Fernando Marins | Production Engineering | Best Researcher Award

Prof. Dr.Fernando Marins | Production Engineering | Best Researcher Award

Professor at Universidade Estadual Paulista-UNESP,Brazil

Fernando Augusto Silva Marins is a Full Professor at UNESP – São Paulo State University, specializing in logistics, supply chain management, and operational research. With over four decades of academic and research experience, he has made significant contributions to the field through publications, patents, and industrial collaborations. His academic journey began with a Mechanical Engineering degree in 1976, followed by an MSc (1981) and PhD (1987), culminating in a postdoctoral internship at Brunel University in 1994. He has supervised numerous postgraduate students and participated in various international collaborations. A prolific researcher, he has published over 140 journal articles, authored two books, and contributed to 29 book chapters. He has also served as an editor and reviewer for multiple scientific journals. Recognized for his contributions, he has received 40 awards and honors, highlighting his impact on academia and industry. His research spans logistics, SCM, DEA, AHP, and simulation.

professional profiles📖

Scopus Profile

ORCID

Goolge scholar

Education 🎓

Fernando Augusto Silva Marins pursued his undergraduate degree in Mechanical Engineering in 1976. He later obtained a Master of Science (MSc) in 1981, where he deepened his understanding of engineering principles and logistics. In 1987, he earned his PhD, further refining his expertise in operational research and supply chain management. To expand his international academic exposure, he completed a postdoctoral internship at Brunel University, UK, in 1994. His educational background laid a strong foundation for his career in academia and research. With a focus on logistics, supply chain management, and decision-making methodologies, he has continuously integrated emerging technologies into his research. His extensive academic journey has enabled him to guide students at various levels, fostering new innovations and practical applications in his field. Through his diverse educational experiences, he has contributed significantly to research and academia, making a lasting impact on logistics and operational research disciplines.

work Experience💼

Fernando Augusto Silva Marins has been a Full Professor at UNESP – São Paulo State University, where he has dedicated his career to research, teaching, and industry collaborations. Over the years, he has mentored 26 PhD candidates, 37 MSc students, and 80 MBA researchers. His professional experience includes working as a researcher for CNPq, contributing extensively to operational research, logistics, and supply chain management. He has successfully led 34 research projects and actively participated in consultancy work, bridging the gap between academia and industry. His editorial contributions include serving as an editor and reviewer for numerous journals and scientific events. He has also held leadership roles within the Brazilian Operational Research Society (SOBRAPO), influencing policy and research directions. As a recognized academician, he continues to push the boundaries of research through advanced methodologies like DEA, AHP, and simulation, fostering innovations in logistics and supply chain management.

Research Focus

Fernando Augusto Silva Marins specializes in logistics, supply chain management (SCM), and operational research (OR), focusing on optimizing processes for efficiency and cost-effectiveness. His research integrates advanced methodologies such as Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), and simulation to solve complex decision-making problems. His work addresses critical challenges in transportation, inventory control, and production planning. By leveraging mathematical modeling and computational tools, he enhances decision-support systems for businesses and industries. His contributions have been widely published, with 140 journal papers and numerous conference presentations. His research extends to sustainability in logistics, emphasizing eco-friendly supply chain strategies. He collaborates with industries and academia to develop practical solutions, bridging theoretical research with real-world applications. With extensive experience in multi-criteria decision-making, his work influences operational strategies in various sectors. His ongoing projects focus on digital transformation in logistics, smart supply chains, and artificial intelligence applications in decision-making.

Awards & Honors🏆 

Fernando Augusto Silva Marins has received over 40 awards and honors for his outstanding contributions to logistics, supply chain management, and operational research. His recognition spans academia, industry, and scientific organizations. He has been honored by the Brazilian Operational Research Society for his impactful research and leadership roles. His innovative work has earned him accolades in international conferences and scientific journals. He has received best paper awards, distinguished researcher titles, and excellence in teaching honors. His contributions to decision-making methodologies like DEA, AHP, and simulation have been widely recognized by peers and institutions. His research impact is reflected in his h-index of 18 in Scopus, showcasing the high citation count of his work. Additionally, he has been acknowledged for his role in mentoring and supervising students, further cementing his legacy in academia. His dedication to advancing research and education has earned him a reputation as a leading expert.

Skills 🛠️ 

Fernando Augusto Silva Marins possesses a diverse skill set, combining academic excellence, research innovation, and industry expertise. His technical skills include operational research methodologies, logistics optimization, supply chain management, and simulation modeling. He is proficient in decision-support tools like DEA and AHP, which enhance efficiency in complex systems. His expertise extends to programming and mathematical modeling, aiding in research and industrial applications. He has strong leadership and mentoring skills, having guided over 100 students across various academic levels. His editorial experience as a journal reviewer and editor showcases his ability to assess and refine high-quality research. With excellent project management skills, he has led multiple research initiatives, ensuring impactful results. His consultancy work demonstrates his ability to apply theoretical models to real-world business challenges. His communication and collaboration skills have facilitated global partnerships, fostering innovation in logistics and operational research. His ability to bridge theory with practice sets him apart.

Conclusion✅

Fernando Augusto Silva Marins is an exceptional candidate for the Best Researcher Award. His prolific research output, academic mentorship, and contributions to logistics and operations research make him a strong contender. With enhanced industry collaborations and a focus on increasing citation impact, his research influence can be further solidified. Overall, he meets and exceeds many of the criteria for this prestigious recognition

📚Publications to Noted

The ISO 31000 standard in supply chain risk management

Authors: U.R. De Oliveira, F.A.S. Marins, H.M. Rocha, V.A.P. Salomon

Journal: Journal of Cleaner Production

Citations: 298

Year: 2017

ERP systems: features, costs and trends

Authors: T.C.C. Padilha, F.A.S. Marins

Journal: Production

Citations: 179

Year: 2005

Introduction to Operational Research

Author: F.A.S. Marins

Publisher: São Paulo: Academic Culture, Paulista State University

Citations: 140

Year: 2011

Application of design of experiments on the simulation of a process in automotive industry

Authors: J.A.B. Montevechi, A.F. de Pinho, F. Leal, F.A.S. Marins

Conference: 2007 Winter Simulation Conference

Citations: 132

Year: 2007

Analytic hierarchy process and supply chain management: A bibliometric study

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Procedia Computer Science

Citations: 105

Year: 2015

Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review

Authors: M.M.K. Almeida, F.A.S. Marins, A.M.P. Salgado, F.C.A. Santos, S.L. Silva

Journal: The International Journal of Advanced Manufacturing Technology

Citations: 104

Year: 2015

Reverse logistics management model

Authors: C.T. Hernández, F.A.S. Marins, R.C. Castro

Journal: Management & Production

Citations: 94

Year: 2012

A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill

Authors: A.F. da Silva, F.A.S. Marins

Journal: Energy Economics

Citations: 86

Year: 2014

Reverse logistics in a glass lamination company: a case study

Authors: M.E. Goncalves, F.A.S. Marins

Journal: Management & Production

Citations: 80

Year: 2006

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Journal of Cleaner Production

Citations: 79

Year: 2017

 

Luigi Bibbo’| Engineering | Best Researcher Award

Dr. Luigi Bibbo’| Engineering | Best Researcher Award

Research Fellow at Mediterranea University of Reggio Calabria, Italy

Luigi Bibbò is an accomplished researcher with a robust background in electronic and computer engineering, specializing in fields such as sensors, photonics, nanotechnology, and artificial intelligence. He has held various research positions across prestigious institutions, including the Mediterranean University of Reggio Calabria, the University of Florence, and Shenzhen University. His work spans critical areas like big data analysis, biomedical applications, and advanced technologies for climate change adaptation and healthcare. With a Ph.D. in Electronic and Computer Engineering and extensive project leadership experience, Dr. Bibbò has made significant contributions to both academic research and practical applications in his field.

professional profile📖

ORCID

Education 🎓

Dr. Luigi Bibbò has a robust educational background in electronic and computer engineering, with a focus on biomedical applications and photonic technologies. He earned his PhD in Electronic and Computer Engineering from the Second University of Naples in January 2015, under the guidance of Prof. Luigi Zeni. His doctoral thesis centered on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. This research involved the design, fabrication, and implementation of surface plasmon resonance (SPR) sensors for both biological and chemical detection, utilizing advanced techniques such as sputtering, spin-coating, and e-beam lithography. Prior to his PhD, Dr. Bibbò obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in July 2009. His master’s thesis focused on the fabrication and characterization of organic semiconductor-based organic field-effect transistors (OFET) for biomedical applications, showcasing his early interest in the intersection of electronics and biology. Dr. Bibbò also holds a three-year degree in Biomedical Engineering from Federico II University of Naples, completed in June 2006. His undergraduate thesis explored innovative technologies for cardiac diagnosis, specifically the application of multislice computed tomography to coronary arteries. This strong foundation in biomedical engineering was further validated when he passed the state exam for professional qualification in November 2010.

work Experience💼

Dr. Luigi Bibbò has an extensive background in research and academia, marked by a diverse range of experiences in various cutting-edge fields. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, where he is actively involved in big data analysis and forecasting systems as part of the TECH4YOU project, focusing on technologies for climate change adaptation and improving the quality of life. Prior to this, from March 2023 to March 2024, Dr. Bibbò was a Research Fellow at the University of Florence’s Industrial Engineering Department. Here, he contributed to the design, development, and validation of robotic technologies, IoT, and artificial intelligence for biomedical applications under the “Pharaon Project.” From August 2019 to August 2022, Dr. Bibbò served as an RTDA at the Mediterranean University of Reggio Calabria, where he led a project aimed at creating a prototype for the localization, tracking, and monitoring of elderly individuals in indoor environments. Earlier in 2019, he worked as a Research Fellow at the Nanophotonics Research Center at Shenzhen University in China, focusing on OAM beam generation and reception. His international experience also includes a postdoctoral research position at the College of Electronic Science and Technology, Shenzhen University, from April 2016 to November 2018, where he led the development of innovative devices combining plasmonic nanoparticles with a tunable dielectric matrix.

Research Focus🔎

Dr. Luigi Bibbò is a seasoned researcher with a strong background in Electronic and Computer Engineering, particularly in the fields of sensors, photonics, and biomedical engineering. His research spans a wide array of cutting-edge technologies, including big data analysis, forecasting systems, and the development of robotic technologies, IoT, and Artificial Intelligence (AI) for biomedical applications. Dr. Bibbò’s work has significantly contributed to advancements in areas such as the creation of integrated systems for monitoring and tracking elderly individuals in indoor environments, as well as the design and development of innovative devices utilizing plasmonic nanoparticles and tunable dielectric matrices.

Awards and honors🏆

Dr. Luigi Bibbò, an accomplished researcher and academic in the fields of electronic and computer engineering, has been recognized with several prestigious awards and honors throughout his career. Notably, he was awarded the position of Research Fellow at the Mediterranean University of Reggio Calabria for his significant contributions to big data analysis and forecasting systems as part of the TECH4YOU project, which focuses on technologies for climate change adaptation and quality of life improvement. His expertise in designing and developing innovative robotic technologies, IoT, and artificial intelligence for biomedical applications led to his recognition as a leading researcher in the Pharaon Project. Dr. Bibbò’s pioneering work in the creation of a prototype for an integrated system for tracking and monitoring elderly individuals in indoor environments has also garnered attention, underscoring his commitment to enhancing healthcare through advanced technology.

Conclusion✅

Dr. Luigi Bibbò is a strong candidate for the Research for Best Researcher Award, given his extensive interdisciplinary research experience, innovative contributions to biomedical engineering and climate change technologies, and his international collaborations. To further strengthen his candidacy, focusing on increasing his publication output in high-impact journals, leading major grant-funded projects, and enhancing his outreach activities would be beneficial. Overall, his achievements and potential make him a worthy contender for this prestigious award.

📚Publications to Noted

  • Title: “AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive Impairment”
    Journal: BioMedInformatics
    Year: 2024
    Date: June 24
    DOI: 10.3390/biomedinformatics4030087
    Source: Crossref
    Citations: Not provided
  • Title: “Human Activity Recognition (HAR) in Healthcare”
    Journal: Applied Sciences
    Year: 2023
    Date: December 6
    DOI: 10.3390/app132413009
    Source: Crossref
    Citations: Not provided
  • Title: “Emotional Health Detection in HAR: New Approach Using Ensemble SNN”
    Journal: Applied Sciences
    Year: 2023
    Date: March 3
    DOI: 10.3390/app13053259
    Source: Crossref
    Citations: Not provided
  • Title: “An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare”
    Journal: Sensors
    Year: 2022
    Date: October 23
    DOI: 10.3390/s22218119
    Source: Crossref
    Citations: Not provided
  • Title: “MEMS and AI for the Recognition of Human Activities on IoT Platforms”
    Publication Type: Book Chapter
    Year: 2022
    DOI: 10.1007/978-3-031-24801-6_6
    Source: Crossref
    Citations: Not provided
  • Title: “High-Speed Amplitude Modulator with a High Modulation Index Based on a Plasmonic Resonant Tunable Metasurface”
    Journal: Applied Optics
    Year: 2019
    Date: April 1
    DOI: 10.1364/AO.58.002687
    Source: Crossref
    Citations: Not provided