Welcome to the Intelligent Computing Lab, where we are dedicated to advancing the applications of Artificial Intelligence across various fields,
including the Internet of Things. Our mission is to develop innovative solutions that address real-world challenges, fostering a collaborative
environment for researchers, students, and industry partners. Explore our projects, publications, and events to discover how we are shaping the
future of technology.
About Us
The Intelligent Computing Lab, led by Dr. Zahraa Marafie, focuses on integrating Artificial Intelligence (AI) and the Internet of Things (IoT)
to develop innovative solutions addressing real-world challenges. Our mission is to advance research and create applications that enhance
daily life through intelligent systems.
Completed Project
AutoCoach: Developed as part of Dr. Marafie's Ph.D. research under the supervision of Prof. Kwei-Jay Lin,
AutoCoach is an intelligent driver behavior feedback system that utilizes AI and IoT technologies to analyze and personalize
driver feedback, aiming to improve road safety through tailored alerts and analytics.
Ongoing Projects
HeatWatch: A real-time heat exhaustion detection system designed to monitor environmental conditions and provide timely
alerts to prevent heat-related illnesses.
CarPark: A smart parking assistant application that leverages IoT sensors and AI algorithms to optimize parking space
utilization and assist drivers in finding available spots efficiently.
Business Data Analysis for Real Estate Optimization: A project focused on analyzing business data to enhance operations
within the real estate sector, utilizing AI-driven insights for better decision-making.
Our lab is committed to pushing the boundaries of AI and IoT applications, striving to develop systems that positively impact society.
Theory and Frameworks
The Intelligent Computing Lab is at the forefront of developing innovative theoretical models and frameworks to advance Artificial Intelligence
and the Internet of Things. Our work bridges foundational research and practical applications to address critical challenges in connected systems
and intelligent computing.
Key Focus Areas
Personality-Based Service Models: Designing intelligent IoT agents that adapt to individual user preferences and behaviors to enhance personalization.
Edge and Fog Computing Frameworks: Developing efficient AI architectures for distributed computing environments, optimizing data processing at the network edge.
Real-Time Data Processing: Building systems that enable seamless real-time analytics for time-critical applications such as healthcare and transportation.
Scalable IoT Architectures: Creating robust and scalable frameworks to support the rapid growth of IoT devices and data streams.
Recent Advances
Our lab has contributed to several breakthroughs in the integration of AI and IoT, including:
AutoCoach Framework: A system leveraging AI to provide real-time driver feedback, improving road safety through personalized analytics.
HeatWatch Algorithms: Innovative data modeling techniques for detecting and mitigating heat exhaustion using wearable sensors.
IoT Data Fusion: Advanced algorithms for combining multi-sensor data streams to provide accurate and actionable insights.
Future Directions
We aim to push the boundaries of AI and IoT by exploring:
Integrating cognitive computing with IoT for smarter decision-making.
Developing privacy-preserving frameworks to ensure secure data handling in connected systems.
Advancing human-centric AI models for adaptive and inclusive IoT environments.
Through these frameworks, the Intelligent Computing Lab is laying the groundwork for intelligent, efficient, and scalable systems that address the demands of a connected world.
Educational Resources
At the Intelligent Computing Lab, we are committed to sharing knowledge and empowering students, researchers, and industry professionals. Explore our curated collection of educational resources designed to enhance learning and foster innovation in Artificial Intelligence and the Internet of Things.
Available Resources
Tutorials:
Step-by-step guides on topics ranging from AI model development to IoT device integration.
Lecture Notes:
Comprehensive lecture materials from our academic courses, including Introduction to Programming and Operating Systems.
Datasets:
Access real-world datasets for machine learning experiments, IoT simulations, and analytics projects.
Software Tools:
Explore open-source and proprietary tools for AI and IoT development, including our lab's custom-built applications.
How to Access
All resources are available for free to members of the Intelligent Computing Lab. External collaborators and students can request access by contacting us or applying to join the lab.
Featured Resource: HeatWatch Simulation Kit
Learn how to simulate real-time heat exhaustion detection using our HeatWatch Kit. This resource includes datasets, simulation code, and tutorials for researchers and developers.
For inquiries or resource contributions, please contact us.
Publications
Explore the Intelligent Computing Lab's contributions to the fields of Artificial Intelligence and the Internet of Things. Our research is published in reputable journals and conferences,
reflecting our commitment to advancing technology and knowledge.
Developing an Instrument for Assessing Self-Efficacy Confidence in Data Science
S. Malallah, E.U. Osiobe, Z. Marafie, P. Henriquez-Coronel, L. Shamir, E.L. Carlson, J.L. Weese,
2024 ASEE Annual Conference & Exposition Read More
Building Intelligent IoT Agents Using Personality-Based Service Models
Z. Marafie University of California, Irvine Read More
AutoCoach: An Intelligent Driver Behavior Feedback Agent with Personality-Based Driver Models
Z. Marafie, K.J. Lin, D. Wang, H. Lyu, Y. Liu, Y. Meng, J. Ma,
Electronics, 10(11), 1361 Read More
AutoCoach: Driving Behavior Management Using Intelligent IoT Services
Z. Marafie, K.J. Lin, D. Wang, H. Lyu, Y. Meng, T. Ito,
2019 IEEE 12th Conference on Service-Oriented Computing and Applications Read More
Proactive Fintech: Using Intelligent IoT to Deliver Positive InsurTech Feedback
Z. Marafie, K.J. Lin, Y. Zhai, J. Li,
2018 IEEE 20th Conference on Business Informatics (CBI), 2, 72-81 Read More
Energy Optimization for Two-Dimensional NoCs Using Genetic Algorithms
Z. Marafie,
University of California, Irvine Read More
Press
Discover the latest media coverage and notable achievements of Dr. Zahraa Marafie, showcasing her contributions to Artificial Intelligence and the Internet of Things.
Participation in AI and Law Conference
Dr. Marafie presented a session on data security in AI at the "Artificial Intelligence Between Law and Technology" conference organized by the Kuwait Lawyers Association from October 7 to 8, 2024. Read More
Feature in Al-Jarida Newspaper
Al-Jarida newspaper reported on Dr. Marafie's participation in the aforementioned conference, emphasizing her discussion on the challenges institutions face with AI adoption. Read More
Coverage by Al-Awael News Magazine
Al-Awael News Magazine highlighted Dr. Marafie's session on data security in AI during the "Artificial Intelligence Between Law and Technology" conference. Read More
University of California, Irvine Publications
Dr. Marafie's research, including "Building Intelligent IoT Agents Using Personality-Based Service Models," is available on UCI's eScholarship platform. Read More
Participation in "Tebi Hayatak Takun Ahla" Seminar
Dr. Marafie contributed to discussions on the impact of technology on daily life during this seminar at the Department of Information Science. Read More
Hosting Professor Kwei-Jay Lin at Kuwait University
Dr. Marafie organized a visit for AI expert Professor Kwei-Jay Lin, fostering discussions on advancements in AI and computing. Read More
Participation in "Managing Emotions in the Age of Technology" Seminar
Dr. Marafie addressed the positive and negative effects of technology and social media during this seminar organized by the CLICKIT Club. Read More
Feature in Al-Anba Newspaper
Al-Anba newspaper highlighted Dr. Marafie's insights on the role of technology and social media in shaping modern life. Read More
Participation in "Future of Digital Justice" Conference
Dr. Marafie contributed to discussions on law and technology during the "Future of Digital Justice" conference. Read More
Feature in Al-Qabas Newspaper
Dr. Marafie's insights on the challenges and opportunities of AI and IoT integration were featured in Al-Qabas newspaper. Read More
Upcoming Events
Dr. Zahraa Marafie will be participating in the following events:
Workshop: "The Science Behind Netflix" Date: November 25, 2024 Location: College of Science, Department of Computer Science, Kuwait University Details: In collaboration with Dr. Shaikhah Alkhadr, Dr. Marafie will conduct a workshop exploring the algorithms and data science principles that power Netflix's recommendation system.
Panel Speaker: 3rd Digital Transformation Conference in Kuwait Date: December 2-3, 2024 Location: Jumeirah Messilah Beach Hotel & Spa, Kuwait City Topic: "Data-Driven Experiences: Embracing the Phygital Future of Shopping in Kuwait" Details: Dr. Marafie will discuss the integration of digital and physical retail experiences in Kuwait, focusing on data-driven strategies to enhance customer engagement.
Training Workshops
Explore our range of workshops designed to enhance your skills in programming, web development, and data science.
Java Programming Essentials
Arduino for IoT Applications
Android App Development Bootcamp
Full-Stack Web Development with Python and JavaScript
Institute: Department of Information Science, Kuwait University, Kuwait
Research Interests: Deep Learning and Physics-informed Neural Networks, Therapeutic and Imaging Information Systems,
Modeling and Simulation, Information Security and Privacy.
