Sensing & Computing lab

MAJOR Research Domains Supported

Signal and image processing
Biomedical sensing & brain–computer interfaces (BCI)
Stress detection and negro-cognitive analytic
Smart healthcare monitoring systems
IoT-based sensing applications
AI/ML-driven predictive modelling

Faculty In-charge:
RESEARCH GROUP
FACILITEIS

The Sensing & Computing Laboratory is equipped with advanced hardware, software, and computational resources to support cutting-edge research in sensor technology, signal processing, embedded systems, and intelligent computing. The lab provides a multidisciplinary platform for students, research scholars, and faculty to work on innovative real-world applications.

Phantom 4 Pro V2.0: Multispectral Drone

The Phantom 4 Pro V2.0, equipped with multispectral imaging capability, is a robust aerial sensing platform widely used in remote sensing, environmental research, and precision agriculture. Its combination of a high-resolution RGB camera and multispectral sensor modules enables the capture of detailed spectral information essential for advanced data analytics and scientific investigation.

Key Research Features

Multispectral Imaging Capability
This enables computation of vegetation indices such as NDVI, SAVI, GNDVI, and EVI, essential for ecological and agricultural studies.

High-Resolution RGB Camera supporting high-accuracy photo capturing

Autonomous & Repeatable Data Collection
The drone supports:
Waypoint-based automated missions
Large-area coverage for field surveys
consistent and reproducible data acquisition across research trials.

1.Precision Agriculture Crop health assessment
Disease/pest identification Soil moisture and nutrient mapping,Environmental & Ecological Studies,Forest canopy analysis,Deforestation and land degradation studies,Wetland and water-body assessment,Remote Sensing & GIS Research

2. Infrastructure and Urban Studies
Road and building inspection
Urban planning data collection
Structural health monitoring

1. EEG, Signal Acquisition AND ANALYSIS Systems
Multi-channel EEG systems ( 32 channels) saline based electrode setups.Hands-on training for engineering student are ad.

Device specification
Highest density and most flexible wireless EEG Brainwave system for research in long and contextual neuroscience experiments.
An EEG is a test that detects abnormalities in your brain waves, or the electrical activity of your brain.

Research work
CognitBrain–Computer Interface (BCI)
Mental Health Research
Neuroergonomics & HCI
Educational Applications

Biosignalsplux: Hybrid-8 Channels Multi-Sensor Data Acquisition System.
The lab is equipped with a Biosignalsplux Hybrid-8 multi-sensor data acquisition system, enabling high-resolution recording of EEG, ECG, EMG, PPG, and other physiological signals. This portable wireless platform supports synchronized 8-channel acquisition for biomedical research, cognitive studies, and AI-driven physiological signal analysis.” It supports up to 8 simultaneous sensor channels, enabling synchronized recording of diverse biosignals with high accuracy and minimal noise.

Device specification

1. 8-channel hybrid acquisition for recording multiple physiological signals concurrently
2. High-resolution sampling (up to 3000 Hz depending on sensor)
3. Wireless communication (Bluetooth Low Energy) with low latency
4. Compact, wearable design suitable for lab and real-world experiments
5. Modular sensor compatibility, including:EEG (Electroencephalography),EMG (Electromyography),ECG (Electrocardiography)

1. DEVELOPMENT OF LOW COST CT SCAN (DST ,FIST, ISRO)
2. The multi-spectral and hyper-spectral images have several applications such as remote
3. Sensing, agricultural monitoring, mineral detection, military purpose
4. Power Quality Events and Fault Detection in a Smart Grid using Signal Processing Algorithms