Collaborative/Interdisciplinary Projects

PI/Department Collaborator : CS student/postdoc Synopsis of Project
Dr. Moshe Adrian/Mathematics Dr. Geo Kam-Fai Tam / McMaster University Computing Gauss sums over finite fields. Formulate a conjecture on the distribution of Gauss sums over finite fields.
Dr. Jose Anadon/Biology Dr. Andrés Giménez/
Universitat Miguel Hernández
Dr. Eva Gracia
Dr. Pedro Abellan Rodenas
Roberto Rodriguez
Impact of habitat loss and fragmentation on viability and genetic structure of animal populations. An individual-based model is used to simulate the functioning of animal populations on both real and simulated landscapes to assess how habitat fragmentation impacts the genetic structure of populations and their probability of extinction. Funded by the Spanish Ministry of Science and Technology.
Dr. Jeff Beeler/Psychology Dr. Nathaniel Daw/NYU Modeling mouse adaptive behavior using temporal difference algorithms. Fitting data from semi-naturalistic foraging studies with mice to temporal difference models to understand how reinforcement learning mechanisms mediate allocation of energy and decision-making that underlie adaptive behavioral strategies to different environmental conditions.
Dr. Jeff Beeler/Psychology Dr. Jakob Kisbye Dreyer/
University of Copenhagen
Using a simulation model of dopamine cell activity that is based on physiological parameters, this project is taking an information theory perspective to investigate how dopamine encodes information and how that information is decoded by different receptor populations.
Dr. Jeff Beeler/Psychology Danielle Aloicius 
Alex White 
Development of an immersion virtual reality system for mouse behavioral studies. Primary development objective includes the development of a domain specific language for scripting and operating the mouse virtual reality.
Dr. Jin Fan/Psychology   Processing and modeling of fMRI data.
Dr. Jin Fan/Psychology
Dr. Changhe Yuan/Computer Science
Dr. Tingting Wu
Dr. Xiaoyuan Zhu 
Cong Chen 
Developing advanced Bayesian learning algorithms for in-depth understanding of the mechanisms underlying the functional connectivity of the human brain, which is one of the best ways to elucidate the neural pathways that underlie brain function and behavior. The current study would have a major breakthrough in brain imaging study theoretically and methodologically and would have important implications for clinical diagnosis and treatment.
Dr. Christopher Hanusa/Mathematics Miriam Striks  Study of discrete mathematical objects such as permutations, symmetry group elements, lattice point configurations, and core partitions. Computer generation of the set of objects under question gives exact data about the structure of these objects. Data analysis informs conjectures and proof techniques leading to new theorems.
Dr. Christopher Hanusa/Mathematics Tamar Ehrenreich 
Nick Catalano
Research in Combinatorics - Efficient search for mathematical sequences related to combinatorial questions.
Dr. William Hersh/Chemistry Eric Chan Computer modeling of complex organic compounds, energy minimization of solution structures, and modeling of NMR spectra, particularly phosphorus NMR, as a means of identifying novel compounds that cannot be isolated and subject to standard analytical methods such as X-ray crystallography.
Dr. Seogjoo Jang/Chemistry Dr. Daniel Montemayor
Dr. Eva Rivera
Hiroko Ajiki
Murali Devi
Simulation of exciton transfer in natural and synthetic light harvesting systems in order to examine and effectively manipulate important factors involved in determining the rate and efficiency of energy transfer.
Dr. Seogjoo Jang/Chemistry Eric Steimetz 
Ester Aziz
Computer modeling of the molecular structure and thermodynamics/quantum mechanics of biological receptors, mainly the ones involved in photosynthesis and/or the smell receptors in the olfactory bulb.
Dr. Adam Kapelner/Mathematics Rebecca Katz  An Experiment to Detect Gender Bias in Book Sales and Preferences.
Dr. David Lahti/Biology Nikki Hanson 
Ja-Ying Teresa Wu 
Stacy Wang 
Online bibliography of environmental thought.
Dr. David Lahti/Biology
Dr. Jose Anadon/Biology
Eric Roginek Large-scale spatially explicit analysis of learned bird song. Songbird vocalizations are socially learned and thus can diverge across time and space like any other cultural trait. The object of this study is to quantify the variation in an extensive dataset of complex songs of the house finch (Haemorhous mexicanus), with a particular eye to understanding how these songs vary across space.
Dr. Andrea Li/Psychology Gideon Glass 
Yuqian Zhang 
Spatial vision under simulated visual impairment - Examination of how basic human visual perception is affected by simulated forms of visual impairment (e.g. blurring resulting from uncorrected refractive error, contrast reduction resulting from cataracts). Experiments are implemented to systematically present simple spatial patterns onscreen about which human subjects make perceptual judgments.
Dr. Larry Liebovitch/Physics Aisha Javid Further development of a computational model (coupled non-linear ordinary differential equations) of how therapists and clients interact in psychotherapy, in particular, to understand how "ruptures" in the therapeutic relationship can be "repaired" by the therapist.
Dr. Larry Liebovitch/Physics David Futran 
Devin Lee 
Simulation of interacting small world networks.
Dr. Larry Liebovitch/Physics Ammad Khan 
Javier Mucia 
Data science analysis of factors in different cultures leading to sustainable peace as determined by machine learning analysis of published & on-line data sources.
Dr. Larry Liebovitch/Physics Mohamad Salimi Analysis of text and database inofrmation.
Dr. Lev Murokh/Physics Davneet Kaur Computational solutions to equations that provide new insight on factors affecting the optical properties of quantum dot, which is one of the most important building blocks of novel electronic and photonic devices.
Dr. Lev Murokh/Physics Dr. Vasiliy Znamenskiy Molecular dynamics simulation.
Dr. Yoko Nomura/Psychology Serena Schauer  A longitudinal study of female participants through their pregnancy including creation of the front-end and back-end of a database.
Dr. Alexey Ovchinnikov/Mathematics Richard Gustavson In this project, we give upper and lower bounds on the number of differentiations one has to apply to a system of polynomial PDEs to verify whether it is consistent. This would immediately lead to a complexity estimate. For the lower bound, we are constructing a series of examples, and testing them on a high-performance computer.
Dr. Alexey Ovchinnikov/Mathematics Peter Thompson Investigates upper bounds on degrees to algorithmically verify whether a system of polynomial differential equations is integrable.
Dr. Alexey Ovchinnikov/Mathematics Esha Sawant Parameter identification in models.
Dr. Alexey Ovchinnikov/Mathematics Gleb Pogudin/NYU & CUNY Theory and algorithms for symbolic and symbolic-numeric techniques for systems of polynomial differential and difference equations and applications to the sciences, including parameter identification problems in biology and chemistry.
Dr. Alex Ryba/Computer Science Richard Parker Matrices over finite fields.
Dr. John Terilla/Mathematics Neural networks.
Dr. Luat Vuong/Physics Joseph Hui  We investigate energy transfer and heat flow in nanofluids, or nanoparticles in liquids, via particle tracking and improved models of the optical propagation.
Dr. Luat Vuong/Physics Benjamin Kusin  We study the mechanical forces and voltages that arise via the presence of chiral hybrid surface plasmons on nanoparticles.
Dr. Luat Vuong/Physics Andy Rivas  Data-scraping the ISI citation networks.
Dr. Chuixiang Yi/SEES Xiyan Xu 3D numerical simulations of wind vector, temperature, CO2 around a eddy-flux tower in complex terrain.
Dr. Chuixiang Yi/SEES Kat Jensen
Suhua Wei
Climate change and terrestrial ecosystem performance.
Dr. Chuixiang Yi/SEES Christine Ramadhin Nonlinear dynamics of paleoclimate transition.
Dr. Chuixiang Yi/SEES David Kim 
Derek Mu
Mike Taubman 
A database for research in climate-ecosystem interactions.
Dr. Chuixiang Yi/SEES Dr. Shoichi Furuyama/
Toyama National College of Technology
Computational fluid dynamics.