Assoc. Prof. Dr. Abderrahmane Belhaoues | Technology | Research Excellence Award

Skikda University | Algeria

Dr. Abderrahmane Belhaoues is an active researcher in polymer science, specializing in polymeric materials, polymer blends, elastomers, and the physical chemistry and characterization of polymers. His work focuses on understanding the engineering properties, rheology, and processing behavior of plastics and elastomeric materials, contributing to advancements in soft materials and rubber technology. His research integrates fundamental chemistry with applied material science to support industrial and technological innovations. According to Scopus data, he has 8 indexed documents with 68 citations and an h-index of 6, with additional visibility and citation growth reflected across Google Scholar, indicating consistent scholarly impact.

Citation Metrics (Scopus)

100

Citations
68

Documents
8

h-index
6

🟦 Citations 🟥 Documents 🟩 h-index

Featured Publications

Effect of Gamma Radiation on the Chemical Structure and Physical Properties of Poly(butylene adipate-co-terephthalate)
– Polymers, 2026

Integration of Polymer-Based Phase Change Materials Into Building Walls in the Hot Region of Algeria
– SPE Polymers, 2026

Preparation and characterization of a high-density polyethylene/date seed (HDPE/DS) composites: Effect of particle size, content, and chemical treatment of the DS powder filler on composite properties
– Journal of Composite Materials, 2025

Excellent compatibilization effect of (ENR/PP-g-MA) as a dual reactive compatibilizer on the immiscible thermoplastic elastomer based on nitrile rubber and polypropylene blends: Insights from experimental and computational studies
– Materials Today Communications, 2024

Experimental and Theoretical Investigation of the Effect of Physical and Chemical Compatibilization on the Properties of Thermoplastic Elastomers derived from Natural Rubber and Polypropylene Blends
– Materials Today Communications, 2024

Prof. Dr. Cesar Hernando Valencia Niño | Evolutionary Computation | Best Researcher Award

Prof. Dr. Cesar Hernando Valencia Niño | Director of Master on Data Analytics and Intelligent Systems | Santo Tomas University Bucaramanga | Colombia

Cesar Hernando Valencia Niño is a distinguished researcher in artificial intelligence, robotics, mechatronics, and intelligent control systems. His work integrates machine learning algorithms with mechanical and electrical engineering to develop predictive, inferential, and adaptive systems applied to robotics, biomedical devices, industrial automation, and human–machine interaction. As leader of a Category A research group, he has contributed significantly to interdisciplinary applications of AI in areas such as prosthetics, echo state networks, autonomous systems, and biomedical forecasting. His portfolio includes contributions to the advancement of industrial robotics, machine design, neuroevolutionary computation, magnetorheological systems, and control architectures for UAVs and prosthetics. With active participation in 25 research and innovation projects, he has produced 17 peer-reviewed journal articles, 5 book chapters, 12 industrial prototypes, 7 documented innovations, and 5 patents. He is also a recognized reviewer of top-tier indexed journals and has directed theses across undergraduate to doctoral levels. Valencia Niño has presented his work in more than 30 knowledge dissemination events, demonstrating strong engagement in academic and scientific communities. His citation impact reflects growing international recognition: Scopus reports 45 citations from 44 documents with 17 indexed publications and an h-index of 4, while Google Scholar attributes 96 citations, an h-index of 6, and an i10-index of 2. His research continues to bridge artificial intelligence with engineering solutions for complex, real-world challenges, emphasizing innovation, automation, and intelligent system design.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

Valencia, C. H., Vellasco, M. M. B. R., & Figueiredo, K. (2023). Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting. Neurocomputing, 545, 126317.
Valencia Niño, C. H. (2011). Modelo de optimización en la gestión de inventarios mediante algoritmos genéticos. ITECKNE: Innovación e Investigación en Ingeniería, 8(2), 156–162.
Valencia, C. H., Vellasco, M. M. B. R., & Figueiredo, K. T. (2014). Trajectory tracking control using echo state networks for the CoroBot’s arm. In Robot Intelligence Technology and Applications 2.
Valencia, C. H., Vellasco, M., Tanscheit, R., & Figueiredo, K. T. (2015). Magnetorheological damper control in a leg prosthesis mechanical. In Robot Intelligence Technology and Applications 3.
Valencia Niño, C. H., & Dutra, M. S. (2010). Estado del arte de los vehículos autónomos sumergibles alimentados por energía solar. ITECKNE, 7(1), 46–53.