SiGMA – Signal Processing, Machine Learning and Artificial Intelligence Research Lab

Projects

Funded Projects

1. RESPOND-ISRO:
   Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery “
   Rs. 30/- lakhs
2. LAM Research, USA :
   “Generic Bayesian Network Model for Detection of Etch Profile from SEM/TEM Images across Applications”
   Rs. 18/- lakhs

Research Projects

• Artificial Intelligence for Education – Teaching-Learning and Assessment
• Water Budget Recommendations using Localized Water Resources and Demand Mapping
• G-lets Signal Processing for Functional Approximation in Neural Networks
• Artificial Intelligence Systems for Intelligent Transportation Infrastructure on Indian Roads
• Graph Signal Processing Filters
• Geo-spatial 3D Modelling and Augmented Reality for Smart City Planning and Design
• Real-Time Traffic Incident Detection and Prediction with Machine Learning Tools on Indian Road Networks
• Multi-attribute Utility Model to Scrutinize Patient Data using Machine Learning and Deep Learning for Medical Decision Support System in Remote Healthcare
• Intracranial Hemorrhage Detection and Localization
  Intracranial hemorrhage contributes to strokes requiring urgent intensive treatment. The symptoms include acute neurological such as severe headache or loss of consciousness, highly trained specialists review medical images of the patient’s cranium. Detect acute intracranial hemorrhage and its subtypes, looking for the presence, location and type of hemorrhage.
• Blindness Detection
  To build a machine learning model and detect diabetic retinopathy from thousands of fundus images collected in rural areas by Aravind Eye Hospital in India.
• Liver Disease Diagnosis
  To segment liver in CT data, and liver, spleen, and kidneys in MRI data
• Fetal Head Circumference Detection
  Automated measurement of fetal head circumference using 2D ultrasound images.
• Pneumonia Detection
  Predicting fluid intelligence from T1-weighed MRI (11K subjects in total, age 9-10 years). The data of about 4k individuals will be provided for training.
• X-ray Diagnosis
  MURA (musculoskeletal radiographs) is a large dataset of bone X-rays. Algorithms are tasked with determining whether an X-ray study is normal or abnormal.
• Breast Cancer Diagnosis
  Detect breast cancer metastasis in lymph nodes using image classification of 327,680 color images (96 x 96px) extracted from histopathology images.
• Vessel Extraction in Retinal Images
  Develop a system to automatically segment vessels in human retina fundus images
• Speed-up of MRI Scans
  To explore the use of AI to make MRI scans up to 10 times faster with different dataset images.
• Automatic Structure Segmentation for Radiotherapy Planning
  To set up tasks for evaluating automatic algorithms on segmentation of organs-at-risk (OAR) and gross target volume (GTV) of tumors of two types of cancers, nasopharynx cancer and lung cancer, for radiation therapy planning
• Detect Brain Shift with Intra-Operative Ultrasound Images
  To characterize image registration methods on newly released standardized datasets of iUS-guided brain tumor resection. Image registration algorithms are needed to relate pre-surgical MRI to iUS images.
• Chest Radiograph Diagnosis
  Identify the presence of 14 different abnormalities from chest radiograph images
• Fracture Detection in Spine Images
  To segment and classify vertebrae from the given spine images that include fractured and non-fractured cases.
• Chest CT Scan Nodule Identification
  Lung cancer screening and Fleischner follow-up determination in chest CT through nodule detection, segmentation and characterization

Completed Projects

2019

• Topic modelling and summarization from text using NLP – Jariwala Romin Chetankumar, Jassem Mohammed, Krutarth Katharotiya
• Uncertainty estimation in Time Series Prediction by Ensemble Models for Uber Taxi Demand Conditions – T.M. Vijay Meenakshi
• Visual speech recognition using facial mouth features – Vennela, Archana Nair
• Performance Metrics of Cricket Players for Team Selection – Sri Hari, Aakash, Dinesh
• Hospital Recommendation using Machine Learning – Nithil, Gokul, Raakesh
• Analysis of LEOD based Outlier Detection – Ankit, Jishnu, Vivek Nair
• Sentimental Analysis of Movie Reviews using Psychometric Method in Linguistic Study – K C Harikrishnan, Suresh, Nidhin S Dharan
• Trash Object Detection Using SLIC Segmentation – Abhishek Rajesh Pawaskar, Lanka Naga Sai Deep, Ramyapriyanandhini
• Natural Language Querying, Jaivik, Himesh
• Parallelising Convolution Neural Networks – K C Harikrishnan
• Ride Demand Prediction of Taxis – Balaji, B
• Quantum Machine Learning – Balaji, B
• Automatic Drone Navigation – Balaji, B, Jassem, Dinesh, Pooja Sri, Nithil Jose
• Unathorized Personnel Detection and Gesture Recognition using Humanoid Biped Robot – Abhishek, Naga Sai Deep, Krutarth, Romin, Vijay Meenakshi
• Automatic Lane Detection using Smart Robo Car – Aakash, Sri Hari, Archana, Jaivik Dave, Himesh, Darshan
• Simulation of Traffic Situations for Smart Video Robo Car – Vivek Nair, Suresh, Nithin Dharan, Raakesh, Ramyapriyadarshini
• Optimization of Robotic Arm Movements – Ankit, Harikrishnan, Aishwarya, Gokul, Vennela

2018

• Automatic Feature Extraction in Satellite Images

2017

1. Parallelizing Low Vision Feature Extraction through GPUs

2016

1. Super resolution of Images for Breast Cancer from Mammography Images
2. Medical Signal Processing using IoT Devices
3. 3D Map Generation for Visual Wayfinding

2015

1. 3D Modelling from MRI Images
2. Feature based Transfer function design for Volume Rendering
3. 3D Modelling of Nano Surfaces
4. Context Aware User Profiles for Mobile Phones