- Institutt for datavitenskap
- Computer vision (Crowd and action analysis)
- Signal Processing (EEG for emotion recognition)
- Remote Sensing (Sea ice analysis)
- Operation optimization (Industrial applications)
Liste med publikasjoner fra min forskning. (Cristin)
Journal Publications:
A.S. Aljaloud. H, Ullah. "IA-SSLM: Irregularity-Aware Semi-Supervised Deep Learning Model for Analyzing Unusual Events in Crowds," IEEE Access, 2021.
S. Khaleghian, H. Ullah , T. Krmer, T. Eltoft, and A. Marinoni. "Deep Semi-Supervised Teacher-Student Model based on Label Propagation for Sea Ice Classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.
S. Khaleghian, H. Ullah , T. Kræmer, N. Hughes, T. Eltoft, and A. Marinoni. "Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks." MDPI Remote Sensing, 2021.
H. Ullah , I. Ul Islam, M. Ullah, M. Afaq, SD Khan, and J. Iqbal. "Multi-feature-based crowd video modeling for visual event detection." Springer Multimedia Systems , 2021.
MM .Yamin, M. Ullah, H. Ullah, B. Katt. "Weaponized AI for cyber attacks." Elsevier Journal of Information Security and Applications, 2021.
S.D. Khan, AB Altamimi, M. Ullah, H. Ullah, FA Cheikh, "TCM: Temporal Consistency Model for Head Detection in Complex Videos." Hindawi Journal of Sensors, 2021.
Ali, A. Ahmad, Y. Faheem, M. Altaf, H. Ullah. "Energy-efficient RRH association and resource allocation in D2D enabled multi-tier 5G C-RAN ." Telecommunication Systems. 2020.
H. Ullah, M. Ullah, M. Uzair. "A hybrid social influence model for pedestrian motion segmentation ." Springer Journal of Neural Computing and Applications, 2019.
H. Ullah, M Uzair, A Mahmood, M Ullah, SD Khan, FA Cheikh. "Internal emotion classification using EEG signal with sparse discriminative ensemble ." IEEE Access, 2019.
S. Basalamah, S.D. Khan, H. Ullah. " Scale driven convolutional neural network model for people counting and localization in crowd scenes . " IEEE Access, 2019.
S.D. Khan, H. Ullah. "A survey of advances in vision-based vehicle re-identification ." Elsevier Journal of Computer Vision and Image Understanding. 2019.
H. Ullah, AB Altamimi, M. Uzair, M. Ullah. " Anomalous entities detection and localization in pedestrian flows . " Elsevier Journal of Neurocomputing, 2018.
W. Khan, H. Ullah, A. Ahmad, K. Sultan, AJ Alzahrani, SD Khan. " CrashSafe: a formal model for proving crash-safety of Android application s. " Springer Journal of Human-centric Computing and Information Sciences, 2018.
H. Ullah, M Uzair, M Ullah, A Khan, A Ahmad, W Khan. " Density independent hydrodynamics model for crowd coherence detection . " Elsevier Journal of Neurocomputing, 2017.
F. Ahmad, A. Khan, IU Islam, M. Uzair, H. Ullah. " Illumination normalization using independent component analysis and filtering . " Taylor & Francis The Imaging Science Journal, 2017.
Conference Publications:
H. Ullah , SD Khan, M. Ullah, and FA Cheikh. "Social Modeling Meets Virtual Reality: An Immersive Implication." Springer International Conference on Pattern Recognition (Workshops), 2021.
H. Ullah, T. U. Ahmed, M. Ullah, F. A. Cheikh. IR-SSL: Improved Regularization Based Semi-Supervised Learning For Land Cover Classification. IEEE International Conference on Image Processing (ICIP), 2021-
H. Ullah, S. Khaleghian, T. Kromer, T. Eltoft, and A. Marinoni. "A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery." IEEE International Geoscience and Remote Sensing Symposium , 2021.
Koubarakis, M., Stamoulis, G., Bilidas, D., Ioannidis, T., Mandilaras, G., Pantazi, DA, Papadakis, G., Vlassov, V., Payberah, AH, Wang, T. and Sheikholeslami, S., 2021, May. Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project. In Proceedings of the conference on Big Data from Space . Publications Office of the European Union, 2021.
M. Ullah, MM Yamin, A. Mohammed, SD Khan, H. Ullah , and Faouzi Alaya Cheikh. "Attention-based LSTM network for action recognition in sports." IS & T / SPIE Electronic Imaging, 2021.
Shagdar, M. Ullah, H. Ullah , and FA Cheikh. "Geometric Deep Learning for Multi-Object Tracking: A Brief Review." 9th IEEE European Workshop on Visual Information Processing, 2021.
H. Ullah , M. Ullah, SD Khan, and FA Cheikh. "Evaluating deep semi-supervised learning methods for computer vision applications." IS & T / SPIE Electronic Imaging, 2021.
Riaz, M. Uzair, H. Ullah, M. Ullah. Anomalous Human Action Detection Using a Cascade of Deep Learning Models. 9th IEEE European Workshop on Visual Information Processing (EUVIP), 2021.
S.D. Khan, M. Mahmud, H. Ullah, M. Ullah, F. A. Cheikh. Crowd congestion detection in videos. Electronic Imaging, 2020.
H. Ullah, M. Mahmud, H. Ullah, K. Ahmad, A. S. Imran, F. A. Cheikh. HEAD BASED TRACKING. Electronic Imaging, 2020.
H. Ullah, S. D. Khan, M. Ullah, M. Mahmud, F. A. Cheikh. Generative adversarial networks: A short review. Electronic Imaging, 2020.
S. Kanwal, M. Uzair, H. Ullah, S. D. Khan, M. Ullah, F. A. Cheikh. An image based prediction model for sleep stage identification. IEEE International Conference on Image Processing (ICIP), 2019.
S. D. Khan, H. Ullah, M. Uzair, M. Ullah, R. Ullah, F. A. Cheikh, F. A. Disam: Density independent and scale aware model for crowd counting and localization. IEEE International Conference on Image Processing (ICIP), 2019.
S. D. Khan, H. Ullah, M. Ullah, N. Conci, F. A. Cheikh, A. Beghdadi. Person head detection based deep model for people counting in sports videos. 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019.
H. Ullah, S. D. Khan, M. Ullah, F. A. Cheikh, M. Uzair. Two stream model for crowd video classification, 9th IEEE European Workshop on Visual Information Processing, 2019.
S. D. Khan, H. Ullah, M. Ullah, F. A. Cheikh, A. Beghdadi. Dimension invariant model for human head detection. 8th IEEE European Workshop on Visual Information Processing (EUVIP), 2019
M. Ullah, H. Ullah, S. D. Khan, F. A. Cheikh. Stacked lstm network for human activity recognition using smartphone data. 8th IEEE European workshop on visual information processing (EUVIP), 2019.
M. Bilal, M. Ullah, H. Ullah. Chemometric data analysis with autoencoder neural network. Electronic Imaging, 2019.
M. Ullah, H. Ullah, F. A. Cheikh. Single shot appearance model (ssam) for multi-target tracking. Electronic Imaging, 2019.
M. Ullah, H. Ullah, N. Conci, F. D. De Natale. Crowd behavior identification. IEEE international conference on image processing (ICIP) ). 2016.
H. Ullah, M. Ullah, H. Afridi, N. Conci, F. G. De Natale. Traffic accident detection through a hydrodynamic lens. IEEE International conference on Image Processing, 2015.
Current and previous courses:
Data science seminar (DAT390)
Digitial operation optimization (IND310)
Production logistics and distribution (IND250)
Introductory project (IMRT100)
Data processing and analysis (INF230)
Digital image processing
Digital logic design
Computer vision
Digital signal processing
Computer networks
Data communications
Recent advances in machine learning
Computer architecture
System design (Arduino )
Signal and systems
Introduction to programming
Introduction to computer systems
EXPERIENCE:
2021 - Present: Associate Professor in data science/industrial economics at Norwegian University of Life Sciences.
2020 - 2021: Postdoctoral Researcher in CIRFA at The Arctic University of Norway.
2016 - 2020: Assistant Professor in Computer Science and Engineering at The University of Ha'il, Saudi Arabia.
2015 - 2016: Assistant Professor in Electrical Engineering at COMSATS University of Islamabad, Wah Cantt, Pakistan.
EDUCATION:
2011 - 2015: PhD in Information and Communication technology, Department of Information Engineering and Computer Science, University of Trento, Italy.
2007 - 2009: MSc in Electronics and Computer Engineeringm Hanyang University, Seoul, South Korea.
PRESENTATIONS AND PARTICIPATIONS:
Dominant motion analysis in regular and irregular crowd scenes, 5th ECCV workshop on human behavior understanding. Switzerland, Zurich.
Crowd motion segmentation and anomaly detection via multi-label optimization, The 1st ICPR workshop on pattern recognition and crowd analysis. Tsukuba Science City, Japan.
INRIA visual recognition and machine learning Summer School, Grenoble, France.