Muntaha Sakeena

  • Junior Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: A - Campus-Platz 1
T: +43/2742/313 228 594


  • Medien und Digitale Technologien


  • Since 2017. Junior Researcher at FHSTP Austria.
  • 2016. Completed Masters in Computer Engineering, NUST, Pakistan
  • 2012. Completed Bachelors in Computer System engineering, NFCIET, Pakistan
  • research focus includes machine learning, image processing, pattern recognition and computer vision.



Sakeena, M., Stumpe, E., Despotovic, M., Koch, D., & Zeppelzauer, M. (2023). On the Robustness and Generalization Ability of Building Footprint Extraction on the example of SegNet and Mask R-CNN. Journal of Remote Sensing, 15(8). https://doi.org/10.3390/rs15082135
Haltrich, M., Seidl, M., Reich, V., Weißmann, J., Jackel, C., Strebl, J., & Sakeena, M. (2023). ScribeID AI – Exploring the origins of the Klosterneuburg scriptorium using artificial intelligence. In M. Haltrich & K. Holubar (Eds.), Medialitäten von Heiligkeit (1st ed., Vol. 24, pp. 199–204). Böhlau.
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2020). Real Estate Image Analysis - A Literature Review. Journal of Real Estate Literature, 27(2), 269–300. https://doi.org/10/gnt2wg
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2020). How High is the Tide? Estimation of Flood Level from Social Media. Proceedings of Joint Austrian Computer Vision and Robotics Workshop 2020, 2. https://doi.org/10/gnt2wh
Sakeena, Muntaha, & Zeppelzauer, Matthias. (2019). Combining Deep Learning and Variational Level Sets for Segmentation of Buildings. Proceedings of ARW & OAGM Workshop 2019, 2. https://doi.org/10/ghz24z
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10/fsxn
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2019). Flood Level Estimation from Social Media Images. CEUR Proceedings of the MediaEval 2019 Workshop, 2670, 2.
Ammar, M., Khawaja, S. G., Atif, A., Akram, M. U., & Sakeena, M. (2018). Learning Based Segmentation of Skin Lesion from Dermoscopic Images. 2018 IEEE 20th International Conference on E-Health Networking, Applications and Services (Healthcom), 1–6. https://doi.org/10/gh377t
Sakeena, M., Riasat, R., Hassan, A., & Riaz, F. (2018). Supervised Level Sets For Dermoscopic Image Segmentation. 2018 IEEE 20th International Conference on E-Health Networking, Applications and Services (Healthcom), 1–5. https://doi.org/10/gh377x
Riasat, R., Sakeena, M., Sadiq, A. H., & Wang, Y.-J. (2018). Onamd: An Online Android Malware Detection Approach. 2018 International Conference on Machine Learning and Cybernetics (ICMLC), 1, 190–196. https://doi.org/10/gh377w
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR "18), 126–134. https://doi.org/10/ghpp2k
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech - RETech"18, 12–17. https://doi.org/10/ghpp2m
Despotovic, M., Sakeena, M., Koch, D., Döller, M., & Zeppelzauer, M. (2017). Predicting Heating Energy Demand by Computer Vision. Computer Science - Research and Development, 33, 231–232. https://doi.org/10/gh3772
Riaz, F., Nisar, R., Hassan, A., Sakeena, M., & Azad, M. A. (2017). Estimation of Illumination Map from Dermoscopy Images for Extracting Differential Structures Using Gabor Local Mesh Patterns. 2017 International Conference on Computational Science and Computational Intelligence (CSCI), 426–431. https://doi.org/10/gh377z
Sakeena, M., Riasat, R., Sadiq, A. H., Ahmad, Z., & Riaz, F. (2017). Dermoscopic image analysis using pattern recognition techniques from region of interest (ROI) for detection of melanoma. Machine Learning and Cybernetics (ICMLC), 2017 International Conference On, 1, 162–168. https://doi.org/10/gh377r
Riasat, R., Sakeena, M., SADIQ, A. H., Chong, W., ZHANG, C., & WANG, Y. (2017). Machine Learning Approach for Malware Detection by Using APKs. DEStech Transactions on Computer Science and Engineering. https://doi.org/10/gh377v
Sakeena, M. (2016). Location Tracking And Detection Of Human Using Mobile Robot And Wireless Sensor Networks. International Journal Of Engineering And Computer Science, 5. https://doi.org/10/gh377s
Riasat, R., Guangjun, N., Riasat, Z., Aslam, I., & Sakeena, M. (2016). Effects of Nanoparticles on Gastrointestinal Disorders and Therapy. https://doi.org/10/gh377p
RIASAT, R., Sakeena, M., Chong, W., SADIQ, A. H., & WANG, Y. (2016). A Survey on Android Malware Detection Techniques. DEStech Transactions on Computer Science and Engineering.