Selected Conferences & Talks
Nature of Work
Academic
Profession
Assistant Professor
Email Address
[email protected]
Office Phone
(+970) 9 2345113 Ext. 2823

Ahmed Alia

Nature of Work
Academic
Profession
Assistant Professor
Email Address
[email protected]
Office Phone
(+970) 9 2345113 Ext. 2823
Selected Conferences & Talks
  1. Alia, A., Maree, M., and Chraibi, M. “A Dynamic Distance Social LSTM for Predicting Pedestrian Trajectories in Crowded Environments.” MadeAI 2025, Porto, Portugal, 7–11 Jul 2025. Abstract and Talk.
  2. Helmholtz AI Conference 2025, Karlsruhe, Germany, 03–05 Jun 2025. Attending.
  3. Abubaker, M., Alsadder, Z., Abdelhaq, H., Boltes, M., and Alia, A. “A Novel Dataset for Detecting
    Pedestrian Heads in Crowds Using Deep Learning Algorithms.” TGF24, Lyon, France, 2–5 Dec 2024. Abstract and
    Talk.
  4. Helmholtz AI Conference 2024, Düsseldorf, Germany, 12–14 Jun 2024. Attending.
  5. Alia, A., Maree, M., and Chraibi, M. “Artificial Intelligence-based Early Pushing Detection in Live Video
    Streams of Crowds.” CompAuto 2023, Paris, France, 07–09 Dec 2023. Abstract and
    Talk.
  6. Alia, A., Maree, M., and Chraibi, M. “A Novel Voronoi-based CNN Approach for Crowd Video Analysis
    and Pushing Person Detection.” Helmholtz AI Conference 2023, Hamburg, Germany, 12–14 Jun 2023.
    Abstract and Talk.
  7. Alia, A., Maree, M., and Chraibi, M. “DL4PuDe: Deep-Learning Framework for Pushing Detection in
    Pedestrian Dynamics.” deRSE23, Paderborn, Germany, 20–22 Feb 2023. Abstract and
    Talk.
  8. Alia, A., Maree, M., and Chraibi, M. “A Fast Hybrid Deep Neural Network Model for Pushing Behavior
    Detection in Human Crowds.” AICCSA 2022, Abu Dhabi, UAE, 5–7 Dec 2022. Conference Paper and
    Talk.
  9. Alia, A., Maree, M., Haensel, D., Chraibi, M., Lügering, H., Sieben, A., and Üsten, E. “Two Methods
    for Detecting Pushing Behavior from Videos: A Psychological Rating System and a Deep Learning-based
    Approach.” PED2021, Melbourne, 29–30 Nov 2021. Abstract and
    Talk.
  10. Alia, A., Maree, M., and Chraibi, M. “A Real-Time Neural Network-based System for Pushing Detection
    in Crowded Event Entrances.” Traffic and Granular Flow, IIT Delhi, India, 15–17 Oct 2022. Abstract and
    Talk.