Mr. Xiang Fang | Ransomware detection | Best Researcher Award

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Mr. Xiang Fang | Ransomware detection | Best Researcher Award

Phd student, The City College of New York, United States.

Xiang Fang is a dedicated and technically proficient researcher in electrical and computer engineering, currently pursuing his Ph.D. at The City College of New York. With a multifaceted background combining hardware, software, cybersecurity, and AI-powered applications, Xiang stands out for his innovative approaches to problem-solving, especially in areas like control systems, image processing, and ransomware detection. His contributions span multiple international presentations, academic projects, and scholarly publications, reflecting a deep passion for research and a commitment to academic excellence. 🌍🔬

Publication Profile

Google Scholar

🎓Education Background

Xiang earned his Ph.D. in Electrical Engineering from The City College of New York (2020–2025), maintaining an impressive GPA of 3.60. Complementing his technical expertise, he acquired an MBA from Academic Europe Open University in April 2025, equipping him with valuable leadership and management skills. His journey began with an M.Sc. in Electrical and Computer Engineering from Purdue University Northwest (2017–2019), followed by a B.Sc. in Electrical and Information Engineering from Shaanxi University of Technology, China (2013–2017). 🎓📘📈

💼Professional Experience

Xiang has actively contributed to academia through teaching assistantships and tutoring roles. At The City College of New York, he worked as a Teaching Assistant for Healthcare Cybersecurity Pathways (2023) and graded Communication Theory (2025). His earlier experience includes tutoring English to middle school students (2013–2014). In research, he has led and contributed to multiple technical projects—ranging from digital image enhancement and SLAM systems to cloud-based secure applications and real-time ransomware detection using anomaly-based methods. 💡🖥️🧪

🏅Awards and Honors

Xiang’s commitment to excellence is reflected in his achievements, including the Certificate of Completion in Children and Climate Change, and the CodePath Cybersecurity Course Certificate. His research has been widely recognized through poster presentations at prestigious forums such as AFRL-CUNY, The Grove School of Engineering Expo, and the Defense & Intelligence Research Forum. 🏆📜🎖️

🔍Research Focus

Xiang’s primary research interests lie in cybersecurity, autonomous systems, signal processing, and AI-powered detection systems. His standout contributions include anomaly-based and honeyfile-based detection mechanisms for crypto ransomware, SLAM systems, and data visualization methods. Leveraging tools like MATLAB, Python, Kalman filters, and machine learning models such as LSTM, Xiang effectively bridges theoretical concepts with practical implementations. 🔐🤖📊

🔚Conclusion

A forward-thinking and results-driven scholar, Xiang Fang exemplifies the blend of innovation, technical acumen, and academic rigor. His trajectory, from hands-on hardware projects to advanced research in digital security, positions him as a rising star in the field of electrical and computer engineering. As he continues his journey, Xiang remains committed to tackling emerging global challenges with smart, scalable, and secure solutions. 🚀📡🌐

📚Top Publications Notes

  1. Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker
    📅 Published: 2025 | 📘 Journal: MDPI, Mathematics | 📑 Cited by: 5 articles (as of 2025)

  2. Poster: Crypto Ransomware Detection Through a Honeyfile-Based Approach with R-Locker
    📅 Presented: Feb. 2025 | 📍 The Grove School of Engineering Expo, NY, USA

  3. Poster: Anomaly-Based Approach for Crypto Ransomware Detection
    📅 Presented: Nov. 2023 | 📍 AFRL-CUNY Technology and Workforce Development Forum

  4. Poster: Ransomware Detection Methodology
    📅 Presented: May 2022 | 📍 Defense & Intelligence Research Forum, NY, USA

  5. Thesis: Visualization of Mobile Robot Localization and Mapping
    📅 Published: April 2017 | 📍 Purdue University Northwest

  6. Thesis: Design of High-Precision Laser Engraving Platform Control System Based on STC12C5608AD
    📅 Published: June 2017 | 📍 Shaanxi University of Technology

 

Mr. Yifan Zhang | Cybersecurity | Best Researcher Award

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Mr. Yifan Zhang | Cybersecurity | Best Researcher Award

Postgraduate, College of Electronic Engineering, National University of Defense Technology, China

Zhang Yifan is a dynamic and accomplished Master’s student in Computer Science at the National University of Defense Technology (NUDT), China. With a rich blend of academic excellence, innovative research, national-level recognition, and artistic talent, Zhang has demonstrated outstanding leadership and scholarly achievements. He is currently engaged as a researcher at the College of Electronic Engineering, contributing significantly to national-level projects and fostering innovation in network protocol fuzzing and large language model applications.

Publication Profile

ORCID

Education Background 🎓

Zhang Yifan is pursuing a Master’s degree in Computer Science from NUDT. His academic journey has been marked by consistent top performance, including being the top-ranked candidate for graduate school admission in 2023. He has also participated in prestigious programs such as the “International Innovative Talents Training Program” and served as a Chinese Youth Representative in the Ministry of Defense International Student Technology Week.

Professional Experience 💼

Yifan has served in various impactful roles, including as a teacher and teaching assistant at Lizko International Education Investment Management Co., Ltd., where he earned accolades like “Teaching Leader” and “Most Popular Teacher.” Additionally, he was a dance instructor at Hangwu Dance School, where he led students to win 266 provincial and municipal awards. He also interned at a national-level central government agency and currently works as a researcher at a key laboratory in NUDT, where he has led multiple national innovation and entrepreneurship projects.

Awards and Honors 🏆

Zhang Yifan’s accolades include the 2024 “Challenge Cup” Academic Competition First Place & Grand Prize, multiple “FLTRP Cup” English contest grand prizes, and the 2020 Mathematical Contest in Modeling: International Meritorious Winner Prize. He has received the First Prize Scholarship and was honored as a “Merit Student” consistently from 2019–2024. He also won a Bronze Award in the 2022 International “Internet+” Innovation and Entrepreneurship Competition. His creativity and performance extend to the arts, winning first prizes in national and provincial piano and dance competitions.

Research Focus 🔬

Yifan’s research interests lie in computer science, particularly in cybersecurity, network protocol fuzzing, and the integration of large language models for state-handling methods. He has published internationally as a first author and led innovation projects recognized at national conferences. His 2025 journal article introduces a cutting-edge approach to protocol fuzzing using large language models.

Conclusion 🌟

Zhang Yifan is a multifaceted individual who excels in research, leadership, education, and the arts. With a proven track record in innovation, national representation, and academic brilliance, he is set to make a meaningful impact in the field of computer science and beyond.

📚 Publication Top Note

StatePre: A Large Language Model-Based State-Handling Method for Network Protocol Fuzzing
Published: May 2025
Journal: Electronics
 Cited by: Citations will appear on databases like Google Scholar or Scopus once indexed

Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

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Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

University of Tabuk, Saudi Arabia

Dr. Waleed Mohammad Hamad Almuseelem is a distinguished scholar and IT professional from Saudi Arabia, currently serving as an Associate Professor at the University of Tabuk. With a deep-rooted passion for information security, cloud computing, and cybersecurity, he seamlessly blends theoretical knowledge with practical applications. Fluent in Arabic, English, and Chinese, he is committed to advancing digital transformation and cybersecurity solutions. His entrepreneurial mindset and technical expertise contribute to both academia and industry, fostering innovation in IT and computer science. 🌍💻

Publication Profile

🎓 Academic Background

Dr. Almuseelem earned his Ph.D. in Computer Science and Technology with a specialization in Information Security from Wuhan University of Technology, China, in 2017, achieving an “Excellent” evaluation. His dissertation focused on enhancing data security and user privacy in cloud computing. Prior to this, he completed a Master’s in Computer Science and Technology from the same university in 2012, working on secure frameworks for Java smart cards. His academic journey began with a Bachelor’s in Computer Technical Engineering from Riyadh College of Technology in 2007. 📚🎓

💼 Professional Experience

With over 15 years of experience, Dr. Almuseelem has played significant roles in academia and industry. Since 2018, he has been an Associate Professor at the University of Tabuk, teaching undergraduate and master’s courses in IT, Computer Science, and Information Security. He also holds leadership roles, including Chairman of the Supervisory Committee for Foreign Languages and Member of the Quality and Academic Accreditation Committee. Previously, he worked with STC as a systems administrator and served in the Royal Saudi Air Defense Forces as a network administrator and technical support specialist. His expertise spans cloud security, Linux administration, and IT governance. 🏢💡

🏆 Awards and Honors

Dr. Almuseelem has received notable recognitions, including the Best Graduation Dissertation Award in Information Security from Wuhan University of Technology in 2012. His contributions to research and academia are acknowledged in numerous international conferences and workshops, where he shares insights on cybersecurity and open-source technologies. He is an invited speaker at global IT events and collaborates with leading institutions in cybersecurity research. 🏅🌟

🔬 Research Focus

Dr. Almuseelem’s research is centered on cloud security, intrusion detection, zero-trust architectures, and edge computing. He has contributed innovative solutions to data privacy, lightweight authentication, and IoT security. His work integrates AI and cybersecurity to tackle modern challenges in cloud and edge computing environments. Through national and international projects, he aims to develop robust security frameworks for healthcare 4.0, industrial IoT, and enterprise networks. His research is widely cited, influencing global cybersecurity standards. 🔍🛡️

🔗 Top Publications

Intrusion Detection Systems in Cloud Environment – Mastering Intrusion Detection for Cybersecurity, IntechOpen, 2025.

A Novel Fuzzing for RPL Network Vulnerability Analysis and Vision Transformer-based Attack Detection for IIoT – Journal of Harbin Engineering University, 2024.

Continuous and Mutual Lightweight Authentication for Zero-Trust Architecture-Based Security Framework in Cloud-Edge Computing-Based Healthcare 4.0 – Journal of Theoretical and Applied Information Technology, 2023.

Joint Devices Energy and Data Security for Task Offloading in Multi-Tier Edge-Cloud Computing Systems – IEEE Access, 2023.

Data Privacy and Security Model in Cloud Environment – International Conference on Computing and Information Technology (ICCIT), 2023.

User Privacy and Security in Cloud Computing – International Journal of Security and Its Applications, 2016.

Evaluation of Data Security and Privacy Faults in Cloud Computing – EDCAV Conference, 2016.

Data Security and Privacy in Cloud Computing – Advanced Materials Research, 2014.

📢 Conclusion

Dr. Waleed Almuseelem is a visionary IT educator, researcher, and cybersecurity expert dedicated to shaping the future of digital security. His contributions to cloud security, intrusion detection, and zero-trust architectures have been recognized globally. Through academic leadership, research, and industry collaborations, he continues to advance cybersecurity innovations that benefit academia, industry, and national security. 🚀

Gerardo Iovane | Cybersecurity| Cybersecurity Achievement Award

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Prof. Dr. Gerardo Iovane | Cybersecurity| Cybersecurity Achievement Award

Professor, University of Salerno, Italy

Professor IASD Gerardo Iovane is a distinguished academic and researcher with over 25 years of international experience. A faculty member at the Department of Excellence in Computer Science at the University of Salerno, he is renowned for his work in Financial Computing, High-Frequency Trading, and Mathematical Analysis. He is a pioneer in Blockchain Technologies, Industry 4.0/5.0, AI, IoT, and Neuroscience. Prof. Iovane is the founder of the Atmosphere Arc blockchain ecosystem and is globally recognized as the originator of the term “Decentralized Economy.” His contributions have earned him numerous accolades, including the Washington Elite Award (2020) and the Innovation Award at Terni Digital Week (2024). 🌍💡

Publication Profile

ORCID

Education 🎓

Prof. Iovane graduated with honors from the Nunziatella Military School and earned a summa cum laude degree in Nuclear and Subnuclear Physics. He pursued advanced research at CERN in Geneva and holds three doctorates in Physics, Mathematics, and Engineering and Innovation Economics. He is also an alumnus of the prestigious IASD (Institute for Advanced Defense Studies). 🧑‍🎓✨

Experience 🏫

With decades of experience, Prof. Iovane has led groundbreaking research projects with global partners, including China, Russia, the USA, and various EU and non-EU countries. As the scientific director of the Technology Transfer Center ART (Italy), he has collaborated with national defense organizations such as NATO and CeMiSS. His career spans impactful roles in academia, strategic studies, and blockchain innovation. 🛠️🌐

Research Interests 🔍

Prof. Iovane’s research spans Blockchain Technologies, Quantum Finance, Decentralized Economies, Industry 4.0/5.0, Artificial Intelligence, IoT, and Neuroscience. His pioneering MRQF Theory and MuReQua Chain are driving the future of financial and quantum technologies. 🧠💻

Awards 🏆

Prof. Iovane’s achievements include the Best Application in Europe Award (2001), Knight of the Italian Republic (2009), Best Scientist Award (2014, San Marino), Washington Elite Award (2020, USA), and Innovation Award (2024, Italy). Forbes USA highlighted his blockchain ecosystem as a global innovation in 2020. 🌟📜

Publications 📚

“Multiscale Relative Quantum Finance (MRQF) Theory” – Published in 2014, Traders Magazine Special Issue.
[Cited by over 50 articles].

“MuReQua Chain: Advancing Quantum Blockchain Technologies” – Published in 2023, Journal of Blockchain Research.
[Cited by 30+ articles].

“Decentralized Economies and Global Impacts” – Published in 2020, International Journal of Economics.
[Cited by 25 articles].

“Industry 5.0 and IoT Integration for Security Systems” – Published in 2021, IEEE Transactions on Industrial Informatics.
[Cited by 40+ articles].

 

Alberto Moccardi | Cybersecurity | Best Researcher Award

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Dr. Alberto Moccardi | Cybersecurity | Best Researcher Award

Phd, Università degli studi di Napolli Federico II, Italy

🌟 Alberto Moccardi is a dedicated researcher and Ph.D. candidate at the University of Naples Federico II in Naples, Italy, under the Department of Electrical Engineering and Information Technologies. His expertise spans Artificial Intelligence (AI) and Internet of Things (IoT) applications, particularly in predictive maintenance and smart road management systems. Alberto actively contributes to advancing human-centered AI methodologies to address pressing technological and societal challenges.

Publication Profile

ORCID

Education

🎓 Alberto Moccardi is pursuing his Ph.D. at the University of Naples Federico II. His academic journey is deeply rooted in electrical engineering and information technologies, emphasizing cutting-edge AI solutions in IoT ecosystems.

Experience

💼 With his role at the University of Naples Federico II, Alberto has developed a robust background in research and application-driven innovation. He has contributed to impactful projects in predictive maintenance and AI-driven road infrastructure management.

Research Interests

🔍 Alberto’s research interests focus on AI-driven methodologies, IoT applications, and human-centered systems. He is passionate about designing robust frameworks for adversarial attack detection in IoT systems and creating equitable solutions for smart city management.

Awards

🏆 Alberto’s innovative work has gained recognition through academic publications and conference presentations, reflecting his dedication to leveraging technology for societal benefit.

Publications

Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation
📜 Published: 2024-11-20 | Journal: Information
🔗 DOI: 10.3390/info15110740

AI Driven Potholes Detection for Equitable Repair Prioritization: Human-centred AI-driven methodology as support of road management system
📜 Published: 2023-12-14 | Conference: Proceedings of the 2023 Conference on Human-Centered Artificial Intelligence: Education and Practice
🔗 DOI: 10.1145/3633083.3633224