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Marjan Alirezaie

Title: Associate Senior Lecturer School/office: School of Science and Technology

Email: marjan.alirezaie@oru.se

Phone: +46 19 303785

Room: T2227

Research subject

Computer Science

Research environments

Centre for Applied Autonomous Sensor Systems (AASS)

About Marjan Alirezaie

I am a WASP assistant professor (biträdande universitetslektor) at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, from where I also received my Ph.D. in 2015, with a research topic in semantic perception.

My research interests include knowledge representation and reasoning, machine learning, and the integration of both. In particular, I am interested in the development of neuro-symbolic (NeSy) models and the extension of their applications in robotics and sensory systems.

I teach the Data structures and algorithms course in the Högskoleingenjör Computer Engineering Program, the Artificial Intelligence for the Web course in the Civilingenjörprogram, and the Answer Set Programming course in the SMART(er) program for working professionals.
I have also been involved in other courses: together with Franzisca Klügl, the SMART(er) course Introduction to Artificial Intelligence, and both the basic and advanced courses in Human-Computer Interaction (HCI).

Active projects

Completed projects

Research teams

Machine Perception and Interaction Lab

Publications

Articles in journals

Fouladgar, N. , Alirezaie, M. & Främling, K. (2022). CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection. Neural Computing & Applications, 34 (3), 2157-2176.
Fouladgar, N. , Alirezaie, M. & Främling, K. (2022). Metrics and Evaluations of Time Series Explanations: An Application in Affect Computing. IEEE Access, 10, 23995-24009.
Chimamiwa, G. , Alirezaie, M. , Pecora, F. & Loutfi, A. (2021). Multi-sensor dataset of human activities in a smart home environment. Data in Brief, 34.
Köckemann, U. , Alirezaie, M. , Renoux, J. , Tsiftes, N. , Ahmed, M. U. , Morberg, D. , Lindén, M. & Loutfi, A. (2020). Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. Sensors, 20 (3).
Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2019). Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. Semantic Web, 10 (5), 863-880.
Alirezaie, M. , Hammar, K. & Blomqvist, E. (2018). SmartEnv as a network of ontology patterns. Semantic Web, 9 (6), 903-918.
Alirezaie, M. , Renoux, J. , Köckemann, U. , Kristoffersson, A. , Karlsson, L. , Blomqvist, E. , Tsiftes, N. , Voigt, T. & et al. (2017). An Ontology-based Context-aware System for Smart Homes: E-care@home. Sensors, 17 (7).
Alirezaie, M. , Kiselev, A. , Längkvist, M. , Klügl, F. & Loutfi, A. (2017). An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors, 17 (11).
Längkvist, M. , Kiselev, A. , Alirezaie, M. & Loutfi, A. (2016). Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks. Remote Sensing, 8 (4).
Alirezaie, M. & Loutfi, A. (2015). Reasoning for sensor data interpretation: an application to air quality monitoring. Journal of Ambient Intelligence and Smart Environments, 7 (4), 579-597.
Alirezaie, M. & Loutfi, A. (2014). Automated reasoning using abduction for interpretation of medical signals. Journal of Biomedical Semantics, 5.
Alirezaie, M. & Loutfi, A. (2013). Towards Automatic Ontology Alignment for Enriching Sensor Data Analysis. Communications in Computer and Information Science, 415, 179-193.

Articles, reviews/surveys

Chimamiwa, G. , Giaretta, A. , Alirezaie, M. , Pecora, F. & Loutfi, A. (2022). Are Smart Homes Adequate for Older Adults with Dementia?. Sensors, 22 (11).

Chapters in books

Alirezaie, M. , Längkvist, M. & Loutfi, A. (2020). Knowledge Representation and Reasoning Methods to Explain Errors in Machine Learning. In: Ilaria Tiddi, Freddy Lécué, Pascal Hitzler, Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges. . IOS Press.
Santini, M. , Jönsson, A. , Strandqvist, W. , Cederblad, G. , Nyström, M. , Alirezaie, M. , Lind, L. , Blomqvist, E. & et al. (2019). Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home. In: Maya Dimitrova (Bulgarian Academy of Sciences, Bulgaria) and Hiroaki Wagatsuma (Kyushu Institute of Technology, Japan), Cyber-Physical Systems for Social Applications (pp. 98-155). Hershey, PA, USA: IGI Global.

Conference papers

Sam Abraham, S. & Alirezaie, M. (2022). Compositional Generalization and Neuro-Symbolic Architectures. In: AAAI - Combining Learning and Reasoning Programming Languages, Formalisms, and Representations, CLeaR 2022. Paper presented at 36th AAAI conference on artificial intelligence (AAAI-2022), Vancouver, BC, Canada, February 22 - March 1, 2022.
Fouladgar, N. , Alirezaie, M. & Främling, K. (2021). Exploring Contextual Importance and Utility in Explaining Affect Detection. In: Matteo Baldoni; Stefania Bandini, AIxIA 2020 – Advances in Artificial Intelligence. Paper presented at 19th International Conference of the Italian-Association-for-Artificial-Intelligence (AIxIA 2020), (Virtual conference), November 25-27, 2020. (pp. 3-18). Springer.
Fouladgar, N. , Alirezaie, M. & Främling, K. (2020). Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection. In: Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro, Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2020). Paper presented at XAI.it 2020, Italian Workshop on Explainable Artificiale Intelligence, co-located with AI*IA, November 25-27, 2020. (pp. 1-13). Technical University of Aachen.
Banaee, H. , Chimamiwa, G. , Alirezaie, M. & Loutfi, A. (2020). Explaining Habits and Changes of Activities in Smart Homes. Paper presented at Artificial Intelligence for Health, Personalised Medicine and Wellbeing (HELPLINE), in conjunction with ECAI 2020, Santiago de Compostela, Spain (Digital Conference), August 29 - September 8, 2020.
Blomqvist, E. , Alirezaie, M. & Santini, M. (2020). Towards Causal Knowledge Graphs - Position Paper. In: Kerstin Bach, Razvan Bunescu, Cindy Marling, Nirmalie Wiratunga, Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence (ECAI 2020). Paper presented at 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH 2020) / 24th European Conference on Artificial Intelligence (ECAI 2020) (Virtual), Santiago de Compostela, Spain, August 29-30, 2020. (pp. 58-62). Technical University of Aachen.
Lagriffoul, F. & Alirezaie, M. (2019). Perceiving and acting out of the box. In: Angelo Cangelosi, Antonio Lieto, Proceedings of the 7th International Workshop on Artificial Intelligence and Cognition. Paper presented at 7th International Workshop on Artificial Intelligence and Cognition, Manchester, UK, September 10-11, 2019. CEUR-WS.
Chimamiwa, G. , Alirezaie, M. , Banaee, H. , Köckemann, U. & Loutfi, A. (2019). Towards Habit Recognition in Smart Homes for People with Dementia. In: Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati, Ambient Intelligence 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings. Paper presented at 15th European Conference on Ambient Intelligence (AmI 2019), Rome, Italy, November 13-15, 2019. (pp. 363-369). Springer Nature.
Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. Paper presented at 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 13-19, 2018.
Santini, M. , Strandqvist, W. , Nyström, M. , Alirezaie, M. & Jönsson, A. (2018). Can We Quantify Domainhood?: Exploring Measures to Assess Domain-Specificity in Web Corpora. In: Elloumi, M.; Granitzer, M.; Hameurlain, A.; Seifert, C.; Stein, B.; Tjoa, AM.; Wagner, R., Database and Expert Systems Applications EXA 2018 International Workshops. Paper presented at 29th International Conference on Database and Expert Systems Applications (DEXA), Regensburg, Germany, September 3-6, 2018. (pp. 207-217). Springer Berlin/Heidelberg.
Köckemann, U. , Alirezaie, M. , Karlsson, L. & Loutfi, A. (2018). Integrating Ontologies for Context-based Constraint-based Planning. In: MRC 2018 Modelling and Reasoning in Context. Paper presented at Tenth InternationalWorkshop Modelling and Reasoning in Context (MRC), Stockholm, Sweden, July 13, 2018. (pp. 22-29).
Renoux, J. , Alirezaie, M. , Karlsson, L. , Köckemann, U. , Pecora, F. & Loutfi, A. (2017). Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. In: Knowledge-based techniques for problem solving and reasoning(KnowProS 2017) A workshop at AAAI 2017, February 5, 2017, San Francisco, U.S.A.. Paper presented at Workshop on Knowledge-Based Techniques for Problem Solving and Reasoning (KnowProS’17). (pp. 758-764). Palo Alto: AAAI Press.
Alirezaie, M. , Kiselev, A. , Klügl, F. , Längkvist, M. & Loutfi, A. (2017). Exploiting Context and Semantics for UAV Path-finding in an Urban Setting. In: Emanuele Bastianelli, Mathieu d'Aquin, Daniele Nardi, Proceedings of the 1st International Workshop on Application of Semantic Web technologies in Robotics (AnSWeR 2017), Portoroz, Slovenia, May 29th, 2017. Paper presented at International Workshop on Application of Semantic Web technologies in Robotics co-located with 14th Extended Semantic Web Conference (ESWC), Portoroz, Slovenia, 28th May-1st June, 2017. (pp. 11-20). Technical University Aachen.
Längkvist, M. , Alirezaie, M. , Kiselev, A. & Loutfi, A. (2016). Interactive Learning with Convolutional Neural Networks for Image Labeling. In: International Joint Conference on Artificial Intelligence (IJCAI). Paper presented at International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, 9-15th July, 2016.
Alirezaie, M. , Klügl, F. & Loutfi, A. (2016). Knowing without telling: integrating sensing and mapping for creating an artificial companion. In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Paper presented at 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), Burlingame, California, USA, October 31 - November 3, 2016. (pp. 11:1-11:4). New York, NY, USA: Association for Computing Machinery (ACM).
Alirezaie, M. , Längkvist, M. , Kiselev, A. & Loutfi, A. (2016). Open GeoSpatial Data as a Source of Ground Truth for Automated Labelling of Satellite Images. In: Krzysztof Janowicz et al., SDW 2016 Spatial Data on the Web, Proceedings. Paper presented at The 9th International Conference on Geographic Information Science (GIScience 2016), Montreal, Canada, September 27-30, 2016. (pp. 5-8). CEUR Workshop Proceedings.
Alirezaie, M. , Pecora, F. & Loutfi, A. (2015). Context Recognition: Towards Automatic Query Generation. In: Ambient Intelligence 12th European Conference, AmI 2015, Athens, Greece, November 11-13, 2015, Proceedings. Paper presented at Ambient Intelligence - 12th European Conference (AmI 2015), Athens, Greece, November 11-13, 2015. (pp. 205-218). Springer.
Alirezaie, M. & Loutfi, A. (2014). Reasoning for Improved Sensor Data Interpretation in a Smart Home. Paper presented at ARCOE-Logic 2014, International Workshop on Acquisition, Representation and Reasoning about Context with Logic. November 24-25, 2014. Linköping, Sweden.
Alirezaie, M. & Loutfi, A. (2013). Automatic annotation of sensor data streams using abductive reasoning. In: Proceedings of the International Conference on Knowledge Engineering and Ontology Development. Paper presented at International Conference on Knowledge Engineering and Ontology Development, Algarve, Portugal, 2013. (pp. 345-354). SciTePress.
Persson, A. , Coradeschi, S. , Rajasekaran, B. , Krishna, V. , Loutfi, A. & Alirezaie, M. (2013). I would like some food: anchoring objects to semantic web informationin human-robot dialogue interactions. In: Guido Herrmann, Martin J. Pearson, Alexander Lenz, Paul Bremner, Adam Spiers, Ute Leonards, Social Robotics Proceedings of 5th International Conference, ICSR 2013, Bristol, UK, October 27-29, 2013.. Paper presented at International Conference on Social Robotics, ICSR, Bristol, UK, October 27-29, 2013. (pp. 361-370). Springer.
Alirezaie, M. & Loutfi, A. (2012). Ontology alignment for classification of low level sensor data. Paper presented at Knowledge Engineering and Ontology Development.

Doctoral theses, monographs

Alirezaie, M. (2015). Bridging the Semantic Gap between Sensor Data and Ontological Knowledge. (Doctoral dissertation). Örebro: Örebro university.