Opportunities for Undergraduate Research (OUR)

The Opportunities for Undergraduate Research (OUR) is one of the pioneering and flagship program at Shiv Nadar University which has paved the way for undergraduate students to conduct original research with faculty

Undergraduate students are provided an unprecedented, well-rounded education by synthesizing broad, and strong interdisciplinary foundation with a solid training in their selected discipline - exemplifying the importance of research in the DNA of the University. The OUR program aims to give students hands-on experience in conducting research and doing independent work under faculty supervision. This progarm has paved the way for students to learn by discovery; have greater student-faculty interaction; expand the level of research activity on campus besides helping to identify and train potential candidates for the University’s graduate programs. Through the program, students are expected to develop foundational understanding of how research is conducted in their disciplines, develop a greater understanding of the information resources available and the way to utilize them as well as how to interpret research outcomes.

OUR Highlights

Project Title: To optimize the performance of Gallic Acid based rGO for Lithium Sulphur Battery

Student: Gaganpreet Singh Khosla, B.Tech. (Electrical Engineering - Class of 2016)

Faculty Advisor: Dr. Bimlesh Lochab, Assistant Professor, Department of Chemistry, School of Natural Sciences

There has been tremendous interest in using Lithium-Sulfur/-Polymer batteries as electrical energy storage devices. Dr Bimlesh Lochab Carbon based nanomaterials especially graphene has shown potential for such devices due to their high specific surface area (SSA) (2630 m2/g) and a very high intrinsic electrical conductivity due to sp2-bonded carbon in planar configuration. In addition, high mechanical strength, chemical stability and facile bulk production at low cost via graphene-oxide further attracted their utilization for such devices at an industrial scale. In this project work, synthesis of reduced graphene oxide via reported-sustainable and novel-sustainable routes was carried out to be used in Li-S co-polymer batteries which was followed by performance optimization studies. Further, the novel reduced graphene oxide was characterized using UV-Vis (Ultraviolet-visible), FT-IR (Fourier Transform-Infrared), Raman, SEM (Scanning electron microscopy) and TGA (thermo-gravimetry analysis) techniques.

Gaganpreet Singh Khosla, B.Tech. (Electrical Engineering - Class of 2016) was awarded the first prize amongst the 50 OUR projects that were present in 2015-2016.

Project Title: Reconnaissance and Surveillance System

Student name: Pranjay Shyam, B.Sc. (Research) Physics - Class of 2018)

Faculty Advisor: Dr. R.N. Biswas, Visiting faculty, Department of Electrical Engineering, School of Engineering

The project focuses on implementing a wireless security system which can monitor any intrusions in real time. Apart from real-time monitoring of a location, the system is also able to detect any changes caused due to motion in the environment, highlight the area of motion and generate necessary alarms. The main crux is to process the stream of images gathered from a local camera on site and analyzes the image in real time for motion detection.

Pranjay Shyam, B.Sc.(Research) Physics - Class of 2018) was awarded the third prize amongst the 50 OUR projects that were present in 2015-2016.

Project Title: Entanglement in Random Pure States: Statistics of Extreme Schmidt Eigenvalues

Student Name: Bharath Sambasivam, B.Tech. (Electronics and Communication Engineering - Class of 2016).

Faculty Advisor: Dr. Santosh Kumar, Assistant Professor, Department of Physics, School of Natural Sciences

Quantum entanglement refers to the non-local quantum correlation between the subsystems of a composite system. In quantifying the degree of entanglement the set of Schmidt eigenvalues coming from the reduced density matrix plays a crucial role. In particular, extreme Schmidt eigenvalues (the smallest, and the largest) serve as important metrics in characterizing the entanglement. The project explores these extreme Schmidt eigenvalues with the aid of random matrix theory of fixed trace Wishart ensemble. Extensive statistical analysis of these eigenvalues using both analytic and computational tools was carried out resulting in derivation of the probability density functions of these extreme eigenvalues and exploration of their role as a measure of the degree of entanglement. The results were also applied to the paradigmatic case of coupled kicked tops system and excellent agreement with the analytical predictions was found.

Bharath Sambasivam, B.Tech. (Electronics and Communication Engineering - Class of 2016) was awarded the second Prize amongst the 50 OUR projects that were presented in 2015-2016.