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
语言:英语
配有同声传译
线上活动
ABOUT THE SERIES/关于本系列
At Penn, we work hard to ensure that our students are career and future ready. This brand-new series entitled Penn at Work - Making Your Future - 2021 and Beyond covers carefully curated topics that will define the future and reshape humanity through the lens of our students, faculty, alumni, and industry leaders.
在宾大,我们放眼于未来,立足于当下的教育与人才培养。2021新年伊始,我们为您带来全新的在线讲座系列——宾大:着眼于未来的教育及研究。这一系列讲座涉及诸多引领未来的前沿领域,特邀宾大沃顿专家教授、行业领军人物和知名校友,剖析行业动向,与您共同展望未来。
ABOUT THE EVENT/关于本次活动
In this research panel, three of our faculty members will describe their emerging cutting-edge research in the areas of computer vision, materials science, and emerging hardware for machine learning, and the importance of collaborative approaches to education and research. The panelists will discuss the new work and put it in context of emerging markets and technology trends in the Asia-Pacific and Americas region.
此次在线活动特邀宾大工程学院三名专家教授分享在人工智能计算机视觉、材料工程和机器学习硬件研发方面的进展、行业趋势与前景。
> Theme:
Technological research and innovation trends relevant to China and the US.
> Introduction
Prof. Vijay Kumar, Nemirovsky Family Dean, Penn Engineering
> Moderator
Prof. Boon Thau Loo, RCA Professor of Computer and Information Science and Associate Dean for Graduate Programs
> Panel
Prof. Jing Li, Eduardo D. Glandt Faculty Fellow and Associate Professor (ESE, CIS)
Prof. Jianbo Shi, Professor (CIS)
Prof. Shu Yang, Professor (CBE, MSE)
> 主题:
与中美两国相关的技术研究和创新趋势
> 介绍:
Prof. Vijay Kumar, Nemirovsky Family Dean, Penn Engineering
> 主持人:
Prof. Boon Thau Loo, RCA Professor of Computer and Information Science and Associate Dean for Graduate Programs
> 讨论:
Prof. Jing Li, Eduardo D. Glandt Faculty Fellow and Associate Professor (ESE, CIS)
Prof. Jianbo Shi, Professor (CIS)
Prof. Shu Yang, Professor (CBE, MSE)
SPEAKERS/讲者介绍
Vijay Kumar
Nemirovsky Family Dean, Penn Engineering
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
RCA Professor of Computer and Information Science and Associate Dean for Graduate Programs
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
Professor (CBE, MSE)
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 Li
Eduardo D. Glandt Faculty Fellow and Associate Professor (ESE, CIS)
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
Professor (CIS)
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.
INFORMATION/活动信息
> Title: Emerging Research at Penn Engineering
> Date & Time:
- Mar 6th 2021, 09:00 AM Beijing Time
- Mar 5th 2021, 08:00 PM Eastern Time
- Mar 5th 2021, 05:00 PM Pacific Time
> 活动主题:宾大工程学院前沿创新研究分享会
> 活动日期:
- 2021年3月6日,北京时间,上午09:00
- 2021年3月5日,美东时间,下午08:00
- 2021年3月5日,美西时间,下午05:00
Click "Read More" to register. The link will be distributed through a text message at 06:00 PM on Mar 5.
请点击“阅读原文”注册活动。活动链接将在3月5日下午18:00通过短信形式发送到您预留的手机号。
If you are interested in this topic, please leave your questions while the registration. The speaker will select some questions to answer.
如果您对此话题感兴趣,请在注册时留下您的问题。讲者将会选取一些问题进行解答。
The webinar will use Zoom as its platform. To download or learn how to use Zoom please visit:
活动将通过Zoom平台进行。下载和了解使用方法请访问下列链接:
https://zoom.us/download
宾大沃顿中国中心由美国宾夕法尼亚大学和沃顿商学院于2015年3月共同成立,旨在进一步加强宾大与中国的学术和文化交流。宾大沃顿中国中心将为宾大教授、学生、在华校友和各界友人进行知识分享和文化交流提供服务,也将成为连接中国和宾夕法尼亚大学的纽带,促进双方在研究和教学领域的合作。
The March 2015 opening of the Penn Wharton China Center (PWCC) represented a substantial commitment to advance the long history of engagement with China by the Wharton School and its parent university, the University of Pennsylvania (Penn) PWCC provides on-the-ground support for the growing numbers of programs and collaborations between Penn’s 12 schools and many academic, government, and business partners throughout China.