Mina Farmanbar

Førsteamanuensis i datateknologi

Mina Farmanbar

Kontakt

Telefon: 51834507

E-post: mina.farmanbar@uis.no

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:

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:

 

Følg meg på nett

LinkedIn

Publikasjoner

Vitenskapelige publikasjoner

Shakeri, Arezo; Farmanbar, Mina

(2025)

Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy.

Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring.

ISSN 2352-8729.

Volum 17.

Hefte 1.

DOI: 10.1002/dad2.70082

Sulaiman, Muhammad; Farmanbar, Mina; Kagami, Shingo; Belbachir, Ahmed Nabil; Rong, Chunming

(2025)

Online deep learning’s role in conquering the challenges of streaming data: a survey.

Knowledge and Information Systems.

ISSN 0219-1377.

DOI: 10.1007/s10115-025-02351-3

Sulaiman, Muhammad; Farmanbar, Mina; Belbachir, Nabil; Rong, Chunming

(2024)

Precision in Building Extraction : Comparing Shallow and Deep Models Using LiDAR Data. I: 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 978-981-99-9836-4.

s.431-444.

DOI: 10.1007/978-981-99-9836-4_32

Sulaiman, Muhammad; Finnesand, Erik; Farmanbar, Mina; Belbachir, Nabil; Rong, Chunming

(2024)

Building Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data.

IEEE Access.

ISSN 2169-3536.

Volum 12.

s.60329-60346.

DOI: 10.1109/ACCESS.2024.3391416

Shakeri, Arezo; Freja, Shaima Ahmad; Hallaj, Yeganeh; Farmanbar, Mina

(2024)

Uncovering linguistic patterns : A machine learning exploration for early dementia detection in speech transcripts . I: 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI).

IEEE conference proceedings.

ISBN 979-8-3503-4976-4.

DOI: 10.1109/ICAPAI61893.2024.10541296

Sulaiman, Muhammad; Farmanbar, Mina; Belbachir, Nabil; Chunming, Rong

(2024)

Genetic Algorithm Empowering Unsupervised Learning for Optimizing Building Segmentation from Light Detection and Ranging Point Clouds.

Remote Sensing.

ISSN 2072-4292.

Volum 16.

Hefte 19.

DOI: 10.3390/rs16193603

Eftestøl, Trygve Christian; Farmanbar, Mina; Choat, Tomas Royal; Ljosdal, Otto Nessa; Dyvik, Mathias; Cappelen, Casper; Frøysa, Vidar; Kværness, Jørn; Berg, Gøran Jansson; Ørn, Stein

(2024)

Exploring Pixel Value Scaling in the Application of Convolutional Neural Network U-Net Models for Segmentation of the Myocardium in Magnetic Resonance Images .

Computing in cardiology.

ISSN 2325-8861.

Volum 51.

DOI: 10.22489/CinC.2024.093

Amber, Khuram Pervez; Ahmad, Rizwan; Farmanbar, Mina; Bashir, Muhammad Anser; Mehmood, Sajid; Khan, Muhammad Sajid; Saeed, Muhammad Umer

(2021)

Unlocking Household Electricity Consumption in Pakistan.

Buildings.

ISSN 2075-5309.

Volum 11.

Hefte 11.

DOI: 10.3390/buildings11110566

Farmanbar, Mina; Chunming, Rong

(2020)

Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance.

Processes.

ISSN 2227-9717.

Volum 8.

Hefte 2.

DOI: 10.3390/pr8020250

Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong

(2020)

Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis.

Processes.

ISSN 2227-9717.

Volum 8.

Hefte 4.

DOI: 10.3390/pr8040484

Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong

(2020)

Improving Load Forecast Accuracy of Households Using Load Disaggregation Techniques. I: 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 978-1-7281-7647-5.

s.843-851.

DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00140

Farmanbar, Mina; Parham, Kiyan; Arild, Øystein; Chunming, Rong

(2019)

A widespread review of smart grids towards smart cities.

Energies.

ISSN 1996-1073.

Volum 12:4484.

Hefte 23.

s.1-18.

DOI: 10.3390/en12234484

Farmanbar, Mina; Palanisamy, Anandhakumar; Høydal, Anne Britt; Keprate, Arvind; Haug, Gjermund

(2019)

A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf.

IOP Conference Series: Materials Science and Engineering.

ISSN 1757-8981.

Volum 700.

Hefte 1.

DOI: 10.1088/1757-899X/700/1/012037

Farmanbar, Mina; Toygar, Onsen

(2017)

Spoof Detection on Face and Palmprint Biometrics.

Signal, Image and Video Processing.

ISSN 1863-1703.

Volum 11.

Hefte 7.

s.1253-1260.

DOI: 10.1007/s11760-017-1082-y

Farmanbar, Mina; Toygar, Onsen

(2016)

Feature Selection for the Fusion of Face and Palmprint Biometrics.

Signal, Image and Video Processing.

ISSN 1863-1703.

Volum 10.

Hefte 5.

s.951-958.

DOI: 10.1007/s11760-015-0845-6

Farmanbar, Mina; Toygar, Onsen

(2015)

A Hybrid Approach for Person Identification Using Palmprint and Face Biometrics.

International Journal of Pattern Recognition and Artificial Intelligence.

ISSN 0218-0014.

Volum 29.

Hefte 6.

DOI: 10.1142/S0218001415560091

Lotfi, Nasser; Tamouk, Jamshid; Farmanbar, Mina

(2013)

3-SAT Problem A New Memetic-PSO Algorithm.

International Journal of Computer Science and Information Security.

ISSN 1947-5500.

Volum 11.

Hefte 6.

s.1-6.

Tamouk, Jamshid; Lotfi, Nasser; Farmanbar, Mina

(2013)

Satellite image classification methods and Landsat 5TM Bands.

International Journal of Computer Science and Information Security.

ISSN 1947-5500.

Volum 11.

Hefte 6.

s.99-103.

Farmanbar, Mina; Chefranov, Alexander G

(2012)

Investigation of Hill cipher modifications based on permutation and iteration.

International Journal of Computer Science and Information Security.

ISSN 1947-5500.

Volum 10.

Hefte 9.

s.18-24.

Bøker og kapitler

Farmanbar, Mina; Tzamtzi, Maria P.; Verma, Ajit Kumar; Chakravorty, Antorweep

(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 978-981-99-9836-4.

Hefte ..

Farmanbar, Mina; Tzamtzi, Maria P.; Verma, Ajit Kumar; Chakravorty, Antorweep

(2024)

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. FAIEMA 2023.

Springer.

ISBN 978-981-99-9835-7.

Formidling

Shakeri, Arezo; Ahmad Freja, Shaima; Hallaj, yeganeh; Farmanbar, Mina

(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.

(2024)

Exploring Fashion Recommendation System: A Multimodal Clip Approach.

NORA Annual Conference 2024;

2024-06-03 - 2024-06-04.

Farmanbar, Mina; Ahmad Freja, Shaima; Shakeri, Arezo

(2024)

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.

Sulaiman, Muhammad; Farmanbar, Mina; Belbachir, Ahmed Nabil; Rong, Chunming

(2024)

Leveraging YOLOv8 Fine-Tuning and SEEM Inference for Accurate Building Segmentation Using RGB and LiDAR Datasets.

2nd International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA);

2024-10-01 - 2024-10-02.

Shakeri, Arezo; Farmanbar, Mina; Ahmad Freja, Shaima

(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.

Shakeri, Arezo; Farmanbar, Mina; Ahmad Freja, Shaima

(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.

Eftestøl, Trygve Christian; Farmanbar, Mina; Choat, Tomas Royal; Ljosdal, Otto Nessa; Dyvik, Mathias; Cappelen, Casper; Frøysa, Vidar; Kværness, Jørn; Berg, Gøran Jansson; Ørn, Stein

(2024)

Exploring Pixel Value Scaling in the Application of Convolutional Neural Network U-Net Models for Segmentation of the Myocardium in Magnetic Resonance Images.

Computing in Cardiology 2024;

2024-09-08 - 2024-09-11.

Erik, Finnesand; Sulaiman, Muhammad; Farmanbar, Mina

(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.

Farmanbar, Mina; Kolstrup, Per Johan

(2020)

Publishing with Open Journal Systems (OJS): the engaged university and library support at the University of Stavanger.

The 15th Munin Conference on Scholarly Publishing 2020;

2020-11-17 - 2020-11-19.

Parham, Kiyan; Farmanbar, Mina; Chunming, Rong; Arild, Øystein

(2019)

Assessing the importance of energy management in smart homes.

4th International Conference on Viable Energy Trends (InVEnT2019);

2019-04-26 - .