Rishad Raiyan Joarder

PhD Student in ECE @ UCDavis || Wearable Devices/AI in Health

Project maintained by dip987 Hosted on GitHub Pages — Theme by mattgraham

Welcome!

This is Rishad Raiyan. I am a PhD student at the University of California, Davis working under Prof. Soheil Ghiasi. We are currently working on a handheld device for sensing fetal oxygenation levels through the maternal abdomen using continuous wave near-infrared spectroscopy (CWNIRS) during pregnancy. For more information, visit the TFO project homepage.

My contributions include photon transport/Monte Carlo simulations on idealized tissue models which guide the team’s design efforts. I also work with various digital signal processing and machine learning algorithms applied to real-life data gathered by our probes.

In my free time, I tinker around with electronics, IoT devices and some cross-platform app development.

Education

2020 - Current : PhD @ University of Davis, California (ECE Department)
2014 - 2018 : BSc @ Bangladesh Universty of Engineering & Technology (EEE Department)

Publications

Taha, T. M., Raiyan, R., Akhtar, S., Awwal, R., & Alom, M. Z. (2019, September). Non-invasive detection of breast cancer using deep learning (Conference Presentation). In Applications of Machine Learning (Vol. 11139, p. 1113912). SPIE.
Islam, M. S., Raiyan, R., & Saha, A. (2018, December). Silvaco Based Simulation of Unequal Double Gate Junctionless TFET with GaAs-GaSb Heterostructure. In 2018 10th International Conference on Electrical and Computer Engineering (ICECE) (pp. 125-128). IEEE
Hasan, N. I., Hasan, M. T., Turja, N. H., Raiyan, R., Saha, S., & Hossain, M. F. (2019, March). A Cyber-Secured MQTT based Offline Automation System. In 2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) (pp. 479-484). IEEE

My Socials

LinkedIn
GitHub
Instagram