Transparent, Distributed, and Replicated Dynamic Provable Data Possession. - Mohammad Etemad; Alptekin Küpçü (IACR Cryptol. ePrint Arch., 2013)

Database Outsourcing with Hierarchical Authenticated Data Structures. - Mohammad Etemad; Alptekin Küpçü (IACR Cryptol. ePrint Arch., 2015)

Efficient Key Authentication Service for Secure End-to-end Communications. - Mohammad Etemad; Alptekin Küpçü (IACR Cryptol. ePrint Arch., 2015)

Generic Efficient Dynamic Proofs of Retrievability. - Mohammad Etemad; Alptekin Küpçü (IACR Cryptol. ePrint Arch., 2015)

Reliable Cloud Storage using Hierarchical Authenticated Data Structures (Hiyerarşik Asıllamalı Veri Yapılarıla Güvenilebilir Bulut Hizmetleri) - Mohammad Etemad (2015)

Using elected coordination stations for CSI feedback on CoMP downlink transmissions. - Baha Uddin Kazi; Mohammad Etemad; Gabriel A. Wainer; Gary Boudreau (SPECTS, 2016)

Signaling overhead and feedback delay reduction in heterogeneous multicell cooperative networks. - Baha Uddin Kazi; Mohammad Etemad; Gabriel A. Wainer; Gary Boudreau (SPECTS, 2016)

A Generic Dynamic Provable Data Possession Framework. - Mohammad Etemad; Alptekin Küpçü (IACR Cryptol. ePrint Arch., 2016)

Are You Really My Friend? Efficient and Secure Friend-Matching in Mobile Social Networks. - Mohammad Etemad; Filipe Beato; Alptekin Küpçü; Bart Preneel (EuroS&P Workshops, 2017)

Using DEVS for modeling and simulating a Fog Computing environment. - Mohammad Etemad; Mohammad Aazam; Marc St-Hilaire (ICNC, 2017)

Modeling Coordinated Multipoint with a dynamic Coordination Station in LTE-A mobile networks. - Gabriel A. Wainer; Mohammad Etemad; Baha Uddin Kazi (ICNSC, 2017)

Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

Transportation Modes Classification Using Feature Engineering. - Mohammad Etemad (CoRR, 2018)

On feature selection and evaluation of transportation mode prediction strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2018)

Optimizing Trees for Static Searchable Encryption. - Mohammad Etemad; Mohammad Mahmoody; David Evans 001 (IACR Cryptol. ePrint Arch., 2018)

Verifiable database outsourcing supporting join. - Mohammad Etemad; Alptekin Küpçü (J. Netw. Comput. Appl., 2018)

Robust image watermarking scheme using bit-plane of hadamard coefficients. - Elham Etemad; Shadrokh Samavi; S. M. Reza Soroushmehr; Nader Karimi; Mohammad Etemad; Shahram Shirani; Kayvan Najarian (Multim. Tools Appl., 2018)

Efficient Dynamic Searchable Encryption with Forward Privacy. - Mohammad Etemad; Alptekin Küpçü; Charalampos Papamanthou; David Evans 001 (Proc. Priv. Enhancing Technol., 2018)

A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Arazoo Hoseyni; Jordan Rose; Stan Matwin (EDBT/ICDT Workshops, 2019)

On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin; Luís Torgo (EDBT/ICDT Workshops, 2019)

VISTA: A visual analytics platform for semantic annotation of trajectories. - Amílcar Soares Júnior 001; Jordan Rose; Mohammad Etemad; Chiara Renso; Stan Matwin (EDBT, 2019)

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. - Iraklis Varlamis; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (EDBT/ICDT Workshops, 2019)

Verifiable dynamic searchable encryption. - Mohammad Etemad; Alptekin Küpçü (Turkish J. Electr. Eng. Comput. Sci., 2019)

Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. - Mohammad Etemad; Zahra Etemad; Amílcar Soares Júnior 001; Vania Bogorny; Stan Matwin; Luís Torgo (Canadian AI, 2020)

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. - Mohammad Etemad; Nader Zare; Mahtab Sarvmaili; Amílcar Soares Júnior 001; Bruno Brandoli Machado; Stan Matwin (Canadian AI, 2020)

Uncovering vessel movement patterns from AIS data with graph evolution analysis. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares Júnior 001; Mohammad Etemad; Bruno Brandoli Machado; Stan Matwin (EDBT/ICDT Workshops, 2020)

Proof of Storage-Time: Efficiently Checking Continuous Data Availability. - Giuseppe Ateniese; Long Chen 018; Mohammad Etemad; Qiang Tang 005 (IACR Cryptol. ePrint Arch., 2020)

Anomaly Detection in Maritime Domain based on Spatio-Temporal Analysis of AIS Data Using Graph Neural Networks. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (ICVISP, 2021)

Generic Dynamic Data Outsourcing Framework for Integrity Verification. - Mohammad Etemad; Alptekin Küpçü (ACM Comput. Surv., 2021)

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. - Mohammad Etemad; Amílcar Soares Júnior 001; Elham Etemad; Jordan Rose; Luís Torgo; Stan Matwin (GeoInformatica, 2021)

Building navigation networks from multi-vessel trajectory data. - Iraklis Varlamis; Ioannis Kontopoulos; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (GeoInformatica, 2021)

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification. - Dogan Altan; Mohammad Etemad; Dusica Marijan; Tetyana Kholodna (Canadian AI, 2022)

Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (IEEE Big Data, 2022)

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (SEBD, 2022)

Understanding evolution of maritime networks from automatic identification system data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (GeoInformatica, 2022)

Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (IEEE Big Data, 2023)