Mina Farmanbar | Universitetet i Stavanger

Kontakt

Telefon: 51834507

Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

I am currently an Associate Professor in Data Technology at the Department of Electrical Engineering and Computer Science, University of Stavanger, Norway. Since January 2025, I have also been serving as an advisor at Laerdal Medical AS, where I supervise master’s projects. I hold a bachelor’s degree in software engineering, along with a Master of Science (M.Sc.) and a Ph.D. in Computer Science, earned in 2007, 2012, and 2016, respectively.

I am deputy leader of the Applied Intelligence and Emerging Technologies (AIxTech) research group and am recognized among Norway's top 100 women in the AI field. Additionally, I have been an integral part of the program committee for NORA – Norwegian Artificial Intelligence Research Consortium since 2021, showcasing my dedication to shaping the research landscape in Norway. I have served as the Springer Proceeding Co-Chair/ Editor for the 1st and 2nd FAIEMA: International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications.

Within my institution, I have been at the forefront of departmental teaching initiatives, securing funding to develop a new course for the undergraduate curriculum. This course, titled "AI for Engineers (DAT305)" is offered entirely online to the Faculty of Engineering. The course includes six main modules: Introduction to AI, Mathematics for Machine Learning, Artificial Neural Networks, Deep Learning, and Natural Language Processing.

Keywords: data science, natural language processing, machine learning applications, and AI-driven solutions for healthcare.

Awards:

2024: Best poster award at NORA Annual Conference
2023: Best paper award at FAIEMA
2023: Best paper award at NORA Annual Conference

Currently taught courses:

DAT305 - Artificial Intelligence for Engineers (Bachelor Level)
DAT200 - Algorithms and Data Structures (Bachelor Level)
DAT550 – Data Mining and Deep Learning (Master Level)

Teaching competencies:

NyTi program (50 hours, 2019)
Basic course in higher education pedagogies (150 hours, 2022)
PhD-supervisory qualification program (100 hours, 2023)

Projects:

I actively collaborate with clinical experts, AI researchers, and healthcare professionals.

(Stavanger University Hospital and UiS): Arrhythmical Risk Indicator (ARI) - Cardiovascular Magnetic Resonance Images to Identify Individuals at Risk of Sudden Cardiac Death funded by Validé AS in 2023 and awarded seed funding from HelseCampus Stavanger in 2024.

Supervision:

Since 2019, I have supervised over 35 Master's and Bachelor's theses and projects.

PhD Supervision:

Muhammad Sulaiman, Co., since 2022
Arezo Shakeri, Main., since 2023
Gabriel Emerson Iturra Bocaz, Co., since 2025

Følg meg på nett

Publikasjoner

Vitenskapelige publikasjoner

Nourin Mohammad Haider Ali Biswas; Tahoura Morovati; Arezo Shakeri; Mina Farmanbar (2025) Early Alzheimer’s Detection in Norwegian via NLP and Transformer Models. I: Structural Integrity. ISSN 2522-560X.

Arezo Shakeri; Mina Farmanbar (2025) Cross-Linguistic Semantic Analysis for Mild Cognitive Impairment Detection. I: Nordic Machine Intelligence (NMI). Online ISSN 2703-9196. Volum 5. DOI: 10.5617/nmi.12551

Arezo Shakeri; Mina Farmanbar; Krisztian Balog (2025) MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection. I: Suzan Verberne; Omar Alonso; Nicola Ferro; Maria Maistro; Andrew Trotman; Gabriella Pasi, SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM). ISBN 9798400715921. s.3627-3637. DOI: 10.1145/3726302.3730313

Shakiba Sadat Mirbagheri; Claudio Sartori; Mehrzad Abdi khalife; Mina Farmanbar (2025) Comparative Analysis of Bitcoin Price Forecasting Using PatchTST, Traditional Models, and Sentiment Integration. I: Nordic Machine Intelligence (NMI). Online ISSN 2703-9196. Volum 5. DOI: 10.5617/nmi.12551

Konstantinos Arvanitis; Pantelis Nikolakopoulos; Dimitrios Pavlou; Mina Farmanbar (2025) Machine learning-based fatigue lifetime prediction of structural steels. I: Alexandria Engineering Journal. ISSN 1110-0168. Volum 125. s.55-66. DOI: 10.1016/j.aej.2025.04.014

Muhammad Sulaiman; Mina Farmanbar; Ahmed Nabil Belbachir; Chunming Rong (2025) Leveraging YOLOv8 Fine-Tuning and SEEM Inference for Accurate Building Segmentation Using RGB and LiDAR Datasets. I: Mina Farmanbar; Nikolaos Kouvakas; Maria Tzamtzi; Ajit Kumar Verma; Klaus Schoeffmann, Horizons of AI: Ethical Considerations and Interdisciplinary Engagements. Springer Nature Singapore. ISBN 9789819679447.

Muhammad Sulaiman; Mina Farmanbar; Shingo Kagami; Nabil Belbachir; Chunming Rong (2025) Online deep learning’s role in conquering the challenges of streaming data: a survey. I: Knowledge and Information Systems. ISSN 0219-1377. Volum 67. s.3159-3203. DOI: 10.1007/s10115-025-02351-3

Arezo Shakeri; Mina Farmanbar (2025) Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy. I: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. Online ISSN 2352-8729. Volum 17. DOI: 10.1002/dad2.70082

Muhammad Sulaiman; Mina Farmanbar; Nabil Belbachir; Chunming Rong (2024) Precision in Building Extraction : Comparing Shallow and Deep Models Using LiDAR Data. I: Antorweep Chakravorty; Mina Farmanbar; Maria P. Tzamtzi; Ajit Kumar Verma, Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications : 1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023. Springer Publishing Company. ISBN 9789819998364. s.431-444. DOI: 10.1007/978-981-99-9836-4_32

Arezo Shakeri; Shaima Ahmad Freja; Yeganeh Hallaj; Mina Farmanbar (2024) Uncovering linguistic patterns : A machine learning exploration for early dementia detection in speech transcripts. I: Hasan Ogul; Jonas Aamodt Moræus, 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350349764. DOI: 10.1109/ICAPAI61893.2024.10541296

Muhammad Sulaiman; Mina Farmanbar; Nabil Belbachir; Rong Chunming (2024) Genetic Algorithm Empowering Unsupervised Learning for Optimizing Building Segmentation from Light Detection and Ranging Point Clouds. I: Remote Sensing. Online ISSN 2072-4292. Volum 16. DOI: 10.3390/rs16193603

Trygve Christian Eftestøl; Mina Farmanbar; Tomas Royal Choat; Otto Nessa Ljosdal; Mathias Dyvik; Casper Cappelen; Vidar Frøysa; Jørn Kværness; Gøran Jansson Berg; Stein Ørn (2024) Exploring Pixel Value Scaling in the Application of Convolutional Neural Network U-Net Models for Segmentation of the Myocardium in Magnetic Resonance Images. I: Computing in cardiology. ISSN 2325-8861. Volum 51. DOI: 10.22489/CinC.2024.093

Muhammad Sulaiman; Erik Finnesand; Mina Farmanbar; Nabil Belbachir; Chunming Rong (2024) Building Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data. I: IEEE Access. Online ISSN 2169-3536. Volum 12. s.60329-60346. DOI: 10.1109/ACCESS.2024.3391416

Khuram Pervez Amber; Rizwan Ahmad; Mina Farmanbar; Muhammad Anser Bashir; Sajid Mehmood; Muhammad Sajid Khan; Muhammad Umer Saeed (2021) Unlocking Household Electricity Consumption in Pakistan. I: Buildings. Online ISSN 2075-5309. Volum 11. DOI: 10.3390/buildings11110566

Aida Mehdipourpirbazari; Mina Farmanbar; Antorweep Chakravorty; Rong Chunming (2020) Improving Load Forecast Accuracy of Households Using Load Disaggregation Techniques. I: N. N., 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728176475. s.843-851. DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00140

Mina Farmanbar; Per Johan Kolstrup (2020) Publishing with Open Journal Systems (OJS): the engaged university and library support at the University of Stavanger. I: Septentrio Conference Series. Online ISSN 2387-3086. DOI: 10.7557/5.5604

Aida Mehdipourpirbazari; Mina Farmanbar; Antorweep Chakravorty; Rong Chunming (2020) Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis. I: Processes. Online ISSN 2227-9717. Volum 8. DOI: 10.3390/pr8040484

Mina Farmanbar; Rong Chunming (2020) Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance. I: Processes. Online ISSN 2227-9717. Volum 8. DOI: 10.3390/pr8020250

Mina Farmanbar; Kiyan Parham; Øystein Arild; Rong Chunming (2019) A widespread review of smart grids towards smart cities. I: Energies. Online ISSN 1996-1073. Volum 12:4484. s.1-18. DOI: 10.3390/en12234484

Mina Farmanbar; Anandhakumar Palanisamy; Anne Britt Høydal; Arvind Keprate; Gjermund Haug (2019) A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf. I: IOP Conference Series: Materials Science and Engineering. ISSN 1757-8981. Volum 700. DOI: 10.1088/1757-899X/700/1/012037

Mina Farmanbar; Onsen Toygar (2017) Spoof Detection on Face and Palmprint Biometrics. I: Signal, Image and Video Processing. ISSN 1863-1703. Volum 11. s.1253-1260. DOI: 10.1007/s11760-017-1082-y

Mina Farmanbar; Onsen Toygar (2016) Feature Selection for the Fusion of Face and Palmprint Biometrics. I: Signal, Image and Video Processing. ISSN 1863-1703. Volum 10. s.951-958. DOI: 10.1007/s11760-015-0845-6

Mina Farmanbar; Onsen Toygar (2015) A Hybrid Approach for Person Identification Using Palmprint and Face Biometrics. I: International Journal of Pattern Recognition and Artificial Intelligence. ISSN 0218-0014. Volum 29. DOI: 10.1142/S0218001415560091

Jamshid Tamouk; Nasser Lotfi; Mina Farmanbar (2013) Satellite image classification methods and Landsat 5TM Bands. I: International Journal of Computer Science and Information Security. ISSN 1947-5500. Volum 11. s.99-103. DOI: 10.48550/arXiv.1308.1801

Nasser Lotfi; Jamshid Tamouk; Mina Farmanbar (2013) 3-SAT Problem A New Memetic-PSO Algorithm. I: International Journal of Computer Science and Information Security. ISSN 1947-5500. Volum 11. s.1-6.

Mina Farmanbar; Alexander G Chefranov (2012) Investigation of Hill cipher modifications based on permutation and iteration. I: International Journal of Computer Science and Information Security. ISSN 1947-5500. Volum 10. s.18-24.

Bøker og kapitler

Mina Farmanbar; Maria P. Tzamtzi; Ajit Kumar Verma; Antorweep Chakravorty (2024) Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. Springer. ISBN 9789819998357.

Mina Farmanbar; Maria P. Tzamtzi; Ajit Kumar Verma; Antorweep Chakravorty (2024) Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications : 1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023. Springer Publishing Company. ISBN 9789819998364.

Formidling

Mina Farmanbar; Shaima Ahmad Freja; Arezo Shakeri (2025) Improving Early Dementia Detection with Advanced Language Models Based on Linguistic Features. 2nd International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA); 2024-10-01 - 2024-10-02.

Arezo Shakeri; Shaima Ahmad Freja; yeganeh Hallaj; Mina Farmanbar (2024) Diagnosis of Alzheimer's Disease through Speech: A Comparative Study of GPT Embedding Models and a Traditional NLP Feature Extraction Method. NORA Annual Conference 2024; 2024-06-03 - 2024-06-04.

Nourin Mohammad Haider Ali Bis; Mina Farmanbar; Aida Mehidpour Pirbazari (2024) Exploring Fashion Recommendation System: A Multimodal Clip Approach. NORA Annual Conference 2024; 2024-06-03 - 2024-06-04.

Arezo Shakeri; Mina Farmanbar; Shaima Ahmad Freja (2024) A Comparative Study of OpenAI Embedding Models and a Traditional NLP Feature Extraction Method. Applied Signal Processing Workshop: Joining academia and industry for better good!; 2024-11-12.

Arezo Shakeri; Mina Farmanbar; Shaima Ahmad Freja (2024) Diagnosis of Alzheimer’s Disease through Speech: A Comparative Study of OpenAI Embedding Models and a Traditional NLP Feature Extraction Method. Digital Life Norway conference 2024; 2024-10-14 - 2024-10-15.

Finnesand Erik; Muhammad Sulaiman; Mina Farmanbar (2023) An Efficient Machine Learning Approach for Building Segmentation Using Aerial Images and LiDAR Data. NORA Annual Conference 2023; 2023-06-05 - 2023-06-06.

Kiyan Parham; Mina Farmanbar; Rong Chunming; Øystein Arild (2019) Assessing the importance of energy management in smart homes. 4th International Conference on Viable Energy Trends (InVEnT2019); 2019-04-26.

Kilde: Nasjonalt vitenarkiv