ORCID as entered in ROS

Select Publications
2005, 'Identification and modification of improper load data used in short- term load forecasting', in 2005 IEEE Russia Power Tech Powertech, http://dx.doi.org/10.1109/PTC.2005.4524554
,2002, 'Short term load forecasting for Iran national power system using artificial neural network and fuzzy expert system', in Powercon 2002 2002 International Conference on Power System Technology Proceedings, pp. 1082 - 1085, http://dx.doi.org/10.1109/ICPST.2002.1047567
,2001, 'Short term load forecasting of Iran national power system using artificial neural network', in 2001 IEEE Porto Power Tech Proceedings, pp. 361 - 365, http://dx.doi.org/10.1109/PTC.2001.964937
,2023, Apparatus and Process for Monitoring Network Behaviour of Internet-of-Things (IoT) Devices, United States, Patent No. U.S. Patent No. 11,743,153, https://patents.google.com/patent/US11743153B2
,2023, A Network Device Classification Apparatus and Process, Patent No. U.S. Patent No. 11,570,070, https://patents.google.com/patent/US20220086071A1
,2022, Process and Apparatus for Identifying and Classifying Video-Data, Patent No. U.S. Patent No. 11,418,420, https://patents.google.com/patent/US11418420B2
,2022, Apparatus and Process for Detecting Network Security Attacks on IoT Devices, Patent No. U.S. Patent No. 11,374,835, https://patents.google.com/patent/US11374835B2
,2024, Characterizing Payload Types in MUD Flows for Enhanced Security Management of IoT Assets, IEEE TechRxiv, http://dx.doi.org10.36227/techrxiv.173202504.45430134/v1, https://doi.org/10.36227/techrxiv.173202504.45430134/v1
,2023, Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks, arXiv, 2301.06695v2, http://dx.doi.org10.48550/arXiv.2301.06695, https://arxiv.org/pdf/2301.06695
,2022, AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks, arXiv, ARTN 102801, http://dx.doi.org10.1016/j.cose.2022.102801, https://arxiv.org/pdf/2203.09792.pdf
,2021, Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation, arXiv, http://dx.doi.org10.48550/arXiv.2112.02637, https://arxiv.org/pdf/2112.02637.pdf
,2021, Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus, https://arxiv.org/pdf/2104.10667.pdf, http://dx.doi.org, https://arxiv.org/pdf/2104.10667.pdf
,2021, Comparing Broadband ISP Performance using Big Data from M-Lab, https://arxiv.org/pdf/2101.09795.pdf, http://dx.doi.org, https://arxiv.org/pdf/2101.09795.pdf
,2020, HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors, https://arxiv.org/pdf/2005.13745.pdf, http://dx.doi.org, https://arxiv.org/pdf/2005.13745.pdf
,2019, Estimating Residential Broadband Capacity using Big Data from M-Lab, arXiv, https://arxiv.org/pdf/1901.07059.pdf, http://dx.doi.org, https://arxiv.org/pdf/1901.07059.pdf
,2024, Characterizing Payload Types in MUD Flows for Enhanced Security Management of IoT Assets, http://dx.doi.org/10.36227/techrxiv.173202504.45430134/v1
,2024, Decoding Behavioral Patterns and Sequence Dynamics in IoT Traffic with Deep Learning, http://dx.doi.org/10.36227/techrxiv.173202912.23807435/v1
,2024, Systematic Verification of IoT Device Conformance to IETF Manufacturer Usage Description Standard, http://dx.doi.org/10.36227/techrxiv.172054933.38594592/v1
,2021, Submission on Australia’s cyber security regulations and incentives, Elsevier, http://dx.doi.org/10.2139/ssrn.4066114
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