Computational Intelligence for Remotely Sensed Data

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Ahmedabad University in association with IEEE Computational Intelligence Society Chapter at IEEE Gujarat Section has organised the talk. The details are as follows and if you are interested please register at  https://forms.gle/b4eMgUn81FgZV8Rc8. We will mail you the registration link. 
 
Title: Computational Intelligence for Remotely Sensed Data
Abstract: The talk will cover the use of computational intelligence  in solving remote sensing problems. The talk will cover classification, related data processing and global optimisation techniques commonly core to computational intelligence. It will discuss the use of Neural Networks to solve various challenges in remote sensing.
Speaker: Dr Deb Jyoti Dhar,  Outstanding Scientist and Group Director of  Signal & Image Processing Group in Space Applications Centre, SAC/ISRO Ahmedabad,
Date: 28.1.2021
Time: 11.00 am to 12.00 pm (45 Mins. talk + 15 Mins. of Q&A.

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  • Date: 28 Jan 2021
  • Time: 05:30 AM UTC to 06:30 AM UTC
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  Speakers

Dr Deb Jyoti Dhar, 

Topic:

Computational Intelligence for Remotely Sensed Data

Dr. Deb Jyoti Dhar

Outstanding Scientist and Group Director of  Signal & Image Processing Group in Space Applications Centre, SAC/ISRO Ahmedabad

Biography:

Debajyoti Dhar, Outstanding Scientist and Group Director of  Signal & Image Processing Group in Space Applications Centre, SAC/ISRO Ahmedabad, obtained BE in Computer Science & Technology from Indian Institute of Engineering Science & Technology, (formally Bengal Engineering College , Calcutta University)  in 1987 and thereafter got Master Of  Science in Computer Science  from BITS, Pilani during service in ISRO. During the span of over 30 years with ISRO, he worked in system programming, device driver, Unix Kernel programming. He was a pioneer in development of Image Processing, Image Analysis and Satellite Data Processing applications using C in Unix platform in ISRO in early 90s.   Although his forte was system programming, parallel and distributed processing, and Process Scheduling in Unix Kernel programming, he took special interest in Applied Mathematics and Computer Vision to become Core Designer for Geometric Correction techniques for Optical Remote Sensing Missions.  He has also contributed significantly in meteorological data processing systems development for INSAT-3D and 3DR. He has been supervising the algorithms and techniques development for ISRO’s Earth Observations and Planetary Missions. His research interests are geometric correction of airborne and space borne sensors, System Software, Computer Vision, Machine and Deep Learning, Artificial Intelligence and Software Engineering. 




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