Difference between revisions of "CSE730x Research Seminar"

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* '''Instructors:''' [http://www.cse.wustl.edu/~lu Chenyang Lu] and [http://www.cse.wustl.edu/~roman Gruia-Catalin Roman]
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* '''Instructor:''' [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
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* '''Time: Friday at 2-3:30pm, Location: Jolley 542'''
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* '''Time: Thursday at 4pm-4:50pm, Location: Jolley 431'''
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* '''Google group:''' [https://groups.google.com/forum/#!forum/wustlmlseminar group for machine learning seminar]
  
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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.
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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:
  
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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:
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* SenSys ([http://sensys.acm.org])
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* IPSN ([http://ipsn.acm.org])
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* SenSys ([http://sensys.acm.org/2011/])
 
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* IPSN ([http://ipsn.acm.org/2011/])
 
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2011/])
 
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* MobiCom ([http://www.sigmobile.org/mobicom/2011/])
 
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* MobiSys ([http://www.sigmobile.org/mobisys/2011/])
 
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* NSDI ([http://www.usenix.org/events/nsdi11/])
 
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* SOSP ([http://sosp2011.gsd.inesc-id.pt/])
 
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* OSDI ([http://www.usenix.org/events/osdi10/index.html])
 
 
* RTSS ([http://www.rtss.org/])
 
* RTSS ([http://www.rtss.org/])
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* RTAS ([http://www.rtas.org/rtas2010/index.htm])
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* RTAS ([http://www.rtas.org/])
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* Wireless Health ([http://www.wirelesshealth2010.org])
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* ICCPS ([http://www.iccps.org])
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* BodyNets ([http://bodynets.org])
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* Wireless Health ([http://mobihealth.name/])
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* BSN ([http://www.bsn2011.org])
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* MobiCom ([https://sigmobile.org/mobicom/2019/])
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* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
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* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
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* NSDI ([https://www.usenix.org/conference/nsdi19])
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* SOSP ([https://www.sigops.org/])
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* OSDI ([https://www.usenix.org/conference/osdi18/])
  
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=== Jun 17, 2011 - Bo Li ===
 
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HyungJune Lee, Alberto Cerpa, and Philip Levis, "Improving Wireless Simulation Through Noise Modeling," In IPSN'07. Paper:[http://sing.stanford.edu/pubs/ipsn07-noise.pdf], Slides: [http://sing.stanford.edu/talks/ipsn2007.pdf]
 
  
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=== Jun 24, 2011 - Canceled ===
 
  
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=== Jul 1, 2011 - Abusayeed Saifullah ===
 
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Practice talk for ECRTS
 
  
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=== Jul 8, 2011 - Canceled ===
 
  
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=== Jul 15, 2011  - Sisu Xi ===
 
  
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S. Govindan, A.R. Nath, A. Das, B. Urgaonkar, and A. Sivasubramaniam, Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms, 3rd international conference on Virtual execution environments, ACM, 2007.
 
  
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=== Jul 22, 2011  - Rahav Dor ===
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==Previous Semesters==
  
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Title: Evolving Passive RFID with the Wireless Identification and Sensing Platform (WISP)
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* [[Seminar Fall 2019|Fall 2019]]
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* [[Seminar Summer 2019|Summer 2019]]
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Paper:
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* [[Seminar Spring 2019|Spring 2019]]
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A wirelessly powered platform for sensing and computation, [pdf] Joshua R. Smith, Alanson Sample, Pauline Powledge, Alexander Mamishev, Sumit Roy. Proceedings of Ubicomp 2006: 8th International Conference on Ubiquitous Computing. Orange Country, CA, USA, September 17-21 2006, pp. 495-506.
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* [[Seminar Fall 2018|Fall 2018]]
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* [[Seminar Summer 2018|Summer 2018]]
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Relevant links:
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* [[Seminar Spring 2018|Spring 2018]]
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[http://www.seattle.intel-research.net/wisp/ Intel labs]
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* [[Seminar Fall 2017|Fall 2017]]
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* [[Seminar Summer 2017|Summer 2017]]
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[http://www2.seattle.intel-research.net/~jrsmith/ Dr. Joshua Smith]
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* [[Seminar Spring 2017|Spring 2017]]
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* [[Seminar Fall 2016|Fall 2016]]
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[http://students.washington.edu/alanson/index.html# Dr. Alanson Sample]
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* [[Seminar Summer 2016|Summer 2016]]
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* [[Seminar Spring 2016|Spring 2016]]
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[http://wisp.wikispaces.com/Publications WISP Wiki]
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* [[Seminar Fall 2015|Fall 2015]]
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* [[Seminar Summer 2015|Summer 2015]]
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[http://seattle.intel-research.net/wisp/summit/video.html WISP summit 2009]
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* [[Seminar Spring 2015|Spring 2015]]
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* [[Seminar Fall 2014|Fall 2014]]
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=== Jul 29, 2011  - Chengjie Wu ===
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* [[Seminar Summer 2014|Summer 2014]]
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* [[Seminar Spring 2014|Spring 2014]]
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=== Aug 5, 2011 - Mo Sha ===
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* [[Seminar Fall 2013|Fall 2013]]
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* [[Seminar Summer 2013|Summer 2013]]
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=== Aug 12, 2011 - Yong Fu ===
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* [[Seminar Spring 2013|Spring 2013]]
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* [[Seminar Fall 2012|Fall 2012]]
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=== Aug 19, 2011 - Greg Hackmann ===
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* [[Seminar Summer 2012|Summer 2012]]
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* [[Seminar Spring 2012|Spring 2012]]
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=== Aug 26, 2011 -  ===
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* [[Seminar Fall 2011|Fall 2011]]
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* [[Seminar Summer 2011|Summer 2011]]
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==Previous Semesters==
 
 
* [[Seminar Spring 2011|Spring 2011]]
 
* [[Seminar Spring 2011|Spring 2011]]
 
* [[Seminar Fall 2010|Fall 2010]]
 
* [[Seminar Fall 2010|Fall 2010]]
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* [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]
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==Previous Lab Meetings==
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* [[Labmeeting Spring 2020|Spring 2020]]
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* [[Labmeeting Fall 2014|Fall 2014]]
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* [[Labmeeting Summer 2014|Summer 2014]]
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* [[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

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