Nanophotonic Devices Lab





1. Advanced VLSI Process Node Reliability Challenges
2. VLSI design flow
3. VLSI Design of ML accelerators
4. Computer Architecture
5. Machine Learning


Our lab studies optomechanical interactions in nanophotonic, bulk acoustic, fiber-based, and hybrid systems, examining how geometry and materials choice shape the coupling between light and mechanical motion. We control these interactions from the classical regime to the quantum limit, and explore how to couple them with other quantum systems such as color centers and solid-state spins. By engineering these couplings, we strive to advance quantum communication, precision sensing, and metrology.



Quantum algorithms present promising potential for future technology. Despite the theoretical ability of a quantum computer to accomplish remarkable tasks, such as breaking RSA encryption in an ideal environment, practical limitations, particularly noise, significantly hinder their performance.
Our group specializes in developing tools to comprehend and manage noise in open quantum systems. We use mathematical concepts like symmetry, degeneracy, and topology to discover robust protocols for controlling quantum systems in noisy environments. We explore situations where noise can be used to our advantage, especially near special degeneracies called exceptional points.



What happens when millions of electrons are crammed into a material with the thickness of a single atom? This question turns out to be one of the most complex that humans have ever dared to ask, and for decades theorists and experimentalists have been challenged to answer it. But how do we probe these tiny materials?
In our group, we develop new ways to measure the rich physics of low-dimensional materials like atomically-thin sheets and nanometer-wide nanotubes, and use these insights to develop new devices with novel functionality. We focus particularly on energy: how it flows through materials and what that tells us about emergent states of matter.

We research, design, and build an innovative and ground-breaking electron accelerator based on nanophotonic structures manufactured in a state-of-the-art clean room in the Nanofabrication Center at the University.
The research combines many areas: nanofabrication, electromagnetic simulations, nanophotonics and wave optics, ultrafast and ultrashort lasers, electron microscopes, particle accelerators, and design and production of electron-optical systems: magnetic and electrostatic lenses, and more.
The results of the research are primarily meant for applied science and applied research, with an eye towards applications in the various industries, including in the medical treatment of cancer by electron irradiation.



My group develops theoretical, computational, and AI-driven methods to understand and predict the behavior of nanoscale materials. These systems enable advances in imaging, sensing, quantum information, and energy technologies, yet their coupled electronic, phononic, and photonic degrees of freedom present challenges that exceed conventional approaches. We pioneer stochastic electronic-structure techniques and machine-learning models that capture ground- and excited-state properties in large nanostructures, together with the dynamics that couple carriers, phonons, and photons across relevant time and length scales. Our work reveals how quasiparticles interact, how energy and charge flow at the nanoscale, and how temperature and light-matter coupling shape optical and electronic responses. These tools provide a predictive framework for designing next-generation nanomaterials.

The research interests of my laboratory are centered on the area of soft condensed matter physics for investigation of the structure, dynamics, and macroscopic behavior of complex systems (CS).
CS is a very broad and general class of materials, which include associated liquids, polymers, biomolecules, colloids, porous materials and liquid crystals.
The dynamical processes occurring in Complex Systems involve different length and time scales. Fast as well as ultra-slow molecular rearrangements take place in the presence of the microscopic, mesoscopic and macroscopic organization of the systems.
Commonly, the complete characterization of these relaxation behaviors requires the use of variety techniques in order to span the relevant ranges in frequency. In this view, the use of Dielectric Spectroscopy (DS) is very advantageous.