جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Structural Mechanics
• Mathematics Education
• +۳ مورد دیگر

Zoya Mikhailovna Shanina is an Associate Professor at the Department of Mathematics, Faculty of Mechanical Engineering, Zaporizhzhia Polytechnic National University. With over 37 years of academic experience since 1988, she holds the academic title of Associate Professor and the degree of Candidate of Technical Sciences. Her work bridges mechanical engineering, structural analysis, and mathematics education methodology. Dr. Shanina earned her higher education at Dnipropetrovsk Construction Institute, Mechanical Faculty in 1975, graduating with honors in mechanics with a specialization in mechanical engineering. She defended her Candidate's thesis in 1987 at Kharkiv Institute of Agricultural Mechanization on 'Research and justification of toothed working bodies operating in the conditions of southern Ukraine'. Her research spans two primary domains: structural mechanics and mathematics education methodology. With over 50 scientific publications including one patent, her work demonstrates consistent focus on mechanical systems, particularly agricultural machinery dynamics and crane structural properties. She has made significant contributions to understanding soil-tool interactions in agricultural implements and dynamic behavior of crane systems under various loading conditions. Honorary certificate of the Ministry of Education and Science of Ukraine (2000) Badge 'Excellence in Education of Ukraine' (2005) ZNTU Badge 3rd degree 'For impeccable work' (2009) Honorary certificate of the Zaporizhzhia City Council (2011) Honorary certificate of the Zaporizhzhia Regional Council (2015) University Badge 2nd degree 'For impeccable work' (2023) As an active member of the university staff conference, Dr. Shanina has mentored numerous students in Higher Mathematics while maintaining a robust research agenda focused on practical engineering applications in agricultural machinery and industrial lifting equipment.

• Graph algorithms
• Combinatorial optimization
• Artificial intelligence
• +۲ مورد دیگر

Матвій Борисович Ільяшенко is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technologies, Zaporizhzhia Polytechnic National University. He holds a Ph.D. in Computer Engineering from the Institute of Modeling Problems in Energy (NAS of Ukraine, Kyiv) and graduated from ZNTU with honors in 2005. Ph.D. in Computer Engineering (2008) Specialty: Computer Systems and Networks (2005) His research focuses on graph algorithms, combinatorial optimization, and artificial intelligence systems. Recent publications explore blockchain integration in digital twins, neuroevolution for anomaly detection, and spiking neural network synthesis with probabilistic coding. His work spans distributed computing, medical diagnostics, and industrial cybersecurity. Key trends in his publications include: 1) Advanced graph isomorphism algorithms for resource allocation; 2) Neuroevolutionary techniques in time series analysis; 3) Blockchain-enhanced digital twin architectures; 4) Stochastic programming for big data reduction; 5) Probabilistic neural models with neuropattern mechanisms. He teaches Fundamentals of optimization of computer systems and networks and has contributed to specialized digital systems semantic analysis, GRID network resource reservation, and communication channel efficiency optimization. His work bridges theoretical algorithms with practical implementations in industrial and medical domains.

Catalin V Rusuمشاهده پروفایل

مدرس

• Modeling large-scale biologically inspired microcircuits
• Data mining and knowledge discovery
• Probabilistic planning and reinforcement learning
• +۳ مورد دیگر

Lecturer Catalin V Rusu is a faculty member at the Transylvanian Institute of Neuroscience (TINS) , where he directs the Applied Computational Intelligence Laboratory . His research spans biologically inspired neural systems , spiking neural networks , and machine learning applications in structural diagnostics . Rusu teaches courses like Advanced Programming Methods and Object-Oriented Programming . Research Interests Modeling cortical microcircuits and self-organizing neural systems Spiking neural networks for autonomous robotics (ROBBY framework) Damage detection in beam structures using frequency shifts and ML Predictive modeling for student attention and academic progress Probabilistic planning and reinforcement learning Teaching Requirements Students must bring laptops with Java/Python environments (JDK 8+/Python3) and IDEs (IntelliJ/PyCharm) Git setup required for collaborative coding sessions Hands-on sessions with extended durations (100 minutes with breaks) Contact Transylvanian Institute of Neuroscience (TINS) Str. Ploiești 33, Cluj-Napoca, Romania Email: rusu@bet-you-can-guess-it.much-obvious-very-wow

Tiberiu Dinu Teodorescuمشاهده پروفایل

استاد

• Sensors and Actuators
• Fuzzy Logic Systems
• Speech Technology
• +۳ مورد دیگر

Prof. Tiberiu Dinu Teodorescu is a faculty member at the Department of Electronics and Telecommunications, Technical University of Iași (TUIASI). His research focuses on interdisciplinary areas including sensor technology, fuzzy logic systems, speech analysis, IoT applications, and medical engineering. He leads a research group specializing in advanced sensor design, signal processing, and resilience engineering for critical infrastructure. His work integrates theoretical models with practical implementations in fields such as biomedical sensors, disaster management systems, and smart embedded systems. Education & Academic Background: Holds a doctoral degree (dr. ing.) in Electronics Engineering, with his thesis titled *Contributions to the Study of Cellular Neural Networks*. His academic advisor was Prof. Liviu Goras. Research Interests: Prof. Teodorescu’s work spans multiple domains: Sensor Technology: Design of capacitive, pressure, and wearable sensors with applications in healthcare and industrial monitoring. Fuzzy Logic & Systems: Development of neuro-fuzzy algorithms for medical diagnostics and system optimization. Disaster Resilience: Analyzing network resilience through probabilistic models and social media analytics. Speech Technology: Investigating formant correlations in emotional speech and clinical speech impairments. Publications: Over 50 peer-reviewed articles since 2017, focusing on interdisciplinary engineering and data science challenges. Recent work includes studies on electromagnetic compatibility in circuits, blockchain-enhanced IoT systems, and Zipf’s law applications in text analysis. Labs & Teams: Leads the Sensors and Embedded Systems Lab at TUIASI, collaborating with industry partners on wearable medical devices and smart sensor networks.

Lehel Csatóمشاهده پروفایل

استاد

• Machine Learning
• Probabilistic Robotics
• Data Analysis
• +۴ مورد دیگر

Lehel Csató is a Professor at the Faculty of Mathematics and Informatics of Babeș-Bolyai University in Cluj-Napoca, Romania. His academic journey includes a PhD from Aston University and a postdoctoral position at the Max Planck Institute for Biological Cybernetics. He specializes in Machine Learning, Probabilistic Robotics, and Nonparametric Bayesian Methods, with a focus on Gaussian Processes and their applications in data analysis and robotics. Teaching includes courses in Logic and Functional Programming (Hungarian), Numerical Modelling in Data Analysis (English), and Artificial Intelligence (Hungarian). His research emphasizes sparse Gaussian Process approximations and their use in reinforcement learning, robotics, and medical image analysis. He contributed to the development of the Sparse Online Gaussian Process toolbox. Publications span topics from deep learning architectures to optimization techniques in neural networks. He has organized the ClujUAV drone navigation competition and collaborated on interdisciplinary projects involving robotics, vision, and medical data analysis.