SHIVAM GUPTA

Research Intern

CIndian Institute of Technology, Kanpur

Dec 2016 – Nov 2017

RESEARCH INTERN UNDER PROFESSOR GAURAV PANDEY, IIT Kanpur
( Machine Learning, Computer Vision, Image Processing, Python) 

•Worked on the Support Vector Machine (SVM) and Convolutional Neural Network (CNN) based Facial emotion recognition in static images, videos and in Real Time as well in Python with an accuracy of around 93.7%.
•Worked on OpenCV and Dlib libraries for the detection of Face and the Facial Landmarks in real time and static images and trained the model using various Machine Learning algorithms from Cohn-Kanade Datasets(CK & CK+).
•Completed the research paper named "Facial Emotion Recognition in Real time and static images" which is under review.

 

 

Summer Research Intern

Indian Institute of Technology, Delhi

May 2017 – Jul 2017

IIT Delhi, New Delhi Area, India

 

RESEARCH INTERN UNDER PROFESSOR TAPAN K. GANDHI, IIT Delhi
( Machine Learning, Signal Processing, MATLAB) 

*Worked on the Detection of Obstructive Sleep Apnea using Heart Rate variability in ECG Signals using the Time Domain and Frequency Domain methods and Classification is done using SVM(Support Vector Machines) and K-Means Clustering.
*Also worked to calculate the LF/HF Ratio in the ECG signals using Wavelets Packet Decomposition and FFT Methods for the detection of Obstructive Sleep Apnea and Compared these two methods for the LF/HF Ratios values during Sleep Apnea.
*Completed the Research Paper named "DETECTION OF OBSTRUCTIVE SLEEP APNEA USING HEART RATE VARIABILITY IN ECG SIGNALS" which is under review.

 

 

Summer Research Intern

Company NameMotilal Nehru National Institute Of Technology

May 2016 – Jul 2016

 

MNNIT Allahabad,UP

SUMMER RESEARCH INTERN UNDER PROF Mr. DUSHYANT KUMAR SINGH, CSE Department MNNIT, ALLAHABAD (Machine Learning, Computer vision, Image Processing, MATLAB) 

• Worked on the Optical Flow-Based moving Object Detection and Tracking using MATLAB which is based on the Lucas Kanade method and also modified in the manner to reduce the effect of noise and increase the precision.
• Applications of this technique are to use it for interaction between machines and humans, security and surveillance, supplemented authenticity, monitoring traffic in roads, medicinal image processing and other video processing. Also Published a Research paper on this research project.
• This system was successfully working on many live videos through webcam and videos captured through camera. 
• Also implemented Face detection on images using Viola Jones Algorithm.