The Ghosh group engages in cross-disciplinary collaborations and welcomes students from diverse academic backgrounds. Most projects focus on addressing challenges in fundamental physics and astrophysics using computational and AI/ML tools, making the group a natural fit for students with strong skills or interests in these areas. We develop methods to automate theoretical physics calculations using reinforcement learning and LLM agents, enabling rapid testing of new theories. We also work on simulation, experimental design and high-dimensional statistical inference techniques powered by AI to accelerate scientific discovery. Data analysis problems at the scale of the Large Hadron Collider or multi-messenger astronomy often demand rapid decision-making, and we design efficient AI algorithms that can be deployed on fast hardware to meet these challenges.

Dragomir Davidovic's research focuses on the exploration of physical properties that emerge in objects when their size approaches nanometer-scale. The objects of study are metallic or insulating particles, molecules, atomic-scale diameter wires, and droplets of one phase surrounded by another phase. Recent advances in lithography enable attachment of these objects to larger scale conducting electrodes, making it possible to explore their physical properties by electronic transport. The properties of nanoscale objects can be fundamentally different from those in bulk. As an example, whereas in bulk metals, the energy spectrum of conduction electrons is continuous, in metallic nanoparticles the spectrum is discrete. As a result, metallic nanoparticles are more like atoms than bulk metals, and nanoparticles are commonly referred to as artificial atoms.

My work is on excitable media, complex systems, and pattern formation, using a combined approach of theory, experiments, and computer simulations.

Interested in: Complex Systems, Experimental physiology, Biophysics, High performance computing and GPU.

I have a broad range of interests in soft condensed matter physics and adjacent fields like statistical physics, physics of living systems and hard condensed matter. My particular focus is on the relationship between the geometric structure of a system and its mechanical response. Both biological and engineered systems often have some structure, such as networks of struts, particles jammed together or patterns of creases in thin sheets, that grant them flexibility and strength with a minimum of weight. These structures can lead to subtle and surprising mechanical response:

The Raman Group has two main thrusts.  The team utilizes sophisticated tools to cool atoms to temperatures less than one millionth of a degree above absolute zero. Using these tools, they explore topics ranging from superfluidity in Bose-Einstein condensates (BECs) to quantum antiferromagnetism in a spinor condensate.  In another effort the team partners with engineers to build cutting edge atomic quantum sensors on-chip that can one day be mass-produced.

Professor Zangwill earned a B.S. in Physics at Carnegie-Mellon University in 1976. His 1981 Ph.D. in Physics at the University of Pennsylvania introduced the time-dependent density functional method. 

He worked at Brookhaven National Laboratory and the Polytechnic Institute of Brooklyn from 1981-1985 before taking up his present position at the Georgia Institute of Technology. 

He was named a Fellow of the American Physical Society in 1997 for theoretical studies of epitaxial crystal growth. 

He is the author of the monograph Physics at Surfaces (1988) and the graduate textbook Modern Electrodynamics (2013). In 2013, he began publishing scholarly work on the history of condensed matter physics.

A primary goal of Professor First's research is to develop an understanding of solid-state systems at atomic length scales. The main experimental tools in this pursuit are scanning tunneling microscopy (STM) and related techniques such as ballistic electron emission microscopy (BEEM). These methods rely on the quantum-mechanical tunnel effect to obtain atomically-resolved maps of the electronic structure of surfaces, clusters, and buried layers.

Itamar Kolvin received his B.Sc. (2007) in Physics and Mathematics and his M.Sc. (2009) from the Hebrew University in Jerusalem. In 2017, he completed his Ph.D. in Physics under Prof. Jay Fineberg in the Hebrew University. He was a HFSP cross-disciplinary postdoctoral fellow in the Physics Department, University of California, Santa Barbara with Pro. Zvonimir Dogic. His research interests are in the fundamentals of soft matter out-of-equilibrium: assembly, deformation, flow and fracture. Current efforts make use of model systems that are assembled of protein machineries to investigate active and adaptive material mechanics. 

Sabetta Matsumoto received her B.A., M.S. and Ph.D. from the University of Pennsylvania. She was a postdoctoral fellow at the Princeton Center for Theoretical Sciences and in the Applied Mathematics group and Harvard University. She is a professor in the School of Physics at the Georgia Institute of Technology. She uses differential geometry, knot theory, and geometric topology to understand the geometry of materials and their mechanical properties. She is passionate about using textiles, 3D printing, and virtual reality to teach geometry and topology to the public.

Dr. Yunker joined Georgia Tech’s School of Physics in 2014 after finishing his biophysics postdoc at Harvard University & New England Biolabs in 2014. Before that, he earned his Ph.D. in Physics from the University of Pennsylvania in 2012 after earning a B.S. in Physics from Texas A&M University in 2005. He has won the Burstein Prize and the Denenstein Award both from UPenn along with the Eric R. Immel Memorial award for Excellence in Teaching at GT. 

Peter’s interests are biophysics, soft matter, and golden retrievers.