For more information please contact:

David Peacock
Director - Intellectual Property Management
EAS Building
Room 210
Phone: 201.216.5242
Fax: 201.216.8185

dpeacock@stevens.edu

Stevens Institute of Technology is happy to announce the launching of their new Inventiveness, Creativity and Entrepreneurship (ICE) Blog! As a part of the Research Enterprise website, ICE blog will highlight innovative research and educational opportunities within the University.

The goal of ICE blog is to provide an in-depth look at some of the unique research being done by our faculty, complete with media, professor and student insights. Many of the research projects that our faculty study are on the leading edge of technology innovation; our students are surrounded by incredible learning opportunities and gain critical experience for a successful career.

The first submission in the ICE blog will focus on Tissue Engineering. Led by Professors Xiaojun Yu and Hongjun Wang, the application of nanotechnology to improve upon biomedical implants (scaffolds) that function as a bridge upon which new cells can grow in the case of trauma, skin grafting, bone and nerve regeneration, will dramatically reduce patient recovery times. With global reach that includes the potential to reduce health care costs while improving care, Tissue Engineering is a hot topic, and Stevens researchers are on the forefront of development.

We will be featuring a new research topic periodically, so be sure to visit us, and check back soon for the next installment of ICE blog!

For more information please contact:

Doug Fabrizio
Web Content Manager
Edwin A. Stevens Hall
Room 413
Phone: 201.216.8910
Fax: 201.216.8909

dfabrizi@stevens.edu

Stevens Institute of Technology will be co-hosting a joint conference to explore intersection of physics and data modeling with New Mexico State University.

The Joint Conference on High Frequency Data Modeling, July 10-12, 2009 on the Stevens campus in Hoboken, NJ, is an example of interdisciplinary research within our Financial Engineering and Mathematics programs, who reached out to thought leaders in complementary areas to encourage synergy between the fields of Econophysics and High Frequency Data Modeling.  Emphasis will be placed on models for high frequency data and applications of statistics and statistical mechanics to tackle modeling problems within a complex system and systems of systems framework. Mathematicians, physicists, economists, industry representatives, and graduate students will meet to collaborate, with the goal of advancing the quality of research currently under development in the field of high frequency data modeling, and to open doors for future collaboration and networking. The Conference is being funded in part by the National Science Foundation (NSF), the International Mathematical Union, American Statistical Association,  Stevens Institute of Technology, and New Mexico State University.

Conference speakers from industry, government and academia, including representatives from Columbia University, JP Morgan, New York State Banking Department, New York University, and City University of London, UK, will present and lead discussions related to the complex challenges of High Frequency Data Modeling. The conference will focus on three interrelated topics:

• Stochastic modeling and statistical analysis of high-frequency data
• Models in econophysics and application to the analysis of high-frequency data
• Systems and complex adaptive systems in finance

To register and learn more, please visit the conference website at www.stevens.edu/FEconference2009.

For more information please contact:

Khaldoun Khashanah, PhD
Program Director, Financial Engineering, and Distinguished Service Professor
Babbio Center
Phone: 201 216 5446
Fax: 201.216.5541

kkhashan@stevens.edu

Stochastic Systems Seminar

Forest simulation models have been proven remarkably effective at capturing the dynamics of real forests. In mathematical terms, individual-based simulators are spatial stochastic processes that predict properties of populations and communities by simulating the fate of every plant throughout its life cycle. Unfortunately, non-linear spatial stochastic processes are notoriously intractable, which limits the usefulness of forest simulators to basic scientists, and, also, they require too much computer power to be used at large scale, such as in global models; one cannot simulate every tree on the Earth. To solve the twin problems of computational intensiveness and mathematical intractability, what is needed is a way to predict a forest's community dynamics using only individual-level information, but without simulating every plant. This requires so-called macroscopic equations for variables of interest to ecologists, such as the mean density and size structure of each species and how these change though time.

In physical systems, macroscopic equations for the dynamics of fluids can be derived from stochastic models of the random collisions and transformations of individual molecules. Using similar approach we have developed a new spatial individual-based forest model that is based on a new approximation for the plasticity of crown shape. Its structure allows us to derive an accurate approximation to the individual-based model for the means of the stochastic process in a forest simulator that predicts the mean densities and size structures in the simulator using the same parameter values and functional forms, and, also, is analytically tractable. The approximation is represented by a system of Von Foerster partial differential equations coupled with an integral equation that we call the Perfect Plasticity Approximation (PPA). We have derived a series of analytical results including equilibrium abundances for trees of different crown shapes, stability conditions, transient behaviors, and coexistence conditions.

For more information please contact:

Nicolai Strigul
Research Assistant Professor
Kidde
Room 221
Phone: 201.216.8763
Fax: 201.216.8321

nstrigul@stevens.edu

Stochastic Systems Seminar

This talk addresses the issue of cooperation versus selfishness in wireless networks, and discusses possible performance gains, and implementation tradeoffs. The talk merges three different topics under the same umbrella: pricing for enforcing cooperation in slotted Aloha; adaptive channel allocation spectrum etiquette for cognitive radios; and interference aware routing for near-far effect mitigation. The common element is we show that in all three cases, cooperation can significantly increase the overall network performance. 

For more information please contact:

Dr. Cristina Comaniciu
Associate Professor & EE Graduate Program Director
Burchard Building
Room 207
Phone: 201.216.5606
Fax: 201.216.8246

ccomanic@stevens.edu