CDMA 2025

About CDMA2025

CDMA2025 offers a unique opportunity and exchange platform to academic researchers and industry experts from a wide range of Data Science and Machine Learning areas including, but not restricted to, data analytics, computational intelligence, deep learning, pattern recognition, computer vision, multimedia/intelligent databases, big data, visualization, and related ethical issues.

Conference Themes

Transformative Impact of AI Across All Sectors: Natural language processing (NLP), Arabic NLP, language models, large language models (LLMs), text processing in LLMs, deployment of LLM models, and applications of AI in computer vision.

Autonomous Systems and Robotics: Applications of Data Science, Applications in Autonomous Vehicles and Robotics Systems, Social Network Analysis in Robotics, Mining Sequences for Robotics Control, Time Series Analysis in Autonomous Systems, Bioinformatics for Robotic Surgery, Systems Biology for Autonomous Medical Devices, Mining Temporal and Spatial Data for Robotics Navigation, and Multimedia Processing in Robotics and Autonomous Systems.

Revolutionizing Software Engineering for AI and Computational Intelligence: AI and DS for software engineering automation, leveraging AI and DS in requirements engineering, AI and DS based software architecture knowledge extraction, software faults detection improvement using AI and DS, AI and DS based models for software artifacts’ quality evaluation, AI and DS based computer-assisted coding, AI and DS assisted software debugging and testing, application of AI and DS to software documentation & summarization, and AI and DS in quality assessment and improvement.

Download the latest Call for Paper(CFP) to know more

Submission

Prospective authors are invited to submit full-length manuscript using the Submission Link. The maximum length of manuscript is 6 pages with IEEE template using double column format including headers, figures, tables and appendices. All submissions would undergo single blind review process prior to acceptance for possible publication in the conference proceedings. All papers will under go a plagiarism and similarity check using IEEE CrossCheck, any papers not meeting the minimum standard will be excluded from the proceedings.

The submissions should contain original results of research that are related to the theory, design, implementation, application, exploitation, maintenance or evaluation aspects of the conference main topics. Only the papers that have not been published or presented in any way will be accepted for CDMA2025.

Note: The conference submission system only accepts manuscripts in PDF A4 format (before the revision manuscripts do not have to be checked by IEEE PDFXpress).

Past CDMA Events

The CDMA Conferene is a bi-annual event. The first edition was held in 2010. More details about the past conference editions can be found at:
CDMA 2022 , CDMA 2020 , SDMA 2018 , SDMA 2016 , SDMA 2014 , SDMA 2012 , SDMA 2010

Event Starts In:

Previously

Conference videos and images from previous years is a great way to show people what to expect at the conference and entice them to join. You can host more media content on YouTube, Flickr or Instagram and link out to them in this section.

Speakers

Prof. Yaser S. Abu-Mostafa

Professor of Electrical Engineering and Computer Science

California Institute of Technology (CALTECH), USA

Prof. Abu-Mostafa is renowned for his work in machine learning and computational learning theory. He has authored the bestselling book "Learning from Data" and has delivered numerous lectures on the subject.

Prof. Martin Riedmiller

Research Director at Google DeepMind

London, UK

Prof. Riedmiller has over 30 years of experience in reinforcement learning, neural networks, and learning control systems. He has been a pioneer in developing efficient and robust learning algorithms.

Prof. Philipp Koehn

Professor at The Johns Hopkins University

Department of Computer Science

Prof. Koehn is recognized worldwide for his leading research in machine translation and machine learning. He has authored seminal textbooks on the subject and holds multiple patents in machine translation.

Prof. Alexandre DIAZ

HUMS Technical Support – ESETD

Airbus Helicopters

Prof. Alexandre DIAZ is a distinguished aviation professional with over 20 years of dedicated service in the aerospace sector. He currently serves as the Head of Airbus Helicopters HUMS Technical Support and a Senior Expert within Airbus Group.

Prof. Abdelhafid BOUTALEB

Data Scientist

HUMS Technical Support - ESETD

Airbus Helicopters

Prof. Abdelhafid BOUTALEB is a distinguished professional in the aerospace industry, serving as a HUMS Data Scientist and Data Science Expert for Airbus Group. He has over 14 years of experience in aircraft data analysis, enhancing safety and reducing maintenance burdens.

Panel Discussion

Three Panel Discussions and Students datathons will be held during CDMA2025.

Panel Discussions

Panel Discussion 1: Data to Decision: How Data Science Transforms Industries

This panel will explore how the journey from raw data to informed decision-making revolutionises business models, enhances customer experiences, and optimises operational efficiencies.

Panel Discussion 2: Data Science for Social Good: Tackling Global Challenges

In a world increasingly driven by data, harnessing the power of data science for social good has the potential to address some of the most pressing global challenges...

Panel Discussion 3: Harnessing AI and Machine Learning for Digital Transformation

This panel will explore how AI and ML technologies drive digital transformation strategies, reshape business models, and deliver value across sectors.

Workshops and Datathons

Tutorials will be held the day before the start of the conference. Student competitions (datathons) will be organized within the conference program.

Special Sessions and Workshops

Advanced AI in Cybersecurity
The session focuses on how AI can transform cybersecurity by providing dynamic, adaptive security mechanisms to counter increasingly sophisticated cyber threats.
Metaheuristics for Neural Network Optimization
This session explores metaheuristics optimization techniques to enhance the performance of neural networks in solving real-world complex problems.
Large Language Models for Data Analytics and Applications
Participants will explore advancements and applications of Large Language Models in areas like sentiment analysis, information retrieval, and natural language understanding.
The Drone Challenge and the Future Issues
This workshop focuses on the growing role of drones in disaster response, humanitarian aid, and the associated challenges and dangers of drone technology.
Multi-modal Learning
This session addresses how combining different data modalities such as text, images, and audio can drive innovation in AI-driven decision-making and perception systems.
AI-Empowered Advanced Control, Optimization, Stability, and Reliability of Power Systems Integrating Renewable Energy and Plug-In Electric Vehicles
This session focuses on how AI-based advanced control strategies, optimization, stability, and reliability can enhance power systems integrating renewable energy and plug-in electric vehicles (PEVs). It explores the critical role of AI in improving power system efficiency and resilience, addressing challenges in control, optimization, and stability of microgrids. Topics include AI-driven predictive maintenance, smart charging, IoT-enabled grids, and cybersecurity, offering insights into the evolving landscape of energy management.

Organization Committee

Steering Committee Chair: Dr. Mohammed A. Alshara, Prince Sultan University
General Chair: Dr. Layla Alfawzan, Prince Sultan University
Program Chairs : Dr. Suliman Mohamed Fati and Prof. Mohammed Akour, Prince Sultan University
Publication Chairs : Dr. Basit Qureshi and Dr. Mohamed Alzamil, Prince Sultan University
Panel Chairs: Prof. Tanzila Saba and Dr. Amerah Alghanem, Prince Sultan University
Keynotes, special sessions, and workshops Chair: Prof. Ahmad Taher Azar, Prince Sultan University
IEEE Liaison Committee Chair: Dr. Mohammad AlMuhini, King Fahd University of Petroleum and Minerals
Publicity Chairs: Dr. Esam Othman and Dr. Reem Alsehaibani, Prince Sultan University
Local Arrangements: Dr. Yasir Javid and Dr. Naveed Ahmed, Prince Sultan University
Sponsors and Treasurer Chairs : Dr. Abdulaziz Alhelali, Dr. Nada Hakami, and Dr. Fatimah Alzamzami, Prince Sultan University
Tutorials/Demos/Posters Chair: Dr. Wadii Boulila, Prince Sultan University
Travel and Visa arrangements: Abdullah Al Hashel, Prince Sultan University

Program Committee Members(TPC)

- Mohammad Al-Muhini, King Fahd University of Petroleum and Minerals, Saudi Arabia - IEEE Saudi Arabia Section
- Mohammed Felemban, King Fahd University of Petroleum and Minerals, Saudi Arabia - IEEE Computer Society Saudi Arabia Section
- Abdulaziz Tabbakh, King Fahd University of Petroleum and Minerals, Saudi Arabia - IEEE Computer Society Saudi Arabia Section
- Akram Ahmad, King Fahd University of Petroleum and Minerals, Saudi Arabia - IEEE Computer Society Saudi Arabia Section
- Mohammed Juaid, Saudi Aramco - IEEE Communication Society Chair Saudi Section/Chapter
- Gilbert Strang, Massachusetts Institute of Technology, USA
- Nizar Habbash, New York University Abu Dhabi, UAE
- Hafiz Malik, University of Michigan, Dearborn, USA
- Hassan Sawaf, aiXplain, San Francisco USA
- A Khan, University Malaysia Sarawak, Malaysia
- Tanzila Saba, Prince Sultan University, Saudi Arabia
- Uthman Baroudi, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Zahid Khan, Prince Sultan University, Saudi Arabia
- Nidal Nassar, Alfaisal University, Saudi Arabia
- Lahouari Ghouti, Prince Sultan University, Saudi Arabia
- Alaa Khamis, General Motors, USA
- Pingzhi Fan, Southwest Jiaotong University, China
- Mohamed Younis, University of Maryland Baltimore County, USA
- Anis Koubaa, Prince Sultan University, Saudi Arabia
- Ahmad Taher Azar, Prince Sultan University, Saudi Arabia
- Abdelkrim Doufene, Massachusetts Institute of Technology, USA
- Abdellah Bakhouyi, National Higher School of Art and Design of Casablanca (ENSAD), Morroco
- Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
- Ameur BenSefia, Higher College of Technology, UAE
- Chris Hinde, Loughborough University, UK
- Christos Tryfonopoulos, University of Peloponnese, Greece
- Dan Tran, University of Canberra, Australia
- El-Sayed El-Alfy, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia
- Friedhelm Schwenker, University of Ulm, Germany
- George Tambouratzis, Institute For Language and Speech Processing, Greece
- Hong Zhu, Oxford Brookes University, UK
- Houbing Song, Embry-Riddle Aeronautical University, Saudi Arabia
- Husni Al-Muhtaseb, King Fahd University of Petroleum & Minerals, Saudi Arabia
- Ilia Petrov, Reutlingen University, Germany
- Iman Al Momani, Prince Sultan University, Saudi Arabia
- Izzat AlSmadi, University of Texas A&M San Antonio, USA
- Jianwei Niu, Beihang University, China
- José Alfredo Costa, Universidade Federal do Rio Grande do Norte, Brazil
- José Ríos Viqueira, Universidade de Santiago de Compostela, Spain
- Leandro Wives, Universidade Federal do Rio Grande do Sul, Brazil
- Lei Chen, HKUST, Hong Kong, China
- Liang Xiao, Xiamen University, China
- Mario Luca Bernardi, Research Centre on Software Tech. (RCOST), University of Sannio, Italy
- Maurice van Keulen, University of Twente, Netherlands
- Mu-Chun Su, National Central University, Taiwan
- Muazzam Siddiqi, King Abdulaziz University, Saudi Arabia
- Muhammad Khan, Al-Imam Muhammad ibn Saud Islamic University, Saudi Arabia
- Muna Al-Razgan, King Saud University, Saudi Arabia
- Najla Alfaraj, College of Technological Studies, Saudi Arabia
- Nirvana Popescu, University Politehnica of Bucharest, Romania
- Noureddine Abbadeni, King Saud University, USA
- Panos Kalnis, KAUST, USA
- Peter Revesz, University of Nebraska-Lincoln, USA
- Qiben Yan, University of Nebraska-Lincoln, USA
- Raed Seetan, Slippery Rock University, USA
- Rashid Mahmoud, King AbdulAziz University, Saudi Arabia
- Robert Wrembel, Poznan University of Technology, Poland
- Ryszard Tadeusiewicz, AGH University of Science and Technology, Poland
- Sabri Mahmoud, King Fahd University of Petroleum & Minerals, Saudi Arabia
- Sameera Almulla, Khalifa University of Science, Technology & Research (KUSTAR), UAE
- Sebastian Ventura, University of Cordoba, Spain
  Shadi Banitaan, University of Detroit Mercy, USA
- Shui Yu, Deakin University, USA
- Tamer Nadeem, Virginia Commonwealth University, USA
- Wenjia Li, New York Institute of Technology, USA
- William Glisson, University of South Alabama, USA
- Yacine Rebahi, Fraunhofer Institut Fokus Berlin, Germany
- Yanjing Sun, China University of Mining and Technology, China
- Yasir Javed, Prince Sultan University, Saudi Arabia
- Zbigniew Suraj, University of Rzeszow, Poland