
Fighting COVID-19 with deep graphs
The goal of the knowledge graph by Professor George Karypis is to narrow the list of drugs that could treat COVID-19.
Research in this area explores the development and analysis of parallel algorithms for distributed or multiprocessor systems. These methods are effective for data intensive applications and/or computationally intensive applications such as optimization, graph partitioning, data mining, and solving sparse linear equations. Specific research in this field focuses on grid computing, parallel algorithm design, performance analysis, and sparse matrix algorithms for large-scale scientific and engineering simulations. Software libraries developed by the group are used extensively world-wide in industry, academia and research labs.
Faculty






Labs and selected projects
- DCSG: Distributed Computing Systems Group Jon Weissman
- pARMS: parallel Algebraic Recursive Multilevel Solvers Yousef Saad
- UMN Machine Learning Seminar Series
Related centers and programs
Latest research projects, publications, and talks

Conversational Agent for Daily Living Assessment Coaching [conference paper]
Posted January 7, 2021
Aditya Gaydhani (M.S. student), Raymond Finzel, Sheena Dufresne, Maria Gini (professor), Serguei Pakhomov
AI4Function Workshop, International Joint Conference on Artificial Intelligence (IJCAI)

A National Research Agenda for Intelligent Infrastructure: 2021 Update [preprint]
Posted January 1, 2021
Daniel Lopresti, Shashi Shekhar (professor)

More Trees or Larger Trees: Parallelizing Monte Carlo Tree Search [journal]
Posted December 30, 2020
Erik S Steinmetz (Ph.D. 2016), Maria Gini (professor)
IEEE Transactions on Games

The structure of behavioral data [preprint]
Posted December 23, 2020
Aurélien Defossez, Morteza Ansarinia, Brice Clocher, Emmanuel Schmück, Paul Schrater (associate professor), Pedro Cardoso-Leite

Robotics Enabling the Workforce [preprint]
Posted December 16, 2020
Henrik Christensen, Maria Gini (professor), Odest Chadwicke Jenkins, Holly Yanco

Distant-Supervised Slot-Filling for E-Commerce Queries [preprint]
Posted December 15, 2020
Saurav Manchanda (Ph.D. 2020), Mohit Sharma (Ph.D. 2017), George Karypis (professor)

Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders [preprint]
Posted December 13, 2020
Sabirat Rubya (Ph.D. student), Joseph Numainville (undergraduate research assistant), Svetlana Yarosh (associate professor)

RegulaTOR: A Powerful Website Fingerprinting Defense [preprint]
Posted December 11, 2020
James K Holland (Ph.D. student), Nicholas Hopper (professor)

Artificial Intelligence & Cooperation [preprint]
Posted December 10, 2020
Elisa Bertino, Finale Doshi-Velez, Maria Gini (professor), Daniel Lopresti, David Parkes

A Generative Approach for Detection-driven Underwater Image Enhancement [preprint]
Posted December 10, 2020
Chelsey Edge (Ph.D. student), Md Jahidul Islam (Ph.D. student), Christopher Morse (undergraduate research assistant), Junaed Sattar (assistant professor)
More About Research areas
- Architectures, Compiler Optimization, and Embedded Systems
- Bioinformatics and Computational Biology
- Data Mining, Databases, and Geographical Information Systems
- Graphics and Immersive Computing
- Human Computer Interaction (HCI)
- Networks, Distributed Systems, and Security
- Robotics and Artificial Intelligence
- Software Engineering and Programming Languages
- Theoretical Foundations