Research Areas

IoT, Industry 4.0, Aquaculture, Edge Computing, Expert System

Research Overview

Develop Deep learning support system for big data analytics and system-specific technical interventions for shrimp farming, based on weather and environmental parameters data.
Identification, classification, and mapping of seaweeds and estimation of biomass using Machine Learning approach.

Research Projects

Title	Sponsoring Agency	Sanctioned Year	Cost (in Lakhs)	Status
IoT-based water and soil health monitoring system with affordable indigenous sensor for intensive aquaculture	Department of Biotechnology	2023	50.06	Sanctioned
Seaweeds Cultivation and Utilization in Odisha Coast Including Chilika Lake for Ecological Restoration and Livelihood Generation	Department of Biotechnology	2021	68.22	In Progress
Precision Brackish Water Aquaculture Technology Using Machine Intelligence	Department of Biotechnology	2021	132.45	In Progress
Minimising the Post harvesting loss in warehouse through examining rice kernel/paddy quality using infrared measurements, image processing algorithms and IoT5 Platform	TNSCST	2021	2.00	Completed
Energy Efficient and Optimal Path Planning Strategies for Swarm of UAVs In Real Time Localization Using Deep Learning Based Stereo Vision System	ISRO-RESPOND	2020	23.01	Completed
Optimization of High-Speed Vessel and Evaluation of the Hydrodynamic Performance	DRDO	2020	10.00	Completed

National/International Collaboration

ASEM Duo Fellowship, Visiting Professor in University of Johannesburg
University of Delhi, New Delhi
Department of Biotechnology, New Delhi
Tamil Nadu State Council of Science and Technology, Chennai, Tamil Nadu
Central Institute of Brackishwater Aquaculture, Chennai, Tamil Nadu
Ontario Tech University, Canada

Major Research Facilities

Team

Dr. Kanagachidambaresan G.R, Ph.D. (Centre Head)
Professor (Research), Department of Computer Science and Engineering
Email: [email protected]
Mobile: +91 9447900113

Centre for IoT and Expert System