Research



Research Interests

·         Autonomous Navigation Technologies: Aerial/Terrestrial, Autonomous Navigation Testbed/Living Lab,Drone Based Sensing, Wireless communications, Wireless sensor networks, UAV-based sensing, Embedded systems, Cyber Physical Systems/Internet of Things (CPS/IoT), Converged network modelling, Energy efficiency, Green communications.



The research work mainly focuses on the following areas:

·         AI-based Aerial/Terrestrial traffic sensing using LiDAR point cloud processing - Object Detection and Tracking which involves

o   Object segmentation (clustering)

o   Classification of objects e.g. cars, pedestrians, cyclists etc.

o   Finding vehicle count

o   Speed detection

o   Intrusion detection.

·         High Throughput Crop Phenotyping using UAV based sensor like Hyperspectral, multispectral and RGB camera, for the following

o   Standard operating Procedure for capturing of images from UAV

o   Calculation of phenotypic traits (LAI, plant count, 50% flowering, plant height, tassel detection etc.,) using AI/ML techniques

o   Weed/Crop segmentation

o   Stress classification

o   IoT network for monitoring soil moisture and soil temperature.

·         IoT enabled artificial intelligence-based guided and automated diagnostic system for ultrasound imaging systems which ensure that a semi-skilled person with minimum expertise can provide non-invasive imaging diagnostic in remote healthcare. AI based healthcare includes the following:

o   Developing algorithm for quantification of fatty liver using ultrasound imaging

o   Organ detection in ultrasound imaging

o   Abnormality detection in kidney ultrasound image.

·         The brain-controlled IoT environments (BCE) which provides the communication between the brain and the external world and involves the following:

o   Developing sophisticated AI based algorithms to detect the performed MI task by the user

o   Efficiently Communicating the intelligent decision engine’s command to actuate the surrounding environments by using a low power IoT network.

·         Developing algorithm for enhancing cyber security in IoT infrastructure including the following:

o   Studying the different attacks in IoT networks

o   Mitigating the attacks by exploring physical layer in addition to computational complexity based security algorithms

o   Analysing the vulnerabilities in IoT communication standards like NBIoT, IEEE 802.15.4 etc.

·         Enhancing the throughput in dense traffic IoT networks by developing AI-based channel access mechanisms and proposing adaptive communication strategies for optimal performance.

·         Wireless Sensor Networks: Actively involved in

o   Design and development of cost effective multiple architecture solutions for air pollution monitoring system

o   Test bed deployment

o   Data collection, interpretation and statistical modeling

o   Smart/Green Buildings

o   Mobile sensor networks.

·         Cognitive Radio Networks:

o   Cognitive spectrum sensing, Boundary detection

o   Green/Energy Efficient Communication technologies.