I got my PhD degree in Industrial and Systems Engineering with a minor in Computational Science from The University of Tennessee, Knoxville. I also earned my Master's degree in Statistics and Data Science from Haslam College of Business, The University of Tennessee. Prior to my PhD, I completed my Master's and Bachelor's degrees in Industrial Engineering and Management Systems at Amirkabir University of Technology (Tehran Polytechnic), where I worked as a Graduate Research Assistant in the Computational Intelligence Lab under the supervision of Prof. MH Fazel Zarandi. Here is my CV.
Tickle College of Engineering, The University of Tennessee, Knoxville, USA
Haslam College of Business, The University of Tennessee, Knoxville, USA
Amirkabir University of Technology, Iran
Amirkabir University of Technology, Iran
Developed and applied unsupervised machine learning algorithms to score the risks and detect high-risk branches within a high-dimensional risk-based dataset.
Provided analytical insights of the outcomes to control and mitigate the risk of branches.
Developed an adaptive data-driven kernel for blind image deblurring. It explicitly formulates the structure of the underlying kernel where the structure itself is adaptive to data, which enables modeling nearly non-parametric shape of blurriness. The proposed structure outperforms the recent ones when applied on the satellite images.
Designed a neural network-based metamodel to optimize the uncertainty supply chain problem in a robust manner. The novel experimental design restricts solution space while maintains the essential supply control parameters and has less computational cost. The proposed approach can be implemented in commercial softwares for real-time decision-making strategies.
Mentored students to proceed their data mining, image processing, and NLP projects.
Conducted office hours to teach python programming and solved their issues.
My primary interests lie at the intersection of Statistics, Machine Learning and Operations Research, specialized in Pattern Recognition and Deep Learning. During my academic studies, I developed several machine learning techniques applied to healthcare image segmentation, remote sensing images, data-driven healthcare systems, distributed systems, and supply chain management applications.
Publications:
Sajjad A.Biyouk, H Hwangbo. “A Comprehensive Survey on Deep Neural Image Deblurring”.Preprint submitted to Pattern Recognition Journal, 2023
SME Sharifnia, Sajjad A.Biyouk, R Sawhney, H Hwangbo. “Robust Simulation Optimization for Supply Chain Problem under Uncertainty via Neural Network Metamodeling”.Computers & Industrial Engineering, 2021
Sajjad A.Biyouk, H Hwangbo. “Blind Image Deblurring based on Kernel Mixture”.Preprint arXiv:2101.06241, 2021
Sajjad A.Biyouk, IB Turksen, MH Fazel Zarandi. “Fuzzy rule-based expert system for diagnosis of thyroid disease”. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015.
