Gag Awards

The gag awards are joke awards given out to various members of the club for whatever funny or notable actions they did throughout the year.

Origin

The gag awards were created in 2008 by Tanner Smith and Stephen Mihalko as something fun and humorous for the club to laugh about. Though not exactly the original plan, the awards helped bring the season to a hilarious closing spite how the robot did.

Authors

Generally the gag awards are assembled by a few members (one to three) who have a knack for humorous things. The authors think of the awards and have their signatures on the resulting award certificate given out at the end of the year party.

Previous authors for gag awards have been:

• 2010 - Tanner Smith, Patrick Wortman, Max Kennard
• 2009 - Tanner Smith, Patrick Wortman, Stephen Mihalko
• 2008 - Tanner Smith, Stephen Mihalko

Previous Awards

2016

• Aarnav Saxena - most likely to play the saxophone
• Evan Lee – most talkative
• Mark Kim - most likely to break the stands
• Natalie Luong - most likely to beat people
• Nehemiah Elias - most color coordinated
• Poojan Raval - most likely to make memes
• Rithik Raina - most likely to die of yellow fever
• Sana Hafeez - most likely to get locked in a car
• Steven Yang - most likely to play guitar hero
• Tanishq Jain - most likely to play tennis
• Tyler Son - most likely to be caught dabbing on the livestream
• Veer Shah – most likely to be randomly selected at the airport
• Akshay Harish - most likely to become a cheerleader
• Jane Khampha - most likely to make a strange noise
• Mackenzie Glaser - most likely to ruin a powerpoint
• Rebeca Rodila – most likely to catch you at the worst moment
• Dan Ngo - most likely to be a robot
• Nabil Khan-stupid noob
• Preston Shaw-most likely to be "presson" the turbo button
• Fred Smith - driver of the year award
• Scott Karlins - most likely to be arrested for espionage
• Brian Carlson - Why doesn’t build use basecamp yet?
• Alan Glaser- most likely to listen to smooth jazz

2015

• Caroline Means - “Most likely to be afraid of oblong fruit” “
• Daniel Li - “Most likely to lose car.”
• Jay Krishnaswamy - Jay “Krash”naswamy
• Chris Carlson - “Most likely to get lost at competition.”
• Bosco and Alan Glaser - “Best father/son combo”
• Paul Ciaramello - “Most likely to make it to the top of Reddit”
• Tammy Ong - Most likely to be shoplifting tools
• Jason Wu - Lowest life expectancy on GT campus
• Mackenzie Glaser - Most likely to flirt
• Varun Tata - “Most likely to have profile picture stolen”
• Joel Leonardo - “Most likely to give an old white man cheetos”
• Avinash Sivakumar - Most likely to wear women’s clothing
• Sumaer Sahney - Most likely to skip GRITS to play airsoft
• Kevin Jin - “Most likely to move”
• Dallas Corley - Most likely to be at Waffle House
• Don Shaw - “Most likely to refuse hospital treatment.”
• Fred Smith - Most likely to hit somebody on bike and blame it on them
• Mary Rutland - “Most likely to hit Nabil.”
• Pam Karlins - “Most likely to have a guy”

2014

• Andrew Bare-Most likely to have his hands in his pockets
• Chris Bare- Most likely apply theoretical physics to a bot design
• Greg Hentz- Most likely to wear short shorts
• Stuart Hentz- Most likely to survive the zombie apocalypse
• Aakash Patel -Most likely to be ejected for a passionate outburst
• Nitant Dandekar- Most likely to talk to a computer
• Nick Allison- Most likely to pick up chicks at competition
• Daniel Webb- Most likely to be detained by TSA
• Daniel Li- Least likely guy to get voted off the island
• Nina Tran- Most likely to catch you at the worst moment
• Tammy Ong- Most likely to fix anything she touches
• Nabil Khan- Most likely to get a concussion...to get out of makeup work
• Preston Shaw- Most likely to be caught playing flappy bird
• Caroline Means- Most likely to hyperventilate, daily
• Mackenzie Glaser- Most likely to tell you to leave the pit...and not be listened to
• Alexis Phipps- Mostly likely to need a drink
• Don Shaw- Most likely to file a complaint
• Dallas Corley- Most likely to have story about, anything.
• Scott Karlins- Most likely to be involved in a secret government operation
• Mr. Webb-Most likely to steal borrow materials from his company
• Mr. Phipps- Most likely to ruin his car

2010

• "Professional GPS User" - Mary Rutland
• "Most Likely to Solve Physics Problems For Fun" - Michael Kapp
• “Those _ were fast as lightning” - Katherine Li
• "Most Likely to be Seen With a Tape Measure, Possibly a Sombrero" - Dallas Corley
• "Driving the Impossible" - Sunny Gupta
• "[insert name here], Safety Glasses!" - Amber Kahan
• "President of Robotics - Tampa Division" - Max Kennard
• "Two Robots Drive Into a Bar” - Tanner Smith

2009

Unknown

2008

Unknown