Morteza Haghir Chehreghani

Associate Professor at Data Science and AI

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Showing 16 publications

2022

Deep Q-learning: a robust control approach

Balázs Varga, Balázs Adam Kulcsár, Morteza Haghir Chehreghani
Preprint
2022

Passive and Active Learning of Driver Behavior from Electric Vehicles

Federica Comuni, Christopher Mészáros, Niklas Åkerblom et al
Preprint
2021

Online Learning of Network Bottlenecks via Minimax Paths

Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Preprint
2021

Reliable Agglomerative Clustering

Morteza Haghir Chehreghani
Proceedings of the International Joint Conference on Neural Networks. Vol. 2021-July
Paper in proceeding
2021

Shallow Node Representation Learning using Centrality Indices

Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard et al
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, p. 5209-5214
Paper in proceeding
2021

Online Learning of Energy Consumption for Navigation of Electric Vehicles

Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Preprint
2021

Vehicle Motion Trajectories Clustering via Embedding Transitive Relations

Fazeleh Sadat Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. Vol. 2021-September, p. 1314-1321
Paper in proceeding
2021

Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks

John Daniel Bossér, Erik Sorstadius, Morteza Haghir Chehreghani
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, p. 5053-5062
Paper in proceeding
2020

An online learning framework for energy-efficient navigation of electric vehicles

Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
IJCAI International Joint Conference on Artificial Intelligence. Vol. 2021-january, p. 2051-2057
Paper in proceeding
2020

Unsupervised representation learning with Minimax distance measures

Morteza Haghir Chehreghani
Machine Learning. Vol. 109 (11), p. 2063-2097
Journal article
2020

Learning representations from dendrograms

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Machine Learning. Vol. 109 (9-10), p. 1779-1802
Journal article
2020

Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi
Theoretical Computer Science. Vol. 812, p. 203-213
Journal article
2020

Generation of Driving Scenario Trajectories with Generative Adversarial Networks

Andreas Demetriou, Henrik Allsvåg, Sadegh Rahrovani et al
2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
Paper in proceeding
2019

A Non-Convex Optimization Approach to Correlation Clustering

Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, p. 5159-5166
Paper in proceeding
2018

Efficient context-aware K-nearest neighbor search

Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10772, p. 466-478
Paper in proceeding

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Showing 4 research projects

2020–2025

Energy-based models for supervised deep neural networks and their applications

Christopher Zach Imaging and Image Analysis
Morteza Haghir Chehreghani Data Science
Chalmers AI Research Centre (CHAIR)
Chalmers AI Research Centre

2020–2021

Adaptive Neural Controller for Future Renewable Fuels

Jonas Sjöblom Engines and Propulsion Systems
Morteza Haghir Chehreghani Data Science
Ahfaz Ahmed Combustion and Propulsion Systems
Neste Oy
Mechanics and Maritime Sciences (M2)
Chalmers

2019–2022

Modelling and optimization of energy management systems for plug-in hybrid vehicles

Jonas Sjöblom Engines and Propulsion Systems
Nikolce Murgovski Mechatronics
Victor Ebberstein Engines and Propulsion Systems
Morteza Haghir Chehreghani Data Science
Swedish Energy Agency

2019–2019

AI-assisted real-time digital twin for electric drivetrains

Yujing Liu Electrical Machines and Power Electronics
Xiaoliang Huang Electrical Machines and Power Electronics
Morteza Haghir Chehreghani Data Science
Chalmers

There might be more projects where Morteza Haghir Chehreghani participates, but you have to be logged in as a Chalmers employee to see them.