Mohammad Javad Poursharifi was born in 1971 in Ray City, Iran. He obtained his B.Sc. (1994) from Kharazmi University, Tehran. He then completed his M.Sc. studies in Organic Chemistry (2008) from Islamic Azad University, Saveh Branch, Iran. Currently, he is working towards his Ph.D. under the supervision of Professor Mohammad Majid Mojtahedi and Professor Mahmood M. Hashemi at Islamic Azad Unive...

Jobs in modern parallel-computing frameworks, such as Hadoop and Spark, are subject to several constraints. In these the data typically distributed across a cluster of machines is processed multiple stages. Therefore, tasks that belong same stage (job) have collective completion time determined by slowest task collection. Furthermore, task’s processing machine dependent, each capable at its cap...

Javad Afsar was born in 1988 in Hamedan, Iran. He obtained his B.Sc. (2011) and M.Sc. in Organic Chemistry (2013) from Bu-Ali Sina University, Hamedan, Iran. Currently, he is working towards his Ph.D. under the supervision of Prof. Mohammad Ali Zolfigol and Prof. Ardashir Khazaei at the same university. His research involves design, Synthesis and applications of new catalyst in organic synthesis.

Javad Afsar was born in 1988 in Hamedan, Iran. He obtained his B.Sc. (2011) and M.Sc. in Organic Chemistry (2013) from Bu-Ali Sina University, Hamedan, Iran. Currently, he is working towards his Ph.D. under the supervision of Prof. Mohammad Ali Zolfigol and Prof. Ardashir Khazaei at the same university. His research involves design, Synthesis and applications of new catalyst in organic synthesis.

With the availability of low-cost, mass-market dual-frequency GNSS (Global Navigation Satellite System) receivers, standalone processing methods such as Precise Point Positioning (PPP) are no longer restricted to geodetic-grade equipment only. However, with cheaper equipment, data quality is expected degrade. This same principle also affects low-cost antennas, which usually suffer from poorer m...

Tayebeh Mostajabi, Javad Poshtan Abstract— A central topic of swarm intelligence is the investigation of different types of emergent collective behaviors in swarms. This article focus on the swarm intelligence applications in control and system identification. Particle swarm optimization (PSO), a novel population based stochastic optimizer with fast convergence speed and simple implementation a...