Aadeesh Shringarpure
Data Scientist II at Yum! Brands
Data Scientist II at Yum! Brands
Yum! Brands
https://www.linkedin.com/company/yum-brands
Plano
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Data Scientist II
SpectralMD
https://www.linkedin.com/company/spectralmd
Dallas
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Computer Vision Scientist
Rochester Institute of Technology
https://www.linkedin.com/company/rochester-institute-of-technology
Change Detection in Aerial Imagery using Deep Learning
Rochester, New York Area
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Graduate Research Assistant
Rochester Institute of Technology
https://www.linkedin.com/company/rochester-institute-of-technology
Rochester, New York Area
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Graduate Teaching Assistant
St. Jude Medical
https://www.linkedin.com/company/st--jude-medical
Worked on the Lightlab Imaging OCT Software.
Implemented targeted changes to C++ application to implement algorithm experiments from MATLAB.
Inspected the OCT data to support algorithm experiments.
Support development of algorithms for stent strut detection and guidewire detection.
Westford, MA
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Image Analyst Intern
Graduate
Electrical Engineering
Rochester Institute of Technology
Bachelor of Engineering (B.E.)
Electronics
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University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
Advanced Engineering Mathematics
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Computer Vision
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Deep Learning
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Digital Image Processing
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Digital Signal Processing
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Engineering Analysis
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Image and Video Compression
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Machine Intelligence
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Random Signals And Noise
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Advanced VLSI Design
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Applied Chemistry
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Applied Math
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Applied Physics
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Communication Networks
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Computer Programming
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Continuous Time Signal and Systems
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Control Systems
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Digital Communication and Coding Techniques
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Digital Image Processing Design
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Digital Logic Design
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Discrete Time Signals and Systems
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Electrical Network Analysis and Synthesis
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Electronics Instrumentation Systems
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Embedded Systems and Real Time Programming
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Engineering Drawing
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Filter Design
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Linear Integrated Circuit Design
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Microprocessors and Microcontrollers
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Microwave Devices and Circuits
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Neural Networks And Fuzzy Systems
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Power Electronics
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Robotics and Automation
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This project aims at creating a supervised model to detect changes in the aerial images. 
In the supervised model the network is trained with positive and negative images of vehicles.
Detecting changes indicates localizing changes in the position of vehicles in different time frames of the same scene.
Change Detection in Aerial Imagery Using Deep Learning
Fully convolutional models are used to perform Semantic segmentation which helps in estimating background and foreground in video frames.
The main aim of this project is to detect changes in the video sequence and use these changes for the background frame retrieval using image stitching techniques.
Estimated Background frames were compared to other image frames in the video to detect changes.
Semantic Change Detection and Background Estimation in Video Sequences
Compare pretrained CNN models for Object detection such as AlexNet, ResNet and VGGNet.
These will be compared on the basis of accuracy, precision, recall, computation time, confusion matrix etc.
The PASCAL VOC 2012 data-set will be used to train and test this model.
Performance Evaluation of Different CNN Architectures for Object Detection
Developed an algorithm in MATLAB which is used to recognize the person’s emotional state through facial expressions such as angry, happy, sad and surprised.
Used a Radial Basis Function Neural Network (RBFN) for classification and Discrete Wavelet Transform for feature extraction and compared it’s results to those of Histogram of Oriented Gradients (HOG) used for feature extraction followed by Support Vector Machines (SVM) used for classification.
Facial Expression Recognition
In this project closest matches from a dataset based on the histogram intersection distance with respect to the color histogram of the query image were found out and displayed using MATLAB.
An image from each texture class was selected as a query image and based on the Chi Squared distance of the feature vectors sample images from the dataset having similar texture were found out.
Image Retrieval Using Texture and Color Histogram Features
8x8 block of 2D DCT of an image was implemented to get the lossy JPEG compressed image in MATLAB.
Wavelet Transform using convolution and lifting methods was found out which can be used in the JPEG2000 algorithm.
Implementation of JPEG compression algorithms (MATLAB)
Implementation of compression algorithms like Huffman and Golomb Rice coding in
MATLAB. Otsu’s thresholding technique using Image Histogram was executed in MATLAB.
Implementation of Huffman Code, Golomb Rice Code and Otsu’s technique
Studied and developed the K-NN filter, Sigma filter, Bilateral filter and Median filter in MATLAB for
removing different types of noise from the images.
Implementation of Noise removal techniques
Implementation of various photoshop functions such as Histogram equalisation, Auto levels,
Clip limited Histogram equalisation and Moroney’s Technique in MATLAB.
Contrast Manipulation Algorithms
Various algorithms of image processing based on image deblurring, edge detection, image
filtering and image resizing were studied and executed in MATLAB.
Algorithms based on deblurring, edge detection, filtering of images
Worked in a team of 3 for structuring the self balancing robot based on Unicycle Mechanism using AT89C51 micro-controller and IR sensors.
Designed a 3 layered model by calibrating the center of gravity using mechanical principles.
Successfully tested and demonstrated the working model in front of industrial professionals.
Self Balancing Robot
Automatic Room Light Control for a Warehouse
This project was based on operational amplifiers which amplified the voice signals for the patients with a hearing disability. 
The main purpose of this project was to develop a cost efficient hearing aid which would be easily affordable for all. This was achieved by connecting two OP-AMP’s in series which would help in the amplification of the attenuated signal.
Low Cost Hearing Aid
https://www.linkedin.com/in/saroshjamal4
Plano, TX
Sarosh Jamal
ETL Tester at Yum! Brands
https://www.linkedin.com/in/tommy-josey-8aa0116
Dallas, TX
Tommy Josey
Sr. Systems Engineer at Yum! Brands
https://www.linkedin.com/in/samarthskumar
Dallas-Fort Worth Metroplex
Samarth Suresh Kumar
Senior Software Engineer at Yum! Brands
https://www.linkedin.com/in/nupursidhaye
Dallas-Fort Worth Metroplex
Nupur Sidhaye
Network Engineer at CyrusOne
https://www.linkedin.com/in/ashton-mutuwa-0221981a8
Cedar Lake, IN
Ashton Mutuwa
Cyber Analyst at Yum! Brands
https://www.linkedin.com/in/rakesh-k-aa963419a
United States
Rakesh K
Sr. Site Reliability Engineer II at Yum! Brands
https://www.linkedin.com/in/nasir-chaudhry-527b24132
Los Angeles Metropolitan Area
Nasir Chaudhry
Software Engineer in Test at Yum! Brands
https://www.linkedin.com/in/sayan-banerjee-007
Plano, TX
Sayan Banerjee
Senior Data Scientist | Machine Learning Researcher
https://www.linkedin.com/in/guillermo-jacquez-11436260
Greater Chicago Area
Guillermo Jacquez
Senior Software Engineering Manager at Yum! Brands
https://www.linkedin.com/in/stevenschobert
Dallas-Fort Worth Metroplex
Steven Schobert
Principal Software Engineer at Yum! Brands
https://www.linkedin.com/in/jeremiah-sheehy-ba865a18b
Greater Chicago Area
Jeremiah Sheehy
Director, Software Engineering at Yum! Brands
https://www.linkedin.com/in/suparnaukey
Dallas-Fort Worth Metroplex
Suparna Ukey
Manager, Design & Construction at Yum! Brands KFC Global
https://www.linkedin.com/in/kirk-leopoldo
Chicago, IL
Kirk Leopoldo
Technical Recruiter at Yum! Brands
https://www.linkedin.com/in/roycevibbert
Greater Chicago Area
★ Royce Vibbert  • MBA  • PMI-ACP  •PMP  •CSM •CSPO
Senior Technical Product Owner at Yum! Brands
https://www.linkedin.com/in/saraghanadian
United States
Sara Akbar Ghanadian
Ph.D| data scientist
https://www.linkedin.com/in/suri-chen
New York, NY
Suri (Suyu) Chen
Senior Data Scientist at PepsiCo
https://www.linkedin.com/in/ray-bell
Miami, FL
Ray Bell, Ph.D., PMP
Principal Data Scientist at DTN
https://www.linkedin.com/in/lusilvia
Jersey City, NJ
Shanshan Lu
Senior Data Scientist at PepsiCo
https://www.linkedin.com/in/rshafipour
Greater Seattle Area
Rasoul Shafipour
Data & Applied Scientist - AI Algorithms & Cloud Acceleration at Microsoft
https://www.linkedin.com/in/renee-ernst
Maple Grove, MN
Renee Ernst
Data Scientist and Engineer who is passionate about owning projects from initial idea stage to production, and mentoring others through the process.
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Time for a BIG update! I was able to replace my corporate income with real estate investing this year and have decided to leave my W2. I’m so…
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Spectral MD hosted a successful two-day kickoff event at its #Dallas headquarters to introduce the start of the Option 1A Training Study, a…
Image Processing Interest Group
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Deep Learning for Computer Vision
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