Morteza Haghir Chehreghani

Associate Professor at Computer Science and Engineering (Chalmers)

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Showing 7 publications

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 5 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
Chalmers

2020–2021

Real-Time Robust and AdaptIve Learning in ElecTric VEhicles (RITE)

Morteza Haghir Chehreghani Data Science
Balázs Adam Kulcsár Automatic Control
Liang Dai Data Science
Sebastien Gros Automatic Control
Chalmers AI Research Centre (CHAIR)
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

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