Air Quality

• Measurement of Air Quality parameters and try to verify, fine-tune or improve the existing ambient air quality models.


•Measures and collects the data related to the TDS, pH, salinity, water level and water flow, pressure of the water within the campus and perform the required data analytics to understand the quality of water and water consumed and Leakage detection.


•Monitors and collects the weather parameters and uses the data to control the energy consumption and air quality evaluation.


•Monitors and measures the Solar energy related parameters in and around the campus. Increases the performance of solar panels by measuring the power produced and using a camera to track the movement of sun and adjust the panels automatically to give the maximum output and fault diagnostics.

Energy Monitoring

•Monitor energy generation and consumption in and around the campus to regulate the usage of electronic appliances and help in optimize the power consumption.

Smart Space

•Uses the infrastructure and provides controls for a room to use the power effectively. It monitors and collects the data related to temperature, humidity, Co2 levels and movement and adjusts the room HVAC controls accordingly. •Smart energy home devices.

Crowd Monitoring

•Measures the crowd density (#of people), mask violations (#of violations in a zone), safe distance violations (#no of violations in a zone) to develop a crowd management solution for smart camps/cities.

Smart Lamppost

•Based on the external light available, it automatically controls the on/off switching of the streetlights. It also presents the air quality, weather condition etc.

Structural Health

•Monitors and collets data related to the structural health of the buildings and evaluate the structural health.


• Sai Usha Nagasri Goparaju, SVSLN Surya Suhas Vaddhiparthy, Pradeep C, Anuradha Vattem, Deepak Gangadharan "Design of an IoT System for Machine Learning Calibrated TDS Measurement in Smart Campus", accepted in WF-IoT 2021

• S. Deb, C. Rajashekar, S. Chaudhari, K. Vemuri, K. S. Rajan, "IoT Network-Based Analysis of Variations in Particulate Matter Due to COVID-19 Lockdown", accepted in CONECCT 2021

• C. Rajashekar, S. Chaudhari, "Hierarchical Clustering based Spatial Sampling of Particulate Matter Nodes in IoT Network", accepted in WF-IoT, 2021

• I. Patwardhan, S. Sara, S. Chaudhari, "Comparative evaluation of new low-cost particulatematter sensors", accepted in FiCloud 2021

• G. Ihita, S. Viswanadh. S. Yelishetty, S. Gaur, S. Chaudhari, "Security Analysis of Large Scale IoT Network for Pollution Monitoring in Urban India," accepted in WF-IoT 2021.

• A. Lall, A. Khendelwal, R. Bose, N. Bawankar, A. Dwivedi, N. Nitin, S. Chaudhari, "Low Cost Retrofitting of Analog Water Meter for Digitization," accepted in FiCloud 2021.

• Shubham Mante, Ruthwik Muppala, D Niteesh, Aftab M Hussain "Energy Monitoring Using LoRaWAN-based Smart Meters and oneM2M Platform", accepted in Sensors 2021

• Deeksha Devendra, Shubham Mante, D. Niteesh, Aftab M. Hussain "Electric Vehicle Charging Station using Open Charge Point Protocol (OCPP) and oneM2M Platform for Enhanced Functionality", accepted in TENCON 2021

• Shubham Mante, Nathalie Hernandez, Aftab Hussain, Sachin Chaudhari, Deepak Gangadharan and Thierry Monteil "5D-IoT, a Semantic Web Based Framework for Assessing IoT Data Quality", accepted in 37th ACM/SIGAPP Symposium On Applied Computing (SAC), 2022

• Md Anam Raihan, Kuntal Chattopadhyay, Aviruch Bhatia, Vishal Garg, Aftab M Hussain "Energy analysis of semi-transparent building integrated photovoltaic window in Hyderabad, India using automated parametric simulations", accepted in ICSREE 2021