Workshops & Symposiums

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Symposium on: Next-Generation Intelligent Systems and Automation (NGen-ISA)

Symposium Chair(s)

DR. SADDAF RUBAB, Department of Computer Science, University of Sharjah, UAE

DR. IBRAHIM ABAKAR HASHIM, Department of Computer Science, University of Sharjah, UAE

Symposium Overview

The Symposium on Next-Generation Intelligent Systems and Automation (NGen-ISA) serves as a premier platform to explore the transformative potential of intelligent systems and automation in shaping the future. As we enter an era defined by rapid advancements in artificial intelligence (AI), robotics, and autonomous systems, the need for cutting-edge research and innovative solutions has never been more critical.
This year's theme focuses on developing and integrating next-generation intelligent technologies to drive automation across diverse sectors, including manufacturing, healthcare, transportation, smart cities, cybersecurity, Blockchain, and more. Topics such as deep learning, edge AI, human-machine collaboration, cognitive computing, and robotics will be at the forefront of discussions. Attendees will also explore the ethical considerations and societal impacts of intelligent automation, ensuring that technological progress aligns with global needs and sustainability goals.

The symposium aims to foster interdisciplinary collaboration among researchers, industry experts, and policymakers, promoting the exchange of ideas and solutions that will define the future of intelligent systems. By bringing together thought leaders and innovators, NGISAC aspires to catalyze breakthroughs that will revolutionize industries, enhance human productivity, and create smarter, more resilient societies. Join us to shape the intelligent, automated future!

Topics of interest include but are not limited to:

· Artificial Intelligence Autonomous Systems

· Big Data and Data mining

· Cyber-Physical Systems

· Enterprise Technologies

· Digital Twins

· Computer-Integrated Intelligent Systems

· Human-Machine Collaborations

· Information and Network

· Security for Intelligent system

· Secure Intelligent Systems

· Unmanned Aerial vehicles automation systems

· Information Technology and Systems

· Intelligent Systems and Automation

· Internet of Things Machine Learning

· Machine Vision and Image Processing

· Virtual and Augmented Reality Wireless Sensor Networks

Target Audience

The target audience for the symposium includes researchers and academics in AI, robotics, and related fields; industry leaders and experts from key sectors like healthcare, energy, and transportation; policymakers and government representatives driving innovation; technology innovators, entrepreneurs, and startups; investors and venture capitalists seeking opportunities in intelligent systems; professionals and practitioners in IT and digital transformation; international organizations and thought leaders; students and young innovators passionate about future technologies; media and communication experts covering tech trends; and community organizations focused on ethical AI and social impact. This diverse audience ensures a dynamic platform for collaboration, knowledge exchange, and innovation, supporting the UAE’s vision to lead in intelligent systems and smart technologies.

Biography – Dr. Saddaf Rubab

Dr. Saddaf Rubab is serving as Assistant Professor at the Department of Computer Engineering, College of Computing and Informatics, University of Sharjah, UAE. She completed her doctoral studies at Universiti Teknologi PETRONAS, Malaysia in 2018. She received her MSc in Computer Software Computer Engineering from NUST College of Electrical & Mechanical Engineering (CEME), in 2012 and worked on different academic positions from 2009 to 2013. She has worked on forecasts and implementing AI techniques in various interdisciplinary areas. Dr. Rubab is also working closely with local/international industries to bridge the gap between academia and industry which helped her secure multiple industrial projects. Her research interests include application of AI in forecasting/predictive systems, Deep Learning in Biomedical and Distributed Computing for migration and privacy issues. Dr. Rubab has received research grants as PI and Co-I for ICT-related projects from various local and international research funding authorities and has been working on scientific projects at undergraduate and graduate levels.

Biography – Dr. Ibrahim Abaker Hashem

Dr. Ibrahim Abaker Hashem has received his Master degree in Computer Science from the University of Wales, Newport and Doctor of Philosophy (Ph.D.) degree in Computer Science from University of Malaya. Dr. Hashem obtained professional certificates from CISCO (CCNP, CCNA, and CCNA Security) and APMG Group (PRINCE2 Foundation, ITIL v3 Foundation, and OBASHI Foundation). He is presently working as a Assistant Professor at the Department of Computer Science, University of Sharjah, UAE. He has published a number of research articles in refereed international journals and magazines. His numerous research articles are very famous and among the most downloaded in top journals. His area of interest includes Big Data, Cloud Computing, Distributed Computing, and Machine Learning. He is an active member of Mobile Cloud Computing center, Malaysia. In addition, he serves as guest editor for the journal of optimization, Hindawi. Furthermore, Dr. Hashem made outstanding efforts and contributions to the technical programme committee member of various reputed international conferences. He has served as a reviewer for various international journals including the IEEE Access.

Submission Note: Authors wishing to submit their papers to this Symposium are kindly requested to indicate the Symposium title in the "Comments to the Editor" section during the submission process.

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Workshop on: AI-Driven Modeling for Intelligent and Sustainable Systems

Workshop Description:

This workshop explores recent developments at the intersection of artificial intelligence (AI) modeling, with a focus on building intelligent and sustainable systems. As AI technologies become increasingly embedded in critical sectors such as transportation, energy, finance, and digital health, there is a growing need for models that are not only data-driven but also explainable, fault-tolerant, and scalable.

The workshop aims to provide a platform for researchers, academics, and professionals to present innovative approaches that combine AI algorithms with modeling techniques to design robust and adaptive intelligent systems. Discussions will include the use of optimization, control theory, stochastic processes, machine learning, and hybrid methods in real-world applications.

This workshop supports the core themes of ICDSIS2025, including intelligent systems applications, sustainable development, and secure, resilient infrastructures.