Dr. Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, India, under Women Scientist Scheme (WOS) by Department of Science & Technology (DST), Govt. of India. She is also founder of a company named as Aiotronics Automation Pvt.Ltd. supported under Himachal Pradesh CM Startup Scheme. She has more than 10 years of experience in the field of academics and research. She received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has done B. Tech from Himachal Pradesh University (HPU) Shimla, 2008 and M. Tech from Punjab Technical University (PTU) in Electronics and Communication Engineering,2011. She has also done MBA in Human Resource (HR),2010. She has authored more than 25 SCI-indexed articles (IEEE, T&F, ELSEVIER, and SPRINGER), SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, scatterometer and digital image analysis.
Dr Reet Kamal Tiwari joined the Centre for Glaciology, Wadia Institute of Himalayan Geology, India in 2013, as a scientist. Since March 2017, he has been an assistant professor with the Department of Civil Engineering, Indian Institute of Technology (IIT) Ropar, Rupnagar, 140 001, India. His research interests include geospatial technology applications in the fields of snow, ice and glaciers, climate change, natural resource management, environmental monitoring, and planetary sciences.
Dileep Kumar Gupta received his doctoral degree from the Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Dr. Dileep received several reputed awards like UGC-NET, GATE, UGC research fellowship and DST international travel support. He has published 30+ research articles in different peer reviewed journals/conference proceedings/book chapters. He is an expert in algorithm development for soil moisture and crop variables retrieval using different ground based and space borne active and passive microwave sensor. He is also an expert of different machine learning algorithms for remote sensing data processing.
Prof. David G. Long has been on the faculty of the Electrical and Computer Engineering department at Brigham Young University since 1990 where he teaches classes in radar, remote sensing, communications, and signal processing. He is the Director of the BYU Center for Remote Sensing and Head of the Microwave Earth Remote Sensing Laboratory. He served as Associate Dean of the BYU College of Engineering 2012-2016 and has been a principal investigator (PI) on several NASA projects in scatterometry, climate studies, rain observation, soil moisture and SAR. He is the PI for the Scatterometer Climate Record Pathfinder (www.scp.byu.edu) and is a long-term member of the Ocean Vector Winds Science Team (OVWST), among others. His publication record incl udes over 152 journal papers, three books and over 300 conference papers. He has received several NASA Award of Achievement and Team Recognition awards. He is a founding Associate Editor for IEEE Geoscience and Remote Sensing Letters. His research interests include microwave remote sensing, spaceborne scatterometry, synthetic aperture radar, signal processing, estimation theory, resolution enhancement, and polar ice