Distinguished Lecturers

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: 2024-2026

DR. 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

DR. 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

DR. 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

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

DR. 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. 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: 2025-2027

DR. FLORENCE TUPIN

LTCI, Télécom Paris, Paris, France

(1) Deep learning for SAR image processing

Languages Spoken: English, French

Term: 2025-2026

Available Associate Distinguished Lecturers

DR. 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

DR. 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

DR. 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, Italian

Term: 2025-2026

DR. DAVID SCHVARTZMAN

College of Atmospheric and Geographic Sciences at the University of Oklahoma

(1) Advanced Radar Research Center (ARRC), School of Meteorology (SoM)and School of Electrical and Computer Engineering (ECE), The University of Oklahoma

Languages Spoken: English

Term: 2025-2026