Kindly note that all conference participants will have complimentary free access to all workshops.

The ADACIS'23 conference features the following workshops:


CEO & Cofounder Moroccan Blockchain Laboratory, Morocco

Smart Contract

This workshop promises to be a unique opportunity to explore the potential of Smart Contracts and their transformative impact on various sectors. Whether you're a seasoned professional or just beginning your journey into the world of blockchain technology, this session will offer valuable insights and foster engaging discussions.


Youssef is a security researcher specializing in finding vulnerabilities in web, cloud, blockchain and smart contract applications , He has more than 5 years of experience in the field of information security which varies from web application security , incident management , cloud security , blockchain and smart contract security and network security with a good knowledge of web applications and decentralized application development . I have received many recommendations from an ex-Pentagon cybersecurity engineer, an IT security trainer in Australia and my system administrator supervisor in the USA , an smart contract security researcher in Check Point and a business countinuity expert and author "LinkedIn".

Mr. Ashwin Viswanathan Kannan

Research Scientist, Amazon, USA

Cognitive Pattern Recognition using Spiking Nets

In this talk, we will examine cognitive approaches to understanding pattern recognition problems. We will specifically explore the third-generation neural networks (i.e., Spiking Nets) and their architectural similarity to the human brain in understanding patterns to solve computation problems in recognition and prediction. Using practical examples, the talk will illustrate cognitive functions like memory formation and how artificial neural networks adapt to varied patterns found in real-world datasets.


Ashwin is a research scientist at Amazon working on understanding causal effects that influence long-term customer purchase behavior. He specializes in building causal and forecasting models leveraging high-dimensional datasets. Prior to joining Amazon, Ashwin did his PhD in computer science at Oklahoma State University under Dr. Johnson Thomas. His primary research interests are in the fields of machine learning and bio-inspired decision-making models using spiking neural networks (SNN).

Mr. Abhimanyu Mukerji

Palo Alto, California, United States

Machine Learning in Causal Inference

This talk will provide an overview of the problem of causal inference and current approaches to address it. We will discuss the applications of machine learning and deep learning to this problem space, with examples from the technology sector. We will review the challenges involved in validating solutions and some tests that can be performed to build confidence in causal results. We will also touch upon model implementation at scale.


Abhimanyu is an Economist at Amazon working on dynamic causal models and causal machine learning. His prior research has used methods from machine learning, deep learning and natural language processing combined with econometric approaches to study problems in applied microeconomics and empirical corporate finance. He holds a PhD in financial economics from Stanford University.

Mr. Soufiane Hourri

ESTS, Cadi Ayyad University, Morocco

Generative AI

Explore the fascinating world of Generative AI in our workshop. Join us to learn about the cutting-edge technology behind AI that can create text, images, and more. Discover the principles, applications, and potential of generative models. Whether you're a beginner or an AI enthusiast, this workshop will spark your creativity and inspire your understanding of the AI revolution.


As a Computer Scientist and Data Scientist with a Ph.D. in Computer Science, I bring a wealth of experience to the table with a background spanning roles as a Lecturer, Researcher, Scientific Consultant, Network Administrator, and Freelancer. My expertise centres on cutting-edge AI technologies, including machine learning, natural language processing, computer vision, and deep learning, where I have consistently delivered innovative algorithms, models, and systems. I have a track record of not only providing valuable insights but also enhancing business operations and elevating customer experiences. My adaptability to emerging technologies and programming languages ensures that I remain at the forefront of AI advancements, enabling me to craft tailored solutions for diverse AI projects, from complex data analysis pipelines to predictive models and intelligent chatbots.