Hi, I'm Muftee. I build wearables that listen to the body.

I build wearable devices that record physiological signals and process them on the device itself. My current focus is the gut as an interaction site: recording gut sounds non-invasively, cleaning and classifying them at the edge, and using them for feedback. Because the gut is linked to the brain through the enteric nervous system, I want to extend this work to study affect, combining gut-computer and brain-computer interfaces.

Most recently I was a research intern at the Augmented Human Lab, National University of Singapore, where I built the hardware for OpenGut (UIST '26). I am applying to PhD programmes for Fall 2027.

1. C1

   OpenGut: An Open-Source Platform for Gut-Computer Interaction Research

   Muftee Mysan*, Soundarya Ramesh*, Peter Cleveland, Ryo Hajika, Mia Huong Nguyen, Jochen Huber, Marianna Obrist, Suranga Nanayakkara

   Proceedings of the 39th Annual ACM Symposium on User Interface Software and Technology (UIST '26), Detroit, MI, USA, 2026. Full paper and demo. To appear.

   • Project page
   • Code
   • Video
2. P1

   Interrupting Autopilot: Evaluating Sensory Interventions for Momentary Self-Regulation

   Dinithi Dissanayake, Muftee Mysan, Yifei Luo, Timothy Antoni, Peter Cleveland, Prasanth Sasikumar, Suranga Nanayakkara

   Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '26), Barcelona, Spain, 2026. Poster.

   • DOI

* Equal contribution

• Nov 2026Presenting OpenGut (full paper and demo) at UIST '26 in Detroit.
• Jun 2026Completed my research internship at the Augmented Human Lab, National University of Singapore.
• 2026Presented the Interrupting Autopilot poster at CHI '26 in Barcelona.
• Dec 2025Started a research internship at the Augmented Human Lab, NUS, with Prof. Suranga Nanayakkara.

• University of Moratuwa, Sri Lanka

  Feb 2023 – May 2027 (expected)

  B.Sc. Engineering (Hons) in Electronic and Telecommunication Engineering, Minor in Mathematics

  • CGPA 3.94/4.00; top 10 of 100 in the department; Dean's List every semester.
  • Final-year project: a hardware platform for real-time gut activity monitoring.

• Wesley College, Colombo

  Jan 2019 – Mar 2022

  G.C.E. Advanced Level, Physical Science

  • 4 A's, Z-score 2.7140; ranked 16th nationally.

Research interests

Wearable electronics, Biomedical signal processing, Biomedical device design, Edge computing, Gut-computer interaction, Brain-computer interfaces

Hardware

PCB design (Altium Designer, KiCad), Analog front-end design, Circuit simulation (PSIM, LTspice), 3D CAD design (SolidWorks, Onshape)

Embedded system platforms

nRF Connect SDK (nRF52, nRF53), STM32CubeIDE (STM32), ESP-IDF (ESP32), Arduino (AVR microcontrollers - ATmega, ATtiny), Raspberry Pi

Programming languages

Python, C/C++

Signal processing & ML

NumPy, SciPy, MATLAB, PyTorch, TensorFlow, TinyML

Spoken languages

English, Sinhala, Tamil

Certifications

nRF Connect SDK Fundamentals (Nordic Semiconductor, 2026), Tiny Machine Learning Program (HarvardX / edX, 2026), CS50's Introduction to AI with Python (HarvardX / edX, 2025), Machine Learning Specialization (DeepLearning.AI, 2024), Artificial Intelligence in Embedded Systems (University of Moratuwa, 2024)