The mission of the Computer Engineering Department is to graduate students of competence, conscience, and compassion, who are prepared to excel in the field of computing, whether their objective is to enter the workforce or to continue for advanced studies. Our programs combine the theoretical foundations of computing with the practical engineering knowledge vital to industry, to provide a broad and integrated curriculum. At the graduate level, the department provides advanced and specialized education in computing, offered in formats that meet the needs of both working professionals and full-time students. The Ph.D. program equips students with the ability to advance the state of knowledge in their specialty area. As faculty, we continually strive to contribute to the advancement of the field of computing through our scholarly activities and those of our students.

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Submissions from 2019

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Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems, David Anastasiu, Huzefa Rangwala, and Andrea Tagarelli

Submissions from 2018

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Teaching With Jupyter In-Class Activities: Lessons Learned and Next Steps, David Anastasiu

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Patient Friendly Kidney Function Screening, Ragwa El Sayed, Rathna Ramesh, Alessandro Bellofiore, David Anastasiu, and Melinda Simon

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Vehicle Tracking and Speed Estimation from Traffic Videos, Shuai Hua, Manika Kapoor, and David Anastasiu

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A Data-Driven Approach For Detecting Autism Spectrum Disorders, Manika Kapoor and David Anastasiu

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The 2018 NVIDIA AI City Challenge, Milind Naphade, Ming-Ching Chang, Anuj Sharma, David Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, and Siwei Lyu

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Best Trade-Off Point Method for Efficient Resource Provisioning in Spark, Peter P. Nghiem

Submissions from 2017

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Efficient Neighborhood Graph Construction for Sparse High Dimensional Data, David Anastasiu

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Efficient identification of Tanimoto nearest neighbors; All Pairs Similarity Search Using the Extended Jaccard Coefficient, David Anastasiu and George Karypis

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Parallel Cosine Nearest Neighbor Graph Construction, David Anastasiu and George Karypis

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Document Clustering, David Anastasiu and Andrea Tagarelli

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Robust classification of city roadway objects for traffic related applications, Niveditha Bhandary, Charles MacKay, Alex Richards, Ji Tong, and David Anastasiu

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Optimal constrained wireless emergency network antenna placement, Swapnil Gaikwad and David Anastasiu

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The NVIDIA AI City Challenge, Milind Naphade, David Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, and Zeyu Gao

Submissions from 2016

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Towards efficient resource provisioning in MapReduce, Peter Nghiem and Silvia M. Figueira

Submissions from 1979

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A Review of Approaches to Teaching FORTRAN, Daniel W. Lewis

Submissions from 1978

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An Approach to a Modest Digital Laboratory Adjunct forLogic Design Courses, Glen G. Langdon Jr. and Daniel W. Lewis