8th International Conference on Data Science and Machine Learning
Registerion is now open!CDMA 2025 16-17 February 2025 Riyadh, KSA
View Conference ProgramEvent Will Start In
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.
CDMA2025 Program
Join us on February 16-17, 2025, for keynotes, panel discussions, and technical sessions on AI and data science.
đź“Ą Download the conference program for details.
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.
Prospective authors are invited to submit full-length manuscripts using the Submission Link. The maximum length of the manuscript is 6 pages with an IEEE template using a double-column format, including headers, figures, tables, and appendices. All submissions would undergo a single-blind review process prior to acceptance for possible publication in the conference proceedings. All papers will undergo 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).
Consectetur adipisicing elit. Quod distinctio impedit sint accusantium ducimus lites consequuntur innobisl dolores saepe.Proin sit amet turpis lobortis.
Who's Speaking?

Eng. Yehia Khoja
General Director of AI & Business Development -MINISTRY OF ENERGY

Dr. Najla Altuwijri
General Manager of the Public & Education Sector -Saudi Data & AI Authority (SDAIA)

Mr. Abdullah Aba Hussien
Director of the Future Factories Program -Ministry of Industry & Mineral Resources

Prof. Yaser S. Abu-Mostafa
California Institute of Technology

Dr. Ahmed Alsinan
Research, Healthcare, and Education SA Lead -Amazon Web Services (AWS)

MS.Zahra Al-kaf
Cloud Customer Engineer -Google

MR.Nizar Alhumaidi
Lead Technical Architect Specialist -MachinesTalk
Panel Discussion
Three Panel Discussions will be held during CDMA2025.
Panel Discussion 1:
Data to Decision: How Data Science Transforms Industries
Register Now Submit Paper
Panel Discussion 2:
Data Science for Social Good: Tackling Global Challenges
Register Now Submit Paper
Panel Discussion 3:
Harnessing AI and Machine Learning for Digital Transformation
Register Now Submit Paper
Organization Committee
Program Committee(TPC)
- Abbas Malik, Prince Sultan University, Saudi Arabia
- Abdulaziz Tabbakh,King Fahd University of Petroleum & Minerals, Saudi Arabia
- Abed Al Raoof Bsoul, Prince Sultan University, Saudi Arabia
- Abeer Mirdad, Prince Sultan University, Saudi Arabia
- Abrar Wafa, Prince Sultan University, Saudi Arabia
- MAdel Ammar, Prince Sultan University, Saudi Arabia
- Ahmed Almasoud, Prince Sultan University, Saudi Arabia
- Ahmed Redha Mahlous, Prince Sultan University, Saudi Arabia
- Akshit Samadhiya,N.I.T Jamshedpur
- Alaa Al-Shamasneh, Prince Sultan University, Saudi Arabia
- Alex Elyassih, Prince Sultan University, Saudi Arabia
- Amirah Alghanim, Prince Sultan University, Saudi Arabia
- Amjad Rehman, Prince Sultan University, Saudi Arabia
- Aws Magableh, Prince Sultan University, Saudi Arabia
- Ayaz Ul Hassan Khan,Habib University
- Basit Qureshi, Prince Sultan University, Saudi Arabia
- Bayan Alghofaily, Prince Sultan University, Saudi Arabia
- Bilel Benjdira, Prince Sultan University, Saudi Arabia
- Enass Elsaid,Ain Shams University, Eygpt
- Esam Othman, Prince Sultan University, Saudi Arabia
- Fakhry Khellah, Prince Sultan University, Saudi Arabia
- Gauhar Ali, Prince Sultan University, Saudi Arabia
- Helene Kanso, Prince Sultan University, Saudi Arabia
- Heyfa Ammar, Prince Sultan University, Saudi Arabia
- Imen Jarraya, Prince Sultan University, Saudi Arabia
- Lamia Berriche, Prince Sultan University, Saudi Arabia
- Maram Alajlan, Prince Sultan University, Saudi Arabia
- Michael Inshal,Coventry University, Coventry UK
- Mohamad Ladan, Prince Sultan University, Saudi Arabia
- Mohamed Hammad, Prince Sultan University, Saudi Arabia
- Mohammed Al Zamil, Prince Sultan University, Saudi Arabia
- Mridula Dileepraj Kidiyur,IEEE
- Mudasir Ahmad Wani, Prince Sultan University, Saudi Arabia
- Muhamma Imam,King Fahd University of Petroleum & Minerals, Saudi Arabia
- Muhammad Asim, Prince Sultan University, Saudi Arabia
- Muhammad Bilal Kai, Prince Sultan University, Saudi Arabia
- Muna Al-Razgan,King Saud University, Saudi Arabia
- Nada Hakami, Prince Sultan University, Saudi Arabia
- Nijad Al-Najdawi, Prince Sultan University, Saudi Arabia
- Nor Shahida Mohd Jamail, Prince Sultan University, Saudi Arabia
- Omaia Al-Omari, Prince Sultan University, Saudi Arabia
- Omar Alomeir, Prince Sultan University, Saudi Arabia
- Panos Kalnis,King Abdullah University of Science and Technology, Saudi Arabia
- Ryszard Tadeusiewicz,AGH University of Science and Technology, Krakow, Poland
- Sadique Ahmad, Prince Sultan University, Saudi Arabia
- Saim Ahmed, Prince Sultan University, Saudi Arabia
- Sajid Shah, Prince Sultan University, Saudi Arabia
- Samah Almutlaq, Prince Sultan University, Saudi Arabia
- Sergio Velastin,Universidad Carlos III de Maid
- Siwar Rekik, Prince Sultan University, Saudi Arabia
- Sohail Saif, University of Technology, West Bengal, India
- Souad Larabi Marie-Sainte, Prince Sultan University, Saudi Arabia
- Suliman Mohamed Fati, Prince Sultan University, Saudi Arabia
- Syed Umar Amin, Prince Sultan University, Saudi Arabia
- Tanzila Saba, Prince Sultan University, Saudi Arabia
- Tarek Helmy,King Fahd University of Petroleum & Minerals, Saudi Arabia
- Tariq Mahmood,Prince Sultan University, Saudi Arabia
- Tariq Soussan, Prince Sultan University, Saudi Arabia
- Venkata Rahul Sarabu,Walmart Global Tech
- Wadii Boulila, Prince Sultan University, Saudi Arabia
- Walid El-Shafai, Prince Sultan University, Saudi Arabia
- Yasir Javed, Prince Sultan University, Saudi Arabia
- Yuxin Qiao,Northern Arizona University, USA
- Zainab Masood, Prince Sultan University, Saudi Arabia
- Zeeshan Haider, Prince Sultan University, Saudi Arabia
Accepted Papers
- 2, Towards Automatic Arabic Test Scoring: Leveraging ChatGPT for Prompt Design, Seham Alsulami, Amal Alsobhi, Abrar Alabdli, Tarik Alafif, Mohammad Jassas and Khaled Albishre
- 3, Modelling of Tsunami Wave Generated by Volcanic Eruption Using Impulsive Disturbance for 2022, Tonga Island Tsunami, Syed Mohamed E and Yasmin Regina M
- 4, Enumerating the k-fold configurations in multi-class classification problems, Attila Fazekas and György Kovács
- 8, Computational Analysis of Quran Text using Machine Learning and Large Language Models, Usama Shahid, Muhammad Zunnurain Hussain and Dr William Sayers
- 11, BI-LSTM ALGORITHM ENHANCING HEART DISEASE PREDICTION USING, Ashokmithraa A, Abdul Athif A and Ezhil Dyana M V
- 12, Ensemble Learning Based Bidirectional Sign Language Translation: Enhancing Accessibility for the Deaf, Mute & Blind Community, Saiyam Arora, Mahira Puri, Rohan Mehar, Vinayak Na and Preeti Nagrath
- 16, Leveraging LSTM for Predictive Modeling of Satellite Clock Bias, Ahan Bhatt, Ishaan Mehta and Pravin Patidar
- 27, Questionable Fairness in Federated Learning, Raed Alharbi, Truc Nguyen, Nooshin Yousefzadeh and Ahmed Aljohani
- 30, Predicting the Length of Hospital Stay Using Machine Learning: An Explainable Artificial Intelligence Approach, Omar Basubeit and Aznul Qalid Md Sabri
- 42, The Bagged Tree Ensemble Model for Predicting Steel Industry Energy Consumption Profile, Taha Etem
- 53, NiftyLLaMA: An open information extraction system integrated with sentiment analysis for Nifty-50 companies using LLaMa-2, Kiran Kumar Kotha and Varsha Yadav Yadav
- 54, Enhancing Zero-Shot Question Answering in Arabic Language with Fine-tuned AraGPT Model, Jwaher Aljebreen, Ashwaq Alhargan and Shimaa Nagro
- 60, The Role of Business Intelligence in Transforming HR Practices: A Focus on Employee Retention and Performance Management, Aftab Ara
- 63, Automating Accessibility Compliance: Leveraging Machine Learning to Analyze Developer Challenges with WCAG Guidelines, Asmaa Alghamdi, Wajdi Aljedaani, Stephanie Ludi and Yasir Javed
- 64, Evaluating LLMs for Arabic Code Summarization: Challenges and Insights from GPT-4, Ahmed Aljohani, Raed Alharbi, Asma Alkhaldi and Wajdi Aljedaani
- 66, Assessing ESG Compliance and Impact: A Zero-Shot Learning Approach to Analyzing Fortune 500 Companies’ Sustainability Reports, Armaan Agrawal
- 72, Forecasting New Mobile Site Location Suitability Using Machine learning, Seyed Ebrahim Hosseini, Shahbaz Pervez, Mazlina Abdul Majid, Nasser Abosaq and Gasim Alandjani
- 75, Assessment and Enhancement of Real-Time Recognition of Sign Language Alphabets through Diverse Machine Learning Techniques, Seyed Ebrahim Hosseini, Shahbaz Pervez and Mubashir Ali
- 78, Federated Semi-Supervised Medical Image Classification using Improved Inter-Client Relation Matching, Muhammed Said Özdemir, Mais Sabbagh, Çiğdem Eroğlu Erdem, Ömer Korçak and Kübra Uludağ
- 81, Enhancing Parental Intervention in Online Gaming: A Design Science Approach to Detecting Cyberbullying through Voice Communication, Mohammed Aljohani, Fayez Alharbi and Mansi Alsmarah
- 83, Personalized Healthcare: Utilizing Probabilistic Models for Disease-Drug Association and Treatment Prediction, Sarah Alsubhi, Mashael Al-Luhaybi, Rawabi Abod, Raghad Alharbi, Ftoon Alharbi and Batool Alharbi
- 87, Novel Methods for Enhancing Statistical Randomness Characteristic Using Chaotic Systems, İdris Olcay, Erkan Tanyıldızı and Fatih Özkaynak
- 88, Reimagining the Data Landscape: A Multi-Agent Paradigm for Data Interfacing, Harri Renney, Max Nethercott, Liv Williams, Jayden Evetts and James Lang
- 92, Improving Cloud Efficiency: A Machine Learning-Based Stacking Model for CPU Utilization Prediction, Ashir Javeed, Anton Borg, Hakan Grahn, Lars Lundberg, Dhyey Patel and Sogand Shirinbab
- 94, Comparative Analysis of Federated Learning Techniques in Big Data-Driven Intelligent Transportation Systems, Sarah Kaleem, Muhammad Babar, Basit Qureshi, Mohammad El-Affendi and Anis Koubaa
- 95, Utilizing Pretrained Vision Transfomers and Large Language Models for Epileptic Seizure Prediction, Paras Parani, Umair Mohammad and Fahad Saeed
- 97, A Vision Transformer Based Framework for Detection and Classification of Soybean Leaf Diseases, Usama Shahzore, Shahzad Akbar, Ijaz Ali Shoukat, Amjad Rehman and Tanzila Saba
- 98, Retinal Image Analysis for Detection of Diabetic Macular Edema Using Transfer Learning, Tayyaba Asim, Shahzad Akbar, Usama Shahzore, Amjad Rehman, Tanzila Saba and Noor Ayesha
- 99, Deep Learning and AI for Superior Colorectal Polyp Detection with YOLOv9 Variants, Zeeshan Haider, Ahmad Taher Azar, and Ibraheem Kasim Ibraheem
- 105, Personalized Symptom Analysis using Large Language Model, Anikha D Nair, Sanjana Ss, Joes Anto, Nebin K Raj and Arthy M
- 106, Setting up a Georeferenced Road Accident Database in Senegal: Automatic Data Extraction and GIS Integration, Yoro Dia, Mouhamadou Djimba Thiam, Oumy Niass, Ousmane Sall, Tony Tona Landu and Abdramane Sow
- 107, Comparative Analysis of U-Net Variants for Semantic Segmentation of Shorelines Using High-Resolution UAV Imagery: A Case Study of Mauritius, Azina Nazurally and Yasser Mohammad Chuttur
- 108, Hybrid Feature Selection Technique for BigData Intrusion Detection Systems, Shafii Abdulhamid, Yousef Alsulaiti, Faisal Albishri, Sanad Al-Hadidy, Nadim Rana and Abdullah Hussein Al-Ghushami
- 109, Manual Prompt Engineering Is Not Dead: A Case Study on Large Language Models for Code Vulnerability Detection with DSPy, Fouad Trad and Ali Chehab
- 110, Cloud-Based Emotion Recognition Application for Arabic Autistic Kids, Abeer Al-Qahtani, Fatmah Al-Mahawes, Fatmah Al-Qahtani, Lamia Berriche and Souad Larabi-Marie Sainte
- 111, Are LLMs Good Zero-Shot Classifiers? Re-Evaluating the Performance of LLMs on Arabic Sentiment Analysis, Mohamed Alkaoud
- 112, Automated Brain Tumor Detection and Classification in MRI Scans Using a Deep Convolutional Neural Network and U-Net Architecture, Prathima Devadas
- 113, Integrating DDP to Enhance Cryptographic Potential of Latin Squares through Increased Permutation Diversity, Muhammad Akhlaq and Syed Zeeshan Mahfooz
- 114, Snow Forecasting with Machine Learning, Abdulaziz AlSowail
- 115, Data-Driven Machine Learning Models for Enhanced Fetal Health Classification and Monitoring, Meteb Fahad Almadi
Venue
Prince Sultan University
P.O.Box No. 66833 Rafha Street, Riyadh 11586 Saudi Arabia

By Plane

By Car
