Michael Grossberg

Michael D. Grossberg is an Assistant Professor in the Department of Computer Science at the City College of New York (CUNY). He is affiliated with the NOAA-CREST Institute and the Computational Science of Data Intensive Remote Sensing (CS:dir$) group. His research spans interdisciplinary fields including computer vision, data science, remote sensing, climate science, and medical imaging. Grossberg holds a BA in Mathematics from the University of Pennsylvania, a PhD in Mathematics from MIT, and has held academic positions at Columbia University before joining CCNY.

Education:

• Bachelor of Arts in Mathematics, University of Pennsylvania
• Doctor of Philosophy in Mathematics, Massachusetts Institute of Technology
• Postdoctoral Fellow at Hebrew University (Jerusalem)
• Assistant Professor of Mathematics, Columbia University
• Instructor and Research Scientist in Computer Science, Columbia University

Research Interests: Grossberg's work focuses on applying computational methods to solve challenges in science and engineering. Key areas include:

• Quantitative image restoration for satellite data (e.g., MODIS, VIIRS)
• Machine learning applications in climate modeling and sea ice classification
• Semi-automatic medical image segmentation for radiation treatment planning
• Data visualization tools for climate and remote sensing data
• Lossless compression algorithms for Earth science imagers

His research is supported by grants from NIH, NOAA, NASA, and the Office of Naval Research.

Grants & Collaborations:

• NIH P20 grant for medical image segmentation
• NOAA-funded projects on satellite data restoration and compression
• Climate research collaborations with Columbia University and Memorial Sloan Kettering Cancer Center

Labs & Teams: Grossberg leads the CCNY research lab focusing on interdisciplinary projects. Collaborators include Irina Gladkova (NOAA-CREST), Gikas Mageras (MSKCC), and climate scientist Niko Krakauer. His lab supports student projects in web development, data science, and medical imaging through programs like the NOAA-CREST HIRES initiative.