LECTURES AND SEMINARS
March 2024: Prof. Mannodi will deliver an invited MSE seminar at Boston University, titled “Semiconductor Discovery using Multi-Fidelity DFT-ML and Crystal Graphs”.
Oct 2023: Prof. Mannodi delivered a webinar for the Materials Research Society titled “TUTORIAL PREVIEW SESSION: Machine Learning in Materials Science—From Basic Concepts to Active Learning”. A recording for the webinar can be found here.
Jun 2023: Prof. Mannodi delivered an invited virtual seminar titled “Discovering Novel Halide Perovskites using Multi-Fidelity Machine Learning and Graph Neural Networks” at the 3M Materials Informatics Tech Forum.
Nov 2022: Invited presentation from Prof. Mannodi for the Materials Research Society (MRS) Webinar on “Artificial Intelligence in Computational Materials Science”. Click here for webinar recording.
Sep 2022: Prof. Mannodi participated in a panel discussion as part of the Purdue Engineering Distinguished Lecture Series with invited speaker Prof. Ted Sargent. Click here for recording of the event.
Sep 2022: Invited seminar at University of Nebraska titled “Multi-Fidelity Machine Learning for Perovskite Discovery”.
July 2021: Invited presentation and panel discussion for the Materials Research Society (MRS) Webinar series: “Learn from the Early Career Faculty Webinar Series – Part I: The Application Process”. Click here for webinar recording.
Nov 2020: Invited Tutorial for nanoHUB: “Machine Learning Framework for Impurity Level Prediction in Semiconductors”. Click here for tutorial recording.
July 2019: Invited Tutorial: A. Mannodi-Kanakkithodi , "Machine Learning in Materials Informatics", Introduction to Machine Learning for Solid State Chemistry: A Practical Workshop , Colorado School of Mines, Golden, Colorado.
Oct 2018: Invited Lecture: A. Mannodi-Kanakkithodi, "Computational Modeling of Energy Nanomaterials", Summer School on Nanotechnology for Energy, IEEE Nanotechnology Materials and Devices Conference, Portland State University, Portland, Oregon.