LECTURES AND SEMINARS

• March 2025: Prof. Mannodi delivered an invited webinar titled "Understanding Defects in CdSeTe Solar Cells using First Principles Simulations and Machine Learning" as part of the U.S. Manufacturing of Advanced Cadmium Telluride Photovoltaics (US-MAC) March Hot Topics Meeting.

• Feb 2025: Prof. Mannodi delivered an invited MSE seminar at University of Connecticut titled "Rational Computational Design of Next-Generation Semiconductors".

• Jan 2025: Prof. Mannodi delivered a webinar for the Materials Research Society titled "Machine Learning in Materials Science—From Basic Concepts to Active Learning, Tutorial Preview Session". Recording can be found here.

• Aug 2024: Prof. Mannodi delivered an invited talk titled “Exploring Perovskite Structures for Solar Cells Using First Principles Simulations and Machine Learning” at the Solid State Studies in Ceramics Gordon Research Conference in Mount Holyoke College, Massachusetts.

• March 2024: Prof. Mannodi delivered 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.