Industrial Internship Projects
For students interested in the application of mathematics in industry, summer (or part-time) internships are highly recommended. During the internship, students work under the guidance of industry mentors at top corporate research facilities around the country. We view internship not so much as an off-campus summer (or part-time) job, but as a broadening experience central to our educational philosophy.
Many internships are arranged by MCIM and are awarded on a competitive basis. Students are also guided by their own search (see Resources for Internship Search). The application process begins in early fall and requires approvals by advisors. For students pursuing the MS degree with emphasis in Industrial and Applied Mathematics, internship is a requirement, and the research done during the internship should lead to a thesis topic. For students pursuing Ph.D. degree with emphasis in Applied and Industrial Mathematics, an internship is recommended. For students considering careers in industry, at least two internships are recommended. It is possible that the research done during the internship can become part of the student's thesis, or even the topic of the thesis.
Companies benefit from collaborative research through the internship program in two ways. First, it provides the company with resources, such as the student and the access to the university faculty, to carry out important research. Second, it provides the company with a pool of talented students with excellent background for future recruitment.
Many internships are arranged by MCIM and are awarded on a competitive basis. Students are also guided by their own search (see Resources for Internship Search). The application process begins in early fall and requires approvals by advisors. For students pursuing the MS degree with emphasis in Industrial and Applied Mathematics, internship is a requirement, and the research done during the internship should lead to a thesis topic. For students pursuing Ph.D. degree with emphasis in Applied and Industrial Mathematics, an internship is recommended. For students considering careers in industry, at least two internships are recommended. It is possible that the research done during the internship can become part of the student's thesis, or even the topic of the thesis.
Companies benefit from collaborative research through the internship program in two ways. First, it provides the company with resources, such as the student and the access to the university faculty, to carry out important research. Second, it provides the company with a pool of talented students with excellent background for future recruitment.
Industrial Internship Projects 1994 - Present
Company | Project | Student | Academic Advisor | Degree/Year | |
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Deep Learning on Knowledge Graphs - Summer 2020 | Shaohan Li | Gilad Lerman | PhD 2023 | |
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A Sequential Recommender System for Call of Duty's Online Store - Summer 2020 | Amber Yuan | Jeff Calder | PhD 2021 | |
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C++ Code Completion with NLP - Summer 2020 | Jacob Hegna | Tyler Lawson | PhD 2024 | |
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Detection of Similar Inputs in Supply Chain Simulation - Summer 2020 | Brendan Cook | Jeff Calder | PhD 2022 | |
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Machine Learning Models for Nuclear Reactions in Astrophysics - Summer 2020 | Ty Fraizer | Richard McGehee | PhD 2023 | |
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Pairs Trading Strategies - Fall 2019 | Sarah Milstein | Tyler Lawson |
PhD 2021 |
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Human Performance Optimization using Bayesian Networks - Summer 2020 | Sarah Milstein | Tyler Lawson |
PhD 2021 |
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Summer 2020 | Trevor Karn | Christopher Griffin |
PhD 2025 |
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Entity embeddings of categorical variables - Summer 2020 | Carter Chain | Jeff Calder |
PhD 2023 |
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Loren Anderson | Dr. Fadil Santosa |
PhD 2021 |
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Fintech Internship - Summer 2020 | Ziqi Zhou | Gilad Lerman |
BA 2020 |
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Adding suggestions and recommendations capabilities to an SDK - Summer 2020 | Ashmita Sarma |
BS 2021 |
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Basic strategy process - Summer 2020 | Tai Su | Clint Bueling |
BS 2021 |
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Reinforcement-Learning AI Development for Competitive Space-Based Games - Summer 2019 | Loren Anderson | Fadil Santosa |
PhD 2021 |
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Pattern Matching for Time Series - Summer 2019 | Amber Yuan | Jeff Calder | PhD 2021 | |
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Wind Speed Time Series Analysis - Summer 2019 | Cora Brown | Carme Calderer | PhD 2020 | |
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Bridge between cvxpy and Mathematica's optimization framework - Summer 2019 | Samuel Stewart | Vladimir Sverak | PhD 2020 | |
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Experience study - Summer 2019 | Xinrong You | Doreen Vescelius | BA 2019 | |
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Price prediction of commodities' - Summer 2019 | Somyi Baek | Dr. Richard McGehee | PhD 2020 | |
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Monte Carlo Analysis on Indexed Universal Life Insurance - Summer 2019 | Songyu Yan | Ian Ringgenberg | BSc 2020 | |
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California Database Management - Summer 2019 | Eric Stucky | Victor Reiner | PhD 2021 | |
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Private embeddings of images the context of deep metric learning - Summer 2019 | Michelle Pinharry | Ionut Ciocan-Fontanine | PhD 2020 | |
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Economic risk model for guaranteed asset protection insurance products - Summer 2019 | William (Ty) Frazier | Richard McGehee | PhD 2023 | |
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data science problems in finance - Summer 2019 | Cooper Zhao | Gilad Lerman | BA 2021 | |
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Computing Accuracy Metrics for Inventory Forecasting - Summer 2019 | Evan Skaja | Gilad Lerman | BSc 2020 | |
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Analysis of Operational Transit Data - Fall 2018 and Spring 2019 | Madeline Handschy | Giald Lerman |
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Personalized Recommender Systems - Summer 2018 | Mauricio Flores | Gilad Lerman, Jeff Calder |
PhD 2019 |
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CART Dose Selection - Summer 2018 | Marco Avila Ponce de Leon | Hans Othmer |
PhD 2019 |
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Building tools for Gaussian regression and meta-learning - Summer 2018 | Drisana Mosaphir | Ben Brubaker |
PhD 2019 |
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Making 3D Printing Faster and More Reliable - Summer 2018 | Austin Tuttle | Yoichiro Mori |
PhD |
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Binary Analysis - Summer 2018 | Loren Anderson | Gilad Lerman |
PhD 2021 |
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1. Analyze where and how persons with limited mobility use transit services. 2. Model transit network as a graph and do various analyses - Summer 2018 | Madeline Handschy | Gilad Lerman, Wei-Kuo Chen |
PhD 2019 |
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Building a CTR Model - Summer 2018 | Alex Gutierrez | Gilad Lerman |
PhD 2019 |
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Data Science for HPC - Summer 2018 | Ben Strasser | Ben Brubaker | PhD 2019 | |
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Seasonal analysis of historical volatility - Summer 2018 | George Fisk | Gilad Lerman | BS Mathematics and Computer Science 2019 | |
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Full Stack Software Development, created dashboard to monitor website deployment process - Summer 2018 | Nick Kanning | Nick Racz | B.S. Mathematics and Computer Science 2019 | |
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Performance Testing Application - Summer 2018 | Evan Skaja | Gilad Lerman | B.S. Mathematics and Computer Science 2020 | |
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Through-obstacle vitals detection - Summer 2018 | Adrienne Sands | Paul Garrett | PhD 2021 | |
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Verification of heat equation in FLAG - Summer 2018 | Cora Brown | Carme Calderer | PhD Math | |
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Private Label Products Targeting Campaign - Summer 2018 | Hieu Nguyen | Marcus Keel | BS Applied Mathematics, Computer Science, Statistics 2019 | |
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Summer 2018 | Sarah Milstein | PhD Math | ||
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Quantitative financial models - Summer 2017 | Lei Yuan | Fadil Santosa | PhD Math | |
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Summer 2017 | Lindsey Hiltner | Carme Calderer | PhD Math | |
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Summer 2017 | Alex Gutierrez | Gilad Lerman | PhD Math 2018 | |
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Logistic regression models for the optimization of space allocation in brick-and-mortar stores. - Summer 2017 | Mauricio Flores | Gilad Lerman | PhD 2019 | |
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Math and Science Libraries - Summer 2017 | Austin Tuttle | Yoichiro Mori | PhD Math 2019 | |
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Demand Forecasting - Summer 2017 | Tyler Maunu | Gilad Lerman | PhD Math 2018 | |
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Universal Life Illustration Tool Improvement - Summer 2017 |
Irene Luo | BA Math 2018 | ||
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1. Rare events classification & prediction |
Somyi Baek | Richard McGehee | PhD 2019 | |
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Stopless Insurance Pricing - Summer 2017 | George Fisk | Gilad Lerman | BS, Mathematics and Computer Science 2019 | |
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Summer 2017 | Nick Kanning | B.Sc. Math and Computer Science | ||
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Graphene optics for HPC spectral-element codes - Summer 2017 | Josh Wilson | Fadil Santosa | PhD 2018 | |
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Using Deep Learning to Generate DNA/Amino Acid Sequences - Summer 2017 | Amber Yuan | Jeff Calder | PhD 2021 | |
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Finite Element Methods for Two-Dimensional Neutron Transport - Summer 2017 | Hailee Peck | Hans Othmer | PhD 2021 | |
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Improving Dictionaries of Clinically Relevant Phrases - Summer 2016 | Brittany Baker | PhD 2018 | ||
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Optimizing Applications with Math and Scientific Libraries - Summer 2016 | Mike Loper | PhD 2020 | ||
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Sensor Analytics - Summer 2016 | Jon Hahn | Richard McGehee | PhD 2017 | |
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Assembling Biogeochemical Stocks and Fluxes in GFDL's ESMs - Summer 2016 | Alice Nadeau | Richard McGehee | PhD 2018 | |
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Summer 2016 | Paula Dassbach | Maria-Carme Calderer Douglas N. Arnold |
PhD 2017 | |
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Summer 2016 | Vahan Huroyan | Gilad Lerman | PhD 2018 | |
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Finite Element Methods for Two-Dimensional Neutron Transport - Summer 2016 | Hailee Peck | Hans Othmer | PhD 2021 | |
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Manufacturing Data Analytics - Summer 2016 | Jonathan Hill | Svitlana Mayboroda | PhD 2017 | |
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Palliative Care Prediction - Summer 2016 | Sarah Milstein | Richard McGehee | PhD 2021 | |
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Modeling Room-Temperature Magnetic Refrigeration - Summer 2016 | Trevor Steil | Daniel Spirn | PhD 2019 | |
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Anticipatory Analytics - Summer 2016 | Tyler Maunu | Gilad Lerman | PhD 2018 | |
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Volume Estimation of Tissue from Deep Brain Stimulation - Summer 2016 | Jiguang Shen | Bernardo Cockburn | PhD 2017 | |
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*Confidential* - Summer 2016 | Mauricio Flores | Bernardo Cockburn | PhD 2019 | |
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Deep Learning in Medical Image Processing - Summer 2016 | George Fisk | Gilad Lerman | BS 2019 | |
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Data Analysis - Summer 2016 | Xiaoyi Zhu | Gilad Lerman | BA 2016 | |
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Summer 2013 | Carlos-Andres Garavito-Garzon | |||
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Summer 2013 | Madeline Schrier | |||
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Micro-seismic Event Localization for Hydraulic Fracturing Applications, Summer 2012 | Alexandra Ortan | Fernando Reitich | ||
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Data Analysis and Algorithim Development for Medical Devices, Summer 2012 | Stephen McIntyre | Yoichiro Mori | ||
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3D Elastic forward Modeling, Summer 2011 | Vincent Quenneville-Belair | Bernardo Cockburn | ||
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Capital Market Solutions, Summer 2011 | Hyunsoo Doh | Nicolai Krylov | PhD 2012 | |
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Removing Artifacts in Compressed Images, Summer 2011 | Yi Wang | Gilad Lerman | PhD 2012 | |
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Learning Mental States from fMRI Data, Summer 2011 | Kyle Heuton | Gilad Lerman | BS 2012 | |
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A Stochastic approach to formation shear radial profiling ina fluid-filled borehole, Summer 2011 | Wenxiao Guo | Gilad Lerman | BS 2012 | |
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Pricing algorithms for advanced road transportation systems, Summer 2011 | Ben Segal | Gilad Lerman | BS 2011 | |
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Anisotropic Denoising Using Vessel Information, Summer 2010 | Kyle Heuton | Gilad Lerman | BS 2012 | |
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3D Acoustic Forward Modeling, Summer 2010 | Fanbin Bu | Fernando Reitich | PhD 2010 | |
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Hierarchical Real-Time Scheduling, 2010 | Rob Edman | Ezra Miller | ||
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Interferometry, Summer 2009 | Fanbin Bu | Fernando Reitich | PhD 2010 | |
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Assured Scalable Network Modeling and Analysis, 2009 | Rob Edman | Ezra Miller | ||
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Scattering in an Idealized Ear Canal, Summer 2009 | Alexandra Ortan | Fernando Reitich | ||
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Scattering in an Idealized Ear Canal, Summer 2009 | Vincent Quenneville-Belair | Bernardo Cockburn | ||
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Segmenting Blood Vessels and Atheroma Detection, Summer 2008 | Kyle Heuton | Gilad Lerman | BS 2012 | |
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Sustainability Evaluation and Analysis, 2008 | Yi Wang | Gilad Lerman | PhD 2011 | |
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Finance, 2008 | Ivan Merev | Bernardo Cockburn | PhD 2010 | |
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Lens Design, 2008 | Fanbin Bu | Fadil Santosa | PhD 2010 | |
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Cargill, 2008 | Zheng Tao | Scot Adams | MFM 2009 | |
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Finance, 2008 | Zhifang Li | Scot Adams | MFM 2009 | |
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Finance, 2008 | Vishal Kashyap | Scot Adams | MFM 2009 | |
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Finance, 2008 | Shouwen Xu | Scot Adams | MFM 2009 | |
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Finance, 2008 | Xiaoyi Zhu | Scot Adams | MFM 2009 | |
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Railraod Defect Detection, 2007 | Fanbin Bu | Fernando Reitich | PhD 2010 | |
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Railraod Defect Detection, 2007 | Kyle Heuton | Gilad Lerman | BS 2012 | |
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Statistical Data Analysis, 2007 | Deepa Mahajan (nee Gupta) | Fernando Reitich | PhD 2008 | |
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Elastodynamic Simulations, 2007 | Jiaqi Yang | Fernando Reitich | PhD 2008 | |
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Risk Modeling and Testing, 2007 | Fanhuan Zhou | Fadil Santosa | PhD 2009 | |
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Data Analysis and Risk Modeling, 2007 | Jose Orozco-Rodriguez | Fadil Santosa | PhD 2008 | |
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Image Processing, 2006 | Michael Aschenbeck | Fadil Santosa | PhD 2008 | |
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Flow Modeling, 2006 | Deepa Mahajan (nee Gupta) | Fernando Reitich | PhD 2007 | |
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Geophysics, 2006 | Haiying Wang | Bernardo Cockburn | PhD 2006 | |
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Finance, 2006 | Ivan Merev | Fernando Reitich | PhD 2009 | |
Alternative Strategy Advisors | Finance, 2006 | Juraj Huska | Peter Polacik | PhD 2007 | |
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Elastodynamics, 2006 | Jiaqi Yang | Fernando Reitich | PhD 2008 | |
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Cryptography, 2006 | Vishal Saraswat | Paul Garrett | PhD 2008 | |
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Data Analysis, 2006 | Matthew Deidrick | Harvey Keynes | MS 2008 | |
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Finance, 2006 | Christopher Bemis | Fadil Santosa | PhD 2007 | |
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Image Processing, 2005 | Joe Kenney | Peter Olver | PhD 2007 | |
Alternative Strategy Advisors | Mathematical Finance, 2005 | Maria Ponomarenko | Fadil Santosa | PhD 2006 | |
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Medical Imaging, 2005 | Jiaqi Yang | Fernando Reitich | PhD 2007 | |
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Electromagnetic Scattering, 2005 | Chong Hoong Leong | Fadil Santosa | MS 2006 | |
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Geophysics, 2005 | Haiying Wang | Bernardo Cockburn | PhD 2006 | |
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Data Analysis, 2005 | Guangliang Chen | Gilad Lerman | PhD 2007 | |
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Biomedical Engineering, 2005 | Viktoria Averina | Fadil Santosa | PhD 2007 | |
Minneapolis Consulting Group | Power Network Analysis, 2005 | Yanlai Chen | Bernardo Cockburn | PhD 2007 | |
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Data Analysiis, 2004 | Tara Rangarajan | Fadil Santosa | MS 2004 | |
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Laser Aerosol Scattering. 2004 | Thomas Hoft | PhD 2005 | ||
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Optimization, 2004 | Mariya Ponomarenko | Fadil Santosa | PhD 2005 | |
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Electromagnetics, 2004 | Akash Anand | Fernando Reitich | PhD 2005 | |
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Signal Processing, 2004 | Chuan Xue | Fadil Santosa | PhD 2007 | |
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Image Processing, 2004 | Todd Wittman | Fadil Santosa | PhD 2006 | |
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Image Processing, 2004 | Joseph Kenney | PhD 2007 | ||
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Materials Modeling, 2004 | Brandon Chabaud | M. Carme Calderer | PhD 2007 | |
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Materials Modeling, 2004 | Hang Zhang | M. Carme Calderer | PhD 2006 | |
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Optical Coating, 2003 | Deepa Mahajan (Gupta) | Fernando Reitich | PhD 2005 | |
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Brain Imaging, 2003 | Lisa Rassel | Fadil Santosa | MS 2004 | |
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Learning Theory, 2003 | Jian Zhang | Fadil Santosa | PhD 2004 | |
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Optimization, 2003 | Mariya Ponomarenko | Fadil Santosa | PhD 2005 | |
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Bio Informatics, 2003 | Suhas Saha | Claudia Neuhauser | MS 2004 | |
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Bio Informatics, 2003 | Stephanie Potoka | Claudia Neuhauser | MS 2004 | |
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Signal Processing, 2002 | Jinjun Xiao | Fadil Santosa | ||
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Bio Informatics, 2002 | Nicoleta Tafulea | Hans Othmer | PhD 2005 | |
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Optimization, 2002 | Mariya Ponomarenko | Fadil Santosa | PhD 2005 | |
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Electromagnetics Modeling, 2002 | Shengde Liang | Mitch Luskin | PhD 2005 | |
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Image Processing, 2002 | Bayram Yenikaya | Bernardo Cockburn | PhD 2004 | |
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Brain Imaging, 2002 | Yongwu Shao | Mitch Luskin | PhD 2005 | |
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Robust Optimal Design, 2001 | Thomas Hoft | Fadil Santosa | MS 2002 | |
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Fiber Device Modeling, 2001 | Paul Macklin | John Lowengrub | MS 2003 | |
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Physical Chemistry of Polymers, 2001 | Miriam Freedman | Rachel Kuske | MS 2002 | |
BMC Vision Ease | Design Problems in Optics, 2001 | Jian Zhang | Fadil Santosa | PhD 2004 | |
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Optimization in Window Manufacturing, 2001 | Anton Leykin | Gennady Lyubeznik | PhD 2003 | |
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Fiber Optics Communication, 2001 | Oleg Aleksandrov | Fadil Santosa | PhD 2003 | |
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Fiber Optics Communication, 2001 | YoungAe Han | Fernando Reitich | PhD 2004 | |
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Optimization in Marking | Yongwu Shao | Rachel Kuske | ||
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Laser Modeling, 2001 | Todd Wittman | Fadil Santosa | MS 1999 PhD 2005 |
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Minimax Optimization, 2001 | Grant Erdman | Fadil Santosa | PhD 2003 | |
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Barcode Decoding, 2001 | Kevin Collins | Fadil Santosa | MS 2002 PhD 2004 |
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Computer Performance Analysis, 2001 | Akash Anand | Fernando Reitich | PhD 2005 | |
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Image Processing, 2001 | Bayram Yenikaya | Bernardo Cockburn | PhD 2004 | |
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Fiber Bragg Gratings & Cladding Mode Coupling Loss, 2000 | Paul Macklin | John Lowengrub | MS 2003 | |
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Electromagnetic Waves, 2000 | Oleg Alexandrov | Fadil Santosa | PhD 2002 | |
BMC Vision Ease | Mathematics of Optical Lenses, 2000 | Jing Wang | Fadil Santosa | PhD 2002 | |
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Wavelet Selection for Classifying Rattles, 2000 | Kevin Collins | Fadil Santosa | MS 2002 | |
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Optimization, 2000 | Grant Erdmann | Fadil Santosa | PhD 2003 | |
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Probability Simulation, 2000 | Bill Johnston | Fadil Santosa | MS 2002 | |
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Adaptive Algorithms for Value-at-Risk Approximations,1999 |
Nataliya Kerbel | Rachel Kuske | MS 2001 | |
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Detection & Classification of EKG Signals, 1999 | Kevin Collins | Fadil Santosa | MS 2002 | |
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Pattern Recognition, 1999 | Jinzhu Yu | Fadil Santosa | MS 2002 | |
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Pre-Conditioned Iterative Methods for Parabolic Equations, 1999 | Stephen Whalen | Mitch Luskin | PhD 2005 | |
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3-D Imaging, 1999 | Sam Peterson | Victor Reiner | MS 2002 | |
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Inverse Problem in Electromagnetics, 1999 | Pavel Belik | Mitch Luskin | PhD 2001 | |
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Magnetic Recording, 1999 | Jonathan Marshall | Fadil Santosa | MS 2001 | |
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Stochastic Method for Optim. of Vector Functions, 1999 | Grant Erdmann | Fadil Santosa | PhD 2003 | |
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Comparison of Numerical Methods for Structural Analysis, 1998 | Michael Lee | Fadil Santosa | ||
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Queueing Theory for Cell Phones, 1998 | Yiju Chao | Nicolai Krylov | MS 1998 PhD 1999 |
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Modeling of MR Head, 1998 | Jonathan Marshall | Fadil Santosa | MS 2001 | |
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Analysis of Air Pollution, 1998 | Svetlana Rudnaya | Fadil Santosa | PhD 1999 | |
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Research in Fiber Optics, 1998 | Gerardo Ortigoza | Fernando Reitich | MS 1996 PhD 2002 |
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Data Fusion, 1998 | Martin O'Hely | Claudia Neuhauser | PhD 2000 | |
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Model of Electrodeposition, 1998 | Irina Mitrea | Fadil Santosa | MS 2000 | |
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Development of Vision System, 1998 | Luis Yunes | Fadil Santosa | MS 2002 | |
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3-D Models from 2-D Images, 1997 | Jennifer Treadway | Peter Olver | MS 1998 | |
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Optimal Pricing from Checks, 1997 | Ryan Rengo | Kathryn E. Lenz | MS 1996 | |
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Data Fusion, 1997 | Luis Roman | John Baxter | PhD 2002 | |
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Pattern Recognition for RR Maintenance, 1997 | Todd Wittman | Fadil Santosa | MS 1999 | |
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Coating Flow in Fiber Optics Manufacturing, 1997 | Samuel Albert | Bernardo Cockburn | MS 1998 PhD 2000 |
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Cardiac Analysis, 1997 | Yiju Chao | Nicolai Krylov | PhD 1999 | |
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Mechanism of Wireleads, 1997 | Xin Yan | Fadil Santosa | MS 1998 | |
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Optimal Design in Optics, 1996 | Svetlana Rudnaya | Fadil Santosa | MS 1997
PhD 1999 |
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Pursuer Algorithm, 1996 | Scott Shald | Avner Friedman | MS 1997 PhD 1999 |
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Detection, Filtering and Tracking Algorithm, 1996 | Aleksandar Zatezalo | Nicolai Krylov | MS 1997 PhD 1998 |
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Flow in a Blood Pump, 1996 | Julia Liakhova | Mitch Luskin | MS 1997 PhD 2000 |
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Calibration of Microaccelerometer, 1996 | Osvaldo Mendez | Fadil Santosa | PhD 1998 | |
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Electromagnetics in Borehole, 1996 | Xiangrong Yang | Bernardo Cockburn | MS 1997 PhD 1999 |
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Visualization Tool for Internet Traffic Data, 1996 | Rosabel Hernandez | Richard McGehee | MS 1997 | |
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Auto Antenna Acoustics, 1995 | Feng-Tai Hwang | Avner Friedman | MS 1996 | |
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Sensor Management, 1995 | Troy Jenison | Fadil Santosa, Avner Friedman |
MS 1996 | |
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Dynamics of Magnetic Tape, 1995 | Monica Lluis | Walter Littman | MS 1996 | |
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Optimal Booster Ascent, 1994 | Sarita Kinney | Richard McGehee, Avner Friedman |
MS 1995 | |
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Analysis of Mechanisms, 1994 | Stephen Nelson | Avner Friedman | MS 1994 |