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Hadi Banaee

Befattning: Forskare Organisation: Institutionen för naturvetenskap och teknik

E-post: hadi.banaee@oru.se

Telefon: Telefonnummer saknas

Rum: T2233

Forskningsämne

Datavetenskap

Forskningsmiljöer

Centrum för tillämpade autonoma sensorsystem (AASS)

Om Hadi Banaee

I am a postdoc researcher at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, from where I also received my PhD in 2018, with a research topic on using semantic representations in data2text frameworks.

My research is about bridging the inferred numerical information (e.g., via machine learning models) to the human-understandable descriptions. My research interests include knowledge representation (i.e., conceptual spaces), machine learning, explainable AI, and natural language generation (NLG). In particular, my research activity is focused on studying a data-driven approach to creating semantic models for numeric data. This model is then utilised for generating natural language text.

Since 2018, I have been working on a couple of research areas wherein the aim is to analyse the streams of data and infer meaningful information. Currently, I am involved in a project called Campus.AI wherein for a network of sensors, I am working on the analysis of multi-channel data recordings to first detect the patterns, trends and changes in the data, and then present this information in natural language.

Avslutade projekt

Forskargrupper

Maskin Perception och Interaktion

Publikationer

Artiklar i tidskrifter | 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.
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.
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.

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).