STEI - Sekolah Teknik Elektro dan Informatika

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Nur Ahmadi

Nur Ahmadi, S.T., M.Eng., Ph.D., DIC.

elektronika

Email : nahmadi@itb.ac.id

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 and the ITB Microelectronics Center. He completed his Bachelor of Electrical Engineering at ITB in 2011, a Masters in Communications and Integrated Systems from Tokyo Institute of Technology, Japan, in 2013, and earned a Ph.D. in the field of Electrical and Electronic Engineering from Imperial College London, England, in 2020. His dissertation focused on the development of signal processing and deep learning methods for intracortical brain-machine interfacesFor his research contributions, he received Travel Grant Award at IEEE UKCAS 2018 in Glasgow, Scotland and Young Researchers Poster Award at IEEE BioCAS 2019 in Nara, Japan.

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 (SSCS) Chapter Indonesia and Vice Chair of IEEE Circuits and Systems Society (CASS) Chapter Indonesia. He was also a member of Visiting Researcher 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, and contactless systems for healthcare applications and real-time monitoring. His areas of expertise and research interests include biomedical signal processing, . And ., brain-machine interface And neurotechnology, as well as circuits and systems for biomedical/healthcare applications and smart technologies.

Project

  1. Development of a Model and Prototype for Early Detection of Mental Health Disorders Based on Speech or Oral Conversation with a Self-Supervised Contrastive Learning (SSCL) Approach (2026)
  2. Modelling and Control of a Novel Foldable Fabric-Based Soft Robot for Minimally Invasive Surgery (2026)
  3. Energy-Efficient Edge AI System-on-Chip (SoC) Based on Multi-Core RISC-V with Integrated AI Accelerator (2026)
  4. Development of Efficient Neuromorphic Signal Processing and AI Methods for Brain-Machine Interface (2025)
  5. Towards Foldable Fabric-Based Soft Robot for Minimally Invasive Surgery (2025)
  6. Torus-Based Fully Homomorphic Encryption Hardware Accelerator for Secured Deep Learning (2025)
  7. Overseas Research Grant, The Asahi Glass Foundation 2025 (2025)
  8. Development of a Contactless Multi-Subject Heart Rate Estimation System Based on Remote PPG and AI (2025)
  9. Brain-Machine Interface (BMI) Decoder Hardware Design Based on Spiking Neural Network (SNN) and Its Implementation on FPGA (2025)
  10. Development of Project-Based Teaching and Learning Materials for the EL2003 Discrete Structure Course (2025)
  11. Equity2025 – Real-Time and Accurate Human Activity Recognition System Based on Multisensor Fusion and Edge AI on Wearable Devices (2025)
  12. Development of a Multimodal Artificial Intelligence Data Recording System for Anxiety Detection (2025)
  13. Development of mHealth Applications, Wearable Devices, and Artificial Intelligence for Suicide Prediction in Mental Health Patients (2024)
  14. RU3P2024@Development of Smart Wearable Devices for Mental Health Monitoring (2024)
  15. Unobtrusive Monitoring Technology for Dementia Home Care Using Radar and Edge AI (2024)
  16. Innovation and Improvement of Discrete Structure Course Learning Based on Student Centered Learning (SCL) (2024)
  17. Hardware Accelerator Design of Deep Reinforcement Learning for Continuous Control in Mobile Robots (2024)
  18. Wearable/Mobile Device and Artificial Intelligence-Based Health Monitoring System - Year 2 (2022)
  19. A Contactless and Continuous Vital Sign Monitoring System Using Radar Technology and Artificial Intelligence (2022)
  20. Application of Artificial Intelligence Technology for Aquaculture (partner: eFishery) (2022)
  21. Development of a Smart Wearable Device for Continuous Patient Respiratory Rate Monitoring (2022)
  22. CHARM: Contactless Heart and Respiratory Monitoring based on Remote PPG and AI (2022)
  23. Flexible and Configurable Deep Reinforcement Learning (DLR) Processor for Smart Navigation in Factory System (2021)
  24. Health Monitoring System Based on Wearable/Mobile Devices and Artificial Intelligence (2021)

Publication

  1. Access Control Development Within the Framework of an IOTA-Based Electronic Medical Record Management System (2026)
  2. FPGA-Based Hardware Accelerator for LWE Encryption and Decryption with TFHE Scheme (2025)
  3. Automated Digit Recognition and Measurement-Type Classification from Blood Pressure Monitor Images Using Deep Learning (2025)
  4. Automated Digit Recognition and Measurement-Type Classification from Blood Pressure Monitor Images Using Deep Learning (2025)
  5. Automated Digit Recognition and Measurement-Type Classification from Blood Pressure Monitor Images Using Deep Learning (2025)
  6. Deep Reinforcement Learning for Intrusion Detection System on the Internet of Things (2025)
  7. Investigation of Enhancement Strategies for Recurrent Spiking Neural Network based Brain-Machine Interface Decoding (2025)
  8. Investigation of Enhancement Strategies for Recurrent Spiking Neural Network based Brain-Machine Interface Decoding (2025)
  9. FPGA-Based Hardware Accelerator for LWE Encryption and Decryption with TFHE Scheme (2025)
  10. Investigation of Enhancement Strategies for Recurrent Spiking Neural Network based Brain-Machine Interface Decoding (2025)
  11. Comparative Analysis of Interbeat Interval and Heart Rate Variability Measurements from Wearable Devices (2024)
  12. A Novel Prediction Technique for Intermittent UWB Positioning System Using Hybrid LSTM-Trilateration (2024)
  13. Automated Acute Myocardial Infarction Detection Using Machine Learning from Phonocardiogram (2024)
  14. Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning (2024)
  15. Real-Time Estimation of Respiratory Rate Using Contactless FMCW Radar with Adaptive Filtering for Various Breathing Patterns (2024)
  16. Radar-Based Human Activity Recognition Using Optimized CNN on Edge Devices (2024)
  17. Radar-Based Human Activity Recognition Using Optimized CNN on Edge Devices (2024)
  18. Radar-Based Human Activity Recognition Using Optimized CNN on Edge Devices (2024)
  19. Comparative Evaluation of Fine-Tuned Hybrid Transformer and Band-Split Recurrent Neural Networks for Music Source Separation (2024)
  20. A Comparative Evaluation of Video Codecs for rPPG-based Heart Rate Estimation (2023)
  21. Indoor Localization System Based on Bluetooth Low Energy Beacons and Spiking Neural Networks (2023)
  22. Human Activity Recognition Based on Wearable Devices and Feedforward Neural Networks (2023)
  23. Human Activity Recognition Based on FMCW Radar Using CNN and Transfer Learning (2023)
  24. Signal Quality Assessment for Wearable Multichannel Photoplethysmography Signals (2023)
  25. Improved Spike-based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning (2022)
  26. Contactless Respiratory Rate Monitoring Using FMCW Radar (2022)
  27. Design of PCB and Power Supply for Portable 6-Lead Electrocardiogram (ECG) (2022)
  28. Development and Evaluation of a Contactless Heart Rate Measurement Device Based on rPPG (2022)
  29. Reinforcement Learning Accelerator using Q-Learning Algorithm with Optimized Bit Precision (2022)
  30. Non-Contact Supervision of COVID-19 Breathing Behaviour with FMCW Radar and Stacked Ensemble Learning Model in Real-Time (2022)
  31. Respinos: A Portable Device for Remote Vital Signs Monitoring of COVID-19 Patients (2022)
  32. Inferring entire spiking activity from local field potentials (2021)
  33. Hardware Resource Reduction Using Winograd Approach on YOLOv3-Tiny (2021)
  34. FPGA Implementation of IoT-Based Health Monitoring System (2021)
  35. An inter-processor communication (IPC) data sharing architecture in heterogeneous MPSoC for OFDMA (2018)
  36. Highly stable analog front-end design for NFC smart card (2017)
  37. Performance comparison of denoising methods for heart sound signal (2016)
  38. Hardware architecture of time domain LTE baseband signal processor (2016)
  39. Flexible data sharing architecture of WiMAX heterogeneous Multiprocessor System on Chip (2016)
  40. Automatic segmentation and detection of heart sound components S1, S2, S3 and S4 (2016)
  41. VLC physical layer design based on Pulse Position Modulation (PPM) for stable illumination (2016)
  42. Ultrasonic sensor based contactless theremin using pipeline CORDIC as tone generator (2016)
  43. Architecture and FPGA implementation of LTE PSS and SSS synchronizer (2016)
  44. Establishment of Wi-Fi Display session between source and sink device in wireless Android screencasting (2016)
  45. Empirical mode decomposition (EMD) based denoising method for heart sound signal and its performance analysis (2016)
  46. CORDIC and Taylor based FPGA music synthesizer (2016)
  47. A pipelined CORDIC architecture and its implementation in all-digital FM modulator-demodulator (2015)
  48. An SoC architecture for real-time noise cancellation system using variable speech PDF method (2015)
  49. Design and implementation of visible light communication system using pulse width modulation (2015)
  50. FPGA implementation of CORDIC algorithms for sine and cosine generator (2015)
  51. Hardware implementation of montgomery modular multiplication algorithm using iterative architecture (2015)
  52. FPGA implementation of modified serial montgomery modular multiplication for 2048-bit RSA cryptosystems (2015)
  53. An optimal architecture of BCH decoder (2010)

Keyword

Electronics, Artificial Intelligence, Signal Processing, Biomedical Circuits & Systems, Brain-Machine Interfaces

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