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Hadi Banaee

Position: Researcher School/office: School of Science and Technology

Email: aGFkaS5iYW5hZWU7b3J1LnNl

Phone: No number available

Room: T2236

Research subject

Computer Science

Research environments

Centre for Applied Autonomous Sensor Systems (AASS)

About Hadi Banaee

Hadi Banaee is a researcher at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, where he also received his PhD in 2018. His research focuses on connecting numerical and sensor-based data with human-understandable semantic and conceptual models.

His research interests include knowledge representation, machine learning, explainable and interpretable AI, intention-aware systems, and natural language generation. A core theme of his work is the development of data-driven semantic models for reasoning about complex, real-world data streams.

His main research activity is centered on the TeamRob project on intention recognition and human–robot interaction, and on applied AI for energy and ventilation systems within the AIr and AIr+ projects, where large-scale sensor data are used for prediction, optimization, and decision support.

Active projects

Large Language Models in Conflict: Knowledge, Legitimacy, and AI in Contested Territories

Completed projects

Research groups

Machine Perception and Interaction Lab

Publications

Articles in journals | Articles, reviews/surveys | Conference papers | Doctoral theses, comprehensive summaries |

Articles in journals

Kalidindi, S. S. V. , Banaee, H. , Karlsson, H. & Loutfi, A. (2025). District heating optimization in residential buildings using reinforcement learning with adaptive context-aware predictive environment. Energy and AI, 22. [BibTeX]
Kalidindi, S. S. V. , Banaee, H. , Karlsson, H. & Loutfi, A. (2023). Indoor temperature prediction with context-aware models in residential buildings. Building and Environment, 244. [BibTeX]
Banaee, H. , Schaffernicht, E. & Loutfi, A. (2018). Data-Driven Conceptual Spaces: Creating Semantic Representations for Linguistic Descriptions of Numerical Data. The journal of artificial intelligence research, 63, 691-742. [BibTeX]
Banaee, H. & Loutfi, A. (2015). Data-driven rule mining and representation of temporal patterns in physiological sensor data. IEEE journal of biomedical and health informatics, 19 (5), 1557-1566. [BibTeX]
Ahmed, M. U. , Banaee, H. & Loutfi, A. (2013). Health monitoring for elderly: an application using case-based reasoning and cluster analysis. ISRN Artificial Intelligence, 2013 (2013), 1-11. [BibTeX]

Articles, reviews/surveys

Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges. Sensors, 13 (12), 17472-17500. [BibTeX]

Conference papers

Giaretta, A. & Banaee, H. (2026). Edge Virtual Fence for Smart Airport Physical Security: A Case Study. In: Bart Coppens; Bruno Volckaert; Vincent Naessens; Bjorn De Sutter, Availability, Reliability and Security ARES 2025 International Workshops, Ghent, Belgium, August 11–14, 2025, Proceedings, Part I. Paper presented at 20th International Conference on Availability Reliability and Security (ARES 2025), Gent, Belgium, August 11-14, 2025. (pp. 41-54). Springer. [BibTeX]
Mironenko, O. , Banaee, H. & Loutfi, A. (2025). Evaluation of Coordination Strategies for Underground Automated Vehicle Fleets in Mixed Traffic. In: 2025 IEEE Intelligent Vehicles Symposium (IV) Proceedings. Paper presented at 36th IEEE Intelligent Vehicles Symposium (IEEE IV2025), Cluj-Napoca, Romania, June 22-25, 2025. (pp. 1020-1026). IEEE. [BibTeX]
Kalidindi, S. S. V. , Banaee, H. , Karlsson, H. & Loutfi, A. (2024). Adaptive Context Embedding for Temperature Prediction in Residential Buildings. In: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto Bugarín-Diz; José M. Alonso-Moral; Senén Barro; Fredrik Heintz, 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Paper presented at 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19-24, 2024. (pp. 4727-4733). IOS Press. [BibTeX]
Mironenko, O. , Banaee, H. & Loutfi, A. (2024). Evaluation of Human Interaction with Fleets of Automated Vehicles in Dynamic Underground Mining Environments. In: Angelo Ferrando; Rafael C. Cardoso, Agents and Robots for reliable Engineered Autonomy 4th Workshop, AREA 2024, Santiago de Compostela, Spain, October 19, 2024, Proceedings. Paper presented at Agents and Robots for reliable Engineered Autonomy (AREA 2024), in conjunction with ECAI 2024, Santiago de Compostela, Spain, October 19, 2024. (pp. 54-72). Springer. [BibTeX]
Banaee, H. , Klügl, F. , Novakazi, F. & Lowry, S. (2024). Intention Recognition and Communication for Human-Robot Collaboration. In: Ericson P., Khairova N., De Vos M., CEUR Workshop Proceedings. Paper presented at 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2024, Malmo 10-11 June 2024. (pp. 101-108). CEUR-WS. [BibTeX]
Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2024). Towards Addressing Label Ambiguity in Sequential Emotional Responses Through Distribution Learning. In: 12th International Conference on Affective Computing and Intelligent Interactions, Glasgow, United Kingdom, September 15-18, 2024. Paper presented at 12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024), Glasgow, UK, September 15-18, 2024. IEEE. [BibTeX]
Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2023). Stress Lingers: Recognizing the Impact of Task Order on Design of Stress and Emotion Detection Systems. In: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology. Paper presented at 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, (IEEECON 2023), Portomaso, St. Julians, Malta, December 7-9, 2023. (pp. 175-176). IEEE. [BibTeX]
Kalidindi, S. S. V. , Banaee, H. , Klügl, F. & Loutfi, A. (2022). A Context-aware Predictive model to Optimize Energy Consumption in Residential Buildings. Paper presented at Swedish AI Society (SAIS 2022), Stockholm, Sweden, June 13-14, 2022. [BibTeX]
Kalidindi, S. S. V. , Banaee, H. & Loutfi, A. (2022). Transformers and Contextual Information in Temperature Prediction of Residential Buildings for Improved Energy Consumption. Paper presented at 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), February 28, 2022. [BibTeX]
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. [BibTeX]
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. [BibTeX]
Vajdi, A. , Haspel, N. & Banaee, H. (2015). A New DP Algorithm for Comparing Gene Expression Data Using Geometric Similarity. In: Proceedings 2015 IEEE International Conference on Bioinformatics and Biomedicine. Paper presented at IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington, DC, USA, November 9-12, 2015. (pp. 1157-1161). New York: IEEE conference proceedings. [BibTeX]
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2015). Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data. In: Proceedings of the 8th International conference of Health Informatics (HEALTHINF 2015). Paper presented at HEALTHINF 2015 : HEALTHINF 8th International Conference on Health Informatics, 12-15 january, Lisabon, Portugal. SciTePress. [BibTeX]
Ahmed, M. U. , Banaee, H. , Rafael-Palou, X. & Loutfi, A. (2015). Intelligent Healthcare Services to Support Health Monitoring of Elderly. In: INTERNET OF THINGS USER-CENTRIC IOT, PT I. Paper presented at 1st International Conference on IoT Technologies for HealthCare, HealthyIoT, October 27-29, Rome, Italy, 2014. (pp. 178-186). Springer. [BibTeX]
Banaee, H. & Loutfi, A. (2014). Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems. In: Proceedings of the 8th International Natural Language Generation Conference. Paper presented at 8th International Natural Language Generation(INLG)Conference, 19-21 June, Philadelphia, Pennsylvania, USA. (pp. 11-15). Association for Computational Linguistics. [BibTeX]
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). A framework for automatic text generation of trends in physiological time series data. In: IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester. Paper presented at IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester. (pp. 3876-3881). IEEE conference proceedings. [BibTeX]
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). Towards NLG for Physiological Data Monitoring with Body Area Networks. In: 14th European Workshop on Natural Language Generation. Paper presented at 14th European Workshop on Natural Language Generation, Sofia, Bulgaria, August 8-9, 2013. (pp. 193-197). [BibTeX]

Doctoral theses, comprehensive summaries

Banaee, H. (2018). From Numerical Sensor Data to Semantic Representations: A Data-driven Approach for Generating Linguistic Descriptions. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University. [BibTeX]