Dr. Samir Brahim Belhaouari is an accomplished Associate Professor at Hamad Bin Khalifa University, specializing in applied mathematics, optimization, pattern recognition, and machine learning. He holds a Ph.D. in Mathematical Sciences from the prestigious Federal Polytechnic School of Lausanne and a Master’s degree in Networks and Telecommunications from INP/ENSEEIHT in France. Dr. Belhaouari has over 300 published research papers and has made significant contributions to areas such as sustainable AI, bio-inspired neural networks, time-frequency transformations for prediction, and cryptography. His work has earned him numerous accolades, including Gold and Silver Medals at international exhibitions. He has been actively involved in global academic initiatives, with research collaborations in Europe, the USA, and the Middle East, and has led impactful research projects, such as AI solutions for medical imaging. With over 3,800 citations and an H-index of 32, Dr. Belhaouari’s innovative work continues to shape the future of applied mathematics and AI.
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Education
Dr. Samir Brahim Belhaouari completed his Ph.D. in Mathematical Sciences, focusing on stochastic processes and their applications, at the prestigious Federal Polytechnic School of Lausanne (EPFL) in Switzerland in 2006. Prior to that, he earned a Master’s degree in Networks and Telecommunications, specializing in signal and image processing, from INP/ENSEEIHT in France in 2000. This strong educational foundation has been key to his outstanding career in applied mathematics, optimization, and machine learning. His educational journey reflects a commitment to excellence and a deep understanding of complex mathematical and computational theories, which he continues to apply in his innovative research projects.
Professional Experience
Dr. Belhaouari is an Associate Professor in the Division of Information and Computing Technology at Hamad Bin Khalifa University, Qatar. His career includes previous academic positions at the University of Sharjah, Radiological Technologies University-VT, and INNOPOLIS University in Russia. He has also worked with top institutions such as EPFL and INP. His professional experience spans various continents, providing a global perspective on educational and research practices. Additionally, his extensive involvement in research projects and university leadership showcases his dedication to advancing both academic and practical knowledge.
Research Interest
Dr. Samir Brahim Belhaouari’s research interests encompass a wide array of topics, primarily focusing on applied mathematics, AI, machine learning, and optimization. His work delves into stochastic processes, bio-inspired neural networks, time-frequency transformations for time-series prediction, cryptographic algorithms, and sustainable AI. Notable projects include the development of green AI technologies, new neural network architectures, and advanced algorithms for feature extraction and video summarization. His research aims to bridge theoretical mathematics with real-world applications, particularly in fields like medical imaging, bioinformatics, and cryptography, thus contributing to the advancement of science and technology.
Award and Honor
Dr. Belhaouari’s groundbreaking research has been recognized globally with multiple awards, including Gold and Silver Medals at international exhibitions. His contributions to the field of applied mathematics and AI have earned him high regard in academia. With an impressive citation index exceeding 3,800 and an H-index of 32, his work is highly influential in both theoretical and applied contexts. Furthermore, his leadership in various international academic initiatives and his role in establishing INNOPOLIS University highlight his commitment to advancing education and research worldwide.
Conclusion
Dr. Samir Brahim Belhaouari is a distinguished academic and researcher whose work has made a significant impact on applied mathematics, AI, and machine learning. His expertise spans a wide range of subjects, from stochastic processes and optimization to cryptography and bioinformatics. His extensive professional experience and global research collaborations have cemented his reputation as a thought leader in his field. Through his dedication to both teaching and groundbreaking research, Dr. Belhaouari continues to contribute to the advancement of knowledge and the development of innovative solutions to real-world challenges. His recognition with numerous awards and honors serves as a testament to his excellence and lasting influence.
Publications Top Noted
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Title: t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
Authors: M. Allaoui, S. Birahim Belhaouari, R. Hedjam, K. Bouanane, M.L. Kherfi
Year: 2025
Source: Expert Systems with Applications
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Title: KNNOR-Reg: A python package for oversampling in imbalanced regression
Authors: S. Birahim Belhaouari, A. Islam, K. Kassoul, A.I. Al-Fuqaha, A. Bouzerdoum
Year: 2025
Source: Software Impacts
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Title: Intelligent mask image reconstruction for cardiac image segmentation through local–global fusion
Authors: A. Boukhamla, A. Nabiha, S. Birahim Belhaouari
Year: 2025
Source: Applied Intelligence
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Title: G-EEGCS: Graph-based optimum electroencephalogram channel selection
Authors: I. Faye, M.Z. Yusoff, S. Birahim Belhaouari
Year: 2024
Source: Biomedical Signal Processing and Control
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Title: Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
Authors: A.U. Rehman, S. Birahim Belhaouari, A. Bermak
Year: 2024
Citations: 2
Source: Swarm and Evolutionary Computation
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Title: Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Authors: I. Kraidia, A. Ghenai, S. Birahim Belhaouari
Year: 2024
Citations: 3
Source: Scientific Reports
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Title: Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Authors: N.S. Amer, S. Birahim Belhaouari
Year: 2024
Citations: 6
Source: Scientific Reports
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Title: A novel few shot learning derived architecture for long-term HbA1c prediction
Authors: M.K. Qaraqe, A. Elzein, S. Birahim Belhaouari, M.S. Ilam, G. Petrovski
Year: 2024
Citations: 2
Source: Scientific Reports
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Title: Elevating recommender systems: Cutting-edge transfer learning and embedding solutions
Authors: A. Fareed, S. Hassan, S. Birahim Belhaouari, Z. Halim
Year: 2024
Citations: 1
Source: Applied Soft Computing Journal
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Title: FairColor: An efficient algorithm for the Balanced and Fair Reviewer Assignment Problem
Authors: K. Bouanane, A.N. Medakene, A. Benbelghit, S. Birahim Belhaouari
Year: 2024
Citations: 1
Source: Information Processing and Management