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Student Activity
Events for October
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General Meetings
Mon, Oct 01, 2018 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Learning how to properly vet and evaluate need areas in the healthcare system takes years of trial, error, and experience, but nobody has time for that. Swing by THH 116 this Monday to step through the notorious Stanford Biodesign process, brainstorm like the best of them, and, of course, eat!
Location: Mark Taper Hall Of Humanities (THH) - 116
Audiences: Everyone Is Invited
Contact: MEDesign USC
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ASBME Fall Networking Night
Fri, Oct 05, 2018 @ 06:30 PM - 08:30 PM
Viterbi School of Engineering Student Organizations
Student Activity
Join ASBME at our seventh annual Fall Networking Night with representatives from various biomedical companies! This event will offer you a unique opportunity to converse with recruiters over dinner and learn about internship programs and job openings in 2019. Companies attending include Abbott, Edwards Lifesciences, Medtronic, and more! To reserve your seat, please RSVP by filling out this form here AND submitting a $20 deposit to the front desk of DRB 140 by Friday, September 28th. The deposit will be returned to you at check-in for the event. Due to limited room capacity, preference will be given to junior and senior undergraduate students who are MEMBERS of ASBME. However, we suggest that any interested underclassmen should still RSVP as spots may open up. Spot confirmations and additional details will be sent out by Monday, October 1st. Any questions can be directed to Dominie Miyasato at dmiyasat@usc.edu.
Location: Ronald Tutor Campus Center (TCC) - 450
Audiences: Everyone Is Invited
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PhD Defense - Ruixin Qiang
Fri, Oct 19, 2018 @ 10:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
Student Activity
Title: Do Humans Play Dice? Choice Making with Randomization
Time: 10 am on Friday, October 19th, 2018
Location: SAL 322
Ph.D. Candidate: Ruixin Qiang
Committee:
Prof. David Kempe
Prof. Shaddin Dughmi
Prof. Odilon Camara
Prof. Ming-Deh Huang
Abstract:
Making choices with a die sounds unhelpful, and may be adopted only by students who do not know the correct answer during exams. However, there are cases for which rolling a die is the best way to solve the problem. Allocating limited resources fairly is a common scenario that randomness is adopted. For example, the H1B lottery used by USCIS to select who can get the visa. On the other hand, making a choice randomly may be the only way to benefit oneself. In a repeated rock-paper-scissors game, a deterministic player can never win, unless his opponent does not observe he never changes his strategy. In this thesis, we examine several scenarios when randomization does and does not work.
We first study information structure design, also called ``persuasion'' or ``signaling,'' in the presence of a constraint on the amount of communication. We focus on the fundamental setting of bilateral trade, which in its simplest form involves a seller with a single item to price, a buyer whose value for the item is drawn from a common prior distribution over n different possible values, and a take-it-or-leave-it-offer protocol. A mediator with access to the buyer's type may partially reveal such information to the seller in order to further some objective such as the social welfare or the seller's revenue. A simple example can show that revealing the information deterministically is not optimal for the social welfare. We study how randomization can help in the communication constrained setting.
We next study the existence of dice-based winner-selection rules for given interim rules. In a winner-selection environment, multiple winners are selected from a candidate set, subject to certain feasibility constraints. The interim rule summarizes the probability of each candidate is selected. We show that when the feasibility constraint is a matroid constraint, any feasible interim rule admits a dice-based implementation. A dice-based implementation associates each candidate a die. To choose the winner, the rule rolls all dice and picks the subset that maximizes the sum of rolled value, subject to the feasibility constraint.
Aside from the scenarios in which dice can help, we also show two cases when they fail. Both of the cases fall in the Bayesian Persuasion model of Kamenica and Gentzkow. For one setting, we show that our positive algorithmic results for bilateral trade do not extend to communication-constrained signaling in the Bayesian Persuasion model. Specifically, we show that it is NP-hard to approximate the optimal sender's utility to within any constant factor in the presence of communication constraints. For the other, we treat Bayesian persuasion as a winner-selection environment and show an instance that does not admit a dice-based implementation.
Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Everyone Is Invited
Contact: Ryan Rozan
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ASBME GM 4: 3D Printing Workshop
Wed, Oct 24, 2018 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Are you looking for more skills to put on your resume? Come out to our technical workshop to learn how to 3D print! Our 3D printing workshop will teach you the basics of how to use ASBME's Prusa 3D printer. Once trained on the printer, ASBME members will be able to use the 3D printer for personal projects! We will have free dinner too!
Location: Ronald Tutor Campus Center (TCC) - 227
Audiences: Everyone Is Invited