Mixed Reality · Machine Learning · 3D Reconstruction
Open to research collaborations, industry partnerships, speaking invitations, and PhD/postdoc supervision.
I am a Senior Researcher at the Luxembourg Institute of Science and Technology (LIST), in the HANDS Unit. My work spans Mixed Reality, Computer Vision, Machine Learning, and 3D Reconstruction.
I hold a PhD in Computer Vision from the University of Reims (France), a Master's from the University of Limoges, and a Bachelor's in Computer Science & AI from the University of Aleppo (Syria).
Scene-based visual hull guided multi-stereovision frameworks, point clouds, and real-time dense reconstruction of human actors.
OST-HMD applications, AR safety training, radiological incident response (RISAR), fluid simulation in MR, and spatial computing systems.
Deep audio embeddings, VGGish and OpenL3 features, acoustic COVID-19 biomarker classification, and neural network health AI.
RTK-GPS + OST-HMD outdoor tracking, depth estimation, 6-DoF pose estimation, and high-precision AR spatial registration.
| 2026 | Frontiers in HCI | Intergenerational workshop for co-designing XR application storyboard to support older adults in daily tasks: methodology and preliminary results | Ismael, Maquil, Hoffmann, McCall, Hadj Sassi, Tobias | PDF → |
| 2025 | SCITEPRESS - Science and Technology Publications | Real-Time Kinematic Positioning and Optical See-Through Head-Mounted Display for Outdoor Tracking: Hybrid System and Preliminary Assessment | Ismael, Cornil | PDF → |
| 2024 | Frontiers in VR | Acceptance of Augmented Reality for Laboratory Safety Training: Methodology and Evaluation | Ismael, McCall, McGee, Butean, Stefas, Baixauli, Aranda | PDF → |
| 2024 | ERCIM News | Fluid Simulation in Mixed Reality | Ismael, McCall, Baixauli | Link → |
| 2023 | IEEE VR Wkshp | Radiological Incident System using Augmented Reality (RISAR) | Ismael, McCall, Cornil, Griffin, Baixauli | PDF → |
| 2022 | Digital Biomarkers | Voice & Cough Audio Dataset for COVID-19 Detection with VGGish and OpenL3 Embeddings | Ismael, Despotovic, Cornil, McCall, Fagherazzi et al. | PDF → |
| 2020 | IHCI · Springer | OST-HMD for Safety Training | Koenig, Ismael, McCall | Springer → |
| 2018 | HAL | Actor 3D Reconstruction by a Scene-Based, Visual Hull Guided, Multi-Stereovision Framework | Ismael, Ramirez Orozco, Loscos, Prevost, Rémion | HAL → |
| 2015 | CVMP · ACM | Multi-View 3D Reconstruction: Visual Hull Guided Multi-Stereovision Framework | Ismael, Prévost, Rémion, Loscos, Niquin, Ramirez Orozco | HAL → |
XR for collaborative robot programming
Training in Robotic Fibre pLacement using EXtended reality for Collaborative programming (TRiFlex-C).
master-xr →
Fluid Simulation in Extended Reality
FSXR demonstrates the capability of advanced network infrastructure, providing a direct performance comparison between O-RAN-based 5G SA and 5G Wi-Fi networks. By bridging high-performance computing with immersive reality, FSXR delivers innovation that benefits research communities, industries, and society at large, marking a significant step toward the connected, collaborative environments envisioned in the 5G/6G era.
6g-xr →
COVID-19 Detection by Cough & Voice Analysis
Led development of an AI system detecting COVID-19 from acoustic voice and cough signatures. Funded by the Luxembourg National Research Fund. Partners: University of Luxembourg, Luxembourg Institute of Health.
Watch the reportage on RTLAR Chemical Lab Safety Training
OST-HMD system simulating hazardous lab scenarios — acid handling, chemical mixing — for safe training without real risk.
Publication →
Radiological Incident System in AR
Mixed Reality system enabling emergency responders to visualise radiological contamination and coordinate response via spatial holographic overlays.
Publication →
Intergenerational Workshop for Co-designing XR Application Storyboard to Support Older Adults in Daily Tasks
Publication →
Visual Hull Human Reconstruction
Scene-based multi-baseline stereovision framework for high-precision 3D human actor reconstruction, including concave surfaces and occlusion handling.
HAL →Open to research collaborations, industry partnerships, speaking invitations, and PhD/postdoc supervision.