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Hadi Banaee

Befattning: Forskare Organisation: Institutionen för naturvetenskap och teknik

E-post: aGFkaS5iYW5hZWU7b3J1LnNl

Telefon: Telefonnummer saknas

Rum: T2233

Forskningsämne

Datavetenskap

Forskningsmiljöer

Centrum för tillämpade autonoma sensorsystem (AASS)

Om Hadi Banaee

Hadi, a postdoc researcher at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, obtained his PhD in 2018, focusing on semantic representations within data2text frameworks.

His research centres on bridging inferred numerical information, often derived from machine learning models, with human-understandable descriptions. Hadi's interests encompass knowledge representation, including conceptual spaces, machine learning, explainable AI, and natural language generation (NLG). Specifically, he concentrates on developing data-driven semantic models for numeric data, which are then used to generate natural language text.

Since 2018, Hadi has explored various research areas aimed at analyzing data streams to extract meaningful insights. Currently, he is actively involved in Campus.AI, and AIr projects, focused on analyzing multi-channel data recordings from sensor networks. His work involves detecting patterns, trends, and changes within the data and subsequently translating this information into natural language descriptions.

Avslutade projekt

Forskargrupper

Maskin Perception och Interaktion

Publikationer

Artiklar i tidskrifter | Artiklar, forskningsöversikter | Doktorsavhandlingar, sammanläggningar | Konferensbidrag |

Artiklar i tidskrifter

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.
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.
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.
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.

Artiklar, forskningsöversikter

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.

Doktorsavhandlingar, sammanläggningar

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

Konferensbidrag

Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2023). Stress Lingers: Recognizing the Impact of Task Order on Design of Stress and Emotion Detection Systems. Konferensbidrag vid IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, Portomaso, St. Julians, Malta, December 7-9, 2023.
Kalidindi, S. S. V. , Banaee, H. & Loutfi, A. (2022). Transformers and Contextual Information in Temperature Prediction of Residential Buildings for Improved Energy Consumption. Konferensbidrag vid 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), February 28, 2022.
Banaee, H. , Chimamiwa, G. , Alirezaie, M. & Loutfi, A. (2020). Explaining Habits and Changes of Activities in Smart Homes. Konferensbidrag vid 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.
Chimamiwa, G. , Alirezaie, M. , Banaee, H. , Köckemann, U. & Loutfi, A. (2019). Towards Habit Recognition in Smart Homes for People with Dementia. I: Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati, Ambient Intelligence 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings. Konferensbidrag vid 15th European Conference on Ambient Intelligence (AmI 2019), Rome, Italy, November 13-15, 2019. (ss. 363-369). Springer Nature.
Vajdi, A. , Haspel, N. & Banaee, H. (2015). A New DP Algorithm for Comparing Gene Expression Data Using Geometric Similarity. I: Proceedings 2015 IEEE International Conference on Bioinformatics and Biomedicine. Konferensbidrag vid IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington, DC, USA, November 9-12, 2015. (ss. 1157-1161). New York: IEEE conference proceedings.
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2015). Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data. I: Proceedings of the 8th International conference of Health Informatics (HEALTHINF 2015). Konferensbidrag vid HEALTHINF 2015 : HEALTHINF 8th International Conference on Health Informatics, 12-15 january, Lisabon, Portugal. SciTePress.
Ahmed, M. U. , Banaee, H. , Rafael-Palou, X. & Loutfi, A. (2015). Intelligent Healthcare Services to Support Health Monitoring of Elderly. I: INTERNET OF THINGS USER-CENTRIC IOT, PT I. Konferensbidrag vid 1st International Conference on IoT Technologies for HealthCare, HealthyIoT, October 27-29, Rome, Italy, 2014. (ss. 178-186). Springer.
Banaee, H. & Loutfi, A. (2014). Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems. I: Proceedings of the 8th International Natural Language Generation Conference. Konferensbidrag vid 8th International Natural Language Generation(INLG)Conference, 19-21 June, Philadelphia, Pennsylvania, USA. (ss. 11-15). Association for Computational Linguistics.
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). A framework for automatic text generation of trends in physiological time series data. I: IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester. Konferensbidrag vid IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester. (ss. 3876-3881). IEEE conference proceedings.
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). Towards NLG for Physiological Data Monitoring with Body Area Networks. I: 14th European Workshop on Natural Language Generation. Konferensbidrag vid 14th European Workshop on Natural Language Generation, Sofia, Bulgaria, August 8-9, 2013. (ss. 193-197).