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

Part of the Electronics Webinar series
6 July 2026, 03:00 PM (EDT)

Registration Deadline
6 July 2026

Deep Learning, Video Processing, Image Processing
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Welcome from the Chair

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

Event Chair

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

Introduction
Bio
Prof Abdussalam Elhanashi is an accomplished AI researcher specializing in deep learning, computer vision, and medical image analysis. His work focuses on developing and deploying advanced AI systems for healthcare, surveillance, and real-world applications, including medical imaging, object detection, real-time video analytics, and intelligent surveillance solutions. He also works on lightweight neural networks and edge AI for resource-constrained and embedded systems. He has authored over 60 peer-reviewed publications with 2,000+ citations (H-index: 24) and is recognized among the Stanford–Elsevier Top Scientists (2025). His contributions include applied AI systems, software prototypes, and real-world deployment frameworks. He has published books with Elsevier and Springer on artificial intelligence and deep learning.

Keynote Speakers

Multidisciplinary Faculty of Nador, Mohammed Premier University, Oujda, Morocco

Introduction
Bio
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.

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

Registration

This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.

Certificates of attendance will be delivered to those who attend the live webinar.

Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.

Program

Speaker/Presentation

Time in CEST

Abdussalam Elhanashi (Chair)

Chair Introduction

2:00 - 2:10 pm

Dr Siham Essahraui (Speaker 1)

Real-Time Driver Behavior Monitoring Systems: From Machine Learning to TinyML Deploymen

2:10 - 2:30 pm

Dr Abdussalam Elhanashi (Speaker 2)

From Research to Practice: Real-Time Deep Learning for Video and Image Processing

2:30 - 2:50 pm

Q&A

2:50 - 3:15 pm

Closing of Webinar

Abdussalam (Chair)

3:20 - 3:25 pm

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)

Sponsors and Partners

Organizers

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