Group News

• 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?

• 12/18/2019: Our paper in Nano Letters has been featured in many news outlets : CMU, Phys.ORG, AzoCleantech, PopularMechanics, Nanowerk.

• 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