Morteza Haghir Chehreghani

Associate Professor at Data Science and AI

Link to academic website: https://www.cse.chalmers.se/~haghir/

Source: chalmers.se
Image of Morteza Haghir Chehreghani

Showing 48 publications

2024

Tree Ensembles for Contextual Bandits

Hannes Nilsson, Rikard Johansson, Niklas Åkerblom et al
Preprint
2024

Utilizing reinforcement learning for de novo drug design

Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al
Machine Learning. Vol. 113 (7), p. 4811-4843
Journal article
2024

Online Learning Models for Vehicle Usage Prediction During COVID-19

Tobias Lindroth, Axel Svensson, Niklas Åkerblom et al
IEEE Transactions on Intelligent Transportation Systems, p. 1-10
Journal article
2023

Online Learning of Energy Consumption for Navigation of Electric Vehicles

Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Artificial Intelligence. Vol. 317
Journal article
2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework

Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani et al
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Vol. 202, p. 28549-28577
Paper in proceeding
2023

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
Preprint
2023

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

Ali Samadzadeh, Fatemeh Sadat Tabatabaei Far, Ali Javadi et al
Neural Processing Letters. Vol. 55 (6), p. 6979-6995
Journal article
2023

Do Kernel and Neural Embeddings Help in Training and Generalization?

Arman Rahbar, Emilio Jorge, Devdatt Dubhashi et al
Neural Processing Letters. Vol. 55 (2), p. 1681-1695
Journal article
2023

Deep Q-learning: a robust control approach

Balázs Varga, Balázs Adam Kulcsár, Morteza Haghir Chehreghani
International Journal of Robust and Nonlinear Control. Vol. 33 (1), p. 526-544
Journal article
2023

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories

Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani et al
SN Computer Science. Vol. 4 (3)
Journal article
2023

Online Learning of Network Bottlenecks via Minimax Paths

Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Machine Learning. Vol. 112 (1), p. 131-150
Journal article
2023

De novo generated combinatorial library design

Simon Johansson, Morteza Haghir Chehreghani, Ola Engkvist et al
Digital Discovery. Vol. 3 (1), p. 122-135
Journal article
2023

Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning

Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, p. 5321-5329
Paper in proceeding
2023

Efficient Online Decision Tree Learning with Active Feature Acquisition

Arman Rahbar, Ziyu Ye, Yuxin Chen et al
IJCAI International Joint Conference on Artificial Intelligence. Vol. 2023-August, p. 4163-4171
Paper in proceeding
2023

Non-uniform Sampling Methods for Large Itemset Mining

Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, p. 5714-5722
Paper in proceeding
2023

Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes

Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani et al
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, p. 5260-5265
Paper in proceeding
2023

Batch Mode Deep Active Learning for Regression on Graph Data

Hazem Samoaa, Linus Aronsson, Philipp Leitner et al
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, p. 5904-5913
Paper in proceeding
2023

Shift of pairwise similarities for data clustering

Morteza Haghir Chehreghani
Machine Learning. Vol. 112 (6), p. 2025-2051
Journal article
2023

A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles

Niklas Åkerblom, Morteza Haghir Chehreghani
Transactions on Machine Learning Research
Journal article
2022

Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms

Carl Johnell, Morteza Haghir Chehreghani
International Conference on Information and Knowledge Management, Proceedings, p. 915-924
Paper in proceeding
2022

Autonomous Drug Design with Multi-Armed Bandits

Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan et al
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, p. 5584-5592
Paper in proceeding
2022

Analysis of Knowledge Transfer in Kernel Regime

Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya et al
International Conference on Information and Knowledge Management, Proceedings, p. 1615-1624
Paper in proceeding
2022

Passive and Active Learning of Driver Behavior from Electric Vehicles

Federica Comuni, Christopher Mészáros, Niklas Åkerblom et al
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. Vol. 2022-October, p. 929-936
Paper in proceeding
2022

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification

Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
Preprint
2022

Graph Clustering Using Node Embeddings: An Empirical Study

Mahdi Ghanbari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, p. 5488-5493
Paper in proceeding
2022

A unified framework for online trip destination prediction

Victor Ebberstein, Jonas Sjöblom, Nikolce Murgovski et al
Machine Learning. Vol. 111 (10), p. 3839-3865
Journal article
2022

On Using Node Indices and Their Correlations for Fake Account Detection

Sara Asghari, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, p. 5656-5661
Paper in proceeding
2022

Active learning of driving scenario trajectories

Sanna Jarl, Linus Aronsson, Sadegh Rahrovani et al
Engineering Applications of Artificial Intelligence. Vol. 113
Journal article
2022

Controlling gene expression with deep generative design of regulatory DNA

Jan Zrimec, Xiaozhi Fu, Muhammad Azam Sheikh et al
Nature Communications. Vol. 13 (1), p. 5099-
Journal article
2022

Memory-Efficient Minimax Distance Measures

Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13280 LNAI, p. 419-431
Paper in proceeding
2022

TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks

Hazem Samoaa, Antonio Longa, Mazen Mohamad et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13709 LNCS, p. 464-479
Paper in proceeding
2022

Trip Prediction by Leveraging Trip Histories from Neighboring Users

Yuxin Chen, Morteza Haghir Chehreghani
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. Vol. 2022-October, p. 967-973
Paper in proceeding
2022

Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction

Simon Johansson, Hampus Gummesson Svensson, Esben Jannik Bjerrum et al
Molecular Informatics. Vol. 41 (12)
Journal article
2021

Reliable Agglomerative Clustering

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

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
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
2020

Unsupervised representation learning with Minimax distance measures

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

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

Learning representations from dendrograms

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
Machine Learning. Vol. 109 (9-10), p. 1779-1802
Journal article
2019

A Non-Convex Optimization Approach to Correlation Clustering

Erik Thiel, Morteza Haghir Chehreghani, Devdatt Dubhashi
33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, p. 5159-5166
Paper in proceeding
2019

Lifelong learning starting from zero

Claes Strannegård, Herman Carlström, Niklas Engsner et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11654 LNAI, p. 188-197
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 9 research projects

2024–2028

ADMOL: A Generic Framework for Active Decision Making within Online Learning

Morteza Haghir Chehreghani Data Science and AI 1
Swedish Research Council (VR)

2022–2026

LEAR: Robust LEArning methods for electric vehicle Route selection

Balázs Adam Kulcsár Automatic Control
Morteza Haghir Chehreghani Data Science and AI 1
Jiaming Wu Geology and Geotechnics
Swedish Electromobility Centre

1 publication exists
2022–2026

Energy-efficient autopilot (EcoPilot)

Nikolce Murgovski Mechatronics
Leo Laine Mechanics and Maritime Sciences (M2)
Morteza Haghir Chehreghani Data Science and AI 1
Giulio Bianchi Piccinini Mechanical Engineering, Mechatronics and Automation, Design along with Shipping and Marine Engineering
Wallenberg AI, Autonomous Systems and Software Program

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

1 publication exists
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

2020–2021

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

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

6 publications exist
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

2019–2023

EENE: Energy Effective Navigation for EVs

Morteza Haghir Chehreghani Data Science and AI
Niklas Åkerblom Data Science and AI
FFI - Strategic Vehicle Research and Innovation

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