Artificial Intelligence Lab

Equipment List
Sl.NoName of Equipment
1HP Proliant ML 110 Intel Xenon (R) CPU 32 GB RAM 2 TB HDD
2HP Elite Desk 800 G4 WKS TWR Intel Core (TM) I5-8500 3.00 GHZ Processor, 16 GB RAM 1TB HDD, 16 GB NVIDA GeForce GTX 1660, IPS Display, HP -keyboard and mouse
3HP 280 G2 Intel Pentium i5 CPU 8GB RAM 1 TB HDD, HP keyboard, HP - keyboard, mouse and monitor
4HP Elite 8300 Intel Pentium i5 CPU core 2 duo 8GB RAM 500 GB HDD, HP - keyboard, mouse and monitor
5Dell OptiPlex E6550 Intel core 2 Duo CPU 2.33GHZ 4GB RAM  160GB HDD DVD ROM
6Nvidia Jetson Nano kit
7D-Link DGS-1024 24 Port  10/100/1000 Unmanaged Switch
8HP Laser jet printer 1022
Software
  • Ubuntu OS
  • NVidia AI/Deep Learning Software / Libraries
  • Muclipse 1.3
  • Junit 4.3
  • EclEmma Code Coverage 3.1.1
Capabilities
  • AI research applications
  • Optimal Scheduling Algorithms 
  • Path Planning Algorithms 
  • Parallel Programming
  • Data Security algorithms 
  • Learning Analytics
Target users
UG/PG/Ph.D. students and Faculty
Work done
  • Security framework for remote data storage using applied Cryptography
  • Simulation and Modeling of Novel devices using Machine Learning techniques
  • Machine Learning algorithms for Network Security
  • Tool development to assist visually impaired persons
  • Multi agent applications for different types of environment
  • Edge Intelligence – Health care services
No. of Journals:30
No. of Conferences:35
No. of Ph.D Produced:1
No. of Ph.D Registered:1
Sponsored Projects
Sl.NoTitleSponsoring Agency
1Modeling and Optimizing a Multi Hypotheses Target Tracker for Maneuvering Targets in Clutter using Evolutionary and High Performance Computing TechniquesAICTE
2International Virtual Laboratory on MechatronicsEUIECCP
3Intelligent Algorithmic Approach for Mobile Robot Navigation in an Indoor EnvironmentCSI
4Design of Parallel Scheduling Algorithms for Cluster Computing EnvironmentCSI
5Design of Masquerader Detection Systems for Information SecurityCSI
6NVIDIA Jetson 2 GB Nanokit Grant for Designing and developing Edge-AI ApplicationsNVIDIA
Inustry Interface
  • Honeywell
  • IBM
  • NVIDIA
  • Kyndryl
  • Dataever Consulting
People
  • Dr. M Suguna
  • Dr. R Leena Sri

 

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