Breakthrough in Neuromorphic Networks Award - ScienceFather https://networking-events.sciencefather.com Mon, 10 Jun 2024 05:40:25 +0000 en-GB hourly 1 https://wordpress.org/?v=6.7.1 https://networking-events.sciencefather.com/wp-content/uploads/2022/06/Picture5.png Breakthrough in Neuromorphic Networks Award - ScienceFather https://networking-events.sciencefather.com 32 32 Prof Dr. Alexander Pisarchik | Neuromorphic Network Technology | Best Researcher Award https://networking-events.sciencefather.com/alexander-pisarchik-neuromorphic-network-technology-best-researcher-award-2812/?utm_source=rss&utm_medium=rss&utm_campaign=alexander-pisarchik-neuromorphic-network-technology-best-researcher-award-2812 Mon, 10 Jun 2024 05:37:04 +0000 https://networking-events.sciencefather.com/?p=18387 Prof Dr. Alexander Pisarchik | Neuromorphic Network Technology | Best Researcher Award Prof Dr. Alexander Pisarchik, Universidad Politécnica de Madrid, Spain 🎓 Prof. Dr. Alexander Pisarchik, the esteemed Isaac-Peral Professor at the Polytechnic University of Madrid 🇪🇸, boasts a rich

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Prof Dr. Alexander Pisarchik | Neuromorphic Network Technology | Best Researcher Award
Prof Dr. Alexander Pisarchik, Universidad Politécnica de Madrid, Spain

🎓 Prof. Dr. Alexander Pisarchik, the esteemed Isaac-Peral Professor at the Polytechnic University of Madrid 🇪🇸, boasts a rich academic background with a Ph.D. in Physical and Mathematical Sciences from the Institute of Physics, Belarus 📚. His expertise in nonlinear dynamics was further honed at McGill University 🇨🇦 and the University of Lisbon 🇵🇹. Pisarchik’s international experience includes prestigious scholarships and roles across Belgium, Spain, and Mexico 🌍. At UPM, his research focuses on the nonlinear dynamics of biomedical systems, mathematical neuroscience, and brain-computer interfaces 🧠. An author of influential books and a key figure in IPACS and CIBER, he has delivered over 60 invited lectures globally, supervised 12 Ph.D. students, and coordinated 30 research projects, making significant contributions to science and technology 🌟.

🌐 Professional Profile:

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🎓 Educational Background

Alexander Pisarchik earned his Ph.D. in Physical and Mathematical Sciences in 1990 from the Institute of Physics of the Academy of Sciences of Belarus. He furthered his education in nonlinear dynamics with specialized courses at McGill University, Canada, and the University of Lisbon, Portugal, in 1997.

🌍 International Experience

Pisarchik’s global academic journey includes a Belgian government scholarship in 1992 to visit the Universidad Libre de Bruselas. Between 1993 and 1998, he received scholarships from Spain and Catalonia, working at the Universitat Autónoma de Barcelona. In 1999, he was awarded the Chair of Excellence by CONACYT in Mexico.

🏛 Current Position

Since 2013, Alexander Pisarchik has been the Isaac-Peral Professor at the Center for Biomedical Technology, Polytechnic University of Madrid, Spain, contributing to the BBVA-UPM BioTech Chairs Program.

📚 Research Interests

His research spans nonlinear dynamics of biomedical systems, mathematical neuroscience, network physiology, and brain-computer interfaces. He has authored notable books like “Synchronization: From Coupled Systems to Complex Networks” and “Multistability in Physical and Living Systems: Characterization and Applications.”

👥 Professional Contributions

A member of the Board of Directors of the International Physics and Control Society (IPACS) and the Biomedical Research Networking Center (CIBER), Pisarchik has presented over 60 invited lectures at international conferences, supervised 12 PhD students, and coordinated 30 research projects.

🔍 Research Contributions

  • Complex Dynamics and Synchronization: Extensive research on synchronization phenomena in chaotic systems.
  • Secure Communications Based on Chaos: Developed novel encryption schemes using chaotic signals.
  • Multistability and Bifurcations: Investigated mechanisms of multistability and bifurcations in physical and biological systems.
  • Data Analysis and Modeling of Complex Systems: Advanced techniques for chaos detection and complex system modeling.
  • Applications in Neuroscience and Brain Dynamics: Applied nonlinear dynamics to understand brain functions and neuronal activity.

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