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Muhammad Ogin Hasanuddin

Muhammad Ogin Hasanuddin, S.T., M.T.

Computer Engineering Research Groups

Muhammad Ogin Hasanuddin (Member, IEEE) is an academic and researcher in the field of electrical engineering and informatics. He earned his Bachelor's (S.T.) and Master's (M.T.) degrees from the Bandung Institute of Technology (ITB), Indonesia. He is currently a member of the Computer Engineering Research Group at the School of Electrical Engineering and Informatics (STEI) ITB.

In addition to his work at ITB, he is also pursuing a doctoral degree (Ph.D.) in Electrical and Computer Engineering at Inha University, South Korea. He is an active member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Circuits and Systems Society (CAS), and is involved in various international research collaborations.

Areas of Expertise and Research Interests

His primary research interests include algorithm and architecture design for homomorphic encryption, with a focus on computational efficiency and hardware optimization. Other topics of interest include:
-Internet of Things (IoT)
-RF/Microwave/Wireless
-Human–Computer Interaction (HCI)
-Machine Learning

Recent Publications and Projects

Muhammad Ogin Hasanuddin has authored over 30 international scientific publications covering a wide range of topics in embedded systems, lightweight cryptography, wireless communications, and homomorphic encryption. Among them:

Low-Cost Stereo Vision System Using ESP32-CAM and YOLO (2024)

Using Esch256 Algorithm for Smart Lock Systems (2024)

Performance Comparison of Modular Multipliers based on Karatsuba Algorithm (2024)

Low-Complexity Number Theoretic Transform in Homomorphic Encryption (2024)

Securing UAV Communication with TinyJAMBU Cryptography (2023)

GRAIN Algorithm Implementation for Lightweight Hardware-Based OTP Authentication (2023)

His work also includes the development of RF–DC converter systems, IoT trackers, PWA applications, and resource-limited device-based smart monitoring solutions.

Keyword

Computer Engineering

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