INFORMATION SCIENCE & ENGG.
DEPARTMENT HIGHLIGHTS

The department has highly qualified and competent faculty members who are very strong in their area of expertise. Many faculty members are involved in research and pursuing their Doctorate (PhD). Successful implementation of Outcome Based ...

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VISION, MISSION, OBJECTIVE & OUTCOMES

To build a strong research and teaching environment in the field of Information Technology to meet the ever evolving global needs and to equip students with the latest knowledge, skills and practical orientation ...

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PROJECT HIGHLIGHTS

This project aims at virtualization of currency supported by finger print authentication in place of Credit cards & ATM/Debit cards. We assure them a secured cloud service for all the transactions which will be updated in real time ...

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Research Activities

Areas of Expertize
  • Internet of Things (IoT)
  • Parallel Computing
  • Hybrid Computing
  • Cloud Computing
  • Grid Computing
  • Performance Modelling
  • Data Mining
  • Network Security
     
 
     
 
     

The students and faculty are actively involved in research activities. Some of the important projects are:

  Enabling cloud for HPC Applications
  Hybrid Computing GPU-CPU Programming
  Power Aware Computing
  Profit Driven Cloud Brokerage
  Agri-cloud
  Edu-cloud
     
     

Enabling Cloud for HPC Applications

The project goal is to build a framework which enables the cloud for executing HPC (High Performance Computing) application efficiently. The objective is to build scheduling strategies to schedule HPC applications keeping SLAs in mind. The framework comprises of strategies for better VM placement and for reducing performance degradation. The framework also has a strategy to achieve data locality in cloud environment for I/O intensive applications.


Hybrid Computing GPU-CPU Programming

HPC (High Performance Computing) applications need more computing power. To produce such computing power we need high end hardware. Systems having both multicore CPUs and accelerators like GPUs are widely adopted in HPC. The popularity of such heterogeneous architectures is largely due to the need for both high performance and power efficiency. The main issue here is porting complex applications to hybrid architectures (CPU-GPU). In this context, we are developing a framework which schedule the HPC applications on multi CPU/Cores and on GPUs. The applications are built using combinations of different parallel programming libraries like MPI/OpenMP/CUDA/OpenACC.


Profit Driven Cloud Brokerage

Cost effectiveness is one of the reasons behind the popularity of Cloud. Effective resource utilization reduces cost and resource wastage. In this project, the team at NMIT builds, implements and tests a profit driven framework which dynamically predicts the application’s requirement and then configures and scales the VM to suit the application requirement.


Agri-cloud

Information Technology is not utilized much in the agriculture sector. In this sector, few Data Mining techniques have been used for predicting crop yield. With this in mind, we propose a cloud based framework to provide information as a service to farmers, agricultural experts and agro industries. The framework will be able to predict/estimate crop, fertilizer, pesticide etc. by considering agricultural parameters such as soil parameters, crop parameters etc. The framework will analyze and classify agricultural data sets like soil, climate conditions, etc. The information will be provided to the end users through devices like the mobile phone, Kiosk and PC.


Edu-cloud

Educational Systems in India are evolving and attempting to make efficiently utilize resources by adopting current trends in IT like Cloud Computing. This project aims at providing a platform for students and researchers to explore the possibilities of Cloud Technology. The project provides access to a self-designed and self-provisioned Private Community Cloud called as “Educloud”, which provides software, computing infrastructures, platforms as services and Storage as a Service. “Educloud” provides software, computational resources and reserved storage space through internet access. Thus, eliminating the need of redundant data storage and processing. To end result would be to make education more simple, efficient and effective.


Funded Projects

Title of the project

Sponsoring Agency

Cost

Framework for Dynamic Resource allocation and efficient scheduling Strategies to Enable cloud for HPC Applications

Department of Information Technology, New Delhi

15.26 Lakhs

Efficient Searching Framework for large scale databases on distributed environment(For KPTCL and load dispatch Center)

VGST, Govt of Karnataka

4 Lakhs

Educational Cloud: Cloud based learning platform

VTU

5.6 Lakhs

Development of a Software to Demonstrate “DO IT YOURSELF RWH tool”

UNESCO, KSCST

1.5 Lakhs

Prototyping Smart Water Tanks

VOICE NGO, Delhi.

5 Lakhs

Call Manager

JNCASR

0.5 Lakh

Indian Sign Language Translator Gloves

TEQIP

0.5 Lakh

NMIT Wheel : Mono Wheel self-balancing skate board

TEQIP

0.75 Lakh

Balancing of Web Application workload using Hybrid Computing (CPU-GPU with CUDA architecture)

TEQIP

1 Lakh

Intrusion Detection using Data Mining Technique

TEQIP

0.5 Lakh

SMOG- AIR POLLUTION CONTROLLER

IEDC

1 Lakh

πPad- The NXT gen tab with booting feature

IEDC

1 Lakh

Solutions to Back Door Viruses

IEDC

1 Lakh

NODU Project

IEDC

1 Lakh

IPay

IEDC

1 Lakh




Ph.D Registrants

Name

University

Area/Abstract

Research Supervisor

Ms.Ashwini.J.P

VTU

Framework for Dynamic Resource Allocation & Efficient Scheduling Strategies to Enable Cloud for HPC Applications

Dr. Sanjay.H.A

Mr. Mohan Murthy

VTU

Profit Driven Framework for Provisioning Resources to User Applications in Cloud Environment

Dr. Sanjay.H.A

Mr. Karunakar Rai

VTU

Fault Tolerant Systems

Dr. Shantaram Rai

Mr. K. Aditya. Shastry

VTU

Framework for Predictive Mining of Agricultural Data on Cloud Environment

Dr. Sanjay.H.A

Ms.Vidyadevi Biradar

VTU

Efficient Image Analysis Techniques for Biometric Systems

Dr. H. Sarojadevi, Dr H.C.Nagaraj

Mr. Chandrashekar BN

VTU

Performance Driven Framework for High Performance Computing application on CPU-GPU Hybrid Platform

Dr. Sanjay.H.A

Mr. Manjunatha B A

VTU

An Anomaly Based Approach for Network Intrusion Detection using Data Mining Methods

Dr. PrasantaGogoi

Mr. Rohith H P

VTU

Text Normalization in Kannada Language for Text to Speech Synthesis System

Dr. PrasantaGogoi

Ms.Deepika K M

VTU

Sensitivity Based Framework to Secure user Data in Hybrid Cloud

Dr. Sanjay.H.A

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