Didi Rosiyadi| Cybersecurity| Best Researcher Award

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Prof. Didi Rosiyadi| Cybersecurity| Best Researcher Award 

Research Professor at Badan Riset dan Inovasi Nasional (BRIN), Indonesia.

Prof. Dr. Didi Rosiyadi is a distinguished Research Professor at the National Research and Innovation Agency (BRIN), Indonesia, specializing in artificial intelligence and cybersecurity. He earned his Ph.D. from NTUST, Taiwan, and has held leadership roles in prestigious research institutions. An esteemed educator and researcher, he has guided numerous postgraduate students and contributed significantly to computer science. Fluent in multiple languages, he actively collaborates globally and has received numerous grants for international research initiatives. Prof. Didi is also a prolific academic, serving as an editor and reviewer for various journals.

Profile

Scholar

Scopus

Education 🎓

Ph.D.: Computer Science and Information Engineering, NTUST, Taiwan (2008–2013). Master’s: Computer Science, University of Gadjah Mada, Indonesia (2001–2003). Bachelor’s: Computer Science, STMIK Bandung, Indonesia (1994–1999).

Experience 🏅

Research Professor: BRIN, 2023–Present. Lecturer: Various Indonesian universities (1999–Present). Leadership: Acting Director/Head, BRIN and LIPI (2016–2022). Editorial Roles: Chief Editor, Informatics and INKOM Journals.

Awards and Honors 🏆

Grants: BRIN-SIAT (China), BRIN-NTUST (Taiwan), LIPI Initiatives. Workshops: Asean IVO (Brunei), DAAD Summer School (Indonesia), CERN (Switzerland). Postdoctoral Programs: NTUST, Taiwan (2015, 2018). Global Collaborations: Mobility programs in Croatia, Thailand, and Geneva.

Research Focus 🔍

Domains: Artificial Intelligence, Cybersecurity, Data Security, and Informatics. Specializations: Measurement & indicators in technology and innovation. Global Research: Collaborations with institutions in Taiwan, Thailand, and Switzerland.

Conclusion

Prof. Dr. Didi Rosiyadi’s exemplary career, marked by leadership, global collaboration, and research excellence, positions him as a compelling nominee for the Best Researcher Award. By addressing minor gaps in publication impact and measurable leadership outcomes, he can further solidify his status as a top-tier candidate for this prestigious recognition.

Publication

  1. “A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling”
    • Year: 2025
    • Authors: Farfoura, M.E., Mashal, I., Alkhatib, A., Batyha, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “Privacy-preserving reservation model for public facilities based on public Blockchain”
    • Year: 2024
    • Authors: Basuki, A.I., Rosiyadi, D., Susanto, H., Setiawan, I., Salim, T.I.
    • Citations: 0

 

  1. “A Low Complexity ML-Based Methods for Malware Classification”
    • Year: 2024
    • Authors: Farfoura, M.E., Alkhatib, A., Alsekait, D.M., Rosiyadi, D., AbdElminaam, D.S.
    • Citations: 0

 

  1. “Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service”
    • Year: 2023
    • Authors: Rosiyadi, D., Basuki, A.I., Ramdhani, T.I., Susanto, H., Siregar, Y.H.
    • Citations: 3

 

  1. “Securing the Privacy of Transactions Using Blockchain: Swap Battery Framework for Massive Subsidy Electric Motorcycle in Jakarta”
    • Year: 2024
    • Authors: Santoso, T.M., Nidya Neyman, S., Rosiyadi, D., Sahreza, Y., Khunaifi, A.
    • Citations: 0

 

  1. “Network Flow-Based Dataset Generator Based on OpenFlow SDN”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Haris, A.I., Taufik Yuniantoro, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking”
    • Year: 2023
    • Authors: Zhao, K., Niyogisubizo, J., Xiao, L., Rosiyadi, D., Wei, Y.
    • Citations: 1

 

  1. “BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Ramdhani, T.I., Susanto, H., Salim, T.I.
    • Citations: 0

 

  1. “Accelerating Encrypted Watermarking using Wavelet Transform and CKKS Homomorphic Encryption”
    • Year: 2022
    • Authors: Basuki, A., Setiawan, I., Rosiyadi, D., Ramdhani, T.I., Susanto, H.
    • Citations: 0

 

  1. “Improving Efficiency on BFV-based Encrypted Watermarking using Hadamard Product Decomposition”
    • Year: 2022
    • Authors: Basuki, A.I., Setiawan, I., Rosiyadi, D.
    • Citations: 2

Xian Guo | Cryptography | Best Researcher Award

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Prof. Xian Guo | Cryptography | Best Researcher Award

Professor at Lanzhou University of Technology, China

Guo Xian (郭显) is an Associate Professor at Lanzhou University of Technology, China. Guo specializes in computer science and control theory. With a career spanning over two decades, he has contributed significantly to mobile ad hoc networks, security protocols, and intelligent systems. Guo has published numerous papers in renowned journals and participated in multiple international conferences, establishing himself as a key figure in his field. He is also an active member of the Association for Computing Machinery (ACM) and the China Computer Federation (CCF).

Profile

Scopus

Education 🎓

Guo Xian holds a Ph.D. in Control Theory and Control Engineering from Lanzhou University of Technology (2011), where he researched secure routing in mobile ad hoc networks. He earned his Master’s in Computer Science from the same university (2009), focusing on secure routing protocols for mobile networks. Guo’s academic journey began at Northwest Normal University, where he received his Bachelor’s in Mathematics (1997).

Experience 🧑‍🏫

Since 2013, Guo Xian has been an Associate Professor at Lanzhou University of Technology, where he teaches and conducts research in computer science. Prior to this, he worked at Lanzhou University of Arts and Science (formerly Gansu Union University) for over 15 years, developing expertise in secure routing protocols and mobile network security. His academic career has also involved supervising graduate students and contributing to research projects in security mechanisms and network design.

Awards and Honors 🏆

Guo Xian is a member of the Association for Computing Machinery (ACM) and the China Computer Federation (CCF). He has been recognized for his contributions to computer science and secure network research. Notably, his work has been published in leading journals, and he has received several accolades for his research on secure routing protocols. His expertise continues to be recognized both domestically and internationally.

Research Focus 🔍

Guo Xian’s research interests lie in mobile ad hoc networks (MANETs), security protocols, and intelligent systems. His work focuses on developing secure routing techniques for mobile networks, content-based systems, and privacy-aware forwarding mechanisms. Guo has also explored the integration of blockchain with software-defined networking, contributing significantly to the field’s security and privacy. His ongoing research continues to shape future advancements in these areas.

Conclusion 📍

Dr. Guo Xian is a highly accomplished researcher with significant contributions to network security, privacy-preserving techniques, and secure routing protocols. His deep expertise and consistent publication record make him a strong contender for the Best Researcher Award. By further expanding his interdisciplinary reach and fostering international collaborations, Dr. Xian could enhance his research’s global impact and recognition.

Publications 📚

  • “Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials”
    • Authors: Fang, J., Feng, T., Guo, X., Ma, R., Lu, Y.
    • Journal: Journal of Cloud Computing, 2024, 13(1), 30
    • DOI: 10.1186/s13677-024-00306-6
    • Citations: 4

 

  • “DBCPCA: Double-layer blockchain-assisted conditional privacy-preserving cross-domain authentication for VANETs”
    • Authors: Guo, X., Lu, X., Jiang, Y., Fang, J., Zhang, D.
    • Journal: Ad Hoc Networks, 2024, 163, 103600
    • Citations: 0

 

  • “A Privacy-preserving Self-Sovereign Identity Scheme for Vehicular Ad hoc Networks”
    • Authors: Guo, X., Yuan, J., Feng, T., Fang, J., Wang, J.
    • Journal: Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46(7), pp. 2783–2792
    • Citations: 0

 

  • “A Practical and UC-Secure Decentralized Key Management and Authentication Scheme Based on Blockchain for VNDN”
    • Authors: Guo, X., Almadhehagi, S., Feng, T., Jiang, Y., Fang, J.
    • Journal: Computer Science and Information Systems, 2024, 21(3), pp. 725–757
    • Citations: 0

 

  • “Privacy-Preserving k-Nearest Neighbor Classification over Malicious Participants in Outsourced Cloud Environments”
    • Authors: Guo, X., Li, Y., Jiang, Y., Wang, J., Fang, J.
    • Journal: Cryptography, 2023, 7(4), 59
    • Citations: 0

 

  • “Privacy preserving multi-classification LR scheme for data quality”
    • Authors: Laicheng, C., Wentao, W., Tao, F., Xian, G.
    • Journal: Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2023, 50(5), pp. 188–198
    • Citations: 0

 

  • “CPPABK: Conditional privacy-preserving authentication scheme for VANETs based on the key derivation algorithm”
    • Authors: Wang, Y., Guo, X.
    • Journal: International Journal of Security and Networks, 2023, 18(4), pp. 199–212
    • Citations: 0

 

  • “An intelligent zero trust secure framework for software defined networking”
    • Authors: Guo, X., Xian, H., Feng, T., Jiang, Y., Zhang, D.
    • Journal: PeerJ Computer Science, 2023, 9, e1674
    • Citations: 0

 

  • “Homomorphic Encryption Based Privacy-Aware Intelligent Forwarding Mechanism for NDN-VANET”
    • Authors: Guo, X., Wang, B., Jiang, Y., Zhang, D., Cao, L.
    • Journal: Computer Science and Information Systems, 2023, 29(1)
    • Citations: 1

 

  • “Efficient privacy-protection scheme for distributed machine learning against collusion attack”
    • Authors: Cao, L., Wu, Q., Wu, R., Guo, X.
    • Journal: Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50(5), pp. 39–45
    • Citations: 0