Ahmed Bendaouia (Ben)

Selected Publications

I am interested in the multimodeling of complicated physio-chemical processes through Digital Twins and Artificial Intelligence, with a focus on soft sensing deployment. As part of my PhD, I have investigated computer vision and deep neural networks, using supervised machine learning and hybrid feature extraction of complicated flotation processes with physics-based digital twin technology. My full publication list is available on Google Scholar. Below is a selection:

Selected Journal Articles

• AI for Enhanced Flotation Monitoring – Ahmed Bendaouia, et al. – Computers and Chemical Engineering, 2024 – DOI
• Hybrid Features in Froth Flotation – Ahmed Bendaouia, et al. – Engineering Applications of AI, 2024 – DOI
• Digital Twin for Mineral Processing – Ahmed Bendaouia, et al. – IJAMT, 2024 – DOI
• Digital twin for battery energy storage systems – Ahmed Bendaouia, et al. – Renewable and Sustainable Energy Reviews, 2025 – DOI
• Smart Soft Sensors in Mineral Processing – Ahmed Bendaouia, et al. – SNCS, 2024 – DOI
• Intelligent Stability monitoring using embedded computer vision – Ahmed Bendaouia, et al. – IJAMT, 2025 – DOI

Selected Conference Articles

• Adaptive Transfer Learning for Mineral Grade Prediction in Mining Industry 4.0
  Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Zaynab Naciri, Ilham Benmallouk, Oumkeltoum Amar
  INTIS 2024 – New Technologies, Artificial Intelligence and Smart Data, Communications in Computer and Information Science, vol. 2645, Springer, Cham, 2026
  DOI: 10.1007/978-3-032-14964-0_12
• Robots Performance Monitoring in Autonomous Manufacturing Operations using Machine Learning and Big Data
  Ahmed Bendaouia, Salma Messaoudi, El Hassan Abdelwahed, Jianzhi Li
  DATA 25 – 14th International Conference on Data Science, June 2025, Bilbao, Spain. Best paper selected for journal extension
• Deep Learning and Big Data Framework for Real-Time Porosity Prediction in Laser Powder Bed Fusion
  Ahmed Bendaouia, Abdessabour Chakir, Monsusru Ramoni, El Hassan Abdelwahed, Jianzhi Li
  IEEE CASE 2025 – Los Angeles, California
• Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth
  Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, Francois Bourzeix, Achraf Soulala
  DATA 23 – 12th International Conference on Data Science, Technology and Applications, 11–13 July 2023, Rome, Italy. Best paper selected for journal extension
• Fourier Transform and Machine Learning for Real-Time Monitoring of Froth Flotation in Mining Industry
  Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, Youssef Chafiqui, Oussama Hasidi
  The 6th IEEE Conference on Artificial Intelligence and Multimedia Processing, 16–22 Dec 2023, Agadir, Morocco. IEEE indexed. Best paper award invited for special issue.
  

Media Content

I also enjoy science communication and visual storytelling. Here’s a video I created showcasing some of my previous work:

Industrial Projects & Collaborations

• Digital Twin R&D Team Leader at America Additive Foundry.
• Project manager of industry/academia partnerships in the empowerment of emerging local companies in the Rio Grande Valley by the integration of AI and digital transformation based solutions (Texas).
• Electric Vehicles Digital Twining in collaboration with DHBW University (Germany).
• Smart City energy systems with Università del Salento (Italy).
• AI and EEG Analysis for Neurodegenerative Diseases Detection Paris Saclay University (France).
• Industrial AI/DT projects in Mining Industry with Reminex, Managem Group (Morocco).