Vatsal's research centers on scaling and controlling silicon spin-based quantum processors, a burgeoning platform for quantum computing. He aims to develop novel techniques for long-range spin entanglement that overcome key challenges in scaling devices to larger numbers of qubits. Ultimately, he hopes to enable robust architectures and multi-qubit gate operations suitable for utility-scale quantum computing.

Christopher is studying wave-matter interaction in metamaterials and metasurfaces with the goal of enhancing communication, computation, and sensing devices. He is applying Inverse-Design methods to develop metamaterial analog computers and spatiotemporal metasurfaces. These technologies hold promise to revolutionize the way devices process information by allowing them to solve complex problems at near the speed of light while consuming a fraction of the energy of conventional methods.

Keshava currently uses mathematical neuron models to build networks that can learn from event volumes, which are streams of spiking information generated by event cameras from visual stimuli. These networks are then applied to robotics tasks such as pose and depth estimation. He plans to design a physical substrate for ensemble-based neural computation with non-volatile memory devices that could more closely emulate self-organization of the mammalian visual cortex.

Sunggun is interested in building safe and trustworthy AI-enabled autonomous systems. He is exploring the intersection of control theory, robotics, and machine learning to develop approaches that deliver safety and robustness alongside high performance. Ultimately, he aims for autonomy to enhance society while preventing dangerous or uncontrolled behaviors

Zac’s research aims to provide robots with the contextual reasoning abilities needed to achieve complex tasks such as disaster response. Zac is particularly interested in a robot’s ability to understand language and sensory information, in order to interpret and react to its environment for a given task. This research applies to single-and multi-robot planning domains in large scale environments.

Raha hopes to apply her background in integrated electronics and chip design to the emerging field of silicon photonics, which combines optics and circuit design principles to address a myriad of problems that currently plague silicon electronics. Specifically, Raha is interested in using electronic-photonic co-design to enable low-power, high-speed data transfer and communication.