Gheith Abandah
Bio:
Gheith Abandah holds PhD and MSE degrees in Computer Science and Engineering from the University of Michigan (1998 and 1995) and BSc degree in Electrical Engineering from the University of Jordan (1985). He is a professor of Computer Engineering in the University of Jordan and was the first president of Aqaba University of Technology. He is the general coordinator of Developing Curricula for Artificial Intelligence and Robotics (DeCAIR), which is a 3-year project funded by Erasmus+ Capacity Building in the field of Higher Education program. He has a 25-year academic experience in teaching computer science and engineering topics and in conducting research related to artificial intelligence, Arabic language processing, machine learning, electronic voting, and parallel processing. He has 66 publications, more than 1100 citations, and h-index of 19. He has more than 15 years of industrial experience in localization, military electronics, and product and project development and deployment. Has held leading positions in the private sector including design engineer, project manager, development manager, VP development, and general manager where he successfully managed multiple technical teams to fulfill aggressive deadlines in the Middle East region. He is active volunteer and IEEE senior member, participated in establishing IEEE – Jordan Section, elected the IEEE – Jordan Section chair for three terms, chair of IEEE Region 8 Committee for Diversity, Equity, and Inclusion, and established the AEECT and JEEIT international conference series and many innovative activities.
Abstracts:
Megatrends in Artificial Intelligence and Robotics for the Next Decade
Abstract:
This speech is a glimpse into the future, where Artificial Intelligence and Robotics will revolutionize our world in the next decade. From the omnipresence of intelligence in our environment to AI achieving human-like cognition, we’ll explore the profound megatrends transforming our lives. Brace for a future where AI-human collaboration soars across professions, ‘JARVIS-like’ software enriches our daily experiences, humanoid robots and avatars emerge, and autonomous and flying cars redefine travel. Additionally, we’ll discuss the birth of the “Instant Economy of Things,” where on-demand delivery and production change the way we live and work. Join us on this journey into a fascinating and transformative decade ahead.
Unlocking the Power of Large Language Models: Exploring Architectures, Evolving Trends, and Revolutionary Applications
Abstract:
In recent years, Large Language Models (LLMs) have emerged as a transformative force in the field of artificial intelligence, reshaping the landscape of natural language understanding and generation. This keynote speech, to be delivered at the ICICS 2023 Conference, delves into the fascinating world of LLMs, their architectures, the dynamic trends shaping their development, and their groundbreaking applications across various domains.
The keynote will commence with an exploration of the foundational architectures that underpin the success of LLMs. It will provide a comprehensive overview of the evolution of LLM architectures, from the early transformers to the most cutting-edge variants, unraveling the technical intricacies that enable these models to process and generate human-like text at an unprecedented scale.
Continuing the journey, we will delve into the ever-evolving trends in the LLM landscape. Attendees will gain insight into the latest developments in pre-training and fine-tuning techniques. Moreover, we will discuss the environmental concerns and sustainability initiatives surrounding the deployment of these data-intensive models, highlighting the industry’s commitment to responsible AI development.
One of the most exciting aspects of this keynote will be the exploration of the revolutionary applications of LLMs. From content generation and summarization to natural language understanding and question-answering, LLMs have found their way into various sectors, including healthcare, finance, education, and beyond. Real-world case studies will illustrate how LLMs are transforming industries and solving complex challenges.
Furthermore, the keynote will touch upon the global collaboration and open-source initiatives that have paved the way for democratizing access to LLMs, fostering innovation, and fostering inclusivity in AI research and development.
In conclusion, this keynote speech will offer attendees a panoramic view of the LLM landscape, providing a deep understanding of their architectures, insights into emerging trends, and inspiring examples of their diverse and transformative applications. As we embark on this enlightening journey through the world of Large Language Models, we invite the global technical community to envision the limitless possibilities and ethical responsibilities that come with harnessing the power of these remarkable AI innovations.
AI in Engineering Applications
Abstract :
This talk delves into the dynamic and transformative role of Artificial Intelligence (AI) in engineering. Exploring real-world applications, we will uncover how AI is revolutionizing design, optimization, maintenance, and decision-making processes within engineering disciplines. Join us to understand how AI is reshaping the future of engineering, enhancing efficiency, innovation, and sustainability across a spectrum of industries.
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