Philipp Geyer

Philipp Geyer

Technische Universität Berlin

H-index: 19

Europe-Germany

About Philipp Geyer

Philipp Geyer, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität Berlin,

His recent articles reflect a diverse array of research interests and contributions to the field:

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

Utilizing domain knowledge: robust machine learning for building energy performance prediction with small, inconsistent datasets

Using causal inference to avoid fallouts in data-driven parametric analysis: A case study in the architecture, engineering, and construction industry

Machine Learning in Proton Exchange Membrane Water Electrolysis--Part I: A Knowledge-Integrated Framework

A holistic two-stage decision-making methodology for passive and active building design strategies under uncertainty

Feasibility analysis of pod and deep autoencoder for reduced order modelling Indoor environment cfd prediction

Pathway toward prior knowledge-integrated machine learning in engineering

Nachhaltige Gebäudetechnologie in Forschung und Entwicklung

Philipp Geyer Information

University

Position

___

Citations(all)

1537

Citations(since 2020)

1086

Cited By

807

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

29

i10Index(since 2020)

23

Email

University Profile Page

Technische Universität Berlin

Google Scholar

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Top articles of Philipp Geyer

Title

Journal

Author(s)

Publication Date

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

Biomedical Signal Processing and Control

Xia Chen

Xiangbin Teng

Han Chen

Yafeng Pan

Philipp Geyer

2024/1/1

Utilizing domain knowledge: robust machine learning for building energy performance prediction with small, inconsistent datasets

arXiv preprint arXiv:2302.10784

Xia Chen

Manav Mahan Singh

Philipp Geyer

2023/1/23

Using causal inference to avoid fallouts in data-driven parametric analysis: A case study in the architecture, engineering, and construction industry

Developments in the Built Environment

Xia Chen

Ruiji Sun

Ueli Saluz

Stefano Schiavon

Philipp Geyer

2024/3/1

Machine Learning in Proton Exchange Membrane Water Electrolysis--Part I: A Knowledge-Integrated Framework

arXiv preprint arXiv:2404.03660

Xia Chen

Alexander Rex

Janis Woelke

Christoph Eckert

Boris Bensmann

...

2024/1/24

A holistic two-stage decision-making methodology for passive and active building design strategies under uncertainty

Building and Environment

Chujun Zong

Xia Chen

Fatma Deghim

Johannes Staudt

Philipp Geyer

...

2024/1/13

Feasibility analysis of pod and deep autoencoder for reduced order modelling Indoor environment cfd prediction

Shaofan Wang

Xia Chen

Philipp Geyer

2023/9/4

Pathway toward prior knowledge-integrated machine learning in engineering

arXiv preprint arXiv:2307.06950

Xia Chen

Philipp Geyer

2023/7/10

Nachhaltige Gebäudetechnologie in Forschung und Entwicklung

2023 Bauphysik Kalender: Nachhaltigkeit

Marco Wolf

Martin Buchholz

Arno Schlüter

Philipp Geyer

2023/3/29

A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation

arXiv preprint arXiv:2302.10179

Xia Chen

Xiaoye Cai

Alexander Kümpel

Dirk Müller

Philipp Geyer

2023/1/23

Introducing causal inference in the energy-efficient building design process

Energy and Buildings

Xia Chen

Jimmy Abualdenien

Manav Mahan Singh

André Borrmann

Philipp Geyer

2022/12/15

Early-stage design support combining machine learning and building information modelling

Automation In Construction

Manav Mahan Singh

Chirag Deb

Philipp Geyer

2022/4/1

EEGNEX: AN IMPROVED SPATIO-TEMPORAL CONVNET FOR ELECTROENCEPHALOGRAPHY SIGNALS DECODING

Xia Chen

Xiangbin Teng

Han Chenc

Yafeng Pan

Philipp Geyer

2022/10/17

Early Stage Design Support using Machine Learning and Building Information Modelling

Manav Mahan Singh

2022/3/29

Robotic Wood Winding for Architectural Structures-Computational Design, Robotic Fabrication and Structural Modeling Methods

Georgia Margariti

Andreas Göbert

Julian Ochs

Philipp Eversmann

Felita Felita

...

2022/9/18

Machine assistance in energy-efficient building design: A predictive framework toward dynamic interaction with human decision-making under uncertainty

Applied Energy

Xia Chen

Philipp Geyer

2022/2/1

A hybrid-model approach for reducing the performance gap in building energy forecasting

arXiv preprint arXiv:2206.00460

Xia Chen

Tong Guo

Martin Kriegel

Philipp Geyer

2022/5/30

A hybrid-model forecasting framework for reducing the building energy performance gap

Advanced Engineering Informatics

Xia Chen

Tong Guo

Martin Kriegel

Philipp Geyer

2022/4/1

Fusing data, engineering knowledge and artificial intelligence for the built environment

Advanced Engineering Informatics

Philipp Geyer

Christian Koch

Pieter Pauwels

2021/4/1

CNN-based quick energy prediction model using image analysis for shape information

Manav Mahan Singh

Philipp Geyer

2021/9/1

Component-based machine learning for predicting representative time-series of energy performance in building design

Proceedings of the 28th International Workshop on Intelligent Computing in Engineering, Berlin, Germany

Xia Chen

Manav Mahan Singh

Philipp Geyer

2021

See List of Professors in Philipp Geyer University(Technische Universität Berlin)