ESE Spring Seminar – “Wavelength-Encoded Nanolaser Particles for Highly Multiplexed Single-Cell Analysis”
Understanding single-cell heterogeneity in biological systems is considered the holy grail of biomedicine. However, conventional single-cell analysis methods are constrained by the destructive readout process of DNA barcodes and the […]
ESE Guest Seminar – “On Team Decision Problems with Nonclassical Information Structures”
Team theory is a mathematical formalism for decentralized stochastic control problems in which a “team,” consisting of a number of members, cooperates to achieve a common objective. It was developed […]
ESE Spring Seminar – “Versatile RF Interconnects and Electronics for Extreme Environment Sensing and Communications”
Future emerging applications like extreme environment electronics, high-performance computing, space sensing, and brain-machine interfaces share a critical goal: massive bandwidth and deployment scalability. To this end, my research group is […]
ESE Spring Seminar – “Generalization, Memorization, and Privacy in Trustworthy Machine Learning”
Machine learning is transforming numerous aspects of modern society, and its expanding use in high-stakes applications calls for responsible development. In this talk, I will present my research on the […]
ESE Spring Seminar – “Quantum Simulation of Electronic Materials with a Superconducting Qubit Array”
Arrays of coupled superconducting qubits are a compelling platform for analog quantum simulations of solid-state matter and many-body physics. These devices natively emulate the Bose-Hubbard model while offering a high […]
ESE Spring Seminar – “Towards quantum interconnects: entangling microwave and optical photonic qubits”
Modern computing and communication technologies, such as supercomputers and the internet, are based on optically-linked networks of information processors operating at microwave frequencies. An analogous architecture has been proposed for […]
IDEAS/STAT Optimization Seminar: “Negative Stepsizes Make Gradient-Descent-Ascent Converge”
Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Solving min-max problems is a central question in optimization, games, learning, and controls. Arguably the most natural algorithm is Gradient-Descent-Ascent (GDA), however since the 1970s, conventional wisdom […]
IDEAS/STAT Optimization Seminar: Resilient Distributed Optimization for Cyberphysical Systems
Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: This talk considers the problem of resilient distributed multi-agent optimization for cyberphysical systems in the presence of malicious or non-cooperative agents. It is assumed that […]
IDEAS/STAT Optimization Seminar: “Gradient Equilibrium in Online Learning”
We present a new perspective on online learning that we refer to as gradient equilibrium: a sequence of iterates achieves gradient equilibrium if the average of gradients of losses along […]
IDEAS/STAT Optimization Seminar: “Stochastic-Gradient-based Algorithms for Solving Nonconvex Constrained Optimization Problems”
Zoom link: https://upenn.zoom.us/j/98220304722 Abstract I will present recent work by my research group on the design and analysis of stochastic-gradient-based algorithms for solving nonconvex constrained optimization problems, which may […]