Sara Masiero | Artificial Intelligence | Outstanding Contributions in Academia Award

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Mrs. Sara Masiero | Artificial Intelligence | Outstanding Contributions in Academia Award

Collaboratrice at Scuola Universitaria Professionale della Svizzera Italiana, Switzerland

Sara Masiero is a dedicated and forward-thinking management engineer with a strong passion for innovation and digital transformation. She thrives on discovering new concepts and implementing solutions that enhance industrial efficiency, sustainability, and resilience. A firm believer in the power of serenity, she fosters an environment conducive to creativity and proactive engagement. Beyond her professional endeavors, Sara embraces adventure and cultural exploration, always seeking experiences that resonate with her positive energy.

Profile

Scopus

Education

Sara Masiero pursued her higher education at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), where she obtained a Master of Science in Engineering (2018-2021). During her academic journey, she actively engaged in research projects focusing on optimizing industrial systems and integrating digital tools for process enhancement. Prior to her master’s degree, she earned a Bachelor of Science in Ingegneria Gestionale (2015-2018) from the same institution. She further honed her expertise through specialized programs, including the English Summer School at Horner School of English, AIGreen Business Lab by EIT Digital, and professional training in learning assessment methodologies.

Experience

Sara Masiero has amassed substantial experience in both academia and industry, contributing to projects that merge theoretical research with practical applications. Since November 2018, she has been serving as a scientific collaborator at SUPSI, where she plays a pivotal role in research and scientific development within the realm of Industry 4.0 and 5.0. Her work emphasizes human-centered industrial paradigms, sustainability, and resilience, while she also manages digital processes for EU H2020 projects and provides training in Industrial Engineering courses.

Between January 2023 and February 2024, Sara worked as a Business Process Manager at Masiero G. Srl and Z. Account Service Srl, overseeing financial and commercial processes related to sales, customer service, and supplier relations. She also ensured regulatory compliance and operational efficiency through effective bureaucratic and administrative process management. Earlier, she collaborated with STISA SA and LINNEA (September 2020 – February 2021) to develop her master’s thesis on optimizing material flows and warehouse layouts in logistics systems. Additionally, during her bachelor’s studies, she worked with RIRI SA (June 2018 – September 2018) on a thesis analyzing raw material purchasing processes with a focus on sustainability.

Research Interests

Sara Masiero’s research interests are deeply rooted in industrial innovation, digital transformation, and sustainability. She focuses on the integration of advanced digital tools in production systems, addressing the challenges and opportunities presented by Industry 4.0 and 5.0. Her work revolves around Quality Management advancements, human-centric industrial paradigms, and AI-driven digital platforms that enhance manufacturing processes. Furthermore, she explores methodologies for optimizing supply chain operations and ensuring regulatory compliance within rapidly evolving technological landscapes.

Awards and Recognition

Throughout her academic and professional journey, Sara has been recognized for her contributions to research and process optimization in industrial settings. Her innovative approach to digital transformation and industrial efficiency has earned her accolades in academic conferences and industry collaborations. She has actively participated in prestigious projects and workshops, further cementing her reputation as a knowledgeable and influential figure in the field of industrial engineering and management.

Publications

Corti, D., Masiero, S., & Gladysz, B. (2021). “Impact of Industry 4.0 on Quality Management: Identification of main challenges towards a Quality 4.0 approach.” IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), pp. 1-8.

Masiero, S., Qosaj, J., & Cutrona, V. (2024). “Digital Datasheet model: enhancing value of AI digital platforms.” Procedia Computer Science, 232, 149-158.

Masiero, S., Qosaj, J., Bettoni, A., & Gladysz, B. (2024). “Technology-Driven Measures for Human Centricity in the Manufacturing Sector.” International Association for the Management of Technology Conference, pp. 81-88, Cham: Springer Nature Switzerland.

Conclusion

Sara Masiero exemplifies the essence of a modern engineer—one who seamlessly integrates research, industry expertise, and a passion for innovation. Her extensive experience in digital transformation, quality management, and process optimization makes her a valuable contributor to the fields of industrial engineering and management. With a strong academic background, diverse professional experience, and a commitment to sustainability and human-centric methodologies, Sara continues to drive meaningful advancements in Industry 4.0 and 5.0. Her contributions to research and industry projects underscore her ability to bridge theoretical knowledge with practical applications, paving the way for smarter, more resilient production systems in the future.

Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

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Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.