Keynote Speakers
Here are some of our keynote speakers
Quan Chen
Title : Towards low latency serverless computing for complex applications
ABSTRACT: Serverless computing has been widely used to run fine grained functions
in the cloud native era. However, large scale applications with complex dependencies between the
functions are not able to benefit from serverless computing. This is mainly because the design
logic of serverless computing did not consider: 1) the impact of the communication overheads
between the functions, 2) the overhead of the cold container startup. To this end, this talk
introduces the key challenges in serverless computing to handle complex applications, the
communication-aware function scheduling, and a technique that alleviates the container cold
startup through inter-function container sharing.
BIO: Dr. Quan Chen is a professor at the department of computer science and
engineering, Shanghai Jiao Tong University. His main research interest lies in computer systems,
computer architectures and cloud computing. He has published over 100 peer-reviewed papers in
leading venues related to these areas, including ASPLOS, ATC, ISCA, SC, ICS, TPDS, TC, et, al.
He is the recipient of the NSFC career award, and IEEE TCSC Award for Excellence (Early career
researcher). He is awarded the 2019 Alibaba DAMO Academy Young Fellow. He is on the editorial
board of Parallel Computing, JCST, and FCS.
Gautam Srivastava
Title : Blockchain Technology for the Internet of Medical Things
ABSTRACT: The healthcare industry has been at the cutting edge of technology
since time immemorial. Hardware, software, medication, surgical procedures; the quality of care
available to patients in 2022 has never been better. And yet, the administration and data
management underpinning that care is severely lagging behind. In this talk, we will examine
how Blockchain Technology may be a game changer for the Medical profession. The technology
most commonly associated with Bitcoin could actually transform how we manage electronic medical
records (EMR). Deploying EMR using blockchain has the potential to fundamentally disrupt the
healthcare industry for good. During this tutorial, we will look at the pros as well as the
cons of such implementations. We will dive into current research that is ongoing in this growing
field and try to predict future directions this research may take.
BIO: Dr. Gautam Srivastava (Senior Member, IEEE) has extensive Editorial Experience
including IEEE Trans on Fuzzy Systems, IEEE Trans on Industrial Informatics, IEEE Transactions on
Intelligent Transportations Systems, ACM Transactions on Internet Technology, and ACM Transactions
on Low-Resource Asian Languages. Dr. Gautam Srivastava was awarded a B.Sc. from Briar Cliff
University in Sioux City, Iowa, the U.S.A. in 2004, followed by an M.Sc. and Ph.D. from the
University of Victoria in Victoria, British Columbia, Canada, in the years 2006 and 2012,
respectively. He then worked for 3 years at the University of Victoria in the Department of
Computer Science (Faculty of Engineering), where he was regarded as one of the top Undergraduate
professors in Computer Science Course Instruction at the University. From there in 2014 he started
a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is
an Assistant Professor. Dr. G (as he is popularly known) is active in research in the fields of Data
Mining and Big Data. During his 8-year academic career, he has published a total of 400 papers in
high-impact conferences and journals. He has over 7000 citations in his career and has been recognized
with additional adjunct positions in Canada, Taiwan, India, and China. He has given keynote addresses
at many well known conferences. Dr. Srivastava currently hold a federal grants through NSERC, MITACS,
and CIRA. He also sits on many internal funding agencies as an external reviewer and is currently a
Section Chair for the NSERC Discovery Grant Evaluation Group for Computer Science.
Google Scholar:
https://scholar.google.ca/citations?user=qk9hEQoAAAAJ&hl=en
Jian Li
Title: Heterogenous data compression and security enhancement for cloud infrastructure
ABSTRACT: Currently, the heterogenous hardware has been widely adopted in
cloud datacenter to provide a wide variety of performance accelerations, TCO reduction and
security enhancements. However, practical deployment of such heterogenous system relies on
deep system software (such as FS or KMS) codesign with the miscellaneous hardware. Data
compression that can not only provide space efficiency with lower Total Cost of Ownership
(TCO) but also enhance I/O performance to address the storage wall because of the reduced
read/write operations. However, lossless compression algorithms with high compression ratio
(e.g. gzip) inevitably incur high CPU resource consumption. This talk will introduce an
ASIC-accelerated compression in file system to transparently benefit all applications running
on it and provide high-performance and cost-efficient data storage. In addition, this talk
will also introduce the high-critical data protection, such as the private key, in public
cloud infrastructure.
BIO: Jian Li received the PhD degree in computer science from the “Institut National
Polytechnique de Lorraine (INPL)”- Nancy, France, in 2007. He is currently a professor in School of
Software, Shanghai Jiao Tong University. He is an ACM member, IEEE senior Member and CCF member. His
research interests include virtualization, networking system and cloud computing. He has fruitful
publications in the related scope, and the representative publications include PPoPP, ATC, SoCC, VEE,
INFOCOM, ICPP, DATE, TPDS, JSAC, TDSC, TCC, JSA, etc.