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Penn Engineering Class of 2020 Undergraduate and Master’s Graduate Recognition

Dean Vijay Kumar will address the Penn Engineering Class of 2020 undergraduate and master’s graduates and their loved ones. Join us to hear Dean Kumar’s address, view student photos, and watch congratulatory video messages submitted by students’ families and by Penn Engineering faculty and staff. Please visit this webpage to access the link to our […]

Penn Engineering Class of 2020 Doctoral Graduate Recognition

Join us to hear a message from the Dean of Penn Engineering, Dr. Vijay Kumar, and view a virtual roll call of the Class of 2020 doctoral graduates, complete with video messages from our graduates and members of the Penn Engineering faculty. The total run time of this virtual celebration is less than one hour. […]

Cancelled: CIS Seminar: “Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

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 […]

Cancelled CIS Seminar:” Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

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 […]

Cancelled: CIS Seminar:”New Compilation Techniques for Reconfigurable Analog Devices”

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 […]

Cancelled: CIS Seminar: “Deep Probabilistic Graphical Modeling”

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 […]

Cancelled: CIS Seminar: “The Value Alignment Problem in Artificial Intelligence”

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 […]

CIS Seminar: “Building Data-Driven Computers: Reimagining Systems to Reduce the High Costs of Large-Scale Data Processing”

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, […]

CIS Seminar: “Breaking and Building End-to-End Encrypted Systems”

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 […]

CIS Seminar: “Risk-Aware Machine Learning at Scale”

Abstract: In recent years, machine learning has seen rapid advances with increasingly large scale and complex data modalities, including processing images, natural language and more. As a result, applications of machine learning have pervaded our lives to make them easier and more convenient. Buoyed by this success, we are approaching an era where machine learning […]

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