Behnaz Ghoraani

73 papers A 1B 2Misc 3Journal 26Unranked 41

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models. CoRR Anantharaman Janakiraman, Behnaz Ghoraani
2025	—	`conf`	Multi-channel Time-series Transformer for Wearable Monitoring of Rigidity in Parkinson's Disease. COINS John Forde, Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2025	—	`conf`	Multivariate EMD for EEG-Based Characterization of Neurodegenerative Diseases. IEEECONF Ethan Zhu, Marjan Nassajpour, Behnaz Ghoraani
2025	—	`conf`	QCSNN: A Memory-Efficient Spiking Neural Network for On-Device ECG-Based Arrhythmia Detection. COINS Olamilekan Banjo, Behnaz Ghoraani
2024	—	`conf`	Advancing Parkinson's Disease Management Through Multi-Shared-Task Self-Supervised Signal Processing. IEEECONF Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2024	J	`jnl`	Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. Murtadha D. Hssayeni, Behnaz Ghoraani
2024	—	`conf`	Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation. EMBC Marjan Nassajpour, Mustafa Shuqair, D. P. T. Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
2024	—	`conf`	Mild Cognitive Impairment Detection through Gait Analysis and Standard Cameras. EMBC Brennen Farrell, Julia Horn, Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani
2024	J	`jnl`	Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. Frontiers Digit. Health Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
2024	J	`jnl`	Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. IEEE J. Biomed. Health Informatics Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2024	—	`conf`	Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III. EMBC Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2024	—	`conf`	Smartphone-Based Balance Assessment Using Machine Learning. EMBC Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
2024	—	`conf`	Tensor Decomposition for fNIRS-Based Purchase Intention Decoding in Neuromarketing. SiPS Jasmine Y. Chan, Terrence M. Barnhardt, Behnaz Ghoraani, Teresa Wilcox
2024	—	`conf`	Wearable Sensor Configurations for Effective Tremor Assessment in Parkinson's Disease. EMBC Shay Reardon, Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2023	J	`jnl`	IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. IEEE Signal Process. Mag. Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu
2023	J	`jnl`	IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. IEEE Signal Process. Mag. Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu
2022	—	`conf`	Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. EMBC Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani
2022	J	`jnl`	Biological Signal Processing and Analysis for Healthcare Monitoring. Sensors Yunfeng Wu, Behnaz Ghoraani
2022	—	`conf`	Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). ICDM (Workshops) Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani
2022	—	`conf`	Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
2022	—	`conf`	Incremental Learning in Time-series Data using Reinforcement Learning. ICDM (Workshops) Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
2022	B	`conf`	Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC Jasmine Y. Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani
2021	J	`jnl`	Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin
2021	J	`jnl`	Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access Murtadha D. Hssayeni, Behnaz Ghoraani
2021	J	`jnl`	The forecast of COVID-19 spread risk at the county level. J. Big Data Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani
2020	—	`conf`	Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
2020	—	`conf`	Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. EMBC Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2020	J	`jnl`	Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. Data Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
2020	J	`jnl`	Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed
2020	—	`conf`	Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. EMBC Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani
2019	Misc	`conf`	A Novel Resource-aware Tensor Decomposition Design Based on Reinforcement Learning. ICASSP Behnaz Ghoraani
2019	—	`conf`	Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
2019	—	`conf`	Continuous Parkinsonian Tremor Estimation Using Motion Data. GlobalSIP Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2019	J	`jnl`	Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. Entropy Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
2019	J	`jnl`	Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. CoRR Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
2019	—	`conf`	Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. EMBC Prasanth Ganesan, Zhiyun Xue, Sanjana Singh, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
2019	—	`conf`	Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. BHI Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2019	J	`jnl`	Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. Sensors Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
2018	—	`conf`	Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. EMBC Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani
2018	—	`conf`	Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. CinC Prasanth Ganesan, Hussein Zilouchian, Elizabeth Cherry, Arkady M. Pertsov, Behnaz Ghoraani
2018	J	`jnl`	Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. CoRR Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani
2017	J	`jnl`	Developing a novel epileptic discharge localization algorithm for electroencephalogram infantile spasms during hypsarrhythmia. Medical Biol. Eng. Comput. Supachan Traitruengsakul, Laurie E. Seltzer, Alex R. Paciorkowski, Behnaz Ghoraani
2017	—	`conf`	Parkinson's disease medication state management using data fusion of wearable sensors. BHI Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani
2017	B	`conf`	Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. CBMS Prasanth Ganesan, Kristina E. Shillieto, Behnaz Ghoraani
2016	—	`conf`	A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. EMBC Anthony J. Salmin, Prasanth Ganesan, Kristina E. Shillieto, Elizabeth M. Cherry, David T. Huang, Arkady M. Pertsov, Behnaz Ghoraani
2016	Misc	`conf`	A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani
2016	—	`conf`	Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. EMBC Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani
2016	—	`conf`	Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. EMBC Kristina E. Shillieto, Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Arkady M. Pertsov, Behnaz Ghoraani
2016	J	`jnl`	Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization. EURASIP J. Adv. Signal Process. Behnaz Ghoraani
2016	—	`conf`	Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array. EMBC Erik Messier, Behnaz Ghoraani
2016	—	`conf`	Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. EMBC Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Behnaz Ghoraani
2016	—	`conf`	Development of data acquisition components for simultaneous recording of 3D epicardial and surface ECG signals in the langendorff perfusion apparatus. EMBC Ryan Wade Selby, Anup Jonchhe, Chen Kaplan, Coeli M. Lopes, Behnaz Ghoraani
2016	—	`conf`	Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis
2015	—	`conf`	Automatic localization of epileptic spikes in eegs of children with infantile spasms. EMBC Supachan Traitruengsakul, Laurie E. Seltzer, Alex R. Paciorkowski, Behnaz Ghoraani
2015	J	`jnl`	Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation. Comput. Math. Methods Medicine Mark Sterling, David T. Huang, Behnaz Ghoraani
2015	J	`jnl`	Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity. Biomed. Signal Process. Control. Steven Ladavich, Behnaz Ghoraani
2015	J	`jnl`	Structure-Constrained Basis Pursuit for Compressed Sensing. CoRR Miguel Domínguez, Behnaz Ghoraani
2014	—	`conf`	Analysis of cochlear implant artifact removal techniques using the continuous wavelet transform. EMBC Daniel Sinkiewicz, Lendra Friesen, Behnaz Ghoraani
2014	—	`conf`	Developing an atrial activity-based algorithm for detection of atrial fibrillation. EMBC Steven Ladavich, Behnaz Ghoraani
2014	—	`conf`	Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy. EMBC Mark Sterling, David T. Huang, Behnaz Ghoraani
2013	J	`jnl`	Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
2012	—	`conf`	Characterization of fractionated electrograms using a novel time-frequency based algorithm. EMBC Behnaz Ghoraani, Sridhar Krishnan, Vijay S. Chauhan
2012	J	`jnl`	Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. EURASIP J. Adv. Signal Process. Behnaz Ghoraani, Sridhar Krishnan
2011	—	`conf`	Audio scene analysis using parametric signal features. CCECE Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan
2011	—	`conf`	Hardware-software analysis of pole model features. CCECE Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan
2011	—	`conf`	Telephone-quality pathological speech classification using empirical mode decomposition. EMBC M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
2011	J	`jnl`	Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. IEEE Trans. Speech Audio Process. Behnaz Ghoraani, Sridhar Krishnan
2010	J	`jnl`	Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking. EURASIP J. Adv. Signal Process. Karthikeyan Umapathy, Behnaz Ghoraani, Sridhar Krishnan
2010	Misc	`conf`	Discriminative base decomposition for time-frequency matrix decomposition. ICASSP Behnaz Ghoraani, Sridhar Krishnan
2009	J	`jnl`	A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification. EURASIP J. Adv. Signal Process. Behnaz Ghoraani, Sridhar Krishnan
2009	—	`conf`	Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis. DPS Behnaz Ghoraani, Sridhar Krishnan, Raja J. Selvaraj, Vijay S. Chauhan
2006	—	`conf`	Chirp-Based Image Watermarking as Error-Control Coding. IIH-MSP Behnaz Ghoraani, Sridhar Krishnan
2006	A	`conf`	Discrete Polynomial Transform for Digital Imagewatermarking Application. ICME Lam Le, Sridhar Krishnan, Behnaz Ghoraani

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.