This lab supports research projects in a broad range of topics in computer
networks including network protocols and architectures, cellular networks (4G, LTE, 5G), vehicular
networks, realtime communications, mission critical applications, wireless networks, sensor
networks, and Internet of Things (IoT).
In particular, we study the Next Generation Networks (NGN) and their applications in this Lab. We focus on upcoming fifth generation (5G) of mobile communication systems that impact our lives more than any other wireless technology in the past. It will open a new horizon in the markets such as Industry 4.0, transportation, smart grids, and E-health.
We exploit key technologies, e.g., Network Coding, to meet the 5G goals. Moreover, in this lab, we develop our collaboration with Iranian industries to understand their challenges and respond to their needs.
The Bioinformatics Laboratory at IASBS was established in 2014. Research in this laboratory focuses
on Biological data mining, machine learning, biological data and knowledge fusion by developing of
methods and tools in several subsets.
Structural bioinformatics is one of the important subsets of bioinformatics related to the prediction and comparison of biological structures. At the bioinformatics lab at IASBS, reseachers are working on several of related problems, including protein structural classification, protein functional site and residue depth prediction.
High-Throughput analysis including gene expression analysis is an another subset which reserachers are working on in this laboratory. The research in this area is followed by statistical and machine learning methods to provide more accurate mathematical models.
After preliminary studies and gaining experience via cooperation with other universities in
different research areas in computational geometry and related problems in robot motion planning, we
founded the Robotics and Computational Geometry Research Lab (RoboCG) at IASBS in 2012, which
coincided with the third international conference on Contemporary Issues in Computer and
Information Sciences (CICIS12).
RoboCG lab strives to be a leading developer of mathematical tools and algorithms for computational geometry and motion planning of robots, visualization, simulation, optimization, and theoretical analysis of algorithms -- thereby, supporting the virtual production and simulation. In particular, the lab endeavors to provide the most efficient path planning technology for the widest range of applications in relation to autonomous robot navigation. The total of seven thousand dollars for the lab equipment was granted by Dr. Hassan Alizadeh, the manager of the Information Technology and Digital Media Center to implement the national master plan for rating digital products.
Artificial Intelligence (AI) is a branch of Computer Science concerned with making computers behave
like humans. The term was coined in 1956 by John McCarthy at the Massachusetts Institute of
Technology. Artificial intelligence aims to understand the nature of intelligence and to engineer
systems that exhibit such intelligence by utilizing vision, language, and knowledge. The resultant
knowledge has diverse applications particularly for designing and developing humanoid robots.
The objective of the AI lab is to identify and develop technologies to enable computers to learn, think, see, and understand the scenes like humans, communicate with human beings, and self-monitor/protect their systems. More specifically, we focus on:
Developed by the IASBS Computer Center