Michael Beck

Michael Beck is an Assistant Professor in the Department of Data Analytics at the University of Winnipeg, specializing in machine learning, stochastic network calculus, and digital agriculture. He holds a Master's in Mathematics (Probability Theory) and a Doctorate in Computer Science from the University of Kaiserslautern, Germany. His postdoctoral research spanned institutions including the City University of Hong Kong and the University of Manitoba.

Research Interests:

• Data acquisition strategies for machine learning models
• Digital agriculture innovations including automated plant analysis
• Microplastic analysis through deep learning and embedded systems
• Stochastic network calculus for queueing system analysis

Publications span machine learning applications in agriculture, network performance analysis, and embedded systems design. Notable achievements include the Best Paper Award (2016) and contributions to open datasets like the weed seedling image collection.

He supervises graduate students in machine learning and network calculus, teaches courses such as Advanced Internet Programming and Operations Research, and collaborates on projects like the TeraByte initiative for agricultural data.