Salvador Cunat | Digital Signatures | Best Researcher Award

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Mr. Salvador Cunat | Digital Signatures | Best Researcher Award

Researcher and Training at Polytechnic University of Valencia, Spain

Salvador Cuñat is a dedicated researcher at the Polytechnic University of Valencia (Universitat Politècnica de València, UPV), specializing in cybersecurity and IoT networks. He holds a Bachelor’s degree in Computer Engineering and a Master’s degree in Cybersecurity and Cyberintelligence from UPV. Salvador’s research interests encompass security measures for IoT devices, intrusion detection systems, and digital twin technology for industrial IoT environments. He has showcased his expertise through various projects and papers, contributing significantly to the field. Salvador’s professional journey includes roles as a computer engineer and researcher, reflecting his commitment to practical application and academic exploration. With a passion for innovation and problem-solving, Salvador continues to make valuable contributions to the cybersecurity landscape.

Profile:

Education:

Salvador Cuñat completed his Bachelor’s degree in Computer Engineering (Grado en Ingeniería Informática) at ETSINF, UPV, España, from 2016 to 2020. Subsequently, he pursued a Master’s degree in Cybersecurity and Cyberintelligence (Máster Universitario en Ciberseguridad y Ciberinteligencia) at the same institution from 2020 to 2022. Additionally, he attained a C2 level proficiency in English from Cambridge Assessment English.

Professional Experience

Salvador Cuñat pursued a Bachelor’s degree in Computer Engineering at ETSINF, UPV, España, from 2016 to 2020, followed by a Master’s degree in Cybersecurity and Cyberintelligence from 2020 to 2022. Alongside his academic journey, he attained a C2 level proficiency in English from Cambridge Assessment English. Salvador’s professional trajectory includes roles such as a Computer Engineer at F1-Connecting and Stadler Rail in Valencia, and as a Researcher for the Dataports and aerOS Projects at SATRD UPV, Valencia. These experiences, coupled with his expertise in intrusion detection systems, IoT security, ethical hacking, and software development, showcase his versatile skill set. Salvador’s dedication to academic excellence and practical application positions him as a promising figure in the fields of computer engineering, cybersecurity, and research.

Research Interest

Salvador Cuñat’s research interests primarily revolve around security and trust in IoT networks. Specifically, he focuses on the development of robust security measures to safeguard IoT devices and networks against cyber threats. His work delves into areas such as intrusion detection systems, malware analysis, and security incident management tailored for IoT environments. Additionally, Salvador explores the concept of Digital Twin technology and its applications in enhancing security for industrial IoT setups. Through his research, he aims to address the pressing challenges posed by the proliferation of IoT devices, ensuring their resilience against cyberattacks while fostering trust among users and stakeholders. Salvador’s contributions to the field are driven by a commitment to advancing cybersecurity solutions that can effectively mitigate risks in increasingly interconnected and digitized ecosystems.

Award and Honors

Salvador Cuñat has received notable awards and honors throughout his academic and professional journey. He was recognized as a finalist in the National Cyber League during the 2020 edition, showcasing his expertise and proficiency in cybersecurity. Additionally, Salvador’s contributions to the field include the development of an intrusion detection system on open software in 2020, demonstrating his innovative approach to addressing cybersecurity challenges. These accolades underscore Salvador’s dedication to excellence and his ability to make significant contributions to the cybersecurity domain.

Research Skills

Salvador Cuñat’s research skills are comprehensive and finely tuned, drawing from his academic and professional journey. He adeptly conducts literature reviews, identifying gaps and shaping research objectives. His expertise extends to designing experiments and methodologies tailored to address specific questions, ensuring the reliability of data collection. Proficient in various data analysis techniques, including statistical analysis and qualitative coding, Salvador derives meaningful insights from research findings. He excels in problem-solving within the cybersecurity domain, employing critical thinking and analytical reasoning to formulate innovative solutions. Technical proficiency in programming languages, database management, and software development facilitates the implementation of research projects and prototype development. Salvador effectively communicates research findings through presentations, reports, and scholarly publications, demonstrating clarity and coherence. Collaborating seamlessly with multidisciplinary teams, he leverages diverse perspectives to drive research projects forward collaboratively. Overall, Salvador’s research skills position him as a capable and versatile contributor to the advancement of knowledge in cybersecurity and related fields.