جست‌وجوی استاد و پژوهشگر

• Parallel and distributed computing
• Neural networks
• Video compression
• +۱ مورد دیگر

Stepan Yuriyovych Skrupsky is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technology, Zaporizhzhya National Technical University (ZNTU). He graduated with honors in 2010 as a Master in Computer Systems and Networks and defended his PhD thesis on "Models and methods of video information compression in distributed computer systems" in 2013 at the Institute of Modeling Problems in Energy. His research focuses on parallel and distributed computing , neural networks , video compression , and artificial intelligence systems . He teaches disciplines such as Computer Architecture, Mobile Application Architecture, and Cloud Technologies. Education : Master in Computer Systems and Networks, ZNTU (2010) PhD Thesis : "Models and methods of video information compression in distributed computer systems" (2013) His scientific works explore parallel computing architectures for AI applications, including neuro-fuzzy models , Internet of Things infrastructure , and rule extraction methods . Publications span topics like big data reduction , medical diagnostics , and software-defined networks . He uses computational intelligence and stochastic optimization for distributed system design. Key trends in his research include parallelization of AI algorithms , resource-efficient distributed systems , and cross-domain applications from medicine to IoT. His articles appear in venues such as Radio Electronics, Computer Science, Control and Automatic Control and Computer Sciences .

Nicholas Evangelopoulosمشاهده پروفایل

دانشیار

• Latent Semantic Analysis
• Text Mining
• Information Systems
• +۳ مورد دیگر

Nicholas Evangelopoulos is an Associate Professor in the Information Technology and Decision Sciences department at the University of North Texas. His academic career spans over a decade with consistent research contributions in information systems and text mining methodologies. Dr. Evangelopoulos's research focuses on Latent Semantic Analysis (LSA) and its applications across various domains. His work bridges theoretical methodological developments with practical applications in areas including: Text mining and analysis of unstructured data Quality management and customer feedback analysis E-democracy and citizen engagement Information systems research methodology Sentiment analysis and public agenda setting His publication record from 2007-2014 demonstrates consistent scholarly output with a focus on methodological innovations in text analysis and their practical applications. Dr. Evangelopoulos has contributed to understanding how textual data can be leveraged for quality control, government decision support, and analyzing public discourse on social issues like human trafficking. Notable contributions include: Methodological improvements to Latent Semantic Analysis including orthogonal rotations Applications of text mining to e-democracy and citizen feedback analysis Integration of LSA with quality control methodologies Studies on research diversity within the information systems discipline Dr. Evangelopoulos frequently collaborates with researchers like Anna Sidorova, suggesting a collaborative research approach. His work demonstrates both theoretical contributions to methodology and practical applications across multiple domains, positioning him as a researcher who effectively bridges academic theory with real-world problems.

Emil Pricopمشاهده پروفایل

دانشیار

• Cybersecurity
• Biometric Identification
• Internet of Things
• +۵ مورد دیگر

Dr. Emil Pricop serves as an Associate Professor in the Department of Automation, Computers and Electronics at the University of Petroleum and Gas of Ploiești. His academic credentials include a PhD in Systems Engineering (awarded summa cum laude ), complemented by extensive industry experience in IT infrastructure and security consulting. Research Focus: His work spans critical areas of modern technology including cybersecurity frameworks, biometric identification systems, IoT architectures, and cloud computing security. He integrates machine learning for threat detection and pioneers human-computer interaction models. This interdisciplinary approach bridges hardware security and intelligent software solutions. Awards & Innovations: Patent RO 123364 B1 (2011): Biometric RFID card authentication system Patent RO 129740 B1 (2016): Counter-terrorism airport defense system UEFISCDI Award (PRECBVT-2017) for exceptional patented research Professional Service: As Vice President of IEEE Young Professionals Romania, he actively shapes engineering communities. He founded the International Workshop on Systems Safety & Security (IWSSS) and edits the JEEECCS journal. His IEEE leadership includes former Secretary of the SMC Technical Committee on Systems Safety & Security. Teaching: Coordinates courses in Computer Networks, Software Engineering, and Human-Computer Interaction, emphasizing practical labs for industrial control systems and programmable hardware.