Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications

• #1. Data Engineering for the Factory of the Future: From Factory Floor to the Cloud – Part 1: Performance Evaluation of State-of-the-Art Data Formats for Time Series Applications
• #2. Data Engineering for the Factory of the Future, Multimedia Applications and Cyber-Physical Systems: Part 2 – Algorithms and Python-Based Software Development for Time-Series Data Format Conversion
• #3. Deep Learning-Based Industrial Fault Diagnosis Using Induction Motor Bearing Signals
• #4. Next-Generation Industrial Robotics: An Overview
• #5. A Review of Big Data Analytics for the Internet of Things Applications in Supply Chain Management
• #6. Cognitive Load Measurement Based on EEG Signals
• #7. A Study on Deep Learning Methods in the Concept of Industry 4.0
• #8. Smart Manufacturing: Post-Pandemic and Future Trends
• #9. Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation
• #10. Nonlinear Filtering Methods in Conditions of Uncertainty

Emmanuel A. Oyekanlu (Member, IEEE) received the B.Tech. degree from the Ladoke Akintola University of Technology, Nigeria, in 2004, the M.Sc. degree in telecommunications from the Blekinge Institute of Technology (BTH), Karlskrona, Sweden, in 2009, the M.Sc. degree in signal processing and the third M.Sc. degree in electrical engineering from BTH, in 2010 and 2011, respectively, and the Ph.D. degree in electrical engineering from Drexel University, Philadelphia, PA, USA, in 2018.,In 2016, he became certified as a Data Scientist by the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. He also holds a Diploma in Leadership Principles from Harvard University, Cambridge, MA, USA, since May 2020. From 2014 to 2018, he was a Research Fellow with the Electrical Engineering Department, Drexel University, Philadelphia, PA, USA, where he was an Adjunct Professor with the Physics Department in 2018. In early 2019, he joined Comcast, Philadelphia, PA, USA, as a Data Science and Artificial Intelligence Engineer. Since late 2019, he has been with Corning Inc., New York, NY, USA, in the position of Smart Manufacturing, Software, Systems, and Industrial IoT Engineer. He is the author of a book chapter in the area of artificial intelligence integration in complex engineering systems. He also has several peer-reviewed conference and journal publications. His technical interests include software engineering for complex systems, artificial intelligence integration in large systems, embedded machine learning, data science applications in engineering systems, 5G, smart manufacturing, as well as in-building networks and Industrial IoT. In 2016, he was a member of a team assembled by the U.S. Department of Energy (DOE) to design an R&D roadmap for transforming the U.S. electrical power system into a smart grid.,Dr. Oyekanlu is a member of the prestigious Electrical Engineering honors society—Eta Kappa Nu (HKN) and the prestigious Engineers honors society—Tau Beta Pi. He is an Editorial Board Member of the IEEE HKN Magazine and has served on the technical committees of the IEEE workshops and conferences.(Based on document published on 3 November 2020).Show Less