The 2023 annual Computing-Mines Affiliates Partnership Program (C-MAPP) event was held in Student Center at Colorado School of Mines. Four MInDS@Mines students presented their researches to the industry partners of Mines and communicated with them in the event.

Nine MInDS@Mines students presented their researches to industry leaders at the annual Computing-Mines Affiliates Partnership Program (C-MAPP) event held in Friedhoff Hall of Colorado School of Mines.

This year four students (Lauren Zoe Baker, Kane Bruce, Lucia Saldana Barco, Braedon O’Callaghan) from the MInDS@Mines lab presented their research project during the 2021 Virtual Undergraduate Research Symposium. The presentations were open to the public for comment from April 19th-23rd, 2021 and have been archived online.

Kane Bruce, an undergraduate student researcher in the MInDS@Mines team, has been awarded as Undergraduate Research Scholar Distinction in Spring 2021 for his research on Lofting: Estimating Mineral Distribution with Convolutional GAN Models. Kane has devoted himself to this research over the past year and has made significant research contributions to our team.

Carla Ellefsen, a senior at Lakewood High School, won an Aspirations in Computing Award from the NCWIT Colorado Affiliate for her research in multiple-instance learning applied to natural-scene and biomedical imaging data during Summer 2020.

The award was presented at the annual NCWIT Colorado Aspirations in Computing Award Ceremony held virtually at the Colorado School of Mines on February 27, 2021. Congratulations, Carla!

Four undergraduate and five graduate students presented their research at the virtual Computing-Mines Affiliates Partnership Program (C-MAPP).

PhD candidate Lodewijk Brand won the poster competition (out of twenty-three posters) for his research on COVID-19 clinical outcome prediction.

PhD candidate Lodewijk Brand, and two undergraduate students Braedon O’Callaghan and Anthony Sun received a “Best Paper” award for their paper at the 20th Annual BioInformatics and Bioengineering (BIBE) conference. The work was presented virtually on Tuesday, October 27, 2020.

This is the first coauthored paper for both Braedon and Anthony with the MInDS@Mines team. Congratulations!

We’re very excited to announce that Lauren Zoe Baker, an undergraduate researcher with the MInDS@Mines team, has been awarded the prestigious Goldwater scholarship! Zoe has been working with our team for over a year and has shown tremendous promise. Receiving the Goldwater scholarship is further proof of her abilities and achievements.

Eleven MInDS@Mines students presented their research to industry leaders at the annual Computing-Mines Affiliates Partnership Program (C-MAPP) event in Golden, Colorado.

This year’s event was held in the newly renovated Friedhoff Hall in Green Center.

Lyujian Lu has recently had his paper, “Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments”, accepted into the proceedings of the 34th annual AAAI conference, AAAI 2020.

We’d also like to highlight Lauren Zoe Baker who is an undergraduate student who worked on this research. This is her second publication.

Lodewijk Brand’s new journal publication, titled “Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction”, has recently been accepted into the IEEE Transactions on Medical Imaging. This work is an extension of the conference version presented at the Medical Image Computing and Computer Assisted Intervention (MICCAI 2018).

Lodewijk Brand and undergraduate research student Kai Nichols recently had their paper, “Predicting Longitudinal Outcomes of Alzheimer’s Disease via a Tensor-based Joint Classification and Regression Model,” accepted into the Pacific Symposium on Biocomputing.

Lyujian Lu and Saad Elbeleidy and Zoe Baker have recently had their paper, “Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions,” accepted into the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019).

Two members of the MInDS@Mines team were awarded Outstanding Research Awards earlier in the year. Kai Liu received the Outstanding Graduate Student Research Award and Kai Nichols received the Outstanding Undergraduate Student Research Award.

Kai Liu has accepted an offer from Clemson University. He will join the Computer Science Division as a tenure-track Assistant Professor starting August 2019. Kai started his PhD. in August 2014 and is the first PhD. student to graduate under Dr. Wang’s supervision.

Kai Liu and Lodewijk Brand have recently had their paper, “Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L2,1-Norm Distances”, accepted into the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).

Haoxuan Yang and Kai Liu have recently had their paper, “Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method,” accepted into the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).

Zoe Baker and Madeline McKune, two undergraduate student researchers on the MInDS team, presented their work on effective visualization of machine learning results at the annual Undergraduate Research Symposium at CoorsTek.

The MInDS@Mines team is excited to announce that we will be offering a hands-on short course focused on applications in machine learning: Machine Learning in Practice. The course will be held on June 10th-14th at the Catalyst Tech Center located in the RiNo neighborhood in Denver. We designed Machine Learning in Practice for folks in industry and research who are looking to apply machine learning to their work.

Kai Liu has recently had his paper, “Spherical Principal Component Analysis,” accepted into SIAM International Conference on Data Mining SDM‘19.

Ten MInDS students (Arun Arunachalam, Zoe Baker, Lodewijk Brand, Saad Elbeleidy, Kai Liu, Lyujian Lu, Madeline McKune, Matthew Miller, Kai Nichols, and Haoxuan Yang) presented their research to industry leaders at the annual Computing-Mines Affiliates Partnership Program (C-MAPP) event in Golden, Colorado.

Current MInDS graduate students Lodewijk Brand, Kai Liu, and Saad Elbeleidy recently had their paper, “Learning Robust Multi-Label Sample Specific Distances,” accepted to appear in the Proceedings of the 23rd Annual International Conference on Research in Computational Molecular Biology (RECOMB 2019), Washington, D.C.

Kai Liu has recently had his paper, “Visual Place Recognition via Robust L2-Norm Distance Based Holism and Landmark Integration,” accepted into the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).

Lodewijk Brand has recently been accepted to participate in the Science, Mathematics And Research for Transformation (SMART) Scholarship for Service Program. This program will provide full funding and a stipend for the remainder of his PhD studies. Read the official announcement.

Fei Han has recently had his paper, Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy, accepted into the IEEE Robotics and Automation Letters.

Kai Liu has recently had his paper, “High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization,” accepted into the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018).

Lodewijk Brand has recently had his paper, “Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease,” accepted into the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference in 2018.

We’d like to announce the formal creation of the MInDS @ Mines group website. We have been conducting research for a few years now and we are now formalizing this research under the MInDS @ Mines brand. You’ll find our members listed on our people page and our research and publications on our publications page. Our research interests focus on the applications of Machine Learning and Data Science to Informatics. A more detailed description of our research areas can be found on our research page.