We are a science-to-systems lab conducting research in manipulating matter at nanoscale dimensions for novel applications in a multitude of thermal, solar, and electrochemical energy devices and systems. We combine theoretical, computational, and experimental techniques to understand energy conversion, storage, and transport. Through our research we strive to engineer phonon and photon transport for efficient
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Thermodynamic and kinetic models of magmatic processes including adiabatic mantle melting and melt transport; the role of water in petrologic and geodynamic behavior of the mantle; melting and differentiation in the deep mantle and the early earth; experimental investigation of silicate and metallic liquids and minerals under static and dynamic high pressure; petrologic and geodynamic
Read MoreMy general research area is machine learning of natural language. My recent projects have focused primarily on developing unsupervised and semi-supervised machine learning techniques for natural language processing, with the goal of reducing the amount of annotated data needed to build NLP applications and process resource-scarce languages. Areas in which my group has been working
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Dr. Bukkapatnam’s research addresses the harnessing of high-resolution nonlinear dynamic information, particularly from wireless MEMS sensors, to improve the monitoring and prognostics of real-world systems, including ultraprecision and nanomanufacturing processes and machines, and cardiorespiratory processes. His research has led to 125 peer-reviewed publications (73 published/ accepted in journals and 52 in conference proceedings) and five
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I welcome you to the multi-phase flow & heat transfer laboratory in the Department of Mechanical Engineering at Texas A&M University. This website gives an overview of the ongoing research activities at the multi-phase flows and heat transfer laboratory. Research projects are highly interdisciplinary and intellectually rewarding. Projects range from micro-fluidics, boiling heat transfer, nanotechnology
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Research Interests: Program slicing, differencing, and merging Interprocedural dataflow analysis Alias analysis, pointer analysis, and shape analysis Analysis of multi-threaded programs Symbolic abstraction and decision procedures Other program-analysis problems Path problems Model checking Computer security Code instrumentation Computational differentiation and computational divided differencing Program-development environments Incremental computing Attribute grammars Miscellaneous
Read MoreResearch theme: Study the interface of cosmology and high energy theory. Emphasis is on observable physics and physics beyond the standard model. Current topics of interest: Baryogenesis, electroweak phase transition, inflationary cosmology, superheavy dark matter, quantum field theory in curved spacetime, WIMP dark matter, alternate gravity, supersymmetry, gravity waves, dark energy, cosmic rays,braneworld/string-inspired cosmology
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Research Interests Theoretical and Computational Astrophysics: Acceleration of Cosmic Rays in Multiple Contexts, Magnetohydrodynamics, Supernova Remnant Dynamics Radio Galaxy Dynamics Galaxy Clusters
Read MoreWe are a computational modeling group. We identify and work on critical modeling challenges relevant to real-world problems from a variety of perspectives. This includes innovations in physics-based modeling, data-driven paradigms, mathematical formalisms, algorithms, numerical methods, computer science, etc. Our applications are centered around fluid flows, but we are continually expanding our domains (such as
Read MoreMy research interests cover the broad sweep of classical and quantum dynamical systems, from field theories to particles, and from the largest scales to the smallest. Specifically — moving from larger to smaller scales — I have worked on problems in cosmology, astrophysics, accelerator physics, condensed matter physics, atomic and quantum optics, and particle physics.
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