Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Assoc. Prof. Dr. Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Associate Prof at College of Science and Engineering /Hamad Bin Khalifa University, Qatar

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.

Professional Profile 

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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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

 

Danko Jocic | Pure Mathematics | Outstanding Pure Mathematics Contribution

Prof. Dr. Danko Jocic | Pure Mathematics | Outstanding Pure Mathematics Contribution

Professor at University of Belgrade, Faculty of mathematics, Serbia

Prof. Dr. Danko Jocić is a distinguished mathematician specializing in functional analysis and operator theory, with a prolific research career spanning several decades. His contributions focus on norm inequalities, operator inequalities, perturbation theory, and elementary operators in norm ideals. He has authored numerous high-impact journal articles in prestigious international publications such as the Journal of Functional Analysis, Proceedings of the American Mathematical Society, and Linear Algebra and Its Applications. His research has significantly advanced understanding in areas like Schatten ideals, noncommutative analysis, and operator monotone functions. Additionally, he has co-authored influential books and book chapters, furthering mathematical knowledge dissemination. Prof. Jocić has mentored doctoral students and actively contributed to the academic community through award presentations and editorial work. His extensive body of work and leadership in mathematical research make him a strong candidate for the Best Researcher Award, recognizing his profound influence in pure and applied mathematics.

Professional Profile 

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Education

Prof. Dr. Danko Jocić is a distinguished mathematician specializing in functional analysis and operator theory. He obtained his undergraduate, master’s, and doctoral degrees from esteemed institutions, demonstrating academic excellence throughout his education. His doctoral research focused on advanced topics in operator theory, laying the foundation for his prolific contributions to mathematical inequalities and functional analysis. Under the mentorship of leading experts, he developed a deep understanding of norm inequalities, derivations, and spectral theory, which later became central to his research. His education equipped him with the analytical skills necessary to explore perturbation inequalities, operator ideals, and noncommutative analysis. Throughout his academic journey, he engaged in rigorous training, attending specialized courses and participating in mathematical awards, further refining his expertise. His solid educational background has been instrumental in shaping his career as a leading researcher, educator, and mentor in the field of mathematical sciences.

Professional Experience

Prof. Dr. Danko Jocić is a distinguished mathematician specializing in functional analysis, operator theory, and norm inequalities. With a prolific academic career, he has authored numerous research papers in high-impact international journals, including the Journal of Functional Analysis, Linear Algebra and Its Applications, and Complex Analysis and Operator Theory. His contributions focus on operator inequalities, perturbation theory, and Schatten ideals, significantly advancing the field of mathematical analysis. He has co-authored influential monographs and book chapters, further enriching the mathematical community. Prof. Jocić has presented his research at prestigious international awards and has mentored multiple doctoral students, shaping future generations of mathematicians. His expertise and dedication to advancing operator theory have earned him recognition as a leading researcher in mathematical sciences. Through his extensive publication record and academic leadership, he continues to contribute profoundly to the study of mathematical operators and functional analysis.

Research Interest

Prof. Dr. Danko Jocić’s research interests lie in functional analysis, operator theory, and norm inequalities, with a particular focus on elementary operators, norm ideals of compact operators, and perturbation theory. His work extensively explores inequalities related to self-adjoint operators, Schatten-von Neumann classes, and various integral transformations in operator algebras. He has contributed significantly to the study of Cauchy-Schwarz, Minkowski, Landau, and Grüss-type inequalities, refining classical operator inequalities and extending them to new mathematical structures. Additionally, his research encompasses norm estimates for derivations, noncommutative analysis, and inequalities for hypercontractive quasinormal operators. Prof. Jocić has collaborated on developing new mathematical tools for studying accretive and quasinormal operators, leading to applications in functional spaces and spectral theory. His contributions, published in prestigious international journals, demonstrate a deep commitment to advancing mathematical understanding in the field of operator theory and its broader implications in functional analysis.

Award and Honor

Prof. Dr. Danko Jocić is a distinguished mathematician renowned for his contributions to functional analysis, operator theory, and norm inequalities. With an extensive body of research published in prestigious international journals, he has significantly advanced the understanding of elementary operators, Schatten ideals, and norm inequalities in compact operator theory. His scholarly impact is further evidenced by his authorship of influential books and monographs, as well as his mentorship of doctoral students, shaping the next generation of mathematicians. Throughout his career, Prof. Jocić has received recognition for his exceptional research, including invitations to present at esteemed mathematical awards and symposiums worldwide. His work has been cited extensively, demonstrating its lasting influence on the field. As a respected academic, he has also played a vital role in the mathematical community, contributing to the development of contemporary operator theory. His unwavering dedication and scholarly excellence make him a deserving candidate for prestigious research awards.

Conclusion

Prof. Dr. Danko Jocić is a distinguished researcher in the field of functional analysis and operator theory, with a prolific academic career marked by high-impact publications in prestigious international journals. His contributions span a wide range of topics, including norm inequalities, elementary operators, and generalized derivations, showcasing both depth and innovation in mathematical research. His work has been widely cited, demonstrating its relevance and influence within the mathematical community. Additionally, his role as a mentor for doctoral students highlights his commitment to academic development and knowledge dissemination. Despite his impressive contributions, continued engagement in cutting-edge research and interdisciplinary collaborations could further enhance his global recognition. Overall, his extensive body of work, leadership in mathematical research, and dedication to education make him a strong candidate for the Best Researcher Award, solidifying his status as a key figure in contemporary mathematical analysis.

Publications Top Noted

  • Norm Estimates for Remainders of Noncommutative Taylor Approximations for Laplace Transformers Defined by Hyperaccretive Operators
    Author: Jocić, D.R.
    Year: 2024
    Citations: 0
  • Norm Inequalities for the Iterated Perturbations of Laplace Transformers Generated by Accretive N-Tuples of Operators in Q and Q Ideals of Compact Operators*
    Authors: Jocić, D.R., Golubović, Z.L., Krstić, M., Milašinović, S.
    Year: 2024
    Citations: 1
  • Norm Inequalities for Hyperaccretive Quasinormal Operators, with Extensions of the Arithmetic-Geometric Means Inequality
    Authors: Jocić, D.R., Lazarević, M.
    Year: 2024
    Citations: 2
  • Noncommutative Pick–Julia Theorems for Generalized Derivations in Q, Q and Schatten–von Neumann Ideals of Compact Operators*
    Author: Jocić, D.R.
    Year: 2023
    Citations: 2
  • Norm Inequalities for Hypercontractive Quasinormal Operators and Related Higher Order Sylvester–Stein Equations in Ideals of Compact Operators
    Authors: Jocić, D.R., Lazarević, M.
    Year: 2023
    Citations: 1
  • Noncommutative Schwarz Lemma and Pick–Julia Theorems for Generalized Derivations in Norm Ideals of Compact Operators
    Author: Jocić, D.R.
    Year: 2022
    Citations: 3
  • Perturbation Norm Inequalities for Elementary Operators Generated by Analytic Functions with Positive Taylor Coefficients
    Authors: Jocić, D.R., Lazarević, M., Milović, M.
    Year: 2022
    Citations: 1
  • Cauchy–Schwarz Norm Inequalities for Elementary Operators and Inner Product Type Transformers Generated by Families of Subnormal Operators
    Authors: Jocić, D.R., Lazarević, M.
    Year: 2022
    Citations: 3
  • Cauchy–Schwarz Operator and Norm Inequalities for Inner Product Type Transformers in Norm Ideals of Compact Operators, with Applications
    Authors: Jocić, D.R., Lazarević, M.
    Year: 2022
    Citations: 0
  • Extensions of the Arithmetic–Geometric Means and Young’s Norm Inequalities to Accretive Operators, with Applications
    Authors: Jocić, D.R., Krtinić, Đ., Lazarević, M.
    Year: 2022
    Citations: 6