Andriyan B. Suksmono

Andriyan Bayu Suksmono is a Professor in the School of Electrical Engineering and Informatics, ITB (Institut Teknologi Bandung), Indonesia. He received Sarjana (BSc.) in Physics and Magister (M.S.) in Electrical Engineering from the ITB, and a PhD degree from Faculty of Engineering, The University of Tokyo, Japan.

Rapid advances in computation, signal processing, and sensing have exposed fundamental limitations of classical approaches in acquiring, reconstructing, and interpreting high-dimensional data, particularly in radar, biomedical imaging, and emerging quantum computing. My research vision is to develop original algorithms, theoretical frameworks, and system-level solutions—including quantum and hybrid quantum–classical approaches—that overcome these limitations while remaining grounded in real-world applicability. I have initiated and led pioneering work in quantum algorithms, notably quantum-assisted search strategies for Hadamard matrices beyond classical computational limits, and in compressive sensing methods enabling efficient sub-Nyquist acquisition in radar, inverse problems, and imaging systems. Through sustained leadership of multidisciplinary research and postgraduate supervision, this work translates theory into validated prototypes and experimental systems, has produced a portfolio of internationally cited publications, established new research directions adopted by academic and national programmes, and contributed to building long-term capacity in advanced computation and sensing.

I have led pioneering research in quantum computing, signal processing, and sensing for over a decade, translating theoretical innovations into validated experimental systems. My leadership spans national and international collaborations, supervision of multidisciplinary teams, and development of research capacity in emerging technologies, with a sustained portfolio of high-impact publications recognized globally.

• Center for Research Collaboration in Quantum Technology 2.0 (ITB, Telkom Univ., BRIN) – multi-year national collaboration advancing quantum algorithms and hybrid quantum-classical methods.

• AI-Microscope for Tuberculosis Detection – interdisciplinary collaboration with MIT CSAIL & University of Tokyo.

• Quantum Hadamard Search Algorithm Project – multi-phase research developing quantum-assisted approaches beyond classical computation limits.

• Keynote & Tutorials: IEEE IGARSS 2025, IBM Qiskit Fall Fest.

• Quantum Algorithms: demonstrators for Hadamard matrix search.

• Radar / Imaging: sub-Nyquist acquisition systems, polarimetric Doppler radar, AI-based microscope.

• Biomedical Devices: low-cost diagnostic prototypes for TB detection.