Special Interview with Prof. Witold Pedrycz
On Jul 29, 2024, the Editorial Office of Complex Engineering Systems (CES) conducted an interview with Prof. Witold Pedrycz of the University of Alberta, Canada.
Prof. Pedrycz highlighted current research topics in artificial intelligence and machine learning, particularly knowledge-oriented machine learning and granular computing. He highlighted challenges in data processing, including issues with incomplete or manipulated data, and emphasized the importance of knowledge representation and computational sustainability. Key concerns were raised about the accessibility of large-scale computing resources for academic research and the need for smarter approaches like transfer learning. The interview also addressed the importance of originality and quality in academic publishing, stressing well-written and logically structured papers. Overall, the interview underscored the need for critical thinking in AI research, avoiding blind trends, and focusing on fundamental understanding and practical applications.
Watch the following video for expert insights from Prof. Witold Pedrycz:
Interview Questions:
Q1. Please introduce yourself and research interests to our readers.
Q2. Could you explain the main challenges you encountered while mining and fusing knowledge from data?
Q3. What future directions or emerging trends in your research areas are you particularly excited about?
Q4. Do you have any advice for young researchers in the field of computational intelligence?
Q5. As a member of the Advisory Board of CES, what are your suggestions and expectations for our journal?
About Prof. Witold Pedrycz:
Prof. Witold Pedrycz is the Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. In 2012 he was elected a Fellow of the Royal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. His main research directions involve computational intelligence, fuzzy modeling and granular computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He is also an author of 18 research monographs and edited volumes covering various aspects of computational intelligence, data mining, and software engineering. Dr. Pedrycz is vigorously involved in editorial activities. He is the Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery, and Co-Editor-in-Chief of Int. J. of Granular Computing, and J. of Data Information and Management. He serves on the Advisory Board of IEEE Transactions on Fuzzy Systems and Complex Engineering Systems.
Editor: Yoyo Bai
Production Editor: Ting Xu
Respectfully Submitted by the Editorial Office of Complex Engineering Systems
