{"id":29194,"date":"2026-03-05T08:39:20","date_gmt":"2026-03-05T01:39:20","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?page_id=29194"},"modified":"2026-05-19T14:58:33","modified_gmt":"2026-05-19T07:58:33","slug":"nur-ahmadi","status":"publish","type":"page","link":"https:\/\/stei.itb.ac.id\/en\/dosen\/nur-ahmadi\/","title":{"rendered":"Nur Ahmadi"},"content":{"rendered":"
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Nur Ahmadi, S.T., M.Eng., Ph.D., DIC.<\/h1>\n

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Email : nahmadi@itb.ac.id<\/span><\/a><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t

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Nur Ahmadi is a lecturer and researcher at the School of Electrical Engineering and Informatics (STEI), Bandung Institute of Technology (ITB), and is affiliated with the Center for Artificial Intelligence<\/em> and the ITB Microelectronics Center. He completed his Bachelor of Electrical Engineering at ITB in 2011, a Masters in Communications and Integrated Systems<\/em> from Tokyo Institute of Technology, Japan, in 2013, and earned a Ph.D. in the field of Electrical and Electronic Engineering<\/em> from Imperial College London, England, in 2020. His dissertation focused on the development of signal processing and deep learning methods for intracortical brain-machine interfaces<\/em>For his research contributions, he received Travel Grant Award<\/em> at IEEE UKCAS 2018 in Glasgow, Scotland and Young Researchers Poster Award<\/em> at IEEE BioCAS 2019 in Nara, Japan.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div>

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In addition to his active research and publication activities, Nur currently serves as Deputy Director for Research and Dissemination, Directorate of Research and Innovation (DRI) ITB, a role that focuses on facilitating and promoting research and scientific dissemination within the ITB academic environment. He is also currently the Chair of the IEEE Solid-State Circuit Society<\/i> (SSCS) Chapter Indonesia and Vice Chair of IEEE Circuits and Systems Society<\/i> (CASS) Chapter Indonesia. He was also a member of Visiting Researcher<\/i> at the world's top universities, such as Imperial College London (since 2023) and the University of Cambridge (2023), and are involved in various research projects that combine AI technology, wearable device<\/i>, and contactless systems for healthcare applications and real-time monitoring. His areas of expertise and research interests include biomedical signal processing<\/i>, .<\/i> And .<\/i>, brain-machine interface<\/i> And neurotechnology<\/i>, as well as circuits and systems<\/i> for biomedical\/healthcare applications and smart technologies.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div>