Non-uniform distribution of multi-hop sensor networks: performance improvement and energy hole mitigation. - Ali Mahani 001; Amin Kargar 001; Yousef Seifi Kavian; Habib F. Rashvand (IET Wirel. Sens. Syst., 2012)

A novel anchor-based localization method. - Amin Kargar 001; Ali Mahani 001 (CSNDSP, 2016)

Accurate 3D-Tracking System for Wireless Indoor Personal Positioning. - Mahsa Asadi; Shabnam Sadeghi; Amin Kargar 001; Ali Mahani 001 (CSNDSP, 2018)

Obstacle-resistant hybrid localisation algorithm. - Amin Kargar-Barzi; Ali Mahani 001 (IET Wirel. Sens. Syst., 2020)

H-V scan and diagonal trajectory: accurate and low power localization algorithms in WSNs. - Amin Kargar-Barzi; Ali Mahani 001 (J. Ambient Intell. Humaniz. Comput., 2020)

A Novel Resource-Constrained Insect Monitoring System based on Machine Vision with Edge AI. - Amin Kargar 001; Mariusz P. Wilk; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn (IPAS, 2022)

A novel component mixing and mixed redundancy strategy for reliability optimization. - Saeideh Sheikhpour; Amin Kargar-Barzi; Ali Mahani 001 (Int. J. Syst. Assur. Eng. Manag., 2022)

Technological Innovations in Agriculture for Scouting Halyomorpha Halys in Orchards. - Lennart Almstedt; Davide Baltieri; Francesco Betti Sorbelli; Davide Cattozzi; Daniele Giannetti; Amin Kargar 001; Lara Maistrello; Alfredo Navarra; David Niederprüm; Brendan O'Flynn; Lorenzo Palazzetti; Niccolò Patelli; et al. (DCOSS-IoT, 2023)

CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. - Amin Kargar-Barzi; Ebrahim Farahmand; Ali Mahani 001; Muhammad Shafique 001 (CoRR, 2023)

Y-Net: Insect Counting and Segmentation using Deep Learning on Embedded Devices. - Amin Kargar 001; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (I2MTC, 2024)

An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. - Amin Kargar-Barzi; Ebrahim Farahmand; Nooshin Taheri-Chatrudi; Ali Mahani 001; Muhammad Shafique 001 (IEEE Access, 2024)

Detecting Halyomorpha halys using a low-power edge-based monitoring system. - Amin Kargar 001; Dimitrios Zorbas; Salvatore Tedesco; Michael T. Gaffney; Brendan O'Flynn (Comput. Electron. Agric., 2024)

Concept Drift Mitigation on Resource-Constrained IoT Devices via Self-Learning. - Amin Kargar 001; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (SAS, 2025)

Tiny deep learning model for insect segmentation and counting on resource-constrained devices. - Amin Kargar 001; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (Comput. Electron. Agric., 2025)

Self-Supervised Incremental Learning for Insect Segmentation and Counting on Resource-Constrained Devices. - Amin Kargar 001; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (IEEE Internet Things J., 2026)