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.

Bajic, V. B. (2016). Opening Remarks, KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology. https://hdl.handle.net/10754/601412
Ravasi, T., Mavromatis, C., Bokil, N. J., Schembri, M. A., & Sweet, M. J. (2016). Co-transcriptomic Analysis by RNA Sequencing to Simultaneously Measure Regulated Gene Expression in Host and Bacterial Pathogen. Toll-Like Receptors, 145–158. doi:10.1007/978-1-4939-3335-8_10
Haskovec, J., Markowich, P., Perthame, B., & Schlottbom, M. (2016). Notes on a PDE system for biological network formation. Nonlinear Analysis, 138, 127–155. doi:10.1016/j.na.2015.12.018
Showail, A. (2016). Towards Optimal Buffer Size in Wi-Fi Networks, (Dissertation). https://hdl.handle.net/10754/595314
Al Jahdali, R., & Wu, Y. (2016). High transmission acoustic focusing by impedance-matched acoustic meta-surfaces. Applied Physics Letters, 108(3), 031902. doi:10.1063/1.4939932
Tang, C., Bo, P., Wallner, J., & Pottmann, H. (2016). Interactive Design of Developable Surfaces. ACM Transactions on Graphics, 35(2), 1–12. doi:10.1145/2832906
Chen, Z., Chen, Z., Ming, Y., Wu, Y., & Lu, Y. (2016). Tunable waveguide bends with graphene-based anisotropic metamaterials. Applied Physics Express, 9(2), 025101. doi:10.7567/apex.9.025101
Margineanu, M. B., Julfakyan, K., Sommer, C., Perez, J. E., Contreras, M. F., Khashab, N., … Ravasi, T. (2016). Semi-automated quantification of living cells with internalized nanostructures. Journal of Nanobiotechnology, 14(1). doi:10.1186/s12951-015-0153-x
Yazicioglu, A. Y., Egerstedt, M., & Shamma, J. S. (2017). Communication-Free Distributed Coverage for Networked Systems. IEEE Transactions on Control of Network Systems, 4(3), 499–510. doi:10.1109/tcns.2016.2518083
Bedeer, E., Amin, O., Dobre, O. A., & Ahmed, M. H. (2016). Energy-Aware Cognitive Radio Systems. Studies in Systems, Decision and Control, 247–272. doi:10.1007/978-3-319-27568-0_11
Li, P., Shi, Y., Jiang, L. J., & Bagci, H. (2016). A DGTD Scheme for Modeling the Radiated Emission From DUTs in Shielding Enclosures Using Near Electric Field Only. IEEE Transactions on Electromagnetic Compatibility, 58(2), 457–467. doi:10.1109/temc.2016.2515363
Ahmed, S., Alouini, M.-S., Jardak, S. (2016). Generation of correlated finite alphabet waveforms using gaussian random variables, Patent. https://hdl.handle.net/10754/619793
Xie, Q., Zhang, X., Li, Z., & Zhou, X. (2016). Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1258–1271. doi:10.1109/tkde.2016.2516541
Chaaban, A., Rezki, Z., & Alouini, M.-S. (2016). On the Capacity of the Intensity-Modulation Direct-Detection Optical Broadcast Channel. IEEE Transactions on Wireless Communications, 15(5), 3114–3130. doi:10.1109/twc.2016.2517152
Paredes-Valverde, M. A., Valencia-García, R., Rodríguez-García, M. Á., Colomo-Palacios, R., & Alor-Hernández, G. (2016). A semantic-based approach for querying linked data using natural language. Journal of Information Science, 42(6), 851–862. doi:10.1177/0165551515616311
Dia, B. M. (2016). Uncertainty quantification for mean field games in social interactions, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624870
Gomes, D. A. (2016). Two numerical methods for mean-field games, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624873
Nobile, F., Haji, A. A. L., Tamellini, L., Tempone, R. (2016). Multi-Index Monte Carlo and stochastic collocation methods for random PDEs, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624871
Hall, E., Haakon, H., Sandberg, M., Szepessy, A., Tempone, R. (2016). Computable error estimates for Monte Carlo finite element approximation of elliptic PDE with lognormal diffusion coefficients, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624869
Litvinenko, A., Genton, M. G., Sun, Y., Keyes, D. E. (2016). Estimation of uncertain parameters of large Matern covariance functions with using hierarchical matrix technique, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624872
Haji, A. A. L. (2016). A study of Monte Carlo methods for weak approximations of stochastic particle systems in the mean-field?, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624865
Emwas, A.-H., Roy, R., McKay, R. T., Ryan, D., Brennan, L., Tenori, L., … Wishart, D. S. (2016). Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis. Journal of Proteome Research, 15(2), 360–373. doi:10.1021/acs.jproteome.5b00885
Hoel, H., Chernov, A., Law, K., Nobile, F., Tempone, R. (2016). Multilevel ensemble Kalman filtering, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624861
Scavino, M. (2016). Bayesian techniques for fatigue life prediction and for inference in linear time dependent PDEs, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624867
Tempone, R. (2016). A potpourri of results from the KAUST SRI-UQ, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624863
Vilanova, P. (2016). An efficient forward-reverse expectation-maximization algorithm for statistical inference in stochastic reaction networks, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624859
Liu, C., & Huang, J. (2016). Physicist meets chemist. Nature Nanotechnology, 11(1), 104–104. doi:10.1038/nnano.2015.317
Alabdulmohsin, I., Cisse, M., Gao, X., & Zhang, X. (2016). Large margin classification with indefinite similarities. Machine Learning, 103(2), 215–237. doi:10.1007/s10994-015-5542-8
AlQuwaiee, H., Ansari, I. S., & Alouini, M.-S. (2016). On the Maximum and Minimum of Double Generalized Gamma Variates With Applications to the Performance of Free-Space Optical Communication Systems. IEEE Transactions on Vehicular Technology, 65(11), 8822–8831. doi:10.1109/tvt.2016.2515662
Litvinenko, A., Genton, M. G., Sun, Y. (2016). Hierarchical matrix approximation of large covariance matrices, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624794
Crocce, F., Häppölä, J., Keissling, J., Tempone, R. (2016). Tight Error Bounds for Fourier Methods for Option Pricing for Exponential Levy Processes, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624829
Bayer, C., Moraes, A., Tempone, R., Vilanova, P. (2016). An Efficient Forward-Reverse EM Algorithm for Statistical Inference in Stochastic Reaction Networks, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624797
Hall, E., Haakon, H., Sandberg, M., Szepessy, A., Tempone, R. (2016). Computable error estimates for FEMs for elliptic PDE with lognormal data, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624832
Raies, A. B., & Bajic, V. B. (2016). In silico toxicology: computational methods for the prediction of chemical toxicity. Wiley Interdisciplinary Reviews: Computational Molecular Science, 6(2), 147–172. doi:10.1002/wcms.1240
Ballesio, M., Tempone, R., Vilanova, P. (2016). Indirect Inference for Stochastic Differential Equations Based on Moment Expansions, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624800
Malenova, G., Motamed, M., Runborg, O., Tempone, R. (2016). Computation of High-Frequency Waves with Random Uncertainty, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624837
Evangelista, D., Gomes, D. A. (2016). New a priori estimates for mean-field games with congestion, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624803
Le, M. O. (2016). Polynomial Chaos Surrogates for Bayesian Inference, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624849
Abdelhady, A. M., Amin, O., Alouini, M.-S. (2016). Optimized Energy Efficiency and Spectral Efficiency Resource Allocation Strategies for Phantom Cellular Networks, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624807
Memmi, A., Rezki, Z., Alouini, M.-S. (2016). Device-to-Device Underlay Cellular Networks with Uncertain Channel State Information, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624810
Rached, N. B., Kammoun, A., Alouini, M.-S., Tempone, R. (2016). A Unified Simulation Approach for the Fast Outage Capacity Evaluation over Generalized Fading Channels, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624813
Haji, A. A. L., Nobile, F., Tamellini, L., Tempone, R. (2016). Multi-Index Stochastic Collocation (MISC) for random elliptic PDEs, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624783
Benkhelifa, F., Alouini, M.-S. (2016). Simultaneous Wireless Information and Power Transfer for MIMO Amplify-and-Forward Relay Systems, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624817
Nobile, F., Tamellini, L., Tempone, R. (2016). Quasi-optimal sparse-grid approximations for random elliptic PDEs, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624786
Desmal, A., Bagci, H. (2016). A Nonlinear Sparse Electromagnetic Imaging Scheme Accelerated with Projected Steepest Descent Algorithm, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624820
Migliorati, G., Nobile, F., Tempone, R. (2016). Convergenceestimates in probabilityand in expectation for discrete least squares with noisy evaluations atrandompoints, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624789
Uysal, I. E., Ulku, H. A., Bagci, H. (2016). Analysis of Transient Electromagnetic Interactions on Nanodevices Using a Quantum-corrected Integral Equation Approach, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624823
Chernov, A., Hoel, H., Law, K., Nobile, F., Tempone, R. (2016). Multilevel ensemble Kalman filter, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624792
Long, Q., Kim, D., Bisetti, F., Farooq, A., Tempone, R., Knio, O. (2016). Optimal design of experiments considering noisy control parameters for the inference of Furan combustion reaction rate, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624826
Moraes, A., Ruggeri, F., Tempone, R., Vilanova, P. (2016). Multiscale Modeling of Wear Degradation, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624795
Crocce, F., Häppölä, J., Iania, A., Tempone, R. (2016). Basket call option pricing for CCVG using sparse grids, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624830
Iglesias, M., Sawlan, Z. A., Scavino, M., Tempone, R., Wood, C. (2016). Bayesian inference of the heat transfer properties of a wall using experimental data, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624798
Bayer, C., Siebenmorgen, M., Tempone, R. (2016). A new smoothing technique for European basket options, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624834
Wang, T., Le, M. O., Hoteit, I., Knio, O. (2016). Time-optimal path planning in uncertain flow fields using ensemble method, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624801
Icardi, M., Tempone, R. (2016). Flow in Random Microstructures: a Multilevel Monte Carlo Approach, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624838
Naous, R., Al-Shedivat, M., Neftci, E., Cauwenberghs, G., Salama, K. N. (2016). Neuro-Inspired Computing with Stochastic Electronics, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624804
Rezki, Z. (2016). Secure Communications over Wireless Networks Even 1-bit Feedback Helps Achieving Security, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624852
Hyadi, A., Rezki, Z., Khisti, A., Alouini, M.-S. (2016). Secure Broadcasting with Uncertain Channel State Information, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624808
Raies, A.B., & Bajic, V. B. (2016). In silico toxicology: computational methods for the prediction of chemical toxicity. Wiley Interdiscip Rev Comput Mol Sci. 2016 Mar;6(2):147-172. DOI: 10.1002/wcms.1240
Soury, H., Alouini, M.-S. (2016). New Results on the Sum of Two Generalized Gaussian Random Variables, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624811
Sifaou, H., Kammoun, A., Saguinetti, L., Debbah, M., Alouini, M.-S. (2016). Polynomial Expansion of the Power Minimization Precoder in Large-Scale MIMO Systems, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624814
Moraes, A., Tempone, R., Vilanova, P. (2016). Hybrid Chernoff Tau-Leap, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624784
Litvinenko, A., Haji, A. A. L., Uysal, I. E., Ulku, H. A., Oppelstrup, J., Tempone, R., Bagci, H. (2016). Computation of Electromagnetic Fields Scattered From Dielectric Objects of Uncertain Shapes Using MLMC, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624818
Nobile, F., Tamellini, L., Tesei, F., Tempone, R. (2016). An adaptive sparse grid algorithm for elliptic PDEs with lognormal diffusion coefficient, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624787
Sandhu, A. I., Desmal, A., Bagci, H. (2016). A Sparsity-Regularized Reconstruction of Two-Dimensional Piecewise Continuous Domains!, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624821
Ben, H. C., Moraes, A., Tempone, R. (2016). Multilevel Drift-Implicit Tau-Leap, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624790
Li, P., Jiang, L., Bagci, H. (2016). An Adaptive Hierarchical Sparse Grid Collocation Method for Stochastic Characterizaton of Electromagnetic/Circuit Systems, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624824
Litvinenko, A., Matthies, H. G., Rosic, B. V., Zander, E. (2016). Solving inverse problem via non-linear update of PCE coefficients, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624793
Dia, B. M., Espath, L. F., Prudhomme, S., Selvakumaran, L., Tempone, R. (2016). Mathematical Model of Delamination in Composite Materials, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624827
Ruggeri, F., Sawlan, Z. A., Scavino, M., Tempone, R. (2016). Bayesian Inference for Linear Parabolic PDEs with Noisy Boundary Conditions, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624796
Gomes, D. A., Machado, V. R. (2016). Some Numerical Aspects on Crowd Motion - The Hughes Model, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624831
Long, Q., Motamed, M., Tempone, R. (2016). Fast Bayesian Optimal Experimental Design for Seismic Source Inversion, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624799
Babuska, I., Motamed, M., Tempone, R. (2016). A Stochastic Multiscale Method for the Elastic Wave Equations Arising from Fiber Composites, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624836
Gomes, D. A., Nurbekyan, L., Prazeres, M. (2016). First order mean field games - explicit solutions, perturbations and connection with classical mechanics, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624802
Knio, O. (2016). Surrogate based approaches to parameter inference in ocean models, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624848
Navarro, M., Le, M. O., Knio, O. (2016). A non-intrusive approach for PC analysis of SDEs driven by Wiener noise, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624806
Häppölä, J. (2016). Error Analysis for Fourier Methods for Option Pricing, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624854
Znaidi, M. R., Rezki, Z., Tembine, H., Alouini, M.-S. (2016). Performance Analysis of Communications under Energy Harvesting Constraints with noisy CSI, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624809
Boukhedimi, I., Kammoun, A., Alouini, M.-S. (2016). Performance Analysis of Coordination Strategies in Two-Tier Heterogenous Networks, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624812
Haji, A. A. L., Nobile, F., Tempone, R. (2016). Multi-Index Monte Carlo (MIMC), Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624782
Sboui, L., Rezki, Z., Salem, A. S., Alouini, M.-S. (2016). Energy Efficient Power Allocation for Cognitive MIMO Channels, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624816
Jaber, N., Ramini, A., Carreno, A. A. A., & Younis, M. I. (2016). Higher order modes excitation of electrostatically actuated clamped–clamped microbeams: experimental and analytical investigation. Journal of Micromechanics and Microengineering, 26(2), 025008. doi:10.1088/0960-1317/26/2/025008
Moraes, A., Tempone, R., Vilanova, P. (2016). Multilevel Hybrid Chernoff Tau-Leap, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624785
Desmal, A., Bagci, H. (2016). Sparse Electromagnetic Imaging Using Nonlinear Landweber Iterations, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624819
Litvinenko, A., Dia, B. M. (2016). Book of abstracts with posters, UQAW 2016, (Meetings and Proceedings). https://hdl.handle.net/10754/623748
Moraes, A., Tempone, R., Vilanova, P. (2016). A multilevel adaptive reaction-splitting method for SRNs, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624788
Sayed, S. B., Ulku, H. A., Bagci, H. (2016). Transient Analysis of Electromagnetic Wave Interactions on Ferromagnetic Structures Using Landau-Lifshitz-Gilbert and Volume Integral Equations, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624822
Babuska, I., Sawlan, Z. A., Scavino, M., Szabó, B., Tempone, R. (2016). Bayesian inference and model comparison for metallic fatigue data, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624791
Kim, D., El, G. I., Bisetti, F., Farooq, A., Knio, O. (2016). New Bayesian inference method using two steps of Markov chain Monte Carlo and its application to shock tube experiment data of Furan oxidation, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016). https://hdl.handle.net/10754/624825
Alshamary, H. A. J., Al-Naffouri, T., Zaib, A., & Xu, W. (2015). Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution. 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE). doi:10.1109/dsp-spe.2015.7369548
Carpenter, M. H., Parsani, M., Nielsen, E. J., & Fisher, T. C. (2016). Towards an Entropy Stable Spectral Element Framework for Computational Fluid Dynamics. 54th AIAA Aerospace Sciences Meeting. doi:10.2514/6.2016-1058
Douik, A., Sorour, S., Al-Naffouri, T. Y., & Alouini, M.-S. (2016). Instantly decodable network coding for real-time device-to-device communications. EURASIP Journal on Advances in Signal Processing, 2016(1). doi:10.1186/s13634-015-0293-z
Saad, A. S., Saad, B., & Saad, M. (2016). Numerical study of compositional compressible degenerate two-phase flow in saturated–unsaturated heterogeneous porous media. Computers & Mathematics with Applications, 71(2), 565–584. doi:10.1016/j.camwa.2015.12.010
Perez, J. E., Contreras, M. F., Vidal, E. V., Felix, S. L. P., Margineanu, M. B., Luongo, G., Porter, A. E., Dunlop, I. E., Ravasi, T., Kosel, J. (2016). Supplementary Material for: Cytotoxicity and intracellular dissolution of nickel nanowires, (Dataset). doi:10.6084/M9.FIGSHARE.C.2169857
Hoehndorf, R., AlShahrani, M., Gkoutos, G., Gosline, G., Groom, Q., Hamann, T., Kattge, J., Oliveira, S. d., Schmidt, M., Sierra, S., Smets, E., Vos, R., Weiland, C. (2016). Supplementary Material for: The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants, (Dataset). doi:10.6084/m9.figshare.c.3643244
Ba, A. W., Soufan, O., Essack, M., Kalnis, P., Bajic, V. B. (2016). Supplementary Material for: DASPfind: new efficient method to predict drug–target interactions, (Dataset). doi:10.6084/m9.figshare.c.3698116
Chaaban, A., Rezki, Z., Alouini, M.-S. (2016). Capacity Bounds for Parallel Optical Wireless Channels, Technical Report. https://hdl.handle.net/10754/594051
Xu, G., Genton, M. G. (2016). Supplementary Material for: Tukey g-and-h Random Fields, (Dataset). doi:10.6084/m9.figshare.3487658
Ryu, T. W., Seridi, L., Moitinho-Silva, L., Oates, M., Liew, Y., Mavromatis, C. H., Wang, X., Haywood, A., Lafi, F., Kupresanin, M., Sougrat, R., Alzahrani, M. A., Giles, E., Ghosheh, Y., Schunter, C. M., Baumgarten, S., Berumen, M., Gao, X., Aranda, M., Foret, S., Gough, J., Voolstra, C., Hentschel, U., Ravasi, T. (2016). Supplementary Material for: Hologenome analysis of two marine sponges with different microbiomes, (Dataset). doi:10.6084/m9.figshare.c.3597026
Yassine, O., Li, E. Q., Alfadhel, A., Zaher, A., Kavaldzhiev, M., Thoroddsen, S. T., & Kosel, J. (2016). Magnetically Triggered Monodispersed Nanocomposite Fabricated by Microfluidic Approach for Drug Delivery. International Journal of Polymer Science, 2016, 1–8. doi:10.1155/2016/1219469
Xie, W., Kurtek, S., Bharath, K., Sun, Y. (2016). Supplementary Material for: A Geometric Approach to Visualization of Variability in Functional Data, (Dataset). doi:10.6084/m9.figshare.4478426
Lau, C. P., Alabbasi, A., & Shihada, B. (2017). An Efficient Live TV Scheduling System for 4G LTE Broadcast. IEEE Systems Journal, 11(4), 2737–2748. doi:10.1109/jsyst.2015.2493180
Castruccio, S., Genton, M. G. (2016). Supplementary Material for: Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature, (Dataset). doi:10.6084/M9.FIGSHARE.1378931
Smirnova, E., Kwan, J., Siu, R., Gao, X., Zoidl, G., Demeler, B., Saridakis, V., Donaldson, L. (2016). Supplementary Material for: A new mode of SAM domain mediated oligomerization observed in the CASKIN2 neuronal scaffolding protein, (Dataset). doi:10.6084/m9.figshare.c.3601367
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