Distinguished Lecturers Program
Connecting Global Expertise with Local GRSS Communities
The IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecturers Program (DLP) connects GRSS Chapters worldwide with leading professionals and practitioners in geoscience and remote sensing.
Through in-person and virtual lectures, the program brings academic and leading-edge fundamental research in geoscience and remote sensing directly to local chapters, student groups, and regional communities.
The Distinguished Lecturers Program strengthens technical excellence, supports student engagement, and fosters meaningful collaboration across academia, industry, and government.
Who Are GRSS Distinguished Lecturers?
GRSS appoints two categories of speakers:
Distinguished Lecturers
Distinguished Lecturers are internationally recognized leaders in geoscience and remote sensing. Many are IEEE Fellows or have made foundational contributions that have significantly advanced the field. They are known not only for their technical excellence, but also for their ability to inspire and mentor the next generation of researchers and practitioners.
Associate Distinguished Lecturers
Associate Distinguished Lecturers are rising leaders who are early- to mid-career professionals with exceptional accomplishments. They often bring expertise in emerging techniques, innovative observing campaigns, and rapidly evolving research areas. Associate Distinguished Lecturers provide fresh perspectives and dynamic engagement with students and early-career professionals.
Distinguished Lecturers and Associate Distinguished Lecturers may come from academia, industry, or government and often bridge multiple sectors throughout their careers.
Please see the information for each available Distinguished Lecturer and Associate Distinguished Lecturer below.
Interested in Learning More about the Process?
You can request a Distinguished Lecturer by clicking the “HOW TO BOOK A SPEAKER” button below.
Once you submit the form, the Disinterested Lecturer Chair will reach out to you with the next step and to set up the visit.
At the end of a visit, the Chapter completes the “GRSS DLP Chapter Report” form. This form helps GRSS identify opportunities to improve the program.
Distinguished Lecturers and Associate Distinguished Lecturers complete a “GRSS DLP Speaker Report” form following their visit.
Past Distinguished Lecturers
Explore our Past Distinguished Lecturers to learn more about the distinguished experts who have shared their knowledge and experience with GRSS Chapters around the world.
Past Distinguished Lecturers – GRSS-IEEE
Questions?
For questions about the Distinguished Lecturers Program, please contact:
Distinguished Lecturers Program Chair grss-dl-chair@ieee.org
Available Distinguished Lecturers
Dr. Kumar Vijay Mishra
United States Army Research Laboratory (ARL)
(1) Signal Processing for Joint Radar-Communications; (2) Sparse Reconstruction for Radar Remote Sensing; (3) Deep learning for mmWave and THz beamforming applications; (4) Metasurface antennas for radar and communications ____________________________________ Languages Spoken: English, Hindi ____________________________________ Term: 2024-2027
Prof. Gulab Singh
Centre of Studies in Resources Engineering (CSRE) at the Indian Institute of Technology Bombay (IIT Bombay).
(1) Radar Remote Sensing of the Earth’s Cryosphere; (2) Radar Polarimetry Methods for Diagnosis of Geo-/Bio-Environmental Health ____________________________________ Languages Spoken: English, Hindi ____________________________________ Term: 2022-2025
James L. Garrison
School of Aeronautics and Astronautics at Purdue University
(1) Exploiting signals of opportunity for microwave remote sensing ____________________________________ Languages Spoken: English ____________________________________ Term: 2024-2026
Anabella Ferral
Gulich Institute At the National Council of Scientific and Technical Research of Argentina (CONICET)
(1) Remote sensing tools to monitor inland water quality indicators within the framework of the 2030 Sustainable Development Goals; (2) Integration of field and remote sensing data to monitor water and snow pollution in the frame of global change ____________________________________ Languages Spoken: Spanish, English ____________________________________ Term: 2025-2026
Florence Tupin
LTCI, Télécom Paris, Paris, France
(1) Deep learning for SAR image processing ____________________________________ Languages Spoken: English, French ____________________________________ Term: 2025-2026
Saurabh Prasad
Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
(1) Advances in GeoAI for Multi-Channel, Multi-Scale and Multi-Temporal Image Analysis ____________________________________ Languages Spoken: English ____________________________________ Term: 2025-2026
Lizhe Wang
School of Computer Science, China University of Geosciences, Wuhan 430078, China
(1) Remote Sensing Information Processing for Sustainable Development Goals in Urban Environments; (2) Remote Sensing Image Intelligence Processing for Geological Applications ____________________________________ Languages Spoken: Chinese, English ____________________________________ Term: 2025-2026
Dr. Michelangelo Villano
NewSpace SAR Research Group German Aerospace Center (DLR), Microwaves and Radar Institute, Weßling, Germany
(1) Spaceborne Synthetic Aperture Radar (SAR) Concepts Based on Small Antennas ____________________________________ Languages Spoken: English ____________________________________ Term: 2025-2026
Josiane Zerubia
INRIA
(1) Learning Point Process models for object detection in remote sensing; (2) Fully convolutional and feedforward networks for the semantic segmentation of remotely sensed images ____________________________________ Languages Spoken: English, French ____________________________________ Term: 2025-2026
Available Associate Distinguished Lecturers
Gerardo Di Martino
University of Naples Federico II, Italy
(1) SyntheticAperture Radar Acquisition Modes for Maritime Surveillance; (2) Simulation-based benchmarkingfor SARspeckle filtering ____________________________________ Languages Spoken: English, Italian ____________________________________ Term: 2025-2026
Francescopaolo Sica
University of the Bundeswehr Munich, Germany
(1) Machine learning for SAR image analysis; (2) Integrating deep learning into SAR processing: from reconstruction to interpretation; (3) SAR representation learning: from supervised to self-supervised approaches and their synergies ____________________________________ Languages Spoken: English, German ____________________________________ Term: 2025-2026
Ryo Natsuaki
Department of Electrical Engineering and Information Systems, The University of Tokyo, Japan
(1) Principles and Recent Progress in Synthetic Aperture Radar (SAR) and Interferometric SAR ____________________________________ Languages Spoken: English, Japanese ____________________________________ Term: 2025-2026
David Schvartzman
College of Atmospheric and Geographic Sciences at the University of Oklahom
(1) Advanced Radar Research Center (ARRC), School of Meteorology (SoM)and School of Electrical and Computer Engineering (ECE), TheUniversity ofOklahoma ____________________________________ Languages Spoken: English ____________________________________ Term: 2025-2026
