CCIMI Newsletter - Summer 2019

Welcome to the Summer edition of the CCIMI newsletter, featuring updates on recent activities from in and around the Institute.

The Centre for Mathematical Sciences was the venue for the third annual CCIMI academic conference. A highly interesting and collaborative day with a great range of talks and updates from the CCIMI. Read more below to see the full report. An exciting new event was run by the British Antarctic Survey, looking at applying machine learning techniques to assess and combat environmental challenges. The hugely successful event also included a hands-on data challenge for participants. Coming up on the 27th November, the CCIMI will host its third annual connecting with industry day at the Isaac Newton Institute. The programme of talks is available via the link below. Don't forget to register!

We're very much looking forward to welcoming a record number of PhD students this term. 14 new students are joining the Cambridge Mathematics of Information (CMI) programme with more coming in the next edition of the newsletter.

Scroll down to read about these items and much more.

Also, keep checking in with the CCIMI website as it's constantly being updated with new events and activities. Don't forget to share the newsletter with interested parties, anyone can register to keep updated by visiting our website.

The British Antarctic Survey (BAS) recently hosted a two-day machine learning for environmental sciences workshop, discussing the application of data science techniques to environmental challenges. The CCIMI is proud to help support this new and topical event. We're already looking forward to next year.

The CCIMI connecting with industry day will be taking place on the 27th November at the Isaac Newton Institute, Cambridge. There is an exciting programme of talks planned from our members, partners and collaborators. Please use the link below to register and for further information.

We are currently hosting these visitors:

Sören Dittmer, University of Bremen is visiting until November

We look forward to the upcoming visits from:

Recent visitors include:

Billy Junqi Tang and Alessandro Perelli from the University of Edinburgh are both visiting in September
Aurelie Bugeau, University of Bordeaux and Nicolas Papadakis, Institute of Mathematics of Bordeaux, concluded their visits in May
Yehuda Dar visited from the Technion, Israel Institute of Technology in May
Ozan Öktem, KTH Royal Institute of Technology, visited until June
Nicolas Garcia Trillos, University of Wisconsin-Madison visited and gave a short course in June
Jeff Calder, University of Minnesota also visited the CCIMI in June
Christian Etmann, University of Bremen, recently visited us in June

Information on these and other talks/seminars can be found at talks.cam

Keep an eye on our events page, to find out about other upcoming events and to find out more about our seminar series which is open to all!

Awards, Recognition and Achievements

Congratulations to CCIMI members on recent achievements, in particular:

Anders Hansen was awarded the a Whitehead Prize for his contributions to computational mathematics, especially his development of the Solvability Complexity Index and its corresponding classification hierarchy.

Adrian Kent has been awarded a 5 year research grant to co-lead one of the work packages in the second phase of the UK Quantum Communications Hub, developing new protocols and technologies for quantum and relativistic cryptography. These will be implemented over the UK Quantum Network, which currently has three nodes in Cambridge and one in Ipswich, and will shortly extend to Bristol. The Hub is also developing space-based implementations involving ground-to-satellite and satellite-to-satellite links.

CCIMI Director, Carola Schönlieb received the Calderon Prize of The Inverse Problems International Association (IPIA). This prestigious prize is awarded to a researcher under the age of 40 who has made distinguished contributions to the field of inverse problems.

Congratulations to Rajen Shah and Perla Sousi on their promotion to Readerships.

Publications

Ashton, A. C. L., & Fokas, A. S. (2019). Relations among the Riemann Zeta and Hurwitz Zeta Functions, as Well as Their Products. Symmetry, 11(6), 754.

de Barros, F. P. J., Colbrook, M. J., & Fokas, A. S. (2019). A hybrid analytical-numerical method for solving advection-dispersion problems on a half-line. International Journal of Heat and Mass Transfer, 139, 482-491.

Berestycki, N., & Sengul, B. (2014). Cutoff for conjugacy-invariant random walks on the permutation group. arXiv preprint arXiv:1410.4800.

Berestycki, N., & Yadin, A. (2019). Condensation of a self-attracting random walk. In Annales de l'Institut Henri Poincaré, Probabilités et Statistiques (Vol. 55, No. 2, pp. 835-861). Institut Henri Poincaré.

Blanco, E., Hodgson, D. J., Hermes, M., Besseling, R., Hunter, G. L., Chaikin, P. M., ... & Poon, W. C. (2019). Conching chocolate is a prototypical transition from frictionally jammed solid to flowable suspension with maximal solid content. Proceedings of the National Academy of Sciences, 116(21), 10303-10308.

Briant, M., Merino-Aceituno, S., & Mouhot, C. (2019). From Boltzmann to incompressible Navier–Stokes in Sobolev spaces with polynomial weight. Analysis and Applications, 17(01), 85-116.

Burger, M., Korolev, Y., Schönlieb, C. B., & Stollenwerk, C. (2019, June). A total variation based regularizer promoting piecewise-Lipschitz reconstructions. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 485-497). Springer, Cham.

Burger, M., Korolev, Y., Schönlieb, C. B., & Stollenwerk, C. (2019, June). A total variation based regularizer promoting piecewise-Lipschitz reconstructions. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 485-497). Springer, Cham.

Colbrook, M., Roman, B., & Hansen, A. (2019). How to Compute Spectra with Error Control.. Physical Review Letters, 122 (250201)https://doi.org/10.1103/PhysRevLett.122.250201

Corona, V., Debroux, N., Aviles-Rivero, A. I., Williams, G., Graves, M., Le Guyader, C., & Schönlieb, C. Motion Correction Resolved for MRI via Multi-Tasking: A Simultaneous Reconstruction and Registration Approach. International Society for Magnetic Resonance in Medicine. https://doi.org/10.17863/CAM.41909

Cotterill, E., & Eglen, S. J. (2019). Burst detection methods. In In Vitro Neuronal Networks (pp. 185-206). Springer, Cham.

Ehrhardt, M. J., Markiewicz, P. J., & Schönlieb, C. B. (2019). Faster pet reconstruction with non-smooth priors by randomization and preconditioning. Physics in Medicine & Biology.

Esposito, A., & Venkitaraman, A. R. (2019). Enhancing Biochemical Resolution by Hyperdimensional Imaging Microscopy. Biophysical journal, 116(10), 1815-1822.

Fawzi, H. (2019). On representing the positive semidefinite cone using the second-order cone. Mathematical Programming, 175(1-2), 109-118.

Gangbo, W., Haskovec, J., Markowich, P., & Sierra, J. (2019). An Optimal Transport Approach for the Kinetic Bohmian Equation. Journal of Mathematical Sciences, 238(4), 415-452.

Gao, J., Condon, M., & Iserles, A. (2019). Spectral computation of highly oscillatory integral equations in laser theory. Journal of Computational Physics, 395, 351-381. https://doi.org/10.1016/j.jcp.2019.06.045

Haskovec, J., Kreusser, L. M., & Markowich, P. (2019). Rigorous continuum limit for the discrete network formation problem. Communications in Partial Differential Equations, 1-27.

Heydecker, D., Maierhofer, G., Aviles-Rivero, A. I., Fan, Q., Chen, D., Schönlieb, C. B., & Süsstrunk, S. (2019). Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal. IEEE Transactions on Image Processing.

Kalimeris, K. & Fokas, A.S. (2019). A Novel Integral Equation for the Riemann Zeta Function and Large t-Asymptotics. Mathematics, 7, 650.

Kent, A. (2019). S-money: virtual tokens for a relativistic economy. Proceedings of the Royal Society A, 475(2225), 20190170.

Kent, A. (2019). Summoning, No-Signalling and Relativistic Bit Commitments. Entropy, 21(5), 534.

Leweke, S., Michel, V., & Fokas, A. S. (2019). Electro-Magnetoencephalography for the spherical multiple-shell model: novel integral operators with singular-value decompositions. Inverse Problems.

Lila, E., & Aston, J. A. (2019). Statistical Analysis of Functions on Surfaces, with an application to Medical Imaging. Journal of the American Statistical Association, (just-accepted), 1-25.

Marge, T., Lumbreras, S., Ramos, A., & Hobbs, B. F. (2019). Integrated offshore wind farm design: Optimizing micro‐siting and cable layout simultaneously. Wind Energy, (0).

Olszowy, W., Aston, J., Rua, C., & Williams, G. B. (2019). Accurate autocorrelation modeling substantially improves fMRI reliability. Nature communications, 10(1), 1220.

Parisotto, S., & Schönlieb, C. B. (2019, June). Total Directional Variation for Video Denoising. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 522-534). Springer, Cham.

Schoenlieb, C., Benning, M., Ehrhardt, M., Owren, B., & Celledoni, E. (2019). Research data supporting "Deep learning as optimal control problems" [Dataset]. https://doi.org/10.17863/CAM.43231

Singh, R., Adhikari, R., & Cates, M. E. (2019). Competing chemical and hydrodynamic interactions in autophoretic colloidal suspensions. The Journal of chemical physics, 151(4), 044901.

Trinh, A., Ber, S., Howitt, A., Valls, P. O., Fries, M. W., Venkitaraman, A. R., & Esposito, A. (2019). Fast single-cell biochemistry: theory, open source microscopy and applications. Methods and applications in fluorescence.

CCIMI Summer 2019 Newsletter