Publications and Presentations by the ACIS Lab

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W. W. Carlson and J. A. B. Fortes, “On the Performance of Combined Dataflow and Control Flow Systems: Experiments Using Two Iterative Algorithms”, Journal of Parallel and Distributed Computing, p. 359-382, 1988.
V. Cavalli-Sforza, et al., “Enabling Transnational Collection, Notification, and Sharing of Information”, in National Conference on Digital Government (dg. 2003), 2003.
V. Chadha and R. J. Figueiredo, “ROW-FS: A User-level Virtualized Redirect-on-write Distributed File System for Wide Area Applications”, in HiPC - International Conference on High Performance Computing, 2007.
V. Chadha, R. Illikkal, R. Iyer, J. Moses, D. Newell, and R. J. Figueiredo, “I/O Processing in a Virtualized Platform: A Simulation-Driven Approach”, Proc. ACM Virtual Execution Environments Conference (VEE). 2007.
M. Chean and J. A. B. Fortes, “A Taxonomy of Reconfiguration Techniques for Fault-Tolerant Processor Arrays”, IEEE Computer, p. 55-69, 1990.
M. Chean and J. A. B. Fortes, “The Full-Use-of-Suitable-Spaces (FUSS) Approach to Hardware Reconfiguration for Fault-Tolerance Processor Arrays”, IEEE Transactions on Computers, vol. 39, p. 564-571, 1990.
M. Collins, R. Tarvin, M. Kandziora, W. Dahdul, and D. Paul, “Phenomap - Challenges and Successes in Bringing Together Multiple Data Projects to Build New Visualizations of Phenotypic Information and Specimen Records”, Biodiversity Information Standards (TDWG). 2018.
M. Collins, “GUODA: A Unified Platform for Large-Scale Computational Research on Open-Access Biodiversity Data”, in Biodiversity Information Standards (TDWG) 2016 Annual Conference, Santa Clara de San Carlos, Costa Rica, 2016.
M. Collins, G. Yeole, P. B Frandsen, R. B Dikow, S. Orli, and R. J. Figueiredo, “A Pipeline for Deep Learning with Specimen Images in iDigBio - Applying and Generalizing an Examination of Mercury Use in Preparing Herbarium Specimens”, Biodiversity Information Science and Standards, vol. 2, p. e25699, 2018.
M. Collins, “Accessing Digital Collections Data Sources for Research: A Tour of iDigBio Data Services”, in Island Biology 2016, II International Conference on Island Evolution, Ecology, and Conservation, University of the Azores at Angra do Heroísmo, Terceira Island, Azores, Portugal, 2016.
M. Collins, “Mining Whole Museum Collections Datasets for Expanding Understanding of Collections with the GUODA Service”, in 31st Annual Meeting 2016 of the Society for the Preservation of Natural History Collections (SPNHC), Berlin, Germany, 2016.
M. Collins, N. Nicholson, J. Poelen, A. Thompson, J. Hammock, and A. Thesen, “Building Your Own Big Data Analysis Infrastructure for Biodiversity Science”. 2017.
S. Datta, et al., “NASA University Research Education and Technology: Institute for Nanoelectronics and Computing”, in NASA University Research Education and Technology: Institute for Nanoelectronics and Computing, 2003.
B. Davis, J. Principe, and J. 'A. B. Fortes, “Design and Performance Analysis of Nanoscale Content-Addressable Memories”, in 4th IEEE Conference on Nanotechnology, 2004.
J. Davis, et al., “Application of emerging cyberinfrastructure technologies to aid in the education and training of coastal and estuarine scientists”, Journal of Ocean Technology, vol. 5, no. 1, p. 56-80, 2010.
J. Deck, et al., “Meeting report: Identifying practical applications of ontologies for biodiversity informatics”, Standards in Genomic Sciences C7 - 25, vol. 10, p. 1-6, 2015.
J. DiGiovanna, J. A. B. Fortes, M. Zhao, B. Mahmoudi, L. Hermer, and R. J. Figueiredo, “Cyber-Workstation for Computational Neuroscience”, Frontiers in neuroengineering, 2009.
J. DiGiovanna, et al., “Towards Real-Time Distributed Signal Modeling for Brain Machine Interfaces”, in International Conference on Computational Science (ICCS 2007) - DDDAS Workshop, 2007.
J. DiGiovanna, B. Mahmoudi, J. A. B. Fortes, J. Principe, and J. Sanchez, “Co-adaptive Brain-Machine Interface via Reinforcement Learning”, IEEE Transactions on Biomedical Engineering, vol. 56, no. 1, p. 54-64, 2009.
D. Ding, R. J. Figueiredo, and M. Conti, “SAND: Social-Aware, Network-Failure Resilient, and Decentralized Microblogging System”, Future Generation Computer Systems, vol. 93, no. April 2019, p. 637-650, 2019.
D. Ding, R. J. Figueiredo, and M. Conti, “Wide-scale Internet Disconnection: Impact and Recovery on Social-based P2P Overlays”, IEEE Transactions on Network Science and Engineering, 2018.
D. Ding, M. Conti, and R. J. Figueiredo, “Impact of Country-scale Internet Disconnection on Structured and Social P2P Overlays”, in IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), 2015.
T. J. Downar, R. Eigenmann, J. A. B. Fortes, and N. Kapadia, “Issues and Approaches in Parallel Multi-Component and Multi-Physics Simulations”, in International Conference on Parallel and Distributed Processing Techniques and Applications, 1999.
H. Eom, R. J. Figueiredo, H. Cai, Y. Zhang, and G. Huang, “MALMOS: Machine Learning-based Mobile Offloading Scheduler”, in IEEE MobileCloud, 2015.
H. Eom, D. Wolinsky, and R. J. Figueiredo, “SOLARE: Self-Organizing Latency-Aware Resource Ensemble”, in 2011 13th IEEE International Conference on High Performance Computing and Communications (HPCC 2011), Banff, Canada, 2011.