Congratulations to Atlas for receiving the Best Cartographic Design at the NACIS Conference!

Oct 13, 2023

Congratulations and well done, Atlas! You’ve once again demonstrated your talent, creativity and skill in map design! More innovative maps designed by Atlas for the 2023  North American Cartographic Information Society (NACIS) Conference >>

Congratulations to Mingda (Undergraduate) for receiving the Best Presentation Award at the ICBDT 2023 conference and for publishing the first lead-author paper!

Sep 23, 2023

Wu M.D., Huang Q., Sui T., Wu M.L., Pixel-wise Wildfire Burn Severity Classification with Bi-temporal Sentinel-2 Data and Deep Learning. In Proceedings of the 6th International Conference on Big Data Technologies (ICBDT 2023) Conference, Sep 22-24, 2023, Qingdao, China, pg.1-6. (Under publication) Paper  Slides

Huge congratulations, Mingda! You’ve achieved remarkable progress in your research over the past year! Keep up the great work! 🌟🎉👏

Congratulations to Meiliu on the UCGIS Student Paper Competition Award (First Place)!

June 8, 2023

Meiliu Wu won the first place of student paper competition awards during her first attendance at the University Consortium for Geographic Information Science (UCGIS) symposium! Bravo, Meiliu! Your achievement is truly outstanding! 🌟🎉👏

Competition paper: “Measuring Access Inequality in a Hybrid Physical-Virtual World: A Case Study of Racial Disparity of Healthcare Access During CoVID-19”

Congratulation to Boyuan and Yang on their graduation!

May 16, 2023

Congratulations, Boyuan and Yang, on your well-deserved graduation! Boyuan graduates with honor and  will be taking his academic journey to the next level  by pursuing a Master’s degree in Computer Science, at UW-Madison, with the added distinction of funding. Similarly, Yang has received numerous offers and has decided to continue his graduate study within the Computer Science department, at UC San Diego.

Congratulations once again, Boyuan and Yang, on this significant milestone in your lives. Best wishes for a prosperous and fulfilling journey ahead!


Congratulations to Atlas and Meiliu on their student competition awards!

April 1, 2023

Chenxiao (Atlas) Guo won the Arther Robinson Award (Best Print Map) at the 50th Annual CaGIS Map Design Competition!

Award Map: Visualizing Historical Hurricanes in the Continuous United States (1851-2021)

Meiliu Wu won TWO student paper competition awards from the CyberInfrastructure Specialty Group (CISG), and the Geographic Information Science and Systems (GISS) Specialty Group at AAG!

CISG award paper: “Vision-Language Multimodal Learning for Mixed Land Use Measurement and Mapping with Street View Images.” (1st place)

GISS award paper: “Revealing Racial-Ethnic Segregation with Individual Experienced Segregation Indices Based on Social Media Data: A Case Study in Los Angeles-Long Beach-Anaheim” (2nd place)

Well done! Atlas and Meiliu!


New Publication on Vision Language Multi-modal Learning Led by Meiliu: IM2City: image geo-localization via multi-modal learning

Sep 21, 2022


Wu, M. and Huang, Q., 2022, November. IM2City: image geo-localization via multi-modal learning. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (pp. 50-61). Download

New Publication on Scientific Report Led by Xinyi: Graph Neural Networks for Individual Travel Activity Inference

Aug 29, 2022


Liu X., Wu M., Peng B., and Huang Q., 2022. Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data. Scientific Report. DOI : 10.1038/s41598-022-19441-9. Download

More details >>Activity knowledge discovery: Modelling and unfolding activity space and types of social media and mobile users

Congratulation to Bo, Jamp and Yuehan on their graduation!

May 16, 2022

Congratulations, Bo, Jamp, and Yuehan! Your graduation is just the beginning of an exciting adventure in your life. Here’s to a future filled with boundless success, constant growth, and unending fulfillment!

Students’ Milestone: Vicky (Senior) and Boyuan (Junior) had their first lead-author paper accepted

April 4, 2022

Vicky: Tianhui (Vicky) Cai, Hongyu Gan, Bo Peng, Qunying Huang, Zhiqiang Zou, 2022. Real-time Classification of Disaster Images from Social Media with a Self-supervised Learning Framework. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17 – 22 July, 2022, Kuala Lumpur, Malaysia.

Boyuan:  Boyuan Zou, Bo Peng, Qunying Huang, 2022. Flood Depth Assessment with Location-Based Social Networks Data and Google Street View — a Case Study with Buildings as Reference Objects. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17 – 22 July, 2022, Kuala Lumpur, Malaysia.

Congrats, Vicky and Boyuan!


New Grant from USDA: Developing an integrated deep learning model framework for county-level crop yield prediction

March 18, 2022

Collaborating with Drs. Zhou Zhang (UW-Madison, PI) and Zhengwei Yang (USDA NASS, Co-PI), Dr. Huang (Co-PI) recently received funding for a project titled “DSFAS-AI: Developing an integrated deep learning model framework for county-level crop yield prediction in support of USDA NASS operation” through NIFA AFRI’s Data Science for Food and Agricultural Systems program. It was among 13 projects selected to share $7 million in funding.


Student’s Achievement: Meiliu (1st year Ph.D) won John Odland student paper competition, SAM, AAG

Feb 26, 2022

Congratulations to Meiliu, who won the  John Odland student paper competition, hosted by the Spatial Analysis and Modeling specialty group of the AAG annual meeting.

In Nov, 2021, Meiliu also won the CPGIS Student Paper Competition, on the 28th International Conference on Geoinformatics.

Meanwhile, Meiliu had her first lead-author paper published this Jan.

Wu, M. and Huang, Q., 2022. Human movement patterns of different racial-ethnic and economic groups in US top 50 populated cities: What can social media tell us about isolation?. Annals of GIS, pp.1-23.  DOI: 10.1080/19475683.2022.2026471.  Download

Keep it up, Meiliu!

Student’s Milestone: Bo Peng successfully defended his Ph.D dissertation!

Dec 10, 2021

Big congratulations to Bo who successfully defended his dissertation, titled “Geography Informed Machine Learning for Remote Sensing of Disasters: A Case Study of Floods”. Next, Bo will start a new chapter of his career at the PAII Inc as a Senior Research Scientist in CA, continuing the work of leveraging GeoAI, Computer Vision and Remote Sensing for Social Goods! Well done, Dr. Peng!

New Publication on IJDE: Situational awareness information extraction with Geographic context-aware text mining

August 31, 2021

Reference: Scheele C., Yu M. and Huang Q., 2021. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features. International Journal of Digital Earth, pp.1-23. DOI:  Download

More details >>

Hiring: 3~4 student hourly positions for remote sensing data annotation and processing

Feb 12, 2021

We are seeking several hourly students to help annotate (label) a set of satellite imagery for the research of AI for Earth Observation. The responsibilities will include interacting with researchers to understand the labels, learning the use of the labeling platform, and labeling satellite images at the pixel level.

More details>>

New Publication on J-STARS Lead by Bo: Real-time urban flood mapping with self-supervised learning framework

Feb 2, 2021


  • Peng B., Huang Q., Vongkusolkit J., Gao S., Wright D., Fang Z. and Qiang Y., 2021. Urban Flood Mapping with Bi-temporal Multispectral Imagery via a Self-supervised Learning Framework. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 14: 2001-2016. doi: 10.1109/JSTARS.2020.3047677.

More details >>

Altas’s work was featured in multiple news

Nov 9, 2020

A geographic shift: Majority of Dane County COVID-19 cases now outside Madison…. Source >>

‘Improve their awareness of danger’: UW-Madison Ph.D. student creates COVID-19 data dashboard……Source >>

More details >>

COVID-19 Data Dashboard

Oct 22, 2020

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New Publication

Oct 22, 2020

Review paper on situational awareness extraction during natural hazards through social media accepted in Annals of GIS 2020

Reference: Jirapa Vongkusolkit & Qunying Huang (2020) Situational awareness extraction: a comprehensive review of social media data classification during natural hazards, Annals of GIS, DOI: 10.1080/19475683.2020.1817146

More details >>

Special Issues

August 25, 2020

IJGI Special Issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics”

We are inviting submissions to a new special issue “Scaling, Spatio-Temporal Modeling, and Crisis Informatics” by the ISPRS International Journal of Geo-Information. Articles being submitted should involve advancement to theories and methods and/or applications integrating spatial and temporal datasets at varying scales for crisis informatics. The articles should leverage existing theories and/or develop new theories of scaling and spatiotemporal modeling while taking advantage of big data theories and technologies to aid with crisis/disaster preparedness, mitigation, recovery, and resilience.

This Special Issue is scheduled to be published by 30 April 2021. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website.

More details >>


August 25, 2020

IEEE ICMLA 2020 Special Session on AI with Geographic Information Systems for Social Good

The purpose of the IEEE ICMLA 2020 workshop on AI with Geographic Information Systems for Social Good is to disseminate the research focusing on social problems for which the synthesis of AI and GIS has the potential to offer innovative solutions. This workshop aims to bring together researchers and practitioners across AI, GIS, and a range of application domains on the frontiers of frameworks, theories, and methods.

The workshop will take place on December 14-17, 2020,  in Miami, Florida, USA. 

More details >>


Congratulations to Bo on his Microsoft AI for Earth Grant

May 6, 2020

Project: Self-Supervised Deep Learning and Computer Vision for Real-Time Large-Scale High-Definition Flood Extent Mapping (2020 – 2022; $30000)

Great job, Bo!