Salvador Cuñat | Seguridad IoT | Best Researcher Award

🌟Mr. Salvador Cuñat, Seguridad IoT, Best Researcher Award🏆

Salvador Cuñat at Universitat Politècnica de Valencia, Spain

Salvador Cuñat Neguerol is a cybersecurity researcher specializing in Security and Trust for IoT networks. He is currently a PhD student at the Universitat Politècnica de València (UPV) in the Sistemas y Aplicaciones de Tiempo Real Distribuidos (SATRD) group. With expertise in intrusion detection systems, IoT security, pentesting, and computer forensics, Salvador’s work bridges the gap between theoretical research and practical applications in cybersecurity. He holds a Bachelor’s degree in Computer Engineering and a Master’s degree in Cybersecurity and Cyberintelligence from ETSINF, UPV.

Author Metrics

Salvador Cuñat Neguerol has established himself as a prolific author in the field of cybersecurity, with numerous publications in reputable conferences and journals. His research contributions have garnered attention within the academic community, reflecting his expertise and impact in advancing the state of cybersecurity knowledge.

ORCID Profile

Education

Salvador Cuñat Neguerol completed his Bachelor’s degree in Computer Engineering at ETSINF, UPV, Spain, from 2016 to 2020. He pursued further education by obtaining a Master’s degree in Cybersecurity and Cyberintelligence from the same institution in 2022.

Research Focus

Salvador’s research focuses primarily on Security and Trust for IoT networks within the SATRD group at UPV. His work encompasses various aspects of cybersecurity, including intrusion detection systems, IoT security, pentesting, computer forensics, and malware analysis. He is particularly interested in the application of cybersecurity measures in industrial IoT environments.

Professional Journey

Salvador Cuñat Neguerol’s professional journey began with roles as a Computer Engineer at F1-Connecting and Stadler Rail, where he gained practical experience in cybersecurity and software development. Subsequently, he transitioned into research positions at SATRD UPV, contributing to projects such as the Dataports Project and the aerOS Project.

Honors & Awards

Salvador’s dedication and expertise in cybersecurity have been recognized through various honors and awards. Notably, he was a finalist in the National Cyber League 2020 competition, showcasing his proficiency and skills in cybersecurity challenges.

Publications Noted & Contributions

Salvador Cuñat Neguerol has made significant contributions to the field of cybersecurity through his research publications. Notable among these are papers related to Digital Twin and security for industrial IoT environments, which have been presented at conferences and published in peer-reviewed journals. His research findings have contributed to advancing knowledge and understanding in cybersecurity domains.

Title: A Blockchain-based Digital Twin for IoT Deployments in Logistics and Transportation

Journal: Future Generation Computer Systems Publication Date: September 2024

Article Type: Journal Article

DOI: 10.1016/j.future.2024.04.011

Contributors:

  1. Salvador Cuñat Negueroles
  2. Raúl Reinosa Simón
  3. Matilde Julián
  4. Andreu Belsa
  5. Ignacio Lacalle
  6. Raúl S-Julián
  7. Carlos E. Palau

Abstract: The abstract is not provided in the available information.

This article, published in Future Generation Computer Systems, introduces a Blockchain-based Digital Twin for IoT deployments in the logistics and transportation sector. The contributors to this research include Salvador Cuñat Negueroles, Raúl Reinosa Simón, Matilde Julián, Andreu Belsa, Ignacio Lacalle, Raúl S-Julián, and Carlos E. Palau.

Research Timeline

Salvador’s research journey has evolved over time, starting from his academic studies in Computer Engineering and progressing to specialized research in cybersecurity at UPV. He has been actively involved in research projects and collaborations, contributing to the development of innovative solutions for cybersecurity challenges.

Collaborations and Projects

Salvador has engaged in collaborations with academic and industrial partners to tackle cybersecurity challenges. His involvement in projects such as the Dataports Project and the aerOS Project demonstrates his commitment to interdisciplinary research and practical applications of cybersecurity solutions. Through these collaborations, Salvador has contributed to advancing knowledge and addressing real-world cybersecurity threats.

 

Yu Pan | Information systems | Best Researcher Award

🌟Prof. Yu Pan, Information systems, Best Researcher Award🏆

Shanghai International Studies University, China

Professional Profiles:

Bio Summary:

Pan Yu is a renowned professor and doctoral supervisor in the field of Management Science. He holds a Ph.D. in Management Science from the University of Rennes in France and completed his postdoctoral studies at the University of Pennsylvania in the United States. Currently serving as the Dean of the School of Business and Management at Shanghai International Studies University, he is also the director of the key Laboratory of Brain and Cognitive Science Applications.

His notable achievements include being selected into prestigious programs such as the Yangtze River Award Program, National Hundred-Thousand-Ten Thousand Talents Project, and the “New Century Excellent Talent Support Program” of the Ministry of Education, among others.

Pan Yu’s research focuses on the development of cognitive neuroscience to advance management research, particularly in understanding user online behavior. He has led numerous projects and published extensively in reputed journals, contributing significantly to the intersection of neuroscience and management.

Education:

  • Ph.D. in Management Science, University of Rennes, France
  • Postdoctoral studies, University of Pennsylvania, United States

Research Focus:

Pan Yu’s research primarily revolves around cognitive neuroscience and its application in management. His key areas of focus include user online behavior, neural management, and neuroeconomics. He has contributed to understanding the neural mechanisms behind decision-making, risk-taking, and the impact of factors like facial attractiveness on social decision-making.

Professional Journey:

  • 2016-present: Professor, Doctoral Supervisor, Dean of School of International Business Administration, Shanghai International Studies University
  • 2010-2016: Professor, Doctoral Supervisor, Deputy Dean of School of Economics and Management, Beijing University of Posts and Telecommunications
  • 2009-2010: Associate Professor, School of Business, East China University of Science and Technology

Pan Yu has also held various academic positions, including adjunct professorships at international universities and executive roles in academic committees and societies.

Honors & Awards:

  • Yangtze River Award Program
  • National Hundred-Thousand-Ten Thousand Talents Project
  • New Century Excellent Talent Support Program
  • Shanghai Distinguished Professor (Oriental Scholars)
  • Jiang Yi Wei Award, China’s Information Economics Award

Publications Top Noted & Contributions:

Pan Yu has published over 50 papers in reputable journals such as Nature Human Behaviour and Management World. He has authored eight books, including “Neuroscience Promotes the Development Trend of Management” and “Government Suggestions for Enterprise Development After the Epidemic.”

His research contributions span various aspects of management, including risk decision-making, online consumer behavior, and the impact of neuroscience on managerial practices.

Title: Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis

  • Authors: Pei, G., Xiao, Q., Pan, Y., Li, T., Jin, J.
  • Journal: Neuroscience and Biobehavioral Reviews, 2023, 152, 105283
  • Citations: 0

Title: Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder

  • Authors: Zhang, P., Pan, Y., Zha, R., Wei, Z., Zhang, X.
  • Journal: General Psychiatry, 2023, 36(4), e100985
  • Citations: 1

Title: Reduced loss aversion in value-based decision-making and edge-centric functional connectivity in patients with internet gaming disorder Reduced loss aversion and edge-centric FC in IGD

  • Authors: Hong, W., Liang, P., Pan, Y., Zha, R., Zhang, X.
  • Journal: Journal of Behavioral Addictions, 2023, 12(2), pp. 458–470
  • Citations: 1

Title: Altered white matter functional network in nicotine addiction

  • Authors: Fan, C., Zha, R., Liu, Y., Pan, Y., Zhang, X.
  • Journal: Psychiatry Research, 2023, 321, 115073
  • Citations: 0

Title: Alpha oscillatory activity is causally linked to working memory retention

  • Authors: Chen, X., Ma, R., Zhang, W., Laughlin, M.M., Zhang, X.
  • Journal: PLoS Biology, 2023, 21(2), e3001999
  • Citations: 0

Author Metrics:

Pan Yu’s work has been recognized with awards such as the Jiang Yi Wei Award and China’s Information Economics Award. Additionally, he has served as a judge for major projects, a reviewer for esteemed journals, and has been involved in numerous expert committees.

  • Citations: 401 citations by 363 documents
  • Documents: 35
  • h-index: 10

Research Timeline:

  • 2012: Ministry of Education Doctoral Program – Personalized Recommendation
  • 2013: New Century Talent Support Program – Neural Mechanisms of Risk Decisions
  • 2014: Youth Innovation Project – Creative Content Management in Web 2.0
  • 2016: National Natural Science Foundation – Influence of Online Faces on User Preferences
  • 2020: Shanghai Distinguished Professors Support Tracking Plan – User Perception Decision-Making Mechanism

Pan Yu’s research journey is marked by consistent contributions to the understanding of cognitive processes in management, reflecting a commitment to interdisciplinary studies at the intersection of neuroscience and business.