5.0 technologies with Green Lean Six Sigma for sustainable industrial performance. She studies synergies between behavioral and organizational factors to enhance operational excellence and investigates innovative digital tools for optimizing industrial processes. Her work contributes to bridging the gap between technology, sustainability, and process optimization.

🔎 Conclusion

Imane Boumsisse is a forward-thinking researcher and industry leader who bridges the gap between academia and practical industrial applications. Her expertise in Lean Six Sigma, digital transformation, and operational excellence, combined with her research in Industry 5.0, positions her as a key innovator in the field. Her contributions to industrial management and sustainability continue to make a significant impact on the evolving landscape of smart manufacturing and process optimization. 🚀

📚 Publications

Study of Behavioral Levers Enhancing Operational Excellence in the Context of the Industry 5.0 Transition – International Journal of Engineering Trends and Technology (IJETT), Vol. 72, Issue 8 (2024). DOI: 10.14445/22315381/IJETT-V72I8P126

Study of Synergies Between Behavioral and Organizational Factors Impacting Operational Excellence in the Context of Industry 5.0 – Journal of Electrical Engineering, Vol. 20, No. 10s (2024). DOI: https://doi.org/10.52783/jes.6626

Exploring the Potential Synergies Between Industry 5.0 and Green Lean Six Sigma for Sustainable Performance: A New Dimension of Operational Excellence – Evolutionary Studies in Imaginative Culture, Vol. 8.2, S2 (2024). DOI: https://doi.org/10.70082/esiculture.vi.1442

Optimizing Green Lean Six Sigma Using Industry 5.0 Technologies – Cleaner Waste Systems (2025). DOI: https://doi.org/10.1016/j.clwas.2025.100234

Mr. André Guimarães | Computer Science | Best Researcher Award

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Mr. André Guimarães | Computer Science | Best Researcher Award

Researcher, University of Beira Interior, Portugal

Andre Guimarães is a dedicated researcher and educator in the fields of Engineering Sciences, Industrial Engineering, and Management. With a strong academic background, he has contributed significantly to various research projects related to Industry 4.0 and digital transformation. He currently holds research positions at the University of Beira Interior and the Polytechnic Institute of Viseu, Portugal. Alongside his academic work, Andre has accumulated practical experience in industrial environments, particularly in production management and technical consulting, where he focuses on quality management, lean methodologies, and engineering innovations. He is also a passionate educator, teaching engineering and management-related courses at the higher education level. 📚🔬

Publication Profile

ORCID

Education:

Andre’s educational journey includes a Master’s degree in Mechanical Engineering and Industrial Management from the Polytechnic Institute of Viseu. He is currently pursuing a PhD in Industrial Engineering and Management at the University of Beira Interior. Additionally, Andre holds several postgraduate qualifications, including a specialization in Industry 4.0 and Digital Transformation from the Polytechnic Institute of Porto. His training also includes certifications in quality management, Six Sigma, lean manufacturing, and other engineering disciplines. 🎓📖

Experience:

Andre’s professional career spans both academia and industry. He has worked as a researcher at the University of Beira Interior and the Polytechnic Institute of Viseu, contributing to cutting-edge research in mechanical and industrial engineering. Additionally, Andre has extensive industrial experience, having served as the Production Manager at IPROM – Products Industry Metallics Ltd, where he oversaw production processes and managed technical operations. As a consultant and facilitator at the Welding and Quality Institute, Andre applies his expertise in quality management systems and continuous improvement. 🏭⚙️

Awards and Honors:

Andre Guimarães has been recognized for his contributions to both research and industry. He is a full member of the Order of Engineers in Portugal and a fellow at FCT Research. His work has been acknowledged through various academic and industry accolades, cementing his reputation as a skilled professional and educator in his field. 🏅🌟

Research Focus:

Andre’s research interests are deeply rooted in Industry 4.0 technologies, digital transformation, lean management, and quality systems in industrial engineering. His research aims to bridge the gap between theoretical frameworks and practical applications in engineering, with a focus on improving production efficiency, implementing digital technologies, and optimizing management processes in industrial environments. His recent projects explore advanced methodologies in electromechatronics and systems research. 🔍📊

Conclusion:

With a rich academic background and a wealth of practical experience, Andre Guimarães stands at the intersection of research and industry, contributing to the evolution of engineering practices. His work, driven by a passion for innovation and education, continues to shape the future of industrial engineering and management in Portugal and beyond. Andre’s ongoing commitment to advancing the field through both research and practical applications makes him a valuable asset to the academic and industrial communities. 🚀🌍

Publications:

The influence of consumer, manager, and investor sentiment on US stock market returnsInvestment Management and Financial Innovations

Effects of Lean Tools and Industry 4.0 technology on productivity: An empirical studyJournal of Industrial Information Integration

Método Delphi modificado para abordar a transformação digital na gestão de ativosRevista de Ativos de Engenharia

Lean philosophy and Value Engineering methodologies. Their relations and synergy using Bert a natural language processing modelCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Modificação do Método Delphi para Aplicação num Questionário sobre a Transformação Digital na Gestão de AtivosCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Overview of the use of data assets in the context of Portuguese companies: Comparison between SMEs and large companiesCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Comparative analysis of welding processes using different thermoplasticsInternational Journal of Integrated Engineering

Mr. Javier Blanco-Romero | Information Theory | Best Researcher Award

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Mr. Javier Blanco-Romero | Information Theory | Best Researcher Award

PhD Student, Carlos III University of Madrid, Spain

Francisco Javier Blanco Romero is a versatile physicist and an active researcher specializing in cryptography, machine learning, robotics, IoT/IIoT, and networks. Currently based in Madrid, he is pursuing a PhD in Telematic Engineering at Universidad Carlos III de Madrid, where he focuses on integrating post-quantum cryptography into secure communication protocols for IoT and IIoT. With a background in physics and robotics, Francisco is dedicated to advancing security in next-generation communication technologies. 🌍🔐

Publication Profile

Education

Francisco holds a Bachelor’s Degree in Physics from Universidad Complutense de Madrid, specializing in fundamental and theoretical physics. He also completed a Master’s Degree in Robotics at Universidad Miguel Hernández de Elche, where his thesis focused on enhancing communication security in ROS 2. He is currently working towards his PhD in Telematic Engineering at Universidad Carlos III de Madrid, researching post-quantum cryptography integration for IoT and IIoT communication protocols. 🎓📘

Experience

Francisco’s professional career includes roles as a Research Support Technician in the QURSA Project at Carlos III University of Madrid, where he focuses on quantum random number generators and post-quantum cryptography for IoT communication. He has also contributed to various EU projects in innovation and technical management, such as the LIFE and Horizon Europe programs. His prior work includes developing a real-time tracking system and GIS for sustainable urban mobility. Francisco also taught programming courses in multimedia and web development. 💻🔍

Awards and Honors

Francisco has been recognized for his contributions to research and development, including his involvement in various prestigious academic events like the RECSI and QSNS conferences. He has authored several publications and has received scholarships for his academic work, such as those from ValgrAI and Carlos III University. 🏆📜

Research Focus

His research is centered on post-quantum cryptography, particularly its application to secure communication protocols for IoT, IIoT, and robotics. Francisco explores quantum-resistant architectures and their integration into modern cryptographic systems to ensure robust security in the face of quantum computing advancements. His ongoing work on machine learning methods for entropy estimation and quantum random number generators contributes to secure data communication in the post-quantum era. 🔒📡

Conclusion

Francisco Javier Blanco Romero is at the forefront of a rapidly evolving field, combining deep knowledge of cryptography, machine learning, and network security. His work promises significant advancements in securing communication systems for IoT, IIoT, and robotics, ensuring their resilience against emerging quantum technologies. He continues to push the boundaries of cryptography and communication security. 🚀🔑

Publications

Machine Learning Predictors for Min-Entropy Estimation
Published: Entropy, 2025-02-02
Link to Article
Cited by: 1

Evaluating Integration Methods of a Quantum Random Number Generator in OpenSSL for TLS
Published: Computer Networks, 2024-12
Link to Article
Cited by: Not yet cited

Integrating Post-Quantum Cryptography into CoAP and MQTT-SN Protocols
Published: IEEE Symposium on Computers and Communications (ISCC), 2024-06-26
Link to Article
Cited by: Not yet cited

PQSec-DDS: Integrating Post-Quantum Cryptography into DDS Security for Robotic Applications
Published: IX Jornadas Nacionales de Investigación en Ciberseguridad, 2024-05
Link to Article
Cited by: Not yet cited

Guided Waves in Static Curved Spacetimes
Published: arXiv preprint, 2024
Link to Article
Cited by: 1

Onion Routing Key Distribution for QKDN
Published: arXiv preprint, 2024-02
Link to Article
Cited by: Not yet cited