ISRE

Shivankar
Production Engineering

Production Engineering

ABSTRACT :

This project presents the design, validation and implementation of a three-wheeled holonomic motion system of a mobile robot designed to operate in homes or indoor spaces. The project analyses the kinematics of the motion system and validate the estimation of the trajectory comparing the displacement estimated with the internal odometry of the motors through encoders and the displacement estimated with a SLAM procedure based on LIDAR information.

Arnav Swapnesh
Production Engineering

Production Engineering

ABSTRACT :

SAUMYA PANDEY
ECE BRANCH

ECE BRANCH

ISRE research topic : In our research project, we as a group studied the major physical layer technologies which form the base for 5G networks. These physical layer technologies were subdivided into three major technologies (Non-Orthogonal Multiple Access Technology, Polar Code and Filtered-OFDM and massive-MIMO technology) among the three members of our group by our mentor.

SOURAV NAVAL
ECE BRANCH

ECE BRANCH

ABHIJEET NAYAK
ECE BRANCH

ECE BRANCH

Non-Orthogonal Multiple Access Technology is discussed among the New Radio (NR), which is a study item focussing on the design of next generation air interface. It is an upcoming multiple access technology specially designed for supporting 5G and future wireless communication scenarios which has improved features over traditionally used multiple access technologies in terms of better spectral efficiency, ability to accommodate larger number of users etc by virtue of its unique property of non-orthogonal resource allocation. NOMA can accommodate much more users via nonorthogonal resource allocation by allowing controllable interferences. Massive MIMO systems have shown potential to become a candidate for the next generation wireless technologies including 5G communication technology. Massive MIMO can be understood as an arrangement of MIMO systems having large quantity of antennas at base station and at terminals and these large number of antennas at base station work for fewer antennas at the terminals making use of same time and frequency resources. The growing number of served users and the increasing demand for large amounts of data opened the doors for this technology. The scaling of MIMO technology to large scale is to increase the capacity by 10 times so as to have the capability of supporting the future generations wireless networks. Polar codes, presented by Arıkan, are a class of error-correcting codes that are proven to achieve channel capacity for long block codes. They have been designated for the next generation of wireless communication standards. The 5G standardization process is putting its main focus on improved error-correction performance, lower power consumption, lower latency and higher throughput. For example, machine-to-machine communications in 5G require massive connectivity among a huge number of devices, on a scale much higher than the most bandwidth-demanding applications in 3G and 4G, with a limited power budget. Therefore, consistent and efficient encoding and decoding methods need to be constructed.

We studied various research papers and also performed simulations on MATLAB and Simulink platform for understanding the key features, advantages and various research trends related with this technology. The important facts were then presented in form of poster and a detailed report for final submission in the Armour R&D Expo. Apart from this, our research group also got an opportunity to work on a research problem related to future generations wireless communication assigned by our mentor regarding an efficient constellation scheme for transmission of symbols from large number of users with optimized average energy and maximised distance between adjacent symbols. We presented a mathematical formulation for this problem and a developed a MATLAB code for testing the constellation characteristics based on the various input symbols from different users and then observed and compared the different constellation shapes and presented the findings to our mentor

Shaurya Gupta
Civil & Environmental Engineering

Civil & Environmental Engineering

ISRE research topic:ANSYS, Inc. is an American public company based in Canonsburg, Pennsylvania. It develops and markets engineering simulation software. ANSYS software is used to design products and semiconductors, as well as to create simulations that test a product's durability, temperature distribution, fluid movements, and electromagnetic properties. ANSYS develops and markets finite element analysis software used to simulate engineering problems. The software creates simulated computer models of structures, electronics, or machine components to simulate strength, toughness, elasticity, temperature distribution, electromagnetism, fluid flow, and other attributes. ANSYS is used to determine how a product will function with different specifications, without building test products or conducting crash tests. For example, ANSYS software may simulate how a bridge will hold up after years of traffic, how to best process salmon in a cannery to reduce waste, or how to design a slide that uses less material without sacrificing safety.

Most ANSYS simulations are performed using the ANSYS Workbench software, which is one of the company's main products. Typically ANSYS users breaks down larger structures into small components that are each modeled and tested individually. A user may start by defining the dimensions of an object, and then adding weight, pressure, temperature and other physical properties. Finally, the ANSYS software simulates and analyzes movement, fatigue, fractures, fluid flow, temperature distribution, electromagnetic efficiency and other effects over time. ANSYS also develops software for data management and backup, academic research and teaching. ANSYS software is sold on an annual subscription basis

My Project Goals at the Carnegie Mellon University included, learning how to use ANSYS Mechanical interface and Workbench to solve static and dynamic structural problems and to write a handbook to help students use ANSYS. I ran multiple simulations on bridges, trusses, frames, beams and spring mass systems to explore and analyze the software. I and my teammate were able to determine and report a few bugs in the software to the ANSYS team which we were informed would be corrected in the 19.2 version of the software. Some screenshots from my analysis are depicted below:

Lakshmi Siva Surya Teja Karri
BE/10646/15

BE/10646/15

ABSTRACT:Business executives often face the challenge of deciding what projects to invest in. They need to know which projects will maximize the chances of success. Many projects fail because the project cost estimates do not consider the risk and uncertainty (threats and opportunity). The estimates are often too optimistic and unrealistic.

HawkEye is a simulation software that was developed by Project Management Hawks (PMHawks). While the team PMHawks-2016 built HawkEye 1.0 that calculated Project Cost, NPV estimation and Portfolio Optimization, PMHawks-2017 added functionalities like Project Schedule, NPV and Decision Trees in HawkEye 2.0.

Our team Project Management Hawks-2018 (PMHawks-2018) is a group of four enthusiastic students. We have developed a modeling application HawkEye 3.0 to solve the above stated problems for our immersive summer research experience. While the previous versions of HawkEye worked in collaboration with MS Project and Visual Basic, HawkEye 3.0 has altogether scraped the need of these two softwares by creating a model based on the programming language Python.

ACKNOWLEDGEMENTS

We are highly grateful to Birla Institute of Technology for its providing us with this great opportunity. We deeply acknowledge the constant support and encouragement of our respected alumni association BIT Mesra Alumni Association- North America (BITMAA-NA).

METHODS

HawkEye 1.0 developed a Monte Carlo engine and used Latin Hypercube sampling method to calculate the calculate Project Cost, NPV estimation and Portfolio Optimization. While HawkEye 2.0 worked in tandem with MS Project to calculate the Project Schedule and NPV.

HawkEye 3.0 has completely eliminated the use of MS Project and Visual Basic which has increased the usability of the software.

The user can calculate Project Cost, Schedule, and NPV as well as optimize Portfolios independently.

All the results are displayed in the form of interactive graphs and charts. The user can also get “tornado charts” to see the effect of the tasks on the complete project.

The user has the independence to use the software in Windows, Mac and Linux. The platform independence has further simplified the usage.

PMHawks-2018 has also implemented “Portfolio Optimization” which gives the user the best portfolio mix. In the previous versions only the deterministic method was used to select the portfolio whereas HawkEye 3.0 can calculate it stochastically.

It can also find total critical path time and the slack for the non- critical tasks. We have also included “Probabilistic branching”. The critical path can be calculated with risk as well as without risk in Project Schedule.

CONCLUSIONS

With the help of HawkEye Model we can generate more conservative project cost and schedule estimates. HawkEye 3.0 model will give the user better insights into project cost and schedule. Ultimately all of this will lead to more successful projects.
The speed has improved significantly from the previous models, the performance has improved while HawkEye 3.0 can now perform more number of simulations.
HawkEye 3.0 calculates the critical path and the float for each individual task for the Schedule that was not possible in the previous versions.
When one accounts for the risk and uncertainty to do probabilistic analysis for NPV, the estimates are going to be more conservative and realistic. That would help one take more effective decisions. Thus, executives can have a better insight into the profitability and success of a project.
When the NPV is positive, HawkEye 3.0 gives a percentage chance of the project being successful whereas the deterministic method does not give us this information.
HawkEye 3.0 identifies the portfolio that has projects based on the highest NPVS vs the projects based on the highest BCRs. HawkEye 3.0 shows that selecting portfolios based on highest BCRs is a better method.

HawkEye 3.0 is a more robust, powerful and faster modelling software for stochastic modelling of Project Cost, Project Schedule, NPV and Portfolio Optimization.

Urja Narayan
BE/10355/15

BE/10646/15

ACKNOWLEDGEMENTS

METHODS

HawkEye 3.0 has completely eliminated the use of MS Project and Visual Basic which has increased the usability of the software.

The user can calculate Project Cost, Schedule, and NPV as well as optimize Portfolios independently.

All the results are displayed in the form of interactive graphs and charts. The user can also get “tornado charts” to see the effect of the tasks on the complete project.

The user has the independence to use the software in Windows, Mac and Linux. The platform independence has further simplified the usage.

CONCLUSIONS

With the help of HawkEye Model we can generate more conservative project cost and schedule estimates. HawkEye 3.0 model will give the user better insights into project cost and schedule. Ultimately all of this will lead to more successful projects.
The speed has improved significantly from the previous models, the performance has improved while HawkEye 3.0 can now perform more number of simulations.
HawkEye 3.0 calculates the critical path and the float for each individual task for the Schedule that was not possible in the previous versions.
When one accounts for the risk and uncertainty to do probabilistic analysis for NPV, the estimates are going to be more conservative and realistic. That would help one take more effective decisions. Thus, executives can have a better insight into the profitability and success of a project.
When the NPV is positive, HawkEye 3.0 gives a percentage chance of the project being successful whereas the deterministic method does not give us this information.
HawkEye 3.0 identifies the portfolio that has projects based on the highest NPVS vs the projects based on the highest BCRs. HawkEye 3.0 shows that selecting portfolios based on highest BCRs is a better method.

HawkEye 3.0 is a more robust, powerful and faster modelling software for stochastic modelling of Project Cost, Project Schedule, NPV and Portfolio Optimization.

Shreeyash Vyakarnam
BE/10647/15

BE/10646/15

ACKNOWLEDGEMENTS

METHODS

HawkEye 3.0 has completely eliminated the use of MS Project and Visual Basic which has increased the usability of the software.

The user can calculate Project Cost, Schedule, and NPV as well as optimize Portfolios independently.

All the results are displayed in the form of interactive graphs and charts. The user can also get “tornado charts” to see the effect of the tasks on the complete project.

The user has the independence to use the software in Windows, Mac and Linux. The platform independence has further simplified the usage.

CONCLUSIONS

With the help of HawkEye Model we can generate more conservative project cost and schedule estimates. HawkEye 3.0 model will give the user better insights into project cost and schedule. Ultimately all of this will lead to more successful projects.
The speed has improved significantly from the previous models, the performance has improved while HawkEye 3.0 can now perform more number of simulations.
HawkEye 3.0 calculates the critical path and the float for each individual task for the Schedule that was not possible in the previous versions.
When one accounts for the risk and uncertainty to do probabilistic analysis for NPV, the estimates are going to be more conservative and realistic. That would help one take more effective decisions. Thus, executives can have a better insight into the profitability and success of a project.
When the NPV is positive, HawkEye 3.0 gives a percentage chance of the project being successful whereas the deterministic method does not give us this information.
HawkEye 3.0 identifies the portfolio that has projects based on the highest NPVS vs the projects based on the highest BCRs. HawkEye 3.0 shows that selecting portfolios based on highest BCRs is a better method.

HawkEye 3.0 is a more robust, powerful and faster modelling software for stochastic modelling of Project Cost, Project Schedule, NPV and Portfolio Optimization.

Indu Bhushan Singh
BE/10194/15

BE/10646/15

ACKNOWLEDGEMENTS

METHODS

HawkEye 3.0 has completely eliminated the use of MS Project and Visual Basic which has increased the usability of the software.

The user can calculate Project Cost, Schedule, and NPV as well as optimize Portfolios independently.

All the results are displayed in the form of interactive graphs and charts. The user can also get “tornado charts” to see the effect of the tasks on the complete project.

The user has the independence to use the software in Windows, Mac and Linux. The platform independence has further simplified the usage.

CONCLUSIONS

With the help of HawkEye Model we can generate more conservative project cost and schedule estimates. HawkEye 3.0 model will give the user better insights into project cost and schedule. Ultimately all of this will lead to more successful projects.
The speed has improved significantly from the previous models, the performance has improved while HawkEye 3.0 can now perform more number of simulations.
HawkEye 3.0 calculates the critical path and the float for each individual task for the Schedule that was not possible in the previous versions.
When one accounts for the risk and uncertainty to do probabilistic analysis for NPV, the estimates are going to be more conservative and realistic. That would help one take more effective decisions. Thus, executives can have a better insight into the profitability and success of a project.
When the NPV is positive, HawkEye 3.0 gives a percentage chance of the project being successful whereas the deterministic method does not give us this information.
HawkEye 3.0 identifies the portfolio that has projects based on the highest NPVS vs the projects based on the highest BCRs. HawkEye 3.0 shows that selecting portfolios based on highest BCRs is a better method.

HawkEye 3.0 is a more robust, powerful and faster modelling software for stochastic modelling of Project Cost, Project Schedule, NPV and Portfolio Optimization.

Akanksha Lakra
Chemical Engineering

Chemical Engineering

ISRE research topic :The rediscovery of Room Temperature Ionic Solvents as designer solvents promised a revolution in Synthetic Chemistry. RTILs hold promise as solvent free electrolytes for super capacitors, solar cells, batteries and electro actuators. First of all it is crucial to understand the electrical double layer concepts. It uses a Landau-Ginzburg type continuum theory of solvent free ionic liquids and use it to predict the structure of electrical double layer. Flows are described in correlated electrolytes and ionic liquids with only one new parameter , an electrostatic correlation length. This model captures over screening from short range correlations dominant at small voltages which are neglected in previous EDL theories. In this research I modified the normal Poisson equation to fourth order Poisson - Boltzmann equation which then was solved for small potential on colloidal surface (assumed as charged plate) in high concentrated electrolyte solution. Mathematical modeling of the model is done to find the force between charged plates. This model (Bazant's model) used a non- local kernel K(r,r') which decayed over length scale lc. The solutions obtained were then plotted on Matlab to give variation of potential versus distance between the plates and pressure versus correlation length. The plots obtained are shown as below:

Anushk Kamilla
BE CEE, BITM

Carnegie Mellon University, Pittsburgh, USA
(BE CEE, BITM)|| James Thompson(PhD)

ISRE research topic :In planning, designing and constructing a project, cost of construction has always been a prime concern for civil engineers and contractors. This is true today more than ever due to rampant urbanization. Therefore the objective is to study the parameters, that are either individually or jointly affecting the cost of any construction project. In simple words, our team was looking for factors that drove the cost for construction of a steel framed floor. This helps create a tool for engineers and builders to make economic decisions while planning a construction project.

Following the instruction of my advisor I started with an interior bay bounded by all direction and it was earlier assumed that the cost of the whole floor is the summation of those of each bay. For a typical interior bay, a slab with non-composite deck was selected with undraped reinforcement. The beams are supposed to be simply supported. Load distribution was taken care by the tributary area assumptions. A single aspect ratio i.e. a particular dimension of the bay was observed. Several plots were generated with help of spreadsheets corresponding to a bay area. The process was expanded for numerous other aspect ratios, each of which creates a possibility for a different spacing of the joists or wide flanged beams. Three dimensional plots were generated with the help of MATLAB and interpretations were made from it, where all the data could compacted in a single graph. Interpretations were made from the graphs produced. We also had aims of producing surface plots considering 3-4 factors that drive the cost of construction of floor. We did the same process for different orientation of the beams and joists in the bay and found some useful plots shown below. After all this work, we were asked to give a poster presentation on our work.

Vidur Ahluwalia

ISRE 2019 CMU
Chemical Engineering Dept

Satyabrat Bhol
Electronics and Communication Engg

ISRE 2019 IL Tech
Electronics and Communication Engg.

ISRE research topic: Data Analysis on Alzheimer's Disease where we will be applying Machine Learning and Deep Learning models to classify dementia and nondementia patients.

Soumil Dutta
Production Engineering

ISRE 2019 IL Tech
Production Engineering

ISRE research topic: I am Soumil Dutta, graduating in 2020 from the Production Engineering Department of BIT Mesra. I was a part of Immersive Summer Research Experience (ISRE 2019) at Illinois Institute of Technology in Chicago. I would like to express heartfelt gratitude to BITMAA-NA who had taken this initiative three years ago and have continued to provide and facilitate us with this very, very rare opportunity.

My project was titled "Implementation and Analysis of Cruise Control Methods in VISSIM Traffic Simulator". Cruise Control methods are algorithms which control acceleration of an autonomous vehicle. In VISSIM a large traffic scenario is generated where we acquired data about the performance of vehicles in a more real world like scenario in contrast to simulations in MATLAB in which we can simulate only very few vehicles at a time. The code for cruise control method was written in C++ and was used to control some or all vehicles in the traffic simulation in VISSIM. We concluded that the overall fuel efficiency (miles per gallon) was better when there were more autonomous vehicles on the traffic network and it was also concluded that under the presence of autonomous vehicles, human drivers performed better in terms of fuel efficiency.

This project helped me to gain quite some relevant skills which I look forward to put into work in future. I got great insights as to how to write research papers. But most importantly I developed a work ethic which gave me an insight to how much can really be learnt and achieved in just eight weeks.

The combination of accommodation in IIT Chicago, the facilities, the great people and the flexibility of timings to work in the Rettaliatta Engineering Center made for a perfect research experience.

The beautifully and ingeniously planned city of Chicago, it's architecture, culture, it's libraries, museums and it's lifestyle made for a perfect life experience.

Shubh Goel
Mechanical Engineering

ISRE 2019 GA Tech
Mechanical Engineering

ISRE Research Topic: Possible applications of Internet of Things (IoT) technology in makespaces and implementing an Iot based data collection network at Georgia Tech's Flowers Invention Studio.

Ananya Gulati
Computer Science and Engineering

ISRE 2019 IL Tech
Computer Science and Engineering

ISRE Research Topic: Data Analysis for Alzheimer's' wherein I shall be applying Machine Learning algorithms to the Alzheimer's data set to understand the disease better. The study shall probe into the causes, prevention and cure of Alzheimer's disease.

Srishti Gupta

ISRE 2019 IL Tech

Mallika Khare
Electrical and Electronics Engineering

ISRE 2019 CMU
Electrical and Electronics Engineering

ISRE Research topic :Computer vision and deep learningElectrical and Computer Science Dept.

Shivam Mahajan
Mechanical Engineering

ISRE 2019 GA Tech
Mechanical Engineering

ISRE Research Topic: Rapid Prototyping for Product design.

Project Report for Shivam Mahajan
Objectives:

1. Gain hands-on training in Invention Studio prototyping tools

2.Conduct research on training users on prototyping

a. Design a final checklist masterpiece that each trainee could build individually using a variety of prototyping tools. Example: multi-purpose toolbox

Skills Gained or in progress:

1.Prototyping tools:

Laser cutter
Electronics workbench
Waterjet
3-D Printers

2.Research tools:

Collaboration tools: Google Docs
How to develop a research topic/research Question
Locate Information: Google Scholar, GT Library. How to draft literature review
Evaluate and analyse information
Write, Organize and communicate findings
Cite Sources: Citation tools: Paperpile.com
Project management tools: Slack

About the Project:

The project started with the aim to complete the checklist of the Flowers Invention Studio at George W. Woodruff School of Mechanical Engineering, Georgia Tech. The aim of the checklist was to teach the tools and prototyping methods that can be used at the Invention Studio.

While working on the checklist, I also started working with a team of six members including me. The aim of the project was to help develop he course which will help users on the subject of manufacturing and rapid prototyping. My work in this project was to design a new checklist masterpiece that the students taking the course would build and which would also replace the checklist at the Invention Studio.

Salini Mahapatra

ISRE 2019 IL Tech

Yashodeep Mahapatra

ISRE 2019 CMU
Electrical and Computer Science Dept

Swapnil Modani

ISRE 2019 IL Tech

ISRE Research Topic: A user programmable homeautomation with cloud computation and image processing.

Aishanee Pattnaik
Chemical Engineering

ISRE 2019 GA Tech
Chemical Engineering

PROJECT 1

PROJECT 2

ISRE Research Topic: Development of salt purification processes of molten salts for its implementation on energy conservation.

UNDERGRADUATE PROJECT REPORT
PROJECT 1
OBJECTIVE

The objective of this project is to conduct Cyclic Potentiodynamic Polarization tests on Molybdenum-Rhenium (MoRe) alloys used in small implant devices to determine its pitting corrosion susceptibility in accordance with the ASTM F2129 Standard (Standard Test Method for Conducting Cycling Potentiodynamic Polarization Measurements to Determine the Corrosion Susceptibility of Small Implant Devices) and compare its effective passive film formation.

THEORY

Small implant devices like vascular or ureteral stents, filters, cardiac occludes etcetera are often made of alloys that have a high resistance to corrosion, however if these surgical implants are susceptible to pitting or crevice corrosion they are likely to yield unwanted derogatory effects on nearby tissues, which might not be limited to malicious tumours. This experiment is designed to test the extent of passive film formation of varied compositions.

PROJECT 2
OBJECTIVE

The objective of this project is to construct and analyse a purification process for a molten fluoride salt FLiNaK, a ternary eutectic alkaline fluoride salt mixture of Lithium Fluoride (LiF), Sodium Fluoride (NaF) and Potassium Fluoride (KF).

THEORY

FLiNaK, a ternary eutectic alkaline fluoride salt mixture of LiF-NaF-KF, is often used in corrosion experiments. They are produced by combining its high purity salt components, but still contain enough impurities to cause a derogatory effects on corrosion experiments. This process aims to produce high purity FLiNaK by hydro-fluorination of fluoride salts, ramped to 600°C, and a Hydrogen (H2) and Hydrogen Fluoride (HF) spurge followed by switching to an Argon spurge for 24 hours. HF converts the oxides and to fluorides and both HF and H2 are responsible for reducing metal fluorides. HF will be generated in-situ from the thermal decomposition of Ammonium Bi-fluoride (NH4HF2) to avoid costs for the specialized equipment required for the safe handling of HF.

Anamika Medha Shekhar
Civil and Environmental Engineering Dept

ISRE 2019 CMU
Civil and Environmental Engineering Dept

ISRE Research Topic:Transportation Data analysis. There is a construction going on just infront of CMU campus which changes 2 lanes to one lane. We are concerned how the change in lane affects traffic or speed or pollution.

Shreyas Shubhankar
Electrical and Electronics Engineering

ISRE 2019 IL Tech
Electrical and Electronics Engineering

ISRE Research Topic: Hello! My name is Shreyas Shubhankar. I'm currently in the final year of Electrical and Electronics Engineering at BIT Mesra and will be graduating in 2020. I interned at Illinois Institute of Technology, Chicago under the ISRE 2019 program.
I worked under Dr. Jafar Saniie in the Electrical and Computer Engineering department. The project was centered around a topic in Electrical Engineering called “Image Processing”. The goal of my project was to implement eye blink detection and head tracking algorithm using images of eyes as a template, to design a user friendly interface for typing anywhere using eye blinks, and to design an interface for using head tracking to move the mouse cursor and using eye blinks to click, scroll, and type in a browser. These algorithms help people with disabilities who cannot use their hands or voice to control their computer.
Here is the video link where I describe my project in further detail:
My project in further detail.
Participating in the ISRE program exposes you to an amalgam of cultures as there is an opportunity to work with some of the best minds from all over the world. You also get an exposure to the excellent academic and research system of the US. Needless to say, it is one of the best internship experience you can get during your undergrad and if you're planning for higher studies, this internship is priceless.
I would like to thank Birla Institute of Technology, Mesra, IIT Chicago, and BITMAA-NA for making this wonderful opportunity possible.

Nishant Kumar Singh
Civil and Environmental Engineering

ISRE 2019 CMU
Civil and Environmental Engineering

ISRE Research Topic: Hello everyone,
I am Nishant Kumar Singh of batch 2016-20 pursuing B.E in Civil Engineering at BIT MESRA.
I was a student research intern at Carnegie Mellon University in the summer of 2019.
Landslide occurs frequently in India. The Method of slices has been used to analyze slope stability of inclines but it has its limitations. I worked on the topic 'Cohesive Zone model as an alternative for the ordinary method of slices using parameters derived from the 3D reconstructed models'. My work was to analyse the methods used to study slope stability using mathematical models and codes and to simulate a new method and try to overcome the limitations of the earlier method to analyse landslides.
Not only did I learn the subject but also how to learn things. I loved the atmosphere of learning and growing continuously.
I will always carry with me politeness, respectfulness and the persevering nature of the Americans. I learned a lot from the different culture I was exposed to and made friends from all across the globe. I am grateful for this opportunity and I thank BIT MESRA, BITMAA-NA and CMU,Pittsburgh for this fantastic experience.

Paritosh Kumar Sinha
Electronics and Communication Engineering

ISRE 2019 IL Tech
Electronics and Communication Engineering

ISRE Research Topic: Field Programmable Gate Arrays (FPGA's) to develop a programmable system on chip. For now I am learning about the topic and will have a project finalized by Friday 14th June.

Parika Vyas
Electronics and Communication Engineering

ISRE 2019 IL Tech
Electronics and Communication Engineering

ISRE Research Topic: Based on computer vision; a combination of image processing and deep learning. I am using a depth sensing camera to aid people with certain disabilities, using image segmentation and neural networks.