Nasim Alamdari

According to our database, Nasim Alamdari authored at least 9 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Personalization of Hearing Aid Compression by Human-in-the-Loop Deep Reinforcement Learning.

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz

IEEE Access, 2020

2019

Self-Supervised Deep Learning-Based Speech Denoising.

Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz

CoRR, 2019

A Real-Time Smartphone App for Unsupervised Noise Classification in Realistic Audio Environments.

Nasim Alamdari, Nasser Kehtarnavaz

Proceedings of the IEEE International Conference on Consumer Electronics, 2019

An Educational Tool for Hearing Aid Compression Fitting via a Web-based Adjusted Smartphone App.

Nasim Alamdari, Edward Lobarinas, Nasser Kehtarnavaz

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Analyzing Seismocardiogram Cycles to Identify the Respiratory Phases.

Vahid Zakeri, Alireza Akhbardeh, Nasim Alamdari, Reza Fazel-Rezai, Mikko Paukkunen, Kouhyar Tavakolian

IEEE Trans. Biomed. Eng., 2017

2016

A morphological approach to detect respiratory phases of seismocardiogram.

Nasim Alamdari, Kouhyar Tavakolian, Vahid Zakeri, Reza Fazel-Rezai, Alireza Akhbardeh

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Detection and classification of acne lesions in acne patients: A mobile application.

Nasim Alamdari, Kouhyar Tavakolian, Minhal Alhashim, Reza Fazel-Rezai

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

A review of methods and applications of brain computer interface systems.

Nasim Alamdari, Ali Haider, M. Riadh Arefin, Ajay K. Verma, Kouhyar Tavakolian, Reza Fazel-Rezai

Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

2015

Using Electromechanical Signals Recorded from the Body for Respiratory Phase Detection and Respiratory Time Estimation: A Comparative Study.

Nasim Alamdari, Kouhyar Tavakolian, Vahid Zakeri, Reza Fazel-Rezai, Mikko Paukkunen, Raimo Sepponen, Alireza Akhbardeh

Proceedings of the Computing in Cardiology, 2015