Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division's Research

View all CEMSE Research outputs currently in KAUST Repository

Research in the CEMSE Division clusters into four main areas:

  • Electrical engineering, including the development of communication networks; CMOS integrated circuits; electronic and optics/photonics devices; micro-electro-mechanical systems (MEMS); various types of sensors, measurement and detection devices; as well as functional- and nano-materials.
  • Mathematical analysis, including modeling and simulations with applications to physical, chemical, biological and environmental processes; materials science; oil exploration and reservoir management.
  • Computer science and big data, including bioinformatics; and visual and extreme computing.
  • Statistics and data science, including climate science, environmental statistics, and biostatistics.

Research in the CEMSE Division is driven by independent faculty labs and three Research Centers with which Faculty can affiliate to perform applied, goal-oriented research. Centers affiliated with the Division include:​

  • Computational Bioscience Research Center (CBRC)
  • Extreme Computing Research Center (ECRC)
  • Visual Computing Center (VCC)

In addition, from time to time, the Division undertakes special exploratory and collaborative research initiatives, currently in Sensors, Uncertainty Quantification, TIC Solid State Lighting at KAUST, and Center of Excellence for NEOM Research at KAUST.

Katsaounis, T., Kotsovos, K., Gereige, I., Basaheeh, A., Abdullah, M., Khayat, A., Al Habshi, E., Al-Saggaf, A., & Tzavaras, A.E (2019). Performance Assessment of Various PV Module Types under Desert Conditions through Device Simulations and Outdoor Measurements. EUPVSEC 2019 Proceedings, 874 - 879. doi:10.4229/EUPVSEC20192019-4CO.2.1
Christoforou, C., Galanopoulou, M., & Tzavaras A.E. (2019). Measure-valued solutions for the equations of polyconvex adiabatic thermoelasticity. Discrete & Continuous Dynamical Systems - A, 39(11), 6175-6206. doi:10.3934/dcds.2019269
Christoforou, C., Galanopoulou, M., & E. Tzavaras, A. (2019). Measure-valued solutions for the equations of polyconvex adiabatic thermoelasticity. Discrete & Continuous Dynamical Systems - A, 39(11), 6175–6206.
Huo, X., Jüngel, A., & Tzavaras, A.E. (2019). High-friction limits of Euler flows for multicomponent systems. Nonlinearity, 32(8), 2875–2913. doi:10.1088/1361-6544/ab12a6
Katsaounis, T., Kotsovos, K., Gereige, I., Basaheeh, A., Abdullah, M., Khayat, A., Al Habshi, E., Al-Saggaf, A., & Tzavaras, A.E. (2019). Performance assessment of bifacial c-Si PV modules through device simulations and outdoor measurements. Renewable Energy, 143, 1285-1298. doi:10.1016/j.renene.2019.05.057
Waldin, N., Waldner, M., Le Muzic, M., Gröller, E., Goodsell, D. S., Autin, L., … Viola, I. (2019). Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations. Computer Graphics Forum.
Lee, M.-G., Katsaounis, T., & Tzavaras, A.E. (2019). Localization in Adiabatic Shear Flow Via Geometric Theory of Singular Perturbations. Journal of Nonlinear Science, 29, 2055–2101. doi:10.1007/s00332-019-09538-3
A. Alshehri, M. Al-Qadasi, A. S. Almansouri, T. Al-Attar and H. Fariborzi, "StrongARM Latch Comparator Performance Enhancement by Implementing Clocked Forward Body Biasing," 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Bordeaux, 2018, pp. 229-232, doi: 10.1109/ICECS.2018.8617903.
Dębiec, T., Gwiazda, P., Świerczewska-Gwiazda, A., & Tzavaras, A.E. (2018). Conservation of energy for the Euler–Korteweg equations. Calculus of Variations and Partial Differential Equations, 57, 160. doi:10.1007/s00526-018-1441-8.
Lee, M.-G., Katsaounis, T., & Tzavaras, A.E (2018). Localization of Adiabatic Deformations in Thermoviscoplastic Materials. Theory, Numerics and Applications of Hyperbolic Problems II, 269-280. doi:10.1007/978-3-319-91548-7_21
Christoforou, C., & Tzavaras A.E. (2018). On The Relative Entropy Method For Hyperbolic-Parabolic Systems. Theory, Numerics and Applications of Hyperbolic Problems I, 236, 363-374. doi:10.1007/978-3-319-91545-6_29
Azad, M. (2018). Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions, (Dissertation).
Kabanov, D. (2018). Numerical Computation of Detonation Stability, (Dissertation).
Oubei, H. M. (2018). Underwater Wireless Optical Communications Systems: from System-Level Demonstrations to Channel Modeling, (Dissertation).
ElAfandy, R. T., Ebaid, M., Min, J.-W., Zhao, C., Ng, T. K., & Ooi, B. S. (2018). Flexible InGaN nanowire membranes for enhanced solar water splitting. Optics Express, 26(14), A640. doi:10.1364/oe.26.00a640
Zhao, C., Ebaid, M., Zhang, H., Priante, D., Janjua, B., Zhang, D., … Ooi, B. S. (2018). Quantified hole concentration in AlGaN nanowires for high-performance ultraviolet emitters. Nanoscale, 10(34), 15980–15988. doi:10.1039/c8nr02615g
H. Shen and M. Parsani. Positivity-preserving CE/SE schemes for solving the compressible Euler and Navier–Stokes equations on hybrid unstructured meshes. Computer Physics Communications, 232, 165–176, 2018.
Werfelmann, R. (2018). A Study of Recurrent and Convolutional Neural Networks in the Native Language Identification Task, (Thesis).
Giralt, A., de Pins, B., Cifuentes-Díaz, C., López-Molina, L., Farah, A. T., Tible, M., … Girault, J.-A. (2018). PTK2B/Pyk2 overexpression improves a mouse model of Alzheimer’s disease. Experimental Neurology, 307, 62–73. doi:10.1016/j.expneurol.2018.05.020
Sayed, S. B., Uysal, I. E., Bagci, H., & Ulku, H. A. (2018). A volume integral equation solver for quantum-corrected transient analysis of scattering from plasmonic nanostructures. 2018 International Applied Computational Electromagnetics Society Symposium (ACES). doi:10.23919/ropaces.2018.8364103
Charara, A. (2018). Exploiting Data Sparsity In Covariance Matrix Computations on Heterogeneous Systems, (Dissertation).
Mao, J., Gao, Z., Wu, Y., & Alouini, M.-S. (2018). Over-Sampling Codebook-Based Hybrid Minimum Sum-Mean-Square-Error Precoding for Millimeter-Wave 3D-MIMO. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2018.2839723
Soni, D. K., Ahmad, R., & Dubey, S. K. (2018). Biosensor for the detection of Listeria monocytogenes: emerging trends. Critical Reviews in Microbiology, 44(5), 590–608. doi:10.1080/1040841x.2018.1473331
Othoum, G., Bougouffa, S., Razali, R., Bokhari, A., Alamoudi, S., Antunes, A., … Essack, M. (2018). In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters. BMC Genomics, 19(1). doi:10.1186/s12864-018-4796-5
Konda, G., Chowdary, J. S., Srinivas, G., Gnanaseelan, C., Parekh, A., Attada, R., & Rama Krishna, S. S. V. S. (2018). Tropospheric biennial oscillation and south Asian summer monsoon rainfall in a coupled model. Journal of Earth System Science, 127(4). doi:10.1007/s12040-018-0948-x
Hou, S. (2018). Neural Inductive Matrix Completion for Predicting Disease-Gene Associations, (Thesis).
Agus, M., Boges, D., Gagnon, N., Magistretti, P. J., Hadwiger, M., & Calí, C. (2018). GLAM: Glycogen-derived Lactate Absorption Map for visual analysis of dense and sparse surface reconstructions of rodent brain structures on desktop systems and virtual environments. Computers & Graphics, 74, 85–98. doi:10.1016/j.cag.2018.04.007
Zeng, H., Wang, S., Zhou, T., Zhao, F., Li, X., Wu, Q., & Xu, J. (2018). ComplexContact: a web server for inter-protein contact prediction using deep learning. Nucleic Acids Research, 46(W1), W432–W437. doi:10.1093/nar/gky420
Wang, Y., Yan, D.-M., Liu, X., Tang, C., Guo, J., Zhang, X., & Wonka, P. (2018). Isotropic Surface Remeshing without Large and Small Angles. IEEE Transactions on Visualization and Computer Graphics, 1–1. doi:10.1109/tvcg.2018.2837115
Katsaounis, T., & Kyza, I. (2018). A Posteriori Error Analysis for Evolution Nonlinear Schrödinger Equations up to the Critical Exponent. SIAM Journal on Numerical Analysis, 56(1), 405–1434. doi:10.1137/16M1108029.
Singh, S., Shervin, S., Sun, H., Yarali, M., Chen, J., Lin, R., … Mavrokefalos, A. (2018). Using Mosaicity to Tune Thermal Transport in Polycrystalline Aluminum Nitride Thin Films. ACS Applied Materials & Interfaces, 10(23), 20085–20094. doi:10.1021/acsami.8b02899
Elayan, H., Amin, O., Shubair, R. M., & Alouini, M.-S. (2018). Terahertz communication: The opportunities of wireless technology beyond 5G. 2018 International Conference on Advanced Communication Technologies and Networking (CommNet). doi:10.1109/commnet.2018.8360286
Wang, C. (2018). Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods, (Thesis).
Marinaro, G., Das, G., Giugni, A., Allione, M., Torre, B., Candeloro, P., … Di Fabrizio, E. (2018). Plasmonic Nanowires for Wide Wavelength Range Molecular Sensing. Materials, 11(5), 827. doi:10.3390/ma11050827
Siripatana, A., Mayo, T., Knio, O., Dawson, C., Maître, O. L., & Hoteit, I. (2018). Ensemble Kalman filter inference of spatially-varying Manning’s n coefficients in the coastal ocean. Journal of Hydrology, 562, 664–684. doi:10.1016/j.jhydrol.2018.05.021
Sierra, N. J. A. (2018). A Study of Schrödinger–Type Equations Appearing in Bohmian Mechanics and in the Theory of Bose–Einstein Condensates, (Dissertation).
Park, W., Shaikh, S. F., Min, J.-W., Lee, S. K., Lee, B. H., & Hussain, M. M. (2018). Contact resistance reduction of ZnO thin film transistors (TFTs) with saw-shaped electrode. Nanotechnology, 29(32), 325202. doi:10.1088/1361-6528/aac4b9
Alsibyani, H. M. (2018). Enhancing Network Data Obliviousness in Trusted Execution Environment-based Stream Processing Systems, (Thesis).
Showail, A., & Shihada, B. (2018). Battling Latency in Modern Wireless Networks. IEEE Access, 6, 26131–26143. doi:10.1109/access.2018.2836439
Baki, Z. (2018). Local Likelihood Approach for High-Dimensional Peaks-Over-Threshold Inference, (Thesis).
Bakhsh, A. (2018). Linear Analyses of Magnetohydrodynamic Richtmyer-Meshkov Instability in Cylindrical Geometry, (Dissertation).
Berkemeier, F. (2018). A Priori Regularity of Parabolic Partial Differential Equations, (Thesis).
Alghamdi, S. M. (2018). Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Aging and Longevity in Inbred Mouse Strains, (Thesis).
Wang, W., Gao, Z., Zhao, M., Li, Y., Liu, J., & Zhang, X. (2018). DroidEnsemble: Detecting Android Malicious Applications with Ensemble of String and Structural Static Features. IEEE Access, 1–1. doi:10.1109/access.2018.2835654
Naser, R., Aldehaiman, A., Diaz Galicia, M. E., & Arold, S. T. (2018). Endogenous Control Mechanisms of FAK and PYK2 and Their Relevance to Cancer Development and Therapy. doi:10.20944/preprints201805.0125.v1
Lorenzi, T., Venkataraman, C., Lorz, A., & Chaplain, M. A. J. (2018). The role of spatial variations of abiotic factors in mediating intratumour phenotypic heterogeneity. Journal of Theoretical Biology, 451, 101–110. doi:10.1016/j.jtbi.2018.05.002
Li, Y., Li, Z., Ding, L., Hu, Y., Chen, W., & Gao, X. (2018). SupportNet: a novel incremental learning framework through deep learning and support data. doi:10.1101/317578
Duisembay, S. (2018). Convergent Difference Schemes for Hamilton-Jacobi equations, (Thesis).
Zerrouki, N., Harrou, F., Sun, Y., & Houacine, A. (2018). Vision-Based Human Action Classification Using Adaptive Boosting Algorithm. IEEE Sensors Journal, 18(12), 5115–5121. doi:10.1109/jsen.2018.2830743
Bonifazi, M., Mazzone, V., & Fratalocchi, A. (2018). X-ray created metamaterials: applications to metal-free structural colors with full chromaticity spectrum and 80 nm spatial resolution. Conference on Lasers and Electro-Optics. doi:10.1364/cleo_at.2018.jw2a.115
Priante, D., Janjua, B., Prabaswara, A., Subedi, R. C., Elafandy, R. T., Lopatin, S., … Ooi, B. S. (2018). Ti/TaN Bilayer for Efficient Injection and Reliable AlGaN Nanowires LEDs. Conference on Lasers and Electro-Optics. doi:10.1364/cleo_at.2018.jtu2a.91
Yang, L., Alouini, M.-S., & Ansari, I. S. (2018). Asymptotic Performance Analysis of Two-Way Relaying FSO Networks With Nonzero Boresight Pointing Errors Over Double-Generalized Gamma Fading Channels. IEEE Transactions on Vehicular Technology, 67(8), 7800–7805. doi:10.1109/tvt.2018.2833871
Shamim, M. H. M., Shemis, M. A., Shen, C., Oubei, H. M., Ng, T. K., Ooi, B. S., & Khan, M. Z. M. (2018). Enhanced performance of 450 nm GaN laser diodes with an optical feedback for high bit-rate visible light communication. Conference on Lasers and Electro-Optics. doi:10.1364/cleo_at.2018.jtu2a.29
Martin, C., Parkes, S., Zhang, Q., Zhang, X., McCabe, M. F., & Duarte, C. M. (2018). Use of unmanned aerial vehicles for efficient beach litter monitoring. Marine Pollution Bulletin, 131, 662–673. doi:10.1016/j.marpolbul.2018.04.045
Euán, C., Ombao, H., & Ortega, J. (2018). Spectral synchronicity in brain signals. Statistics in Medicine, 37(19), 2855–2873. doi:10.1002/sim.7695
Sun, X., Cai, W., Alkhazragi, O., Ooi, E.-N., He, H., Chaaban, A., … Ooi, B. S. (2018). 375-nm ultraviolet-laser based non-line-of-sight underwater optical communication. Optics Express, 26(10), 12870. doi:10.1364/oe.26.012870
Yan, L., Zhang, Y., Han, X., Deng, G., Li, P., Yu, Y., … Song, J. (2018). Polarization-induced hole doping in N-polar III-nitride LED grown by metalorganic chemical vapor deposition. Applied Physics Letters, 112(18), 182104. doi:10.1063/1.5023521
Boudellioua, I., Kulmanov, M., Schofield, P. N., Gkoutos, G. V., & Hoehndorf, R. (2018). DeepPVP: phenotype-based prioritization of causative variants using deep learning. doi:10.1101/311621
Boudellioua, I., Kulmanov, M., Schofield, P. N., Gkoutos, G. V., & Hoehndorf, R. (2018). OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants. doi:10.1101/311654
Lyu, K. (2018). Collision Analysis at 60-GHz mmWave Mesh Networks: The Case With Blockage and Shadowing, (Thesis).
Showail, J. (2018). System on Package (SoP) Millimeter Wave Filters for 5G Applications, (Thesis).
Lu, Y. (2018). A Game-theoretical Approach for Distributed Cooperative Control of Autonomous Underwater Vehicles, (Thesis).
Belkhatir, Z. (2018). Estimation Methods for Infinite-Dimensional Systems Applied to the Hemodynamic Response in the Brain, (Dissertation).
Seneci, T. (2018). Displacement Convexity for First-Order Mean-Field Games, (Thesis).
Evangelista, D., Ferreira, R., Gomes, D. A., Nurbekyan, L., & Voskanyan, V. (2018). First-order, stationary mean-field games with congestion. Nonlinear Analysis, 173, 37–74. doi:10.1016/
Alshahrani, M., & Hoehndorf, R. (2018). Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes. doi:10.1101/311449
Dairi, A., Harrou, F., Sun, Y., & Senouci, M. (2018). Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and $k$ -Nearest Neighbor Scheme. IEEE Sensors Journal, 18(12), 5122–5132. doi:10.1109/jsen.2018.2831082
Kobiyama, A., Ikeo, K., Reza, M. S., Rashid, J., Yamada, Y., Ikeda, Y., … Watabe, S. (2018). Metagenome-based diversity analyses suggest a strong locality signal for bacterial communities associated with oyster aquaculture farms in Ofunato Bay. Gene, 665, 149–154. doi:10.1016/j.gene.2018.04.073
Xiao, L., Heide, F., Heidrich, W., Scholkopf, B., & Hirsch, M. (2018). Discriminative Transfer Learning for General Image Restoration. IEEE Transactions on Image Processing, 27(8), 4091–4104. doi:10.1109/tip.2018.2831925
Rashid, J., Kobiyama, A., Reza, M. S., Yamada, Y., Ikeda, Y., Ikeda, D., … Watabe, S. (2018). Seasonal changes in the communities of photosynthetic picoeukaryotes in Ofunato Bay as revealed by shotgun metagenomic sequencing. Gene, 665, 127–132. doi:10.1016/j.gene.2018.04.071
Yang, X. (2018). Regularized Discriminant Analysis: A Large Dimensional Study, (Thesis).
Schmidt, A., Marabita, F., Kiani, N. A., Gross, C. C., Johansson, H. J., Éliás, S., … Tegnér, J. (2018). Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3. BMC Biology, 16(1). doi:10.1186/s12915-018-0518-3
Reza, M. S., Kobiyama, A., Yamada, Y., Ikeda, Y., Ikeda, D., Mizusawa, N., … Watabe, S. (2018). Taxonomic profiles in metagenomic analyses of free-living microbial communities in the Ofunato Bay. Gene, 665, 192–200. doi:10.1016/j.gene.2018.04.075
Ryu, T., Veilleux, H. D., Donelson, J. M., Munday, P. L., & Ravasi, T. (2018). The epigenetic landscape of transgenerational acclimation to ocean warming. Nature Climate Change, 8(6), 504–509. doi:10.1038/s41558-018-0159-0
Toye, H., Kortas, S., Zhan, P., & Hoteit, I. (2018). A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea. Journal of Computational Science, 27, 46–56. doi:10.1016/j.jocs.2018.04.018
Kudo, T., Kobiyama, A., Rashid, J., Reza, M. S., Yamada, Y., Ikeda, Y., … Watabe, S. (2018). Seasonal changes in the abundance of bacterial genes related to dimethylsulfoniopropionate catabolism in seawater from Ofunato Bay revealed by metagenomic analysis. Gene, 665, 174–184. doi:10.1016/j.gene.2018.04.072
Chen, L., & Shang, S. (2018). Approximate spatio-temporal top-k publish/subscribe. World Wide Web. doi:10.1007/s11280-018-0564-3
Reza, M. S., Kobiyama, A., Yamada, Y., Ikeda, Y., Ikeda, D., Mizusawa, N., … Watabe, S. (2018). Basin-scale seasonal changes in marine free-living bacterioplankton community in the Ofunato Bay. Gene, 665, 185–191. doi:10.1016/j.gene.2018.04.074
Kim, J.-S., Gao, X., & Rzhetsky, A. (2018). RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning. PLOS Computational Biology, 14(4), e1006106. doi:10.1371/journal.pcbi.1006106
Zhang, W., Tian, R.-M., Sun, J., Bougouffa, S., Ding, W., Cai, L., … Qian, P.-Y. (2018). Genome Reduction in Psychromonas Species within the Gut of an Amphipod from the Ocean’s Deepest Point . mSystems, 3(3). doi:10.1128/msystems.00009-18
Majhi, S. M., Naik, G. K., Lee, H.-J., Song, H.-G., Lee, C.-R., Lee, I.-H., & Yu, Y.-T. (2018). Au@NiO core-shell nanoparticles as a p-type gas sensor: Novel synthesis, characterization, and their gas sensing properties with sensing mechanism. Sensors and Actuators B: Chemical, 268, 223–231. doi:10.1016/j.snb.2018.04.119
Xue, F., Zhang, J., Hu, W., Hsu, W.-T., Han, A., Leung, S.-F., … Li, L.-J. (2018). Multidirection Piezoelectricity in Mono- and Multilayered Hexagonal α-In2Se3. ACS Nano, 12(5), 4976–4983. doi:10.1021/acsnano.8b02152
Krupskii, P., & Genton, M. G. (2018). Linear factor copula models and their properties. Scandinavian Journal of Statistics. doi:10.1111/sjos.12325
Roy, S., Schmeier, S., Kaczkowski, B., Arner, E., Alam, T., Ozturk, M., … Suzuki, H. (2018). Transcriptional landscape of Mycobacterium tuberculosis infection in macrophages. Scientific Reports, 8(1). doi:10.1038/s41598-018-24509-6
Ikram, M., Sharawi, M. S., Shamim, A., & Sebak, A. (2018). A multiband dual-standard MIMO antenna system based on monopoles (4G) and connected slots (5G) for future smart phones. Microwave and Optical Technology Letters, 60(6), 1468–1476. doi:10.1002/mop.31180
Lin, R., Galan, S. V., Sun, H., Hu, Y., Alias, M. S., Janjua, B., … Li, X. (2018). Tapering-induced enhancement of light extraction efficiency of nanowire deep ultraviolet LED by theoretical simulations. Photonics Research, 6(5), 457. doi:10.1364/prj.6.000457
Litvinenko, A. (2018). Tucker tensor analysis of Matern functions in spatial statistics, SIAM UQ 2018 Conference.
Litvinenko, A. (2018). Application of Parallel Hierarchical Matrices in Spatial Statistics and Parameter Identification, SIAM UQ Conference.
Hawerkamp, H. C., Kislat, A., Gerber, P., Pollet, M., Soshilov, A. A., Denison, M. S., … Meller, S. (2018). 1057 Vemurafenib acts as an aryl hydrocarbon receptor antagonist. Journal of Investigative Dermatology, 138(5), S179. doi:10.1016/j.jid.2018.03.1070
Ferreira, R., Gomes, D. A., Tada, T. (2018). Existence of weak solutions to first-order stationary mean-field games with Dirichlet conditions, (Preprint).
Linn, S. C., Mustonen, A. M., Silva, K. A., Kennedy, V. E., Sundberg, B. A., Bechtold, L. S., … Sundberg, J. P. (2018). 665 Nail lesions in 30 old inbred mouse strains. Journal of Investigative Dermatology, 138(5), S113. doi:10.1016/j.jid.2018.03.674
Mohammed, H., Corte-León, H., Ivanov, Y. P., Lopatin, S., Moreno, J. A., Chuvilin, A., Salimath, A., Manchon, A., Kazakova, O., Kosel, J. (2018). Current Controlled Magnetization Switching in Cylindrical Nanowires for High-Density 3D Memory Applications, (Preprint).
Zhang, Q., Yilmaz, E., & Liang, S. (2018). Ranking-based Method for News Stance Detection. Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW ’18. doi:10.1145/3184558.3186919
Obeed, M., Salhab, A. M., Zummo, S. A., & Alouini, M.-S. (2018). Joint Optimization of Power Allocation and Load Balancing for Hybrid VLC/RF Networks. Journal of Optical Communications and Networking, 10(5), 553. doi:10.1364/jocn.10.000553
Alwassel, H. (2018). Efficient Temporal Action Localization in Videos, (Thesis).
Attada, R., Kumar, P., & Dasari, H. P. (2018). Assessment of Land Surface Models in a High-Resolution Atmospheric Model during Indian Summer Monsoon. Pure and Applied Geophysics, 175(10), 3671–3696. doi:10.1007/s00024-018-1868-z
Nassar, J. M., Khan, S. M., Velling, S. J., Diaz-Gaxiola, A., Shaikh, S. F., Geraldi, N. R., … Hussain, M. M. (2018). Compliant lightweight non-invasive standalone “Marine Skin” tagging system. Npj Flexible Electronics, 2(1). doi:10.1038/s41528-018-0025-1
Dutta, A., Li, X., Richtarik, P. (2018). Weighted Low-Rank Approximation of Matrices and Background Modeling, (Preprint).
Aljaafari, N. (2018). Ichthyoplankton Classification Tool using Generative Adversarial Networks and Transfer Learning, (Thesis).
Al Farhan, M. A., & Keyes, D. E. (2018). Optimizations of Unstructured Aerodynamics Computations for Many-core Architectures. IEEE Transactions on Parallel and Distributed Systems, 29(10), 2317–2332. doi:10.1109/tpds.2018.2826533
Li, P., Jiang, L. J., & Bagci, H. (2018). Discontinuous Galerkin Time-Domain Modeling of Graphene Nanoribbon Incorporating the Spatial Dispersion Effects. IEEE Transactions on Antennas and Propagation, 66(7), 3590–3598. doi:10.1109/tap.2018.2826567
Ruf, S. F., Egersted, M., Shamma, J. S. (2018). Herding Complex Networks, (Preprint).
Euán, C., Ombao, H., & Ortega, J. (2018). The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure. Journal of Classification, 35(1), 71–99. doi:10.1007/s00357-018-9250-5
Alfadly, M. (2018). Analytic Treatment of Deep Neural Networks Under Additive Gaussian Noise, (Thesis).
Giancola, S., Amine, M., Dghaily, T., Ghanem, B. (2018). SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos, (Preprint).
Moussi, K., & Kosel, J. (2018). 3-D Printed Biocompatible Micro-Bellows Membranes. Journal of Microelectromechanical Systems, 27(3), 472–478. doi:10.1109/jmems.2018.2819994
Teng, H., Cao, M. D., Hall, M. B., Duarte, T., Wang, S., & Coin, L. J. M. (2018). Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning. GigaScience, 7(5). doi:10.1093/gigascience/giy037
Wang, W.-J., Yang, H.-C., & Alouini, M.-S. (2018). Wireless Transmission of Big Data: A Transmission Time Analysis Over Fading Channel. IEEE Transactions on Wireless Communications, 17(7), 4315–4325. doi:10.1109/twc.2018.2822801
Amin, M., Siddiqui, O., Farhat, M., & Khelif, A. (2018). A perfect Fresnel acoustic reflector implemented by a Fano-resonant metascreen. Journal of Applied Physics, 123(14), 144502. doi:10.1063/1.5012012
Litvinenko, A. (2018). Likelihood Approximation With Parallel Hierarchical Matrices For Large Spatial Datasets, Inverse Problems Workshop (UNQW04).
Chien, Y.-R., Chen, J.-W., & Xu, S. S.-D. (2018). A Multilayer Perceptron-Based Impulsive Noise Detector With Application to Power-Line-Based Sensor Networks. IEEE Access, 6, 21778–21787. doi:10.1109/access.2018.2825239
Ansari, A. R., Saeed, N., Ul Haq, M. I., & Cho, S. (2018). Accurate 3D Localization Method for Public Safety Applications in Vehicular Ad-Hoc Networks. IEEE Access, 6, 20756–20763. doi:10.1109/access.2018.2825371
Hamdi, A. (2018). Cascading Generative Adversarial Networks for Targeted, (Thesis).
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