Junbeom Hur | Computer Science | Best Researcher Award

Published on by Civil Engineering Awards

Prof. Junbeom Hur | Computer Science | Best Researcher Award

Professor | Korea University | South Korea

Prof. Junbeom Hur’s research career is defined by impactful contributions to the fields of computer and cyber security, applied cryptography, and network defense systems. His extensive experience as a project leader and researcher encompasses advanced investigations into identity and attribute-based encryption, secure multi-party computation, and privacy-enhancing technologies such as differential privacy and anonymity protocols. He has directed several major research initiatives, including the Brain Korea 21 (BK21) FOUR project in computer science and engineering, which focuses on developing next-generation security frameworks for cloud computing, AI-driven systems, and data protection infrastructures. His work on virtualization security and side-channel attack defenses has strengthened cloud computing environments against sophisticated vulnerabilities, while his exploration of cloud data access control has contributed to secure, scalable information management solutions. In network security, Dr. Hur’s projects have tackled challenges in group key management, secure multicast, RDMA-based attack mitigation, and TLS vulnerability detection, ensuring resilient and trustworthy network communication. His more recent research ventures expand into AI and blockchain security, particularly focusing on protecting machine-learning-as-a-service platforms, enhancing neural network resilience against adversarial threats, and improving anonymity and deanonymization mechanisms in blockchain ecosystems and dark web analysis. Through collaborative and interdisciplinary projects, Dr. Hur continues to advance the understanding of how cryptographic and computational techniques can safeguard emerging technologies. His sustained leadership roles, including as Head of the Center for Information System Security and Vice Dean at Korea University’s College of Informatics, underscore his ability to integrate academic insight with practical innovation, fostering secure digital transformation in academia and industry alike. His future research trajectory is poised to further strengthen global cybersecurity frame

Publications:

Yoon, H., Yu, M., Hahn, C., Koo, D., & Hur, J. (2024). Exploiting hidden information leakages in backward privacy for dynamic searchable symmetric encryption. Applied Sciences, 14(6), 2287.

Yoon, H., Moon, S., Kim, Y., Hahn, C., Lee, W., & Hur, J. (2020). SPEKS: Forward private SGX-based public key encryption with keyword search. Applied Sciences, 10(21), 7842.

Koo, D., Shin, Y., Yun, J., & Hur, J. (2018). Improving security and reliability in Merkle tree-based online data authentication with leakage resilience. Applied Sciences, 8(12), 2532.

Hur, J. (2017). Privacy-preserving aggregation and authentication of multi-source smart meters in a smart grid system. Applied Sciences, 7(10), 1007.

Ahmed Y. Hassebo | Smart Cities IoT Applications | Best Researcher Award

Published on by Civil Engineering Awards

Dr. Ahmed Y. Hassebo | Smart Cities IoT Applications | Best Researcher Award

Doctoral Lecturer | NYC College of Technology | United States

Dr. Ahmed Y. Hassebo, Ph.D., P.E., is an accomplished electrical engineering educator and researcher with over fourteen years of teaching experience across leading U.S. institutions, including the City University of New York (CUNY), Purdue University Northwest (PNW), and Wentworth Institute of Technology (WIT). Currently serving as a Doctoral Lecturer at NYC College of Technology–CUNY, Dr. Hassebo has made significant contributions in the domains of telecommunications, signal processing, smart cities, and Internet of Things (IoT)-based systems. His academic foundation is rooted in a Ph.D. and M.Phil. in Electrical Engineering from the City College of New York, supported by a strong research portfolio emphasizing the integration of 4G/5G communication infrastructures with mission-critical IoT and smart grid applications. He has authored a book, multiple book chapters, and several peer-reviewed journal and conference papers, earning multiple Best Paper and Best Presentation Awards from IEEE and ASEE conferences. His published works in Urban Science and IoT journals underscore his global perspective on smart city transformation and sustainable urban connectivity. Beyond research, Dr. Hassebo has mentored undergraduate and high school students in projects funded by NSF, NASA, and CUNY initiatives, fostering interdisciplinary learning in AI, robotics, and embedded systems. His active role as an IEEE reviewer, ASEE session chair, and committee member at CityTech demonstrates his leadership in both academic governance and scholarly service. Holding a Professional Engineer (PE) license in Electrical and Computer Engineering, he continues to pursue research excellence through grant proposals such as NSF Engineering Research Initiation (ERI) and CUNY GRTI initiatives. With over 8 years of research experience and a growing academic impact—reflected in multiple citations and collaborations—Dr. Hassebo exemplifies a commitment to advancing smart technologies that enhance urban sustainability, education, and global digital transformation.

Profile: Google Scholar
Publications:

Hassebo, A., Mohamed, A. A., Dorsinville, R., & Ali, M. A. (2018). 5G-based converged electric power grid and ICT infrastructure. 2018 IEEE 5G World Forum (5GWF), 33–37. 
(Cited by: 27)

Hassebo, A., Obaidat, M., & Ali, M. A. (2018). Commercial 4G LTE cellular networks for supporting emerging IoT applications. 2018 Advances in Science and Engineering Technology International Conferences (ASET). 
(Cited by: 24)

Hassebo, A. Y. (2018). Commercial 4G LTE cellular networks for supporting emerging mission-critical IoT applications [Master’s thesis, The City College of New York]. CUNY Academic Works.
(Cited by: 9)

Tealab, M., Hassebo, A., Dabour, A., & AbdelAziz, M. (2020). Smart cities digital transformation and 5G–ICT architecture. 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). 
(Cited by: 13)

Hassebo, A. (2022). The road to 6G: Vision, drivers, trends, and challenges. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). 
(Cited by: 12)

Hassebo, A., & Tealab, M. (2023). Global models of smart cities and potential IoT applications: A review. IoT, 4(3), 366–411. 
(Cited by: 85)