Short Bio

Dr. Elmisery is a Reader in Cybersecurity at London Metropolitan University. He holds a Ph.D. in Information Security and Assurance from South East Technological University, Ireland. He served as a senior research fellow in cybersecurity at Federico Santa María University, Chile, and a postdoctoral research fellow in cybersecurity at Malmo University, Sweden, and Monash University, Australia. He possesses 18+ years of R&D experience, during which he has held several academic and industrial positions in different parts of the world, including Chile, Sweden, Australia, Ireland, Egypt, Saudi Arabia, Malaysia, and the UK. He has worked on numerous industrial and international projects in areas involving cybersecurity, IoT, and machine learning. Recently, he completed a Microsoft-funded project related to "Adaptive IoT Security" and a Google-funded project related to "Teaching IoT Security Science.". He has also been actively contributing as a member of the COVID-19 Outbreak Expert Database of the UK Parliament. During this period, he has made significant contributions to the cybersecurity field by identifying and disclosing over 13 new Common Vulnerabilities and Exposures (CVEs) affecting widely used online services. He holds several professional and industrial certifications in the fields of managing networked systems and offensive cybersecurity from top tech companies. He has also received six best paper awards at different international conferences in Denmark, USA, Portugal, Malaysia(2), and Chile. He serves as a member of the Cybersecurity Advisory Board of the OpenUK Society and is the Director of Training & Outreach for the Association of Cyber Forensics and Threat Investigators (ACFTI). The body of his work encompasses 6 patents, 4 books, 10 book chapters, and more than 50 research papers in international journals and conferences.

Long Bio

Dr. Elmisery received his Ph.D. degree in computing - Information Security and Assurance from South East Technological University (formerly Waterford Institute of Technology), Ireland, and his M.Sc. Degree in computing—applied cryptography from the Arab Academy for Science, Technology & Maritime Transport (Ranked 1st on a Class of 90) in partnership with the University of North Texas, United States, and the US-Egypt Science and Technology program. Dr. Elmisery holds the following professional certifications CCNA (Cisco Certified Network Associate), CCNP (Cisco Certified Network Professional), CHFI (Computer Hacking Forensic Investigator), CEH (Certified Ethical Hacker), OSCP (Offensive Security Certified Professional), OSCE (Offensive Security Certified Expert), MCSE (Microsoft Certified Solutions Expert), and MCDBA (Microsoft Certified Database Administrator). His contributions to IoT security were recognized through his participation in the  Welsh Crucible Research Leadership Programme 2023. He serves as a member of the Cybersecurity Advisory Board of the OpenUK Society and is the Director of Training & Outreach for the Association of Cyber Forensics and Threat Investigators (ACFTI)

Dr. Elmisery previously worked as a security software engineer (CompuNet Inc), network troubleshooting engineer (Cisco Systems), data mining engineer & project manager (FeedHenry—a startup company currently acquired by RedHat), and independent malware analyst for 2 of the top cybersecurity and antivirus providers and different startups. In 2009, Dr. Elmisery was a researcher at Walton Institute (formerly the Telecommunications Software & Systems Group), Ireland, where he was conducting research on various European-funded projects. Soon after, Dr. Elmisery obtained a research fellowship from the Centre for Advanced Technology in Telecommunications and Secure Systems at Monash University, Australia, where he was leading an industrial project related to quantum key distribution in optical access networks. Additionally, he obtained a second research fellowship from the Swedish research cluster on the Internet of Things, Sweden, where he was leading a research group working on an industrial project related to securing IoT solutions for smart homes funded by The Swedish Knowledge Foundation Vinnova and KK-Stiftelsen. In 2017 he was appointed as a Senior Research Fellow in Cyber Security at the Advanced Center for Electrical and Electronic Engineering (AC3E) of Federico Santa María Technical University, Chile. From 2019 to 2023 was a Senior Lecturer in Cyber Security and Forensics at NCSC's Academic Centre of Excellence in Cyber Security Education of the faculty of Computing Engineering & Science, University of South Wales, UK.

Dr. Elmisery possesses over 18 years of experience, during which he has held several academic and industrial positions in different parts of the world, including Chile, Sweden, Australia, Ireland, Egypt, Saudi Arabia, Malaysia, and the UK. He served as a senior research fellow in cybersecurity at Federico Santa Maria University, Chile, and a postdoctoral research fellow in cybersecurity at Malmo University, Sweden, and Monash University, Australia. His current research interests include reverse engineering, systems penetration testing, machine learning, privacy-enhancing technologies applied cryptography, multimedia and IoT security, digital forensics investigations, and malware analysis. Dr. Elmesiry has also been actively contributing as a member of the COVID-19 Outbreak Expert Database of the UK Parliament. During this period, he has made significant contributions to the cybersecurity field by identifying and disclosing over 13 new Common Vulnerabilities and Exposures (CVEs) affecting widely used online services. These discoveries underscore his expertise in vulnerability assessment and threat mitigation in rapidly evolving digital environments. The body of his work encompasses 6 patents, 4 books,10 book chapters, and more than 45 research papers in international journals and conferences, including prestigious journals such as IEEE Access, Cluster Computing, Data Mining and Knowledge Discovery, Multimedia Tools and Applications, and Journal of Supercomputing. He has also published 2 books focused on machine learning-based stochastic techniques for collaborative privacy and evaluating data fusion methodologies for redundant positioning. He has successfully supervised over 30 postgraduate research and undergraduate project students and supervised Ph.D. students. He has worked on numerous commercialization projects and international projects in areas involving security, privacy, and machine learning, such as ICT FP7 SOCIETIES funded by The European Union 7th Framework Programme for Research and Technological Development and PRTLI HEA FutureComm funded by Higher Education Authority, Ireland and the European regional development programme, and has been working with the Swedish research cluster on the Internet of Things for the last four years, where he coordinated a research group working on a project related to securing IoT solutions for smart homes funded by The Swedish Knowledge Foundation Vinnova and KK-Stiftelsen. Additionally, he participated in various research activities in mobility, data mining, and privacy that have been funded by the Open FET FP7 project MODAP. He has experience as a Principal Investigator and was recently working on a Microsoft-funded project related to "Adaptive Security for IoT Applications" and a Google-funded project related to "Teaching IoT Security Science." He holds the position of associate editor of the International Journal of Cloud Applications and IEEE Access and acted as a guest editor in special issues in high-quality scientific journals such as Cognitive Neurodynamics and the Journal of Environmental Research and Public Health. He has served in different capacities, such as organizing committee member, TCP member, focal person, and/ or publication chair of several international conferences and workshops. Dr. Elmesiry also has several years of industrial experience in reverse engineering and malware analysis. He also has received six best paper awards at different international conferences in Denmark, USA, Portugal, Malaysia (2), and Chile.