Assistant Professor 
Discipline of Astronomy, Astrophysics and Space Engineering 
Indian Institute of Technology Indore, Khandwa Road,
Indore 453552 

Tel: +91-7324-306870 
Bio: Dr. Saurabh Das received his Ph.D in Radiophysics and Electronics, University of Calcutta and M.Sc. in Physics from IIT Roorkee. Currently he is an Assistant Professor at Discipline of Astronomy, Astrophysics and Space Engineering, IIT Indore. Earlier he worked as an Assistant Professor at University of Calcutta and as an INSPIRE Faculty at Center for Soft Computing Research, Indian Statistical Institute and IIT Indore. He was recepients of two Young Scientist awards from International Unioun of Radio Science (URSI) in URSI-GASS, Beijing, China and AP-RASC, Seoul, South Korea. He has published 24 peer reviewed papers in reputed international journals. He also served as PI of three externally funded projects. His current research interests includes GNSS, remote sensing, wave propagation, radar meteorology, and machine learning applications in atmospheric science problems. 
  For Detailed CV Click Here

  Google Scholar Link

Key Research Areas: Radiowave propagation and satellite communication; Microwave remote sensing; Satellite navigation; Space weather and ionosphere; Climate change and tropical rain; Machine learning and data science in atmospheric and space science problems. 

Interested to do some challanging research or collaborate with me OR If you are looking for a post-doctoral opportunity in space and atmospheric science, drop a mail or visit me! 

If you are interested in pursuing a Ph.D. under me at IIT Indore,  please visit and apply HERE. I am looking bright, inquisitive and sincere students with a interest in any of these following topics: 
(1) Pulsar based deep space navigation for interplanetary travel
(2) AI/ML based Solar and Space weather forecasting
(3) GPS/GNSS remote sensing of ionosphere and atmosphere
(4) Climateinformatics
(5) Cyber Physical System using IoT and 5G for sustainable development
(6) Climate change and remote sensing of atmosphere