Recent advances in experimental measurements and numerical simulations has allowed us to discover new phenomena in multiphase turbulence (a flow regime characterized by chaotic and irregular motion in the presence of immersed surfaces/bodies). In this talk, I will discuss some of these new discoveries and their importance both from a fundamental and an application viewpoint. […]
Abstract In this talk I will present my current and future work towards enabling safe real-world autonomy. My core focus is to enable efficient and safe decision-making in complex autonomous systems, while reasoning about uncertainty in real-world environments, including those involving human interactions. First I will discuss safety for complex systems in simple environments. Traditional […]
Abstract Today’s computer systems and their owners fail to protect data. Exacerbating this are new threats stemming from the rise of cloud computing. The consequences are dire: sensitive information like financial statements, medical records, and private messages are disclosed to malicious parties. In my research at the intersection of security, cryptography, and systems, I work […]
Abstract Millimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications, including virtual reality and autonomous cars. Moreover, large spectral availability and mm-scale wavelength provide the possibility for ubiquitous and high-resolution sensing. My research builds a foundation for joint communication and sensing in […]
Synthetic biology has transformed how cells can be reprogrammed, providing a means to reliably and predictably control cell behavior with the assembly of genetic parts into more complex gene circuits. Using approaches and tools in synthetic biology, we are programming stem cells with novel genetic tools to control genes and pathways that result in changes […]
Abstract: A wide range of application domains are emerging as computing platforms of all types become more ubiquitous in society. Many of these applications are data centric, and spend a significant fraction of their time on accessing and processing very large datasets. Examples of these applications include graph frameworks, precision medicine, computer vision, deep learning, […]
Abstract By enabling optical microsystems with new functionalities, improved system performance, and reduced size, weight, and power, integrated photonics is positioned to enable next-generation optical technologies that facilitate revolutionary advances for numerous fields spanning science and engineering, including computing, sensing, communications, displays, quantum, and biology. An emerging class of integrated photonic systems is integrated optical […]
The computational modeling of complex multi-physics problems often requires specialized approaches in the formulation, implementation, and deployment of algorithms that lie outside the scope of conventional practice in physics-based modeling and simulation. In this talk I will present three examples of problems in which the synergistic combination of advanced algorithms, and state-of-the-art software implementations on […]
The study of wind farms within realistic atmospheric boundary layer conditions is critical to understand the governing physics of the system and to design optimal operational protocols. Historically, control protocols have optimized performance of individual wind turbines resulting in aerodynamic wakes which typically reduce total wind farm power production 10-20% and increase the cost of […]
Abstract: Abstract: Much of our success in artificial intelligence stems from the adoption of a simple paradigm: specify an objective or goal, and then use optimization algorithms to identify a behavior (or predictor) that optimally achieves this goal. This has been true since the early days of AI (e.g., search algorithms such as A* that […]
Abstract: Deep learning (DL) is a powerful approach to modeling complex and large scale data. However, DL models lack interpretable quantities and calibrated uncertainty. In contrast, probabilistic graphical modeling (PGM) provides a framework for formulating an interpretable generative process of data and a way to express uncertainty about what we do not know. How can […]
Abstract: Reconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to directly implement computation. Under this paradigm, voltages and currents within the device implement continuously evolving variables in the computation. In this talk, I discuss compilation […]
Unfortunately, due to protocols surrounding the coronavirus (COVID-19), this event has been cancelled. We hope to see it rescheduled for the fall. Please contact Rashmi Kumar (rashmik@upenn.edu) with any questions.
Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]
Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]
Tackling the energy sector’s pressing technological and workforce needs requires a multi-pronged approach. This talk will include a discussion of both technical research and educational approaches to address these needs. The educational initiatives include implementation of the Energy Fellows Program, a training and professional development program, as well as research on the varying perceptions of […]
Abstract: Chemical products are usually designed and developed through heuristic rule-based and/or trial-and-error experiment-based approaches. Although this kind of approaches often lead to safe and reliable product designs, since it is not practically feasible to consider all alternatives, it may not be possible to find the optimal product. As an alternative approach, the use of […]
