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Angelo SifalerasView profile

Professor

• Mathematical Programming
• Network Optimization
• Heuristic Methods
• +2 more

Angelo Sifaleras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia (Thessaloniki, Greece). He also serves as an Adjunct Professor of Quantitative Methods at the Hellenic Open University. His academic credentials include a Ph.D. in Applied Informatics (University of Macedonia, 2007) and a B.Sc. in Mathematics (Aristotle University of Thessaloniki, 1999). Research Focus: Professor Sifaleras specializes in Mathematical Programming , Network Optimization , and Heuristic Methods . His work integrates computational optimization with real-world logistics, supply chains, and sustainable systems. Key research themes include metaheuristic algorithms for vehicle routing, pollution-aware logistics, and parallel computing solutions for network analysis. Publication Trends: His 15 most recent articles emphasize hybrid metaheuristics (e.g., combining reinforcement learning with Variable Neighborhood Search), sustainable supply chain modeling, and high-performance computing applications. Dominant domains include operations research, environmental optimization, and educational algorithm visualization. Teaching & Service: He instructs courses in Combinatorial Optimization, Linear Algebra, and Heuristic Methods, employing tools like CPLEX, Gurobi, and SageMath. As an editor for Operations Research Forum and the Yugoslav Journal of Operations Research , he supports academic discourse in optimization. A Senior ACM member, he contributes to conferences like ICVNS and ITS.

Peter LandView profile

Researcher

• Remote Sensing
• Ocean Colour
• Ocean Acidification
• +3 more

Dr. Peter Land serves as a Remote Sensing Scientist at Plymouth Marine Laboratory (PML), where he has conducted research since 2000. His work bridges satellite data science and critical environmental challenges, with active supervision of graduate students and leadership in international collaborative projects. His academic foundation includes: Physics degree from the University of Oxford PhD in Planetary Physics from Imperial College London Dr. Land's research centers on satellite remote sensing for marine environmental monitoring, with specialized expertise in ocean colour algorithms, ocean acidification detection, and air-sea greenhouse gas flux quantification. His signature methodological contribution is rigorous uncertainty analysis and reduction in environmental datasets. He combines satellite observations with field campaigns and laboratory instrumentation to develop practical tools for understanding Earth's fragile systems. Current research initiatives include: ESA OceanSODA (ocean carbon monitoring) ESA Pathfinders Ocean Acidification ESA OceanFlux Greenhouse Gases EU JMP and EUNOSAT environmental programs Dr. Land currently co-supervises Hannah Green (Arctic Ocean Acidification) and Joao Eberl (UAV environmental monitoring), maintaining an active pipeline of next-generation environmental scientists. His career demonstrates continuous evolution from planetary physics to cutting-edge Earth observation techniques with tangible policy relevance.

• STEM Education
• Educational Technology
• Machine Learning in Education
• +3 more

Roberto Araya Schulz is a Full Professor at the University of Chile's Institute of Advanced Studies in Education, with a 44-hour working week. He holds a PhD from the University of California (1986) and an MSc from University of Chile (1979). Specializes in STEM education and educational technology Primary research areas: Machine learning in education, cognitive development, gamification His recent publications focus on: Integrating digital platforms in primary education Embodied cognition through hand puppets in math classes Large language models for spatial reasoning development Teacher discourse analysis using neural networks Key research grants include: FONDECYT Postdoctorate (2024-2027) on educational technology integration FONDECYT Exploration Projects (2024-2028) for dialogical teaching strategies IDRC funding (2017-2019) for digital tools in education