Speaker: Prof. Atilla Incecik (University of Strathclyde）Venue: Offline: 126, Administration Building, Zhoushan CampusOnline: Tencent Meeting 753-637-338Abstract: Growth in waterborne transportation and trade will be driven as the world population increases due to demand for food, water, energy and technological products. With massive growth in computational capacity and data storage capabilities, globally accessible networks and cloud infrastructure, availability of smart devises and smart and cheap sensors, a significant increase of digitalization and automation in all waterborne sectors is taking place. This talk will aim at presenting the expected impacts on waterborne transport of increasing population, economic growth, energy demand and supply, climate change, decarbonisation, digitalization and automation and the research in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde to address these impacts. The presentation will be concluded by emphasizing the importance of training and upskilling of naval architects, ocean and marine engineers as well as seafarers to meet the challenges summarized above.Profile of speaker: Atilla Incecik is Professor of Offshore Engineering at the University of Strathclyde, Glasgow. During the last sixteen years he served as the Head of Department of Naval Architecture, Ocean and Marine Engineering, and Associate Principal and the Executive Dean of the Faculty of Engineering. Professor Incecik’s research activities include the development of hydrodynamic design and analysis tools and model testing of marine and offshore engineering systems, including marine renewable energy devices. Professor Incecik was the Research Manager of Industrial Doctoral Centre for Offshore Renewable Energy (IDCORE) and is a Chair Professor at Zhejiang University. Professor Incecik is Editor-in-Chief of Ocean Engineering Journal. In 2019 Professor Incecik was awarded an Honorary Doctorate by Chalmers University of Technology in recognition of his research on green shipping and environmental sustainability.

Speaker: Professor Hu Xiaozhe (Tufts University, U.S.A.)Venue: Room 205, Building 2, Haina Court, Zijingang CampusAbstract: Numerical simulation of partial differential equation (PDE) models is essential to understand complex applications in science and engineering. When developing discretization methods for solving these PDEs, it is essential to preserve the physical integrity of the problem to obtain high-fidelity approximations to the solutions. In this talk, we focus on the mimetic finite-difference (MFD) method, where discrete operators “mimic” their continuous counterparts, and physical properties and conservation laws are satisfied exactly on the discrete level. Using Maxwell’s equations as an example, we draw connections between the MFD method and finite-element exterior calculus, which provides a straightforward path to proving well-posedness, deriving error estimates, and developing robust linear solvers for MFD discretizations. We will also discuss MFD discretization for convection-dominated diffusion equations, which have a variety of applications in particle transport, electromagnetics, and magnetohydrodynamics. If time permits, we will briefly mention the generalizations of MFD to fractional PDEs and data-driven scientific machine learning. Contact persons: Prof. LIANG Kewei, Prof. CHENG Xiaoliang

Speaker:  Prof. MENG Hangyang (Shanghai University)Venue: 203, Building 2, Haina Court, Zijingang CampusAbstract: In this talk, we will introduce some algebraic topology methods on studying the poset(=partial ordered set) of some cosets of a finite group. Let G be a finite group and X be a subgroup of G. We investigate the topological properties of poset C_X(G) of cosets Hx in G with X ≤ H < G. We show that C_X(G) is non-contracitble if G is solvable or N_G(X) contains a Sylow 2-subgroup and a Sylow 3-subgroup of G. This result follows J. Shareshian and R. Woodroofe’s work in Adv. Math(2016). We also gives some divisi[1]bility properties of the Euler characteristic of C_X(G) when X is a p-group, which follows K. S. Brown’s classical result in J.Algebra(2000).

Speaker： Dr. REN Haojie, Fudan UniversityVenue: Room 204, Building 2, Haina Court, Zijingang CampusAbstract: 

Speaker: Prof. YANG Jian, Rutgers UniversityHost: Prof. YANG Yi, School of Management, Zhejiang UniversityVenue: A523, School of Management, Zijingang CampusAbstract: We are concerned with the stability of a coalitional game, i.e., a transferable-utility cooperative game. For us, the stability of a state should be about the difficulty to leave it once there. Following this guideline, the concept of core can be weakened so that the blocking of changes is limited to only those with multilateral backings. This principle of consensual blocking, as well as the traditional core-defining one of unilateral blocking and one straddling in between, can all be applied to partition-allocation pairs. Each such pair is made up of a partition of the grand coalition and a corresponding allocation vector whose components are efficient and individually rational for the various constituent coalitions of the given partition. Among the resulting stability concepts, two are universal in that any game, no matter how ``poor'' it is, has its fair share of stable solutions. For a game possessing strictly positive values, furthermore, its imputations would have fractional interpretations. These would allow a certain ranking between games, which we deem as in the sense of centripetality, to imply a clearly describable shift in the games' stable solutions. When coalitions' values are built on both random outcomes and a common positively homogeneous reward function characterizing players' enjoyments from their shares, this comparative statics could help explain why aversion to risk often promotes cooperation.Profile of the speaker: Dr. Jian Yang obtained his Ph.D. in Management Science from the University of Texas at Austin.  After working for the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology, he is now a professor at the Department of Management Science and Information Systems, Rutgers Business School, Rutgers University.  Dr. Yang’s research interests are in combinatorial optimization, logistics, production and inventory control, dynamic pricing, and game theory.  At the present he is particularly interested in the role played by risk and ambiguity in dynamic inventory-price control and game-theoretical settings.

Speaker: Prof. JIANG Dihua, University of MinnesotaVenue: Lecture Hall, East Building 7, Zijingang CampusAbstract: I will discuss my recent work joint with Zhilin Luo and Zhaolin Li on the reformulation of the Godement-Jacquet theory in the framework of Tate thesis and applications.

Speaker: Dr. WANG Shengwen (Queen Mary University of London)Time: 16:00-17:00, Aug.17Venue: 101, Building 2, Haina Court, Zijingang CampusAbstract: We consider the varifolds associated to a phase transition problem whose first variation of Allen-Cahn energy is Lp integrable with respect to the energy measure. We can see that the Dirichlet and potential part of the energy are almost equidistributed. After passing to the phase field limit, one can obtain an integer rectifiable varifold with bounded Lp mean curvature. This is joint work with Huy Nguyen.

Speaker: Prof. Zudi Lu（University of Southampton）Venue: Tencent Meeting ID：196-247-817Time: 15:00, Aug.10Abstract: Dynamic discrete valued time series data exist in many economic applications, but its research is still relatively rare compared with the rich research of continuous-valued time series in semiparametric modelling. In this paper, we propose to explore how to utilise the useful high-dimensional dynamic lagged information for forecasting of time series data with discrete-valued response. Our approach will generalise the existing flexible semiparametric marginal regression model averaging (MARMA) forecasting of Li, Linton and Lu (2015), which has been shown a useful data-driven method, but was designed for nonlinear forecasting of continuous valued time series by a least squares averaging. We have hence suggested a generalised MARMA (GMARMA) procedure under a general time series conditional exponential family of distributions, which flexibly accommodates nonlinear forecasting of discrete-valued response, and further allowing the lagged effects including discrete-valued information for forecasting. A conditional likelihood model averaging method, instead of the least squares, is thus developed for the averaging weights estimation in the GMARMA, under beta-mixing time series data generating process with asymptotic normality established. Furthermore, an adaptively penalised GMARMA (PGMARMA) is suggested to select the important variables for an improved forecasting. The oracle properties of the PGMARMA weights are established as if the true non-zero weights were known. These procedures are further supported by Monte Carlo simulations and empirical applications to forecasting of the FTSE 100 index market moving direction and the UK road casualty data, which are shown to outperform many popular machine learning tools, including the random forest method, etc.Contact person: Prof.ZHANG Rongmao（rmzhang@zju.edu.cn）

Speaker: Prof. Xinwen Zhu (Stanford University)Time: 16:15-17:15, July 27Venue: lecture hall, Building 7, Zijingang CampusAbstract: A theorem of Borel says that any holomorphic map from a smooth complex algebraic variety to a smooth arithmetic variety is automatically an algebraic map. The key ingredient is to show that any holomorphic map from the punctured disc to the arithmetic variety has no essential singularity. I will discuss some work towards a p-adic analogue of this theorem for moduli of abelian varieties. Joint with Abhishek Oswal and Ananth Shankar.