Difference between revisions of "CSE730x Research Seminar"

From Cyber-Physical Systems Laboratory
Jump to navigationJump to search
 
Line 3: Line 3:
 
  |}
 
  |}
  
−
* '''Instructors:''' [http://www.cse.wustl.edu/~lu Chenyang Lu] and [http://www.cse.wustl.edu/~roman Gruia-Catalin Roman]
+
* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
−
* '''Time: Friday at 2-3pm, Location: Jolley 542'''
+
* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431'''
 +
* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
  
−
This seminar examines fundamental and emerging concepts in concurrency and distribution by studying seminal papers and recent research results.  Broad topics of interest include models of concurrency, mobile computing, parallel architectures, sensor networks, distributed algorithms, and specialized protocols. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants.
+
This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is '''Machine Learning for Health'''. We will read and discuss papers from recent major conferences on machine learning, data mining, and AI related to healthcare.  These conferences include:
  
−
The theme of this semester's seminar is Wireless Sensor Networks. We will read and discuss papers from recent major conferences on mobile, wireless, and sensor networks and systems. These conferences include:
+
* SenSys ([http://sensys.acm.org])
 +
* IPSN ([http://ipsn.acm.org])
 +
* RTSS ([http://www.rtss.org/])
 +
* RTAS ([http://www.rtas.org/])
 +
* ICCPS ([http://www.iccps.org])
 +
* Wireless Health ([http://mobihealth.name/])
 +
* MobiCom ([https://sigmobile.org/mobicom/2019/])
 +
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 +
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 +
* NSDI ([https://www.usenix.org/conference/nsdi19])
 +
* SOSP ([https://www.sigops.org/])
 +
* OSDI ([https://www.usenix.org/conference/osdi18/])
  
−
* [http://sensys.acm.org/ SenSys]
 
−
* IPSN ([http://portal.acm.org/citation.cfm?id=984626&coll=portal&dl=ACM&CFID=26359144&CFTOKEN=96957034 ACM Archive])
 
−
* MobiCom ([http://portal.acm.org/toc.cfm?id=SERIES395&type=series&coll=ACM&dl=ACM&CFID=26358907&CFTOKEN=49744667 ACM archive])
 
−
* MobiSys ([http://www.sigmobile.org/mobisys/2006/ 2006], [http://portal.acm.org/toc.cfm?id=SERIES11190&type=series&coll=ACM&dl=ACM&CFID=26358907&CFTOKEN=49744667 ACM archive])
 
−
* NSDI ([http://www.usenix.org/events/nsdi07/ USENIX Website])
 
−
* [http://sosp.org/ SOSP]
 
−
* OSDI ([http://www.informatik.uni-trier.de/%7Eley/db/conf/osdi/ Archive website])
 
−
* RTSS ([http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000619 IEEE Archive])
 
−
* RTAS (IEEE Archive: [http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000616 part1] [http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000621 part2])
 
  
−
When choosing a paper to present, you may look through the conferences mentioned above, or view the [[List of Potential Papers|list of potential papers]].
 
  
−
=== September 12, 2008 - Sangeeta Bhattacharya ===
 
  
−
=== September 19, 2008 - Greg Hackmann ===
 
  
−
<pre>
 
−
A Measurement Study of Vehicular Internet Access Using In Situ Wi-Fi Networks.
 
−
Vladimir Bychkovsky, Bret Hull, Allen K. Miu, Hari Balakrishnan, Samuel Madden.
 
−
MobiCom 2006.
 
−
</pre>
 
  
−
Links: [http://nms.lcs.mit.edu/papers/meas-mobicom06.pdf Paper] [http://nms.lcs.mit.edu/papers/meas-mobicom06.ppt Slides]
 
  
−
=== September 26, 2008 - Yong Fu ===
+
==Previous Semesters==
−
<pre>
 
−
Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao, and Feng Zhao,
 
−
"Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services"
 
−
NSDI 2008, San Francisco, CA, April 2008.
 
−
</pre>
 
−
 
 
−
Links: [http://research.microsoft.com/~liuj/publications/provisioning-nsdi08.pdf Paper] [http://research.microsoft.com/~liuj/publications/provisioning-nsdi08.pptx Slides]
 
−
 
 
−
=== October 3, 2008 - Vincent Guo ===
 
−
'''A Measurement Study of Interference Modeling and Scheduling in Low Power Wireless Networks'''. Ritesh Maheshwari (Stony Brook University, US); Shweta Jain (Staccato Communications, US); Samir Das (Stony Brook University, US). SenSys'08.
 
  
−
'''Abstract:'''
+
* [[Seminar Fall 2019|Fall 2019]]
−
<blockquote>
+
* [[Seminar Summer 2019|Summer 2019]]
−
Accurate interference models are important for use in transmission scheduling algorithms in wireless networks. In
+
* [[Seminar Spring 2019|Spring 2019]]
−
this work, we perform extensive modeling and experimentation on two 20-node TelosB motes testbeds { one indoor and
+
* [[Seminar Fall 2018|Fall 2018]]
−
the otheroutdoor { to compare a suite of interference models for their modeling accuracies. We ¯rst empirically
+
* [[Seminar Summer 2018|Summer 2018]]
−
build and validate the physical interference model via a packet reception rate vs. SINR relationship using a
+
* [[Seminar Spring 2018|Spring 2018]]
−
measurement driven method. We then similarly instantiate other simpler models,such as hop-based, range-based, prot-
+
* [[Seminar Fall 2017|Fall 2017]]
−
ocol model,etc. The modeling accuracies are then evaluated on the two testbeds using transmission scheduling exper-
+
* [[Seminar Summer 2017|Summer 2017]]
−
iments. We observe that while the physicalinterference model is the most accurate, it is still far from perfect,
+
* [[Seminar Spring 2017|Spring 2017]]
−
providing a 90-percentile error about 20-25% (and 80 percentile error 7-12%),depending on the scenario. The accura-
+
* [[Seminar Fall 2016|Fall 2016]]
−
cy of the other models is worse and scenario-speci¯c. The second best model trails the physical model by roughly
+
* [[Seminar Summer 2016|Summer 2016]]
−
12-18 percentile points for similar accuracy targets. Somewhat similar throughput performance di®erential between
+
* [[Seminar Spring 2016|Spring 2016]]
−
models is also observed when used with greedy scheduling algorithms. Carrying on further, we look closely into the
+
* [[Seminar Fall 2015|Fall 2015]]
−
the two incarnations of the physical model {`thresholded'(conservative, but typically considered in literature)
+
* [[Seminar Summer 2015|Summer 2015]]
−
and `graded' (more realistic). We show via solving the one shot scheduling problem, that the graded version can
+
* [[Seminar Spring 2015|Spring 2015]]
−
improve `expected throughput' over the thresholded version by scheduling imperfect links.
+
* [[Seminar Fall 2014|Fall 2014]]
−
</blockquote>
+
* [[Seminar Summer 2014|Summer 2014]]
−
'''Links''':[http://www.wings.cs.sunysb.edu/~ritesh/Papers/Ritesh-Sensys08-Interference.pdf paper] [http://www.cse.wustl.edu/wsn/images/3/3f/A_measurement_study_of_interference_modeling_and_scheduling_in_LPWN_2.odp slide(open document format)]
+
* [[Seminar Spring 2014|Spring 2014]]
−
 
+
* [[Seminar Fall 2013|Fall 2013]]
−
=== October 10, 2008 - Chengjie Wu ===
+
* [[Seminar Summer 2013|Summer 2013]]
−
<pre>
+
* [[Seminar Spring 2013|Spring 2013]]
−
IP is Dead, Long Live IP for Wireless Sensor Networks,
+
* [[Seminar Fall 2012|Fall 2012]]
−
 
+
* [[Seminar Summer 2012|Summer 2012]]
−
Jonathan W. Hui and David E. Culler. To appear in Proceedings of SenSys '08.
+
* [[Seminar Spring 2012|Spring 2012]]
−
</pre>
+
* [[Seminar Fall 2011|Fall 2011]]
−
 
+
* [[Seminar Summer 2011|Summer 2011]]
−
Links: [http://www.cs.berkeley.edu/~jwhui/pubs/jhui-sensys08-ipv6.pdf Paper]
+
* [[Seminar Spring 2011|Spring 2011]]
−
 
+
* [[Seminar Fall 2010|Fall 2010]]
−
=== October 17, 2008 - Chien-Liang Fok ===
+
* [[Seminar Spring 2010|Spring 2010]]
−
 
+
* [[Seminar Fall 2009|Fall 2009]]
−
''Fall Break''
+
* [[Seminar Summer 2009|Summer 2009]]
−
 
+
* [[Seminar Spring 2009|Spring 2009]]
−
=== October 24, 2008 - Justin Luner ===
+
* [[Seminar Fall 2008|Fall 2008]]
−
<pre>
 
−
"Practical Asynchronous Neighbor Discovery and Rendezvous for Mobile Sensing Applications,"
 
−
Prabal Dutta and David Culler,
 
−
In Proceedings of the Sixth ACM Conference on Embedded Networked Sensor Systems (SenSys'08). To appear.
 
−
</pre>
 
−
 
 
−
Links: [http://www.cs.berkeley.edu/~prabal/pubs/papers/dutta08disco.pdf Paper]
 
−
 
 
−
=== October 31, 2008 - Octav Chipara ===
 
−
 
 
−
=== November 7, 2008 - Sangeeta Bhattacharya ===
 
−
 
 
−
=== November 14, 2008 - Greg Hackmann ===
 
−
 
 
−
<pre>
 
−
NAWMS: Nonintrusive Autonomous Water Monitoring System.
 
−
Younghun Kim, Thomas Schmid, Zainul M. Charbiwala, Jonathan Friedman, Mani B. Srivastava.
 
−
SenSys '08.
 
−
</pre>
 
−
 
 
−
Links: [http://nesl.ee.ucla.edu/~neslfw/documents/conference/2008/fp1569121580-kim.pdf Paper] [http://nesl.ee.ucla.edu/~neslfw/documents/slides/2008/Sensys2008_NAWMS.pdf Slides]
 
−
 
 
−
=== November 21, 2008 - Yong Fu===
 
−
 
 
−
=== November 28, 2008 - N/A ===
 
−
 
 
−
''Thanksgiving''
 
−
 
 
−
=== December 5, 2008 - Vincent Guo ===
 
−
 
 
−
=== December 12, 2008 - Chengjie Wu ===
 
−
 
 
−
=== December 19, 2008 - N/A ===
 
−
 
 
−
''Winter Break''
 
−
 
 
−
==Previous Semesters==
 
 
* [[Seminar Summer 2008|Summer 2008]]
 
* [[Seminar Summer 2008|Summer 2008]]
 
* [[Seminar Spring 2008|Spring 2008]]
 
* [[Seminar Spring 2008|Spring 2008]]
Line 137: Line 84:
 
* [http://cec.wustl.edu/~cs673/backUp/fall.1998.html Fall 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/fall.1998.html Fall 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/spring.1998.html Spring 1998]
 
* [http://cec.wustl.edu/~cs673/backUp/spring.1998.html Spring 1998]
 +
 +
==Previous Lab Meetings==
 +
* [[Labmeeting Spring 2020|Spring 2020]]
 +
* [[Labmeeting Fall 2014|Fall 2014]]
 +
* [[Labmeeting Summer 2014|Summer 2014]]
 +
* [[Labmeeting Spring 2014|Spring 2014]]

Latest revision as of 21:49, 9 January 2020

This seminar examines machine learning by studying seminal papers and recent research results. Each semester, the seminar emphasizes different themes reflecting the current research interests of the participants. The theme of this semester's seminar is Machine Learning for Health. We will read and discuss papers from recent major conferences on machine learning, data mining, and AI related to healthcare. These conferences include:




Previous Semesters

Previous Lab Meetings

Retrieved from "http://wsn.cse.wustl.edu/index.php?title=CSE730x_Research_Seminar&oldid=4733"