Interdisciplinary

Broad domain – Electronics and Computer Science Engineering

Focused domain – Arduino Board Programming, Raspberry Pi, FPGA, Networking

The present invention discloses a mobile phone which always remains traceable as it cannot be switched OFF by an unauthorized user. The same is achieved using a fingerprint sensor and a fingerprint scanner fixed in the power button itself and the moment when a phone is stolen and if it is already put in the theft alarm mode, the device starts comparing the fingerprints. In the case of mismatch in the fingerprint, the phone goes into sleep mode, where the content(s) /contact(s) are not shown to anybody else and the phone will send all contact details to a centralized server(s)/ alternate phone(s). Also, the burglar cannot switch OFF/ON the mobile, the location details will be sent to the nearest police station without the burglar’s knowledge. If the device is not found in the stipulated time then all content(s)/contact(s) are deleted automatically making backup available on the server. The mobile service provider(s) can be requested to give a dedicated server to store data in case of stolen mobile devices.

No. of intern positions available in the project – 2.

Principal Investigator:

Dr K.R. Ramkumar

Funding- Internal        Project Start Date - 01/11/2017

Broad domain – Computer Science and Engineering

Focused domain – Network Security, Key management, Abstract

The proposal works on Key management for Mobile Ad hoc networks by using Numerical methods. A complete framework that executes key issue and key revocation for a secure way of communication is proposed. The numerical methods have a high impact on distributed key management which is essential for Mobile Ad hoc Networks, in particular, the Newton’s, Lagrange’s, curve fitting and Chebyshev polynomials are more suitable. The proposal gives a complete security framework for Mobile Ad hoc Networks.

No. of intern positions available in the project – 

Principal Investigator:

Dr K.R. Ramkumar

Funding- Internal        Project Start Date - 01/11/2017

Broad domain – Computer Science and Engineering, Electronics Engineering

Focused domain – FPGA, Number TheoryAbstract

1. Number Theory Basic concepts

2. Security Standards and Algorithms

3. Polynomials and Key Management

4. Cryptanalysis

5. Introduction to Hardware implementation of Network Security algorithms

6. Introduction to FPGA

7. ASIC Design Flow

8. Designing of VHDL/Verilog Code for Network Security Algorithm

9. Simulation of Code on ISE Project Navigator (Xilinx Software)

10. Hardware implementation of code on Artix-7 FPGA kit

No. of intern positions available in the project – 3

Principal Investigator:

Dr K.R. Ramkumar

Funding- Internal        Project Start Date - 01/11/2017

Broad domain – Medical Image Processing

Focused domain – Pre-processing, Classification of histopathological images as benign and malignant

Cancer is a foremost reason of death across the world. The most common cancers are ­of lung, liver, colorectal, stomach and breast. Histopathology is the process of microscopic examination and detailed analysis of a sample of the biopsy by a pathologist for studying the cancer growth. The input to the system will be a collection of histopathological images of tissue. The pre-processing of an image will be performed in order to enhance the quality of the image. Subsequently, the object of interest will be segmented. The useful features will be extracted and selected for further processing. After the extraction of the selected features, the suspicious regions will be classified as benign/malignant. Finally, the performance of proposed method will be compared with the other state of art methods. The outcome of the proposed work will be an automated cancer diagnosis system which would definitely be an aid for experienced pathologists by providing a second opinion for effective diagnosis in order to avoid false decisions.

No. of intern positions available in the project – 1

Principal Investigator:

Dr Deepika Koundal

Funding- Internal        Project Start Date - 01/11/2017

Broad domain – Automobile Engineering, Power management, Image Processing, Machine Vision, Processor implementations, Machine Intelligence/Learning, Rural business, rural community sales and marketing, 3-D vision processing

Focused domain – Image Processing and Farm mechanization

Autofisker is a clean energy driven vehicle for traversing the farm without disturbing the crops. The vehicle is autonomous and offers multiple farm mechanization activities like zero tillage and crop planting. Further, the expansion is envisaged towards RF solution to crop protection problems. The top down camera allow the creation of logs for real time conditions of the farm.

No. of intern positions available in the project – 02 (Engineering), 01 (Sales and Marketing), 01 (Logistics)

Principal Investigator:

Dr Nitin Saluja

Funding- External        Project Start Date - 01/11/2017

Broad domain – Data processing, MRI-CT imaging, Circuit design, power electronics, microwave designs and animal modelling

Focused domain – Data science and electromagnetics

Laboratory access at Massachusetts Institute of Technology, US, Thapar University Patiala and Rajindra Government Medical College, Patiala

The project is envisioned with a target to genetically modification in cancer cells with radio frequency based treatments on tissue scale. Currently, the target is to develop a physical device to cause reversible electroporation in cell membranes followed by CRISPR to introduce p53 genes in liver cells.

No. of intern positions available in the project – 01 (Engineering), 01 (Pharmacy)

Principal Investigator:

Dr Nitin Saluja

Funding- External        Project Start Date - 01/11/2017

Broad domain – Sensor development, Data Mining and Data Science, Real-time Processing of Data, Wireless sensor networks, Arduino Processor

Focused domain – Data science and electromagnetics

Access to wireless sensor network facility at IOTREK Technology, Delhi and labs of DTU Delhi

The target is to pilot the project in University campus for monitoring of underwater pipe networking with help of data science and sensors at different nodes. The sensor nodes are capable of sensing physical, chemical and microbiological properties of water. The graphene based sensors are energy efficient and front end section embedded with the sensor allows remote monitoring of sensing information.

No. of intern positions available in the project – 01 (Engineering)

Principal Investigator:

Dr Nitin Saluja

Funding- External        Project Start Date - 01/11/2017

Broad domain – Food Processing, microwave engineering, thermodynamics, data processing and material science engineering

Focused domain – Mechanical Engineering with Food Processing

Farmers suffer from huge loss of fruits/vegetables and hence bound to sell it at quite cheap prices. The preservation techniques like drying seek lots of efforts but the recent advancements in microwave engineering and the group working on the project enable energy efficient, environmentally friendly, highly cost effective and scalable machine.

No. of intern positions available in the project – 01 (Engineering) and 01 (Hotel management)

Principal Investigator:

Dr Nitin Saluja

Funding- Internal        Project Start Date - 01/11/2017

Broad Domain: B.E. in Electronics & Communication and Computer Science Engineering

Focused Domain: Game Engines (3D Unity, Unreal) with knowledge of Arduino Board, Raspberry Pi, FPGA, Matlab, Pressure Sensor, Light Sensor, Reflex Sensor, Motion Sensor, Leap Motion, Kinect Sensor.

Augmented Reality is one of the most fundamental enabling technologies of this era which modifies our perception to such an extent that we are able to see, hear and
feel the ordinary everyday objects in a new and enriched way. A typical Augmented Reality (AR) system requires the integration of hardware and software with factors such as Tracking, Registration, Interaction and Display playing an important role in the system design.

List of publications already emerged out of the project:
1. Amanpreet Kaur, Bhanu Sharma, Amit Kumar, “Technical Aspects of Gesture Recognition Systems”, Interact 2017.
2. Bhanu Sharma, Amanpreet Kaur, Amit Kumar,“Distinct Techniques of Gesture Recognition”, Interact 2017.

No. of intern positions available in the project – 2

Principal Investigator:

Ms Amanpreet kuar

Funding- Internal        Project Start Date - 01/11/2017

Broad domain –Computer Vision
Focused domain –Machine Learning

The predictive analysis using the machine learning has been incorporated to meet the requirements of growing era of machine learning and automation among the IT industry. In the coming projects, the work will be carried out towards the process automation, pattern recognition, data lineage, etc using the intelligent machine learning mechanisms. The main motive behind the consideration upon the research and innovation in the IT industry automation is to meet the standards and regulations for the implementation of the real-time projects. The projects would be carried forward with the enrollment in a competition held by “KAGGLE”, which is a popular for offering the competitions in the field of predictive modelling and related stuff for analysts, researchers, statisticians and data miners to meet up the new challenges of the industry. Various real time data sets are offered with the well-defined problems, mostly with prizes on the stake, undergo the KAGGLE data science competitive space. The enrollment for the competitions in predictive modelling and industrial automation (IT) on KAGGLE is most likely for the following competitions:
1. Passenger Screening Algorithm Challenge
2. Zillow Price: Zillow’s Home Value Prediction (Zestimate)
3. Draper Satellite Image Chronology
4. CIFAR-10
5. Depth Generation – Lightfield Imaging

ENROLLMENT OF STUDENTS
The enrollment of the students can be considered for the various roles with different responsibilities during the development of the model according to the life cycle of development of the projects. The following roles can be offered to the students during the project’s life cycle:
1. Literature study assistance
2. Programmers (Python, R, Scala, etc)
3. Data Visualization
4. Data preparation
5. Data analysis & report generation
6. Model’s performance evaluation
7. Segmental Analysis approach (Report generation and data integration/segmentation)
8. Reporting, Documentation and Packaging

No. of intern positions available: 02

Principal Investigator:

Dr Sheifali Gupta

Funding- External        Project Start Date - 01/11/2017

Broad domain – Image Processing
Focused domain – Image Segmentation

Carvana, a successful online used car startup, has seen an opportunity to build long term trust with consumers and streamline the online buying process.An interesting part of their innovation is a custom rotating photo studio that automatically captures and processes 16 standard images of each vehicle in their inventory. While Carvana takes
high-quality photos, bright reflections and cars with similar colours as the background cause automation errors, which requires a skilled photo editor to change.

In this competition, you’re challenged to develop an algorithm that automatically removes the photo studio background. This will allow Carvana to superimpose cars on a variety of backgrounds. You’ll be analysing a dataset of photos, covering different vehicles with a wide variety of year, make, and model combinations.

Prize Money

1st place – $12,000
2nd place – $8,000
3rd place – $5,000

ENROLLMENT OF STUDENTS

The enrollment of the students can be considered for the various roles with different responsibilities during the development of the model. The students must have following pre-requisites for the enrollment
 Programming Skills
 Working Knowledge in Python
 MATLAB Basics

Number of Positions: 02

Principal Investigator:

Dr Sheifali Gupta

Funding- External        Project Start Date - 01/11/2017

Broad domain – Automotive engineering
Focused domain – Vehicle dynamics and powertrain systems

IMechE`s(Institution of Mechanical Engineers) Formula Student is an annually organised student motorsport competition in which students are given a task to design an open wheel, single seater Formula 1 style race-car under certain rules described by IMechE. Each year, the student teams gather at Silverstone racing circuit in the month of July and teams are judged on the basis of Cost report, design presentations, business presentation and dynamic events like acceleration, endurance, fuel economy etc. MNCs like Ricardo, Mercedes- AMG, Jaguar Land Rover recruit students from this competition. For the next season, the team is going to participate in Formula Bharat also which is going to be held from Jan 25- Jan 28, 2018, at Kari Motor Speedway in Coimbatore. For more info, please visit Formula Student Website.

Students required- Mechanical engineers- 3 (powertrain systems and Vehicle dynamics)

Electronics and communication engineers- 1 (For engine electronics, car information system and DA systems)

Business administration- 1 (preferably girl for marketing, business presentation and branding)

Give away to students- Automobile designing experience+ certificates + chance to be placed in top auto-manufactures( for business administration aspirants also).

Principal Investigator:

Varinder Singh

Funding- Internal and External        Project Start Date - 01/11/2017