A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. - Emad Kasaeyan Naeini; Iman Azimi; Amir M. Rahmani; Pasi Liljeberg; Nikil D. Dutt (ANT/EDI40, 2019)

An Edge-Assisted and Smart System for Real-Time Pain Monitoring. - Emad Kasaeyan Naeini; Sina Shahhosseini; Ajan Subramanian; Tingjue Yin; Amir M. Rahmani; Nikil D. Dutt (CHASE, 2019)

Robust ECG R-peak detection using LSTM. - Juho Laitala; Mingzhe Jiang; Elise Syrjälä; Emad Kasaeyan Naeini; Antti Airola; Amir M. Rahmani; Nikil D. Dutt; Pasi Liljeberg (SAC, 2020)

GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. - Seyed Amir Hossein Aqajari; Emad Kasaeyan Naeini; Milad Asgari Mehrabadi; Sina Labbaf; Amir M. Rahmani; Nikil D. Dutt (CoRR, 2020)

Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness. - Sina Shahhosseini; Anil Kanduri; Milad Asgari Mehrabadi; Emad Kasaeyan Naeini; Dongjoo Seo; Sung-Soo Lim; Amir M. Rahmani; Nikil D. Dutt (AICAS, 2021)

pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity. - Seyed Amir Hossein Aqajari; Emad Kasaeyan Naeini; Milad Asgari Mehrabadi; Sina Labbaf; Nikil D. Dutt; Amir M. Rahmani (ANT/EDI40, 2021)

GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection. - Rozhin Yasaei; Shih-Yuan Yu; Emad Kasaeyan Naeini; Mohammad Abdullah Al Faruque (DAC, 2021)

Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method. - Rui Cao; Seyed Amir Hossein Aqajari; Emad Kasaeyan Naeini; Amir M. Rahmani (EMBC, 2021)

P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks. - Khuong Vo; Emad Kasaeyan Naeini; Amir Naderi; Daniel Jilani; Amir M. Rahmani; Nikil D. Dutt; Hung Cao (SAC, 2021)

AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems. - Emad Kasaeyan Naeini; Sina Shahhosseini; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (CoRR, 2021)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems. - Emad Kasaeyan Naeini; Sina Shahhosseini; Anil Kanduri; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (DATE, 2022)

Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Sina Shahhosseini; Yang Ni 001; Emad Kasaeyan Naeini; Mohsen Imani; Amir M. Rahmani; Nikil D. Dutt (ACM Great Lakes Symposium on VLSI, 2022)

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Sina Shahhosseini; Yang Ni 001; Hamidreza Alikhani; Emad Kasaeyan Naeini; Mohsen Imani; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2022)

Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. - Anil Kanduri; Sina Shahhosseini; Emad Kasaeyan Naeini; Hamidreza Alikhani; Pasi Liljeberg; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2022)

An End-to-End Platform for Multi-Modal Machine Learning Affective Computing Services - Emad Kasaeyan Naeini (2022)

A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability. - Emad Kasaeyan Naeini; Fatemeh Sarhaddi; Iman Azimi; Pasi Liljeberg; Nikil D. Dutt; Amir M. Rahmani (ACM Trans. Comput. Heal., 2023)

ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables. - Hamidreza Alikhani; Anil Kanduri; Emad Kasaeyan Naeini; Sina Shahhosseini; Pasi Liljeberg; Amir M. Rahmani; Nikil D. Dutt (IEEE Des. Test, 2025)