An entropy-based framework for efficient post-disaster assessment based on crowdsourced data. - Sasan Tavakkol; Hien To; Seon Ho Kim; Patrick J. Lynett; Cyrus Shahabi (EM-GIS, 2016)

A Review on the Applications of Crowdsourcing in Human Pathology. - Roshanak Alialy; Sasan Tavakkol; Amir Ghorbani-Aghbologhi; Alireza Ghaffarieh; Seon Ho Kim; Cyrus Shahabi (CoRR, 2017)

Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time interactive simulation and visualization. - Sasan Tavakkol; Patrick J. Lynett (Comput. Phys. Commun., 2017)

Kartta Labs: Unrendering Historical Maps. - Sasan Tavakkol; Yao-Yi Chiang; Tim Waters; Feng Han; Kisalaya Prasad; Raimondas Kiveris (GeoAI@SIGSPATIAL, 2019)

Adaptive Third Order Adams-Bashforth Time Stepping Scheme for 2D Extended Boussinesq Equations. - Sasan Tavakkol; Sangyoung Son; Patrick J. Lynett (CoRR, 2019)

Piaget: A Probabilistic Inference Approach for Geolocating Historical Buildings. - Sasan Tavakkol; Cyrus Shahabi; Feng Han; Raimondas Kiveris (IEEE BigData, 2020)

An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. - Zekun Li 007; Yao-Yi Chiang; Sasan Tavakkol; Basel Shbita; Johannes H. Uhl; Stefan Leyk; Craig A. Knoblock (KDD, 2020)

Celeris Base: An interactive and immersive Boussinesq-type nearshore wave simulation software. - Sasan Tavakkol; Patrick J. Lynett (Comput. Phys. Commun., 2020)

Kartta Labs: Collaborative Time Travel. - Sasan Tavakkol; Feng Han; Brandon Mayer; Mark Phillips; Cyrus Shahabi; Yao-Yi Chiang; Raimondas Kiveris (HICSS, 2021)

Adaptive third order Adams-Bashforth time integration for extended Boussinesq equations. - Sasan Tavakkol; Sangyoung Son; Patrick J. Lynett (Comput. Phys. Commun., 2021)

Agile Modeling: From Concept to Classifier in Minutes. - Otilia Stretcu; Edward Vendrow; Kenji Hata; Krishnamurthy Viswanathan; Vittorio Ferrari; Sasan Tavakkol; Wenlei Zhou; Aditya Avinash; Enming Luo; Neil Gordon Alldrin; MohammadHossein Bateni; Gabriel Berger; et al. (ICCV, 2023)

Agile Modeling: Image Classification with Domain Experts in the Loop. - Otilia Stretcu; Edward Vendrow; Kenji Hata; Krishnamurthy Viswanathan; Vittorio Ferrari; Sasan Tavakkol; Wenlei Zhou; Aditya Avinash; Enming Luo; Neil Gordon Alldrin; MohammadHossein Bateni; Gabriel Berger; et al. (CoRR, 2023)

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. - Ke Yu; Stephen Albro; Giulia DeSalvo; Suraj Kothawade; Abdullah Rashwan; Sasan Tavakkol; Kayhan Batmanghelich; Xiaoqi Yin (CoRR, 2023)

The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering. - Shangdi Yu; Jessica Shi 001; Jamison Meindl; David Eisenstat; Xiaoen Ju; Sasan Tavakkol; Laxman Dhulipala; Jakub Lacki; Vahab Mirrokni; Julian Shun (Proc. VLDB Endow., 2024)

Less is More: Adaptive Coverage for Synthetic Training Data. - Sasan Tavakkol; Max Springer; Mohammad Hossein Bateni 001; Neslihan Bulut; Vincent Cohen-Addad; MohammadTaghi Hajiaghayi (CoRR, 2025)

SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification. - Sasan Tavakkol; Lin Chen; Max Springer; Abigail Schantz; Blaz Bratanic; Vincent Cohen-Addad; MohammadHossein Bateni (CoRR, 2025)