CSE Demo Day - Fall 2016

We’re thrilled to invite you to this year’s Comp. Sci. & Eng.  Winter Demo Day.  Student groups from several CSE capstone classes will be presenting the culmination of 3-months of effort, hard work, (metaphorical) blood, sweat (well… caffein really), and tears (see above). 

Details

  Where:

Davis Hall, 1st Floor Atrium

  When:

Friday Dec. 9; 1 PM - 6 PM.

## Winners #### First Prize * **Gesture-based button control** * Farha Huma * Abhinav Sharma * Abhinav Chaturvedi * Naved Merchant * Archana Krishnan #### Honorable Mentions * **NLP Queries and Table Synthesis** * Lalith Vikram Natarajan * Nisarg Shah * **Incognito mode for apps** * Nanda Kishore Krishna * Mahesh Venkataramaiah * Sammok Kabasi * Vandana Chokkam * Vardhana Srinivas Kulkarni ## Photos
## Presented Projects This year's participating classes and projects include:

Advanced Computer Systems (CSE 622)

Automatic login for WiFi captive portals
This project enables automatic login for WiFi captive portals on Android, e.g., Starbucks, Tim Hortons, UB Guest, etc. A user logs in to a captive portal once, and the system will record the actions and later reply them to automatically log in.
Incognito mode for apps
This project enables "Incognito Mode" for Android apps, similar in a way that Chrome does for web browsing. A user can enable this and use an app; after the user closes the app, nothing gets stored on the phone.
App overlay for quick use
This project allows an app to appear on top of another app on Android, in a smaller size screen. Sometimes a user wants to quickly use one app linked from another app, and come back; this enables such use.
End user 'wakelock' for energy efficiency
This project allows end users to control wakelocks held by different apps on Android. For example, YouTube holds a screen-on wakelock on Android to prevent the screen to go off while watching, which is inconvenient and energy wasting if a user just wants to listen to a song; it would be nice to be able to control the wakelock so the user can safely turn off the screen. This system allows such wakelock control.
Context-aware, user- and developer-configurable notification system
This project enables Android users to configure when to receive and when not to receive notifications based on contexts, e.g, time, location, lighting conditions, and other environmental conditions. The system does not display notifications until user-provided conditions are met or vice versa.
Context-aware UI action record and replay
This project allows certain UI actions on Android to be performed depending on contexts, e.g., time, location, etc. For example, a user can record a bus-schedule app launching UI actions, i.e., clicks, and asks the system to replay those actions when the user is near a bus stop.
Gesture-based button control
This project allows Android users to associate gestures with buttons on a smartphone, e.g., power on/off, volume control, home button, etc. A user can use apredefined gestures to use buttons.
A new photo data management framework
This project designs a new photo data management framework on Android, that allows photo management apps, photo editors, and photo filters to be developed separately and used together to serve users better.
New cloud-database sync mechanisms
This project presents new mechanisms to sync Android databases with cloud storage services. DB syncing was previously not well-investigated, and this project presents three mechanisms to do so.
Text filtering for apps
This project allows users to filter the text displayed on an Android app. This is useful for parental control and general content filtering.
Context-aware app suggestions
This project enables the Android lock screen to suggest relevant apps based on contexts. For example, if a user is running, the system displays fitness apps or music apps on the lock screen, so that the user can quickly open them if necessary.

Languages and Runtimes for Big Data (CSE 662)

PocketData summarization
Utilizing Android query logs, we model common behaviors and interesting patterns which can be used to realistically emulate workloads created by Android applications and point out to possible bugs or performance improvement opportunities.
NLP Queries and Table Synthesis
Integrating a Natural Language Processing module in Mimir which is capable of solving a non-SQL user’s queries, proposing and adding tables/ column nodes to an existing ontological network.
On-the-fly CSV parser
Building different techniques to parse a CSV file on-the-fly and comparing their performances
Sideways and on-demand cracking
Implementing and evaluating an adaptive indexing strategy called sideways cracking, under a different set of workloads.
Just-in-time data structure policy design
Implementing an organizational strategy called a just-in-time data structure policy to handle workloads that change over time, creating different optimal layouts.

Past Demo Days

Fall 2016 Fall 2017 Fall 2018 Fall 2019 Spring 2019 Fall 2020 Fall 2021 Spring 2021 Fall 2022 Spring 2022 Fall 2023 Spring 2023 Fall 2024 Spring 2024