MatrixSpec Solutions
Duc-Hoa T. is an experienced machine learning software engineer currently leading software development and data preparation at MatrixSpec Solutions, focusing on core algorithms for the agri-food industry. Previously, Duc-Hoa served as a postdoctoral fellow at École de technologie supérieure, researching speech signal processing and machine learning. At Polytechnique Montréal, as a research assistant, Duc-Hoa developed advanced architectures for microscopy image classification and unsupervised image clustering. During a tenure as a machine learning developer at Calixa, Duc-Hoa crafted deep learning models for personalized recommendations and deployed cloud-based services. Earlier roles included a research assistant position at Kyung Hee University, where Duc-Hoa worked on deep learning network optimization and FPGA-based emulators, and a biomedical engineer role at Cardiovascular Center - E Hospital, ensuring the functionality of medical equipment and supporting cardiac device implantations. Duc-Hoa holds a PhD in Computer and Software Engineering from Polytechnique Montréal and a Master's degree in Electrical and Electronics Engineering from Politecnico di Torino.
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MatrixSpec Solutions
Matrixspec is a global leader in hyperspectral imaging in the agri-food processing industry. Founded in 2014 and based on over ten years of state of the art research, MatrixSpec's patented technology uses imaging and artificial intelligence to assess the quality & safety level of processed foods as well as being able to provide previously undetectable features of various types of eggs, cuts of meat and other processed foods. Matrixspec's technology will massively reduce waste and increase productivity, quality and safety in the food processing industry. Mission Statement: MatrixSpec Solutions is a global game changer in the agri-food processing industry. We use our innovative and cutting edge artificial intelligence, machine learning imaging technology to provide non-destructive solutions for optimized and efficient processes, leading to superior quality and safety of products.