Arts & Sciences
Big Data • Quantum Computation • Computational Relativity & Astrophysics • Machine Learning Applications • Digital Humanities & Art • Mathematical Modeling
Aidan Chatwin-Davies, Rob Coyne, Gaurav Khanna, Len Kahn, Peter Nightingale, Michael Puerrer, Jing Wu, Joan Peckham, Sarah Brown, Abdeltawab Hendawi, Nancy Eaton, James Baglama, Tom Bella, Noah Daniels, Nina Kajiji, Gavino Puggioni, Lubos Thoma, Marco Alvarez, Lutz Hamel, Vanita Srinivasa, Jonathan Chavez-Casillas, Vasilije Perovic, Mustafa Kulenovic, Mark Comford, Natalia Katenka, Yinjiao Ye, Fang Wang, Lisa Dipippo, Wenchao Ge, Dugan Hayes, Nhu Nguyen, Daniel Thomas, Tom Stubblefield, Travess Smalley, Madison Jones, Ying Xiaong, Annu Mathew, Ammina Kothari, Joon Kyoung Kim, Krishna Venkatasubramanian, Kelum Gajamannage, Haihan Yu, David Heskitt, Ayse Sharland, Daniel Huh, Pengyu Liu, Kaleel Mahmood, Jaewoong Jung, Shaun Wallace, Derek Davis, Deborah Ferguson.
Business
Big Data • Computational Finance • Machine Learning Applications
Gordon Dash, Seung Shin, Drew Zhang, Georges Tsafack Kemassong, Devendra Kale, Mahtab Kouhizadeh, Zafer Yuksel, Choonsik Lee, Stephen Atlas.
Engineering
Materials Research • HPC • Engineering Optimization • Molecular Dynamics • Computational Mechanics
Aser Abbas, Sumanta Das, Helio Matos, Resit Sendag, Bin Li, Ashutosh Giri, Michael Greenfield, Yalda Shahriari, Vinka Craver, Manbir Sodhi, Lora van Uffelen, Stephan Grilli, Reza Hashemi, Angelo Lucia, Tao Wei, Hui Lin, Jason Dahl, Musa Jouaneh, Bradford Knight, Liqun Zhang, Che-Wei Chang, Qing Yang, Kunal Mankogiya, Jim Miller, Carl-Ernst Rousseau, Yeonho Jeong, Megan Chiovaro, Arjit Bose, Sungho Kim, Stephen Licht, Vahid Jahangiri, Dhaval Solanki.
Environment & Life Sciences
Big Data • Computational Molecular Ecology • Computational Evolutionary Genetics • Machine Learning Applications
Jose Amador, Roland Duhaime, Marta Gomez-Chiarri, Maria Hoffman, Bethany Jenkins, Jason Kolbe, Jordan Lally, Chris Lane, Thomas McGreevy, Carlos Prada, Jon Puritz, Hollie Putnam, Kathryn Ramsey, Matthew Ramsey, Alan Rothman, Rachel Schwartz, Ying Zhang, Scott McWilliams, Dina Proestou, Brian Savage, Pengfei Liu, Lenore Martin, Coleen Suckling, Andy Davies, Jodi Camberg, Hui Zhou, Corey Lang, Carlos Prada Montoya, Kathleen Carroll, Nic Fisk, Alison Roberts, Laura Eme, Claudia Fallini, Ambarish Karmalkar.
Nursing
Jennifer Mammen, Dahianna Lopez.
Health Sciences
Big Data • Computational Social Science • Machine Learning Applications
Maya Vadiveloo, Lyn Stein, Ted Walls, Manshu Yang, Von Marie Rodriguez-Guzman, Chris Urban, Sue K. Adams.
Oceanography
Big Data • Physical Oceanography • Seismology • Machine Learning Applications
Roxanne Beinart, Tatiana Rynearson, Susanne Menden-Deuer, Steve D’Hondt, Isaac Ginis, Chris Kincaid, Niall Howlett, Yang Shen, Meng Wei, Peter Cornillon, Brice Loose, Kelton McMahon, Tetsu Hara, Lew Rothstein, Keisuke Inomura, Jaime Palter, Brian Gerber, Colleen Mouw, Kristy Lewis, Kathleen Donohue, Nicholas Pizzo.
Pharmacy
Ashley Buchanan, Christopher Hemme, Matt Bertin, David Rowley, Sheron Wen, Chang Liu, Mark Regine.
Recent News:
- CCR AI Lab Summer Workshops
Below are the details of our CCR / AI Lab summer workshops. Again, these are open to faculty, staff and students and are totally free. Please feel free forward this announcement to anyone who may benefit. As usual, you can find these on the URI events calendar (and subscribe): https://events.uri.edu/group/ai Or here is a webpage link: […] - CCR affiliate publishes Nature paper
Dr. Liqun Zhang, a URI computational scientist in Chemical Engineering and CCR affiliate, just published a Nature paper titled “Interaction and dynamics of chemokine receptor CXCR4 binding with CXCL12 and hBD-3“. The paper is open access and is available here: https://www.nature.com/articles/s42004-024-01280-6 Dr. Zhang is a very heavy user of HPC at URI. She uses Unity […] - URI is part of the Open Storage Network for research data storage and sharing
URI has been part of the National Science Foundation’s Open Storage Network (OSN) for 3 years. - CCR supports research in Environmental Economics
Prof. Corey Lang and postdoctoral researcher Jarron VanCeylon, supported by the CCR, recently published a paper in the Journal of Environmental Economics and Management exploring how homebuyers’ preferences for environmental amenities align with their political leanings. - CCR AI/ML Seminar: Machine Learning Approaches for Characterizing Global Sea Surface Temperature Fields
The Center for Computational Research is planning a series of monthly talks on AI/ML techniques and applications across various scientific domains