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• Artificial Intelligence
• Artificial Neural Networks
• Information Systems
• +3 more

Konstantin Schekotihin is an Associate Professor at the Department of Artificial Intelligence and Cybersecurity, Alpen-Adria University of Klagenfurt. His research focuses on artificial intelligence, machine learning, and semantic technologies with applications in industrial systems and semiconductor manufacturing. Reinforcement learning for industrial scheduling Answer Set Programming (ASP) and stream reasoning Failure analysis automation and ontology engineering Neuro-symbolic AI integration Knowledge-based systems in manufacturing Recent publications emphasize AI-driven optimization in semiconductor production, decomposition strategies for scheduling problems, and multi-agent systems for workflow management. His work combines symbolic reasoning with machine learning to address complex industrial challenges. Contact: Konstantin.Schekotihin@aau.at

Viorel GrigorceaView profile

Senior Lecturer

• Artificial Intelligence
• Case-Based Reasoning
• Programming Technologies
• +3 more

Viorel Grigorcea is a Senior Lecturer at the Department of Computer Science within the Faculty of Mathematics and Informatics at the University of State of Moldova (USM). He has been with USM since 1997, becoming a senior lecturer by competition in 2002, and has served as Vice-Dean of the Faculty of Mathematics and Informatics since that same year. His academic journey began with a Bachelor's degree in Applied Mathematics from USM (1991-1996), followed by a Doctorate in Computer Programming from the Institute of Mathematics and Informatics of the Romanian Academy of Sciences (1996-1999). His teaching portfolio includes a comprehensive range of computer science courses: Artificial Intelligence Logic Programming Functional Programming Object-Oriented Programming Programming Fundamentals Programming Techniques Computer Architecture Operating Systems Expert Systems Grigorcea's research has evolved over time, with early work focusing on analogical reasoning, case-based reasoning, and attribute modeling in artificial intelligence systems. In recent years, his research has expanded to include educational assessment, particularly evaluating school results and basic skills of primary and secondary school graduates in Mathematics, Romanian, and Russian. His scientific activity includes continuous collaboration since 2001 on the institutional project 'Research and development of theoretical and practical aspects of modern programming technologies,' building on his earlier work in artificial intelligence systems. Grigorcea is associated with the Web Programming Section at USM, reflecting his engagement with practical programming technologies and applications.

Yan WangView profile

Associate Professor

• Graph Theory
• Combinatorics
• Number Theory
• +3 more

Yan Wang serves as Associate Professor of Mathematics and Computer Science and Pre-Engineering Advisor at Millsaps College. He teaches objective, practical courses across mathematics and computer science while fostering independent problem-solving skills among students, with contact details including email wangy@millsapsdev.wpengine.com and phone 601.974.1382. Education: Ph.D. in Applied Mathematics, University of Alabama in Huntsville, 2005 His research centers on Graph Theory—a mathematical representation of relational structures—and Combinatorics, with significant contributions to discrete mathematics. He actively explores connections between theoretical constructs and practical applications, particularly in number-theoretic domains. His recent 2023 publication examines Fibonacci-Prime number relationships, reflecting sustained engagement with combinatorial number theory and analytical approaches to integer sequences. Awards: Richard A. Smith Award for Excellence in Scholarship or Creative Work, Millsaps College, April 2013 Professor Wang excels in mathematical pedagogy, frequently receiving feedback from students who overcome math anxiety to declare they 'can do math' after his courses. As Pre-Engineering Advisor, he guides students through foundational coursework while emphasizing conceptual understanding over rote memorization.