Foundations of quantum theory is concerned with identifying and formalizing the counter-intuitive features of quantum theory (such as non-locality and contextuality), and, more generally, in unravelling its implications for our conception of physical reality.
Foundations of inference is concerned with the systematic development of mathematical tools that formalize the process of making reasonable inferences from limited information, and with developing an understanding of the conceptual foundations, interrelations, and domains of validity of existing tools (such as Bayesian inference and the Principle of Maximum Entropy).
Theoretical particle physics develops models and mathematical tools to
understand properties of elementary particles and to make predictions
for future experiments. The work of UAlbany group focuses on studying
duality between quantum gravity and strong interactions with a
particular emphasis on applications to physics of black holes.
High Energy Physics Professors Alam, Ernst and Jain
The high energy research group is a federally funded and active member of the ATLAS collaboration at CERN's Large Hadron Collider. Current work involves Higgs searches, Trigger software and Algorithms, and Muon reconstruction software.
The Earle group uses high field Electron Paramagnetic Resonance (EPR) to study the structure and dynamics of natural and artificial spin probes in systems of biophysical and chemicophysical interest. High field EPR can provide enhanced resolution of structural features analogously to high field Nuclear Magnetic Resonance (NMR). The Earle group has an active and ongoing collaboration with the ACERT National Research Resources Center at Cornell University.
X-ray Analysis, Optics, and Imaging Professor MacDonald
The Center for X-Ray Optics was founded by Professor Emeritus Walter Gibson in 1990 to investigate the science and technology of the newly invented Kumakhov poycapillary optics.
Material Physics Professors Kuan and Lanford
The major theme of Prof. Kuan's research program is to study the microstructure of a wide variety of materials, including metals, semiconductors, superconductors, ceramics, and polymers. Prof. Lanford's research harnesses the 4MV ion beam accelerator located on the Albany campus, which offers unique capabilities for materials physics. Current research topics include: 1. clean surfaces, interfaces, and surface-sensitive properties of materials; 2. defects in solids; 3. hydrogen in solids.
Astroparticle Physics Professor Szydagis
The Szydagis group is an active member of the LUX and LZ collaborations at Lead, South Dakota's Sanford Underground Research Facility (SURF). This work involves searching for the Weakly Interacting Massive Particle (WIMP), a dark matter particle candidate, using liquid xenon. Our research focuses primarily on event reconstruction algorithms and Monte Carlo simulation software for the xenon microphysics and detector response.
Bayesian data analysis focuses on applying Bayesian probability theory
as well as maximum entropy techniques to develop high-quality data
analysis algorithms. We offer a senior/graduate level course on
Bayesian Data Analysis every other year.
Cyberphysics is the physics of information-based control in systems
that display a strong coupling between computing and control elements.
Such systems are called cyber-physical systems. Here we investigate
the fundamental physics governing the processes of information-driven
Computational optical modeling and imaging Professor Petruccelli
Computational optical modeling uses computational techniques to model the distribution of an optical field after spatial propagation or time evolution. Computational imaging makes use of digital sensors and computers along with optical system design to computationally recover properties of the optical field. Our work in computational modeling focuses on techniques to efficiently and exactly model wave propagation by using ray- or particle-like models, making possible computations that were traditionally computationally prohibitive. Our work in computational imaging mainly focuses on techniques to recover properties of optical waves that are undetectable with traditional imaging, such as the thickness of nearly transparent objects or the spatial distribution of refractive index (a measure of the speed of light and attenuation in a material) in a volume. Our computational imaging work also includes collaborations with the Center for X-Ray Optics.