Dr. Azad's research interests lie in the development and application of statistical methods for the analysis of data from many domains, such as climate, epidemiological and health.
Her work on the analysis of the COVID-19 transmission in Indian territory can be seen below:
Watch Video hereMountainous terrain poses a challenge in understanding climatic patterns, because of high variability, both in space and time, associated with the mesoscale process. In order to effectively provide insights on climate data online, the Statistical Data Analysis tool below was built to visualise climatic characteristics such as rainfall, temperature, wind speed, etc. over the Himalayan region through interactive graphs and statistical metrics.
Statistical Data Analysis ToolDepartment of Applied Mathematics, Faculty of Technology, Delhi University, India worked under the supervision of Prof. Roddam Narasimha, (FRS) at Indian Institute of Science, Bangalore.
Department of Mathematics,IIT Delhi, India.
Department of Mathematics, Delhi University (DU), New Delhi, India.
Monitoring and prediction of extreme rainfall events over Himalayan region, Presented at VIT Vellore Webinar
Covid-19 transmission in India, and the road ahead towards pandemic management, Presented at Delhi University Webinar
Unravelling the social network of COVID-19 in India from 30 January to 6 April 2020, Presented at Delhi University Webinar
Visiting scientist, Technische Universität Darmstadt Institute of Telecommunications Signal Processing Group, Germany.
At the Institute for Defence Studies and Analyses (IDSA), New Delhi.
visiting scientist at Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
School of Mathematical and Statistical Sciences (SMSS),IIT Mandi, India.
SBS, IIT Mandi, India
Institute of Defense Studies and Analysis(IDSA), New Delhi, India.
Department of Applied Mathematics and Theoretical Physics (DAMTP) , University of Cambridge, UK.
Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, India
Station 1(Peeple Point)
Station 2 (Mind Tree)
Automatic weather stations at IIT Mandi are installed at two locations and are operational since last one year. Local climate data of parameters like rainfall, temperature, humidity, wind speed, and wind direction are available at Project sensor live graph & report .
Date: | Senssor Location : Peepal Point
Browser not compatible.Date: | Senssor Location : Mind Tree School
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