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Electronics Webinar | Next-Generation Visual Intelligence: Real-Time Deep Learning for Video and Image Processing — Challenges, Solutions, and Future Directions

06 July 2026
15:00 (EDT)
Online

Welcome from
the chair

8th Electronics Webinar

Next-Generation Visual Intelligence: Real-Time Deep Learning for Video and Image Processing — Challenges, Solutions, and Future Directions

Welcome to the webinar Next-Generation Visual Intelligence: Real-Time Deep Learning for Video and Image Processing — Challenges, Solutions, and Future Directions. It is a great honor to welcome all participants, distinguished speakers, researchers, and industry professionals to this timely and highly relevant discussion.

Visual intelligence has rapidly emerged as a cornerstone of modern artificial intelligence, enabling machines to interpret, analyze, and respond to complex visual data with increasing accuracy and speed. As deep learning techniques continue to evolve, their application in real-time video and image processing is unlocking transformative possibilities across domains such as autonomous systems, healthcare, surveillance, robotics, and smart infrastructure.

This webinar is designed to provide a comprehensive exploration of the field, spanning foundational concepts, recent breakthroughs, practical implementation challenges, and emerging research directions. In particular, we will examine issues such as computational efficiency, latency constraints, scalability, and robustness in real-world environments, along with innovative solutions that are shaping the next generation of visual AI systems.

We are privileged to host leading experts who will share their insights, experiences, and perspectives on both current advancements and future trajectories of this dynamic field. Their contributions will help bridge the gap between research and application, fostering deeper understanding and collaboration.

I encourage all attendees to actively engage, participate in discussions, and take full advantage of this opportunity to exchange ideas and expand your knowledge. We look forward to an inspiring and insightful session ahead.

Date: July 6th, 2026
Time: 3:00pm EDT | 9:00pm CEST
Zoom ID:
831 4435 3262
Webinar Secretariat: journal.webinar@mdpi.com



Meet the Event Chair

Dr. Abdussalam Elhanashi
Dr. Abdussalam Elhanashi
Department of Information Engineering, University of Pisa, Pisa, Italy

Meet Our Speakers

View all speakers
Dr. Siham Essahraui

Dr. Siham Essahraui

Multidisciplinary Faculty of Nador, Mohammed Premier University, Oujda, Morocco;
Prof. Siham Essahraui recently received her Ph.D. in Computer Science and Artificial Intelligence from the Multidisciplinary Faculty of Nador, Mohammed Premier University, Oujda, Morocco. Her research focuses on the application of artificial intelligence and machine learning for human behavior analysis, with particular emphasis on educational systems and road safety. She is particularly interested in developing robust, interpretable, and real-time AI solutions that enhance safety, reliability, and decision-making in both academic and transportation contexts.

Dr. Abdussalam Elhanashi

Dr. Abdussalam Elhanashi

Department of Information Engineering, University of Pisa, Pisa, Italy;

Sponsors and Partners

Organizer


MDPIElectronics
Relevant Special Issue

Deep Learning in Video and Image Processing: Challenges, Solutions, and Future Directions

Edited by:

Dr. Abdussalam Elhanashi

Prof. Dr. Sergio Saponara

Deadline for manuscript submissions: Closed (31 December 2025)


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