Mojtaba is currently in San Bernardino (CA) for the 2019 Reunion Conference for IPAM’s Workshop on Machine Learning for Many-Particle Systems. Mojtaba will present a talk titled “Robust and Generalized Structure-Property Relationships by Redesigning Machine Learning Training Sets” on Tuesday morning.
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Aditya, Gaurav, and Johannes are currently in Atlanta (GA) for the 2019 Machine Learning in Science and Engineering conference, hosted by Georgia Tech. Aditya will present a poster titled “Machine Learning Models for Hansen Solubility Parameters and their Application in Predicting Solvent-Polymer Interactions” and Gaurav on “Tailoring Genetic Algorithm for Data-Driven Research in Chemistry” tomorrow. Johannes will present an invited talk discussing “Advancing Machine Learning Methodology for Chemistry” in the Session on Machine Learning in Chemistry, Biochemistry, and Materials on Tuesday as well, and he will be one of three panelists on Wednesday’s panel on Reproducibility of Machine Learning in
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Johannes is currently in Alexandria (VA) for the 2019 NSF CISE CAREER Workshop. Later today, he will give an invited talk titled “A CAREER in Computational and Data-Driven Chemistry” and serve as one of the four panelists.
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Johannes is currently in Houston (TX) for the 2019 Data Science in Materials Workshop. Tomorrow morning, he will give an invited talk titled “How to Make Data Science Work in the Chemical and Materials Domain”.
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Mojtaba and Johannes are currently in Orlando (FL) for the 257th ACS National Meeting. Mojtaba will present a talk titled “A Novel Active Learning Approach for Deep Learning of Chemical Data: Extracting More Chemical Insights by Choosing Less” (CINF 73) in the CINF Division Symposium on Deep Learning on Tuesday, and another one on Wednesday titled “Advancing Molecular Feature Representation and Machine Learning Design Methodologies Using the ChemML Program Suite” (PHYS 299) in the PHYS Division Symposium on on Sustainable Software for Computational Molecular Science. Johannes will present on “Modeling, Virtual High-Throughput Screening, and Machine Learning of Deep Eutectic Solvents”
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Johannes is currently in Orlando (FL) where he is an invited participant of the 2019 NSF OAC Workshop on FAIR Publishing Guidelines for Spectral Data and Chemical Structures .
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Johannes was invited as a panelist in the Session on Computational Materials Design during this year’s “Foundations of Process Analytics and Machine learning” (FOPAM) conference, which will be held on August 5-9 in Raleigh, North Carolina.
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