RSVP at https://bit.ly/3RzmdVH Learn what confirmation bias is, how to identify it in your own research, and acquire the skills to mitigate it. Yes, it turns out, we’re all biased and this can negatively impact your research. Join Professor Konrad Kording in this live training session based on the Community for Rigor's new educational unit. […]
In this guest lecture, we will cover two recent research thrusts from the RobotiXX lab in taking RoboRacer off-road: high-speed off-road navigation and wheeled mobility on vertically challenging terrain. For high-speed off-road navigation, we will introduce a sequential line of work with every work inspired by and built upon its prior work, ranging from inverse […]
The inverse design paradigm has emerged as a transformative approach for the synthesis of nanophotonic structures, offering a powerful alternative to conventional intuition-driven design. By approaching photonic device design as a computational optimization problem, inverse design enables the systematic exploration of high-dimensional parameter spaces to uncover non- intuitive structures that meet complex performance targets. This […]
Abstract: Burgeoning energy and water scarcity challenges motivate the development of new membrane materials for charge transport as well as chemical and water separations. This in turn requires an improved understanding of the physics that govern charged and uncharged solute transport in membranes, and particularly the motion of such species in nm-scale confinement in polymeric […]
Jet propulsion is a common locomotion strategy in nature. We developed an underwater particle image velocimetry (PIV) system to investigate the hydrodynamic effects of the SALP (Salp-inspired Approach to Low-energy Propulsion) robot, a soft underwater robot that swims using jet propulsion. Multiple SALP units can be physically connected to form a multi-SALP system, coordinating their […]
Laser powder bed fusion (LPBF) is a bourgeoning additive manufacturing technique for rapid prototyping and creating unconventional designs using metal alloys. In parallel, graphene has garnered significant research interest since its discovery, owing to its remarkable mechanical and transport properties. Driven by the potential advances in additive manufacturing, this project aims to harness the intrinsically […]
This will be a hybrid event with in-person attendance in AGH 306 and virtual attendance on Zoom. ABSTRACT Despite the success of deep learning, there remain challenges to progress. Deep models require vast datasets to train, can fail to generalize under surprisingly small changes in domain, and lack guarantees on performance. Incorporating symmetry constraints into […]
This presentation will discuss the concept of BIGHEART and present various illustrative examples of this approach. The initial focus will be on NOAS (Nanoscale Optical Antennas) within the context of quantitative life sciences and transformative medicine. NOAS facilitates the visualization of quantum biological electron transfer processes occurring in mitochondria within living cells, supports the precise […]
Abstract: Life is dependent on water: most self-assembly and binding processes of biomolecules take place in water. Water-mediated interactions are an essential driving force behind these processes, which is largely affected by the hydrophobicity of the binding surfaces. As many biomolecular binding interfaces are amphiphilic, the hydrophobic interactions are largely affected by polar and charged […]
Communication networks support a wide range of applications in multi-agent systems by solving core problems such as routing, scheduling, and resource allocation. In this thesis, we focus on data-driven routing and scheduling strategies using local information subject to constraints using Graph Neural Networks (GNNs). First, we study information routing in communication networks with constant channel […]
