Nur Ahmadi
Assistant Professor · School of Electrical Engineering and Informatics

Nur Ahmadi

Institut Teknologi Bandung (ITB) · Bandung, Indonesia

Nur Ahmadi is a lecturer and researcher at ITB's School of Electrical Engineering and Informatics, working at the intersection of AI, signal processing, and biomedical circuits & systems: from decoding brain signals to enable paralysed patients to control devices, to building wearable systems that monitor human health. His works bring a combination of signal processing and AI expertise with embedded hardware know-how to problems that genuinely matter for human health. It spans from fundamental research to real devices/systems built and tested with clinical collaborators, bridging the gap between algorithm and bedside.

nahmadi@itb.ac.id Google Scholar GitHub ORCID ITB Webpage

Research Interests

  • Artificial Intelligence
  • Signal Processing
  • Chip Design & Digital Systems
  • Biomedical Circuits & Systems
  • Brain-Machine Interfaces

Education

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PhD in Electrical and Electronic Engineering, 2020

Imperial College London, United Kingdom

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Master's in Communications and Integrated Systems, 2013

Tokyo Institute of Technology, Japan

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Bachelor's in Electrical Engineering, 2011

Institut Teknologi Bandung, Indonesia

Research

Our group works on the following core themes

Brain-Machine Interfaces & Neural Signal Processing

How do we translate the brain's electrical whispers into meaningful commands for machines? This research develops signal processing and AI algorithms to decode motor intention directly from neural recordings, enabling paralysed patients to control external devices (e.g. computers) with thought alone.

Wearable & Contactless Vital Sign Monitoring

Continuous health monitoring shouldn't require a hospital visit. This research builds wearable and contactless systems — using photoplethysmography (PPG), remote PPG from cameras, and FMCW radar — to measure heart rate, respiratory rate, and heart rate variability unobtrusively in daily life.

AI for Mental Health & Dementia Care

Mental health conditions are vastly underdiagnosed, partly because objective monitoring tools barely exist outside clinical settings. This research develops AI-driven applications and smart wearables for mental health screening and unobtrusive home monitoring for people with dementia using edge AI.

Edge AI & Embedded Systems for Healthcare

Some healthcare applications require running AI in real time on a small, power-efficient edge device. This research focuses on hardware-software co-design including optimizing AI models for embedded deployement on FPGAs and microcontrollers (MCUs), and designing neuromorphic algorithm & system.

Selected Publications

Recent and representative works — see Google Scholar for the full list

2026

Access Control Development Within the Framework of an IOTA-Based Electronic Medical Record Management System

Hari Purnama, I Putu Bakta Hari Sudewa, Tazkia Nizami, Bagas Sambega Rosyada, Pradipta Rafa Mahesa, Nur Ahmadi · Sensors, Vol. 26, No. 5, pp. 1422.

Journal Q1 Link
2025

Comparative Evaluation of N-Gram and Transformer Based Language Models for ECoG-Based Speech Neuroprosthesis

Bagas Aryo Seto, Nur Ahmadi, Dessi Puji Lestari · 2025 28th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), Yogyakarta, Indonesia.

Conference Link
2025

Brain-Machine Interface Decoding Using Optimized Recurrent Spiking Neural Networks on MCU

Eraraya Morenzo Muten, Nur Ahmadi, Timothy G. Constandinou, Trio Adiono · 2025 17th International Conference on Signal Processing Systems (ICSPS), Chengdu, China.

Conference Link
2025

Automated Digit Recognition and Measurement-Type Classification from Blood Pressure Monitor Images Using Deep Learning

Nur Ahmadi, Hansel Valentino Tanoto, Rinaldi Munir · Algorithms, Vol. 18, No. 7, pp. 377.

Journal Q2 Link
View all publications →

News

Latest updates from the group

16 Apr 2026

New paper accepted — "Overcoming Data Scarcity In Radar-Based Human Activity Recognition: An Empirical Study of Multi-Radar Training" has been accepted at EMBC 2026 in Toronto, Canada. Preprint available soon.

9 Apr 2026

Research grant awarded — Received funding for Fundamental Research Program from the Indonesian Ministry of Higher Education, Science, and Technology (Kemdiktisaintek).

8-12 Apr 2026

Attended IEEE ISBI 2026, London — Attended and supported my student presenting a paper "Real-Time Camera-Based Heart Rate Estimation System Using Deep Learning on Edge Device".

24 Feb 2026

New paper published — "Access Control Development Within the Framework of an IOTA-Based Electronic Medical Record Management System" has been published at Sensors journal.

15-19 Feb 2026

Attended IEEE ISSCC 2026, San Francisco — Attended the conference and witnessed the awarding ceremony of my students' Code-A-Chip Award from IEEE SSCS.

Team

Current members

SA

Shaker F. K. Abushukor

PhD Student · Electrical Engineering

AN

Azita Nadiya Noorazlina

Master's Student · Electrical Engineering

WN

Wilson Tansil

Master's Student · Computer Science

DF

Dwi Rezky Fahlan

Research Assistant · Biomedical Engineering

👋

Join our group!

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Teaching

Courses offered at ITB

IF4051

IoT System Development — Undergraduate

Semester 2 2025/2026 · Students learn to design and build end-to-end Internet of Things (IoT) systems from sensor interfacing and embedded firmware to wireless communication protocols and cloud integration. This course provides hands-on experience deploying real IoT systems in practical applications.

WI2002

Data Literacy and Artificial Intelligence — Undergraduate

Semester 2 2025/2026 · This course teaches students to critically understand, interpret, and work with data in the age of artificial intelligence (AI). It covers the concept of statistics, exploratory data analysis, AI/ML, and ethical considerations to equip students to make informed decisions in a data-driven world.

EL5002

Electrical Engineering Special Topics - Graduate

Semester 2 2025/2026 · Students explore advanced and emerging topics at the frontier of electrical engineering through in-depth study (project-based) of current research literature and independent investigation of open problems in the field.

EL2003

Discrete Structure - Undergraduate

Semester 1 2025/2026 · Students learns the mathematical foundations of computing including logic, proof, set theory, graph theory, combinatorics, and tree. It builds the rigorous thinking skills essential for algorithm design, digital systems, and advanced study in electrical engineering and computer science.

EL4013

VLSI System Design - Undergraduate

Semester 1 2025/2026 · Students learn the principles and methodologies of designing very large-scale integrated (VLSI) circuits from RTL design and logic synthesis to FPGA prototyping. This project-based course develops practical skills in Verilog hardware description languages and industry-standard EDA tools.

EL5002

Final Project Proposal - Undergraduate

Semester 1 2025/2026 · Students develop and present a structured engineering (capstone) design project proposal (defining a clear problem statement, methodology, and timeline), which builds the technical writing, critical thinking, teamwork and presentation skills needed to carry out a final-year project.

Contact

Open to collaborations, students, and media enquiries

Office

DRI Office, CRCS Building 6th Floor
Institut Teknologi Bandung
Jl. Ganesha 10, Bandung 40132

Phone

+62-22-2502260

Office Hours

Monday & Friday, 08:00–10:00
or by appointment via email