Research Publications – Office of Research Computing

2023

Ansari, Jaafar N., Karen L. Sauer, and Igor I. Mazin. "Slow tail of nematic spin fluctuations in Ba (Fe 1− x Co x) 2 As 2: Insight from nuclear magnetic resonance." Physical Review B 108, no. 6 (2023): 064516.

Stan, Cristiana, and Rama Sesha Sridhar Mantripragada. "A deep learning filter for the intraseasonal variability of the tropics." Artificial Intelligence for the Earth Systems (2023): 1-25.

Blackwell, Kim T., and Kenji Doya. "Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks." PLOS Computational Biology 19, no. 8 (2023): e1011385.

D. Kepplinger. Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression. Computational Statistics & Data Analysis. 2023. doi:10.1016/j.csda.2023.107730

Li, Yimeng and Jana Kosecka. “Uncertainty Aware Proposal Segmentation for Unknown Object Detection.” 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (2021): 241-250.

Li, Yimeng, Arnab Debnath, Gregory J. Stein, and Jana Kosecka. "Comparison of Model Free and Model-Based Learning-Informed Planning for PointGoal Navigation." CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning, 2022, https://openreview.net/forum?id=2s92OhjT4L.

Michael Crawshaw#, Yajie Bao#, Mingrui Liu, EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data., 11th International Conference on Learning Representations, 2023. (ICLR 2023)

Michael Crawshaw#, Yajie Bao#, Mingrui Liu, Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds, Advances in Neural Information Processing Systems 37, 2023. (NeurIPS 2023)

Henneman LRF, Rasel MM, Choirat C, Anenberg S, Zigler C. 2023. Inequitable exposures to U.S. coal power plant–related PM2.5: 22 years and counting. Environ Health Perspect131(3):037005, 10.1289/EHP11605. Link, Google Scholar

Keiji Hayashi, Chin-Chun Wu, and Kan Liou, "The nonpotentiality of steady-state coronal magnetic field derived with time-relaxation magnetohydrodynamics simulations using Helioseismic and Magnetic Imager three-component magnetic field data", (2022) the Astrophysical Journal, vol.940, id.82, doi:10.3847/1538-4357/ac9b25

Yan, Hao, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, and Ziyu Yao. " Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023 (preprint can be found at https://arxiv.org/pdf/2305.08195.pdf).

Rai, Daking, Bailin Wang, Yilun Zhou, and Ziyu Yao. " Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Technique." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023.

Wang, Y., & Walther, G. (2023, March). Measure words are measurably different from sortal classifiers. In Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023) (pp. 81-90).

2022

Chuan Yan, John Joon Young Chung, Kiheon Yoon, Yotam Gingold, Eytan Adar, Sungsoo Ray Hong, FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals. ACM CHI Conference on Human Factors in Computing Systems 2022. https://cragl.cs.gmu.edu/flatmagic/

Faisal, F., Wang, Y., & Anastasopoulos, A. (n.d.). Dataset geography: Mapping language data to language users. accepted in ACL 2022 main conference. Retrieved from https://arxiv.org/abs/2112.03497

G. Helmick, Y. Abere, and E. Blaisten-Barojas, "Monte Carlo Simulation of the Energetics and Thermodynamics of Polypyrrole in Condensed Phases", TechConnect'22 World Innovation, Proceedings, Washington D.C., June 13-15, 2022. https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/385.pdf

J. Andrews and E. Blaisten-Barojas, "Cover illustration of J. Phys. Chem B volume 126, issue 7 (2022). It corresponds to a visual rendering of a nanodrop of DSPE-PEG deposited on the surface of a PLGA slab all of that in a water solution," J. Phys. Chem. B, 126(7), 1598-1608 (2022); doi.org/10.1021/acs.jpcb.1c07490 (JPC-B_Cover issue 7)

J. Andrews and E. Blaisten-Barojas, "Distinctive Formation of PEG-Lipid Nanopatches onto Solid Polymer Surfaces Interfacing Solvents from Atomistic Simulation," J. Phys. Chem. B, 126(7), 1598-1608 (2022); doi.org/10.1021/acs.jpcb.1c07490

J. Andrews, O. Gkountouna and E. Blaisten-Barojas, "Forecasting Molecular Dynamics of Polymer-lipids in Solution from Supervised Machine Learning,” Chemical Science 13, 7021-7033 (2022), doi.org/10.1039/D2SC01216B.

J. Andrews, O. Gkountouna and E. Blaisten-Barojas,, "Molecular Dynamics of Polymer-lipids in Solution from Supervised Machine Learning,”, 2022, https://arxiv.org/ftp/arxiv/papers/2203/2203.00151.pdf

J. Leonard, D. Kepplinger, V. Espina, P. Gillevet1 , C.D. Hoemann, Ex Vivo Cultured Blood Clots Develop a Polymorphonuclear-Myeloid Derived Suppressor Cell (PMNMDSC) Signature and Release Soluble Lectin-like Oxidized Low-Density Lipoprotein Receptor-1 (sLox-1), 2022, Biomedical Engineering Society

Matzko, W., Satyapal, S., Ellison, S.L., Sexton, R.O., Secrest, N.J., Canalizo, G., Blecha, L., Patton, D.R. and Scudder, J.M., 2022. Galaxy pairs in the sloan digital sky survey XV: Properties of ionised outflows. Monthly Notices of the Royal Astronomical Society, https://ui.adsabs.harvard.edu/abs/2022MNRAS.514.4828M/abstract

Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao, A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks, Advances in Neural Information Processing Systems 36, 2022. (NeurIPS 2022) (Spotlight, 5% acceptance rate)

Mullen, Lincoln A. America’s Public Bible: A Commentary. Stanford University Press, 2022. https://doi.org/10.21627/2022apb, https://americaspublicbible.org

Scott D. Hopkins and Estela Blaisten-Barojas, "Distinctive Thermoresponsive Behavior of Smart Polymers Solvated in Glycerol from Molecular Dynamics,” TechConnect'22 World Innovation, Proceedings, Washington D.C., June 13-15, 2022, https://briefs.techconnect.org/wp-content/volumes/TCB2022/pdf/383.pdf

Y. Abere, G. Helmick, and E. Blaisten-Barojas, "Modeling oxidised polypyrrole in the condensed phase with a novel force field," J. Phys. Cond. Matter. 34(18), 185701 (2022); doi.org/10.1088/1361-648X/ac303b

Y. Zhao, S. Talebipour, K. Baral, H. Park, L. Yee, S. A. Khan, Y. Brun, N. Medvidovic, and K. Moran, “AVGUST: Automating Usage-based Test Generation from Videos of App Executions,” In proceedings of the 2022 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, November 14th-18th, 2022

Yajie Bao#, Michael Crawshaw#, Shan Luo, Mingrui Liu, Fast Composite Optimization and Statistical Recovery in Federated Learning, Proceedings of 39th International Conference on Machine Learning, 2022. (ICML 2022)

2021

Guan, Steven, Ko-Tsung Hsu, Matthias Eyassu, and Parag V. Chitnis. "Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction." arXiv preprint arXiv:2104.03130 (2021).

Joshi, J.R., 2021. Quantifying the impact of cropland wind erosion on air quality: A high-resolution modeling case study of an Arizona dust storm. Atmospheric Environment, 263, p.118658. https://doi.org/10.1016/j.atmosenv.2021.118658

K. Darling, S. Srinivasan, R.K. Koju, B.C. Hornbuckle, J. Smeltzer, Y. Mishin, K.N. Solanki,“Stress-driven grain refinement in a microstructurally stable nanocrystalline binary alloy”, Scripta Materialia, 191, 185-190 (2021) https://doi.org/10.1016/j.scriptamat.2020.09.041

Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweonwoo Jung, Philipp Koehn, and Vassilina Nikoulina. 2021. Findings of the WMT Shared Task on Machine Translation Using Terminologies. In Proceedings of the Sixth Conference on Machine Translation, pages 652–663, Online. Association for Computational Linguistics.

Nachawati, M. O., "Grey-Box Optimization Algorithms for Decision Guidance Analytics Management Systems", Ph.D. I.T. Dissertation, April 2021

Nachawati, M. O., & Brodsky, A. (2021, February). Mixed-Integer Constrained Grey-Box Optimization based on Dynamic Surrogate Models and Approximated Interval Analysis. In ICORES (pp. 99-112). http://www.icores.org/PreviousAwards.aspx

Rahman, A., Zhang, X., Xue, Y., Houser, P., Sauer, T. (March 2021) “An experiment of updating more state variables with the assimilation of LAI in a land surface model over the global domain”, oral presentation at the Virtual Joint AWRA (American Water Resources Association) National Capital Annual Water Symposium, 2021.

Roshanisefat, Shervin, Hadi Mardani Kamali, Houman Homayoun, and Avesta Sasan. "RANE: An Open-Source Formal De-obfuscation Attack for Reverse Engineering of Logic Encrypted Circuits." In Proceedings of the 2021 on Great Lakes Symposium on VLSI, pp. 221-228. 2021.

Xue, Y., Houser, P. R., Maggioni, V., Mei, Y., Kumar, S. V., & Yoon, Y. (2021). Evaluation of High Mountain Asia-Land Data Assimilation System (version 1) from 2003 to 2016, part I: A hyper-resolution terrestrial modeling system. Journal of Geophysical Research: Atmospheres, 126, e2020JD034131. https://doi.org/10.1029/2020JD034131

Zhang, Xinxuan, Viviana Maggioni, Azbina Rahman, Yuan Xue, Paul Houser, Timothy Sauer. “Evaluation of a Multi-setting Ensemble Land Data Assimilation System for Merging Satellite Vegetation Observations.” 2021 AMS Annual Meeting, Oral session, Jan. 2021, Online Meeting

Bisht, Anuj, Raj Kiran Koju, Yuanshen Qi, James Hickman, Yuri Mishin, and Eugen Rabkin. "The impact of alloying on defect-free nanoparticles exhibiting softer but tougher behavior." Nature communications 12, no. 1 (2021): 1-9.

D. Sponseller and E. Blaisten-Barojas, "Solutions and Condensed Phases of PEG2000 from All-Atom Molecular Dynamics," J. Phys. Chem. B 125(46), 12892=12901 (2021); doi.org/10.1021/acs.jpcb.1c06397

Faisal, F., & Anastasopoulos, A. (2021, November). Investigating post-pretraining representation alignment for cross- lingual question answering. In Proceedings of the 3rd workshop on machine reading for question answering (pp. 133–148). Punta Cana, Dominican Republic: Association for Computational Linguistics. Retrieved from https://aclanthology.org/2021.mrqa-1.14

Faisal, F., Keshava, S., Alam, M. M. I., & Anastasopoulos, A. (2021, November). SD-QA: Spoken dialectal question answering for the real world. In Findings of the association for computational linguistics: Emnlp 2021 (pp. 3296–3315). Punta Cana, Dominican Republic: Association for Computational Linguistics. Retrieved from https://aclanthology.org/2021.findings-emnlp.281

G. Helmick, Y. Abere, and E. Blaisten-Barojas, "The caloric curve of polymers from the Adaptive Tempering Monte Carlo method," In Advances in Parallel & Distributed Processing and Applications: CSCE’20 Proceedings. Eds. Arabnia, H. R., et al. Springer Nature, 2021, pp 253–260, ISBN 978-3-030-69983-3

J. Andrews and E. Blaisten-Barojas, "Workflow for investigating thermodynamic, structural and energy properties of condensed polymer systems," In Advances in Parallel & Distributed Processing and Applications: CSCE’20 Proceedings. Eds. Arabnia, H. R., et al. Springer Nature, 2021, pp 1033–1039, ISBN 978-3-030-69983-3

Mahfuz ibn Alam, Md, Antonios Anastasopoulos, Laurent Besacier, James Cross, Matthias Gallé, Philipp Koehn, and Vassilina Nikoulina. "On the Evaluation of Machine Translation for Terminology Consistency." arXiv e-prints (2021): arXiv-2106.

Mahmud, J., Faisal, F., Arnob, R. I., Anastasopoulos, A., & Moran, K. (2021, August). Code to comment translation: A comparative study on model effectiveness & errors. In Proceedings of the 1st workshop on natural language processing for programming (nlp4prog 2021) (pp. 1–16). Online: Association for Computational Linguistics. Retrieved from https://aclanthology.org/2021.nlp4prog-1.1 doi: 10.18653/v1/2021.nlp4prog-1.1

Taylor, Chris, and Cameron Nowzari. "The impact of catastrophic collisions and collision avoidance on a swarming behavior." Robotics and Autonomous Systems 140 (2021): 103754.

2020

Mei, Y., Maggioni, V., Houser, P., Xue, Y., & Rouf, T. (2020). A nonparametric statistical technique for spatial downscaling of precipitation over High Mountain Asia. Water Resources Research, 56, e2020WR027472. https://doi.org/10.1029/2020WR027472

Dollan, I.J., Maggioni, V., Mei, Y., & Rouf, T. (2020). Investigating temporal trends and spatial patterns of extreme precipitation in Northern Virginia, USA, Poster presented at AGU Fall Meeting 2020; Dec 14; Virtual Poster. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=8LLUUz0AAAAJ&citation_for_view=8LLUUz0AAAAJ:9yKSN-GCB0IC

Rahman, A., Zhang, X., Xue, Y., Houser, P., Sauer, T., Kumar, S., Mocko, D, Maggioni, V. (December 2020) “A synthetic experiment to investigate the potential of assimilating LAI through direct insertion in a land surface model”; Journal of Hydrology X, Volume 9. https://doi.org/10.1016/j.hydroa.2020.100063

Rahman, A., Zhang, X., Xue, Y., Houser, P., Sauer, T. (December 2020) “Joint Assimilation of GLASS Leaf Area Index and SMAP Soil Moisture in a Land Surface Model”, e-Lightening talk at the virtual American Geophysical Union (AGU) Fall Meeting, 2020.

Dissertation: “Investigating the Potential of Assimilating Phenology Observations in a Land Surface Model”- by Azbina Rahman; Dissertation Submitted to the Graduate Faculty of George Mason University for Ph.D. in Environmental Engineering, Summer 2021.; Dissertation Director: Dr. Viviana Maggioni.

Zhang, Xinxuan, Viviana Maggioni, Paul Houser, Yuan Xue, Yiwen Mei. "The impact of weather condition and social activity on COVID-19 transmission in the United States. " Journal of Environmental Management [under review]

Zhang, Xinxuan, Viviana Maggioni, Azbina Rahman, Paul Houser, Yuan Xue, Timothy Sauer, Sujay Kumar, and David Mocko. "The influence of assimilating leaf area index in a land surface model on global water fluxes and storages." Hydrology and Earth System Sciences 24, no. 7 (2020): 3775-3788.

Zhang, Xinxuan, Viviana Maggioni, and Azbina Rahman. "Investigating the Assimilation of Leaf Area Index Products at Different Temporal Resolutions in a Land Surface Model." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 3931-3934. IEEE, 2020.

Zhang, Xinxuan, Viviana Maggioni, Paul Houser, Yuan Xue, and Yiwen Mei. " The effect of meteorological conditions on COVID-19 transmission." 2020 AGU Fall Meeting, Poster session, Dec. 2020 Online Meeting

Zhang, Xinxuan, Viviana Maggioni, and Azbina Rahman. "Investigating the assimilation of leaf area index products at different temporal resolutions in a land surface model" (Invited). 2020 IEEE In-ternational Geoscience and Remote Sensing Symposium (IGARSS), 2020

Joshi, Janak, Daniel Tong, and Jagadish Shukla. "Simulation of an Arizona Dust Storm Using a High-resolution WRF-FENGSHA-CMAQ Modeling Framework." In AGU Fall Meeting Abstracts, vol. 2020, pp. A182-0002. 2020.

Hopkins, Scott D., Gideon K. Gogovi, Eric Weisel, Robert A. Handler, and Estela Blaisten-Barojas. "Polyacrylamide in glycerol solutions from an atomistic perspective of the energetics, structure, and dynamics." AIP Advances 10, no. 8 (2020): 085011.

Gogovi, Gideon Kwadzo. "Polymers and Biomolecules in Solvents: A Molecular Dynamics Study." PhD diss., George Mason University, 2020.

R.K. Koju, Y. Mishin “Atomistic study of grain-boundary segregation and grain-boundary diffusion in Al-Mg alloys”, Acta Materialia, 201, 596-603 (2020) https://doi.org/10.1016/j.actamat.2020.10.029

C. Kale, S. Srinivasan, B.C. Hornbuckle, R.K. Koju, K. Darling, Y. Mishin, K.N. Solanki “An experimental and modeling investigation of tensile creep resistance in a stable nanocrystalline alloy”, Acta Materialia, 199, 141-154 (2020). https://doi.org/10.1016/j.actamat.2020.08.020

R.K. Koju, Y. Mishin “Direct atomistic modeling of solute drag by moving grain boundaries”, Acta Materialia, 198, 111-120 (2020). https://doi.org/10.1016/j.actamat.2020.07.052

R.K. Koju, Y. Mishin: “Relationship between grain boundary segregation and grain boundary diffusion in Cu-Ag alloys”, Physical Review Materials 4, 073403 (2020) https://doi.org/10.1103/PhysRevMaterials.4.073403

Dreizler, S., I. J. M. Crossfield, D. Kossakowski, P. Plavchan, S. V. Jeffers, J. Kemmer, R. Luque et al. "The CARMENES search for exoplanets around M dwarfs-LP 714-47 b (TOI 442.01): populating the Neptune desert." Astronomy & Astrophysics 644 (2020): A127.

Teske, Johanna, Sharon Xuesong Wang, Angie Wolfgang, Tianjun Gan, Mykhaylo Plotnykov, David J. Armstrong, R. Paul Butler et al. "The Magellan-TESS Survey I: Survey Description and Mid-Survey Results." arXiv preprint arXiv:2011.11560 (2020).

Nowak, G., R. Luque, H. Parviainen, E. Pallé, K. Molaverdikhani, V. J. S. Béjar, J. Lillo-Box et al. "The CARMENES search for exoplanets around M dwarfs-Two planets on opposite sides of the radius gap transiting the nearby M dwarf LTT 3780." Astronomy & Astrophysics 642 (2020): A173.

Martioli, E., G. Hébrard, C. Moutou, J-F. Donati, É. Artigau, B. Cale, N. J. Cook et al. "Spin-orbit alignment and magnetic activity in the young planetary system AU Mic." Astronomy & Astrophysics 641 (2020): L1.

Bluhm, P., R. Luque, N. Espinoza, E. Pallé, J. A. Caballero, S. Dreizler, J. H. Livingston et al. "Precise mass and radius of a transiting super-Earth planet orbiting the M dwarf TOI-1235: a planet in the radius gap?." Astronomy & Astrophysics 639 (2020): A132.

Plavchan, Peter, Thomas Barclay, Jonathan Gagné, Peter Gao, Bryson Cale, William Matzko, Diana Dragomir et al. "A planet within the debris disk around the pre-main-sequence star AU Microscopii." Nature 582, no. 7813 (2020): 497-500.

Huber, Daniel, William J. Chaplin, Ashley Chontos, Hans Kjeldsen, Jørgen Christensen-Dalsgaard, Timothy R. Bedding, Warrick Ball et al. "A hot Saturn orbiting an oscillating late subgiant discovered by TESS." The Astronomical Journal 157, no. 6 (2019): 245.

Tremblay, Benoit, and Raphaël Attie. "Inferring plasma flows at granular and supergranular scales with a new architecture for the DeepVel neural network." Frontiers in Astronomy and Space Sciences 7 (2020): 25.

Roshanisefat, Shervin, Hadi Mardani Kamali, Kimia Zamiri Azar, Sai Manoj Pudukotai Dinakarrao, Naghmeh Karimi, Houman Homayoun, and Avesta Sasan. "Dfssd: Deep faults and shallow state duality, a provably strong obfuscation solution for circuits with restricted access to scan chain." In 2020 IEEE 38th VLSI Test Symposium (VTS), pp. 1-6. IEEE, 2020.

Nadine Kabbani and James L. Olds, Molecular Pharmacology May 1, 2020, 97 (5) 351-353; DOI: https://doi.org/10.1124/molpharm.120.000014

Olds, J.L. and Kabbani, N. (2020), Is nicotine exposure linked to cardiopulmonary vulnerability to COVID‐19 in the general population?. FEBS J, 287: 3651-3655. doi:10.1111/febs.15303

Brumfield KD, Huq A, Colwell RR, Olds JL, Leddy MB (2020) Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data. PLoS ONE 15(2): e0228899.

Khan MS, Koizumi N, Olds JL. Biofixation of atmospheric nitrogen in the context of world staple crop production: Policy perspectives. Sci Total Environ. 2020 Jan 20;701:134945. doi: 10.1016/j.scitotenv.2019.134945. Epub 2019 Nov 2. PMID: 31734483.

Andrews, R. A. Handler, and E. Blaisten-Barojas, "Structure, energetics and thermodynamics of PLGA condensed phases from Molecular Dynamics,” Polymer 206, 122903 (2020); doi:https://doi.org/10.1016/j.polymer.2020.122903

Hopkins, G. Gogovi, E. Weisel, R. A. Handler, and E. Blaisten-Barojas, "Polyacrylamide in glycerol solutions from an atomistic perspective of the energetics, structure, and dynamics," AIP Advances 10, 085011 (2020); doi: 10.1063/5.0020850 (open access).

A. Handler, E. Blaisten-Barojas, P. M. Ligrani, P. Dong, M. Paige "Vortex Generation in a Finitely Extensible Nonlinear Elastic Peterlin Fluid Initially at Rest," Engineering Reports 2, e12135 (2020); don: 10.1002/eng2.12135 (open access).

"Workflow for investigating thermodynamic, structural and energy properties of condensed polymer systems," J. Andrews, E. Blaisten-Barojas, in Advances in Parallel & Distributed Processing, and Applications, Eds. H. R. Arabnia, et al., Springer Nature Collection, in press (expected publication Nov. 2020).

"The caloric curve of polymers from the Adaptive Tempering Monte Carlo method," G. Helmick, Y. Abere, and E. Blaisten-Barojas, in Advances in Parallel & Distributed Processing, and Applications, Eds. H. R. Arabnia, et al., Springer Nature Collection, in press (expected publication Nov. 2020).

Lev-Ari, H.; Ephraim, Y.; Mark, B.L., “Traffic Rate Network Tomography with Higher-Order Cumulants,” submitted to IEEE/ACM Transactions on Networking, August 2020.

Bijari, K., Akram, M.A. & Ascoli, G.A. An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology. Brain Inf. 7, 2 (2020). https://doi.org/10.1186/s40708-020-00103-3

Santhalingam, Panneer Selvam, Yuanqi Du, Riley Wilkerson, Al Amin Hosain, Ding Zhang, Parth Pathak, Huzefa Rangwala, and Raja Kushalnagar. "Expressive ASL Recognition using Millimeter-wave Wireless Signals," 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Como, Italy, 2020, pp. 1-9, doi: 10.1109/SECON48991.2020.9158441.

Santhalingam, Panneer Selvam, Al Amin Hosain, Ding Zhang, Parth Pathak, Huzefa Rangwala, and Raja Kushalnagar. "mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, no. 1 (2020): 1-30.

Chuan Yan, David Vanderhaeghe, Yotam Gingold , A Benchmark for Rough Sketch Cleanup, ACM Transactions on Graphics (TOG) 39(6), 2020. Presented at SIGGRAPH Asia 2020. https://cragl.cs.gmu.edu/sketchbench/

Md Mahfuz Ibn Alam and Antonios Anastasopoulos. 2020. Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations. In Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), pages 149–158, Online. Association for Computational Linguistics.

2019

Cale, Bryson, Peter Plavchan, Danny LeBrun, Jonathan Gagné, Peter Gao, Angelle Tanner, Charles Beichman et al. "Precise Radial Velocities of Cool Low-mass Stars with iSHELL." The Astronomical Journal 158, no. 5 (2019): 170.

Andrews and E. Blaisten-Barojas, "Exploring with Molecular Dynamics the Structural Fate of PLGA Oligomers in Various Solvents," J. Phys. Chem B 123, 10233-10244 (2019).

Gogovi, F. Almsned, N. Bracci, K. Kehn-Hall, A. Shehu and E. Blaisten-Barojas, "Modeling the Tertiary Structure of the Rift Valley Fever Virus L protein," Molecules 24, 1768 (2019); doi:10.3390/molecules24091768 (open access)

Reitz and E. Blaisten-Barojas, "Simulating the NaK eutectic alloy with Monte Carlo and Machine Learning," Scientific Reports 9, Article number: 704 (2019) | doi:10.1038/s41598-018-36574-y (open access)

Kulkarni, Rajendra and Schintler, Laurie and Koizumi, Naoru and Olds, James and Stough, Roger R., Cryptocurrency, Stablecoins and Blockchain: Exploring Digital Money Solutions for Remittances and Inclusive Economies (December 29, 2019). 66th Annual North American Meetings of the Regional Science Association International

JL Olds, MS Khan, M Nayebpour, N Koizumi. Explainable AI: A Neurally-Inspired Decision Stack Framework. arXiv preprint arXiv:1908.103002019

Krichmar JL, Severa W, Khan MS and Olds JL (2019) Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future. Front. Neurosci. 13:666. doi: 10.3389/fnins.2019.00666

Automating Knowledge Transfer with Multi-Task Optimization. Eric O. Scott and Kenneth A. De Jong. IEEE Congress on Evolutionary Computation, 2253–2260, Wellington, New Zealand. 2019

Xue, Y., Houser, P. R., Maggioni, V., Mei, Y., Kumar, S. V., & Yoon, Y. (2019) Assimilation of Satellite-based Snow Cover and Freeze/Thaw Observations into Noah-MP Land Surface Model in High Mountain Asia. Front. Earth Sci. 7, 115. https://www.frontiersin.org/articles/10.3389/feart.2019.00115/full

Xue, Yuan, P. R. Houser, Viviana Maggioni, Yiwen Mei, S. Vignesh Kumar and Yeosang Yoon. “Assimilation of Satellite-Based Snow Cover and Freeze/Thaw Observations Over High Mountain Asia.” Front. Earth Sci. (2019).

Ahmed Bin Zaman, Prasanna Parthasarathy, and Amarda Shehu. Using Sequence-Predicted Contacts to Guide Template-free Protein Structure Prediction. ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), Niagara falls, NY, 2019 (Accepted)

Ahmed Bin Zaman, Parastoo Kamranfar, Carlotta Domeniconi, and Amarda Shehu. Decoy Ensemble Reduction in Template-free Protein Structure Prediction. Computational Structural Bioinformatics Workshop (CSBW), Computational Structural Bioinformatics Workshop (CSBW), Niagara falls, NY, 2019 (Accepted).

Ahmed Bin Zaman and Amarda Shehu. Building Maps of Protein Structure Spaces in Template-free Protein Structure Prediction. Journal of Bioinformatics and Computational Biology (JBCB), 2019 (Under review).

Ahmed Bin Zaman, Kenneth A De Jong, and Amarda Shehu. Using Subpopulation EAs to Map Molecular Structure Landscapes. Genetic and Evolutionary Computation Conference (GECCO), Prague, Czech Republic, 2019.

Ahmed Bin Zaman and Amarda Shehu. Balancing Multiple Objectives in Conformation Sampling to Control Decoy Diversity in Template-free Protein Structure Prediction. BMC Bioinformatics, vol. 20, issue 1, pg. 211, 2019.

Ahmed Bin Zaman and Amarda Shehu. Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space. Intl Conf on Bioinf and Comp Biol (BiCoB), Honolulu, HI, 2019.

Ahmed Bin Zaman and Amarda Shehu. A Multi-Objective Stochastic Optimization Approach for Decoy Generation in Template-free Protein Structure Prediction. Biophysical Journal, vol. 116, issue 3, Suppl. 1, 2019.

Diao, G., Zeng, D., Hu, K., Ibrahim, J. G. (2019) “Semiparametric frailty models for zeroinflated event count data in the presence of informative dropout". Biometrics, accepted.

Diao, G., Ibrahim, J. G. (2019) “Quantifying time-varying cause-specific hazards and subdistribution hazards ratios with competing risks data". Clinical Trials, 16, 363–374.

Diao, G., Ma, H., Zeng, D., Ke, C., Ibrahim, J. G. (2019) “Synthesizing studies for comparing treatment sequences in clinical trials". Biometrika, submitted.

Makrani, Hosein Mohammadi, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad. "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design." arXiv preprint arXiv:1907.12952(2019).

Qiao, W. and Polonik, W. (2019). Nonparametric confidence regions for level sets: statistical properties and geometry. Electronic Journal of Statistics, 13(1), 985-1030.

2018

Toward Learning Neural Network Encodings for Continuous Optimization Problems. Eric O. Scott and Kenneth A. De Jong. Companion Proceedings of the Genetic and Evolutionary Computation Conference, 123–124, Kyoto, Japan. 2018.

Makrani, Hosein Mohammadi, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, and Houman Homayoun. "Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud." In SoCC, p. 517. 2018.

Makrani, Hosein Mohammadi, Hossein Sayadi, Sai Manoj Pudukotai Dinakarra, Setareh Rafatirad, and Houman Homayoun. "A comprehensive memory analysis of data intensive workloads on server class architecture." In Proceedings of the International Symposium on Memory Systems, pp. 19-30. ACM, 2018.

2017

Azad Naik and H. Rangwala, “HierFlat: Flattened Hierarchies for Improving Top-Down Hierarchical Classification”, International Journal of Data Science and Analytics (JDSA), September 2017, issn:2364-4168, doi: 10.1007/s41060-017-0070-1

Toor, A. S., & Wechsler, H. “Biometrics and forensics integration using deep multi-modal semantic alignment and joint embedding.”, Pattern Recognition Letters, February 2017. doi:10.1016/j.patrec.2017.02.012

Weisburd, D. Braga, A. A., Groff, E. R., and Wooditch, A. “Can Hot Spots Policing Reduce Crime in Urban Areas? An Agent-Based Simulation”, Criminology, Volume 55, Number 1, pp. 137-173, 2017. doi:10.1111/1745-9125.12131

Multitask Evolution with Cartesian Genetic Programming. Eric O. Scott and Kenneth A. De Jong. Companion Proceedings of the Genetic and Evolutionary Computation Conference, 255–256, Berlin, Germany. 2017.

"Compressed Least Squares revisited" published in the proceedings of AISTATS 2017.

2016

A. Naik and H. Rangwala. “Embedding Feature Selection for Large-scale Hierarchical Classification”, 2016 IEEE Big Data, Washington D.C., 5-8 December 2016.

A. Naik and H. Rangwala. “Inconsistent Node Flattening for Improving Top-down Hierarchical Classification”, 2016 IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, October 2016.

A. Naik and H. Rangwala. “Large-scale Hierarchical Classification with Rare Categories and Inconsistencies”, AI Matters, Vol. 2(3), pp. 27-29, June 2016.

A. Mousavian, H. Pirsiavash, J. Kosecka. “Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks”, International Conference on 3DVision, Stanford CA, USA, October 2016

Garzon. J.L.and Ferreira, C. M. (2016) “Storm surge modeling in large estuaries: sensitivity analyses to parameters and physical processes in the Chesapeake Bay ” Journal of Marine Sciences and Engineering 4(3):45

Garzon. J.L.and Ferreira, C. M. (2016) “Evaluation of weather forecast systems for storm surge modeling in the Chesapeake Bay.”, Ocean Modeling (submitted)

Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka. “Multiview RGB-D Dataset for Object Instance Detection.”International Conference on 3D Vision (3DV), Stanford CA, USA, October 2016

A. Harbir, E. Otarola, and A. J. Salgado. “A SPACE-TIME FRACTIONAL OPTIMAL CONTROL PROBLEM: ANALYSIS AND DISCRETIZATION” (2016). SIAM J. Control Optimization, Vol. 54, No. 3, pp. 1295-1328.

Lincoln Mullen. “America’s Public Bible: Biblical Quotations in U.S. Newspapers, website, code, and datasets“ (2016). Won First Prize from the National Endowment for the Humanities, see the announcement.

Maximova T, Carr D, Plaku E, Shehu A. “Sample-based Models of Protein Structural Transitions” Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, Seattle, WA, October 2016, pp. 128-137.

Maximova T, Plaku E, Shehu A. “Structure-guided Protein Transition Modeling with a Probabilistic Roadmap Algorithm” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, 13(4), doi:10.1109/TCBB.2016.2586044

2015

A. Charuvaka and H. Rangwala. “HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning.” In Proceedings of European Conference in Machine Learning and Knowledge Discovery in Databases, 2015

M. Drummond “Power and Performance Characterization of SPLASH2 Benchmarks on Heterogeneous Architecture.” Master of Science Thesis, Electrical and Computer Engineering, GMU, Summer 2015.

M. H. Hajkazemi, M. Chorney, R. J. Behrouz, M. K. Tavana, and H. Homayoun. “Adaptive Bandwidth Management for Performance-Temperature Trade-offs in Heterogeneous HMC+ DDRx Memory”, in Proceedings of the 25th edition on Great Lakes Symposium on VLSI, pp. 391-396. ACM, 2015.

M. H. Hajkazemi, M. K. Tavana, and H. Homayoun. “Wide I/O or LPDDR? Exploration and Analysis of Performance, Power and Temperature Trade-offs of Emerging DRAM Technologies in Embedded MPSoCs”, in Proceedings of the 33rd IEEE International Conference on Computer Design (ICCD), October 2015.

A. Naik and H. Rangwala. “A Ranking-based approach for Hierarchical Classification”, 2015 IEEE International Conference on Data Science and Advanced Analytics, Paris, France, October 2015.

M. Bandari, R. Simon, and H. Aydin. Power Management in Cluster-Based Energy-Harvesting Sensor Networks through Dynamic Modulation Scaling. In Proceedings of the 12th IEEE International Conference on Embedded Software and Systems (ICESS’15), New York City, NY, August 2015. (Best Student Paper Award)

R. Khade, J.Lin, and N.Patel “Frequent Set Mining for Streaming Mixed and Large Data.” Proceedings of International Conference of Machine Learning and Applications, December 9-11, 2015 at Miami, FL, USA.

A. Liakos and N. A. Malamataris “Topological study of steady state, three dimensional flow over a backward facing step.” Computers & Fluids, Volume 118, September 2015, pages:1-18. doi:10.1016/j.compfluid.2015.05.019

Maximova T, Plaku E, Shehu A. “Computing transition paths in multiple-basin proteins with a probabilistic roadmap algorithm guided by structure data.”In Bioinformatics and Biomedicine (BIBM 2015) IEEE International Conference, pp. 35-42, 2015.

T. Saha, H. Rangwala and C. Domeniconi “Predicting Preference Tags to Improve Item recommendation.” SIAM International Conference in Data Mining (SDM 2015), Vancouver, Canada. May 2015.

M. K. Tavana, M. H. Hajkazemi, D. Pathak, I. Savidis, and H. Homayoun. “ElasticCore: enabling dynamic heterogeneity with joint core and voltage/frequency scaling”, in Proceedings of the 52nd Annual Design Automation Conference, p. 151. ACM, 2015.

Jianchao Tan, Marek Dvorožňák, Daniel Sýkora, Yotam Gingold, Decomposing Time-Lapse Paintings into Layers. ACM Transactions on Graphics (TOG) 34(4), 2015. Also in Proceedings of SIGGRAPH North America 2015. https://cragl.cs.gmu.edu/timemap/

2014

M. Bandari, R. Simon, and H. Aydin. Energy Management of Embedded Wireless Systems through Voltage and Modulation Scaling under Probabilistic Workloads. In Proceedings of the Fifth IEEE International Green Computing Conference (IGCC’14), Dallas, TX, November 2014.

A. Charuvaka and H. Rangwala. “Convex Multi-task Relationship Learning using Hinge Loss.” In Proceedings of the IEEE Symposium Series on Computational Intelligence, December 9-12, 2014, Orlando, FL.

A. Charuvaka and H. Rangwala. “Classifying Protein Sequences using Regularized Multi-Task Learning.” Computational Biology and Bioinformatics (TCBB), IEEE/ACM Transactions on, Volume:11, Issue: 6, pages 1087-1098. DOI:10.1109/TCBB.2014.2338303

R. Clausen, B. Ma, R. Nussinov, and A. Shehu (2015) “Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm.” PLoS Comput Biol 11(9): e1004470. doi:10.1371/journal.pcbi.1004470

M. A. Haque, H. Aydin and D. Zhu (2014) “Real-Time Scheduling under Fault Bursts with Multiple Recovery Strategy.” In Proceedings of the 20th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS’14), Berlin, Germany, April 2014.

I. Hashmi, D. Veltri, N. Kabbani and A. Shehu (2014) “Knowledge-based Search and Multiobjective Filters: Proposed Structural Models of GPCR Dimerization.” In Proceedings of The 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), September 20-23, 2014, Newport Beach, CA.

K. Molloy, R. Clausen and A. Shehu (2014) “On the Stochastic Roadmap to Model Functionally-related Structural Transitions in Wildtype and Variant Proteins.” In Proceedings of the 2014 Robotics: Science and Systems Conference, July 12-16, 2014, Berkeley, CA.

Nils Ringe and Jennifer N. Victor with Christopher J. Carman. Bridging the Information Gap. Results produced on Argo cluster shown here.

T. Saha, H. Rangwala and C. Domeniconi (2014) “FLIP: Active Learning for Relational Network Classification.” In Proceedings of 7th European Conference on Machine Learning and Data Mining (ECML 2014), September 15-19, 2014 at Nancy, France.

Wright, M. Thesis: “Evaluation of heterogeneity statistics for hydrological regional frequency analysis.” PhD Civil and Infrastructure Engineering, George Mason Univeristy (2014)

Wright, M., Ferreira, C. M. and Houck, M. “The relationship between Monte Carlo estimators of heterogeneity and error for daily to monthly time steps in a small Minnesota precipitation gauge network.” Submitted to Water Resources Research, 2014

Wright, M., Ferreira, C. M. and Houck, M. “Discriminatory power of heterogeneity statistics with respect to error of precipitation quantile estimation.” Journal of Hydrologic Engineering, Volume 20, Issue 10 (October 2015)

Wright, M., Ferreira, C. M. and Houck, M. (2014) “Evaluation of heterogeneity statistics as reasonable proxies of the error of precipitation quantile estimation in the Minneapolis-St. Paul region. ” Journal of Hydrology, (513) pages 457-466