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Technische Universität München
Technische Universität München

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Gohar Ali Siddiqui, M.Sc.

Technical University of Munich

Place of employment

Associate Professorship of Simulation of Nanosystems for Energy Conversion (Prof. Gagliardi)

Work:
Hans-Piloty-Str. 1(5901)/III
85748 Garching b. München

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Google Scholar & ORCID ID

Google Scholar Profile

ORCID ID

Supervising & Tutoring

Supervising & Tutoring

MA: Master Thesis, BA: Bachelor Thesis, DA: Diploma Thesis,

FP: Forschungspraxis, IP: Ingenieurpraxis

Teaching

Winter term 2024/25

Course no.TitleDatesDurationTypeLecturer (assistant)
0000002612Python for Engineering Data Analysis - From Machine Learning to VisualizationLink5PR
0000004031Seminar Quantum Engineering and Machine LearningLink2HS

Publications

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2023

  • Siddiqui, Gohar Ali; Stebani, Julia A.; Wragg, Darren; Koutsourelakis, Phaedon‐Stelios; Casini, Angela; Gagliardi, Alessio: Application of Machine Learning Algorithms to Metadynamics for the Elucidation of the Binding Modes and Free Energy Landscape of Drug/Target Interactions: a Case Study. Chemistry – A European Journal 29 (62), 2023 mehr… BibTeX Volltext ( DOI )

2022

  • G.A. Siddiqui, A. Gagliardi: Enhancing the sampling of configuration space using machine learning. 1st Plenary meeting of ARTEMIS, 20227-9 November 2022 mehr… BibTeX
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