• High Performance Computing Lab (HPC)
  • Wireless Communication Lab
  • IoT and Advanced Wireless Communication Lab
  • Mobile Android Lab
  • AI and NLP Lab
  • Network Security Protocol Lab
  • Side Channel Analysis Lab

Wireless Communications Lab

Mathematics and Statistics

Wireless Communication lab is established with state-of-the art facilities and supporting infrastructure. The lab is designed to provide a platform in research and development areas of wireless communications technologies like 2G-GSM, 4G-LTE, VoLTE and Wi-Fi to provide ubiquitous access to wired and wireless resources for mobile and wireless multimedia users. This lab's research involves physical and Media Access Control (MAC) layers of telecommunications systems, test-bed setup of communications technologies, rogue base station and mobile stations set up, protocol analyzer, analysis of securities vulnerabilities, Sniffers, scanners & trackers and signal processing, with a primary focus on security analysis of wireless communication systems.

High Performance Computing Facility

100 Teraflop system (CPU+GPU) with 100TB HPS Storage

Workstation (GPU) Tyrone Systems DS400TG-48R

  • Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz x 2
  • 64 Logical CPUs
  • 128GB DDR4 ECC UnRegistered 2666MHz (Max 256GB, 12 DIMMS)
  • 1 x 480GB Datacenter grade 2.5" SSD
  • SATA3 (6Gbps); RAID 0, 1, 5, 10
  • 4 x 4TB Enterprise SATA 7.2K RPM HDD
  • 4 x GEFORCE RTX 2080 Ti 11GB GDDR6
  • 2 RJ45 10GBase-T port

Advanced Wireless Communication System Lab (AWCS)

Advanced Wireless Communication System Lab (AWCS) includes next generation technologies like 5G and IoT. It will cover design and verification of the concepts of modern wireless communication systems that operates in MHz-THz range. The main focus of the Advanced WCS Lab is to analyze next-generation wireless technologies and mobile computing systems. Research into various types of wireless communication networks can be conducted in this lab: Machine-to-Machine (M2M) communications, cellular networks, relaying, cognitive radio, heterogeneous networks, 5G wireless communications. Specific challenges that are of interest are on security, privacy, software-defined networking, Cognitive radio, spectrum sharing, key management, and BER analysis.

Machine Learning and Artificial Intelligence Facility

The equipment can be used to apply Artificial Intelligence techniques for security analysis and to generate advanced tools. Various tools will be automated that can extract intelligence and hidden patterns using Deep Learning models like Generative Adversarial Networks, Auto encoders, ensemble Networks etc.