IMSA is honored to have valuable guests who shall be keynote speakers and will share their significant expertise via the conference.
Dr. Mahmoud Elsisi
Mahmoud Elsisi, Ph.D., IEEE Senior Member, is an Associate Professor
in the Department of Electrical Engineering at the National Kaohsiung
University of Science and Technology (NKUST), Taiwan. He previously
served as an Assistant Professor at the Industry 4.0 Implementation
Center, National Taiwan University of Science and Technology
(NTUST), and Benha University in Egypt. Dr. Elsisi received his B.Sc.,
M.Sc., and Ph.D. degrees in Electrical Engineering from Shoubra, Benha
University, Egypt, in 2011, 2014, and 2017, respectively. His research focuses on reliable Internet of Things (IoT),
predictive control, and machine learning to develop intelligent and resilient systems. His work integrates model predictive
control, deep learning, fault diagnosis, and neural networks to optimize the performance,
reliability, and security of IoT-based infrastructures, particularly in smart grids, renewable
energy, autonomous vehicles, and cyber-physical systems.
Dr. Elsisi has secured over 15 million NTD in research grants, with over 60 publications in
leading journals and an H-index of 40. He has made significant contributions to AI-driven energy
systems, IoT-based environmental monitoring, and predictive maintenance. Dr. Elsisi actively
mentors M.Sc. and Ph.D. students and has extensive experience bridging academia with industry
applications.
Google Scholar: https://scholar.google.com/citations?user=-HQp4U4AAAAJ&hl=en
Title: Reliable Internet of Things for Intelligent Systems: Integrating Predictive Control and Machine Learning
Time: Saturday 12 July 2025 from 10:00 -10:30 am
Seminar AI advancements shaping industry practice by RESO
Eng.Ahmed Tarek
Bio:
“Ahmed Tarek is the Senior Director of Data Analytics & AI at Reso, where he leads a cross-functional team of AI engineers, data scientists, and BI analysts to build enterprise-scale analytics and generative-AI solutions. Over a 15-year career, he has held data-leadership roles and delivered key projects across banking (Commercial International Bank – CIB), telecommunications (Vodafone), and fast-moving consumer goods (PepsiCo), driving measurable business outcomes and informed decision-making
Topic’s Abstract/Summary:
“This workshop offers a clear, up-to-date overview of the AI advancements shaping industry practice, with a focus on turning technical progress into real-world value. We begin by demystifying generative AI, unpacking Retrieval-Augmented Generation (RAG) pipelines and agentic workflows that ground large language models (LLMs) in enterprise knowledge. Next, we explore the current LLM landscape (OpenAI, Anthropic, Google and emerging open-source contenders) highlighting key differences in capability and performance. Building on this foundation, we examine purpose-built AI agents that already automate knowledge-intensive tasks, showcasing end-to-end use cases from the research industry as blueprints for other sectors. We conclude with a forward-looking scan of upcoming trends – sharper models, falling inference costs, and deeper integration of AI agents into everyday workflows – before an interactive Q&A helps participants map these innovations to their own contexts. Attendees will leave with a strategic framework for harnessing next-wave AI capabilities and a concrete set of ideas to ignite innovation in their organizations.”
Q&A Panel: Eng.Medhat Kandil, Eng.Mahmoud Hesham, and Eng.Mahmoud Daker
Time: Saturday 12 July 2025 from 10:30 -11:00 am
Dr.Ahmed Ragab
Ahmed Ragab is a Senior Scientist in Artificial Intelligence (AI) at Natural Resources Canada (NRCan). He is also an Adjunct Professor at the Department of Mathematics and Industrial Engineering, Polytechnique Montréal. He received a Ph.D. degree in Industrial Engineering from Polytechnique Montréal, the University of Montréal, Canada in 2014. Dr. Ragab’s research interests include AI, Machine Learning, Pattern Recognition, Image Processing, Data & Decisions Fusion, Causality Analysis, Reliability Modeling, Operations Research, Discrete Event Systems, and Process Mining. At NRCan, he has worked on strategic projects funded by the Government of Canada including Forest Value Chain Optimization (FVCO) and Carbon Capture, Utilization and Storage (CCUS). His main thematic activities focus on the practical challenges of Big Data and AI in several industrial applications including Abnormal Events Diagnosis & Prognosis, Predictive & Prescriptive Maintenance, Supervisory Control, Real-time Optimization, Production Scheduling, and Systems Design. Dr. Ragab has a bunch of experience in developing advanced AI algorithms and tools in the manufacturing industry, aiming at reducing energy consumption, Greenhouse gas (GHG) emissions, and operational and maintenance costs while improving operations’ performance. He also teaches industrial engineering courses at graduate levels and supervises MSc and PhD students.
Title: Generative AI and Reinforcement Learning for Industrial Cybersecurity
Time: Sunday 13 July 2025
Dr. Mohamed Abdelfattah
Since the graduation year 2000 with a Bachelor degree in Information Systems, Dr. Mohamed Abdelfattah has been in the IT Industry for more than 20+ years worked exclusively with many Technology providers in Egypt and abroad whose missions are to improve the technology quality of service through improved facilities, services, equipment and education.
To accomplish this, Dr. Mohamed was part of the steering and implementation group of many technology providers, facilities and solutions, His responsibilities heavily utilize Information communication technology for development in healthcare systems HIS, Information Systems / Technology, Networking, Information Security & cybersecurity, Strategic management and Business Analysis, He has acquired as a IT Architecture and – or security-focused consultant for the projects he worked on. In addition, Dr. Mohamed has been doing a freelancer Network, Solution Architecture.Dr. Mohamed is currently working as Regional Subject Matter Expert at Fortinet.
Cybersecurity Interactive Workshop by Fortinet
Time: Sunday 13 July 2025