Sergey Kovalev is the full professor (2005). He works as a scientific supervisor at JSC “NIIAS” and professor at “Automatics and Remote Control on railways” of Rostov State Transport University. He is a president of Russian Association for Fuzzy Systems and Soft Computing. Sergey M. Kovalev is also a vice president of Russian Association for Artificial Intelligence. He has authored and co-authored more than 200 scientific works and 6 monographs. Last 25 years his scientific interests include problems of development for advanced information technologies and methods of intelligent modeling. He specializes in such areas as intelligent and fuzzy systems, soft computing, and decision support systems. Nowadays he develops the new scientific school based on dynamization of information processes in complex systems for dispatching control in transport.
Igor V. Kotenko is a Chief Scientist and Head of Research Laboratory of Computer Security Problems of the St. Petersburg Federal Research Center of the Russian Academy of Sciences. He is also Professor of ITMO University, St. Petersburg, Russia, and Bonch-Bruevich Saint-Petersburg State University of Telecommunications. He is the author of more than 800 refereed publications, including 24 books and monographs. Main research results are in artificial intelligence, telecommunication, cybersecurity, including network intrusion detection, modeling and simulation of network attacks, vulnerability assessment, security information and event management, verification and validation of security policy. Igor V. Kotenko was a project leader in the research projects from the European Office of Aerospace Research and Development, EU FP7 and FP6 Projects, HP, Intel, F-Secure, Huawei, etc. The research results of Igor Kotenko were tested and implemented in multitude of Russian research and development projects, including grants of Russian Science Foundation, Russian Foundation of Basic Research and multitude of State contracts. He has been an invited speaker on multitude of international conferences and workshops. He has chaired several international conferences.
Xiao-Shan Gao works on symbolic computation, automated reasoning, and mathematical theory of deep learning. His research advances algebraic algorithms with applications in AI, CNC, and robotics, and he plays a leading role in promoting international collaboration in mathematical sciences. He was awarded the awards: Second Prize of the National Natural Science Award, Wu Wenjun Applied Mathematics Award, Wu Wenjun AI Outstanding Contribution Award, Distinguished Paper Awards from ACM SIGSAM/ISSAC, National Science Fund for Outstanding Young Scholars.
Zhu Jubo, a professor and doctoral advisor, has long been engaged in applied mathematics research and has achieved outstanding accomplishments in areas such as satellite navigation and spaceborne radar data processing and system analysis. He has published over 80 academic papers and authored two monographs. Additionally, he has supervised more than 30 graduate students and has been invited to deliver multiple keynote speeches at academic conferences. His accolades include the National Major Engineering Construction Outstanding Contribution Medal, two first prizes and four second prizes for scientific and technological progress at the ministerial level. He was selected for the Ministry of Education’s New Century Excellent Talents Support Program and is a recipient of the State Council Special Government Allowance.
Maria Butakova is a Doctor of Science in engineering (2007) and full professor (2009). She is a Principal Researcher at JSC NIIAS and a professor at the computer science department of Rostov State Transport University. She is also a member of the Russian Association for Artificial Intelligence and has authored or co-authored over 250 scientific papers. Maria Butakova has extensive experience leading scientific projects and teams. She is a member of two academic degree awarding committees. Her research interests include artificial intelligence, machine learning, neural networks, mathematical modeling of information processes, the use of intelligent information technologies in natural sciences, and image recognition and processing.
Andrey Sukhanov is the associate professor of Intelligent Transportation Systems (2022). He is a Russian researcher in applied artificial intelligence and intelligent transportation systems. He currently serves as Chief Expert at JSC "NIIAS" and Associate Professor at Rostov State Transport University (RSTU). He specializes in automating and adding intelligence to the monitoring and control of processes at freight and marshalling yards. For ten years he has led, and personally taken part in, the development of hardware and software systems for the digital railway station. His solutions are used in the industrial operation of Russian Railways marshalling yards. Dr. Sukhanov graduated from RSTU in 2013. During his postgraduate studies he trained at VSB – Technical University of Ostrava (Czech Republic) under the Scholarship of the President of the Russian Federation for study abroad. In 2016 he received his Candidate of Technical Sciences degree (Ph.D. equivalent) in Theoretical Foundations of Informatics. His theory of hybrid process control systems has been widely recognized by the research community and presented at many national and international conferences. He has authored more than 100 scientific publications, over 30 of them indexed in Scopus and Web of Science (h-index: 14). His research interests are intelligent transportation systems, artificial intelligence, and machine learning.
