Seizure prediction using Hilbert Huang Transform on field programmable gate array. - Dilranjan S. Wickramasuriya; Lakshitha P. Wijesinghe; Sudaraka Mallawaarachchi (GlobalSIP, 2015)

Predicting episodes of atrial fibrillation using RR-intervals and ectopic beats. - Dilranjan S. Wickramasuriya; Calvin A. Perumalla; Richard D. Gitlin (BHI, 2017)

Anticipatory Mobility Management by Big Data Analytics for Ultra-Low Latency Mobile Networking. - Che-Yu Lin; Kwang-Cheng Chen; Dilranjan S. Wickramasuriya; Shao-Yu Lien; Richard D. Gitlin (ICC, 2018)

State-Space Modeling and Fuzzy Feedback Control of Cognitive Stress. - Hamid Fekri Azgomi; Dilranjan S. Wickramasuriya; Rose T. Faghih (EMBC, 2019)

A Cortisol-Based Energy Decoder for Investigation of Fatigue in Hypercortisolism. - Dilranjan S. Wickramasuriya; Rose T. Faghih (EMBC, 2019)

A Novel Filter for Tracking Real-World Cognitive Stress using Multi-Time-Scale Point Process Observations. - Dilranjan S. Wickramasuriya; Rose T. Faghih (EMBC, 2019)

A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance. - Dilranjan S. Wickramasuriya; Rose T. Faghih (IEEE Access, 2020)

A Bayesian Filtering Approach for Tracking Arousal From Binary and Continuous Skin Conductance Features. - Dilranjan S. Wickramasuriya; Rose T. Faghih (IEEE Trans. Biomed. Eng., 2020)

A Bayesian Filtering Approach for Tracking Sympathetic Arousal and Cortisol-Related Energy From Marked Point Process and Continuous-Valued Observations. - Dilranjan S. Wickramasuriya; Saman Khazaei; Roozbeh Kiani; Rose T. Faghih (IEEE Access, 2023)

Hybrid Decoders for Marked Point Process Observations and External Influences. - Dilranjan S. Wickramasuriya; Leslie J. Crofford; Alik S. Widge; Rose T. Faghih (IEEE Trans. Biomed. Eng., 2023)