Mehmet Mercangöz

Mehmet Mercangöz

Imperial College London

H-index: 25

Europe-United Kingdom

About Mehmet Mercangöz

Mehmet Mercangöz, With an exceptional h-index of 25 and a recent h-index of 20 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Control Systems, Renewable Energy, Energy Storage, Machine Learning, Process Systems Engineering.

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

A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data

PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information

Transformer Based Day-ahead Cooling Load Forecasting of Hub Airport Air-Conditioning Systems with Thermal Energy Storage

Supervisory machine intelligence controls for production of meat substitutes

Linearizing nonlinear dynamics using deep learning

Lifelong learning meets dynamic processes: an emerging streaming process prediction framework with delayed process output measurement

Online feedback optimization of compressor stations with model adaptation using Gaussian process regression

ARRTOC: Adversarially Robust Real-Time Optimization and Control

Mehmet Mercangöz Information

University

Position

___

Citations(all)

2104

Citations(since 2020)

1235

Cited By

1316

hIndex(all)

25

hIndex(since 2020)

20

i10Index(all)

35

i10Index(since 2020)

27

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Mehmet Mercangöz Skills & Research Interests

Control Systems

Renewable Energy

Energy Storage

Machine Learning

Process Systems Engineering

Top articles of Mehmet Mercangöz

Title

Journal

Author(s)

Publication Date

A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data

Computers in Industry

Zhonglin Zuo

Hao Zhang

Zheng Li

Li Ma

Shan Liang

...

2024/8/1

PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information

arXiv preprint arXiv:2402.13588

Liqiu Dong

Marta Zagorowska

Tong Liu

Alex Durkin

Mehmet Mercangöz

2024/2/21

Transformer Based Day-ahead Cooling Load Forecasting of Hub Airport Air-Conditioning Systems with Thermal Energy Storage

Energy and Buildings

Die Yu

Tong Liu

Kai Wang

Kang Li

Mehmet Mercangöz

...

2024/2/21

Supervisory machine intelligence controls for production of meat substitutes

2023/11/14

Linearizing nonlinear dynamics using deep learning

Computers & Chemical Engineering

Akhil Ahmed

Ehecatl Antonio del Rio-Chanona

Mehmet Mercangöz

2023/2/1

Lifelong learning meets dynamic processes: an emerging streaming process prediction framework with delayed process output measurement

IEEE Transactions on Control Systems Technology

Tong Liu

Sheng Chen

Po Yang

Yunpeng Zhu

Mehmet Mercangöz

...

2023/10/2

Online feedback optimization of compressor stations with model adaptation using Gaussian process regression

Journal of Process Control

Marta Zagorowska

Maximilian Degner

Lukas Ortmann

Akhil Ahmed

Saverio Bolognani

...

2023/1/1

ARRTOC: Adversarially Robust Real-Time Optimization and Control

arXiv preprint arXiv:2309.04386

Akhil Ahmed

Ehecatl Antonio del Rio-Chanona

Mehmet Mercangoz

2023/9/8

Safe optimization of an industrial refrigeration process using an adaptive and explorative framework

IFAC-PapersOnLine

Buse Sibel Korkmaz

Marta Zagórowska

Mehmet Mercangöz

2023/1/1

Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning

Buse Sibel Korkmaz

Tong Liu

Mehmet Mercangöz

2023/7/18

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

arXiv preprint arXiv:2312.01996

Marta Zagorowska

Lukas Ortmann

Alisa Rupenyan

Mehmet Mercangoez

Lars Imsland

2023/12/4

Using prior knowledge to improve adaptive real time exploration and optimization

William J Tubbs

Mehmet Mercangöz

2023/7/18

Machine learning in process systems engineering: Challenges and opportunities

Prodromos Daoutidis

Jay H Lee

Srinivas Rangarajan

Leo Chiang

Bhushan Gopaluni

...

2023/11/22

Semi-supervised Variational Autoencoders for Regression: Application to Soft Sensors

Yilin Zhuang

Zhuobin Zhou

Burak Alakent

Mehmet Mercangöz

2023/7/18

Data driven modelling of centrifugal compressor maps for control and optimization applications

Buse Sibel Korkmaz

Mehmet Mercangöz

2022/7/12

Predictions For A Process In An Industrial Plant

2022/2/3

Learning Linear Representations of Nonlinear Dynamics Using Deep Learning

IFAC-PapersOnLine

Akhil Ahmed

Ehecatl Antonio del Rio-Chanona

Mehmet Mercangöz

2022/1/1

Unmanned and autonomous systems: Future of automation in process and energy industries

IFAC-PapersOnLine

Francesco Borghesan

Marta Zagorowska

Mehmet Mercangöz

2022/1/1

A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant

Computers in Industry

Yilin Zhuang

Yixuan Liu

Akhil Ahmed

Zhengang Zhong

Ehecatl A del Rio Chanona

...

2022/12/1

Safe and adaptive decision-making for optimization of safety-critical systems: The ARTEO algorithm

arXiv preprint arXiv:2211.05495

Buse Sibel Korkmaz

Marta Zagórowska

Mehmet Mercangöz

2022/11/10

See List of Professors in Mehmet Mercangöz University(Imperial College London)

Co-Authors

H-index: 137
Manfred Morari

Manfred Morari

University of Pennsylvania

H-index: 92
Francis Doyle

Francis Doyle

Harvard University

H-index: 75
Moritz Diehl

Moritz Diehl

Albert-Ludwigs-Universität Freiburg

H-index: 73
François Maréchal

François Maréchal

École Polytechnique Fédérale de Lausanne

H-index: 52
Colin Jones

Colin Jones

École Polytechnique Fédérale de Lausanne

H-index: 44
Sergio Bittanti

Sergio Bittanti

Politecnico di Milano

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