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  1. Employees

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Mohib Ullah

Mohib Ullah

Researcher
Department of Computer Science
Faculty of Information Technology and Electrical Engineering

mohib.ullah@ntnu.no
+4741331756 +4740575721 Ametyst-bygget, A-252, Gjøvik, Teknologivegen 22, 2815 Gjøvik
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About Publications Media

About

Mohib Ullah (Member, IEEE) is a researcher at NTNU, where he is involved in different research, management, teaching, and industrial projects. His research interests include medical imaging, crowd analysis, object segmentation, behaviour classification, and tracking. In these research areas, he has published several high-impact peer-reviewed journals, conferences, and workshop articles. He served as a Program Committee Member for the International Workshop on Computer Vision in Sports (CVsports). He also served as a Chair for the Technical Program at the European Workshop on Visual Information Processing. He is the Reviewer of well-reputed conferences and journals (Neurocomputing (Elsevier), Neural Computing and Applications (Elsevier), Multimedia Tools and Applications (Spring), IEEE ACCESS, the Journal of Imaging, IEEE CVPRw, IEEE ICIP, and IEEE AVSS).

Background:

BSc (Electronic and Computer Engineering) from Politecnico Di Torino, Torino, Italy, 2012. 

MSc (Telecommunication Engineering) from the University of Trento, Trento, Italy, 2015.

PhD (Computer science) from the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Norway, 2019. 

Research Interests:

Image and video analysis

Medical imaging 

Deep learning

Pattern recognition

Teaching:

IMT4392 - Deep learning for visual computing, Master level. 

IMT3104 - Kunstig intelligent, Bachelor level. 

IMT3017 - Computer vision, Bachelor level.

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2020

  • Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi. (2020) Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access. volum 8.
    Academic article

2019

  • Bilal, Muhammad; Ullah, Mohib; Ullah, Habib. (2019) Chemometric data analysis with autoencoder neural network. IS&T International Symposium on Electronic Imaging Science and Technology. volum 2019 (1).
    Academic article
  • Kanwal, Saira; Uzair, Muhammad; Ullah, Habib; Khan, Sultan Daud; Ullah, Mohib; Alaya Cheikh, Faouzi. (2019) An Image Based Prediction Model for Sleep Stage Identification. Proceedings of IEEE International Conference on Image Processing. volum 2019-September.
    Academic article
  • Khan, Sultan Daud; Ullah, Habib; Ullah, Mohib; Cheikh, Faouzi Alaya; Beghdadi, Azeddine. (2019) Dimension Invariant Model for Human Head Detection. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article
  • Khan, Sultan Daud; Ullah, Habib; Uzair, Mohammad; Ullah, Mohib; Ullah, Rehan; Alaya Cheikh, Faouzi. (2019) Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization. Proceedings of IEEE International Conference on Image Processing. volum 2019-September.
    Academic article
  • Ullah, Habib; Khan, Sultan Daud; Ullah, Mohib; Uzair, Muhammad; Alaya Cheikh, Faouzi. (2019) Two stream model for crowd video classification. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article
  • Ullah, Habib; Muhammad, Uzair; Mahmood, Arif; Ullah, Mohib; Khan, Sultan Daud; Alaya Cheikh, Faouzi. (2019) Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble. IEEE Access. volum 7.
    Academic article
  • Ullah, Mohib; Ullah, Habib; Khan, Sultan Daud; Alaya Cheikh, Faouzi. (2019) Stacked Lstm Network for Human Activity Recognition Using Smartphone Data. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article

2018

  • Ullah, Habib; Altamimi, Ahmed Bder; Uzair, Muhammad; Ullah, Mohib. (2018) Anomalous entities detection and localization in pedestrian flows. Neurocomputing. volum 290.
    Academic article
  • Ullah, Habib; Ullah, Mohib; Muhammad, Uzair. (2018) A hybrid social influence model for pedestrian motion segmentation. Neural Computing & Applications.
    Academic article
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi. (2018) PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging. volum 4 (9).
    Academic article
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2018) A hierarchical feature model for multi-target tracking. Proceedings of IEEE International Conference on Image Processing.
    Academic article

2017

  • Ullah, Habib; Uzair, Muhammad; Ullah, Mohib; Khan, Asif; Ahmad, Ayaz; Khan, Wilayat. (2017) Density independent hydrodynamics model for crowd coherency detection. Neurocomputing. volum 242.
    Academic article
  • Ullah, Mohib; Ullah, Habib; Alseadonn, Ibrahim M. (2017) Human action recognition in videos using stable features. Signal & Image Processing :An International Journal (SIPIJ).
    Academic article

2016

  • Ullah, Mohib; Alaya Cheikh, Faouzi; Imran, Ali Shariq. (2016) HoG Based Real-Time Multi-Target Tracking in Bayesian Framework. 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
    Academic chapter/article/Conference paper
  • Ullah, Mohib; Ullah, Habib; Conci, Nicola; De Natale, Francesco G.B.. (2016) Crowd behavior identification. 2016 IEEE International Conference on Image Processing(ICIP)-Proceedings.
    Academic chapter/article/Conference paper

Journal publications

  • Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi. (2020) Semi-supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE Access. volum 8.
    Academic article
  • Bilal, Muhammad; Ullah, Mohib; Ullah, Habib. (2019) Chemometric data analysis with autoencoder neural network. IS&T International Symposium on Electronic Imaging Science and Technology. volum 2019 (1).
    Academic article
  • Kanwal, Saira; Uzair, Muhammad; Ullah, Habib; Khan, Sultan Daud; Ullah, Mohib; Alaya Cheikh, Faouzi. (2019) An Image Based Prediction Model for Sleep Stage Identification. Proceedings of IEEE International Conference on Image Processing. volum 2019-September.
    Academic article
  • Khan, Sultan Daud; Ullah, Habib; Ullah, Mohib; Cheikh, Faouzi Alaya; Beghdadi, Azeddine. (2019) Dimension Invariant Model for Human Head Detection. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article
  • Khan, Sultan Daud; Ullah, Habib; Uzair, Mohammad; Ullah, Mohib; Ullah, Rehan; Alaya Cheikh, Faouzi. (2019) Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization. Proceedings of IEEE International Conference on Image Processing. volum 2019-September.
    Academic article
  • Ullah, Habib; Khan, Sultan Daud; Ullah, Mohib; Uzair, Muhammad; Alaya Cheikh, Faouzi. (2019) Two stream model for crowd video classification. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article
  • Ullah, Habib; Muhammad, Uzair; Mahmood, Arif; Ullah, Mohib; Khan, Sultan Daud; Alaya Cheikh, Faouzi. (2019) Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble. IEEE Access. volum 7.
    Academic article
  • Ullah, Mohib; Ullah, Habib; Khan, Sultan Daud; Alaya Cheikh, Faouzi. (2019) Stacked Lstm Network for Human Activity Recognition Using Smartphone Data. European Workshop on Visual Information Processing. volum 2019-October.
    Academic article
  • Ullah, Habib; Altamimi, Ahmed Bder; Uzair, Muhammad; Ullah, Mohib. (2018) Anomalous entities detection and localization in pedestrian flows. Neurocomputing. volum 290.
    Academic article
  • Ullah, Habib; Ullah, Mohib; Muhammad, Uzair. (2018) A hybrid social influence model for pedestrian motion segmentation. Neural Computing & Applications.
    Academic article
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi. (2018) PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging. volum 4 (9).
    Academic article
  • Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2018) A hierarchical feature model for multi-target tracking. Proceedings of IEEE International Conference on Image Processing.
    Academic article
  • Ullah, Habib; Uzair, Muhammad; Ullah, Mohib; Khan, Asif; Ahmad, Ayaz; Khan, Wilayat. (2017) Density independent hydrodynamics model for crowd coherency detection. Neurocomputing. volum 242.
    Academic article
  • Ullah, Mohib; Ullah, Habib; Alseadonn, Ibrahim M. (2017) Human action recognition in videos using stable features. Signal & Image Processing :An International Journal (SIPIJ).
    Academic article

Part of book/report

  • Ullah, Mohib; Alaya Cheikh, Faouzi; Imran, Ali Shariq. (2016) HoG Based Real-Time Multi-Target Tracking in Bayesian Framework. 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
    Academic chapter/article/Conference paper
  • Ullah, Mohib; Ullah, Habib; Conci, Nicola; De Natale, Francesco G.B.. (2016) Crowd behavior identification. 2016 IEEE International Conference on Image Processing(ICIP)-Proceedings.
    Academic chapter/article/Conference paper

Media

2019

  • Lecture
    Ahmad, Kashif; Pogorelov, Konstantin; Ullah, Mohib; Riegler, Michael; Conci, Nicola; Langguth, Johannes; Al-Fuqaha, Ala. (2019) Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. MediaEval Benchmarking Initiative for Multimedia Evaluation ; Sophia Antipolis. 2019-10-27 - 2019-10-31.
  • Lecture
    Khan, Sultan Daud; Ullah, Habib; Ullah, Mohib; Conci, Nicola; Alaya Cheikh, Faouzi; Beghdadi, Azeddine. (2019) Person Head Detection Based Deep Model for People Counting in Sports Videos. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) ; Taipei. 2019-09-18 - 2019-09-21.

2017

  • Poster
    Ullah, Mohib; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Wang, Zhaohui. (2017) A Hierarchical Feature Model For Multi-Target Tracking. International Conference on Image Processing (ICIP) . IEEE; Beijing. 2017-09-17 - 2017-09-20.
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