BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Faculty of Science and Technology | University of Macau - ECPv6.14.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Faculty of Science and Technology | University of Macau
X-ORIGINAL-URL:https://www.fst.um.edu.mo
X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Macau
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:CST
DTSTART:20170101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170822T103000
DTEND;TZID=Asia/Macau:20170822T113000
DTSTAMP:20260511T102207
CREATED:20170822T023030Z
LAST-MODIFIED:20220927T043748Z
UID:6152-1503397800-1503401400@www.fst.um.edu.mo
SUMMARY:Physically-based Realistic Hair Dynamics Simulation
DESCRIPTION:Instructors/Speakers\nProf. Bin SHENG\nDepartment of Computer Science and Engineering\nShanghai Jiao Tong University\nShanghai\nChina \nAbstract\nRealistic hair simulation is essential in many fields such as Computer Graphics and Virtual Reality. Currently\, many models have successfully made progress in high-quality hair simulation. However\, the computation cost of these models is very high and is not suite for realtime simulation and rendering. In order to simulate realistic hair in a very short time\, we introduced a data-driven reduced hair model solution. Our approach captured a small set of guide hair and the corresponding interpolation relationship using a list of precomputed full simulation hair movement sequences. In simulation step\, we only simulated the guide hair with a mass-spring model and interpolated the rest hair strands using the interpolation relationship we extracted from the full simulating data. Furthermore\, we used a signed distance field to resolve the hair-body collision and introduced an improved hair-hair correction model based on “Position Based Dynamic” framework. Our model successfully simulate 40K hair strands in real-time with very high quality with complex head movement\, which can also be applied to different hairstyle and hair geometry. \nBiography\nSHENG Bin received his BA degree in English and BE degree in computer science from Huazhong University of Science and Technology in 2004\, and MS degree in software engineering from University of Macau in 2007\, and PhD Degree in computer science from The Chinese University of Hong Kong in 2011. He is currently an associate professor in Department of Computer Science and Engineering at Shanghai Jiao Tong University. He serves on the editorial board of IET Image Processing. His research interests include virtual reality\, computer graphics and image based techniques. \n 
URL:https://www.fst.um.edu.mo/event/physically-based-realistic-hair-dynamics-simulation/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170823T103000
DTEND;TZID=Asia/Macau:20170823T113000
DTSTAMP:20260511T102207
CREATED:20170823T023055Z
LAST-MODIFIED:20220927T043748Z
UID:6156-1503484200-1503487800@www.fst.um.edu.mo
SUMMARY:The Skew diffusion processes and their applications in finance
DESCRIPTION:Instructors/Speakers\nProf. Yongjin WANG\nProfessor\nSchool of Business\nNankai University\nChina \nAbstract\nIn this talk\, we begin with the Ito & McKean[1965]’s construction of Skew B.M. (via the Brownian excursions)\, and introduce a class of the so-called Skew diffusion processes. Specifically\, our considerations are limited on the Skew O-U processes and the Skew Feller-branching processes (the latter are also called Skew CIR processes). For those two processes we first give the explicit expressions on the transition densities\, in term of classical Special Functions. Next we study the hitting times of the processes up (or down) crossing some given levels\, and we obtained the Laplace Transforms expressions of those random stopping times. These results are fundamental for the quantitative analysis of the processes. On the other hand\, some observations from the FX market data show that\, the special structures of Skew O-U processes can capture the important “sticky” phenomena\, which frequently appeared in the market while the FX prices go up (down) to some specific level. Whereas the usual Geometric BM or Geometric O-U processes fails to do. So with the good tractable characters the Skew O-U procesess can be significantly introduced to model some FX and other assets price dynamics\, alternatively we can proceed to the derivative securities pricing with such new models. \nBiography\nProf. Yongjin Wang was awarded his PhD at Nankai University in 1992 and is currently a full professor at Nankai University. He has published more than 50 high quality papers about probability and mathematical finance. \n 
URL:https://www.fst.um.edu.mo/event/the-skew-diffusion-processes-and-their-applications-in-finance/
LOCATION:E11-1012
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20170830T100000
DTEND;TZID=Asia/Macau:20170830T110000
DTSTAMP:20260511T102207
CREATED:20170830T020048Z
LAST-MODIFIED:20220927T043748Z
UID:6160-1504087200-1504090800@www.fst.um.edu.mo
SUMMARY:Granular micromechanics: a paradigm for micromorphic continuum mechanics
DESCRIPTION:Instructors/Speakers\nProf. Anil Misra\nProfessor\nDepartment of Civil\, Environmental and Architectural Engineering\nThe University of Kansas\, Lawrence\, Kansas\, U.S.A. \nAbstract\nGranular materials take a variety of forms\, spanning the spectrum from highly consolidated dense solids formed of particulate precursors to confined packing of non-cohesive particles. In all their forms\, these materials are characterized by complex structures and compositions. More importantly\, they share the common trait that their behavior at the macro-scale\, that contains large numbers of grains (>106)\, is profoundly affected by the grain-scale interactions. For many important problems in engineering and science\, continuum description of their mechanical behavior is desired. Discrete atomic or coarse-grained models often pose insurmountable challenges. Granular micromechanics method is a practical approach for continuum modeling these materials. In this approach\, the material representative volume element (RVE) is modeled as a collection of grains which are interacting with each other through different inter-granular mechanisms. The resultant models offer the versatility of investigating the influence of both the macro-scale parameters and the grain-scale parameters on the overall stress-strain response by incorporating the effect of nearest neighbor grain interactions through the inter-granular force-displacement relationship and orientation vector. We have been developing the granular micromechanics approaches since 1980s. In their earlier formats\, the models based upon granular micromechanics were successful in describing the small strain behavior. In recent years\, these models have undergone further refinement and have been successfully applied to model a number of phenomena exhibited by granular geomaterials. In particular\, the models have been shown to successfully describe the damage and softening in cementitious materials [1]. The approach also leads to a 2nd gradient continuum theory involving strain gradient and its conjugated double stresses useful for modeling shear bands [2]. The method has also been extended to include rate effects [3]\, incorporate thermomechanical consistency [3\,4] and develop efficient numerical scheme [5] that can be implemented into finite element formulation. The model predictions have shown both quantitative and qualitative consistency with the observed behavior for asphalts and cementitious materials [3-5\, 9]. Recently\, the method has been extended to include non-classical terms which lead to micromorphic models [6\,10]. The derived model has been applied to study the wave dispersion relationships and topology optimization [8]. Method for identifying elastic constants for the derived model has been demonstrated for regular and irregular grain assemblies by performing discrete simulations [7]. In the proposed presentation\, we will describe some of the recent developments in granular micromechanics. \nBiography\nAnil Misra received his bachelor’s degree in civil engineering from the Indian Institute of Technology\, Kanpur\, India\, and his M.S. and Ph.D. degrees from the University of Massachusetts at Amherst. He is currently a Professor in the Civil\, Environmental and Architectural Engineering Department of the University of Kansas\, Lawrence. He also serves as Associate Director of the University of Kansas Bioengineering Research Center (KU-BERC). Dr. Misra has a broad research interest that spans topics covering both basic and applied aspects of mechanics of geomaterials\, interfaces and biomaterials\, including analytical\, computational and experimental granular micromechanics\, particle and atomistic methods\, multi-scale modeling\, constitutive behavior\, micro-macro correlations\, and multi-modal material characterization using high resolution techniques. He has co-edited three books; guest edited three journal special issues; and authored more than 200 papers in journals\, edited books and conference proceedings. He has made more than 100 presentations of his research results at national and international fora. His research has been funded by a variety of sources\, including the United States National Science Foundation\, National Institute of Health\, and private industry. He is active in various professional societies and serves as reviewer and editorial board member of a number of journals. (webpage: http://people.ku.edu/~amisra/) \n 
URL:https://www.fst.um.edu.mo/event/granular-micromechanics-a-paradigm-for-micromorphic-continuum-mechanics/
LOCATION:E11-1042
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
END:VCALENDAR