10:00 am to 11:00 am

Special Seminar - 11/21 - Dr. Ayumi Fujisaki Manome

Maritime Security Laboratory, 6th Floor Babbio

“Numerical Modeling of Coastal Ice-covered Waters: Toward better understanding of nearshore processes, coastal forecasts, and hazard prediction”

Dr. Ayumi Fujisaki Manome
Cooperative Institute for Limnology and Ecosystems Research
University of Michigan / NOAA GLERL

ABSTRACT:  Numerical models are powerful tools to understand coastal processes in oceans/lakes and to provide timely forecasts and hazard prediction.  My research has focused on understanding detailed coastal processes of ice-water interactions in continental shelves, lakes, and the marginal ice zones. At the same time, I have enhanced community hydrodynamic models depending on my needs.
In this talk, I will present the development of the parallelized Princeton Ocean Model coupled with an ice model (ICEPOM), from my graduate work until present, and its application to regional studies and process studies. My recent work using the Finite-Volume, primitive equation Community Ocean Model (FVCOM) will be also introduced in conjunction with the next generation Great Lakes coastal forecasting system and a high-resolution atmospheric, wave and circulation model guidance system for the region.

BIO:  Ayumi is currently a Research Fellow at the Cooperative Institute for Limnology and Ecosystem Research at the University of Michigan. Using the high-resolution ice-lake coupled model, her research focuses on ice-lake processes of the Great Lakes in conjunction with climate change. She completed her Ph.D. at the University of Tokyo, with a numerical study of the ice-ocean coupled processes in the Sea of Okhotsk.
During her first postdoctoral fellowship at Princeton University, she started a process study of the ice bands, which is a small-scale (~10^0km) coupled process in the ice edge. Recently, her work has lead to an enhanced (parallelized) ice-ocean model for further intensive studies of ice-water coupling processes. Ayumi’s interests involve understanding these processes, including the dynamics of polynya and ice edge, using both the numerical model as well as theoretical based ideas.

Faculty, Students and Staff

LeAnn Blunt,

Space is limited and available for 45 people.  First come first serve basis. 


All Day

CCSE SEMINAR 12/3 - Dr. Madhavan - Random Field Theory & Network Dynamics Analysis: Predictive Analytics Applications

Babbio 541-A

Center for Complex Systems and Enterprises
Distinguished Lecture Series

Random Field Theory & Network Dynamics Analysis: Predictive Analytics Applications

By PG Madhavan, Ph.D.
Chief Analytics Officer
Syzen Analytics Inc. Seattle, USA


As John Hopcroft states in his new book on Analytics, “Foundations of Data Science” (2013), “One of the major changes is the switch from discrete mathematics to more of an emphasis on probability, statistics and numerical methods”. This talk will highlight a new development in stochastic processes created by Erik Vanmarcke called “Random Field Theory” (RFT) in the 1980s.

The speaker links RFT to predicting practical events such as chatter in machine tools and to “X-Events” as John Casti describes elegantly in his popular science book, “X-Events: The Collapse of Everything”. The speaker will develop the basics of RFT and discuss some second-order properties that may provide intriguing insights into the behavior of dynamical systems as well as possible applications in retail marketing.


Dr. Madhavan analytics expertise developed as University of Michigan EECS Professor, Computational Neuroscience researcher (on “Place Cell” phenomenon which was the subject of 2014 Nobel Prize in Medicine), Bell labs MTS, Microsoft Architect and startup CEO. Leader of several small and large (50 to 100-person) So-Mo-Clo software development teams. (12 issued US patents). Ph.D. in Electrical & Computer Engineering from McMaster University, Canada.


9:00 am to 5:00 pm

13th Annual Conference on Systems Engineering Research

Stevens Institute of Technology

March 17-19, 2015
Hoboken, NJ, United States


The 13th Annual Conference on Systems Engineering Research (CSER 2015) invites authors to submit papers that push the boundaries of systems engineering research and respond to new challenges for systems architecting and engineering. Since its inception, CSER has become the primary conference for disseminating systems engineering research and germinating new research ideas.

Current and prospective doctoral students are also invited to attend the Systems Engineering & Architecting Network for Research (SEANET) workshop on March 17, 2015. Research challenges and strategies for success in graduate research will be discussed.


We invite original research papers addressing any aspect of systems engineering, to include:

  • Theoretical Foundations of Systems Engineering
  • Trade Space Exploration
  • Innovations in Systems Engineering Education
  • Resilience and Flexibility
  • Innovations in Modeling and Simulation
  • Systems Science
  • Trusted Systems
  • Complex Logistical Systems
  • Digital Thread

Papers are especially solicited for the following applications areas of systems engineering:

  • Transportation Systems
  • Healthcare Policy and Delivery
  • Financial Systems and Systemic Risk
  • Urban Systems and Infrastructure Resilience
  • Defense and Aerospace Systems
  • Sustainable Energy Policy and Systems
  • Non-Domain Specific Foundational Topics


All Day

Undergraduate Reading Day

Undergraduate Reading Day