CSE 40437/60437 / Paper Presentations
In-class Paper Presentations
In the week of April 19 of class, each group will give an oral presentation on a selected paper in social sensing and CPS. For the paper to be presented, you can select it from any paper listed in "medical sensing and privacy issues" (i.e., the week of April 21) on the course website or any other research papers that fall into the scope of social sensing and cyber-physical systems. You need to confirm with the instructor about your selected paper. If two groups happen to select the same paper, the group who confirms with the instructor earlier has the priority to keep their choice and the other group will need to select a different paper. So please confirm with the instructor at your earliest convenience. The deadline to confirm with the instructor about the presentation paper is Noon March 29 (Tuesday).
Each talk will occupy 8 minutes, followed by 2 minutes
for questions, comments, and transition.
Given the time limit, you must
stick carefully to your message, and practice your talk multiple times
with your group members. Each team member should speak for a portion of the presentation time.
Keep in mind that you are not the authors of the paper, so you do not need to defend everything presented in the paper. Instead, try to exercise your critical thinking ability and make the presentation interactive. For example you can prepare some intriguing questions and sample the opinions from the class. You can also design and lead a mini-discussion-session on a few important limitations you find about the paper. Please also note that your classmates might not read the paper before, so please make sure you provide them with enough information about the paper so they feel comfortable to answer your questions.
Your talk should be accompanied by 6-10 carefully prepared slides.
You may use any tool that you like to create slides, but you must
email a draft of your slides to me in PDF or PPTX format by Noon April 15 (Friday) so that I can take a look and give you some feedback if needed. After that, please email me the final version of your slides by Noon on the day of your presentation so I can upload them to the computer in the classroom.
(There won't be time for mucking around with laptops, cables, etc.)
A typical structure of the talk would include: Background/Introduction, Challenges, Solutions, Evaluations and Discussions, Limitations and Future Work.
Finally, be considerate of your classmates -- be present at all of the
class sessions, actively get involved in the class discussion and finish an evaluation/feedback form of all presentations except your own.
Grading
Your grade will be based on the following rubric:
Does the presentation reflect the group's critical thinking ability?
Has the group read the paper carefully and prepared the presentation well?
Is the presentation interactive? Is the discussion part well organized?
Is the oral presentation clear and logical, with each group
member participating, and completing the presentation within the time limit?
Did the project members attend everyone else's talks, ask appropriate questions and give helpful feedback?
Selected Papers
- Kim Ngo: "Expectation and Purpose: Understanding Users' Mental Models of Mobile App Privacy through Crowdsourcing"
- Salvador Aguinaga and Aastha Nigam: "BiliCam: Using Mobile Phones to Monitor Newborn Jaundice"
- Jacob Gavin and Ryan Tick: "ProtectMyPrivacy: Detecting and Mitigating Privacy Leaks on iOS Devices"
- Emily Claps and Lucinda Krahl: "Privacy.Tag: Privacy Concern Expressed and Respected"
- Arturo Argueta and Jermaine Marshall "Privacy Manipulation and Acclimation in a Location Sharing Application"
- Patrick Hansen and Katherine Loughran "Detecting Cocaine Use with Wearable Electrocardiogram Sensors"
- Kyle Koser, Zachary Imholte and Shuyang Li "An Integrated Data Mining Approach to Real-time Clinical Monitoring and Deterioration Warning"
- Kevin Boyd, Vaishnav Murthy and Calvin Rutherford "Contactless Sleep Apnea Detection on Smartphones"
- Henry Dambanemuya and Christopher Ray "Context-Aware Wireless Sensor Networks for Assisted-Living and Residential Monitoring"
- Diandra Kubo and Artur Pimentel "Cyber-Physical Modeling of Implantable Cardiac Medical Devices"
- Breno Dantas Cruz and Afzal Hossain "Privacy-aware Regression Modeling of Participatory Sensing Data"
- Garrett Mcgrath "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems"
- Edwin Onattu, Buchanan Bourdon and Travis Patterson "Sensor Selection for Energy-Efficient Ambulatory Medical Monitoring"
Schedule
Tuesday, April 19:
- 2:00: Arturo Argueta and Jermaine Marshall
- 2:10: Breno Dantas Cruz and Afzal Hossain
- 2:20: Jacob Gavin and Ryan Tick
- 2:30: Kevin Boyd, Vaishnav Murthy and Calvin Rutherford
- 2:40: Garrett Mcgrath
- 2:50: Kim Ngo
- 3:00: Patrick Hansen and Katherine Loughran
Thursday, April 21:
- 2:00: Edwin Onattu, Buchanan Bourdon and Travis Patterson
- 2:10: Diandra Kubo and Artur Pimentel
- 2:20: Emily Claps and Lucinda Krahl
- 2:30: Kyle Koser, Zachary Imholte and Shuyang Li
- 2:40: Salvador Aguinaga and Aastha Nigam
- 2:50: Henry Dambanemuya and Christopher Ray
- 3:00: Summary (Prof. Wang)
CSE 40437/60437 / Paper Presentations