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Dr. Innokentiy Kastalskiy   Changwei W.Wu distinguished academic and researcher in the field Social network .  In his professional journey, he has held various key positions in prominent research institutions, showcasing a multifaceted expertise in the field of neurotechnology and biomechatronics. Since 2022, he has served as a Senior Researcher at the Moscow Institute of Physics and Technology (MIPT) within the Laboratory of Neurobiomorphic Technologies. Concurrently, since 2019, he has held the position of Associate Professor and Senior Researcher at Lobachevsky State University of Nizhny Novgorod (UNN), contributing significantly to the Department of Neurotechnology.

His prior experience includes a tenure as a Research Fellow from 2017 to 2019 at the Laboratory for the Development of Intellectual Biomechatronic Technologies. Notably, he has also been a part of the research teams at Samara State Medical University, Immanuel Kant Baltic Federal University in Kaliningrad, and the Institute of Applied Physics of the Russian Academy of Sciences in Nizhny Novgorod. His extensive career encompasses roles such as Leading Specialist at SamSMU’s Laboratory of Mathematical Neuromodelling and Senior Researcher at BFU’s Center for Neurotechnology and Machine Learning. Throughout his career, he has consistently demonstrated a commitment to advancing knowledge in neurocybernetics, autowave processes, and the broader landscape of nonlinear processes in living systems.

🌐 Professional Profiles

Educations📚📚📚

 In 2017, he successfully earned a PhD degree with a dissertation focused on the analysis of signals within biological systems’ network activity and the practical applications of this knowledge in the development of neural interface devices. His academic journey began in 2005 at Lobachevsky State University of Nizhny Novgorod, where he pursued a degree in Radiophysics with a specialty in Information Systems and Technologies. This foundation led him to further academic pursuits, culminating in his role as a graduate student from 2010 to 2013, specializing in the Department of Theory of Oscillation and Automatic Control. Throughout his educational trajectory, his dedication and scientific expertise have been recognized, earning him various scholarships and awards for his outstanding contributions in the field of Radiophysics.

 

SCHOLARSHIPS AND AWARDS🏆🏆🏅

He has garnered significant recognition throughout his academic and research career, underscored by his laureate status as the recipient of the Scholarship of the President of the Russian Federation in both 2015 and 2022. The 2015 scholarship was awarded for his exemplary work on the study of functional calcium signaling in neuron-glial networks, showcasing his expertise in the intricate mechanisms of brain function.

In 2022, he earned the prestigious scholarship for his outstanding contributions to mathematical models of network dynamic systems with energy-efficient communication, reflecting his commitment to advancing knowledge in the field. Further validating his prowess, he emerged as the winner of the Russian federal “UMNIK” competition in 2014, demonstrating his excellence in applied scientific projects related to the design of software systems for monitoring neuron-glial networks’ functional activity.

Additional accolades include his victory in the “UMNIK-NN-14” competition in 2014, acknowledgment as a Forum of Lobachevsky University young scientists awardee in 2013, and recognition as a G.A. Razuvaev scholarship laureate in 2012-2013. His academic journey also includes being a laureate of the scholarship of the Academic Council in 2011-2012 and earning a coveted spot in the “Best graduates of Lobachevsky University” list in 2010. These accomplishments collectively reflect his exceptional dedication and contributions to the field of neuroscience and mathematical modeling.

 

GRANT MANAGEMENT

He has been successful in securing several research grants, exemplifying his expertise and the recognition of his work in the scientific community. In 2019, he received the RFBR grant #19-32-60051 from the Russian Foundation for Basic Research, supporting his research on the nonlinear effects of signal generation and propagation in neuron-astrocytic networks from 2019 to 2022. Concurrently, he was awarded the Grant of the President of the Russian Federation MK-133.2019.4 in 2019-2020, facilitated by the Ministry of Science and Higher Education. This grant was dedicated to investigating the functional network activity of astrocytes in a mutant line of mice predisposed to audiogenic seizures. Additionally, in 2012-2013, he successfully obtained a grant from the Federal Targeted Programme, #14.132.21.1663, focused on designing neuroanimat models—a robot propelled by the activity of plastic neuronal networks. These grants not only showcase his ability to secure substantial funding for his research initiatives but also underscore the significance and innovation of his scientific inquiries, contributing to the advancement of knowledge in neurobiology and related fields.

 

MEMBERSHIP IN COMMUNITIES

He actively engages with various professional societies, demonstrating his commitment to the broader scientific community. As a member of the Federation of European Neuroscience Societies (FENS), he holds the FENS Member ID RU51317, showcasing his affiliation with this esteemed international organization. Additionally, his involvement extends to the Institute for Systems and Technologies of Information, Control, and Communication (INSTICC), where he holds the membership number 14553 (14559). These memberships underline his dedication to staying abreast of cutting-edge developments in information technology, control systems, and communication. Furthermore, his association with the Physiologists Society of Russia under the name of I.P. Pavlov reflects his commitment to the national scientific landscape, aligning his interests with the foundational principles of physiological research. By actively participating in these professional societies, he contributes to the exchange of knowledge and collaboration within the fields of neuroscience, information technology, and physiological research.

 

Publications📚✨📚✨

Innokentiy Kastalskiy – Social networks – Best Researcher Award

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