Penn Engineering Events

CIS Seminar:" Physical Scene Understanding"
2019-02-15 11:00 - 12:00 (America/New_York) | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Abstract:
Human intelligence is beyond pattern recognition. From a single image, we’re able to explain what we see, reconstruct them in 3D, predict what’s going to happen, and plan our actions. In this talk, I will present our recent work on physical scene understanding—reverse-engineering these capacities to make machines that are versatile, data-efficient, and have better generalization ability. The core idea is to exploit the scene’s compositional structure by integrating deep recognition networks with generative, approximate simulation engines. I’ll focus on a few topics: building an object representation for both its geometry and physics; learning compact, interpretable dynamics models for planning and control; perception and reasoning beyond vision.

ESE seminar: "Engineering the Quantum Vacuum"
2019-02-15 09:30 - 10:30 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
The vacuum of space may seem empty and boring; however, this void is actually teeming with activity. According to the laws of quantum mechanics, fluctuations of electromagnetic fields are omnipresent even in empty space. These fluctuations can manifest themselves in a variety of ways, including the generation of nanoscale forces between objects—a phenomenon known as the Casimir effect. In this talk, I will discuss our development of novel measurement techniques to probe these interactions and how we can engineer and control such quantum effects for useful devices. I will demonstrate our ability to tailor the sign and magnitude of the force, as well as how we can induce rotations (i.e. a Casimir torque) between optically birefringent materials. Beyond interesting science, our ability to control these interactions will give us new opportunities for nanoscale devices and to modify chemistry and electronics in ways not previously possible. Finally, I will briefly outline a few additional research areas from our lab related to novel optical phenomena, materials, and devices.

CIS Seminar: "Deep Learning Models for Language: What they learn, where they fail, and how to make them more robust"
2019-02-14 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Abstract:
Deep learning has become pervasive in everyday life, powering language applications like Apple’s Siri, Amazon’s Alexa, and Google Translate. The inherent limitation of these deep learning systems, however, is that they often function as a “black box,” preventing researchers and users from discerning the roles of different components and what they learn during the training process. In this talk, I will describe my research on interpreting deep learning models for language along three lines. First, I will present a methodological framework for investigating how these models capture various language properties. The experimental evaluation will reveal a learned hierarchy of internal representations in deep models for machine translation and speech recognition. Second, I will demonstrate that despite their success, deep models of language fail to deal even with simple kinds of noise, of the type that humans are naturally robust to. I will then propose simple methods for improving their robustness to noise. Finally, I will turn to an intriguing problem in language understanding, where dataset biases enable trivial solutions to complex language tasks. I will show how to design models that are more robust to such biases, and learn less biased latent representations.

MSE Faculty Candidate Seminar: "Engineering Hierarchical Polymers to Control Biomolecular Transport"
2019-02-14 10:45 - 11:45 | Auditorium, LRSM Building, 3231 Walnut Street, Philadelphia, PA, 19104, United States

CBE Seminar: "Pixelated Polymers: Programming Function into Liquid Crystalline Polymer Networks and Elastomers"
2019-02-13 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States

CIS Seminar: "Visualization for People + Systems"
2019-02-12 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Abstract:

While computers can help us manage data, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines. In response to these challenges, my research combines methods from visualization, data management, human-computer interaction, and programming languages to enable effective methods for data analysis and communication.

In my talk, I will present new languages and models that power interactive systems for scalable data exploration. Vega-Lite is a high-level declarative language for rapidly creating interactive visualizations, while also providing a representation for tools that generate visualizations. Draco is a model of visualization design that extends Vega-Lite with design guidelines, formal reasoning over the design space, and visualization recommendation. Falcon and Pangloss enable scalable interaction and exploration of large data volumes by making principled trade-offs among people’s latency tolerance, precomputation, and the level of approximation. A recurring strategy across these projects is to leverage an understanding of people’s tasks and capabilities to inform system design and optimization.

My future research will contribute systems that automatically reason over domain-specific representations of interactive multi-view graphics, visualizations of large data, uncertainty representations, and data analysis. This reasoning can inform how to efficiently run data science pipelines and enhance our ability to analyze and communicate data.

MEAM Seminar: "Fluid Mechanics and Turbulence in Extended Wind Farms"
2019-02-12 10:45 - 11:45 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
In this presentation we discuss several properties of the flow structure and turbulence in the wind turbine array boundary layer (WTABL). This particular type of shear flow develops when the atmospheric boundary layer interacts with an array of large wind turbines. Based on such understanding, we aim to develop reduced order, analytically tractable models. These are important engineering tools for wind energy, both for design and control purposes. We will focus on two fluid mechanical themes relevant to wind farm design and control. The first topic deals with spectral characteristics of the fluctuations in power generated by an array of wind turbines in a wind farm. We show that modeling of the spatio-temporal structure of canonical turbulent boundary layers coupled with variants of the Kraichnan’s random sweeping hypothesis can be used to develop analytical predictions of the frequency spectrum of power fluctuations of wind farms. In the second part we describe a simple (deterministic) dynamic wake model, its use for wind farm control, and its extension to the case of yawed wind turbines. The work to be presented arose from collaborations with Juliaan Bossuyt, Johan Meyers, Richard Stevens, Tony Martinez, Michael Wilczek, Carl Shapiro and Dennice Gayme. We are grateful for National Science Foundation support.

ESE Seminar: "Local Geometric Spectral Data Analysis"
2019-02-08 11:00 - 12:00 | Berger Auditorium (Room 13), Skirkanich Hall, 210 South 33rd Street, Philadelphia, PA, 19104, United States
Modern technological developments have enabled the acquisition and storage of increasingly large-scale, high-resolution, and high-dimensional data in many fields. Yet in domains such as biomedical data, the complexity of these datasets and the unavailability of ground truth pose significant challenges for data analysis and modeling. In this talk, I present new unsupervised geometric approaches for extracting structure from large-scale high-dimensional data. By looking deep within the spectrum of the graph-Laplacian, we define a new robust measure, the Spectral Embedding Norm, to separate clusters from background, and demonstrate its application to both outlier detection and data visualization. This measure further motivates a new greedy clustering approach based on Local Spectral Viewpoints for identifying high-dimensional overlapping clusters while disregarding noisy clutter. We demonstrate our approach on two-photon calcium imaging data, successfully extracting hundreds of individual cells. Finally, to address the computational complexity of applying spectral approaches to large-scale data, we present a new randomized near-neighbor graph construction. Compared to the traditional k-nearest neighbor graph, using our near-neighbor graph for spectral clustering on datasets of a few million points is two orders of magnitude faster, while achieving similar clustering accuracy.
Joint work with Ronald Coifman, Jackie Schiller, Maria Lavzin, Xiuyuan Cheng, George Linderman, Ariel Jaffe, Yuval Kluger and Stefan Steinerberger.

ESE Seminar: "Liquid Silicon: A New Computing Paradigm Enabled by Monolithic 3D Cross-Point Memory"
2019-02-07 11:00 - 12:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
Almost every subfield of electrical engineering and computer science are undergoing disruptive times. With Moore’s Law coming to an end, an expanded roadmap for semiconductors beyond traditional CMOS scaling becomes unclear. At the other end, traditional application software development is being replaced by emerging machine learning techniques whose success will, in turn, rely on the availability of powerful, efficient and flexible computer systems. Due to these emerging applications, architecture is transitioning from mainstream CPU to heterogeneous and diverse options such as GPU, TPU, etc. The confluence of these key trends has created a wide efficiency gap, due to the mismatch between emerging application requirements and the relatively slow evolutionary improvements in existing CMOS-based computer hardware.
To close the gap, in this talk, I will present a reconfigurable memory-oriented computing fabric, namely Liquid Silicon (L-Si) by leveraging the monolithic 3D stacking capability of RRAM. L-Si addresses several key fundamental limitations of state-of-the-art reconfigurable architectures including FPGA, etc. in supporting emerging data-/search-intensive applications (e.g., machine learning and neural networks) through a series of innovations. It, for the first time, extends the configuration capabilities of existing reconfigurable architectures (FPGA, CGRA) from computation to the whole spectrum, from full memory to full computation, or intermediate states in between (partial memory and partial computation). Thus, it allows users more flexibility in customizing hardware to better match an application’s characteristics, for higher performance and energy efficiency. The talk will consist of four parts, technology, architecture, compiler tool, and algorithm, with a combined EE and CS flavor.

MSE Faculty Candidate Seminar: "Energy storage and neuromorphic computing using electrochemical ion insertion"
2019-02-07 10:45 - 11:45 | Auditorium, LRSM Building, 3231 Walnut Street, Philadelphia, PA, 19104, United States

CBE Faculty Candidate Seminar: "Novel Electrolyte Design to Control Electrochemistry in Energy Storage Systems"
2019-02-06 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States

MSE Faculty Candidate Seminar: "Disorder and Superconductivity in 2D TMD Heterostructures"
2019-02-05 10:45 - 11:45 | Glandt Forum, Singh Center for Nanotechnology, 3205 Walnut Street, Philadelphia, PA, 19104, United States

MEAM Seminar: "Hairy Hydrodynamics"
2019-02-05 10:45 - 11:45 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Flexible slender structures in flow are everywhere. While a great deal is known about individual flexible fibers interacting with fluids, considerably less work has been done on fiber ensembles — such as fur or hair — in flow. These hairy surfaces are abundant in nature and perform multiple functions from thermal regulation to water harvesting to sensing. Motivated by these biological systems, we consider several examples of hairy surfaces interacting with flow including drinking bats and diving sea otters. In the first example we consider viscous dipping, a feeding method utilized by many nectar drinking animals. This mechanism is reminiscent of Landau-Levich-Derjaguin (LLD) dip coating, and has been analyzed through the LLD framework in previous studies. However, many viscous dippers have hairy structures on their tongues that enhance fluid uptake. In this study, we investigate the impact of mesoscale hairy structures on feeding efficiency. In the second example, we take inspiration from semi-aquatic mammals (such as fur seals, otters, and beavers) which have specially adapted fur that serves as an effective insulator both above and below water. Many of these animals have evolved pelts that naturally entrap air when they dive. Here we investigate diving conditions and fur properties which amplify air entrainment.

SEAS Lecturers' Seminar on Teaching and Learning: "The Process of Becoming: Identity in Engineering Education"
2019-01-31 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Identity is an enduring and continuous sense of who one is and is often thought of as the answer to the questions, “Who am I, Who can I be, and Where do I belong?” Research shows that developing a robust engineering identity is important for academic and personal development, integration into engineering, and retention within engineering programs. Identity plays animportant role in the ways students see themselves and are recognized or positioned by others as the kind of people who can or cannot become an engineer. This positioning can exclude women, minorities, and first-generation college students who may have more difficulty adopting engineering identities in a culture that often does not position them as engineers. This talk will explore the current research on engineering identity and provide actionable ways for faculty to support students’ processes of becoming engineers.

CIS Seminar: "Made to Order: Verifying Correctness and Security of Hardware through Event Orderings"
2019-01-29 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Correctness and security problems in modern computer systems can result from problematic hardware event orderings and interleavings during an application’s execution. Since hardware designs are complex and since a single user-facing instruction can exhibit a variety of different hardware execution sequences, analyzing and verifying systems for correct event orderings is challenging. My work addresses these challenges by combining hardware architecture and systems approaches with formal methods to support the specification, analysis, and verification of implementation-aware event ordering scenarios, with the specific goal of automatically synthesizing implementation-aware programs capable of violating correctness or security guarantees. In this talk, I will present two formal, early-stage verification tools and techniques rooted in this approach. TriCheck conducts axiomatic full-stack memory consistency model (MCM) verification (from high-level programming languages down through hardware implementations). Using rigorous and efficient formal approaches, TriCheck identified flaws in RISC-V’s draft MCM specification and two counterexamples to a previously proven-correct compiler mapping scheme from C11 to IBM Power and ARMv7. Noting that MCM and security analysis are amenable to similar approaches, CheckMate uses related axiomatic techniques to evaluate susceptibility of a hardware design and its related system support to formally-specified classes of security exploits; in response, it synthesizes proof-of-concept exploit code when a design is susceptible. CheckMate automatically synthesized programs representative of Meltdown and Spectre attacks as well as new exploits, MeltdownPrime and SpectrePrime, that I have demonstrated on Intel hardware.

MEAM Seminar: "Elastomeric Materials for Autonomic Force Transmission, Optoelectric Sensing, and 3D Printing Soft Robots"
2019-01-29 10:45 - 11:45 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
This talk will present multidisciplinary work from material composites and robotics. We have created new types of actuators, sensors, displays, and additive manufacturing techniques for soft robots and haptic interfaces. For example, we now use stretchable optical waveguides as sensors for high accuracy, repeatability, and material compatibility with soft actuators. For displaying information, we have created stretchable, elastomeric light emitting displays as well as texture morphing skins for soft robots. We have created a new type of soft actuator based on molding of foams, and stereolithography printing of elastomer based soft robots, and implemented deep learning in stretchable membranes for interpreting touch. All of these technologies depend on the iterative and complex feedback between material and mechanical design. I will describe this process, what is the present state of the art, and future opportunities for science in the space of additive manufacturing of elastomeric robots.

ESE Seminar: "Hardware Acceleration in the World of Emerging Applications"
2019-01-25 11:00 - 12:00 | Berger Auditorium (Room 13), Skirkanich Hall, 210 South 33rd Street, Philadelphia, PA, 19104, United States
Abstract: Semiconductor technology scaling coming to a screeching halt, coupled with the explosion of data in almost every facet of our lives, makes processing large volumes of data efficiently a critical problem to solve. In this talk, I will highlight three main challenges in designing accelerators and demonstrate that domain-specific hardware acceleration and specialization can provide orders of magnitude in compute efficiency for emerging applications. I will introduce the concept of datatype acceleration, where hardware primitives are designed to directly operate on already-defined software data structures and data containers, and show that specializing both the compute and memory subsystem provides orders of magnitude improvements in performance and energy efficiencies. Creating specialized encapsulated data accesses and datapaths allows us to mitigate unnecessary data movement, take advantage of traditional optimization techniques such as data and pipeline parallelism, and consequently provide substantial energy savings while obtaining significant performance gains. As case studies for three emerging application domains, I will briefly touch on accelerating database and graph analytics while offering in-depth examples in accelerating genomic analytics on the AWS EC2 F1 instances. As a vision for future hardware acceleration research, I will demonstrate how to create an ecosystem that makes designing, deploying, and using custom hardware almost as easy as writing and using software.

MEAM/GRASP Seminar: "Geometric Biologically Inspired Robots that Span Industries from Medical to Manufacturing"
2019-01-25 11:00 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
The animal kingdom is full of both human and non-human animals worthy of investigation, emulation and re-creation. As such, my research group has created a comprehensive research program focusing on biologically-inspired robots, and has applied them to search and rescue, minimally invasive surgery, and manufacturing. These robots inspire great scientific challenges in mechanism design, control, planning and estimation theory. These research topics are important because once the robot is built (design), it must decide where to go (path planning), determine how to get there (control), and use feedback to close the loop (estimation). A common theme to these research foci is devising ways by which we can reduce multi-dimensional problems to low dimensional ones for planning, analysis, and optimization. In this talk, I will discuss our results in geometric mechanics, Bayesian filtering, and scalable multi-agent planning to support these reductions. This talk will also cover how my students and I commercialized these technologies by founding three companies: Medrobotics, Hebi Robotics, and Bito Robotics. In 2015, the surgical snake robot from Medrobotics cleared the FDA and has begun to democratize the delivery of medical care in the US and Europe If time permits, I will also discuss my educational activities, especially at the undergraduate level, with a course using LEGO robots, and the role of entrepreneurism in University education.

The Jack Keil Wolf Lecture in Electrical and Systems Engineering: "The Invention of High Efficient Blue LEDs and Future Solid State Lighting"
2019-01-24 15:00 - 16:30 | Glandt Forum, Singh Center for Nanotechnology, 3205 Walnut Street, Philadelphia, PA, 19104, United States

MSE Faculty Candidate Seminar: "Shedding Light on Pain Therapeutics: From Externally-Triggerable Drug Delivery Systems to Bioelectronics"
2019-01-24 10:45 - 11:45 | Auditorium, LRSM Building, 3231 Walnut Street, Philadelphia, PA, 19104, United States

CBE Seminar: "Understanding and Characterizing How Nanostructured Surfaces Perturb Water Structure: Applications to the Prediction of Protein Interactions and the Design of Soft Materials"
2019-01-23 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States

ESE Seminar: "Efficient Mid-Infrared Photodetection Using Graphene Plasmons at Room Temperature"
2019-01-22 11:00 - 12:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
In the history of materials development, many classic materials (Si, III-Vs, organics, etc.) which can be produced reliably at large scale eventually have found critical applications after decades of intensive research, leveraging their distinctive properties. For example, silicon dominates the field-effect-transistor technology because perfect dielectric-silicon interface can be readily realized. Organic materials are currently widely used in flat-panel displays, because of their great light emitting properties and the availability of cost-effective production techniques. In this talk, I will first discuss the unique properties of graphene, the first two-dimensional material isolated about 15 years ago, including ultralow heat capacity, high mobility, and weak electron-phonon coupling strength. Leveraging these unique properties, I will then present an efficient mid-infrared photodetector based on graphene plasmons operational at room temperature. Since high-quality wafer-scale graphene can already be produced routinely, such efficient mid-infrared photodetectors may find applications in high-speed thermal imaging and free-space communications.

MSE Faculty Candidate Seminar: "Advanced methods and alternative materials to drive next-generation energy storage"
2019-01-22 10:45 - 11:45 | Glandt Forum, Singh Center for Nanotechnology, 3205 Walnut Street, Philadelphia, PA, 19104, United States

MEAM Seminar: "Viewing Earth's Surface as a Soft Matter Landscape"
2019-01-22 10:45 - 11:45 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
The Earth’s surface is composed of a staggering diversity of particulate-fluid mixtures: dry to wet, dilute to dense, colloidal to granular, attractive to repulsive particles, laminar to turbulent flows, and steady to highly-unsteady forcing. This material variety is matched by the range of relevant stresses and strain rates, from rapid and catastrophic landslides to the slow relaxation of soil over geologic timescales. In this talk I illustrate the commonalities and challenges in understanding geophysical flows by highlighting two problems: gravity-driven downslope soil movement, and fluid-driven particle transport in rivers.
Soil on hillslopes slowly and imperceptibly creeps downhill, but suddenly liquefies to produce landslides. The transition between creeping and flowing is a yield condition, often defined in terms of the shear stress, that depends on the characteristics of the soil and the geologic environment. We show that the nature of this transition, however, is general. Creep is the localized and erratic motion of soil grains below yield; because this kind of fragility is a generic consequence of disorder, soil creep should be similar to amorphous glass. Indeed, we find that the transition from creeping to landsliding is a continuous phase transition that follows predictions from glass transition models. The generality of this transition suggests that the onset of sediment transport in rivers should behave in a similar manner, and we demonstrate that this is the case using laboratory experiments and simulations. Because the sediment transport rate rapidly increases for stresses above yield, many landscapes such as rivers organize to be close to the yield point. In essence, landscapes flicker back and forth across the glass transition. We explore several consequences of these dynamics for the sculpting of landscapes.

CIS Seminar: "What Should We Do With Persistent Main Memory?"
2019-01-17 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Memory systems are on the verge of a renaissance: Scalable, persistent main memories (e.g., Intel’s 3DXPoint) are the first new technology to enter the upper layers of the memory hierarchy in 50 years. They bring a fundamentally new capability (i.e., persistence), a dramatic increase in capacity, and an array of complications (e.g., asymmetric read and write performance, power limitations, and wear out). This combination of characteristics raises a deceptively simple but fundamental question: What should we do with persistent main memory? In this talk, I will describe several potential answers and the systems my group has built to help understand how different answers affect performance, programmability, and other aspects of system design. I’ll also highlight the central challenges that these memories present and try to summarize what we have learned about them. Finally, I’ll describe what I see as the most interesting avenues for future work.

ESE Seminar: "Towards a Seamless Integration of Drones in Smart Cities: Communications and Security"
2019-01-17 11:00 - 12:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
The use of unmanned aerial vehicles (UAVs), popularly known as drones, will be an integral component of emerging smart city applications ranging from delivery of goods to flying taxis. However, a seamless deployment of such drone-based applications requires addressing technical challenges across communications, security, autonomy, and control. In this talk, we focus on the wireless communications and security challenges of drone-based systems. From a communications perspective, UAVs can assume two roles: aerial base stations that enhance the coverage and capacity of wireless networks and flying users that require wireless cellular connectivity for enabling applications such as real-time streaming and item delivery. With this in mind, we introduce a foundational framework for designing three-dimensional (3D) wireless cellular networks that incorporate both drone base stations and cellular-connected drone users. For this novel 3D model, we study a number of key problems including drone deployment, network planning, and cell association. Then, we turn our attention to the cyber-physical security challenges brought forward by the deployment of drones. In this area, we present a holistic framework, with foundations in behavioral game theory, for addressing fundamental cyber-physical security problems pertaining to drone-based systems. In particular, we show how notions of risk, bounded rationality, and uncertainty can influence the security of drone-based systems and we develop new game-theoretic solutions that explicitly account for such factors in security analyses. We conclude by an overview on our ongoing research activities that cut across the areas of cyber-physical systems, wireless networks, game theory, machine learning, security, and control.

MSE Seminar: "Respectful Workplaces + Implicit Bias"
2019-01-17 10:45 - 11:45 | Auditorium, LRSM Building, 3231 Walnut Street, Philadelphia, PA, 19104, United States

MEAM Seminar: "Stretching the Boundaries of Medical Robotics"
2019-01-15 10:45 - 11:45 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Abstract: My lab creates medical robots not only for minimally invasive surgery, but also for targeted drug delivery and for tissue regeneration. This talk will describe three of our technologies. The first consists of tetherless robots that are powered, controlled and imaged using an MRI scanner. These devices vary from patient-mounted needle-driving robots to capsules that can move inside fluid-filled body lumens. The second technology consists of a class of robot implants designed to apply traction forces over a period of weeks inside the body so as to induce the regeneration of soft tissues. Applications include lengthening the esophagus and bowel for the treatment of congenital defects and disease. The third is a type of continuum robot that is based on concentrically combining pre-curved superelastic tubes. We are using this technology to create multi-armed systems for intracranial endoscopic surgery. We are also developing endoscopically-guided catheters that can navigate autonomously inside the blood-filled beating heart.

REACT@Penn 2019: Policy, Technology and Science for Global Challenges
2019-01-14 11:30 - 15:30 | Perry World House, 3803 Locust Walk, Philadelphia, PA, 19104, United States
This REACT@Penn meeting will be at the Perry World House and will bring together policy experts and researchers around the global challenges of water, energy and health. Registration is free, but please register in advance.
