Muhamad Erza Aminanto
Assistant Professor and Program Coordinator, Cybersecurity
- Accepting PhD students
Erza received the bachelor and Master degrees in electrical engineering from the Bandung Institute of Technology (ITB), Indonesia, in 2013 and 2014, respectively, and the Ph.D. degree from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2018. He is currently an Assistant Professor with Monash University Indonesia, Cybersecurity program.
He was a researcher at National Institute of Information and Communications Technology (NICT), Tokyo, Japan in AI x Security and a lecturer at University of Indonesia (UI) in cyber crime. He is also a Senior Research (Data) Scientist at Jakarta Smart City and advisory board for several government and private organisations. His current research interests include information security, artificial intelligence, anomaly detection, intrusion detection, cybersecurity, digital transformation and smart city.
More information
- Aminanto, M. E., Wicaksono, R. S. H., Aminanto, A. E., Tanuwidjaja, H. C., Yola, L., & Kim, K. (2022). Multi-Class Intrusion Detection Using Two-Channel Color Mapping in IEEE 802.11 Wireless Network. IEEE Access, 10, 36791-36801.
- Aminanto, M. E., Purbomukti, I. R., Chandra, H., & Kim, K. (2022). Two- Dimensional Projection-Based Wireless Intrusion Classification Using Lightweight EfficientNet. Computers, Materials and Continua, 72(3), 5301-5314.
- Nasution, B. I., Nugraha, Y., Prasetya, N. L., Aminanto, M. E., Sulasikin, A., Kanggrawan, J. I., & Suherman, A. L. (2022). COVID-19 Mortality Risk Factors Using Survival Analysis: A Case Study of Jakarta, Indonesia. IEEE Transactions on Computational Social Systems.
- Aminanto, M. E., Nasution, B. I., Sulasikin, A., Nugraha, Y., Kanggrawan, J., & Suherman, A. L. (2021, August). Contributing Clinical Attributes to COVID-19 Mortality in Jakarta: Machine Learning Study. In 2021 9th International Conference on Information and Communication Technology (ICoICT) (pp. 25-30). IEEE.
- Aminanto, M. E., Ban, T., Isawa, R., Takahashi, T., & Inoue, D. (2020). Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward- Chaining Analysis. IEEE Access, 8, 217977-217986.
- Aminanto, M.E., Choi, R., Tanuwidjaja, H.C., Yoo, P.D. and Kim, K., "Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection," in IEEE Transactions on Information Forensics and Security, vol. 13, no. 3, pp. 621-636, March 2018. doi: 10.1109/TIFS.2017.2762828
Check Erza Aminanto publication and research output in this Google Scholar in this links.
Teaching interests:
- Introduction to Cryptography
- Information Security
- Digital Forensics
- Information Security and Risk Management
- Business Continuity Plan and Disaster Recovery Plan
- Professional Practice
Research Interests:
- information security,
- artificial intelligence,
- anomaly detection,
- intrusion detection,
- cybersecurity,
- digital transformation,
- smart city.
- Dialog - Hacker Bjorka Bocorkan 6,6 Juta Data Wajib Pajak
- Captivating Notions on Jakarta's Thriving AI Technology Vision and its Embedding Journey to Boost its AI Capabilities
- Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection (IEEE Transactions on Information Forensics and Security).
- Tech Pioneers Gather at World Cyber Security Summit - ASEAN
- Data Science Academy, Compfest
- Negara Bakal Butuh Lebih Banyak Data Scientist, Mitos atau Fakta?
- Data Science Academy Camp 1: Awal Perjalanan Data
- KEBOCORAN DATA, INDIKASI KERENTANAN IKLIM SIBER DI INDONESIA
- Kecerdasan Artifisial Perkuat Keamanan Siber di Indonesia
- Kajian Ilmu Kepolisian SKSG UI Gelar Diskusi Ilmiah Kejahatan Siber pada Era “New Normal”
- Rancangan Tesis Berbasis Proyek Rekayasa Pertahanan Siber
- BRINDer Seri-8: AI dan Bigdata dalam Penginderaan Jauh
- Bahas Percepatan Pembangunan, Pemkab Minut- UI Gelar FGD
- Bertekad Bantu Pemda, Erza Aminanto Siap Wujudkan Transformasi Digital di Maluku Utara
- Best Paper Award IWBIS 2017
- KAIST Scholarship 2014-2018
- PI for UI grant: PPI Q1 2022-2023
- PI for UI grant: PPI Q2 2022-2023
- Team Leader of Study on Master Data Management in Digital ID
- Associate researcher for grant project from the National Research Foundation of Korea through the Korea Government (MSIT) under Grant NRF
- Associate researcher for grant project from the Institute for Information & communications Technology Promotion through the Korea Government (MSIT) (2017- 0-00555Towards Provable-secure Multi-party Authenticated Key Exchange Protocol based on Lattices in a Quantum World).
- Associate researcher for grant project from the Institute for Information & communications Technology Promotion through the Korea Government (MSIT) (2013- 0-00396, Research on Communication Technology using Bio-Inspired Algorithm).
- Academic Journal Reviewer at IEEE Transactions on Information Forensics and Security, Computer and Security, Computers and Electrical Engineering, IEEE Access, etc.