Faculty / Staff
Human-Machine Collaboration in End-User Parallel Programming (EUPP) for High-Performance Computing (Exascale computing, Petascale computing, Terascale computing) on massively parallel, distributed, hybrid, heterogeneous inter-networked multi-core, many-core computer architectures.
Applications of massively parallel computing to Computational STEM
Neuronal CDMA, Neural Spread-Spectrum
Neuro-Architecture Model: implementing (natural, artificial) minds and (biologically inspired) cognitive architectures on (natural, artificial and biologically plausible) brains/CNS
Computation Architecture models of CNS / Brain / Mind / Neuro-Glia interactions
EDC/FT Hyper-informatics. Inter-operability of Systems of systems engineering, automation and autonomics of cyber-infrastructures, emergency, disaster, crisis informatics (for response, recovery, situation awareness, surveillance, preparedness, mitigation, management, coordination, collaboration
My current research focuses on probabilistic methods in formal languages and automata theory, random generation of finite deterministic and minimal automata, weighted automata and their recognition power. I am also interest is in statistics and its applications in mathematics education.
I am the coordinator of Precaculus and teach a variety of courses, among which are Precalculus, Calculus I,II,III, Discrete Mathematics, Elementary and Intermediate Statistics, Probability, and Automata Theory. I am very interested in mentoring students, both as a research adviser and as a career consultant.
Weighted automata are powerful finite-state machines in which the transitions have weights associated to them. Dr. Carta studies weighted automata and their connection to formal languages.
Recurrence equations define sequences using recursion. Dr Carta's current research deals with recursively defined sequences of elements from a semiring, and their connection to weighted automata.
Pushdown automata (PDAs) are computational models, particularly useful in compiler design and linguistics. Dr. Carta studies PDAs, viewed as weighted automata, and context-free languages, viewed as algebraic objects.
Research Assistant- Mathematics Professional Development
My research interests are in wireless and mobile networking in general. More recently, I have been working on protocols for mobility and content based networks. For more details about what I have been upto prior to joining York, please visit http://www.winlab.rutgers.edu/~sjain. If you are interested in experimentation using GENI testbed, visit my blog at http://geni.commons.gc.cuny.edu/. My most recent work with undergraduate research is available at http://sond.commons.gc.cuny.edu/
Ordinary differential equations, fluid mechanics, parallel programming, programming languages, numerical analysis, integral equations, wavelets, radial basis functions.
Content-based image retrieval (or CBIR) is to search for similar looking digital images
by contents such as shape, color, pattern, and other features. He is interested in various
topics in this area, including usability, visualization, and matching algorithms.
He is also interested in designing and developing network protocols for different computer
networks like wired networks and sensor networks to enhance their performance.
He likes doing research in graph theory and ubiquitous computing as well.
Adelson, Mark, Adjunct
Ara, Nicholas, Adjunct Lecturer
Artanmoshin, Sergei, Adjunct
Baslaw, Richard, Adjunct
Carella, Nelson, Adjunct
Haynes, Lyndon, Adjunct
Hendricks, Paul, Adjunct
Ivinolakan, Olawule, Adjunct
Minnal, Raghupathy, Adjunct
Riesenberg, Nathaniel, Adjunct
Roy, Sneh, Adjunct
Seaton, Marlon, Adjunct
Thrall, Lou, Adjunct
Turner, Curtis, Adjunct