02/24/2021: Prof. Farimani will be giving an invited talk at Mechanical Engineering department at Rice University : "Mechanics Meet Artificial Intelligence".
01/19/2021: Prof. Farimani will be giving an invited talk at Advanced Research Project Agency-Energy (ARPA-E) on : "Deep Reinforcement Learning in Material Discovery for Energy Applications".
11/12/2020: Prof. Farimani will be giving an invited talk at AI-DRIVEN DISCOVERY IN BIOPHYSICS: "How AI Can Discover and Engineer Biology: From Antibody Design To Cryo-EM Super Resolution".
10/06/2020: Prof. Farimani will be giving an invited talk at Newyork Academy of Science: AI for Materials: From Discovery to Production with the title: "Orbital Graph Convolutional Neural Network for Material Property Prediction".
10/01/2020: Prof. Farimani will be giving an invited talk at Georgia Institute of Technology Mechanical Engineering on "Mechanics Meet Artificial Intelligence".
09/29/2020: Prof. Farimani will be giving an invited talk at PennState University Mechanical Engineering Seminar on "Artificial Intelligence in Mechanical Engineering".
09/08/2020: Congratulations to Rishikesh Magar and MReza for the acceptence of their paper in Physical Review Materials
07/01/2020: Congratulations to Zhonglin (Johnny) and Vince for the acceptence of their paper in ACS Energy Letters.
05/06/2020: Professor Farimani will be teaching the tutorial on " Introduction to Machine Learning and Reinforcement Learning for Precision Engineers" for Precision Engineers at ASPE Spring Meeting at MIT.
03/10/2020: Professor Farimani will give an invited talk at NSF workshop on New Frontiers of Thermal Transport in Orlando, Florida.
02/10/2020: Professor Farimani co-organized an NSF workshop on Exuberance of Machine Learning in Transport Phenomena in Dallas, TX. Please submit your work in our poster session.
01/09/2020: Professor Farimani will present lab research on using deep learning in health and clinical data and its connection protein sequences at Gordon Research Conference: From Protein Sequences to Clinical Data: How Deep Learning Can Bridge the Gap with Functional Mapping?
11/30/2019: Congratulations to Zhonglin (Johnny) and Vince for the acceptence of their paper in Nano Letters
11/16/2019: Prof. Farimani will be giving an invited talk at MolssI workshop on lab's recent advances in developing graph convolution methods in material discovery
10/28/2019: Prof. Farimani will be giving a workshop on precision engineering conference: "Introduction to Machine Learning for Precision Engineers".
10/14/2019: Prof. Farimani will be giving an invited talk at Michigan State University Machine Learning Seminar on "Deep Learning of Transport Phenomena and Material Discovery".
09/17/2019: Prof. Farimani will be giving an invited talk at University of Pittsburgh Mechanical Engineering on "Deep Learning of Transport Phenomena and Material Discovery".
08/12/2019: Prof. Farimani will be the instructor of AI summer school hosted by Autodesk AI division in Toronto.
07/09/2019: Prof. Farimani will chair the Mechanical Engineering track of Machine Learning in Science and Engineering at Georgia Tech .
5/23/2019: Prof. Farimani will present "Learning Spatio-temporal Convective Transport" in the data-science conference at Lehigh University
04/26/2019: Congratulations to Nina Prakash and Bryant Porras for winning Summer Undergraduate Fellowship. Keep up the great work!
4/15/2019: Prof. Farimani will present " Machine Learning in Molecular Systems: From Conformational Changes in GPCRs to Small Molecule Discovery" at Theoretical and Computational Biophysics group at University of Illinois at Urbana-Champaign.
4/05/2019: Prof. Farimani will present " Creative Robots with Deep Reinforcement Learning" at Robotic Institute at Carnegie Mellon University.
1/25/2019: Professor Farimani will be presenting on the fluid mechanics and deep learning in an invited talk at Los Alamos National Lab
1/15/2019: Juan and Jason joined our team, welcome!
12/03/2018: Professor Farimani presented lab research at CECAM workshop in Paris, France.
10/30/2018: Vince and Nina joined our team, welcome!
10/15/2018: MAIL is ready to go! with 8 new computers equipped with Nvidia 1080 ti graphic cards! Happy Machine Learning!
10/01/2018: Seven master students joined MAIL, welcome all aboard! Check out our team growing
08/28/2018: Fall 2018, professor Farimani is teaching Machine Learning and Artificial Intelligence
I’m featured on the NVIDIA news for my Ebola Antibody design project.
I won Stanly I. Weis Best Thesis award in ME department, UIUC.
I’m recognized as distinguished graduate student at Mechanical Engineering at University of Illinois at Urbana-Champaign
Our work on water desalination with MoS2 nanopore in nature communication has been featured in many news outlet including:
I’m featured in the department of Mechanical Science and Engineering at University of Illinois
Our work on DNA sequencing using MoS2 nanopore in ACS Nano is highlighted in the following News/journal outlets:
2. UIUC News
6. Physics News
Our work on Graphene Field Effect Transistor in Nano Letters is highlighted in the following News outlets