Saeid Alireza Zadeh

Short bio

Saeid Alireza Zadeh. Completed the Doutoramento in Matemática in 2011 by Universidade do Porto Faculdade de Ciências. Is Auxiliary Researcher in Instituto Politécnico de Leiria. Published 11 articles in journals. Has 1 section(s) of books. Has received 1 award and/or honors. Works in the area(s) of Exact Sciences with emphasis on Mathematics with emphasis on Pure Mathematics, Exact Sciences with emphasis on Computer and Information Sciences with emphasis on Computer Sciences and Natural Sciences with emphasis on Biological Sciences with emphasis on Ecology. He is working on optimizing the performances of automated and unmanned vehicles used in fruit harvesting by reducing the localization and coordination errors, which are improvements on the adaptation of Project DBoidS "https://sciproj.ptcris.pt/171663PRJ" (PTDC/CCI-COM/2416/2021); developing strategies and metrics for optimizing dynamic task allocation in robotic network cloud systems; developing sensorless motion planning without collisions in deterministic environments; developing motion planning without collisions in dynamic environments; and developing a fast and efficient method to estimate the weights in training neural networks

Latest Journals Publications

Q2

Alirezazadeh, Saeid, and Luís A. Alexandre. “Ordered Balancing: Load Balancing for Redundant Task Scheduling in Robotic Network Cloud Systems.” Cluster Computing, April 28, 2023. https://doi.org/10.1007/s10586-023-04013-x.

2023
Q1

Alirezazadeh, Saeid, and Luís A. Alexandre. “Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems.” IEEE Transactions on Parallel and Distributed Systems, 2023, 1–11. https://doi.org/10.1109/tpds.2023.3267293.

2023
Q1

Alibabaei, Khadijeh, Pedro D. Gaspar, Eduardo Assunção, Saeid Alirezazadeh, and Tânia M. Lima. “Irrigation Optimization with a Deep Reinforcement Learning Model: Case Study on a Site in Portugal.” Agricultural Water Management 263 (April 2022): 107480. https://doi.org/10.1016/j.agwat.2022.107480.

2022
... more papers on [cienciavitae.pt]

Latest Conference Publications

--

Lopes, Vasco, Saeid Alirezazadeh, and Luís A. Alexandre. “EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search.” Artificial Neural Networks and Machine Learning – ICANN 2021, 2021, 552–63. https://doi.org/10.1007/978-3-030-86383-8_44.

2021
--

Alirezazadeh, Saeid, Luis Borda-De-Agua, Paulo Borges, Rosalina Gabriel, Francisco Dionisio, Henrique M. Pereira, and Pedro Cardoso. “Theoretical Approach for How Species Abundance Distributions Change Across Scales*.” 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), June 2018. https://doi.org/10.1109/controlo.2018.8514272.

2018
... more papers on [cienciavitae.pt]

Latest R&D Projects

... more projects on [cienciavitae.pt]