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.

Agerie Mengistie | Intrusion Detection | Best Researcher Award

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Ms. Agerie Mengistie | Intrusion Detection | Best Researcher Award

Intrusion Detection at College of Medicine and Health Sciences, University of Gondar, Ethiopia

Agerie Mengistie is a dedicated professional in the field of midwifery and maternal health, based in Gondar, Ethiopia. With a Bachelor of Science in Midwifery from the University of Gondar and a Master’s degree in Clinical Midwifery from Bahir Dar University, she has honed her expertise in providing comprehensive maternity healthcare services. Currently serving as a Lecturer and Researcher at the University College of Tedda Health Sciences, she plays a pivotal role in monitoring and enhancing the quality of public health research activities. Agerie has a passion for research and has successfully conducted thesis work at both undergraduate and postgraduate levels, demonstrating her commitment to advancing knowledge in her field. With a strong foundation in research methodology and proficiency in statistical software, she is well-equipped to contribute to evidence-based practices and improve maternal health outcomes in Ethiopia.

Profile:

Education

Ms. Agerie Mengistie holds a Master’s degree in Clinical Midwifery (MSc) from Bahir Dar University, Ethiopia, which she completed between February 2014 and June 2016. Prior to her Master’s degree, she obtained a Bachelor of Science in Midwifery (BSc) from the University of Gondar, Ethiopia, from May 2009 to March 2012. These academic qualifications have equipped her with a solid foundation in midwifery and clinical practices, enabling her to pursue a career focused on maternal and reproductive health.

Professional Experience

Ms. Agerie Mengistie has accumulated valuable professional experience in the field of midwifery and healthcare. Since May 2016, she has served as a Lecturer and Researcher in Clinical Midwifery at the University College of Tedda Health Sciences in Gondar, Ethiopia. In this role, she has undertaken various responsibilities, including monitoring and coordinating quality public health research activities, conducting and supervising thesis work for both undergraduate and postgraduate students, assisting senior professors in teaching and research, and contributing to manuscript preparation for peer-reviewed journals. Additionally, Ms. Mengistie has been actively involved in community diagnosis research as part of a team training program, providing research methodology training, and monitoring and evaluating public health services. Her commitment to education and research has significantly contributed to the advancement of midwifery education and healthcare services in her community.

Research Interest

Ms. Agerie Mengistie’s research interests lie in the intersection of midwifery, maternal healthcare, and public health. Specifically, she is passionate about exploring topics related to improving maternal and neonatal health outcomes, enhancing the quality of midwifery care, and advancing evidence-based practices in midwifery education and clinical practice. She is keen on conducting research that addresses key challenges in maternal healthcare delivery, such as reducing maternal mortality and morbidity rates, promoting safe childbirth practices, and ensuring access to comprehensive reproductive health services. Additionally, Ms. Mengistie is interested in investigating innovative approaches to midwifery education and training, as well as exploring the impact of cultural, social, and economic factors on maternal and child health outcomes. Through her research endeavors, she aims to contribute to the development of effective strategies and policies aimed at improving maternal and neonatal health outcomes in Ethiopia and beyond.

Award and Honors

Ms. Agerie Mengistie has been recognized for her dedication and contributions in the field of midwifery and maternal healthcare. She was granted the Induced Abortion Service award by the Ethiopian Midwifery Association in 2018 for her outstanding service in this area. This recognition highlights her commitment to providing quality healthcare services to women in need and acknowledges her significant contributions to the field of midwifery.

Research Skills

Ms. Agerie Mengistie possesses a diverse set of research skills, enabling her to contribute effectively to the advancement of knowledge in the field of midwifery and maternal health. She is proficient in various statistical software including Stata, SPSS, Epi Info, and Epi data software, which enables her to analyze data with precision and accuracy. Additionally, she is skilled in conducting systematic reviews and meta-analyses, demonstrating her ability to synthesize and evaluate existing research literature comprehensively. Moreover, Ms. Mengistie has received training in research methodology, enhancing her capacity to design and execute high-quality research studies. Her proficiency in these research skills equips her to address complex research questions and contribute meaningfully to the evidence-based practice of midwifery.