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.

Wearable and implantable bioelectronics; Graphene and 2D materials; Biosensors; Bioelectronics; Neuroelectronics, Biomedical devices; 2D Biohybrids

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