The School of Computing and Information Sciences was formed in 1987 from the former Department of Mathematical Sciences. The mission of the School has several dimensions, consistent with the overall mission of the University and consistent with its role as part of the College of Engineering and Computing.

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Faculty Publications from 2023

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Statistical and Machine Learning Analysis of the Human Brain Functional Network in a Multi-Site Resting-State Functional MRI Database Framework, Oswaldo Artiles and Fahad Saeed, Ed.

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High Performance Computing Algorithms for Accelerating Peptide Identification from Mass-Spectrometry Data Using Heterogeneous Supercomputers, Muhammad Haseeb and Fahad Saeed, Ed.

Faculty Publications from 2021

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High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry Data, Muhammad Haseeb and Fahad Saeed

Faculty Publications from 2019

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Auto-ASD-Network: A technique based on Deep Learning and Support Vector Machines for diagnosing Autism Spectrum Disorder using fMRI data, Taban Eslami and Fahad Saeed

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GPU-DFC: A GPU-based parallel algorithm for computing dynamic-functional connectivity of big fMRI data, Taban Eslami and Fahad Saeed

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LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry based Proteomics, Muhammad Haseeb, Fatima Afzali, and Fahad Saeed

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Novel Recommendation System for Tourist Spots Based on Hierarchical Sampling Statistics and SVD++, Guangli Li, Jin Hua, Tian Yuan, Jinpeng Wu, Hongbin Zhang, and Tao Li

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Dynamic interaction network inference from longitudinal microbiome data, Jose Lugo-Martinez, Daniel Ruiz-Perez, Giri Narasimhan, and Ziv Bar-Joseph

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ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare, Leandro Y. Mano, Vincicius A. Barros, Luiz H. Nunes, Luana O. Sawada, Julio C. Estrella, and Jo Ueyama

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An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises, Farid Ghareh Mohammadi, M. Hadi Amini, and Hamid R. Arabnia

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Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics, Farid Ghareh Mohammadi, M. Hadi Amini, and Hamid R. Arabnia

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Evolutionary Computation, Optimization and Learning Algorithms for Data Science, Farid Ghareh Mohammadi, M. Hadi Amini, and Hamid R. Arabnia

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Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis, Clara Penas, Maria E. Maloof, Vasileios Stathias, Jun Long, Sze Kiat Tan, Jose Mier, Yin Fang, Camilo Valdes, Jezabel Rodriguez-Blanco, Cheng-Ming Chiang, David J. Robbins, Daniel J. Liebl, Jae K. Lee, Mary E. Hatten, Jennifer Clarke, and Nagi G. Ayad

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CKMI: Comprehensive Key Management Infrastructure Design for Industrial Automation and Control Systems, T.C. Pramod, Thejas G.S., S.S. Iyengar, and N. R. Sunitha

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Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer, Raihanul Bari Tanvir, Tasmia Aqila, Mona Maharjan, Abdullah Al Mamun, and Ananda Mohan Mondal

Faculty Publications from 2018

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Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs, Muhammad Usman Tariq and Fahad Saeed

Faculty Publications from 2015

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Statistical Methods in AI: Rare Event Learning Using Associative Rules and Higher-Order Statistics, V. Iyer, S. Shetty, and S.S. Iyengar

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Autonomous pipeline monitoring and maintenance system: a RFID-based approach, Jong-Hoon Kim, Gokarna Sharma, Noureddine Boudriga, S.S. Iyengar, and Nagarajan Prabakar

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A Multiple Resonant Frequencies Circular Reconfigurable Antenna Investigated with Wireless Powering in a Concrete Block, Shishir Shanker Punjala, Nikki Pissinou, and Kia Makki

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Diffeomorphism Spline, Wei Zeng, Muhammad Razib, and Abdur Bin Shahid

Faculty Publications from 2014

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Non-Invasive Clinical Parameters for the Prediction of Urodynamic Bladder Outlet Obstruction: Analysis Using Causal Bayesian Networks, Myong Kim, Abhilash Cheeti, Changwon Yoo, Minsoo Choo, Jae-Seung Paick, and Seung-June Oh

Faculty Publications from 2013

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What Google Maps can do for Biomedical Data Dissemination: Examples and a Design Study, Radu Jianu and David H. Laidlaw

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PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting, Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, and Changjie Tang

Faculty Publications from 2012

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Quality of experience evaluation of voice communication: an affect-based approach, Abhishek Bhattacharya, Wanmin Wu, and Zhenya Wang

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Identification of Conserved Splicing Motifs in Mutually Exclusive Exons of 15 Insect Species, Patricia Buendia, John Tyree, Robert Laredo, and Shu-Ning Hsu

Faculty Publications from 2011

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Challenges and Directions in Formalizing the Semantics of Modeling Languages, Barrett R. Bryant, Jeff Gray, Marjan Mernik, Peter J. Clarke, Robert B. France, and Gabor Karsai

Faculty Publications from 2010

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Information Discovery on Electronic Health Records Using Authority Flow Techniques, Vagelis Hristidis, Ramakrishna R. Varadarajan, Paul Biondich, and Michael Weiner

Faculty Publications from 2009

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Serial evolutionary networks of within-patient HIV-1 sequences reveal patterns of evolution of X4 strains, Patrica Buendia and Giri Narasimhan

Faculty Publications from 2008

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Gene selection algorithm by combining reliefF and mRMR, Yi Zhang, Chris Ding, and Tao Li

Faculty Publications from 1990

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Notes on sufficient conditions for a graph to be Hamiltonian, Michael Joseph Paul, Carmen Baytan Shershin, and Anthony Connors Shershin