3.6线上活动 | 宾大工程学院前沿创新研究分享会

3月

 6日

周三

09:00（北京时间）

Emerging Research at Penn Engineering 

宾大工程学院前沿创新研究分享会

VIJAY KUMAR is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. He received his Bachelor’s of Technology from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987. He has been on the Faculty in the Department of Mechanical Engineering at the University of Pennsylvania since 1987.  

In addition to holding many administrative positions at Penn, Kumar has served as the assistant director of robotics and cyber physical systems at the White House Office of Science and Technology Policy (2012 – 2013).  His lab has founded many startups in robotics, and he is the founder of Exyn Technologies. He is a Fellow of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). He was elected to the National Academy of Engineering in 2013 and the American Philosophical Society in 2018. 

Boon Thau Loo is the RCA Professor of artificial intelligence in the Computer and Information Science (CIS) department at the University of Pennsylvania. He holds a secondary appointment in the Electrical and Systems Engineering (ESE) department. He is also the Associate Dean for Graduate Programs, where he oversees all academic and admissions operations for doctoral, master’s and professional programs at Penn Engineering. He leads the NetDB@Penn research team, and is also currently the director of the Distributed Systems Laboratory (DSL), an inter-disciplinary systems research lab bringing together researchers in networking, distributed systems, and security. In addition to his academic work, he actively participates in entrepreneurial activities and has co-founded two technology companies that were successfully acquired.

Shu Yang is a Professor in the Departments of Materials Science & Engineering, and Chemical & Biomolecular Engineering at University of Pennsylvania (Penn). Her group is interested in synthesis, fabrication, and assembly of (bio)polymers, gels, liquid crystals, colloids, and their composites; dynamic tuning of the sizes, shape and assembled structures, and use of geometry to create highly flexible, super-conformable, and shape changing materials. Combining novel materials at the nanoscale and geometric designs at micro- and macroscales, the Yang lab explores unique surface, optical, and mechanical properties for potential applications, including coatings, adhesives, displays, (bio)sensors, energy efficient building skins, robotics, biomedical devices, and wearable technology.

Yang received her B.S. degree from Fudan University in 1992, and Ph. D. degree from Cornell University in 1999. She worked at Bell Laboratories, Lucent Technologies as a Member of Technical Staff before joining Penn in 2004. She received the George H. Heilmeier Faculty Award for Excellence in Research from Penn Engineering (2015-2016). She is a Fellow of Division of Soft Matter (DSOFT) from American Physical Society (APS) (2018), Division of Polymeric Materials: Science and Engineering from American Chemical Society (ACS) (2018), Royal Chemical Society (2017), and National Academy of Inventors (2014). She serves as an Associate Editor of Science Advances and Polymer Reviews, respectively, and as a Scientific Editor of Materials Horizon.

Jing (Jane) Li is the Eduardo D. Glandt Faculty Fellow and Associate Professor of Electrical and Systems Engineering (primary) and of Computer and Information Science (secondary) at the University of Pennsylvania. She spent her early career at IBM T. J. Watson Research Center as a Research Staff Member and was one of founding members of Hardware Accelerator and Machine Learning Group at IBM. She is broadly interested in developing fundamental methods for workload optimized systems, ranging from embedded systems, IoT to cloud/data centers and super computers. Her group has focused on cross-stack approaches to synergistically optimize algorithm, software, and hardware for machine learning, graph analytics, and information retrieval. To validate the research ideas, her research puts a strong emphasis on real system prototype both at chip level and system level.

She is one of the founding members for a new research community – machine learning system with leading IT companies. Her past contributions to IBM’s IP portfolio had been essential to multiple lucrative partnerships. The innovations were implemented in prototypes by global partners and vendors within the area of memory products. She won IBM Research Division Outstanding Technical Achievement Award for successfully achieving CEO milestone on multi-bit storage class memory. She served as the advisory chair and steering committee for an industrial memory venue – International Memory Workshop (IMW) to hold annual meetings with worldwide memory vendors. She is in the program committee for International Symposium of Computer Architecture (ISCA) Industry Track. She holds over 40 patents.

Jianbo Shi was born in Shanghai, China. He studied Computer Science and Mathematics as an undergraduate at Cornell University where he received his B.A. in 1994. He received his Ph.D. degree in Computer Science from University of California at Berkeley in 1998, for his thesis on Normalize Cuts image segmentation algorithm. In January 2003, he joined the Department of Computer & Information Science at University of Pennsylvania where he is currently a Professor His current research focuses on human behavior analysis and image recognition-segmentation. His other research interests include image/video retrieval, and vision based desktop computing. His long-term interests center around a broader area of machine intelligence, he wishes to develop a "visual thinking" module that allows computers not only to understand the environment around us, but also to achieve higher level cognitive abilities such as machine memory and learning.