In 2002, the University established a branch campus in Silicon Valley to connect Carnegie Mellon’s many distinctive technology education programs to the innovative business community located in Silicon Valley and northern California. Carnegie Mellon Silicon Valley offers a variety of graduate degree programs designed to educate students to become leaders in global technology innovation and management. Each program provides the appropriate mix of technical, business, and organizational skills critical to successful career advancement. Together, the academic program and related research centers at Carnegie Mellon Silicon Valley reflect a distinctive mix of education characterized by the University’s ongoing focus on creating and implementing solutions for real problems.

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Submissions from 2014

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CROSSMobile: A Cross-Layer Architecture for Next-Generation Wireless Systems, Bob Iannucci, Patrick Tague, Ole J. Mengshoel, and Jason Lohn

Submissions from 2013

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Multi-Focus and Multi-Level Techniques for Visualization and Analysis of Networks with Thematic Data, Michele Cossalter, Ole J. Mengshoel, and Ted Selker

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A Novel Mating Approach for Genetic Algorithms, Severino Galan, Ole J. Mengshoel, and Rafael Pinter

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A Survivable Social Network, Bob Iannucci, Jonida Cali, Ryan Caney, and Stuart Kennedy

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Will We Connect Again? Machine Learning for Link Prediction in Mobile Social Networks, Ole J. Mengshoel, Raj Desai, Andrew Chen, and Brian Tran

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Adaptive Generalized Crowding for Genetic Algorithms, Ole J. Mengshoel, Severinio Galan, and Antonio de Dios

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Mobile Computing: Challenges and Opportunities for Autonomy and Feedback, Ole J. Mengshoel, Bob Iannucci, and Abe Ishihara

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SugarMap: Location-less Coverage for Micro-Aerial Sensing Swarms, Aveek Purohit, Zheng Sun, and Pei Zhang

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Adaptive Control of Apache Web Server, Erik Reed, Abe Ishihara, and Ole J. Mengshoel

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Software Health Management with Bayesian Networks, Johann Schumann, Timmy Mbaya, Ole J. Mengshoel, Knot Pipatsrisawat, Ashok Srivastava, Arthur Choi, and Adnan Darwiche

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Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems, Johann Schumann, Kristin Y. Rozier, Thomas Reinbacher, Ole J. Mengshoel, Timmy Mbaya, and Corey Ippolito

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State-based Monitoring and Goal-driven Project Steering: Field Study of the SEMAT Essence Framework, Todd Sedano and Cécile Péraire

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Career Advising Workshop Exercise for Software Engineers, Todd Sedano and Mikelynn Romero

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Multi-focus and Multi-window Techniques for Interactive Network Exploration, Priya K. Sundararajan, Ole J. Mengshoel, and Ted Selker

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Latent Topic Analysis for Predicting Group Purchasing Behavior on the Social Web, Feng-Tso Sun, Martin Griss, Ole J. Mengshoel, and Yi-Ting Yeh

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A Unified RGPS-Based Approach Supporting Service-Oriented Process Customization, Jian Wang; Zaiwen Feng; Jia Zhang; Patrick C,K. Hung; Keqing He; and Liang-Jie Zhang

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Community and Commercial Strategies in Open Source Software, Anthony Wasserman

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Service Oriented Solution Modeling and Variation Propagation Analysis based on Architectural Building Blocks, Liang-Jie Zhang and Jia Zhang

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Technical Architecture of Enabling Body of Knowledge System for Effective Learning and Information Dissemination, Liang-Jie Zhang and Jia Zhang

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Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing, Lu Zheng and Ole J. Mengshoel

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Optimizing Parallel Belief Propagation in Junction Trees using Regression, Lu Zheng and Ole J. Mengshoel

Submissions from 2012

Towards Scalable Evaluation of Mobile Applications through Crowdsourcing and Automation (CMU-CyLab-12-006), Shahriyar Amini, Jialiu Lin, Jason Hong, Joy Zhang, and Janne Lindqvist

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Changes in Transferable Knowledge Resulting from Study in a Graduate Software Engineering Curriculum, Ray Bareiss, Todd Sedano, and Ed Katz

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Accelerating Bayesian Network Parameter Learning Using Hadoop and MapReduce, Aniruddha Basak, Irina Brinster, Xianheng Ma, and Ole J. Mengshoel

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MapReduce for Bayesian Network Parameter Learning using the EM Algorithm, Aniruddha Basak, Irina Brinster, and Ole J. Mengshoel