Many of the activities in cyberspace, from social networking to the use of mobile apps, leave digital footprints compromising the users’ privacy.  As digital tracking technologies become more sophisticated and pervasive, there is a need to understand and quantify the users’ privacy risk, that is, what is the likelihood that users in cyberspace can be […]

*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… Algorithms play a central role in our lives today, mediating our access to civic engagement, social connections, employment opportunities, news media and more. While the sociotechnical systems deploying these algorithms—search engines, social networking sites, and others—have the […]

This special event is part of the virtual programming for Penn Homecoming 2021 and is open to all alumni, parents, and friends. Nemirovsky Family Dean and Professor Vijay Kumar will give a State of the School Update including an overview of the newly established Center for Precision Engineering for Health, which will bring together researchers […]

Semiconductor sales will reach over $500 billion worldwide in 2021, a gigantic industry that keeps on growing with increasing demand for faster, more powerful, and smaller chips. However, as we keep scaling, the silicon (Si) transistor will soon reach its physical limit, and there is a pressing need to find an alternative post-Si material to […]

Over the last 5-10 years, deep learning has transformed biomedical imaging, from enhancing acquisition to maximizing downstream utility of scans. My research group has been at the forefront of this revolution, developing novel methods that have laid the foundation for next-generation tools. As I will describe in my talk, much of this progress relies on […]

Thirty years ago, semiconductor manufacturers (wafer fabs) rolled their eyes and muttered under their breath when they heard the word MEMS.  Micro-Electromechanical Mechanical Systems are minute mechanical devices built on silicon integrated circuit wafers.  They are the microphones, gravity sensors, oscillators, motion sensors, electronic filters in your cell-phone – and more.  MEMS processes were “weird”.   […]

In many applications in robotics, there exist teams of robots operating in dynamic environments requiring the design of complex communication and control schemes. The problem is made easier if one assumes the presence of an oracle that has instantaneous access to states of all entities in the environment and can communicate simultaneously without any loss. […]

*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  There have been significant advances in the field of robot learning in the past decade. However, many challenges still remain when studying how robot learning can advance interactive agents such as robots that collaborate […]

The exponential growth of biological datasets in recent years has increased the dependency of cancer research on AI and computational analysis. Cancer evolves through the accumulation of genetic events over time, which are represented through different types of data. Integration of machine learning methods with temporal modeling and genomic methods has the potential to improve our […]

*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  The prevalent approach to object manipulation is based on the availability of explicit 3D object models. By estimating the pose of such object models in a scene, a robot can readily reason about how […]