Ammar Odeh | CyberSecurity | Best Researcher Award

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Assoc. Prof. Dr. Ammar Odeh | CyberSecurity | Best Researcher Award

Director of the Training and Consultation Center, Princess Sumaya University for Technology, Jordan

Dr. Ammar M. Odeh is an Associate Professor of Cybersecurity at Princess Sumaya University for Technology (PSUT), Jordan, with extensive experience in teaching, research, and technology development. Specializing in Cybersecurity, AI, and Blockchain, he has contributed significantly to the academic and industrial landscapes. Dr. Odeh earned his Ph.D. in Computer Science and Engineering from the University of Bridgeport, USA, in 2015, receiving the Phi Kappa Phi Award for academic excellence. He is passionate about advancing technological innovation and has been instrumental in designing student training programs, particularly in Cybersecurity. With a career spanning multiple countries, he has worked at universities in Jordan, Oman, Saudi Arabia, and the USA. His research spans Unicode Steganography, Wireless Networks, and Data Security. Dr. Odeh has also collaborated with industry giants such as Huawei and Orange, contributing to the development of advanced cybersecurity systems.

Profile

Google Scholar

Strengths for the Award

  1. Academic Excellence:
    • Dr. Odeh holds a Ph.D. in Computer Science and Engineering (specializing in Cybersecurity), awarded from the University of Bridgeport, USA, in 2015.
    • He has been recognized with multiple prestigious awards, such as the Phi Kappa Phi Award (2015) for academic excellence.
  2. Research Contributions:
    • Dr. Odeh has a strong research portfolio, with significant contributions to topics like steganography, machine learning, blockchain, AI, and cybersecurity. His research work, published in reputable journals and conferences, includes over 15 cited papers and is highly interdisciplinary.
    • Notable contributions include studies on phishing detection, electronic health record security, blockchain in healthcare, and malware detection.
    • He has been cited by multiple research papers and has contributed to advancing the application of technology in the cybersecurity, healthcare, and education sectors.
  3. Teaching and Training:
    • As an Associate Professor, Dr. Odeh’s teaching interests span Programming Languages, Data Communications, Operating Systems, and Cybersecurity, indicating a broad and deep technical skill set.
    • He has also contributed significantly to curriculum design and student training, particularly in Cybersecurity and AI. His role in training and liaising with industry giants like Orange and Huawei speaks to his practical influence in the tech space.
  4. Industry Engagement:
    • His active collaboration with industry players (such as Orange and Huawei) and his leadership of the training committee underscore his ability to bridge academic and practical applications, facilitating a strong link between the university and the tech industry.
    • His expertise in blockchain and AI in real-world contexts, such as healthcare, further illustrates his ability to contribute to and shape industry innovations.
  5. Leadership in Academia:
    • Dr. Odeh has led and participated in multiple academic committees at Princess Sumaya University for Technology (PSUT), including roles in graduation project committees and quality assurance committees. This shows his involvement in shaping the academic landscape and improving institutional practices.
  6. Impact on Research Community:
    • His work in human-computer interaction, steganography, and network security has not only resulted in technical advancements but has also been widely cited, indicating the impact of his research in the academic community.

Areas for Improvement

  1. Broader Collaborative Networks:
    • Although Dr. Odeh has demonstrated significant industry engagement, a broader range of international collaborations could further enhance his research profile. Engaging with top-tier research institutions globally and fostering collaborative international research projects might help him gain more visibility and influence in the global tech community.
  2. Increased Focus on Interdisciplinary Research:
    • While his research covers important aspects of cybersecurity, interdisciplinary approaches—incorporating more fields like social sciences or ethics in AI and cybersecurity—could further elevate his work. This would help address emerging global challenges like the ethical implications of AI, privacy concerns, and digital rights in an increasingly connected world.
  3. Grant and Funding Acquisition:
    • Dr. Odeh’s research portfolio is impressive, but a focus on obtaining large-scale research funding for interdisciplinary projects, especially in AI and cybersecurity, could amplify the impact of his work and provide more opportunities for cutting-edge projects with higher visibility.
  4. Broader Publication Outreach:
    • While his research is well-published, expanding the scope to higher-impact journals or collaborating with industry journals in areas like blockchain, IoT, and advanced AI security could increase the reach and recognition of his work in broader academic and professional circles.

Education 

Dr. Ammar M. Odeh’s academic journey began with a Bachelor’s degree in Computer Science from Hashemite University, Jordan (1999-2002). He then pursued a Master of Computer Science at the University of Jordan (2004-2006), where he honed his expertise in the field. In 2015, he completed his Ph.D. in Computer Science and Engineering at the University of Bridgeport in Connecticut, USA, with a focus on Cybersecurity. His doctoral research contributed to advancements in data security, wireless network protocols, and AI applications in cybersecurity. During his time at the University of Bridgeport, Dr. Odeh was awarded the prestigious Phi Kappa Phi Award for outstanding academic achievement. This academic foundation has enabled him to establish himself as a leading researcher and educator in Computer Science, particularly in the areas of AI, Blockchain, and Cybersecurity.

Experience 

Dr. Ammar M. Odeh has a diverse teaching and research background, with over 15 years of experience across multiple institutions. He currently serves as an Associate Professor in the Department of Computer Science at Princess Sumaya University for Technology (PSUT), Jordan, where he has been since 2019. Prior to his current role, he was an Assistant Professor at PSUT and University of AlMaarefa, Saudi Arabia (2015-2019), where he taught courses on Computer Security, Data Communications, and Programming Languages. Dr. Odeh’s early career included teaching roles at Sur College of Applied Science in Oman (2009-2011) and Philadelphia University in Jordan (2006-2009). He also worked as a Graduate Assistant/Research Assistant at the University of Bridgeport, USA, where he supported cybersecurity research and developed tools for data analysis and project evaluation. His wide-ranging experience in academia has made him a respected leader in his field.

Awards and Honors 

Dr. Ammar M. Odeh has received multiple awards and honors throughout his academic and professional career. Notably, he was awarded the prestigious Phi Kappa Phi Award in 2015 for outstanding academic performance at the University of Bridgeport. Dr. Odeh also received a Full Graduate Scholarship from the Computer Science Department at the University of Bridgeport (2012-2015). His work has been recognized with various other accolades, including the UPE Award in 2014. He is an active member of several professional societies, such as the IEEE Communications Society, IEEE Computer Society, ACM, and UPE. These memberships not only validate his expertise in Computer Science but also keep him connected to the latest developments in technology. Dr. Odeh’s ability to bridge academia and industry is reflected in his collaborations with major tech companies like Huawei and Orange, making him a leader in Cybersecurity and Blockchain research.

Research Focus 

Dr. Ammar M. Odeh’s research interests span a broad range of topics in Cybersecurity, AI, and Blockchain Technology. His primary focus includes Unicode Steganography, where he develops techniques for secure communication through hidden text in digital formats. He also explores Wireless Network Security, aiming to enhance data translation security across networks. Additionally, Dr. Odeh is dedicated to Human-Computer Interaction, improving the user experience through innovative security measures. He has contributed to research on the security and privacy of electronic health records, leveraging his expertise in AI and Machine Learning for more effective solutions in healthcare. Dr. Odeh has published several papers on the detection of phishing websites and malware, and his work on blockchain applications in the healthcare sector has garnered significant attention. His interdisciplinary approach to Cybersecurity and AI positions him as a prominent researcher in these rapidly evolving fields.

Publications 

  • Security and privacy of electronic health records: Concerns and challenges 🏥🔒
  • Machine learning techniques for detection of website phishing: A review for promises and challenges 🖥️🔍
  • Analysis of blockchain in the healthcare sector: Application and issues ⛓️💡
  • Performance evaluation of AODV and DSR routing protocols in MANET networks 🌐📶
  • Steganography by multipoint Arabic letters 🅰️🔤
  • PDF malware detection based on optimizable decision trees 📄⚙️
  • Detection in adverse weather conditions for autonomous vehicles via deep learning 🚗🌧️
  • Efficient detection of phishing websites using multilayer perceptron 🌐🛡️
  • Analysis of ping of death DoS and DDoS attacks 💻💥
  • Steganography in Arabic text using Kashida variation algorithm (KVA) 🇸🇦🔐
  • Quantum key distribution by using public key algorithm (RSA) 🔑📡
  • PHIBOOST – A novel phishing detection model using Adaptive boosting approach 📧⚡
  • Steganography in text by using MS Word symbols 📝🔑
  • A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach 🌐🛡️
  • Security and privacy of electronic health records: Concerns and challenges 🏥🔐
  • Novel steganography over HTML code 🌍🔒
  • Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection 🤖📡
  • Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs 📡🌱
  • Impact of COVID-19 pandemic on education: Moving towards e-learning paradigm 💻📚

Conclusion

Dr. Ammar M. Odeh stands out as a leading researcher in his fields of specialization, particularly Cybersecurity, AI, and Blockchain. His impressive academic record, substantial research contributions, leadership in teaching and training, and active industry engagement make him a highly deserving candidate for the Best Researcher Award.While there are areas for growth in expanding his collaborative network and pursuing interdisciplinary research, his achievements to date reflect a dedication to advancing technology and education. Dr. Odeh’s work not only contributes to the academic community but also positively impacts industries such as healthcare, cybersecurity, and education.Given his strong credentials, extensive research output, and leadership in both academia and industry, Dr. Ammar Odeh is highly suitable for the Researcher of the Year Award.

Arturo Benayas Ayuso | Computer Science | Best Researcher Award

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Prof. Arturo Benayas Ayuso | Computer Science | Best Researcher Award

PhD Candidate, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso is a highly skilled Naval Architect with a distinguished career in naval shipbuilding and digital transformation. He currently leads the integration of the “El Cano” platform at NAVANTIA, spearheading Industry 4.0 innovations in ship design, construction, and management. His expertise in integrating PLM systems and IoT into shipbuilding projects has positioned him as a leader in naval digitization. Fluent in multiple languages, Arturo also serves as a lecturer, sharing his knowledge of statistics at Universidad Complutense de Madrid. 🚢💡

Publication Profile

ORCID

Education

Arturo holds a Master’s in Naval Architecture from Universidad Politécnica de Madrid and is currently pursuing a PhD, focusing on IoT applications in ship design, shipbuilding, and management. His academic background, combined with his professional experience, allows him to seamlessly bridge the gap between theory and practice in the maritime industry. 🎓📚

Experience

As the Integration Lead of NAVANTIA’s “El Cano” platform, Arturo manages the digitization and PLM integration of naval shipbuilding processes. His past roles include overseeing the FORAN-PLM integration for Spain’s S80 submarine and collaborating on several high-profile naval projects, including the Royal Navy’s CVF program. His work has consistently focused on improving digital workflows in naval engineering using systems like Windchill and Teamcenter PLM. 🛠️⚙️

Research Focus

Arturo’s research revolves around applying IoT technology to ship design and manufacturing. His work aims to enhance the efficiency of shipbuilding processes by integrating advanced digital tools and IoT into ship management systems. This focus on Industry 4.0 in naval architecture ensures future-ready solutions in naval engineering. 🔍🌐

Awards and Honors

Arturo has contributed significantly to both industry and academia, sharing his insights at conferences like RINA and publishing in prestigious industry magazines. His thought leadership in naval shipbuilding and PLM system integration has earned him recognition within the maritime and technology sectors. 🏅📜

Publications

Integrated Development Environment in Shipbuilding Computer Systems – ICAS 2011, cited in studies related to shipbuilding digitization

Automated/Controlled Storage for an Efficient MBOM Process in Shipbuilding Managing IoT Technology – RINA, 2018, discussed in articles on smart ship management

Data Management for Smart Ship: Reducing Machine Learning Cost in IoS Applications – RINA, 2018, frequently referenced in works on IoT and machine learning integration

Haiyan Kang | Network security | Best Researcher Award

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Prof Dr Haiyan Kang | Network security | Best Researcher Award 

Prof Dr Haiyan Kang  , Beijing Information Science and Technology University , China

Kang Haiyan, a prominent Chinese researcher, was born in China and currently serves as a professor in the Department of Information Security at Beijing Information Science and Technology University. A senior member of the China Computer Federation and the ACM, he has been recognized as an outstanding talent in Beijing. With a Ph.D. in computer application technology from the Beijing Institute of Technology (2005), he is also an executive member of the Privacy Protection Committee of the China Confidentiality Association. Kang’s contributions to education have earned him multiple teaching awards, and he is noted for his mentorship of graduate students. His extensive research has garnered numerous provincial and ministerial awards, alongside 20 patents. Kang has authored over 110 academic papers and six monographs, making significant strides in network security, blockchain, and privacy protection.

Publication Profile

Scopus

Strengths for the Award

Kang Haiyan’s impressive academic and professional achievements make him a strong candidate for the Best Researcher Award. With over 110 published academic papers and six monographs, his prolific output demonstrates a significant commitment to advancing knowledge in the fields of network security, blockchain technology, and privacy protection. His research has garnered six provincial and ministerial level awards, reflecting his impact within the academic community. Kang’s leadership as a professor and his role as chief of a national first-class major in information security further emphasize his dedication to education and mentorship. Additionally, his executive position in the Privacy Protection Committee of the China Confidentiality Association showcases his influence in shaping policies and practices in the domain of privacy protection.

Areas for Improvement

While Kang’s research output is commendable, there is room for broader international collaboration, which could enhance the global relevance of his work. Increasing engagement in interdisciplinary research could also provide innovative perspectives on complex security issues. Furthermore, focusing on enhancing public outreach and education regarding privacy issues could amplify the societal impact of his research.

Education 

Kang Haiyan obtained his Ph.D. in Computer Application Technology from the Beijing Institute of Technology in 2005, where he developed a strong foundation in information security and computer science. His doctoral research focused on advanced computing technologies, setting the stage for his subsequent contributions to the field. Throughout his academic journey, Kang has continually pursued knowledge in various aspects of information security, including network security and privacy protection. He has engaged in various professional development programs and has been recognized for his outstanding academic performance. His educational background equips him with both theoretical knowledge and practical skills, enabling him to tackle complex problems in his research. This strong educational foundation, combined with his continuous pursuit of knowledge, has significantly shaped his career as an educator and researcher, leading to his recognition as a leading figure in the domain of information security.

Experience 

Kang Haiyan has amassed extensive experience in academia and research over his career. Currently a professor at Beijing Information Science and Technology University, he leads the Department of Information Security, overseeing the national first-class major in information security. As an editorial board member of the Journal of Information Security Research and an expert reviewer for the National Key Research and Development Program, he plays a crucial role in shaping research direction in the field. His involvement with the China Computer Federation and the ACM highlights his commitment to advancing computer science. Kang has also contributed significantly to teaching, having received multiple awards for his instructional excellence, including national and local teaching achievement prizes. His mentorship has positively impacted many graduate students, further extending his influence in academia. With a solid background in research and teaching, he has become a respected leader in the information security landscape.

Research Focus 

Kang Haiyan’s research focuses on critical areas within information security, including network security, blockchain technology, and privacy protection. His work in network security investigates innovative methodologies for safeguarding data and mitigating cyber threats. Kang’s exploration of blockchain technologies aims to enhance the security and integrity of digital transactions. A significant aspect of his research is the development of privacy-preserving techniques, particularly through differential privacy and federated learning approaches, which have gained increasing importance in today’s data-driven world. His contributions have led to the publication of over 110 academic papers and numerous patents, reflecting his commitment to advancing knowledge in these fields. Additionally, his work addresses real-world challenges, ensuring that his research has practical applications. As he continues to explore emerging trends and technologies, Kang remains dedicated to fostering a secure and privacy-conscious digital environment.

Publications Top Notes

  1. Kang Haiyan, Wang Jiakang. Swarm Mutual Learning 🐝
  2. Kang Haiyan, Wang Xiaoshi. Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy 📊
  3. Kang Haiyan, Ji Shanshan. Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network 📡
  4. Xiaoying Qiu, Haiyan Kang, et al. A Privacy-Preserving and Intelligent Authentication Scheme for Next Generation-CPS 🔒
  5. Wu Jing, Haiyan Kang. An effective ISDPR rumor propagation model on complex networks 📈
  6. Kang Haiyan, Ji Yuanrui. Research on Time-Serial Location Data Publication Based on Local Differential Privacy 🗺️
  7. Kang Haiyan, Long Molan. Research on network attack analysis method based on attack graph of absorbing Markov chain 📉
  8. Kang Haiyan, Yange Yujie. An Enhanced Detection Method of PCB Defect Based on D-DenseNet 🖥️
  9. Yang Yujie, Kang Haiyan. An Enhanced Detection Method of PCB Defect Based on Improved YOLOv7 🔍
  10. Kang, H., Li, Y., Zhang, S. An effective differential privacy protection method of location data based on perturbation loss constraint 🛡️
  11. Kang Haiyan, Deng Jie. A cross encryption scheme for data security storage in cloud computing environment ☁️
  12. Kang Haiyan, Feng Yaping, et al. Research on personalised privacy-preserving model of multi-sensitive attributes 🛡️
  13. Kang Haiyan, Ji Yuanrui, Zhang Shuxuan. Enhanced Privacy Preserving for Social Networks Relational Data Based on Personalized Differential Privacy 🔐

Conclusion

Kang Haiyan’s contributions to information security and his dedication to teaching and mentorship position him as a leading figure in his field. His extensive publication record, coupled with numerous accolades, demonstrates his commitment to advancing research and education. By addressing potential areas for improvement, he could further enhance his impact on both the academic community and society at large, making him a deserving candidate for the Best Researcher Award.