Hamidreza Ghasemi Damavandi

Oil-spill forensics using two-dimensional gas chromatography: Differentiating highly correlated petroleum sources using peak manifold clusters

Robert Nelson, Ananya Sen Gupta, Hamidreza Ghasemi Damavandi, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Compressed Forensic Source Image Using Source Pattern Map

Robert Nelson, Ananya Sen Gupta, Hamidreza Ghasemi Damavandi, 2016, 2016 Data Compression Conference (DCC).

Data analytics, interpretation and machine learning for environmental forensics using peak mapping methods

Hamidreza Ghasemi Damavandi, H. G. Damavandi, 2016 .

A Learning Framework for An Accurate Prediction of Rainfall Rates.

Hamidreza Ghasemi Damavandi, Reepal Shah, R. Shah, 2019, 1901.05885.

Machine Learning: An Efficient Alternative to the Variable Infiltration Capacity Model for an Accurate Simulation of Runoff Rates

Dragan Boscovic, Hamidreza Ghasemi Damavandi, Reepal Shah, 2019 .

Robust Oil-spill Forensics and Petroleum Source Differentiation using Quantized Peak Topography Maps

Guadalupe Canahuate, Ananya Sen Gupta, Hamidreza Ghasemi Damavandi, 2018, 1807.07484.

Predicting the effects of epidural stimulation to improve hand function in patients with spinal cord injury: An active learning-based solution using dynamic sample weighting

Majid Sarrafzadeh, Anahita Hosseini, Hamidreza Ghasemi Damavandi, 2018, bioRxiv.

Signal variability and data compression considerations for petroleum forensics in two-dimensional gas chromatography

Ananya Sen Gupta, Hamidreza Ghasemi Damavandi, Robert K. Nelson, 2017, OCEANS 2017 - Aberdeen.

Compound-Cognizant Feature Compression of Gas Chromatographic Data to Facilitate Environmental Forensics

Robert Nelson, Ananya Sen Gupta, Hamidreza Ghasemi Damavandi, 2015, 2015 Data Compression Conference.

An Active Learning Based Prediction of Epidural Stimulation Outcome in Spinal Cord Injury Patients Using Dynamic Sample Weighting

Majid Sarrafzadeh, Mohammad Kachuee, Anahita Hosseini, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).