Materials and nanotechnology

Uses computational modeling to study and engineer materials for optoelectronics and energy applications.

Emerging devices and integrated systems for in-memory computing, neuromorphic computing, machine intelligence, smart sensing, etc.

Neural engineering, inspired by cancer

Materials science and engineering, scanning probe microscopy, nanomaterials, surfaces/interfaces, energy.

Using biomimetic self-assembly, molecular design, and microfluidics to address real-world challenges in materials, medicine, and the environment.

On the verge of nanotechnology and bioelectronics

Studies catalysis and separation in complex materials systems using molecular simulation, quantum chemical, and machine learning methods.

Engineered-materials that improve human health; Materials science and engineering; Green chemistry and renewable polymers; Microbiology

Polymer self-assembly, responsive materials and their use in diverse applications including therapeutic delivery, sensing, and diagnostics

Conduct computational activities at the intersection of various disciplines: from applied mathematics to first-principle physics applied to nanoengineering.

Research aims to gain fundamental understanding of charge transfer and energy transfer in electrochemical and optoelectronic materials and devices.

Immunoengineering; Immunotherapeutics; Novel nanomaterials; Tumor immunology; Tumor microenvironment; Synthetic tumor niches

Biosensing devices and systems based on two-dimensional (2D) materials and translation of 2D materials into applications in point-of-care diagnostics.

Additive manufacturing; mechanical behavior of materials; materials design.

Soft robots; soft and compliant structures; mechanics of soft structures.

Focuses on using single-molecule detection techniques to study the mechanosensing and activation mechanisms in blood clotting, viral infection, tissue repair.